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Zhuang M, Wang L, He X, Ma L, Song Y, Chen N. Prevalence of sarcopenic obesity: comparison of different diagnostic criteria and exploration of optimal screening methods. BMC Geriatr 2024; 24:799. [PMID: 39350053 PMCID: PMC11443907 DOI: 10.1186/s12877-024-05378-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Accepted: 09/13/2024] [Indexed: 10/04/2024] Open
Abstract
BACKGROUND AND AIMS Despite concerns on the adverse health outcomes of sarcopenic obesity (SO), exploration regarding the applicability of different diagnostic criteria and the optimal screening methods is still lacking. This study aims to compare the prevalence and diagnostic agreement of SO under four diagnostic criteria in Chongming, Shanghai, China and assess the diagnostic value of nine screening methods for SO. METHODS The study population included older people aged ≥ 65 years. The Asian Working Group for Sarcopenia-2019 (AWGS-2019) was used to diagnose sarcopenia. Obesity was defined using percentage of body fat (PBF), percent of body fat exceeding the 60th percentile (60% PBF), body mass index (BMI) and waist circumference (WC). The four diagnostic criteria for SO were AWGS + PBF, AWGS + 60% PBF, AWGS + BMI and AWGS + WC. Nine screening methods were the sarcopenia questionnaire [the questionnaire with five items to screen for sarcopenia (SARC-F), the addition of calf circumference to the SARC-F (SARC-CalF), and the addition of elderly age and BMI to the SARC-F (SARC-F + EBM)] combined with commonly used obesity indicators. Cohen's kappa compared agreement between diagnostic criteria, whilst sensitivity, specificity, receiver operating characteristics (ROC) and area under the ROC curve (AUC) compared the diagnostic value of nine screening methods. RESULTS A total of 1407 older people were enrolled. The prevalence of SO ranged from 0.3 to 9.9%. The highest agreement between AWGS + 60% PBF and AWGS + PBF. When the AWGS + PBF was used as the 'gold standard' (due to its high agreement and high prevalence), SARC-CalF + PBF had the highest AUC value, and SARC-F + BMI had the highest sensitivity. The recommended cut-off values for SARC-F + BMI are SARC-F ≥ 1 score and BMI ≥ 19.845 kg/m², and the recommended cut-off values for SARC-CalF + PBF are SARC-CalF ≥ 5 score and PBF ≥ 34.55%. CONCLUSION The prevalence of SO varied greatly amongst the four diagnostic criteria. AWGS + PBF is recommended for diagnosing SO in older people. SARC-F + BMI and SARC-CalF + PBF can be used as screening methods for SO.
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Affiliation(s)
- Min Zhuang
- Department of Rehabilitation, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China
- The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Ling Wang
- Department of Rehabilitation, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China
- School of Exercise and Health, Shanghai University of Sport, Shanghai, China
| | - Xiangfeng He
- Department of Rehabilitation, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Lin Ma
- Department of Rehabilitation, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Yanping Song
- Department of Rehabilitation, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Nan Chen
- Department of Rehabilitation, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China.
- School of Exercise and Health, Shanghai University of Sport, Shanghai, China.
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González-Arellanes R, Urquidez-Romero R, Rodríguez-Tadeo A, Esparza-Romero J, Méndez-Estrada RO, Ramírez-López E, Robles-Sardin AE, Pacheco-Moreno BI, Alemán-Mateo H. Predictive equations for fat mass in older Hispanic adults with excess adiposity using the 4-compartment model as a reference method. Eur J Clin Nutr 2023; 77:515-524. [PMID: 35705857 DOI: 10.1038/s41430-022-01171-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 05/23/2022] [Accepted: 05/25/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND Predictive equations are the best option for assessing fat mass in clinical practice due to their low cost and practicality. However, several factors, such as age, excess adiposity, and ethnicity can compromise the accuracy of the equations reported to date in the literature. OBJECTIVE To develop and validate two predictive equations for estimating fat mass: one based exclusively on anthropometric variables, the other combining anthropometric and bioelectrical impedance variables using the 4C model as the reference method. SUBJECTS/METHODS This is a cross-sectional study that included 386 Hispanic subjects aged ≥60 with excess adiposity. Fat mass and fat-free mass were measured by the 4C model as predictive variables. Age, sex, and certain anthropometric and bioelectrical impedance data were considered as potential predictor variables. To develop and to validate the equations, the multiple linear regression analysis, and cross-validation protocol were applied. RESULTS Equation 1 included weight, sex, and BMI as predictor variables, while equation 2 considered sex, weight, height squared/resistance, and resistance as predictor variables. R2 and RMSE values were ≥0.79 and ≤3.45, respectively, in both equations. The differences in estimates of fat mass by equations 1 and 2 were 0.34 kg and -0.25 kg, respectively, compared to the 4C model. This bias was not significant (p < 0.05). CONCLUSIONS The new predictive equations are reliable for estimating body composition and are interchangeable with the 4C model. Thus, they can be used in epidemiological and clinical studies, as well as in clinical practice, to estimate body composition in older Hispanic adults with excess adiposity.
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Affiliation(s)
- Rogelio González-Arellanes
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición. Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria. C.P. 83304. Hermosillo, Sonora, Mexico
| | - Rene Urquidez-Romero
- Instituto de Ciencias Biomédicas. Departamento de Ciencias de la Salud, Universidad Autónoma de Ciudad Juárez, Ave. Plutarco Elías Calles #1210, Col. Fovissste Chamizal. C.P. 32310. Ciudad Juárez, Chihuahua, Mexico
| | - Alejandra Rodríguez-Tadeo
- Instituto de Ciencias Biomédicas. Departamento de Ciencias de la Salud, Universidad Autónoma de Ciudad Juárez, Ave. Plutarco Elías Calles #1210, Col. Fovissste Chamizal. C.P. 32310. Ciudad Juárez, Chihuahua, Mexico
| | - Julián Esparza-Romero
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición. Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria. C.P. 83304. Hermosillo, Sonora, Mexico
| | - Rosa Olivia Méndez-Estrada
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición. Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria. C.P. 83304. Hermosillo, Sonora, Mexico
| | - Erik Ramírez-López
- Facultad de Salud Pública y Nutrición, Universidad Autónoma de Nuevo León, Ave. Dr. Eduardo Aguirre Pequeño #905, Col. Mitras Centro. C.P. 64460, Monterrey, Nuevo León, Mexico
| | - Alma-Elizabeth Robles-Sardin
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición. Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria. C.P. 83304. Hermosillo, Sonora, Mexico
| | - Bertha-Isabel Pacheco-Moreno
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición. Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria. C.P. 83304. Hermosillo, Sonora, Mexico
| | - Heliodoro Alemán-Mateo
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición. Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria. C.P. 83304. Hermosillo, Sonora, Mexico.
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Rossini-Venturini AC, Veras L, Abdalla PP, Santos APD, Tasinafo-Junior MF, Silva LSLD, Alves TC, Ferriolli E, Romo-Perez V, Garcia-Soidan JL, Mota J, Machado DRL. Multicompartment body composition analysis in older adults: a cross-sectional study. BMC Geriatr 2023; 23:87. [PMID: 36759773 PMCID: PMC9912531 DOI: 10.1186/s12877-023-03752-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 11/23/2022] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND During aging, changes occur in the proportions of muscle, fat, and bone. Body composition (BC) alterations have a great impact on health, quality of life, and functional capacity. Several equations to predict BC using anthropometric measurements have been developed from a bi-compartmental (2-C) approach that determines only fat mass (FM) and fat-free mass (FFM). However, these models have several limitations, when considering constant density, progressive bone demineralization, and changes in the hydration of the FFM, as typical changes during senescence. Thus, the main purpose of this study was to propose and validate a new multi-compartmental anthropometric model to predict fat, bone, and musculature components in older adults of both sexes. METHODS This cross-sectional study included 100 older adults of both sexes. To determine the dependent variables (fat mass [FM], bone mineral content [BMC], and appendicular lean soft tissue [ALST]) whole total and regional dual-energy X-ray absorptiometry (DXA) body scans were performed. Twenty-nine anthropometric measures and sex were appointed as independent variables. Models were developed through multivariate linear regression. Finally, the predicted residual error sum of squares (PRESS) statistic was used to measure the effectiveness of the predicted value for each dependent variable. RESULTS An equation was developed to simultaneously predict FM, BMC, and ALST from only four variables: weight, half-arm span (HAS), triceps skinfold (TriSK), and sex. This model showed high coefficients of determination and low estimation errors (FM: R2adj: 0.83 and SEE: 3.16; BMC: R2adj: 0.61 and SEE: 0.30; ALST: R2adj: 0.85 and SEE: 1.65). CONCLUSION The equations provide a reliable, practical, and low-cost instrument to monitor changes in body components during the aging process. The internal cross-validation method PRESS presented sufficient reliability in the model as an inexpensive alternative for clinical field use.
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Affiliation(s)
- Ana Claudia Rossini-Venturini
- College of Nursing at Ribeirão Preto, University of São Paulo, Avenue of Bandeirantes nº 3900, University Campus - Monte Alegre, Ribeirão Preto-SP, Brazil. .,Study and Research Group in Anthropometry, Training, and Sport (GEPEATE), São Paulo, Brazil.
| | - Lucas Veras
- grid.5808.50000 0001 1503 7226The Research Centre in Physical Activity, Health, and Leisure (CIAFEL), University of Porto, Porto, Portugal ,grid.5808.50000 0001 1503 7226Laboratory for Integrative and Translational Research in Population Health (ITR), University of Porto, Porto, Portugal
| | - Pedro Pugliesi Abdalla
- grid.11899.380000 0004 1937 0722College of Nursing at Ribeirão Preto, University of São Paulo, Avenue of Bandeirantes nº 3900, University Campus - Monte Alegre, Ribeirão Preto-SP, Brazil ,Study and Research Group in Anthropometry, Training, and Sport (GEPEATE), São Paulo, Brazil
| | - André Pereira dos Santos
- grid.11899.380000 0004 1937 0722College of Nursing at Ribeirão Preto, University of São Paulo, Avenue of Bandeirantes nº 3900, University Campus - Monte Alegre, Ribeirão Preto-SP, Brazil ,Study and Research Group in Anthropometry, Training, and Sport (GEPEATE), São Paulo, Brazil ,grid.11899.380000 0004 1937 0722School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | - Márcio Fernando Tasinafo-Junior
- Study and Research Group in Anthropometry, Training, and Sport (GEPEATE), São Paulo, Brazil ,grid.11899.380000 0004 1937 0722School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | - Leonardo Santos Lopes da Silva
- Study and Research Group in Anthropometry, Training, and Sport (GEPEATE), São Paulo, Brazil ,grid.11899.380000 0004 1937 0722School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | - Thiago Cândido Alves
- Study and Research Group in Anthropometry, Training, and Sport (GEPEATE), São Paulo, Brazil
| | - Eduardo Ferriolli
- grid.11899.380000 0004 1937 0722Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil ,grid.11899.380000 0004 1937 0722Laboratório de Investigação Médica em Envelhecimento (LIM-66), Serviço de Geriatria, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo, Brazil
| | - Vicente Romo-Perez
- grid.6312.60000 0001 2097 6738Faculty of Education and Sport Sciences, University of Vigo, Vigo, Spain
| | - Jose Luis Garcia-Soidan
- grid.6312.60000 0001 2097 6738Faculty of Education and Sport Sciences, University of Vigo, Vigo, Spain
| | - Jorge Mota
- grid.5808.50000 0001 1503 7226The Research Centre in Physical Activity, Health, and Leisure (CIAFEL), University of Porto, Porto, Portugal ,grid.5808.50000 0001 1503 7226Laboratory for Integrative and Translational Research in Population Health (ITR), University of Porto, Porto, Portugal
| | - Dalmo Roberto Lopes Machado
- grid.11899.380000 0004 1937 0722College of Nursing at Ribeirão Preto, University of São Paulo, Avenue of Bandeirantes nº 3900, University Campus - Monte Alegre, Ribeirão Preto-SP, Brazil ,Study and Research Group in Anthropometry, Training, and Sport (GEPEATE), São Paulo, Brazil ,grid.5808.50000 0001 1503 7226The Research Centre in Physical Activity, Health, and Leisure (CIAFEL), University of Porto, Porto, Portugal ,grid.11899.380000 0004 1937 0722School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil ,grid.7157.40000 0000 9693 350XESEC - Universidade do Algarve. , Campus da Penha, Faro, Portugal
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Cancello R, Brunani A, Brenna E, Soranna D, Bertoli S, Zambon A, Lukaski HC, Capodaglio P. Phase angle (PhA) in overweight and obesity: evidence of applicability from diagnosis to weight changes in obesity treatment. Rev Endocr Metab Disord 2022; 24:451-464. [PMID: 36484943 PMCID: PMC9735068 DOI: 10.1007/s11154-022-09774-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/28/2022] [Indexed: 12/13/2022]
Abstract
Phase angle (PhA) is a recently proposed marker of nutritional status in many clinical conditions. Its use in patients with obesity presents different critical concerns due to the higher variability of the two measured parameters (resistance, R, and reactance, Xc) that contribute to the determination of PhA. Controversial is the relation between PhA and BMI that might vary with graded levels of obesity due to the variation in fat and free fat mass. Obesity is frequently associated with metabolic, hepatic, cardiovascular and kidney diseases that introduce variations in PhA values, in relation to multimorbidity and severity degree of these diseases. It is reported that the improvement of clinical condition is associated with a positive change in PhA. Also, the treatment of obesity with weight loss might confirm this effect, but with different responses in relation to the type and duration of the intervention applied. In fact, the effect appears not only related to the percentage of weight loss but also the possible loss of free fat mass and the nutritional, metabolic and structural modifications that might follow each therapeutic approach to decrease body weight. We can conclude that the PhA could be used as marker of health status in patients with obesity supporting an appropriate weight loss intervention to monitor efficacy and fat free mass preservation.
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Affiliation(s)
- Raffaella Cancello
- grid.418224.90000 0004 1757 9530Obesity Unit and Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Amelia Brunani
- grid.418224.90000 0004 1757 9530Laboratory of Biomechanics, Rehabilitation and Ergonomics, IRCCS, Istituto Auxologico Italiano, Piancavallo Verbania, Italy
| | - Ettore Brenna
- grid.418224.90000 0004 1757 9530Biostatistic Unit, IRCCS Istituto Auxologico Italiano, Milano, Italy
| | - Davide Soranna
- grid.418224.90000 0004 1757 9530Biostatistic Unit, IRCCS Istituto Auxologico Italiano, Milano, Italy
| | - Simona Bertoli
- grid.418224.90000 0004 1757 9530Obesity Unit and Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, IRCCS Istituto Auxologico Italiano, Milan, Italy
- grid.4708.b0000 0004 1757 2822Department of Food, Environmental and Nutritional Sciences (DeFENS), International Center for the Assessment of Nutritional Status (ICANS), University of Milan, Via Sandro Botticelli 21, 20133 Milan, Italy
| | - Antonella Zambon
- grid.418224.90000 0004 1757 9530Biostatistic Unit, IRCCS Istituto Auxologico Italiano, Milano, Italy
- grid.7563.70000 0001 2174 1754Department of Statistics and Quantitative Methods, University of Milan-Bicocca, Milan, Italy
| | - Henry C. Lukaski
- grid.266862.e0000 0004 1936 8163Department of Kinesiology and Public Health Education, University of North Dakota, Grand Forks, USA
| | - Paolo Capodaglio
- grid.418224.90000 0004 1757 9530Laboratory of Biomechanics, Rehabilitation and Ergonomics, IRCCS, Istituto Auxologico Italiano, Piancavallo Verbania, Italy
- grid.7605.40000 0001 2336 6580Department of Surgical Sciences, Physical Medicine and Rehabilitation, University of Torino, 10126 Torino, Italy
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Ramírez-Manent JI, Altisench Jané B, Tomás Salvà M, Arroyo Bote S, González San Miguel HM, López-González ÁA. Influence of Educational Level and Healthy Habits on the Prevalence of Diabesity in a Spanish Working Population. Nutrients 2022; 14:nu14194101. [PMID: 36235753 PMCID: PMC9573222 DOI: 10.3390/nu14194101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 09/26/2022] [Accepted: 09/29/2022] [Indexed: 11/05/2022] Open
Abstract
Background: Diabesity is a growing problem internationally. Taking into account the importance of physical activity and diet in its prevention and treatment, the objective of this study was to delve into the impact of healthy habits on diabesity. Methods: A descriptive, cross-sectional study was carried out in 386,924 Spanish adult workers. Obesity was determined according to eleven different formulas. Life habits were also valued; sociodemographic variables; and educational level; as well as analytical and clinical variables such as blood pressure and blood glucose levels. The association between the different variables was performed using the chi-square and the Student’s t-tests when the samples were independent. A multivariate analysis was performed using the multinomial logistic regression test by calculating the odds ratio and a 95% confidence interval. The Hosmer–Lemeshow goodness-of-fit test was also performed. Results: The overall prevalence of diabesity ranged between 0.3% (95% CI 0.3–0.4) when obesity was assessed according to the abdominal volume index and 8.3% (95% CI 8.2–8.4) when evaluated according to the CUN-BAE (Clínica Universitaria de Navarra Body Adiposity Estimator) formula. The prevalence of diabesity was also higher in workers with a non-heart-healthy diet and in those who did not exercise regularly. Conclusions: The most disadvantaged socioeconomic classes are those with the highest prevalence of diabesity. It is important to prioritise prevention in populations and communities with the most unfavourable social and environmental conditions to reduce the burden of diabesity.
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Affiliation(s)
- José Ignacio Ramírez-Manent
- Faculty of Medicine, University Balearic Islands, 07009 Palma, Balearic Islands, Spain
- IDISBA, Balearic Islands Health Research Institute Foundation, 07004 Palma, Balearic Islands, Spain
- General Practitioner Department, Balearic Islands Health Service, 07003 Palma, Balearic Islands, Spain
| | - Bárbara Altisench Jané
- General Practitioner Department, Balearic Islands Health Service, 07003 Palma, Balearic Islands, Spain
- Correspondence:
| | - Matías Tomás Salvà
- Investigation Group ADEMA SALUD IUNICS, 07003 Palma, Balearic Islands, Spain
- Faculty of Dentistry, University School ADEMA, 07009 Palma, Balearic Islands, Spain
| | - Sebastiana Arroyo Bote
- Investigation Group ADEMA SALUD IUNICS, 07003 Palma, Balearic Islands, Spain
- Faculty of Dentistry, University School ADEMA, 07009 Palma, Balearic Islands, Spain
| | - Hilda María González San Miguel
- Investigation Group ADEMA SALUD IUNICS, 07003 Palma, Balearic Islands, Spain
- Faculty of Dentistry, University School ADEMA, 07009 Palma, Balearic Islands, Spain
| | - Ángel Arturo López-González
- IDISBA, Balearic Islands Health Research Institute Foundation, 07004 Palma, Balearic Islands, Spain
- Investigation Group ADEMA SALUD IUNICS, 07003 Palma, Balearic Islands, Spain
- Faculty of Dentistry, University School ADEMA, 07009 Palma, Balearic Islands, Spain
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González-Arellanes R, Urquidez-Romero R, Rodríguez-Tadeo A, Esparza-Romero J, Méndez-Estrada RO, Ramírez-López E, Robles-Sardin AE, Pacheco-Moreno BI, Alemán-Mateo H. Determination of Fat-Free Mass Density and its Components in Older Hispanic Adults by In Vivo Methods. J Clin Densitom 2022; 25:641-648. [PMID: 34666938 DOI: 10.1016/j.jocd.2021.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 08/24/2021] [Accepted: 08/30/2021] [Indexed: 11/28/2022]
Abstract
The densitometry method estimates body composition based on cadaver reference values, mainly the fat-free mass density value of 1.100 g/cm3. However, several changes in fat-free mass components by aging, ethnicity, and excess adiposity could influence their density and affect body composition estimations. The present study aimed to compare the mean fat-free mass component values in older Hispanic adults to cadaver reference values. This cross-sectional study included a sample of 420 subjects aged ≥60 yr from northern Mexico. Fat-free mass was determined by the four-compartment model using air displacement plethysmography, the deuterium dilution technique, and dual-energy X-ray absorptiometry for body density, aqueous and mineral fractions of body weight, respectively. A 1-sample t test was used to compare the fat-free mass density and aqueous, mineral, and residue fractions of fat-free mass from subjects in the study to the assumed cadaver reference values. The mean fat-free mass density value for the total sample of older Hispanic adults (1.096 ± 0.011 g/cm3) was significantly (p < 0.001) lower than the assumed value of 1.100 g/cm3, except in obese older men. The mean aqueous fraction of fat-free mass (74.8 ± 3.3%) was higher than the assumed value of 73.8%, and the mean residue fraction of fat-free mass value was lower (18.3 ± 3.4%) than the reference value of 19.4%. Indeed, only the mean mineral fraction of fat-free mass value (6.8 ± 0.8%) was similar to the reference value. In the total sample, all characteristic mean fat-free mass values in these older Hispanic adults differed from cadaver reference values, except the mineral fraction of fat-free mass value.
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Affiliation(s)
- Rogelio González-Arellanes
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición, Hermosillo, Sonora, México
| | - Rene Urquidez-Romero
- Departamento de Ciencias de la Salud, Universidad Autónoma de Ciudad Juárez, Instituto de Ciencias Biomédicas, Ciudad Juárez, Chihuahua, México
| | - Alejandra Rodríguez-Tadeo
- Departamento de Ciencias de la Salud, Universidad Autónoma de Ciudad Juárez, Instituto de Ciencias Biomédicas, Ciudad Juárez, Chihuahua, México
| | - Julián Esparza-Romero
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición, Hermosillo, Sonora, México
| | - Rosa Olivia Méndez-Estrada
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición, Hermosillo, Sonora, México
| | - Erik Ramírez-López
- Facultad de Salud Pública y Nutrición, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México
| | - Alma-Elizabeth Robles-Sardin
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición, Hermosillo, Sonora, México
| | - Bertha-Isabel Pacheco-Moreno
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición, Hermosillo, Sonora, México
| | - Heliodoro Alemán-Mateo
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición, Hermosillo, Sonora, México.
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Martins C, Gower BA, Hunter GR. Metabolic adaptation delays time to reach weight loss goals. Obesity (Silver Spring) 2022; 30:400-406. [PMID: 35088553 PMCID: PMC8852805 DOI: 10.1002/oby.23333] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 09/29/2021] [Accepted: 10/14/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The aim of this study was to determine whether metabolic adaptation, at the level of resting metabolic rate, was associated with time to reach weight loss goals, after adjusting for confounders. METHODS A total of 65 premenopausal women with overweight (BMI: 28.6 ± 1.5 kg/m2 ; age: 36.4 ± 5.9 years; 36 were White, and 29 were Black) followed an 800-kcal/d diet until BMI ≤25 kg/m2 . Body weight and composition were measured at baseline and after weight loss. Dietary adherence was calculated from total energy expenditure, determined by double labeled water, and body composition changes. Metabolic adaptation was defined as a significantly lower measured versus predicted resting metabolic rate (from own regression model). A regression model to predict time to reach weight loss goals was developed including target weight loss, energy deficit, dietary adherence, and metabolic adaptation as predictors. RESULTS Participants lost on average 12.5 ± 3.1 kg (16.1% ± 3.4%) over 155.1 ± 49.2 days. Average dietary adherence was 63.6% ± 31.0%. There was significant metabolic adaptation after weight loss (-46 ± 113 kcal/d, p = 0.002) and this variable was a significant predictor of time to reach weight loss goals (β = -0.1, p = 0.041), even after adjusting for confounders (R2 adjusted = 0.63, p < 0.001). CONCLUSION In premenopausal women with overweight, metabolic adaptation after a 16% weight loss increases the length of time necessary to achieve weight loss goals.
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Affiliation(s)
- Catia Martins
- Obesity Research Group, Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Centre for Obesity and Innovation (ObeCe), Clinic of Surgery, St. Olav University Hospital, Trondheim, Norway
- Department of Nutrition Sciences, University of Alabama at Birmingham, USA
| | - Barbara A Gower
- Department of Nutrition Sciences, University of Alabama at Birmingham, USA
| | - Gary R Hunter
- Department of Nutrition Sciences, University of Alabama at Birmingham, USA
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Abdalla PP, Bohn L, da Silva LSL, Dos Santos AP, Tasinafo Junior MF, Venturini ACR, Dos Santos Carvalho A, Gomez DM, Mota J, Machado DRL. Identification of muscle weakness in older adults from normalized upper and lower limbs strength: a cross-sectional study. BMC Sports Sci Med Rehabil 2021; 13:161. [PMID: 34922598 PMCID: PMC8684151 DOI: 10.1186/s13102-021-00390-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 11/17/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND To propose cut-off points for older adults' weakness for upper and lower limbs muscle strength normalized by body size with the ratio standard/muscle quality and allometric scaling. METHODS Ninety-four community-dwelling older adults (69.1% women) were assessed for 49 body-size variables (anthropometry, body composition and body indexes), handgrip strength (HGS), one maximum repetition measurement for knee extensors (1RM), isokinetic knee extension peak torque at 60°/s (PT), and six-minute walk test (6MWT). Ratio standard or muscle quality (muscle strength/body size) and allometric scaling (muscle strength/body sizeb; when b is the allometric exponent) were applied for body-size variables significantly correlated with HGS, 1RM and PT. Cut-off points were computed according to sex based on mobility limitation (6MWT < 400 m) with ROC curve and Youden index. RESULTS Absolute HGS, 1RM and PT cut-off points were not adequate because they were associated with body size (r > 0.30). But it was corrected with muscle strength normalization according to body size-variables: HGS (n = 1); 1RM (n = 24) and PT (n = 24). The best cut-off points, with the highest area under the curve (AUC), were found after normalization for men: HGS/forearm circumference (1.33 kg/cm, AUC = 0.74), 1RM/triceps skinfold (4.22 kg/mm, AUC = 0.81), and PT/body mass*height0.43 (13.0 Nm/kg*m0.43, AUC = 0.94); and for women: HGS/forearm circumference (1.04 kg/cm, AUC = 0.70), 1RM/body mass (0.54 kg/kg, AUC = 0.76); and PT/body mass0.72 (3.14 Nm/kg0.72; AUC = 0.82). CONCLUSIONS Upper and lower limbs muscle weakness cut-off points standardized according to body size were proposed for older adults of both sexes. Normalization removes the effect of extreme body size on muscle strength (both sexes) and improves the accuracy to identify weakness at population level (for women, but not in men), reducing the risk of false-negative/positive cases.
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Affiliation(s)
- Pedro Pugliesi Abdalla
- College of Nursing at Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil.
- Faculty of Sports, University of Porto, Porto, Portugal.
| | - Lucimere Bohn
- Faculty of Sports, University of Porto, Porto, Portugal
- Faculty of Phycology, Education and Sport, University Lusófona of Porto, Porto, Portugal
| | | | | | | | | | | | | | - Jorge Mota
- Faculty of Sports, University of Porto, Porto, Portugal
| | - Dalmo Roberto Lopes Machado
- College of Nursing at Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil
- Faculty of Sports, University of Porto, Porto, Portugal
- School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil
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Fernandes SA, Rossoni C, Koch VW, Imbrizi M, Evangelista-Poderoso R, Pinto LP, Magro DO. Phase angle through electrical bioimpedance as a predictor of cellularity in inflammatory bowel disease. Artif Intell Gastroenterol 2021; 2:111-123. [DOI: 10.35712/aig.v2.i4.111] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 06/19/2021] [Accepted: 07/26/2021] [Indexed: 02/06/2023] Open
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da Silva JSM, Biesek S, Vojciechowski AS, Borba VZC, Rabito EI, Gomes ARS, Oliveira LA. Estimations of body fat by anthropometry or bioelectrical impedance differ from those by dual-energy X-ray absorptiometry in prefrail community-dwelling older women. Nutr Res 2021; 86:1-9. [PMID: 33444993 DOI: 10.1016/j.nutres.2020.12.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 11/27/2020] [Accepted: 12/01/2020] [Indexed: 11/19/2022]
Abstract
This study aimed to compare different methods to assess body fat (BF). We hypothesized that bioelectrical impedance analysis (BIA) or anthropometry may be used to estimate BF in prefrail older women, equivalently to dual-energy X-ray absorptiometry (DXA). The cross-sectional study included 72 prefrail community-dwelling older women (71.13 ± 4.65 years old; body mass index [BMI] 28.89 ± 4.23 kg/m2). The BF percentage (%BF) was estimated using anthropometry with the Durnin & Womersley (D&W) and Petroski's predictive equations, BIA with 2 Baumgartner predictive equations (BIA 1 and BIA 2), and DXA. All methods differed significantly from DXA according to assessments using repeated measures ANOVA and pairwise comparisons. The mean %BF varied between 39.99 ± 3.42% (D&W) and 43.93 ± 5.06% (DXA). Multiple regression analysis with age and BMI as covariates showed positive correlations (R2 = 0.91) in models with D&W equation and BMI, and with BIA 2 and BMI; however, BMI explained more of the model (71%) than the equations. Furthermore, Bland-Altman test revealed a proportional bias for D&W and for BIA 2, with underestimation of BF varying across different %BF values. Petroski's skinfold equation showed a positive correlation on linear regression (R2 = 0.74) and no proportional bias; however, Bland-Altman analysis revealed high limits of agreement (-13.6 to -0.05), thus compromising clinical application. To conclude, compared with DXA, all the equations tested showed a high disagreement and wide limits of agreement, restricting their use in clinical practice to estimate the BF in prefrail older women.
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Affiliation(s)
- Jessica S M da Silva
- Centro Universitário Autônomo do Brasil (UniBrasil), R. Konrad Adenauer, 442 - Tarumã, Curitiba - PR, 82820-540, Brazil
| | - Simone Biesek
- Federal University of Paraná, - Campus Centro Politécnico - Jardim das Américas - Curitiba, PR, Brazil.
| | - Audrin S Vojciechowski
- Federal University of Paraná, - Campus Centro Politécnico - Jardim das Américas - Curitiba, PR, Brazil
| | - Victoria Z C Borba
- Endocrine Center of UFPR, Federal University of Paraná, Rua Gen. Carneiro, 181, Prédio Central, 11 andar, sala 1136 - Alto da Glória - Curitiba - PR, Brazil
| | - Estela I Rabito
- Nutrition Department - Federal University of Paraná, Curitiba, PR, Brazil
| | - Anna Raquel S Gomes
- Federal University of Paraná, - Campus Centro Politécnico - Jardim das Américas - Curitiba, PR, Brazil; Prevention and Rehabilitation in Physiotherapy Department, Federal University of Paraná, Avenida Coronel Francisco H. dos Santos, 100, Centro Politécnico - Jardim das Américas, Curitiba - PR, 81531-980, Brazil
| | - Liana A Oliveira
- Centro Universitário Autônomo do Brasil (UniBrasil), R. Konrad Adenauer, 442 - Tarumã, Curitiba - PR, 82820-540, Brazil
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11
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González-Arellanes R, Urquidez-Romero R, Rodríguez-Tadeo A, Esparza-Romero J, Méndez-Estrada RO, Ramírez-López E, Robles-Sardin AE, Pacheco-Moreno BI, Alemán-Mateo H. Agreement between laboratory methods and the 4-compartment model in assessing fat mass in obese older Hispanic-American adults. Clin Nutr 2021; 40:3592-3600. [PMID: 33419614 DOI: 10.1016/j.clnu.2020.12.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 12/02/2020] [Accepted: 12/16/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND/OBJECTIVES Densitometry (Siri's and Brožek's equations), hydrometry (by the deuterium dilution technique), and dual-energy X-ray absorptiometry (DXA) are three methods for estimating body composition. However, because they are all based on certain assumptions, they may not be applicable to aged and obese subjects due to changes in their body composition. Hence, the validity of these "laboratory methods" could be affected in obese older people. The main aim was to assess the agreement between densitometry, hydrometry, and DXA with the 4-compartment (4C) model to estimate fat mass (FM) in obese older Hispanic-American adults. As secondary goals, we explored whether the bias in densitometry and hydrometry results could be improved by modifying the assumptions regarding fat-free mass (FFM) density and hydration factor (HF) values, respectively. In the case of DXA, we explored the factors that contribute to bias. SUBJECTS/METHODS This is a cross-sectional study based on a sample of 171 obese subjects aged ≥60 years from 3 regions of northern Mexico. Body composition was assessed by the 4C model as the reference method and by all three laboratory methods. Agreement of the latter with the 4C model was probed by Bland and Altman analysis, a paired sample t-test, and simple linear regression analyses. In addition, the mean FFM density estimated in this sample, and HF values (published previously) of 0.737 and 0.753 for obese older Hispanic-American men and women, respectively, were considered as ethnic- and gender-specific values. These values were used to modify the densitometric and hydrometric equations in order to improve their bias. Finally, we tested whether the hydration status and indirect markers of adiposity are contributing factors to the bias of DXA using multiple linear regression analysis. RESULTS Siri's equation overestimated FM by 0.57 kg (p < 0.01), while Brožek's equation, hydrometry, and DXA underestimated it by 1.24 kg, 0.89 kg, and 0.79 kg (p < 0.01), respectively, compared to the 4C model. The bias in the densitometry and hydrometry results was eliminated by substituting the ethnic- and gender-specific values into the equations. Finally, we found that hip circumference contributes to the bias in DXA. CONCLUSION The densitometry, hydrometry, and DXA methods are not interchangeable with the 4C model for assessing fat mass in obese, older Hispanic-American adults. The lack of agreement could indicate that the assumptions of each method do not apply to this population.
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Affiliation(s)
- Rogelio González-Arellanes
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición, Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria, C.P. 83304, Hermosillo, Sonora, México
| | - Rene Urquidez-Romero
- Universidad Autónoma de Ciudad Juárez, Instituto de Ciencias Biomédicas, Departamento de Ciencias de la Salud. Ave. Plutarco Elías Calles #1210, Col. Fovissste Chamizal, C.P. 32310, Ciudad Juárez, Chihuahua, México
| | - Alejandra Rodríguez-Tadeo
- Universidad Autónoma de Ciudad Juárez, Instituto de Ciencias Biomédicas, Departamento de Ciencias de la Salud. Ave. Plutarco Elías Calles #1210, Col. Fovissste Chamizal, C.P. 32310, Ciudad Juárez, Chihuahua, México
| | - Julián Esparza-Romero
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición, Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria, C.P. 83304, Hermosillo, Sonora, México
| | - Rosa Olivia Méndez-Estrada
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición, Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria, C.P. 83304, Hermosillo, Sonora, México
| | - Erik Ramírez-López
- Universidad Autónoma de Nuevo León, Facultad de Salud Pública y Nutrición. Ave. Dr. Eduardo Aguirre Pequeño #905, Col. Mitras Centro, C.P. 64460, Monterrey, Nuevo León, México
| | - Alma Elizabeth Robles-Sardin
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición, Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria, C.P. 83304, Hermosillo, Sonora, México
| | - Bertha Isabel Pacheco-Moreno
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición, Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria, C.P. 83304, Hermosillo, Sonora, México
| | - Heliodoro Alemán-Mateo
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición, Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria, C.P. 83304, Hermosillo, Sonora, México.
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12
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Fedewa MV, Nickerson BS, Tinsley GM, Esco MR, Dunbar EG, Boucher AG, DeLeon RM. Examining Race-Related Error in Two-Compartment Models of Body Composition Assessment: A Systematic Review and Meta-Analysis. J Clin Densitom 2021; 24:156-168. [PMID: 31810770 DOI: 10.1016/j.jocd.2019.10.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 10/15/2019] [Accepted: 10/16/2019] [Indexed: 12/23/2022]
Abstract
BACKGROUND The Brozek and Siri formulas estimate relative adiposity (%Fat) from total body density (Db) using a 2-compartment (2C) model. Racial/ethnic differences in Db have been reported, along with subsequent errors in estimated %Fat. OBJECTIVE The primary aim of this systematic review and meta-analysis was to examine potential race/ethnic differences in the accuracy of the Brozek and Siri 2C formulas using aggregate-level data. METHODS Peer-reviewed studies available in English that provided 2C and 4C estimates of %Fat were located using searches of the PubMed (n = 150), Scopus (n = 170), and Web of Science (n = 138) online electronic databases. Random-effects models were used to determine potential differences between racial groups using a mean ES and 95% confidence intervals. RESULTS The cumulative results from 78 effects indicate that the relative accuracy of the Brozek equation did not vary between racial groups (between group p = 0.053). In contrast, the Siri equation slightly underestimated %Fat for Asian adults (ESWMD = -1.40%, 95%CI -2.33% to -0.46%; p = 0.004) and Black adults (ESWMD = -1.10%, 95%CI -2.11% to -0.08%; p = 0.034), with no significant differences observed in Hispanic adults (ESWMD = 0.64%, 95%CI -1.02% to 2.31%; p = 0.448) and White adults (ESWMD = 0.08%, 95%CI -0.42% to 0.57%; p = 0.766) (between group p = 0.019). CONCLUSION Small, but statistically significant, error was found between racial groups when estimating %Fat using the 2C Siri equation when compared to 4C models. However, the observed error due to race/ethnicity appears to be of little clinical or practical significance when using either equation.
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Affiliation(s)
- Michael V Fedewa
- Department of Kinesiology, The University of Alabama, Tuscaloosa, AL, USA.
| | - Brett S Nickerson
- College of Nursing and Health Sciences, Texas A&M International University, Laredo, TX, USA
| | - Grant M Tinsley
- Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, USA
| | - Michael R Esco
- Department of Kinesiology, The University of Alabama, Tuscaloosa, AL, USA
| | - Elisabeth G Dunbar
- Department of Kinesiology, The University of Alabama, Tuscaloosa, AL, USA
| | - Abigail G Boucher
- Department of Kinesiology, The University of Alabama, Tuscaloosa, AL, USA
| | - Ricardo M DeLeon
- Department of Kinesiology, The University of Alabama, Tuscaloosa, AL, USA
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13
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Teixeira J, Marroni CA, Zubiaurre PR, Henz A, Faina L, Pinheiro LK, Mottin CC, Fernandes SA. Phase angle and non-alcoholic fatty liver disease before and after bariatric surgery. World J Hepatol 2020; 12:1004-1019. [PMID: 33312425 PMCID: PMC7701974 DOI: 10.4254/wjh.v12.i11.1004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 08/24/2020] [Accepted: 10/12/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Obesity is a global health problem that is continuing to increase in the young population. In Brazil, the frequency of obesity in 2018 was 19.8%. Several comorbidities are directly associated with obesity, such as non-alcoholic fatty liver disease (NAFLD), which is considered the most common liver disorder in Western countries and affects up to 46% of adults. Bariatric surgery is effective in treating obesity and can improve NAFLD; however, the effect of bariatric surgery on body composition, phase angle (PA), and improving NAFLD needs to be further studied. AIM To analyze the PA in the postoperative period of bariatric surgery and to correlate it with changes in body composition and liver disease. METHODS This study is a retrospective cohort study of the analysis of the medical records of patients undergoing bariatric surgery in a reference center of a teaching hospital in Porto Alegre over a 2-year period. Patients older than 18 years whose record contained all information relevant to the study were included. The data analyzed were body composition and PA through electrical bioimpedance and NAFLD through liver biopsy in the pre- and postoperative period. The level of significance adopted for the statistical analyses was 5%. RESULTS We evaluated 379 patients with preoperative data. Regarding PA, 169 patients were analyzed, and 33 patients had liver biopsy pre- and postoperatively with NAFLD information. In total, 79.4% were female, with a mean age of 39.1 ± 10.6 years. The average body mass index (BMI) was 45.9 ± 7.5 kg/m². The PA showed a mean of 5.8 ± 0.62° in the preoperative period and a significant reduction in the postoperative period. A postoperative reduction in body composition data (skeletal muscle mass, fat percentage, fat mass, body cell mass, BMI and visceral fat area) was shown as well. Regarding liver disease, all patients presented a reduction in the degrees and stages of liver disease in the postoperative period, and some had no degree of liver disease at all. CONCLUSION PA decreased after bariatric surgery, with a direct correlation with weight loss and changes in body composition. The decrease in PA was not correlated with the improvement in NAFLD.
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Affiliation(s)
- Joise Teixeira
- Department of Postgraduate Program in Medicine: Hepatology, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre 90050170, RS, Brazil
| | - Cláudio Augusto Marroni
- Department of Gastroenterology and Hepatology, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre 91760470, RS, Brazil
| | - Paula Rosales Zubiaurre
- Department of Center of Morbid Obesity, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre 90610000, RS, Brazil
| | - Ana Henz
- Department of Nutrition, Centro Universitário Metodista (IPA), Porto Alegre 90420060, RS, Brazil
| | - Lais Faina
- Department of Vascular Surgery, Hospital Federal dos Servidores do Estado do Rio de Janeiro, Rio de Janeiro 20221161, RJ, Brazil
| | - Lilian Kethelyn Pinheiro
- Department of Nutrition, Centro Universitário Metodista (IPA), Porto Alegre 90420060, RS, Brazil
| | - Claudio Cora Mottin
- Department of Obesity and Metabolic Syndrome Center, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre 90619-900, RS, Brazil
| | - Sabrina Alves Fernandes
- Department of Nutrition, Centro Universitário Metodista (IPA), Porto Alegre 90420060, RS, Brazil.
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Martins C, Gower BA, Hill JO, Hunter GR. Metabolic adaptation is not a major barrier to weight-loss maintenance. Am J Clin Nutr 2020; 112:558-565. [PMID: 32386226 PMCID: PMC7458773 DOI: 10.1093/ajcn/nqaa086] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 04/06/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The existence of metabolic adaptation, at the level of resting metabolic rate (RMR), remains highly controversial, likely due to lack of standardization of participants' energy balance. Moreover, its role as a driver of relapse remains unproven. OBJECTIVE The main aim was to determine if metabolic adaptation at the level of RMR was present after weight loss and at 1- and 2-y follow-up, with measurements taken under condition of weight stability. A secondary aim was to investigate race differences in metabolic adaptation after weight loss and if this phenomenon was associated with weight regain. METHODS A total of 171 overweight women [BMI (kg/m2): 28.3 ± 1.3; age: 35.2 ± 6.3 y; 88 whites and 83 blacks] enrolled in a weight-loss program to achieve a BMI <25, and were followed for 2 y. Body weight and composition (4-compartment model) and RMR (indirect calorimetry) were measured after 4 wk of weight stability at baseline, after weight loss and at 1 and 2 y. Metabolic adaptation was defined as a significantly lower measured compared with predicted RMR (from own regression model). RESULTS Participants lost, on average, 12 ± 2.6 kg and regained 52% ± 38% and 89% ± 54% of their initial weight lost at 1 and 2 y follow-up, respectively. Metabolic adaptation was found after weight loss (-54 ± 105 kcal/d; P < 0.001), with no difference between races and was positively correlated with fat-mass loss, but not with weight regain, overall. In a subset of women (n = 46) with data at all time points, metabolic adaptation was present after weight loss, but not at 1- or 2-y follow-up (-43 ± 119, P = 0.019; -18 ± 134, P = 0.380; and - 19 ± 166, P = 0.438 kcal/day respectively). CONCLUSIONS In overweight women, metabolic adaptation at the level of RMR is minimal when measurements are taken under conditions of weight stability and does not predict weight regain up to 2 years follow-up.The JULIET study is registered at https://clinicaltrials.gov/ct2/show/NCT00067873 as NCT00067873.
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Affiliation(s)
| | - Barbara A Gower
- Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
| | - James O Hill
- Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Gary R Hunter
- Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
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Zambone MA, Liberman S, Garcia MLB. Anthropometry, bioimpedance and densitometry: Comparative methods for lean mass body analysis in elderly outpatients from a tertiary hospital. Exp Gerontol 2020; 138:111020. [PMID: 32653450 DOI: 10.1016/j.exger.2020.111020] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 07/01/2020] [Accepted: 07/03/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVES To evaluate lean mass index (LMI) measured by bioimpedance (BIA) and anthropometry compared to densitometry (DXA) in elderly outpatients from a tertiary care hospital. METHODS Participants were over 60-year-old men, presenting no dementia or disability, from a tertiary geriatric ambulatory. LMI obtained by BIA, anthropometry and DXA were submitted to Baumgartner, Janssen and Delmonico calculations respectively. Sarcopenia was calculated as LMI by DXA and handgrip strength. Data were analyzed by T student's test, ANOVA for repeated measures and pos hoc Bonferroni test, Pearson's correlation test, regression equation and Bland Altman analysis, ROC curve and contingency table 2 × 2 for sensitivity, specificity and predictive values. RESULTS A total of 92 participants completed the study. Most of them were married, aged 72.9 ± 6.6, lived a sedentary lifestyle, presented multiple morbidities, and in use of polypharmacy. Appendicular lean mass was lower in sarcopenic participants when compared to that in nonsarcopenic ones (20.2 kg/m2 and 23 kg/m2 respectively, p < 0.0001). BIA sensitivity, specificity and correlation to DXA were 37%, 98% and r = 0.81 (p < 0.001), and for anthropometry 67%, 92% and r = 0.77 (p < 0.0001) respectively. Bland Altman's analysis showed congruence between methods and DXA (anthropometry: bias = -0,05 ± 0,66, limits of agreement (LoA) = -1.37 and 1.26; BIA: bias = 2,2; LoA = 0,7 and 3,7). CONCLUSION Aging and multiple chronic and degenerative morbidities affect LM in vulnerable elderly patients. Both anthropometry and BIA, are accurate to measure LMI independently in this population but Anthropometry presented better agreement to DXA than Bioimpedance and has the advantage of lower price, easier application and cheaper equipment to be applied.
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Affiliation(s)
- Maria Aquimara Zambone
- Division of Nutrition and Dietetics of Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
| | - Sami Liberman
- Geriatric Division of Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Maria Lucia Bueno Garcia
- Internal Medicine Department, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
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Late subadult ontogeny and adult aging of the human thorax reveals divergent growth trajectories between sexes. Sci Rep 2020; 10:10737. [PMID: 32612141 PMCID: PMC7329879 DOI: 10.1038/s41598-020-67664-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 06/09/2020] [Indexed: 11/30/2022] Open
Abstract
Sexual dimorphism is an important feature of adult thorax morphology, but when and how sex-related differences in the ribcage arise during ontogeny is poorly known. Previous research proposed that sex-related size differences in the nasal region arise during puberty. Therefore, we explore whether ribcage sexual dimorphism also arises at that time and whether this sexual dimorphism is maintained until old age. We measured 526 (semi)landmarks on 80 CT-based human ribcage reconstructions, on individuals ranging from 7 to 65 year-old. The 3D coordinates were submitted to the Procrustes superimposition and analyzed. Our results show that the trajectories of thorax size and shape between sexes diverge at around 12 years of age, and continue slightly diverging until old age. The differential ontogenetic trends cause adult male ribcages to become deeper, shorter, and wider than female. Our results are consistent with the evidence from the cranial respiratory system, with the development of sexual dimorphism probably related to changes in body composition during puberty combined with changes in the reproductive system.
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Küçükkubaş N, Aytar SH, Açıkada C, Hazır T. Bioelectric impedance analyses for young male athletes: A validation study. ISOKINET EXERC SCI 2020. [DOI: 10.3233/ies-185209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Nigar Küçükkubaş
- Sports Management Department, School of Physical Education and Sports, Erdoğan Akdağ Campus, Bozok University, Yozgat, Turkey
| | - Sinem Hazır Aytar
- Sports Sciences Department, Faculty of Health Science, Baskent University, Ankara, Turkey
| | - Caner Açıkada
- School of Physical Education and Sports, European University of Lefke, Lefke, North Cyprus, Mersin, Turkey
| | - Tahir Hazır
- Exercise and Sports Sciences Departmant, Faculty of Sport Sciences, Beytepe Campus, Hacettepe University, Ankara, Turkey
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González-Arellanes R, Urquidez-Romero R, Rodríguez-Tadeo A, Esparza-Romero J, Méndez-Estrada RO, Ramírez-López E, Robles-Sardin AE, Pacheco-Moreno BI, Alemán-Mateo H. High Hydration Factor in Older Hispanic-American Adults: Possible Implications for Accurate Body Composition Estimates. Nutrients 2019; 11:E2897. [PMID: 31795327 PMCID: PMC6950572 DOI: 10.3390/nu11122897] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 11/01/2019] [Accepted: 11/12/2019] [Indexed: 11/17/2022] Open
Abstract
Age- and obesity-related body composition changes could influence the hydration factor (HF) and, as a result, body composition estimates derived from hydrometry. The aim of the present study was to compare the HF in older Hispanic-American adults to some published values. This cross-sectional study included a sample of 412 subjects, men and women, aged ≥60 years from northern Mexico. HF values were calculated based on the ratio of total body water-using the deuterium dilution technique-to fat-free mass, derived from the four-compartment model. The mean HF value for the total sample (0.748 ± 0.034) was statistically (p ≤ 0.01) higher than the traditionally assumed value of 0.732 derived from chemical analysis, the "grand mean'' value of 0.725 derived from in vivo methods, and the 0.734 value calculated for older French adults via the three-compartment model. The HF of the older women did not differ across the fat mass index categories, but in men the obese group was lower than the normal and excess fat groups. The hydration factor calculated for the total sample of older Hispanic-American people is higher than the HF values reported in the literature. Therefore, the indiscriminate use of these assumed values could produce inaccurate body composition estimates in older Hispanic-American people.
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Affiliation(s)
- Rogelio González-Arellanes
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición. Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria C.P. 83304, Hermosillo, Sonora, Mexico; (R.G.-A.); (J.E.-R.); (R.-O.M.-E.); (B.-I.P.-M.)
| | - Rene Urquidez-Romero
- Universidad Autónoma de Ciudad Juárez. Instituto de Ciencias Biomédicas. Departamento de Ciencias de la Salud. Ave. Plutarco Elías Calles #1210, Col. Fovissste Chamizal C.P. 32310, Ciudad Juárez, Chihuahua, Mexico; (R.U.-R.); (A.R.-T.)
| | - Alejandra Rodríguez-Tadeo
- Universidad Autónoma de Ciudad Juárez. Instituto de Ciencias Biomédicas. Departamento de Ciencias de la Salud. Ave. Plutarco Elías Calles #1210, Col. Fovissste Chamizal C.P. 32310, Ciudad Juárez, Chihuahua, Mexico; (R.U.-R.); (A.R.-T.)
| | - Julián Esparza-Romero
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición. Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria C.P. 83304, Hermosillo, Sonora, Mexico; (R.G.-A.); (J.E.-R.); (R.-O.M.-E.); (B.-I.P.-M.)
| | - Rosa-Olivia Méndez-Estrada
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición. Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria C.P. 83304, Hermosillo, Sonora, Mexico; (R.G.-A.); (J.E.-R.); (R.-O.M.-E.); (B.-I.P.-M.)
| | - Erik Ramírez-López
- Universidad Autónoma de Nuevo León. Facultad de Salud Pública y Nutrición. Ave. Dr. Eduardo Aguirre Pequeño #905, Col. Mitras Centro C.P. 64460, Monterrey, Nuevo León, Mexico;
| | - Alma-Elizabeth Robles-Sardin
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición. Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria C.P. 83304, Hermosillo, Sonora, Mexico; (R.G.-A.); (J.E.-R.); (R.-O.M.-E.); (B.-I.P.-M.)
| | - Bertha-Isabel Pacheco-Moreno
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición. Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria C.P. 83304, Hermosillo, Sonora, Mexico; (R.G.-A.); (J.E.-R.); (R.-O.M.-E.); (B.-I.P.-M.)
| | - Heliodoro Alemán-Mateo
- Centro de Investigación en Alimentación y Desarrollo, A.C. Coordinación de Nutrición. Carretera Gustavo Enrique Astiazarán Rosas #46, Col. La Victoria C.P. 83304, Hermosillo, Sonora, Mexico; (R.G.-A.); (J.E.-R.); (R.-O.M.-E.); (B.-I.P.-M.)
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19
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Deurenberg-Yap M, Deurenberg P. Validity of Deuterium Oxide Dilution for the Measurement of Body Fat among Singaporeans. Food Nutr Bull 2018. [DOI: 10.1177/15648265020233s106] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Body fat percent (BF%) was measured in 108 adult Chinese, 76 Malays, and 107 Indians in Singapore by densitometry, deuterium oxide dilution (hydrometry), dual energy x-ray absorptiometry (DXA) and a chemical four-compartment model (BF%4c). The hydration of the fat-free mass (FFM) was calculated. Subjects ranged in age from 18 to 69 years and their body mass index ranged from 16 to 40 kg/m2. BF%4c for the various subgroups were: Chinese females (33.5 ± 7.5%), Chinese males (24.4 ± 6.1%), Malay females (37.8 ± 6.3%), Malay males (26.0 ± 7.6%), Indian females (38.2 ± 7.0%) and Indian males (28.1 ± 5.5%). Biases were found between BF%4c and BF% measured by 2-compartment models (hydrometry, densitometry, DXA), with systematic underestimation by DXA and densitometry. On a group level hydrometry had the lowest bias while DXA gave the highest bias. When validated against BF%4c, 2-compartment models were found to be unsuitable for accurate measures of body fat due to high biases at the individual level and the violation of assumptions of constant hydration of FFM and density FFM among the ethnic groups. On a group level the best 2-compartment model for measuring body fat was found to be hydrometry.
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Affiliation(s)
- Mabel Deurenberg-Yap
- Research and Information Management, Health Promotion Board in Singapore, National University of Singapore
| | - Paul Deurenberg
- University ‘Tor Vergata’, Department of Human Physiology in Rome, Italy
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20
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Borga M, West J, Bell JD, Harvey NC, Romu T, Heymsfield SB, Dahlqvist Leinhard O. Advanced body composition assessment: from body mass index to body composition profiling. J Investig Med 2018; 66:1-9. [PMID: 29581385 PMCID: PMC5992366 DOI: 10.1136/jim-2018-000722] [Citation(s) in RCA: 336] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/08/2018] [Indexed: 02/06/2023]
Abstract
This paper gives a brief overview of common non-invasive techniques for body composition analysis and a more in-depth review of a body composition assessment method based on fat-referenced quantitative MRI. Earlier published studies of this method are summarized, and a previously unpublished validation study, based on 4753 subjects from the UK Biobank imaging cohort, comparing the quantitative MRI method with dual-energy X-ray absorptiometry (DXA) is presented. For whole-body measurements of adipose tissue (AT) or fat and lean tissue (LT), DXA and quantitative MRIs show excellent agreement with linear correlation of 0.99 and 0.97, and coefficient of variation (CV) of 4.5 and 4.6 per cent for fat (computed from AT) and LT, respectively, but the agreement was found significantly lower for visceral adipose tissue, with a CV of >20 per cent. The additional ability of MRI to also measure muscle volumes, muscle AT infiltration and ectopic fat, in combination with rapid scanning protocols and efficient image analysis tools, makes quantitative MRI a powerful tool for advanced body composition assessment.
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Affiliation(s)
- Magnus Borga
- Department of Biomedical Engineering, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
- Advanced MR Analytics AB, Linköping, Sweden
| | - Janne West
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
- Advanced MR Analytics AB, Linköping, Sweden
- Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Jimmy D Bell
- Research Centre for Optimal Health, University of Westminster, London, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Thobias Romu
- Department of Biomedical Engineering, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
- Advanced MR Analytics AB, Linköping, Sweden
| | | | - Olof Dahlqvist Leinhard
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
- Advanced MR Analytics AB, Linköping, Sweden
- Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
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21
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Ellis AC, Hunter GR, Goss AM, Gower BA. Oral Supplementation with Beta-Hydroxy-Beta-Methylbutyrate, Arginine, and Glutamine Improves Lean Body Mass in Healthy Older Adults. J Diet Suppl 2018; 16:281-293. [PMID: 29672184 DOI: 10.1080/19390211.2018.1454568] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Oral intake of beta-hydroxy-beta-methylbutyrate (HMB), arginine, and glutamine may ameliorate muscle loss by stimulating protein synthesis and decreasing protein degradation while simultaneously decreasing inflammation. Previous studies provide evidence for improvement in body composition with dietary supplementation of these ingredients among patients with muscle-wasting diseases. The objectives of this study were to examine the effects of this amino acid mixture on lean body mass, muscle volume, and physical function among healthy older adults. Thirty-one community-dwelling men and women, aged 65-89 years, were randomized to either two oral doses of the amino acid supplement (totaling 3 g HMB, 14 g arginine, 14 g glutamine) or placebo daily for six months. At baseline and month six, lean body mass was measured by air displacement plethysmography, dual-energy X-ray absorptiometry (DXA), and four-compartment model. Muscle volume of quadriceps was quantified by magnetic resonance imaging (MRI), and participants performed a battery of tests to assess physical function. As compared to the placebo group, the treatment group exhibited improvement in a timed stair climb (p =.016) as well as significant increases in lean body mass by all methods of assessment (p <.05). Regional analysis by DXA revealed increased arm lean mass in the supplement group only (p =.035). However, no change was observed in MRI-derived quadriceps volume. Dietary supplementation with HMB, arginine, and glutamine improved total body lean mass among a small sample of healthy older adults. Further research is indicated to elucidate mechanisms of action and to determine whether supplementation may benefit frail elders. Registered under ClinicalTrials.gov identifier no. NCT01057082.
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Affiliation(s)
- Amy C Ellis
- a Department of Human Nutrition , University of Alabama , Tuscaloosa , AL , USA
| | - Gary R Hunter
- b Department of Nutrition Sciences , University of Alabama at Birmingham , Birmingham , AL , USA
| | - Amy M Goss
- b Department of Nutrition Sciences , University of Alabama at Birmingham , Birmingham , AL , USA
| | - Barbara A Gower
- b Department of Nutrition Sciences , University of Alabama at Birmingham , Birmingham , AL , USA
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22
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Nationally representative equations that include resistance and reactance for the prediction of percent body fat in Americans. Int J Obes (Lond) 2017; 41:1669-1675. [PMID: 28736441 PMCID: PMC5675766 DOI: 10.1038/ijo.2017.167] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Revised: 06/27/2017] [Accepted: 07/11/2017] [Indexed: 11/30/2022]
Abstract
Background/Objectives Resistance and reactance collected by bioelectrical impedance (BIA) can be used in equations to estimate percent body fat at relatively low cost and subject burden. To our knowledge no such equations have been developed in a nationally representative sample. Subjects/Methods Dual-energy X-ray absorptiometry (DXA) assessed percent body fat from the 1999–2004 NHANES was the criterion method for development of sex-specific percent body fat equations using up to 6,467 males or 4,888 females 8 to 49 years of age. Candidate variables were studied in multiple mathematical forms and interactions using the Least Absolute Shrinkage and Selection Operator (LASSO). Models were fit in 2/3′s of the data and validated in 1/3 of the data selected at random. Final coefficients, R2 values and root mean square error (RMSE) were estimated in the full data set. Results Models that included age, ethnicity, height, weight, BMI and BIA assessments (resistance, reactance and height2/resistance) had R2 values of 0.831 in men and 0.864 in women in the full data set. RMSE measurements were between 2 and 3 body fat percentage points, and all equations showed low bias across groups formed by age, race/ethnicity or body mass index category. The addition of triceps skinfold and waist circumference increased the R2 to 0.905 in males and 0.883 in females. Adding other anthropometrics (plus menses in females) had little impact on performance. Reactance and resistance alone (in multiple mathematical forms) performed poorly with R2 ~ 0.2. Conclusions Equations that included BIA assessments along with demographic and anthropometric variables provided percent body fat assessments that had high generalizability, strong predictive ability and low bias.
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23
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Anthropometrics and Body Composition. LIFESTYLE MEDICINE 2016. [DOI: 10.1007/978-3-319-24687-1_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
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24
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Song LLT, Venkataraman K, Gluckman P, Chong YS, Chee MWL, Khoo CM, Leow MK, Lee YS, Tai ES, Khoo EYH. Smaller size of high metabolic rate organs explains lower resting energy expenditure in Asian-Indian Than Chinese men. Int J Obes (Lond) 2015; 40:633-8. [PMID: 26568151 DOI: 10.1038/ijo.2015.233] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2015] [Revised: 07/28/2015] [Accepted: 08/10/2015] [Indexed: 11/09/2022]
Abstract
BACKGROUND In Singapore, the obesity prevalence is disproportionately higher in the Asian-Indians and Malays than the Chinese. Lower resting energy expenditure (REE) may be a contributory factor. OBJECTIVE We explored the association between ethnicity and REE in Chinese, Asian-Indian and Malay men living in Singapore and determined the influence of body composition, mass/volume of high metabolic rate organs, represented by brain volume and trunk fat-free mass (FFM), and physical activity on ethnic differences. DESIGN Two hundred and forty-four men from Singapore (n=100 Chinese, 70 Asian-Indians and 74 Malays), aged 21-40 years and body mass index of 18.5-30.0 kg m(-2), were recruited in this cross-sectional study. REE was assessed by indirect calorimetry and body composition by dual-energy X-ray absorptiometry. Brain volume was measured by magnetic resonance imaging. Physical activity was assessed by the Singapore Prospective Study Program Physical Activity Questionnaire. RESULTS REE was significantly lower in Asian-Indians compared with that in Chinese after adjusting for body weight. FFM (total, trunk and limb) and total fat mass were important predictors of REE across all ethnic groups. Brain volume was positively associated with REE only in Malays. Moderate and vigorous physical activity was positively associated with REE only in Asian-Indians and Malays. The difference in REE between Asian-Indians and Chinese was attenuated but remained statistically significant after adjustment for total FFM (59±20 kcal per day), fat mass (67±20 kcal per day) and brain volume (54±22 kcal per day). The association between REE and ethnicity was no longer statistically significant after total FFM was replaced by trunk FFM (which includes heart, liver, kidney and spleen) but not when it was replaced by limb FFM (skeletal muscle). CONCLUSIONS We have demonstrated a lower REE in Asian-Indians compared with Chinese who may contribute to the higher rates of obesity in the former. This difference could be accounted for by differences in metabolically active organs.
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Affiliation(s)
- L L T Song
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - K Venkataraman
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - P Gluckman
- Singapore Institute for Clinical Sciences, Singapore
| | - Y S Chong
- Department of Obstetrics and Gynaecology, National University of Singapore, Singapore
| | - M-W L Chee
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Graduate Medical School, Singapore
| | - C M Khoo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Duke-National University of Singapore Graduate Medical School, Singapore.,Division of Endocrinology, National University Health System, Singapore
| | - M-Ks Leow
- Office of Clinical Sciences, Duke-National University of Singapore Graduate Medical School, Singapore
| | - Y S Lee
- Singapore Institute for Clinical Sciences, Singapore.,Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Division of Paediatric Endocrinology and Diabetes, Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - E S Tai
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore.,Duke-National University of Singapore Graduate Medical School, Singapore.,Division of Endocrinology, National University Health System, Singapore
| | - E Y H Khoo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Division of Endocrinology, National University Health System, Singapore
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25
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Huang AC, Chen YY, Chuang CL, Chiang LM, Lu HK, Lin HC, Chen KT, Hsiao AC, Hsieh KC. Cross-mode bioelectrical impedance analysis in a standing position for estimating fat-free mass validated against dual-energy x-ray absorptiometry. Nutr Res 2015; 35:982-989. [PMID: 26409342 DOI: 10.1016/j.nutres.2015.08.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2015] [Revised: 08/26/2015] [Accepted: 08/27/2015] [Indexed: 01/10/2023]
Abstract
Bioelectrical impedance analysis (BIA) is commonly used to assess body composition. Cross-mode (left hand to right foot, Z(CR)) BIA presumably uses the longest current path in the human body, which may generate better results when estimating fat-free mass (FFM). We compared the cross-mode with the hand-to-foot mode (right hand to right foot, Z(HF)) using dual-energy x-ray absorptiometry (DXA) as the reference. We hypothesized that when comparing anthropometric parameters using stepwise regression analysis, the impedance value from the cross-mode analysis would have better prediction accuracy than that from the hand-to-foot mode analysis. We studied 264 men and 232 women (mean ages, 32.19 ± 14.95 and 34.51 ± 14.96 years, respectively; mean body mass indexes, 24.54 ± 3.74 and 23.44 ± 4.61 kg/m2, respectively). The DXA-measured FFMs in men and women were 58.85 ± 8.15 and 40.48 ± 5.64 kg, respectively. Multiple stepwise linear regression analyses were performed to construct sex-specific FFM equations. The correlations of FFM measured by DXA vs. FFM from hand-to-foot mode and estimated FFM by cross-mode were 0.85 and 0.86 in women, with standard errors of estimate of 2.96 and 2.92 kg, respectively. In men, they were 0.91 and 0.91, with standard errors of the estimates of 3.34 and 3.48 kg, respectively. Bland-Altman plots showed limits of agreement of -6.78 to 6.78 kg for FFM from hand-to-foot mode and -7.06 to 7.06 kg for estimated FFM by cross-mode for men, and -5.91 to 5.91 and -5.84 to 5.84 kg, respectively, for women. Paired t tests showed no significant differences between the 2 modes (P > .05). Hence, cross-mode BIA appears to represent a reasonable and practical application for assessing FFM in Chinese populations.
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Affiliation(s)
- Ai-Chun Huang
- Department of Leisure, Recreation, and Tourism Management, Tzu-Hui Institute of Technology, Pingtung, Taiwan
| | - Yu-Yawn Chen
- Department of Physical Education, National Taiwan University of Sport, Taichung, Taiwan
| | | | - Li-Ming Chiang
- College of Health Science, Movement Activities and Lifetime Fitness, East Stroudsburg University of Pennsylvania, East Stroudsburg, PA, USA
| | - Hsueh-Kuan Lu
- Sport Science Research Center, National Taiwan University of Sport, Taichung, Taiwan
| | - Hung-Chi Lin
- Division of Gastroenterology and Hepatology, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Kuen-Tsann Chen
- Department of Applied Mathematics, National Chung Hsing University, Taichung, Taiwan
| | - An-Chi Hsiao
- Department of Radiology, Jen-Ai Hospital, Taichung, Taiwan
| | - Kuen-Chang Hsieh
- Office of Physical Education and Sport, National Chung Hsing University, Taichung, Taiwan; Research Center, Charder Electronic Co, Ltd, Taichung, Taiwan.
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Choi A, Kim JY, Jo S, Jee JH, Heymsfield SB, Bhagat YA, Kim I, Cho J. Smartphone-Based Bioelectrical Impedance Analysis Devices for Daily Obesity Management. SENSORS 2015; 15:22151-66. [PMID: 26364636 PMCID: PMC4610453 DOI: 10.3390/s150922151] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2015] [Revised: 08/26/2015] [Accepted: 08/27/2015] [Indexed: 01/10/2023]
Abstract
Current bioelectric impedance analysis (BIA) systems are often large, cumbersome devices which require strict electrode placement on the user, thus inhibiting mobile capabilities. In this work, we developed a handheld BIA device that measures impedance from multiple frequencies (5 kHz~200 kHz) with four contact electrodes and evaluated the BIA device against standard body composition analysis systems: a dual-energy X-ray absorptiometry (DXA) system (GE Lunar Prodigy, GE Healthcare, Buckinghamshire, UK) and a whole-body BIA system (InBody S10, InBody, Co. Ltd, Seoul, Korea). In the study, 568 healthy participants, varying widely in body mass index, age, and gender, were recruited at two research centers: the Samsung Medical Center (SMC) in South Korea and the Pennington Biomedical Research Center (PBRC) in the United States. From the measured impedance data, we analyzed individual body fat and skeletal muscle mass by applying linear regression analysis against target reference data. Results indicated strong correlations of impedance measurements between the prototype pathways and corresponding InBody S10 electrical pathways (R = 0.93, p < 0.0001). Additionally, body fat estimates from DXA did not yield significant differences (p > 0.728 (paired t-test), DXA mean body fat 29.45 ± 10.77 kg, estimated body fat 29.52 ± 12.53 kg). Thus, this portable BIA system shows a promising ability to estimate an individual's body composition that is comparable to large stationary BIA systems.
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Affiliation(s)
- Ahyoung Choi
- DMC R&D Center, Samsung Electronics, Suwon 16677, Gyeonggi, Korea.
| | | | - Seongwook Jo
- DMC R&D Center, Samsung Electronics, Suwon 16677, Gyeonggi, Korea.
| | - Jae Hwan Jee
- Center for Health Promotion, Samsung Medical Center, Seoul 06351, Korea.
| | | | | | - Insoo Kim
- Samsung Research America, Richardson, TX 75082, USA.
| | - Jaegeol Cho
- DMC R&D Center, Samsung Electronics, Suwon 16677, Gyeonggi, Korea.
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Heymsfield SB, Ebbeling CB, Zheng J, Pietrobelli A, Strauss BJ, Silva AM, Ludwig DS. Multi-component molecular-level body composition reference methods: evolving concepts and future directions. Obes Rev 2015; 16:282-294. [PMID: 25645009 PMCID: PMC4464774 DOI: 10.1111/obr.12261] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2014] [Revised: 11/23/2014] [Accepted: 12/05/2014] [Indexed: 01/08/2023]
Abstract
Excess adiposity is the main phenotypic feature that defines human obesity and that plays a pathophysiological role in most chronic diseases. Measuring the amount of fat mass present is thus a central aspect of studying obesity at the individual and population levels. Nevertheless, a consensus is lacking among investigators on a single accepted 'reference' approach for quantifying fat mass in vivo. While the research community generally relies on the multi-component body volume class of 'reference' models for quantifying fat mass, no definable guide discerns among different applied equations for partitioning the four (fat, water, protein and mineral mass) or more quantified components, standardizes 'adjustment' or measurement system approaches for model-required labelled water dilution volumes and bone mineral mass estimates, or firmly establishes the body temperature at which model physical properties are assumed. The resulting differing reference strategies for quantifying body composition in vivo leads to small, but under some circumstances, important differences in the amount of measured body fat. Recent technological advances highlight opportunities to expand model applications to new subject groups and measured components such as total body protein. The current report reviews the historical evolution of multi-component body volume-based methods in the context of prevailing uncertainties and future potential.
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Affiliation(s)
| | - Cara B. Ebbeling
- New Balance Foundation Obesity Prevention Center, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Jolene Zheng
- Pennington Biomedical Research Center, LSU System, Baton Rouge, LA, USA
| | | | - Boyd J. Strauss
- The Mark Holland Metabolic Unit, Salford Royal NHS Foundation Trust, Salford, Greater Manchester, United Kingdom
| | - Analiza M. Silva
- Exercise and Health Laboratory, CIPER, Fac Motricidade Humana, Univ Tecn Lisboa, Cruz-Quebrada, Portugal
| | - David S. Ludwig
- New Balance Foundation Obesity Prevention Center, Boston Children's Hospital, Boston, Massachusetts, USA
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28
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Fuster-Parra P, Bennasar-Veny M, Tauler P, Yañez A, López-González AA, Aguiló A. A comparison between multiple regression models and CUN-BAE equation to predict body fat in adults. PLoS One 2015; 10:e0122291. [PMID: 25821960 PMCID: PMC4379185 DOI: 10.1371/journal.pone.0122291] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Accepted: 02/11/2015] [Indexed: 11/19/2022] Open
Abstract
Background Because the accurate measure of body fat (BF) is difficult, several prediction equations have been proposed. The aim of this study was to compare different multiple regression models to predict BF, including the recently reported CUN-BAE equation. Methods Multi regression models using body mass index (BMI) and body adiposity index (BAI) as predictors of BF will be compared. These models will be also compared with the CUN-BAE equation. For all the analysis a sample including all the participants and another one including only the overweight and obese subjects will be considered. The BF reference measure was made using Bioelectrical Impedance Analysis. Results The simplest models including only BMI or BAI as independent variables showed that BAI is a better predictor of BF. However, adding the variable sex to both models made BMI a better predictor than the BAI. For both the whole group of participants and the group of overweight and obese participants, using simple models (BMI, age and sex as variables) allowed obtaining similar correlations with BF as when the more complex CUN-BAE was used (ρ = 0:87 vs. ρ = 0:86 for the whole sample and ρ = 0:88 vs. ρ = 0:89 for overweight and obese subjects, being the second value the one for CUN-BAE). Conclusions There are simpler models than CUN-BAE equation that fits BF as well as CUN-BAE does. Therefore, it could be considered that CUN-BAE overfits. Using a simple linear regression model, the BAI, as the only variable, predicts BF better than BMI. However, when the sex variable is introduced, BMI becomes the indicator of choice to predict BF.
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Affiliation(s)
- Pilar Fuster-Parra
- Department of Mathematics and Computer Science, Universitat Illes Balears, Palma de Mallorca, Baleares, Spain
- Research Group on Evidence, Lifestyles & Health. Research Institute on Health Sciences (IUNICS). Universitat Illes Balears, Palma de Mallorca, Baleares, Spain
- * E-mail:
| | - Miquel Bennasar-Veny
- Research Group on Evidence, Lifestyles & Health. Research Institute on Health Sciences (IUNICS). Universitat Illes Balears, Palma de Mallorca, Baleares, Spain
| | - Pedro Tauler
- Research Group on Evidence, Lifestyles & Health. Research Institute on Health Sciences (IUNICS). Universitat Illes Balears, Palma de Mallorca, Baleares, Spain
| | - Aina Yañez
- Instituto de Investigación Sanitaria de Palma (IdISPa), University Hospital Son Espases, Palma de Mallorca, Spain
| | - Angel A. López-González
- Prevention of Occupational Risks in Health Services, GESMA, Balearic Islands Health Service, Hospital de Manacor, Manacor, Spain
| | - Antoni Aguiló
- Research Group on Evidence, Lifestyles & Health. Research Institute on Health Sciences (IUNICS). Universitat Illes Balears, Palma de Mallorca, Baleares, Spain
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Fields DA, Gunatilake R, Kalaitzoglou E. Air displacement plethysmography: cradle to grave. Nutr Clin Pract 2015; 30:219-26. [PMID: 25761768 DOI: 10.1177/0884533615572443] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Differences in body composition are associated with increased disease risk in various stages of life. Despite numerous available methods in assessing body composition (air displacement plethysmography, dual-energy X-ray absorptiometry, bioelectrical impedance, hydrometry, and magnetic resonance imaging), due to innate technical limitations, the ability for one singular method to track body composition over the life span (ie, infancy to adulthood) is challenging and imperfect. The primary goal of this review is to determine if there are body composition methods that can accurately track body composition from infancy into adulthood. After careful consideration and taking into account the best available scientific evidence, we feel air displacement plethysmography is the best instrument at this time for tracking body composition, starting in infancy and forward into adulthood, partly because it is the only "practical" clinical tool currently available for use during infancy.
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Affiliation(s)
- David A Fields
- Department of Pediatrics, Section of Endocrinology and Diabetes, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Ravindu Gunatilake
- Department of Obstetrics and Gynecology, Section of Maternal Fetal Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Evangelia Kalaitzoglou
- Department of Pediatrics, Section of Endocrinology and Diabetes, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
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Gonçalves BL, Guimarães FS, Souza MLLD, Ferreira ADS, Mainenti MRM. Association among body composition, muscle performance and functional autonomy in older adults. FISIOTERAPIA EM MOVIMENTO 2015. [DOI: 10.1590/0103-5150.028.001.ao05] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Introduction Decrease in muscle mass and increase in body fat are important changes that occur with aging. Strength decline and worse resistance to fatigue can lead to a decreased functional autonomy of the elderly. Objective The present study aimed to verify the existence of a relationship between body composition, muscle strength, lower limbs fatigue and functional autonomy in active elderly women. Materials and methods The sample consisted of 29 elderly women with a mean age of 68.2 (± 7.3) years. Body composition was analyzed by total and segmental bioelectrical impedance. Muscle fatigue was assessed using electromyography, through the analysis of median frequency and root mean square during a 60-second sustained isometric knee extension contraction, at 50% of the maximum voluntary isometric contraction. Functional autonomy was assessed by using the Latin American Development Group for Maturity (GDLAM) protocol. Results There were significant correlations between height and strength (r = 0.49), age and lean body mass (r = -0.42), body fat percentage (BF%) and GDLAM tests (r = 0.39-0.41). The lean body mass was positively correlated with strength (r = 0.55), but not with resistance to fatigue. Conclusion The lean body mass of the analyzed sample was found to be associated with the performance on the maximum strength test, but not with the performance on the resistance to fatigue test. This shows that these two parameters (strength and fatigue) are independent of one another. Elderly women with higher BF% showed worse performance on the GDLAM tests. This evidences that individuals with high adiposity levels tend to have a more limited functional autonomy.
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Affiliation(s)
| | | | | | - Arthur de Sá Ferreira
- Centro Universitário Augusto Motta, Brazil; Universidade Salgado Filho de Oliveira, Brazil
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31
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Rossi AP, Harris TB, Fantin F, Armellini F, Zamboni M. The multidomain mobility lab in older persons: from bench to bedside. The assessment of body composition in older persons at risk of mobility limitations. Curr Pharm Des 2015; 20:3245-55. [PMID: 24050162 DOI: 10.2174/13816128113196660694] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2013] [Accepted: 08/27/2013] [Indexed: 12/25/2022]
Abstract
With body composition it is possible to divide human body in compartments on the basis of different physical properties. The two level body composition model subdividing the whole body in fat mass and fat free mass is the most used in epidemiological and clinical studies in the elderly. Body composition techniques may be used to study ageing process. Changes in body composition occur as part of the normal ageing process and are associated with important effects on health and function. It has been shown that body composition changes with aging, with an increase in fat mass and a decrease in muscle mass, have important consequences on health and physical disability. Moreover body fat distribution changes with adverse metabolic profiles and increased cardiovascular risk. The purpose of this review is to describe the basic principles and techniques for fat free mass and fat mass evaluation, highlighting the advantages and limitations of different available body composition methods.
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Affiliation(s)
| | | | | | | | - Mauro Zamboni
- Cattedra di Geriatria, Università di Verona, Ospedale Maggiore, Piazzale Stefani 1, 37126 Verona, Italy.
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Abstract
Os métodos de avaliação da composição corporal em obesos têm sido amplamente discutidos, uma vez que nesses indivíduos a avaliação é dificultada devido às limitações dos equipamentos e características dos métodos utilizados. Esta sessão temática tem o objetivo de esclarecer as características, vantagens e limitações dos métodos de avaliação da composição corporal em adultos obesos. A quantificação de gordura corporal e mas-sa livre de gordura, assim como a avaliação da perda de massa muscular e de massa óssea em obesos são temas de grande interesse científico, uma vez que são utilizados para diagnosticar a obesidade osteosarcopênica. A avaliação da composição corporal de obesos pelo modelo de múltiplos compartimentos é padrão-ouro na prática científica. Por outro lado, o método de absorciometria radiológica de feixe duplo é considerado o padrão de referência em pesquisas e na prática clínica. Estudos indicam que a ressonância magnética e a tomografia computadorizada, em alguns casos, são fortemente correlacionadas com a absorciometria radiológica de feixe duplo. Os demais métodos apresentam limitações em avaliar a composição corporal, bem como suas modificações durante a redução ponderal em indivíduos obesos.
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Body composition analysis in older adults with dementia. Anthropometry and bioelectrical impedance analysis: a critical review. Eur J Clin Nutr 2014; 68:1228-33. [DOI: 10.1038/ejcn.2014.168] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2014] [Accepted: 07/17/2014] [Indexed: 02/02/2023]
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Croci I, Hickman IJ, Wood RE, Borrani F, Macdonald GA, Byrne NM. Fat oxidation over a range of exercise intensities: fitness versus fatness. Appl Physiol Nutr Metab 2014; 39:1352-9. [PMID: 25356842 DOI: 10.1139/apnm-2014-0144] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Maximal fat oxidation (MFO), as well as the exercise intensity at which it occurs (Fatmax), have been reported as lower in sedentary overweight individuals but have not been studied in trained overweight individuals. The aim of this study was to compare Fatmax and MFO in lean and overweight recreationally trained males matched for cardiorespiratory fitness (CRF) and to study the relationships between these variables, anthropometric characteristics, and CRF. Twelve recreationally trained overweight (high fatness (HiFat) group, 30.0% ± 5.3% body fat) and 12 lean males (low fatness (LoFat), 17.2% ± 5.7% body fat) matched for CRF (maximal oxygen consumption (V̇O2max) 39.0 ± 5.5 vs. 41.4 ± 7.6 mL·kg(-1)·min(-1), p = 0.31) and age (p = 0.93) performed a graded exercise test on a cycle ergometer. V̇O2max and fat and carbohydrate oxidation rates were determined using indirect calorimetry; Fatmax and MFO were determined with a mathematical model (SIN); and % body fat was assessed by air displacement plethysmography. MFO (0.38 ± 0.19 vs. 0.42 ± 0.16 g·min(-1), p = 0.58), Fatmax (46.7% ± 8.6% vs. 45.4% ± 7.2% V̇O2max, p = 0.71), and fat oxidation rates over a wide range of exercise intensities were not significantly different (p > 0.05) between HiFat and LoFat groups. In the overall cohort (n = 24), MFO and Fatmax were correlated with V̇O2max (r = 0.46, p = 0.02; r = 0.61, p = 0.002) but not with % body fat or body mass index (p > 0.05). Fat oxidation during exercise was similar in recreationally trained overweight and lean males matched for CRF. Consistently, substrate oxidation rates during exercise were not related to adiposity (% body fat) but were related to CRF. The benefits of high CRF independent of body weight and % body fat should be further highlighted in the management of obesity.
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Affiliation(s)
- Ilaria Croci
- a The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, St Lucia QLD 4072, Australia
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35
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DEMERATH ELLENW, FIELDS DAVIDA. Body composition assessment in the infant. Am J Hum Biol 2014; 26:291-304. [PMID: 24424686 PMCID: PMC5761669 DOI: 10.1002/ajhb.22500] [Citation(s) in RCA: 115] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2013] [Revised: 12/04/2013] [Accepted: 12/09/2013] [Indexed: 01/22/2023] Open
Abstract
Body composition assessment provides a sharper picture of the human biological response to genetic and environmental influences than measures of body size and weight. Infant body composition is particularly important as a marker of fetal adaptation and developmental programming of subsequent health and disease, but until recently, the range of options for measuring infant body composition was relatively narrow. The purpose of this Toolkit: Methods in Human Biology review is to provide a comprehensive overview of methods of body composition methods currently used in infants 0 to 2 years of age, including anthropometric prediction equations, air displacement plethysmography (ADP), dual energy X-ray absorptiometry (DXA), bioelectrical impedance analysis (BIA), isotope dilution, and magnetic resonance imaging (MRI). Information on the reliability, validity, and accuracy of the methods is provided. Unique aspects of infant physiology and behavior create challenges for body composition assessment, but this review provides guidance on suitable testing approaches and environments that may aid researchers in this important area of investigation.
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Affiliation(s)
- ELLEN W. DEMERATH
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota 55454
| | - DAVID A. FIELDS
- University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73104
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36
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Fosbøl MØ, Zerahn B. Contemporary methods of body composition measurement. Clin Physiol Funct Imaging 2014; 35:81-97. [DOI: 10.1111/cpf.12152] [Citation(s) in RCA: 107] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2013] [Accepted: 03/18/2014] [Indexed: 12/29/2022]
Affiliation(s)
- Marie Ø. Fosbøl
- Department of Clinical Physiology and Nuclear Medicine; Center of Functional and Diagnostic Imaging and Research; University of Copenhagen; Hvidovre Hospital; Hvidovre Denmark
| | - Bo Zerahn
- Department of Clinical Physiology and Nuclear Medicine; University of Copenhagen; Herlev Hospital; Herlev Denmark
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Lara J, Johnstone AM, Wells J, Jebb S, Siervo M. Accuracy of aggregate 2- and 3-component models of body composition relative to 4-component for the measurement of changes in fat mass during weight loss in overweight and obese subjects. Appl Physiol Nutr Metab 2014; 39:871-9. [PMID: 24833123 DOI: 10.1139/apnm-2013-0424] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
The 4-component (4-C) model is the reference method to measure fat mass (FM). Simpler 2-component (2-C) models are widely used to assess FM. We hypothesised that an aggregate 2-C model may improve accuracy of FM assessment during weight loss (WL). One hundred and six overweight and obese men and women were enrolled in different WL programs (fasting, very low energy diet, low energy diet). Body density, bone mineral content, and total body water were measured. FM was calculated using 2-C, 3-C, and 4-C models. Aggregate equations for 2-C, 3-C, and 4-C models were calculated, with the aggregate 4-C model assumed as the reference method. The aggregate approach postulates that the average of the individual estimates obtained from each model is more accurate than the best single measurement. The average WL was -7.5 kg. The agreement between 3-C and 4-C models for FM change was excellent (R(2) = 0.99). The aggregate 2-C equation was more accurate than individual 2-C estimates in measuring changes in FM. The aggregate model was characterised by a lower measurement error at baseline and post-WL. The relationship between the aggregate 3-C and 4-C component models was highly linear (R(2) = 0.99), whereas a lower linearity was found for the aggregate 2-C and 4-C model (R(2) = 0.72). The aggregate 2-C model is characterised by a greater accuracy than commonly applied 2-C equations for the measurement of FM during WL in overweight and obese men and women.
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Affiliation(s)
- Jose Lara
- a Human Nutrition Research Centre, Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle on Tyne NE4 5PL, UK
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38
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Smale KB, McIntosh EI, Vallis LA. Comparison of Bioelectrical Impedance Analysis and Air Displacement Plethysmography in Community-Dwelling Older Adults. J Appl Gerontol 2013; 35:474-88. [DOI: 10.1177/0733464813515088] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2012] [Accepted: 11/04/2013] [Indexed: 01/10/2023] Open
Abstract
Clinicians and researchers use body composition measurements to identify individuals who may be at risk of adverse health complications. This study compared two commonly used two-compartmental anthropometric models (bioelectrical impedance analysis [BIA] and air displacement plethysmography [ADP]) to determine whether these two cost-effective methods would provide similar fat free mass index (FFMI) values in a mixed and sex-separated sample population of healthy older adults. Community-dwelling older adults ( N = 37, 18 men) aged 74.5 ± 5.2 years participated. FFMIBIA was correlated with FFMIADP ( r = .916); however, these correlations were markedly reduced when the population was split by sex ( r < .60). The level of agreement between the difference values (FFMIBIA – FFMIADP) fluctuated ± 2.1 kg/m2 (illustrated via Bland-Altman plots), but these differences were not statistically different from 0. Findings from the current work suggest that clinicians must be cautious when using portable devices such as BIA to assess FFMI in an older adult population.
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39
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Kim JH, Choi SH, Lim S, Kim KW, Lim JY, Cho NH, Park KS, Jang HC. Assessment of appendicular skeletal muscle mass by bioimpedance in older community-dwelling Korean adults. Arch Gerontol Geriatr 2013; 58:303-7. [PMID: 24309033 DOI: 10.1016/j.archger.2013.11.002] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2013] [Revised: 11/07/2013] [Accepted: 11/10/2013] [Indexed: 02/09/2023]
Abstract
It is crucial to investigate age-related body composition changes in geriatric medicine. Bioelectrical impedance analysis (BIA) is easy to perform, non-invasive, relatively inexpensive, and portable. However, the accuracy of measurement by BIA is questionable. To develop and cross-validate the predictive equation for estimated appendicular skeletal muscle mass (ASM) using BIA in older community-dwelling Korean adults, we include two cohorts: study participants aged 65-80 years in the Ansung cohort for the Korean Health and Genome Study (men, n=285; women, n=435) used as equation-generating group, and Korean Longitudinal Study of Health Aging (KLoSHA) as cross-validation group (men, n=202; women, n=208). Dual energy X-ray absorptiometry (DXA) and BIA were performed in both cohorts. Using multiple linear regression analysis, we drew a predictive equation for DXA-measured ASM by BIA resistance. From DXA and BIA measurements in the Ansung cohort, we generated the estimated equation ASM (kg)=[(Ht(2)/R×0.104)+(age×-0.050)+(gender×2.954)+(weight×0.055)]+5.663 where Ht is height in centimeters; R is BIA resistance in 250Ω; for gender, men=1 and women=0; and age is in years. We validated this equation in the KLoSHA. The r(2) of the estimated ASM was 0.890. This BIA equation provides valid estimates of ASM in older Korean adults.
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Affiliation(s)
- Jung Hee Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sung Hee Choi
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Ki Woong Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Jae Young Lim
- Department of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Nam H Cho
- Department of Preventive Medicine, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hak Chul Jang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
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Silva AM, Fields DA, Sardinha LB. A PRISMA-driven systematic review of predictive equations for assessing fat and fat-free mass in healthy children and adolescents using multicomponent molecular models as the reference method. J Obes 2013; 2013:148696. [PMID: 23844282 PMCID: PMC3703366 DOI: 10.1155/2013/148696] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2013] [Revised: 04/09/2013] [Accepted: 04/30/2013] [Indexed: 02/07/2023] Open
Abstract
Simple methods to assess both fat (FM) and fat-free mass (FFM) are required in paediatric populations. Several bioelectrical impedance instruments (BIAs) and anthropometric equations have been developed using different criterion methods (multicomponent models) for assessing FM and FFM. Through childhood, FFM density increases while FFM hydration decreases until reaching adult values. Therefore, multicomponent models should be used as the gold standard method for developing simple techniques because two-compartment models (2C model) rely on the assumed adult values of FFM density and hydration (1.1 g/cm(3) and 73.2%, respectively). This study will review BIA and/or anthropometric-based equations for assessing body composition in paediatric populations. We reviewed English language articles from MEDLINE (1985-2012) with the selection of predictive equations developed for assessing FM and FFM using three-compartment (3C) and 4C models as criterion. Search terms included children, adolescent, childhood, adolescence, 4C model, 3C model, multicomponent model, equation, prediction, DXA, BIA, resistance, anthropometry, skinfold, FM, and FFM. A total of 14 studies (33 equations) were selected with the majority developed using DXA as the criterion method with a limited number of studies providing cross-validation results. Overall, the selected equations are useful for epidemiological studies, but some concerns still arise on an individual basis.
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Affiliation(s)
- Analiza M Silva
- Exercise and Health Laboratory, CIPER, Fac Motricidade Humana, Univ Tecn Lisboa, 1499-002 Cruz Quebrada, Portugal.
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41
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Impact of body-composition methodology on the composition of weight loss and weight gain. Eur J Clin Nutr 2013; 67:446-54. [DOI: 10.1038/ejcn.2013.35] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
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Hsieh KC, Chen YJ, Lu HK, Lee LC, Huang YC, Chen YY. The novel application of artificial neural network on bioelectrical impedance analysis to assess the body composition in elderly. Nutr J 2013; 12:21. [PMID: 23388042 PMCID: PMC3662169 DOI: 10.1186/1475-2891-12-21] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2012] [Accepted: 01/22/2013] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND This study aims to improve accuracy of Bioelectrical Impedance Analysis (BIA) prediction equations for estimating fat free mass (FFM) of the elderly by using non-linear Back Propagation Artificial Neural Network (BP-ANN) model and to compare the predictive accuracy with the linear regression model by using energy dual X-ray absorptiometry (DXA) as reference method. METHODS A total of 88 Taiwanese elderly adults were recruited in this study as subjects. Linear regression equations and BP-ANN prediction equation were developed using impedances and other anthropometrics for predicting the reference FFM measured by DXA (FFMDXA) in 36 male and 26 female Taiwanese elderly adults. The FFM estimated by BIA prediction equations using traditional linear regression model (FFMLR) and BP-ANN model (FFMANN) were compared to the FFMDXA. The measuring results of an additional 26 elderly adults were used to validate than accuracy of the predictive models. RESULTS The results showed the significant predictors were impedance, gender, age, height and weight in developed FFMLR linear model (LR) for predicting FFM (coefficient of determination, r2 = 0.940; standard error of estimate (SEE) = 2.729 kg; root mean square error (RMSE) = 2.571kg, P < 0.001). The above predictors were set as the variables of the input layer by using five neurons in the BP-ANN model (r2 = 0.987 with a SD = 1.192 kg and relatively lower RMSE = 1.183 kg), which had greater (improved) accuracy for estimating FFM when compared with linear model. The results showed a better agreement existed between FFMANN and FFMDXA than that between FFMLR and FFMDXA. CONCLUSION When compared the performance of developed prediction equations for estimating reference FFMDXA, the linear model has lower r2 with a larger SD in predictive results than that of BP-ANN model, which indicated ANN model is more suitable for estimating FFM.
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Affiliation(s)
| | - Yu-Jen Chen
- Department of Radiation Oncology, Mackay Memorial Hospital, Taipei, Taiwan
| | - Hsueh-Kuan Lu
- Sport Science Research Center, National Taiwan University of Physical Education and Sport, Taichung, Taiwan
| | - Ling-Chun Lee
- Graduate Institute of Sport Coaching Science, Chinese Culture University, Taipei, Taiwan
| | - Yong-Cheng Huang
- Department of Physical Education, National Taiwan University of Physical Education and Sport, 16, Sec. 1, Shuan-Shih Rd, Taichung, 40404, Taiwan
| | - Yu-Yawn Chen
- Department of Physical Education, National Taiwan University of Physical Education and Sport, 16, Sec. 1, Shuan-Shih Rd, Taichung, 40404, Taiwan
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Moon JR, Stout JR, Smith-Ryan AE, Kendall KL, Fukuda DH, Cramer JT, Moon SE. Tracking fat-free mass changes in elderly men and women using single-frequency bioimpedance and dual-energy X-ray absorptiometry: a four-compartment model comparison. Eur J Clin Nutr 2013; 67 Suppl 1:S40-6. [DOI: 10.1038/ejcn.2012.163] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Bioelectrical Impedance Analysis in a Mathematical Model for Estimating Fat-free Mass in Multiple Segments in Elderly Taiwanese Males. INT J GERONTOL 2012. [DOI: 10.1016/j.ijge.2012.01.031] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
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Mioche L, Brigand A, Bidot C, Denis JB. Fat-free mass predictions through a Bayesian Network enable body composition comparisons in various populations. J Nutr 2011; 141:1573-80. [PMID: 21715469 DOI: 10.3945/jn.111.137935] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The respective contribution of fat-free mass (FFM) and fat mass to body weight (Wgt) is a relevant indicator of risk for major public health issues. In an earlier study, a Bayesian Network (BN) was designed to predict FFM from a DXA database (1999-2004 NHANES, n = 10,402) with easily accessible variables [sex, age, Wgt, and height (Hgt)]. The objective of the present study was to assess the robustness of these BN predictions in different population contexts (age, BMI, ethnicity, etc.) when covariables were stochastically deduced from population-based distributions. BN covariables were adjusted to 82 published distributions for age, Wgt, and Hgt from 16 studies assessing body composition. Anthropometric adjustments required a surrogate database (n = 23,411) to get the missing correlation between published Wgt and Hgt distributions. Published BMI distributions and their predicted BN counterparts were correlated (R(2) = 0.99; P < 0.001). Predicted FFM distributions were closely adjusted to their published counterparts for both sexes between 20 and 79 y old, with some discrepancies for Asian populations. In addition, BN predictions revealed a very good agreement between FFM assessed in different population contexts. The mean difference between published FFM values (61.1 ± 3.44 and 42.7 ± 3.32 kg for men and women, respectively) and BN predictions (61.6 ± 3.11 and 42.4 ± 2.76 kg for men and women, respectively) was <1% when FFM was assessed by DXA; the difference rose to 3.6% when FFM was assessed by bioelectric impedance analysis or by densitometry methods. These results suggest that it is possible, within certain anthropometric limitations, to use BN predictions as a complementary body composition analysis for large populations.
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Affiliation(s)
- Laurence Mioche
- Centre d'Examen de Sante Bretagne Ouest, 22000 Saint Brieuc, France.
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Lustgarten MS, Fielding RA. Assessment of analytical methods used to measure changes in body composition in the elderly and recommendations for their use in phase II clinical trials. J Nutr Health Aging 2011; 15:368-75. [PMID: 21528163 PMCID: PMC3376910 DOI: 10.1007/s12603-011-0049-x] [Citation(s) in RCA: 63] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
It is estimated that in the next 20 years, the amount of people greater than 65 years of age will rise from 40 to 70 million, and will account for 19% of the total population. Age-related decreases in muscle mass and function, known as sarcopenia, have been shown to be related to functional limitation, frailty and an increased risk of morbidity and mortality. Therefore, with an increasing elderly population, interventions that can improve muscle mass content and/or function are essential. However, analytical techniques used for measurement of muscle mass in young subjects may not be valid for use in the elderly. Therefore, the purpose of this review is to examine the applied specificity and accuracy of methods that are commonly used for measurement of muscle mass in aged subjects, and, to propose specific recommendations for the use of body composition measures in phase II clinical trials of function-promoting anabolic therapies.
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Affiliation(s)
- M S Lustgarten
- Nutrition, Exercise Physiology and Sarcopenia Laboratory, Jean Mayer USDA Human Research Center on Aging, Tufts University, Boston, MA 02111-1524, USA
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Santos DA, Silva AM, Matias CN, Fields DA, Heymsfield SB, Sardinha LB. Accuracy of DXA in estimating body composition changes in elite athletes using a four compartment model as the reference method. Nutr Metab (Lond) 2010; 7:22. [PMID: 20307312 PMCID: PMC2850896 DOI: 10.1186/1743-7075-7-22] [Citation(s) in RCA: 59] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2010] [Accepted: 03/22/2010] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Dual-energy x-ray absorptiometry (DXA) provides an affordable and practical assessment of multiple whole body and regional body composition. However, little information is available on the assessment of changes in body composition in top-level athletes using DXA. The present study aimed to assess the accuracy of DXA in tracking body composition changes (relative fat mass [%FM], absolute fat mass [FM], and fat-free mass [FFM]) of elite male judo athletes from a period of weight stability to prior to a competition, compared to a four compartment model (4C model), as the criterion method. METHODS A total of 27 elite male judo athletes (age, 22.2 +/- 2.8 yrs) athletes were evaluated. Measures of body volume by air displacement plethysmography, bone mineral content assessed by DXA, and total-body water assessed by deuterium dilution were used in a 4C model. Statistical analyses included examination of the coefficient of determinant (r2), standard error of estimation (SEE), slope, intercept, and agreement between models. RESULTS At a group level analysis, changes in %FM, FM, and FFM estimates by DXA were not significantly different from those by the 4C model. Though the regression between DXA and the 4C model did not differ from the line of identity DXA %FM, FM, and FFM changes only explained 29%, 36%, and 38% of the 4C reference values, respectively. Individual results showed that the 95% limits of agreement were -3.7 to 5.3 for %FM, -2.6 to 3.7 for FM, and -3.7 to 2.7 for FFM. The relation between the difference and the mean of the methods indicated a significant trend for %FM and FM changes with DXA overestimating at the lower ends and underestimating at the upper ends of FM changes. CONCLUSIONS Our data indicate that both at group and individual levels DXA did not present an expected accuracy in tracking changes in adiposity in elite male judo athletes.
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Affiliation(s)
- Diana A Santos
- Exercise and Health Laboratory, Faculty of Human Movement-Technical University of Lisbon, Portugal
| | - Analiza M Silva
- Exercise and Health Laboratory, Faculty of Human Movement-Technical University of Lisbon, Portugal
| | - Catarina N Matias
- Exercise and Health Laboratory, Faculty of Human Movement-Technical University of Lisbon, Portugal
| | - David A Fields
- Department of Pediatrics, Children's Medical Research Institute's Metabolic Research Program, University of Oklahoma Health Science Center, OK, USA
| | | | - Luís B Sardinha
- Exercise and Health Laboratory, Faculty of Human Movement-Technical University of Lisbon, Portugal
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Silva AM, Fields DA, Quitério AL, Sardinha LB. Are skinfold-based models accurate and suitable for assessing changes in body composition in highly trained athletes? J Strength Cond Res 2009; 23:1688-1696. [PMID: 19675495 DOI: 10.1519/jsc.0b013e3181b3f0e4] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2023]
Abstract
This study was designed to assess the usefulness of skinfold (SKF) equations developed by Jackson and Pollock (JP) and by Evans (Ev) in tracking body composition changes (relative fat mass [%FM], absolute fat mass [FM], and fat-free mass [FFM]) of elite male judo athletes before a competition using a 4-compartment (4C) model as the reference method. A total of 18 male, top-level (age: 22.6 +/- 2.9 yr) athletes were evaluated at baseline (weight: 73.4 +/- 7.9 kg; %FM4C: 7.0 +/- 3.3%; FM4C: 5.1 +/- 2.6 kg; and FFM4C: 68.3 +/- 7.3 kg) and before a competition (weight: 72.7 +/- 7.5 kg; %FM4C: 6.5 +/- 3.4%; FM4C: 4.8 +/- 2.6 kg; and FFM4C: 67.9 +/- 7.1 kg). Measures of body density assessed by air displacement plethysmography, bone mineral content by dual energy X-ray absorptiometry, and total-body water by bioelectrical impedance spectroscopy were used to estimate 4C model %FM, FM, and FFM. Seven SKF site models using both JP and Ev were used to estimate %FM, FM, and FFM along with the simplified Ev3SKF site. Changes in %FM, FM, and FFM were not significantly different from the 4C model. The regression model for the SKF in question and the reference method did not differ from the line of identity in estimating changes in %FM, FM, and FFM. The limits of agreement were similar, ranging from -3.4 to 3.6 for %FM, -2.7 to 2.5 kg for FM, and -2.5 to 2.7 kg for FFM. Considering the similar performance of both 7SKF- and 3SKF-based equations compared with the criterion method, these data indicate that either the 7- or 3-site SFK models are not valid to detect %FM, FM, and FFM changes of highly trained athletes. These results highlighted the inaccuracy of anthropometric models in tracking desired changes in body composition of elite male judo athletes before a competition.
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Affiliation(s)
- Analiza M Silva
- Exercise and Health Laboratory, Faculty of Human Movement-Technical University of Lisbon, Portugal.
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Moreira ADJ, Nicastro H, Cordeiro RC, Coimbra P, Frangella VS. Composição corporal de idosos segundo a antropometria. REVISTA BRASILEIRA DE GERIATRIA E GERONTOLOGIA 2009. [DOI: 10.1590/1809-9823.2009.12024] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Resumo Objetivo: Descrever o perfil antropométrico e a composição corporal de idosos por meio da antropometria, analisando a aplicabilidade das equações de predição de Petroski (1995) e de Durnin & Womersley (1974).Métodos: Foram avaliados 37 idosos de ambos os gêneros. As medições antropométricas foram realizadas segundo as diretrizes daInternational Society for the Advancement of Kineanthropometry, e determinaram as variáveis massa corporal, estatura, oito dobras cutâneas e sete perímetros musculares. Calcularam-se índice de massa corporal (IMC), relação cintura-quadril (RCQ), somatório de cinco dobras cutâneas e densidade corporal pelas equações de predição para idosos de Petroski (1995) e de Durnin & Womersley (1974) com conversão ao percentual de gordura (%G) pela equação de Siri (1961). Para posterior discussão, aplicou-se o teste t Student (p<0,05).Resultados: As variáveis idade, massa corporal, estatura e IMC não diferiram entre os gêneros. O somatório de cinco dobras cutâneas resultou em eutrofia para ambos os gêneros. A RCQ indicou "risco moderado" para homens e "risco alto" para mulheres, de complicações metabólicas. A equação de Durnin & Womersley (1974) subestimou nos indivíduos do gênero masculino e superestimou no gênero feminino o %G obtido pela equação de Petroski (1995), respectivamente. Por ambas as equações, os indivíduos do gênero feminino apresentaram %G superior aos do gênero masculino. Conclusões:Os indivíduos de ambos os gêneros apresentam elevada adiposidade corporal, especialmente na região omental. A equação de Petroski (1995) atendeu de modo satisfatório aos critérios de aplicação utilizados e mostrou ser adequada para a população em questão.
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