A history of anterior cruciate ligament reconstruction (ACLR) and high body mass index (BMI) are strong risk factors for incident knee osteoarthritis. Limited research has evaluated the interaction between ACLR and high BMI on limb-level loading and early deleterious changes in cartilage health. The purpose of this study was to separately investigate the association between vertical ground reaction force (vGRF) loading profiles during gait and tibiofemoral cartilage composition in ACLR patients with high and normal BMI. Forty-three participants with primary unilateral ACLR (17 ± 14 months post-ACLR) were categorized as high (≥ 25 kg/m2; n = 18) or normal (< 25 kg/m2; n = 25) BMI and performed an overground gait at self-selected speed. For biomechanical outcomes, we calculated the differences between first peak and midstance minimum (∆vGRF1) and between the second peak and midstance minimum (∆vGRF2). T1ρ relaxation time interlimb ratios (ILR), calculated as the T1ρ relaxation time in the ACLR relative to the uninjured limb, were calculated for the medial and lateral tibia and femur. Stepwise linear regressions were used to determine associations between biomechanical outcomes and T1ρ relaxation time ILR for each region of interest. Lesser ∆vGRF1 and ∆vGRF2 in the high-BMI group significantly associated with greater T1ρ relaxation time ILR for the medial femoral condyle (ΔR2 = 0.28, p = 0.03; ΔR2 = 0.25, p = 0.04, respectively) and tibial plateau (ΔR2 = 0.55, p < 0.001; ΔR2 = 0.25, p = 0.004, respectively). Aberrant limb-level loading, characterized by less dynamic limb loading, is linked to deleterious changes in tibiofemoral cartilage in ACLR patients with high BMI, suggesting that gait retraining may be more critical for ACLR with a BMI ≥ 25 kg/m2.

Adults with congenital heart disease (ACHD) are at increased risk of premature atherosclerotic cardiovascular disease. Obesity is an independent risk factor for a number of cardiometabolic diseases including atherosclerotic cardiovascular disease in healthy individuals; however, data on obesity in ACHD are limited. This study examined the prevalence of obesity in ACHD and the possible correlation between obesity and ACHD lesion severity.

From East Denmark, 7157 patients with ACHD were included and compared to 29,377 age- and sex-matched controls from the Copenhagen General Population Study.

Based on measured height and weight, ACHD patients versus controls had reduced prevalence of overweight (33 % versus 41 %, p < 0.001). Obesity was equally prevalent between ACHD patients and controls (16 % versus 15 %, p = 0.08), while severe obesity was more prevalent in ACHD patients versus controls (2 % versus 1 %, p < 0.001). However, in ACHD patients aged 18-59 years, a higher prevalence of obesity and severe obesity combined was observed compared to controls (odds ratio: 1.17 [95 % CI: 1.07-1.28]). Only ACHD patients with mild lesions were more often obese or severely obese compared to controls.

ACHD patients and controls from the background population had a similar prevalence of obesity, however ACHD patients were obese at a relatively younger age. Across ACHD severities, only adult patients with mild congenital heart disease were more often obese. These findings highlight the necessity of early weight management in ACHD patients.

The gut microbiota has been implicated in adult obesity, but the causality is still unclear. It has been hypothesized that an obesity-prone gut microbiota can be established in infancy, but only few studies have examined the early-life gut microbiota in relation to obesity in childhood, and no consistent associations have been reported. Here, we examine the association between the early-life gut microbiota and body mass index (BMI) development and body composition throughout childhood.

Gut microbiota from stool were collected from 700 children in the Copenhagen Prospective Studies on Asthma in Childhood2010 (COPSAC2010) cohort at ages of 1 week, 1month, 1 year, 4 years, and 6 years and analyzed by 16S rRNA gene sequencing. Outcomes included BMI World Health Organization (WHO) Z scores (zBMI), overweight (zBMI > 1.04) and obesity (zBMI > 1.64) (0-10 years), and adiposity rebound and body composition from dual-energy X-ray absorptiometry at 6 years.

The early-life gut microbiota diversity, overall composition, and individual taxon abundances in unsupervised and supervised models were not consistently associated with either current or later BMI Z scores, overweight, obesity, adiposity rebound, or body composition in childhood.

In a deeply characterized longitudinal birth cohort, we did not observe any consistent associations between the early-life gut microbiota and BMI or risk of obesity in later childhood. While this does not conclusively rule out a relationship, it suggests that if such associations exist, they may be more complex and potentially influenced by factors emerging later in life, including lifestyle changes.

COPSAC is funded by private and public research funds (all listed on www.copsac.com).

Artificial sweeteners are commonly used food additives that provide sweetness without calories. Once considered harmless due to their lack of metabolism, recent studies suggest that they may have unintended effects, potentially stimulating appetite and increasing food intake, leading to weight gain. This study aimed to assess consumer perceptions of artificial sweeteners in food, examine consumption frequencies of products containing them, and explore their potential influence on body mass index.

A cross-sectional study was conducted using two voluntary and anonymous surveys administered via Google Forms.

The study included 649 participants: 324 parents of preschool and school-aged children and 325 university and secondary school students. A substantial proportion of parents (59.3%) recognized artificial sweeteners as common sugar substitutes in beverages like juices, soft drinks, and protein drinks. Awareness was notably higher among students (88.9%). While most participants held a negative attitude toward artificial sweeteners, their awareness and engagement with food label reading were low. Multivariate linear regression identified significant associations: Male gender (β = 1.17, p < 0.001) and older age (β = 0.42, p < 0.001) were associated with higher BMI. Additionally, participants who rarely or never consumed carbonated soft drinks had a lower BMI (β = -1.48, p = 0.039), while those who occasionally consumed snacks had a higher BMI (β = 0.51, p = 0.039).

This research underscores the urgent need for public health initiatives addressing misconceptions, raising food label reading practices, while encouraging healthier consumption habits through educational campaigns. Additionally, the study's insights will help assess the potential cumulative health impacts of artificial sweetener intake.

Accurate body fat distribution assessment is essential for managing cardiovascular disease and metabolic disorders. Although several methods are available for segmental fat analysis, few studies have examined the validity of affordable methods such as Bioelectrical Impedance Analysis (BIA) against the reference method, Dual-Energy X-ray Absorptiometry (DXA). This study aimed to assess the validity of BIA as compared to DXA for segmental fat mass assessment, and to develop anthropometric multivariate regression models that offer a cost-effective alternative for health professionals in clinical and public health settings.

Cross-sectional study that included 264 young adults (161 males, mean age = 23.04 ± 5.61 years; and 103 females, mean age = 22.29 ± 5.98 years). Segmental fat mass was measured using DXA and BIA, and anthropometric measurements were collected following the ISAK protocol.

Significant differences were found between DXA and BIA for segmental fat mass (p < 0.001). Sex significantly influenced the results (p < 0.05), while BMI and hydration status had no significant impacts. The Bland-Altman analysis revealed significant differences (p < 0.001) between BIA and DXA for fat mass in the upper and lower limbs. Trunk fat mass also differed significantly in males and females (p < 0.001), except for the overall sample (p = 0.088). Anthropometric multivariate regression models showed a high predictive accuracy for both females (R²=0.766-0.910; p < 0.001) and males (R²=0.758-0.887; p < 0.001). Key predictors of segmental fat mass included body mass (r = 0.606-0.867; p < 0.001), skinfold thickness (r = 0.688-0.893; p < 0.001), and waist girth (r = 0.883 - 0.810; p < 0.001). Peripheral skinfolds were highly predictive for upper and lower limbs, while waist girth was relevant for trunk fat mass.

DXA and BIA are not interchangeable for segmental fat analysis due to the significant differences observed. However, the anthropometric multivariate regression models developed provide a cost-effective and reliable alternative for predicting segmental fat mass in clinical settings where DXA is unavailable.

Not applicable.

Nutritional supplements (NS) are linked to adverse events and unintentional doping among college-athletes. The use of third-party tested (TPT) NS can increase safety and reduce the risk of inadvertent consumption of banned substances. The purpose of this study was to examine self-reported use of TPT supplements between the National Collegiate Athletic Association (NCAA) Division I (DI) and Division III (DIII) college-athletes and explore the potential predictors of TPT use. This cross-sectional study used data from a web-based, 50-question survey on supplement use, behaviors, and knowledge. A total of 271 individuals completed the survey, 118 athletes (66.9% DI, 33.1% DIII) were included in the analysis due to completion of TPT NS questions. Among this sample, 80.5% of student-athletes reported use of TPT NS, however, only 17.8% of students reported consistent use of TPT NS. In the multivariable model adjusted for athletic division, sex, and sport-type, student-athletes who preferred information from a strength and conditioning coach or athletic trainer were 69% less likely to report consistent use of TPT NS across all categories when compared to those who preferred going to a registered dietitian nutritionist (RDN). Student-athletes with limited access to an RD/RDN were more likely to use an athletic trainer or strength and conditioning coach for supplement information. Having dedicated RDNs within athletic departments may benefit athletes when it comes to safe NS use. Programs should also consider additional supplement education to athletic trainers and strength and conditioning coaches to help ensure safe and effective use of NS.

Factors associated with performance outside of a normative range on dynamic exertion test (EXiT) after sport-related concussion (SRC) remain unknown. This study examined the role of demographic and medical history factors on performance using minimal detectable change (MDC) cutoff scores in athletes being cleared to return to sport (RTS) from SRC.

Older age, being female, and body mass index (BMI) ≥50th percentile would be associated with worse EXiT performance and with increased likelihood of falling outside the normative MDC score range.

Cross-sectional.

Level 3.

Demographic factors, physiological metrics, performance metrics, symptoms, and ratings of perceived exertion were collected from 55 participants (age, 16.5 ± 2.3 years, 31.5% female) initially evaluated within 14 days of SRC who completed EXiT at medical clearance for RTS. Chi-square analyses, logistic and ordinal regressions, and 1-way analyses of variance examined factors associated with EXiT performance.

Most participants fell within the MDC score range on aerobic (71.2-100%), dynamic (75.8-100%), and change-of-direction (36.5-98.0%) tasks, and symptoms (96.2-100%). Older age was associated with better performance on Box Drill Shuffle (P < 0.01) and lower heart rate (HR) outcomes after Ball Toss (P = 0.04), Box Drill Shuffle (P < 0.01), Box Drill Carioca (P = 0.04), and Pro Agility (P < 0.01). Greater BMI was associated with higher HR%max after Ball Toss (P < 0.01) and worse posttreadmill aerobic performance (P < 0.01). Motion sickness history was associated with longer Zig Zag completion time (P = 0.036).

Most athletes presenting for clearance from concussion performed within MDC score ranges on EXiT metrics.

EXiT is accurate and effective in assessing response to dynamic exertion after SRC, and MDC scores can inform RTS decisions. Clinicians should consider age, BMI, and history of motion sickness when assessing EXiT performance.

The long-standing widespread prevalence of obesity includes issues of its evaluation. Nutritional status may be assessed using various tools and methods; among others simple anthropometric measurements are well established. Widely used body mass index (BMI), presents an obstacle of needing to calculate a standard deviation score (SD) for correct use in the child population. As BMI overlooks body composition, it is necessary to evaluate fat and muscle mass with different methods. Established skinfolds and circumferences are used in many variations and equations to accomplish that goal; however, the parameters used in these methods also undergo secular changes. Furthermore, secular changes have been documented in fat mass distribution. The aim of the study is to assess secular changes of skinfolds thickness and body circumferences and evaluate their validity for use in clinical practice and population research.

Our database consisted of a recent (2016-2022) sample with 594 participants (298 males) and a reference sample (from 1990) with 2,910 participants (1,207 males). Both cohorts comprised Czech preschool children, aged 4.00 to 6.99 years. With standard methodology, anthropometric parameters were obtained for 13 skinfolds and eight circumferences, by trained staff. The equations of Slaughter, Durnin and Deurenberg were correspondingly calculated. Statistical evaluation was conducted in the R programming language, using Welch's test, Cohen's d and the Bland-Altman method.

Our study found significant increases in skinfold thickness on the abdomen, chest I. and forearm, with high clinical relevance (p ≥ 0.01; d = range from 0.20 to 0.70). Contrastingly, apart from the abdominal area, a decrease of circumferences was observed. The body fat percentage estimation equations were tested for bias in the recent sample in the context of bioimpedance analysis with the Bland-Altman method. All equations are suitable for application in clinical use.

Documented secular changes in fat mass distribution are only part of a contemporary accelerating trend of obesity prevalence. Our findings support the trend of a decline of circumferences and rise of skinfold thickness in corresponding areas, especially on the limbs, that is evidenced by the trend of latent obesity. The results of the study show the need to complement established diagnostic procedures in childhood obesitology with abdominal and midthigh circumferences and optionally even the maximal circumference of the forearm. These circumferences should always be measured alongside the skinfold thickness of the region. Only in this way can the overall adiposity of an individual with regard to secular changes, including the detection of latent obesity, be objectively evaluated.

The current study tested whether proposed sport-related risk factors for disordered eating behaviors were associated with increases in disordered eating over first-year college athletes' first four months of collegiate sport participation.

Participants included a sample of first-year college athletes (N = 59, 45% female) from a Division I National Collegiate Athletics Association (DI) university.

This follow-up study tested whether 1) wearing a uniform that emphasizes body concerns, 2) participating in a lean sport, and 3) perceived pressure for thinness from coaches and teammates would lead to increases in weight/shape concerns and disordered eating behaviors over the first four months of collegiate sport participation.

Wearing a uniform that emphasizes body concerns and perceived coach pressure for thinness predicted increases in weight/shape concern. Both teammate and coach pressure for thinness predicted increases in restrained eating behaviors.

Findings suggest that there are identifiable, athlete-specific risk factors for the development of disordered eating behaviors among first-year college athletes.

Childhood obesity represents a significant public health concern, imposing a substantial burden on the healthcare system. Furthermore, weight-loss programs often exhibit reduced effectiveness in adults who have a history of childhood obesity. Therefore, early intervention against childhood obesity is imperative. Presently, the primary method for diagnosing childhood obesity relies on body mass index (BMI), yet this approach has inherent limitations. Leptin, a satiety hormone produced by adipocytes, holds promise as a superior tool for predicting both childhood and subsequent adulthood obesity. In this review, we elucidate the tools employed for assessing obesity in children, delve into the biological functions of leptin, and examine the factors governing its expression. Additionally, we discuss maternal and infantile leptin levels as predictors of childhood obesity. By exploring the relationship between leptin levels and weight loss, we present leptin as a potential indicator of the effectiveness of obesity interventions.

We conducted a systematic review of the literature to assess the potential prognostic utility of geriatric nutritional risk index (GNRI) for head and neck cancer (HNC). We selected studies and extracted data after searching the Cochrane Library, EMBASE, and PubMed databases. The associations between GNRI and survival outcomes were explored by calculating hazard ratios (HRs) and 95% confidence intervals (CIs) through a random-effects meta-analysis. We included 11 studies that involved 2887 patients with HNC. The combined HR demonstrated significant associations of low GNRI with unfavorable progression-free survival (HR = 1.87, 95% CI = 1.32-2.65, p < 0.001) and overall survival (HR = 3.04, 95% CI = 2.30-4.03, p < 0.001). The association between the GNRI and overall survival persisted across various subgroups. The GNRI could serve as a valuable prognostic biomarker for patients with HNC. Low GNRI scores are significantly associated with unfavorable survival outcomes.

One of the main public health issues that has recently been observed in a greater number of children is being overweight. The cause certainly lies in the decreasing physical activity of children, but mostly in their eating habits. Soft drinks are recognized as the most significant contributor to body overweight due to high sugar content; thus, as a result of numerous campaigns, part of the sugar is replaced by artificial sweeteners (ASs). Despite their advantage due to their low caloric value, WHO recommends that they should not be used to achieve weight control or as prevention for reducing the risk of non-communicable diseases, as there is no evidence of their effectiveness. Apart from beverages, artificial sweetener combinations are also added to a variety of "low fat" and "high protein" food products, which are highly favored especially among the young population. Therefore, it is necessary to take care of the cumulative intake. The conducted study included a survey of 323 parents of children aged 1-14 years, as well as an analysis of the AS content in the products most often consumed by the respondents. The results of the survey show that a large part of children (40%) aged 3-14 often consume soft drinks. Different products (soft drinks, juices/nectars, syrups) were sampled based on the respondents' responses, and an analysis showed that 54% of them contained one or more ASs. In addition, the survey indicated parents' lack of information about the presence of AS in products, as 51% of parents declared that they do not read the declarations of the products they buy. It is necessary to persist in consumer education and changes in dietary preferences and habits, especially among children.

While under physiological conditions angiotensin-converting enzyme 2 (ACE2) is an antagonist of vasoconstrictive agents in the renin-angiotensin-aldosterone system (RAAS), in the context of SARS coronavirus 2 (SARS-CoV-2) ACE2 serves as the gateway into cells. Furthermore, RAAS has previously been shown to be influenced by exercise training and is suggested to be involved in skeletal muscle mass maintenance. Given this connection, the investigation of circulating ACE2 plasma protein concentration before and following acute and chronic endurance and resistance exercise could increase the understanding of the implications of the exposure of athletes to SARS-CoV-2. Therefore, this study investigated levels of circulating ACE2 in lifelong high-level trained endurance and resistance athletes and control subjects in response to either acute endurance or resistance exercise. Results show no baseline differences in absolute ACE2 concentration between groups, but a strong negative correlation with levels of fitness and positive correlation with BMI in control subjects. Furthermore, acute endurance exercise significantly increased ACE2 levels across all groups, but only in the strength group in response to resistance exercise. This indicates that circulating ACE2 plasma levels are influenced by levels of fitness and health, and that acute endurance exercise has a stronger effect on plasma ACE2 levels than resistance exercise.

To evaluate adiposity after anterior cruciate ligament reconstruction (ACLR): i) cross-sectionally (1-year post-ACLR) compared to uninjured controls; ii) longitudinally up to 5 years post-ACLR; and iii) associations with patient-reported symptoms and physical performance.

In 107 individuals post-ACLR and 19 controls, we assessed global (BMI), peripheral (subcutaneous adipose tissue thickness on the posteromedial side of knee MRI), and central (waist circumference in ACLR group) adiposity. Patient-reported symptoms (Knee injury and Osteoarthritis Outcome Score) and physical performance (hop for distance) were evaluated at 1 and 5 years post-ACLR. Linear regression models evaluated adiposity between groups. Paired t-tests evaluated changes in adiposity from 1- to 5 years post-ACLR. Linear regression models analyzed adiposity's associations with patient-reported symptoms and physical performance at 1-year post-ACLR, changes in symptoms and performance over 4 years post-ACLR, and longitudinal changes in adiposity and symptoms and performance, controlling for age, sex, and activity level.

Individuals 1-year post-ACLR were associated with higher average global (3 ​kg/m2) and peripheral adiposity (2.3 ​mm). From 1- to 5 years post-ACLR, higher average global (0.58 ​kg/m2) and central (5 ​cm) adiposity, and lower average peripheral adiposity (1.3 ​mm) were observed. In general, adiposity at one-year post-ACLR was negatively associated with patient-reported symptoms and physical performance, and changes from 1 to 5 years post-ACLR. Increases in adiposity were negatively associated with changes in patient-reported symptoms and physical performance over four years post-ACLR.

Greater global and central adiposity is a feature of young adults following ACLR and influences current and future patient-reported symptoms and physical performance.

This study verified the diagnostic accuracy of the nutritional status classified by the international height and BMI references of the World Health Organization (WHO) (WHO/2007), International Obesity Task Force (IOTF/2012) and MULT (2023). The data pool was composed by 22 737 subjects aged five to 16 years from the Santos and Porto Alegre surveys. A correlation matrix between the z-scores of the BMI references and the skinfold measurements was calculated through the Pearson correlation coefficient (r), and the subject's nutritional status was classified according to the international growth references. The accuracy for diagnosing obesity was performed separately by sex and using the 95th percentile of the triceps and subscapular skinfold sum, while Lin's concordance coefficient, Bland-Altman method and the Cohen's Kappa coefficient (Kappa) were used to verify the concordance and reliability among the BMI references. The correlation matrix showed a high positive correlation among the BMI z-scores (r ≥ 0·99) and among the skinfold measurements (r ≥ 0·86). The prevalence of stunting was higher when applying the MULT reference (3·4 %) compared with the WHO reference (2·3 %). The Bland-Altman plots showed the lowest critical difference (CD) between the height references of WHO and MULT (CD = 0·22). Among the BMI references, the WHO obesity percentile presented lower performance than MULT for boys, presenting a lower +LR value (WHO = 6·99/MULT 18 years = 10·99; 19 years = 8·99; 20 years = 8·09) for the same -LR values (0·04). Therefore, MULT reference holds promise as a valuable tool for diagnosing childhood obesity, particularly when considering sex differences. This enhances its suitability for assessing the nutritional status of Brazilian schoolchildren.

This study will test the effectiveness of FIT Families (FIT), a multicomponent family-based behavioural intervention, against a credible attention control condition, Home-Based Family Support (HBFS). This protocol paper describes the design of a randomised clinical trial testing the efficacy of the FIT intervention. The protocol will assess the efficacy of FIT to improve health status in African American adolescents with obesity (AAAO) and their primary caregivers on primary (percent body fat) and secondary (physical activity, metabolic control, weight loss) outcomes and its cost-effectiveness.

180 youth/caregiver dyads are randomised into FIT or HBFS, stratified by age, gender and baseline per cent overweight. The proposed study follows a two condition (FIT, HBFS) by four assessment time points. Tests will be conducted to identify potential relationship of baseline demographic and clinical variables to our dependent variables and see whether they are balanced between groups. It is hypothesised that youth/caregiver dyads randomised to FIT will show significantly greater reductions in percent body fat over a 12-month follow-up period compared with AAAO receiving HBFS. Preliminary findings are expected by November 2023.

This protocol received IRB approval from the Medical University of South Carolina (Pro00106021; see 'MUSC IRB 106021 Main Approval.doxc' in online supplemental materials).

Dissemination activities will include summary documents designed for distribution to the broader medical community/family audience and submission of manuscripts, based on study results, to relevant peer-reviewed scientific high-impact journals.

NCT04974554.

Persistent low-back pain (LBP) is highly prevalent in the military. Altered central pain processing is one of the mechanisms found to underlie persistent LBP. Our aim was to explore which factors are associated with altered pain processing in Dutch service members with persistent LBP. This knowledge may guide clinicians in what factors to address in the treatment of dysfunctional pain processing in service members with persistent LBP. Twenty-one service members with persistent LBP (mean age 34.0 years, 18 males) were included in this cross-sectional exploratory study. Participants completed questionnaires regarding lifestyle and psychological factors. Altered central pain processing was measured by temporal summation of pain to examine the function of the pain facilitatory system and by conditioned pain modulation to examine the pain inhibitory function. Univariable and multivariable linear regression analyses were performed. A higher local temporal summation of pain was associated with a longer sitting time, a higher level of physical activity and a higher level of pain catastrophizing. A higher local conditioned pain modulation was associated with a higher level of pain catastrophizing, anxiety and depression symptoms, and with a lower sleep quality. A higher remote conditioned pain modulation effect was associated with a higher level of physical activity, a higher body mass index and a shorter sitting time. This study succeeded in identifying lifestyle and psychological factors associated with altered pain processing in service members with persistent LBP. Prospective studies are needed to examine causality in these relationships.

Metabolic and cardiovascular diseases represent a significant and ever-increasing problem, accounting for nearly one-third of all deaths and leading to significant morbidity. Lifestyle changes, which introduce new risk factors for cardiovascular disease, are leading to an increase in the risk of cardiovascular disease worldwide. The burden of cardiovascular disease can be reduced by careful risk reduction, and as such, primary prevention is an important priority for all. There is strong consensus among international guidelines regarding the necessity of smoking cessation, weight optimization, and the importance of exercise, while guidelines differ slightly in their approach to hypertension and vary greatly in their approach to the optimal lipid profile, which remains a controversial issue.

The work is focused on the analysis of biochemical (glucose, cholesterol and triacylglycerols) and anthropometric (body mass index) parameters in selected probands (n = 140), including men (n = 70) and women (n = 70) in the Bardejov district. Probands were divided into groups depending on age (18-38, 39-50, 51-60, and over 61 years). For statistical evaluation, the program Statistica ver. 12 and ANOVA were used.

The results of the study showed statistically significantly higher values of BMI, total cholesterol (TC), triacylglycerides (TG), and glucose (GLU) (p < 0.001) between men and women in the age groups (18-38 years, 39-50 years). In probands from the age group 51-60 years and over 61 years, we found a high level of cholesterol above the reference limit, but a significant difference between men and women was not confirmed. Correlation analysis confirmed the positive correlation between glucose and BMI.

Differences in risk-factor (e.g., biochemical and anthropometrics) burden translate into marked differences in the lifetime risk of cardiovascular disease. These differences are consistent across age groups.

As both L- and D-BAIBA are increased with exercise, we sought to determine if circulating levels would be associated with physical performance. Serum levels of L- and D-BAIBA were quantified in 120 individuals (50% female) aged 20-85 years and categorized as either a "low" (LP), "average" (AP) or "high" performing (HP). Association analysis was performed using Spearman (S) and Pearson (P) correlation. Using Spearman correlation, L-BAIBA positively associated with (1) body mass index BMI (0.23) and total fat mass (0.19) in the 120 participants, (2) total fat mass in the 60 males (0.26), and (3) bone mineral density, BMD, (0.28) in addition to BMI (0.26) in the 60 females. In HP females, L-BAIBA positively associated with BMD (0.50) and lean mass (0.47). D-BAIBA was positively associated with (1) age (P 0.20) in the 120 participants, (2) age (P 0.49) in the LP females and (3) with gait speed (S 0.20) in the 120 participants. However, in HP males, this enantiomer had a negative association with appendicular lean/height (S - 0.52) and in the AP males a negative correlation with BMD (S - 0.47). No associations were observed in HP or AP females, whereas, in LP females, a positive association was observed with grip strength (S 0.45), but a negative with BMD (P - 0.52, S - 0.63) and chair stands (P - 0.47, S - 0.51). L-BAIBA may play a role in BMI and BMD in females, not males, whereas D-BAIBA may be a marker for aging and physical performance. The association of L-BAIBA with BMI and fat mass may reveal novel, not previously described functions for this enantiomer.

We aim to study the preoperative and intraoperative factors and compare against specific outcomes in patients undergoing transperitoneal laparoscopic donor nephrectomy and see if we could find what were the predictive factors for these outcomes.

This is a prospective cohort study done in a single high-volume transplant center. 153 kidney donors were evaluated over a period of 1 year. The preoperative factors such as age, gender, smoking status, obesity, visceral obesity, perinephric fat thickness, number of vessels, anatomic abnormalities, comorbidities, and side of kidney and intraoperative factors such as lay of colon on the kidney, height of splenic or hepatic flexure of colon, loaded or unloaded colon, and sticky mesenteric fat were compared against specific outcomes such as duration of surgery, duration of hospital stay, postoperative paralytic ileus, and postoperative wound complications.

Multivariate logistic regression models were used to study the variables of interest against the various outcomes. There were three positive risk factors for increased hospital stay, which were perinephric fat thickness and height of splenic or hepatic flexure of colon and smoking history. There was one positive risk factor for postoperative paralytic ileus which is lay of colon with relation to kidney and there was one positive risk factor for postoperative wound complication which was visceral fat area.

The predictive factors for adverse postoperative outcomes after transperitoneal laparoscopic donor nephrectomy were perinephric fat thickness, height of splenic or hepatic flexure, smoking status, lay or redundancy of colon with relation to kidney and visceral fat area.

In studies of the association of adiposity with disease risk, widely used anthropometric measures of adiposity (e.g. body-mass-index [BMI], waist circumference [WC], waist-hip ratio [WHR]) are simple and inexpensive to implement at scale. In contrast, imaging-based techniques (e.g. magnetic resonance imaging [MRI] and dual x-ray absorptiometry [DXA]) are expensive and labour intensive, but can provide more accurate quantification of body fat composition. There is, however, limited evidence about the relationship between conventional and imaging-derived measures of adiposity.

We searched Scopus and Web of Science for published reports in English of conventional versus imaging-derived measurements of adiposity. We identified 42 articles (MRI = 22; DXA = 20) that met selection criteria, involving 42,556 (MRI = 15,130; DXA = 27,426) individuals recruited from community or hospital settings. Study-specific correlation coefficients (r) were transformed using Fisher's Z transformation, and meta-analysed to yield weighted average correlations, both overall and by ancestry, sex and age, where feasible. Publication bias was investigated using funnel plots and Egger's test.

Overall, 98% of participants were 18 + years old, 85% male and 95% White. BMI and WC were most strongly correlated with imaging-derived total abdominal (MRI-derived: r = 0.88-; DXA-derived: 0.50-0.86) and subcutaneous abdominal fat (MRI-derived: 0.83-0.85), but were less strongly correlated with visceral abdominal fat (MRI-derived: 0.76-0.79; DXA-derived: 0.80) and with DXA-derived %body fat (0.76). WHR was, at best, strongly correlated with imaging-derived total abdominal (MRI-derived: 0.60; DXA-derived: 0.13), and visceral abdominal fat (MRI-derived: 0.67; DXA-derived: 0.65), and moderately with subcutaneous abdominal (MRI-derived: 0.54), and with DXA-derived %body fat (0.58). All conventional adiposity measures were at best moderately correlated with hepatic fat (MRI-derived: 0.36-0.43). In general, correlations were stronger in women than in men, in Whites than in non-Whites, and in those aged 18 + years.

In this meta-analysis, BMI and WC, but not WHR, were very strongly correlated with imaging-derived total and subcutaneous abdominal fat. By comparison, all three measures were moderately or strongly correlated with imaging-based visceral abdominal fat, with WC showing the greatest correlation. No anthropometric measure was substantially correlated with hepatic fat. Further larger studies are needed to compare these measures within the same study population, and to assess their relevance for disease risks in diverse populations.

Per- and polyfluoroalkyl substances (PFAS) are synthetic chemicals found in drinking water and consumer products, resulting in ubiquitous human exposure. PFAS have been linked to endocrine disruption and altered weight gain across the lifespan. A limited and inconsistent body of research suggests PFAS may impact gestational weight gain (GWG) and postpartum body mass index (BMI), which are important predictors of overall infant and maternal health, respectively.

In the Understanding Pregnancy Signals and Infant Development (UPSIDE/UPSIDE-MOMs) study (n = 243; Rochester, NY), we examined second trimester serum PFAS (PFOS: perfluorooctanesulfonic acid, PFOA: perfluorooctanoic acid, PFNA: perfluorononanoic acid, PFHxS: perfluorohexanesulfonic acid, PFDA: perfluorodecanoic acid) in relation to GWG (kg, and weekly rate of gain) and in the postpartum, weight retention (PPWR (kg) and total body fat percentage (measured by bioelectrical impedance)). We fit multivariable linear regression models examining these outcomes in relation to log-transformed PFAS in the whole cohort as well as stratified by maternal pre-pregnancy BMI (< 25 vs. =  > 25 kg/m2), adjusting for demographics and lifestyle factors. We used weighted quantile sum regression to find the combined influence of the 5 PFAS on GWG, PPWR, and body fat percentage.

PFOA and PFHxS were inversely associated with total GWG (PFOA: ß = -1.54 kg, 95%CI: -2.79, -0.30; rate ß = -0.05 kg/week, 95%CI: -0.09, -0.01; PFHxS: ß = -1.59 kg, 95%CI: -3.39, 0.21; rate ß = -0.05 kg/week, 95%CI: -0.11, 0.01) and PPWR at 6 and 12 months (PFOA 6 months: ß = -2.39 kg, 95%CI: -4.17, -0.61; 12 months: ß = -4.02 kg, 95%CI: -6.58, -1.46; PFHxS 6 months: ß = -2.94 kg, 95%CI: -5.52, -0.35; 12 months: ß = -5.13 kg, 95%CI: -8.34, -1.93). PFOA was additionally associated with lower body fat percentage at 6 and 12 months (ß = -1.75, 95%CI: -3.17, -0.32; ß = -1.64, 95%CI: -3.43, 0.16, respectively) with stronger associations observed in participants with higher pre-pregnancy BMI. The PFAS mixture was inversely associated with weight retention at 12 months (ß = -2.030, 95%CI: -3.486, -0.573) amongst all participants.

PFAS, in particular PFOA and PFHxS, in pregnancy are associated with altered patterns of GWG and postpartum adiposity with potential implications for fetal development and long-term maternal cardiometabolic health.

The effects of mindfulness-based interventions (MBIs) on anthropometrics remain obscure. This review quantitatively synthesizes the effects of MBIs on decreasing body mass index (BMI), waist circumference (WC), weight, and percent body fat (%BF).

Seven databases, including CINAHL Plus with Full Text, PubMed, PsycINFO, Cochrane, Web of Science Core Collection, Embase, and Sociological Abstracts were searched; studies with a comparison group were selected. Random-effects models were then applied to estimate the pooled effects (Hedge's g), while exploratory moderation analyses with mixed-effects models were performed to explore potential moderators of MBIs on anthropometrics.

The pooled effect size was -0.36 (p < .001) on BMI, -0.52 (p < .001) on WC, -1.20 (p < .004) on weight loss, and -0.43 (p = .389) on %BF. The long-term effects from baseline to follow-up and from post-intervention to follow-up were sustained on BMI (-0.37, p = .027; -.24, p = .065) and weight loss (-1.91, p = .027; -0.74, p = .011) respectively. For weight loss, adding mindful movement had greater effects than those without (-2.65 vs -0.39, p < .001).

Our findings support the short-term MBI effects on BMI reduction, WC, weight, and %BF, and long-term effects on reducing BMI and weight. Future efforts should focus on sustaining effects on reducing WC and %BF.

As both L- and D-BAIBA are increased with exercise, we sought to determine if circulating levels would be associated with physical performance.

Serum levels of L- and D-BAIBA were quantified in 120 individuals (50% female) aged 20-85 years and categorized as either a "low" (LP), "average"(AP) or "high" performer (HP).Association analysis was performed using Spearman (S) and Pearson (P) rank correlation.

Using the Spearman (S) rank correlation, L-BAIBA positively associated with BMI (0.23) and total fat mass (0.19) in the 120 participants, with total fat mass in the 60 males (0.26) but with both BMI (0.26) and BMD (0.28) in the 60 females. In the HP females, L-BAIBA positively associated with BMD (0.50) and lean mass (0.47).Using the Pearson (P) rank correlation D-BAIBA was positively associated with age (0.20) in the 120 participants and in the LP females (0.49). D-BAIBA associated with gait speed (S 0.20) in the 120 participants. In HP males, this enantiomer had a negative association with appendicular lean/height (S -0.52) and in the AP males with BMD (S -0.47). No associations were observed in HP or AP females, whereas, in LP females, in addition to a positive association with age, a positive association was observed with grip strength (S 0.45), but a negative with BMD (P -0.52, S -0.63) and chair stands (P -0.47, S -0.51).

L-BAIBA may play a role in BMI and BMD in females, not males, whereas D-BAIBA may be a marker for aging.

Childhood obesity is most prevalent nutritional disorder worldwide. Studies on clinical correlations between body fat (BF) composition, lipid profile, inflammatory biomarkers, and endothelial dysfunction (ED) parameters in children from United Arab Emirates (UAE) are limited. Therefore, we aimed to study obesity pattern in children and determine clinical correlations with biomarkers.

Children (6-13 years) from different schools were divided into obese, overweight, and normal groups based upon Centers for Disease Control and Prevention weight-for-age centiles study (n=166). Anthropometric, BF composition, lipid profile, inflammatory, and ED biomarkers were determined and analyzed using SPSS software.

The mean age and weight ± SD of participants were 10.6 ± 2.6 years and 48.2 ± 19.5 kg with 65% as overweight or obese. In normal, overweight, and obese group male were 40 (70.2%), 35 (67.3%), and 40 (70.2%) and female were 17 (29.8%), 17 (32.7%) and 17 (29.8%). There was significant difference in age (p<0.01), height (p< 0.01), weight (p< 0.01) among groups. Obesity markers (MCP-1, leptin, adiponectin) showed positive correlation with age, height, weight, WC, BF%, body fat mass (BFM), body muscle mass (BMM). A significant correlation (all p<0.01) of BMM with SBP (r=0.412), DBP (r=0.255), MCP-1 (r=0.558), adiponectin (r=0.635), hs-CRP (r=0.263), IL-6 (r=0.348), TNF-alpha (r=0.370), ICAM-1 (r=0.237), and VCAM-1 (r=0.343). The inflammatory markers (ICAM-1, VCAM-1) showed significant correlations with age, height, weight, WC, BF%, BFM, BMM. Leptin significantly (all p<0.01) correlated with age (r=0.470), height (r=0.423), weight (r=0.677), WC (r=0.606), BF (r=0.700), BFM (r=0.752), and BMM (r=0.524) and negatively correlated with TBW (r=-0.701). Adiponectin also showed a significant (all p<0.01) positive correlation with age, height, weight, WC, BF, BFM, and BMM.

A strong association between BF composition, lipid profile, and inflammatory and ED biomarkers was observed in the study. Thus, immediate measures should be implemented to reduce risk of obesity and associated diseases.

Background: Body weight is an important aspect in the development of components of physical fitness that can affect athletic performance. The purpose of this study was to examine the differences in body balance of Brazilian Jiu-Jitsu (BJJ) athletes according to body mass classification: underweight/normal weight (UW/NW); overweight/obese (OW/OB). Material and Methods: The study was conducted among 69 BJJ athletes (age 23.26 ± 3.53) and 93 non-practicing adults (age 21.73 ± 2.32). This study was based on a quantitative assessment of body balance on the Zebris PDM platform during two tests, i.e., with eyes open and closed. Results: The total path of the center of pressure (COP TTL) was significantly higher in participants with UW/NW compared to those with OW/OB, both in participants from the study group and control group (p < 0.001). COP TTL was significantly lower in UW/NW BJJ athletes than in participants in the control group with the same BMI category (987.4 mm vs. 1238.5 mm and 1080.59 mm vs. 1280.70 mm, respectively) (p < 0.001). Conclusions. BJJ training is associated with a better balance in terms of COP TTL in the case of people with normal or underweight. The presence of excess body weight has a positive effect on lower COP TTL values in both practicing and non-practicing people.

This study identified the trajectories of organized youth sports over 9 years in youths aged 9-18 years and examined whether the trajectories predicted physical activity, sedentary behavior, and obesity in midlife.

Self-reported organized youth sports trajectories were identified for participants between 1980 and 1989 (N=3,474). Accelerometer-derived physical activity was quantified for participants (n=1,349) in 2018-2020. Sociodemographic, physical activity, and TV viewing data were collected through questionnaires either at baselines or follow-up. Adult BMI was calculated to clarify obesity. Associations of organized youth sports trajectories with adult physical activity, sedentary behavior, and obesity were evaluated using mixture models, which were stratified by sex and conducted in 2022.

Three organized youth sports trajectories were identified for boys and girls (sustained high-sports participation, 12.0%/7.5%; sustained moderate-sports participation, 14.0%/13.3%; and low-sports/nonparticipation, 74.0%/79.2%). Boys sustaining both moderate- and high-sports participation had higher levels of adult self-reported physical activity (β=0.59, p=0.007; β=0.69, p<0.001) than low-sports/nonparticipating boys. Girls sustaining both moderate- and high-sports participation accumulated more total physical activity (β=113.4, p=0.009; β=144.3, p=0.002), moderate-to-vigorous physical activity (β=7.86, p=0.016; β=14.01, p<0.001), step counts (β=1,020, p=0.003; β=1,045, p=0.005), and self-reported physical activity (β=0.79, p<0001; β=0.63, p=0.003) in midlife than their low-sports/nonparticipating counterparts. Girls sustaining moderate-sports participation accumulated more light-intensity physical activity (β=19.79, p=0.012) and less sedentary time (β= -27.65, p=0.002), and those sustaining high-sports participation had lower obesity prevalence (OR=0.41, p=0.009) 40 years later than low-sports/nonparticipating girls.

Sustained participation in organized youth sports is independently predictive of physical activity patterns, sedentary time, and obesity in midlife, especially in girls, thus contributing to the development of a healthy and active lifestyle across the life course.

Esports players, like traditional athletes, practice for long hours and, thus, are vulnerable to the negative health effects of prolonged sitting. There is a lack of research on the physical activity and the health ramifications of prolonged sitting by competitive players. The purpose of this study was to investigate activity levels, body mass index (BMI), and body composition in collegiate esports players as compared to age-matched controls.

Twenty-four male collegiate esports players and non-esports players between 18 and 25 years of age signed a written consent to participate. Physical activity was examined using daily activity (step count) with a wrist-worn activity tracker. A questionnaire assessing physical activity was also administered. Secondary outcomes included body-fat percentage, lean-body mass, BMI, and bone mineral content measured using dual X-ray absorptiometry.

The step count in the esports players was significantly lower than the age-matched controls (6040.2 ± 3028.6 vs. 12843.8 ± 5661.1; p = 0.004). Esports players exhibited greater body-fat percentage (p = 0.05), less lean body mass (p = 0.003), and less bone mineral content (p = 0.03), despite no difference in BMI between the esports and non-esports players.

As compared to non-esports players, collegiate esports players were significantly less active and had a higher body-fat percentage, with lower lean body mass and bone mineral content. The BMIs showed no difference between the 2 groups. Esports athletes displayed significantly less activity and poor body composition, which are all correlated with potential health issues and risk of injury. BMI did not capture this difference and should not be considered as an accurate measure of health in competitive esports players.

(1) Background: Excessive amounts of adipose tissue is a health risk. The aim of this study was to assess the impact of increased physical activity (PA) at school on body fat content in children aged 10 to 12 years over a 2-year follow-up. (2) Methods: Children born in 2007 (n = 245) in two groups, (1) standard PA and (2) increased PA at school, 4 and 10 h of physical education lessons per week, respectively. BIA measurements of body fat content were taken twice a year. Results were interpreted based on children's fat content reference curves. (3) Results: During 2 years of observation, the percentage of children with excessive fat mass (overweight and obese) increased by one-third (from 28.11% to 39.67%) in the group of standard PA, while decreased by one-third in the increased PA one (from 28.92% to 21.00%); with normal fat content increased by one-quarter in the increased PA group (from 59.86% to 76.26%) and decreased by one-tenth in the standard PA one (from 61.61% to 56.29%). (4) Conclusions: An increase in PA at school has a positive impact on children's body fat content. It is recommended to increase the number of physical education lessons at school, which has a positive effect on children's health, reducing the risk of obesity.

This study aimed to determine the correlation between body composition (measured as weight, body mass index, and body fat percentage (BFP)) and electrocardiographic ventricular parameters (the QT and TQ intervals and the ratios between the electrical diastole and electrical systole (TQ/QT) and between the cardiac cycle and electrical diastole (RR/TQ), both for uncorrected and corrected intervals) in a sample of 50 healthy subjects (age interval 19-23 years, mean age 21.27 ± 1.41 years, 33 women and 17 men). Subjects' measurements were performed with a bioimpedancemetry body composition analyzer and a portable ECG monitor with six leads. Starting from the correlations obtained between the investigated continuous variables, we performed a standard linear regression analysis between the body composition parameters and the ECG ones. Our results revealed that some of our regression models are statistically significant (p < 0.001). Thus, a specific part of the variability of the dependent variables (ECG ventricular activity parameters for corrected QT intervals) is explained by the independent variable BFP. Therefore, body composition influences ventricular electrical activity in young adults, which implies a differentiated interpretation of the electrocardiogram in these situations.

Normal weight obesity (NWO) is a new emerging phenotype of obesity, defined as a normal body mass index with a high body fat percentage. While several studies have described the impact of NWO on cardiometabolic risk factors, the association between them remains uncertain. This meta-analysis systematically evaluated cardiometabolic risk factors in adults with NWO compared to adults with normal weight lean (NWL). A systematic literature search was performed from the inception until September 21, 2021 in order to comprehensively search for all observational studies that had three important variables, including adults (age ≥18 years old), NWO and cardiometabolic risk factors including metabolic syndrome, hypertension, diabetes mellitus, dyslipidaemia or all laboratory findings related to cardiometabolic risk factors. Twenty-four cross-sectional studies with a total of 75 201 subjects are included in the qualitative and quantitative analysis. Overall, older age and female sex are more likely in NWO population. Compared to NWL, NWO is significantly associated with cardiometabolic risk factors, including metabolic syndrome (OR = 2.24 [1.74, 2.89]; p < .001; I2  = 76%, Pheterogeneity  < 0.001), hypertension (OR = 1.60[1.36, 1.89]; p < .001; I2  = 76%, Pheterogeneity  < 0.001), diabetes mellitus (OR = 1.72[1.54, 1.92]; p < .001; I2  = 47%, Pheterogeneity  < 0.001), dyslipidaemia (OR = 1.50 [1.03, 2.18]; p = .03; I2  = 94%, Pheterogeneity  < 0.001) and other laboratory findings, except for C-reactive protein in both sexes group; and adiponectin levels in female group. Our meta-analysis showed that NWO was associated with cardiometabolic risk factors. Thus, the traditional definition of obesity using the BMI criteria should be challenged, as those with NWO might still be exposed to a heightened risk of cardiometabolic disorders. Nonetheless, further prospective cohort studies are needed better to understand this syndrome.

Reports estimate between 1.6-3.8 million sports-related concussions occur annually, with 30% occurring in youth male American football athletes. Many studies report neurophysiological changes in these athletes, but the exact reasons for these changes remain elusive. Investigation of injury mechanics highlights a need to address how player position might impact these changes. Here, 55 high school American football athletes (20 linemen; 35 non-linemen) underwent magnetic resonance spectroscopy four times over the course of a football season (once prior to the season (Pre), twice during (In1, In2), and once following (Post)) to quantify metabolites (N-acetyl aspartate, choline, creatine, myo-inositol, and glutamate/glutamine) in the dorsolateral prefrontal cortex (DLPFC) and primary motor cortex (M1). Head acceleration events (HAEs) were monitored at each practice and game. Spectroscopic and HAE data were analyzed by imaging session and player position. Linear regression analyses were conducted between metabolite levels and HAEs, and metabolite levels in football athletes were compared to age-and gender-matched non-contact athletes. Across-season (i.e., between Pre and In1, In2, Post), different DLPFC and M1 metabolites decreased (p<0.05) according to player position (i.e., linemen vs. non-linemen). The majority of regression results involved DLPFC metabolites in linemen, where metabolite levels were higher, from Pre to Post, with increasing HAE load. Comparisons with control athletes revealed higher metabolite levels in football athletes both before and after the season. This study highlights the importance of player position when conducting analyses on American football athletes and demonstrates elevated DLPFC and M1 brain metabolites in football athletes compared to control athletes at both Pre and Post, suggesting potential HAE-related neurocompensatory mechanisms.

There is insufficient evidence of an association between long-term exposure to air pollution and changes in blood lipid levels, and assessments may be influenced by residual confounding factors, such as socioeconomic status.

To investigate the associations between long-term exposure to air pollution and blood lipid profiles while controlling for the risk of residual confounding factors.

We conducted a study involving conscripted Korean soldiers to assess the associations between air pollution and blood lipid levels. The soldiers, who were randomly distributed among military units throughout the country, led homogenous lives and were subjected to health checkups 8-12 months post-enlistment. We analyzed data pertaining to those who enlisted and underwent health checkups in 2019 (n = 12,778) using linear mixed models. Additionally, we evaluated quantile-specific associations using quantile regression models. We also assessed interactions based on body mass index (BMI) at the time of enlistment (≥25.0 vs. < 25.0 kg/m²).

The linear mixed models revealed that a 10-µg/m³ increase in fine particulate matter ≤ 2.5 μm (PM_2.5) decreased high-density lipoprotein cholesterol (HDL-C) levels by -0.66% (95% confidence interval [CI]: -1.21, -0.10), and a 10-ppb increase in nitrogen dioxide (NO₂) increased total cholesterol (TC) levels by 1.04% (95% CI: 0.24, 1.84). In the quantile regression models, associations were also found at specific deciles. PM_2.5 exposure contributed to higher TC, NO₂ resulted in higher triglycerides and lower HDL-C, and ozone (O₃) led to lower HDL-C. The association between O₃ and TC differed according to BMI (p-value for interaction = 0.03); among those with a BMI ≥ 25.0 kg/m², a 10-ppb increase in O₃ increased TC by 1.09% (95% CI: 0.20, 1.09).

These results shed new light on the importance of controlling air pollution, which can contribute to abnormal blood lipid levels, an independent risk factor for cardiovascular disease.

Pfeifer, CE, Sacko, RS, Ortaglia, A, Monsma, EV, Beattie, PF, Goins, J, and Stodden, DF. Fit to play? Health-related fitness levels of youth athletes: A pilot study. J Strength Cond Res 36(1): 245-251, 2022-A recent National Strength and Conditioning Association position statement suggests that many youth are not prepared for the physical demands of sport. The purpose of this study was to compare health-related fitness (HRF) of youth athletes with normative findings from the general population. We recruited 136 athletes (63 male and 73 female athletes) aged 11-19 (16.01 ± 1.35) years and collected HRF (body composition, cardiorespiratory endurance, musculoskeletal strength and endurance). Results were categorized based on FITNESSGRAM® standards and compared with Canadian youth general population normative data. Most male athletes were classified as "needs improvement" for cardiorespiratory and muscular endurance, and body mass index (BMI). Conversely, most female athletes were at or above the "healthy fitness zone" for all measures. Male athletes at both age groups (11-14, 15-19; p < 0.001) and female athletes aged 11-14 (p < 0.05) demonstrated lower cardiorespiratory endurance compared with Canadian general population. Female athletes (both age groups) demonstrated greater muscular strength, and male athletes (age, 15-19 years) demonstrated lower BMI than the Canadian general population. The results are concerning as male athletes demonstrated poorer HRF compared with the general population. Although most female athletes were within healthy ranges, a portion of them were still at risk. Considering the demands sport places on the body, evaluating HRF is paramount for performance and injury prevention but more importantly for overall health. Youth sport and strength coaches should evaluate and aim to enhance HRF, as participation in sport does not guarantee adequate HRF. Promoting long-term athletic development and life-long health should be a priority in youth.

Background and Objective: Weight-related behaviors are determined by multiple individual and contextual factors, with recent evidence implicating personal social networks (PSNs). Greater understanding of these relationships could help inform healthy weight promoting interventions. We conducted a feasibility study among youth at risk of obesity to document process outcomes, to discern relationships between PSN features and weight-related behaviors, and to generate hypotheses with respect to perceived social support (SS) and sex. Methods: Participants (egos) nominated up to 10 people (alters) with whom they discussed important matters. Egos reported their own and each alter's age, sex, body shape, lifestyle behaviors, relation, frequency of exercising with each alter, and of being encouraged by each alter to exercise. We examined relationships between PSN features and weight-related outcomes and explored the role of SS, using both correlational and linear regression analyses. Results: There were 45 participants (mean age 16.4 years) and body mass index z-score (zBMI) ranged from -1.2 to 3.9. There were few missing responses to PSN items; broad variation across most items, including SS scores, was reported. Correlations pointed to plausible relationships implicating PSN features and lifestyle behaviors. In exploratory analyses, network-based SS was positively associated with adiposity in girls and negatively associated in boys, while lifestyle role modelling was not associated with adiposity. Conclusions: Our findings support the feasibility of measuring the PSN in youth and the potential for using social network analysis to investigate social and behavioral mechanisms associated with obesity.

Parallels between the persistent overconsumption of food and addictive drugs have given rise to the notion of food addiction. In a large community sample of Canadian adults, the current study examined the prevalence of food addiction and its relationship with obesity, quality of life and multiple indicators of impulsivity. A secondary goal was to analyze differences between obese and non-obese individuals with and without food addiction.

Cross-sectional in-person assessment.

Hamilton, Ontario, Canada.

A total of 1432 community adults (age = mean ± standard deviation = 38.93 ± 13.7; 42% male) recruited from the general community using print, bus and internet advertisements.

Yale Food Addiction Scale 2.0, anthropometrics (including body mass index), body composition (e.g. body fat, muscle mass, body water), World Health Organization Quality of Life scale and impulsivity measures, including impulsive personality traits, delay discounting and behavioral inhibition.

The prevalence of food addiction was 9.3% and substantially below that of obesity (32.7%), although food addiction was significantly more common among obese individuals (18.5%, P < 0.001). Food addiction was associated with significantly lower quality of life in all domains (βs = -0.21 to -0.34, Ps < 0.001) and significantly higher impulsive personality traits, particularly negative and positive urgency (βs = 0.37 and 0.30, Ps < 0.001). Subgroup contrasts within both the obese and non-obese strata revealed that food addiction was associated with significantly lower quality of life in all domains (Ps < 0.001). Food addiction among non-obese individuals was also associated with higher body mass index (P < 0.001).

In a general community sample, food addiction was present in slightly fewer than one in 10 individuals, approximately one-third the prevalence of obesity, but with twice the prevalence among obese individuals. Food addiction appears to be associated with substantively lower quality of life and elevations in impulsivity, particularly in deficits in emotional regulation.

Muscle fat infiltration (MFI) has been widely reported across cervical spine disorders. The quantification of MFI requires time-consuming and rater-dependent manual segmentation techniques. A convolutional neural network (CNN) model was trained to segment seven cervical spine muscle groups (left and right muscles segmented separately, 14 muscles total) from Dixon MRI scans (n = 17, 17 scans < 2 weeks post motor vehicle collision (MVC), and 17 scans 12 months post MVC). The CNN MFI measures demonstrated high test reliability and accuracy in an independent testing dataset (n = 18, 9 scans < 2 weeks post MVC, and 9 scans 12 months post MVC). Using the CNN in 84 participants with scans < 2 weeks post MVC (61 females, 23 males, age = 34.2 ± 10.7 years) differences in MFI between the muscle groups and relationships between MFI and sex, age, and body mass index (BMI) were explored. Averaging across all muscles, females had significantly higher MFI than males (p = 0.026). The deep cervical muscles demonstrated significantly greater MFI than the more superficial muscles (p < 0.001), and only MFI within the deep cervical muscles was moderately correlated to age (r > 0.300, p ≤ 0.001). CNN's allow for the accurate and rapid, quantitative assessment of the composition of the architecturally complex muscles traversing the cervical spine. Acknowledging the wider reports of MFI in cervical spine disorders and the time required to manually segment the individual muscles, this CNN may have diagnostic, prognostic, and predictive value in disorders of the cervical spine.

Physical activity (PA) is required for healthy growth, development, and maturation and plays an important role in the prevention of overweight and obesity in childhood and adolescence. Sex-differences in PA levels are well documented, with boys spending more time in PA, especially in moderate-to-vigorous activities. Following the Life History Theory, our aim is to study if PA affects the fat tissues increases during childhood and juvenile phases in both sexes.

Time spent in sedentary, light, and moderate-to-vigorous PA levels were measured in a sample of 415 Portuguese children and juveniles (207 females/208 males; aged 6-11 years), using an accelerometer for 7 days. Skinfolds related with body fat were objectively collected and socioeconomic status factors were reported using a parental questionnaire.

The outcomes show that girls' and boys' fat variables increased during the end of the childhood and the juvenile phase. However, these variables were differently affected by PA. Girls increased fat variables with the sedentary activity while boys decreased fat variables with moderate-to-vigorous PA. Alike, active boys but not girls reduced the fat increase tendency with age.

Although both sexes displayed a general fat increment with age, moderate-to-vigorous PA dampens the increase only in boys. In fact, active girls increased body fat in the same manner as non-active girls. From an evolutionary perspective, it could explain sex-specific somatic strategies related to future reproduction or, with future mating and intrasexual competition.