Participating in lifelong endurance sports is associated with an increased risk of atrial fibrillation (AF), potentially mediated through the process of left atrial (LA) remodeling which includes the progression of atrial fibrosis. This cross-sectional cohort study aimed to investigate LA remodeling including the presence and localization of LA fibrosis in lifelong endurance athletes. 42 master endurance athletes (76% male, age 54 ± 9 years), participating in Ironman races, (ultra) marathons and the Cape Epic Mountain Bike races, underwent clinical assessment with questionnaires, physical examination, and cardiac MRI (CMR). LA function, volumes, and left ventricular volumes were assessed. The extent of LA fibrosis, both global and regional, was derived from post-processed 3D late gadolinium-enhanced images using ADAS 3D. The median LA fibrotic burden as assessed by LGE-CMR was 2.5% (interquartile range, 1.1 to 7.6%). Fibrosis was heterogeneously distributed across the LA wall, with the highest burden observed along the left aspect of the posterior wall. There were no significant associations between LA fibrotic burden and atrial volume or functional parameters. Similarly, no associations were observed between fibrotic burden and sports level or training duration. LA fibrotic burden was significantly higher in participants who competed in long-distance mountain bike races versus participants who did not (7.3% [4.1-9.5] vs. 2.0% [0.5-5.6], p = 0.03). This study demonstrates the limited amount of LA fibrosis in lifelong master endurance athletes, with uneven distribution along the LA wall, most notably around the posterior side of the left inferior pulmonary vein. Participants engaged in long-distance mountain bike races exhibited significantly higher LA fibrotic burden, underscoring the potential impact of specific sports disciplines on LA remodeling, which may play a role in AF development.

Previous studies reporting lower skeletal muscle mitochondrial function in type 1 diabetes did not account for cardiorespiratory fitness, a key confounder when assessing mitochondrial function. We hypothesised that, compared with healthy individuals, muscle mitochondrial phenotypic differences would be abolished in individuals with type 1 diabetes when matched for age, sex, BMI and maximal oxygen uptake (V ˙ O 2max ).

Seventeen individuals with type 1 diabetes and seventeen healthy control individuals matched for age, sex, BMI andV ˙ O 2max participated and underwent a muscle biopsy from the vastus lateralis. Mitochondrial respiration was assessed by high-resolution respirometry, and mitochondrial density and morphology were assessed by transmission electron microscopy.

V ˙ O 2max (individuals with type 1 diabetes 40±10 kg-1 min-1; control individuals 41±8 ml kg-1 min-1; p=0.51) and mitochondrial oxidative phosphorylation capacity (individuals with type 1 diabetes 101±35 [pmol O2] s-1 mg-1; control individuals 99±23 [pmol O2] s-1 mg-1, p=0.82) did not differ between groups. Both intermyofibrillar (individuals with type 1 diabetes 6.07±2.16%; control individuals 6.01±1.11%; p=0.92) and subsarcolemmal (individuals with type 1 diabetes 18.70±8.16%; control individuals 19.29±7.36%; p=0.83) mitochondrial densities were not different between groups. Mitochondrial respiration normalised by density did not differ between groups. However, individuals with type 1 diabetes and higher HbA1c displayed lower rates of mitochondrial respiration than those with lower HbA1c, whereas those with higher BMI displayed lower mitochondrial densities than those with lower BMI.

Collectively, our study demonstrates that when matched for age, sex, BMI andV ˙ O 2max , maximal muscle mitochondrial respiration and morphology in people with type 1 diabetes are not impaired. These findings highlight the importance of habitual exercise, optimal glucose management and a healthy BMI in maintaining mitochondrial health in individuals with type 1 diabetes.

The COVID-19 pandemic has notably disrupted K-12 education globally, significantly impacting physical education and student health outcomes. This qualitative study investigates how the pandemic affected student physical fitness, motivation, and equitable access to fitness opportunities, particularly from the perspective of physical education teachers. Guided by the Social Ecological Model, the research addresses how intrapersonal, interpersonal, organizational, community, and policy factors collectively influenced student physical fitness outcomes post-pandemic.

A phenomenological methodology was employed, utilizing semi-structured interviews conducted via Zoom with eleven K-12 physical education teachers in Ventura County, Southern California. Participants were selected using criterion sampling, targeting educators experienced in teaching before, during, and after the pandemic. Thematic analysis with initial in vivo coding was used to authentically capture participant perspectives, supported by strategies like peer debriefing and member checking to enhance analytical rigor.

Findings highlighted significant declines in student physical fitness post-pandemic, including reduced endurance, flexibility, and strength, accompanied by increased sedentary behaviors. Teachers reported pronounced decreases in student motivation and engagement, with heightened resistance to structured physical activities. Socioeconomic disparities deepened, disproportionately impacting economically disadvantaged students' access to fitness opportunities and nutrition. Additionally, physical education experienced systemic undervaluation, resulting in inadequate resources, inconsistent policy enforcement, and difficulties in accurately assessing students' fitness levels.

This study underscores the urgent necessity for systemic reforms to rejuvenate physical education programs and promote equitable health outcomes. Recommendations include increased funding, improved facilities, reduced class sizes, consistent policy enforcement, and enhanced administrative support.

Cardiovascular diseases (CVDs) are the leading cause of morbidity and premature mortality globally. While the relationship between indicators of physical fitness and arterial structure and stiffness are reasonably well-studied in adults, these associations in children and adolescents remain less understood. The aim of this study was to investigate longitudinal associations of cardiorespiratory fitness, muscular fitness and motor fitness with arterial structure and stiffness from childhood to adolescence.

Higher mean value of VO2peak/LM from childhood to adolescence was associated with higher carotid intima-media thickness (cIMT) at 8-year follow-up (β = 0.184, 95% confidence interval [CI] = 0.019 to 0.350). Better performance in sit-up test at baseline was associated with lower cardio-ankle vascular index (CAVI) (β = - 0.219, 95% CI = - 0.387 to - 0.051) at 8-year follow-up, and higher mean sit-up performance from baseline to 8-year follow-up was associated with lower carotid-femoral pulse-wave velocity (cfPWV) (β = - 0.178, 95% CI = - 0.353 to - 0.003) and CAVI (β = - 0.190, 95% CI = - 0.365 to - 0.016) at 8-year follow-up. Also cross-sectionally, better sit-up performance at 8-year follow-up was associated with lower cfPWV (β = - 0.232, 95% CI = - 0.411 to - 0.054) and CAVI (β = - 0.185, 95% CI = - 0.365 to - 0.005) and higher carotid artery distensibility (β = 0.165, 95% CI = 0.004 to 0.327) at 8-year follow-up. Most of the associations were explained by body fat percentage (BF%).

Physical fitness had a weak if any association with indicators of arterial structure and arterial stiffness in adolescence. BF% largely explained the associations of higher VO2peak/LM with higher cIMT and better sit-up performance with lower arterial stiffness in adolescents. Therefore, preventing adiposity rather than improving CRF should be addressed in public health strategies to prevent CVDs in general paediatric populations.

Better sit-up performance was associated with lower arterial stiffness, but the association was largely explained by body fat percentage. Lower body muscular strength, handgrip strength, or motor fitness was not associated with arterial stiffness or carotid artery intima-media thickness. Measures other than cardiorespiratory fitness, muscular fitness, or motor fitness, such as adiposity, should be used to screen children and adolescents at increased risk of cardiovascular diseases.

BackgroundA high level of physical activity (PAL) is necessary for the safety performance of police officers.ObjectiveTo evaluate the PAL, quality of life (QoL), and cardiorespiratory fitness (CRF) of Civil Police Officers (PO) of Brazil, in association with gender and career time.MethodsWe evaluated 55 PO (50.9% male), with a median age of 40 and a BMI of 25.7 kg/m2. Descriptive analysis and associations with gender and career time (G1: longer/G2: shorter) were carried out. PAL was evaluated by the IPAQ-short version. QoL and CRF were estimated using the WHOQOL and Jackson questionnaires. The chi-square test was used for associations; the odds ratio was calculated with a 95% confidence interval (95%CI) to express the strength of the association.ResultsThere was a proportion of 72.7% (95% CI:69.0-91.0%) of active PO, with a trend for a higher proportion among women and G2 (p = 0.07/0.08), respectively. Only 36.4% of PO (95% CI:24.0-49.0) achieved the minimum CRF required for career entry, with G1 showing a lower proportion than G2 (p < 0.01) and a lower chance of achieving the recommended CRF (OR: 0.03 / 95% CI:0.01-0.17). The median QoL was >70 points in three of the four evaluated domains, with G2 showing higher scores than G1 in the physical domain (p = 0.02).ConclusionMore than two-thirds of the PO assessed achieved the PA recommendations for health, but the majority had a CRF below the recommended. The median QoL was good in 3 of the four WHOQOL domains. Women and those with less carrier time had higher QoL, PAL, and CRF.

the FM/FFM ratio has been proposed as a new body composition variable. However, the association between FM/FFM ratio and physical function in older adults remains limited. Therefore, the aim of this study was to analyze the association between FM/FFM ratio and muscle strength, static balance, and exercise capacity in older adults.

this was a cross-sectional study involving 392 older adults from Londrina, Brazil. Subjects underwent body composition analysis by bioelectrical impedance, and assessments for aerobic capacity, muscle strength and static balance including the 6-minutes walking test, handgrip strength and one-legged stance test. Statistical analysis was conducted using correlation tests and lineal regression models adjusted for age and gender. The statistical significance considered was p < 0.05.

a total of 392 older adults participated (mean age = 69.77 years; women: 74.7 %). The FM/FFM ratio was significantly associated with muscle strength (β = -22.779, 95 % CI: -26.741 to -18.818; p < 0.001), static balance (β = -14.335, 95 % CI: -19.980 to -8.690; p < 0.001), and exercise capacity (β =-98.937, 95 % CI: -152.286 to -45.588, p < 0.001). After adjusting for age and gender, FM/FFM ratio was an important predictor of muscle strength (β = -4.687, 95 % CI: -8.646 to -0.728; p = 0.020) and static balance (β = -18.361, 95 % CI: -24.943 to -11.778; p < 0.001).

the FM/FFM ratio is an important clinical measure of body composition that is significantly associated with key indicators of physical performance, including muscle strength, static balance, and exercise capacity in older adults.

Communities are the main places where the public spend their daily activities, and suitable community environments can help improve their subjective well-being. However, there is still limited evidence on how fitness environments in communities affect the public's subjective well-being. In recent years, Chinese governments have been created the 15-min fitness circle in communities to provide the public with convenient fitness facilities and venues. Whether this policy is effective in improving the public's subjective well-being and the mechanisms that how this policy affects it has not been fully explored. To answer this question, we further focus on the mediating role of sports participation between the 15-min fitness circle and public subjective well-being.

This study utilizes data from the 2021 China General Social Survey (CGSS) to integrate the 15-min fitness circle, public sports participation, and subjective well-being into a unified analytical framework. A three-step regression model was used to analyse their relationship and the mediating effect of sport participation. And SPSS Macro PROCESS was used to test the robustness of their mediating effects.

Our research findings indicate the following: (1) the 15-min fitness circle has a significant positive predictive effect on the subjective well-being of the Chinese public (β = 0.080, p < 0.001), (2) The 15-min fitness circles have a significant positive impact on sports participation (β = 0.234, p < 0.001), and (3) sports participation serves as a crucial mediator in the relationship between the 15-min fitness circle and subjective well-being [Bootstrap 95% CI: 0.008, 0.019].

The study concludes that community fitness facilities are of great relevance in improving the subjective well-being of the public. The results of the study provide empirical support for the rationalization of the 15-min fitness circle in China, and provide theoretical and practical references for other developing countries in exploring ways to improve the subjective well-being of the public.

Both cardiorespiratory fitness (CRF) and obesity have been well-established as predictors of cardiometabolic risk and mortality. This study sought to investigate the joint association of CRF and adiposity measures with all-cause and cardiovascular (CVD) mortality in a cohort of patients with stable CVD.

Data were extracted from the ITER registry. The sample was composed of 2860 cardiac patients involved in an exercise-based secondary prevention program between 1997 and 2023. Patient CRF was estimated using the 1-km treadmill walking test, and measures of body mass index (BMI) and predicted body fat percentage (pBF%) were determined. Cox proportional hazard models were used to determine associations with mortality. All results were adjusted for demographic and clinical confounders.

A total of 1034 deaths (463 of CVD) occurred over a median of 11 years. Each of the fitness-fatness combinations was associated with an increased risk of mortality as compared with normal weight-fit or low pBF%-fit groups. As regards BMI, compared to the reference group, higher mortality risks were observed for overweight-unfit (HR = 1.93: 95% CI, 1.55-2.41; P < .0001), and obese-unfit patients (HR = 1.63: 95% CI, 1.28-2.08; P < .0001). Similar magnitudes were detected in the moderate pBF%-unfit (HR = 2.47: 95% CI, 1.99-3.06) and high pBF%-unfit (HR = 2.07: 95% CI, 1.69-2.54; P < .0001) groups. A similar pattern was observed for CVD mortality.

While overweight and obesity have been associated with an increased risk of death, maintaining CRF can mitigate this risk. These findings support the fundamental role of CRF in exercise assessment and prescription in secondary prevention programs.

The Non-Exercise Estimated Cardiorespiratory Fitness (NEE-CRF) method has gained attention in recent years due to its simplicity and effectiveness. Hypertension and all-cause mortality are significant public health issues worldwide, highlighting the importance of exploring the association between NEE-CRF and these two conditions.

The data from the National Health and Nutrition Examination Survey (NHANES) and the China Health and Retirement Longitudinal Study (CHARLS) were utilized to validate the association between NEE-CRF and hypertension as well as all-cause mortality. NEE-CRF was calculated using a sex-specific longitudinal non-exercise equation. To investigate the relationship between hypertension and all-cause mortality, multivariable regression analysis, generalized additive models, smooth curve fittings, and threshold effect analysis were employed. Logistic regression was used for hypertension analysis, while Cox proportional hazards regression was applied for all-cause mortality. Additionally, we conducted stratified analyses and interaction tests among different groups.

In the NHANES, after fully adjusting for covariates, each unit increase in NEE-CRF was associated with a 24% reduction in the risk of hypertension (OR: 0.76, 95% CI: 0.74-0.78) and a 12% reduction in the risk of all-cause mortality (HR: 0.88, 95% CI: 0.79-0.86). Subgroup analyses showed that the relationship between NEE-CRF and both hypertension and all-cause mortality remained negatively correlated across different subgroups. The negative association was also validated in the CHARLS.

Higher NEE-CRF levels may reduce the risk of developing hypertension and all-cause mortality.

This systematic review and meta-analysis aims to comprehensively evaluate the effects of hypoxic training (HT) versus normoxic training (NT) on cardiometabolic health parameters in overweight or obese adults. Searches were performed in PubMed, Web of Science, Embase, Scopus, and the Cochrane Library. A meta-analysis was performed using Stata 18 and RevMan 5.4 software. Seventeen randomized controlled studies involving 517 participants were included. HT significantly improved cardiorespiratory fitness (CRF) and reduced systolic blood pressure (SBP) and diastolic blood pressure (DBP). Compared with NT, HT demonstrated a significant difference in CRF, but no significant differences were observed in SBP and DBP. The subgroup analysis of CRF revealed that HT significantly outperformed NT in six aspects: participants aged < 45 years (Hedges' g = 0.50), an intervention duration of 8 weeks (Hedges' g = 0.43), three sessions per week (Hedges' g = 0.40), each session lasting < 45 min (Hedges' g = 0.23), FiO2 levels > 15% (Hedges' g = 0.69), and high-load-intensity exercise (Hedges' g = 0.57). HT demonstrated favorable effects in improving cardiometabolic health among overweight or obese adults. Compared with NT, this advantage was primarily reflected in CRF while the impacts on SBP and DBP were similar.

Objective: Working physical activity, physical fitness and energy intake were studied for their effect on all-cause mortality and age at death in residential cohorts followed-up for 61 years. Material and Methods: There were two residential cohorts of middle-aged men examined in 1960 with a total of 1712 subjects, and three indexes were measured, i.e., physical activity by a questionnaire (three classes-sedentary, moderate, vigorous: Phyac), physical fitness, estimated by combining arm circumference, heart rate, and vital capacity by Principal Component Analysis, whose score was divided into three tertile classes (low, intermediate, and high: Fitscore), and energy intake in Kcalories, estimated by dietary history divided into three tertile classes (low, intermediate, high: Calories), plus five traditional cardiovascular risk factors (age, cigarette smoking, body mass index, systolic blood pressure, and serum cholesterol). Cox models were used to predict all-cause mortality as a function of those adjusted indexes. Multiple linear regression models were used to predict age at death as a function of the same co-variates and a larger number of them. At the 61-year follow-up, 1708 men had died. Results: There were large correlations across the three indexes. Prediction of all-cause mortality showed the independent and complementary roles of the three indexes to all be statistically significant and all protective for their highest levels. However, the Fitness score outperformed the role of Phyac, while the role of Calories was unexpectedly strong. The same outcome was found when predicting age at death, even in the presence of 25 covariates representing risk factors, personal characteristics, and prevalent major diseases. Conclusions: Working physical activity, a score of physical fitness and energy intake, seems directly related to lower all-cause mortality and to higher age at death, thus suggesting a large part of independence.

Exercise and fitness quantification is increasingly recognized as a critical component in clinical practice, particularly within preventive cardiology. In this article we explore the multifaceted importance of exercise quantification in clinical settings, addressing preventive care, cost-effectiveness, psychosocial benefits, treatment planning, and monitoring progress. Quantifying exercise habits allows clinicians to evaluate risk profiles, prescribe tailored interventions, and monitor patient progress. The methodologies for exercise quantification are discussed. In preventive cardiology, adherence to guidelines from organizations such as the American Heart Association, the European Society of Cardiology, and the Canadian Cardiovascular Society is emphasized, with particular focus on high-intensity interval training and the central role of physical therapists/kinesiologists. Special populations, such as weekend warriors, those reflecting the "fat and fit" concept, athletes, and those at risk of overtraining syndrome, are considered in prescribing exercise. Future directions in exercise and fitness quantification include the integration of advanced wearable technology, personalized medicine, telemedicine, and promotion of active, walkable communities. The incorporation of behavioral science is highlighted as a missing component that can enhance long-term adherence to exercise regimens through motivation, behavior change techniques, patient-centered approaches, and continuous monitoring and feedback. This comprehensive approach aims to optimize cardiovascular health and overall well-being through individualized, evidence-based exercise interventions that are both effective and sustainable.

Adherence to healthy behaviors initiated or adapted during cardiac rehabilitation (CR) remains a significant challenge, with few patients meeting guideline standards for secondary prevention. The use of mobile health (mHealth) interventions has been proposed as a potential solution to improve adherence to healthy behaviors after CR. In particular, app-based interventions have shown promise due to their ability to provide monitoring and feedback anytime and anywhere. Growing evidence supports the use of apps in post-CR settings to enhance adherence. In 2020, we demonstrated that individualized follow-up via an app increased adherence to healthy behaviors 1 year after CR. However, it remains uncertain whether these effects persist once the follow-up is discontinued.

This study aims to evaluate the long-term effects of individualized follow-up using an app, assessed 4 years after the intervention.

A single-blinded multicenter randomized controlled trial was conducted. Patients were recruited from 2 CR centers in eastern Norway. The intervention group (IG) received individualized follow-up through an app for 1 year, while the control group (CG) received usual care. After the 1-year follow-up, the app-based follow-up was discontinued for the IG, and both groups were encouraged to maintain or improve their healthy behaviors based on their individual risk profiles. The primary outcome was the difference in peak oxygen uptake (VO2peak). The secondary outcomes included exercise performance, body weight, blood pressure, lipid profile, exercise habits, health-related quality of life, health status, cardiac events, and physical activity. Linear mixed models for repeated measurements were used to analyze differences between groups. All tests were 2-sided, and P values ≤0.05 were considered statistically significant.

At the 5-year follow-up, 101 out of the initial 113 randomized participants were reassessed. Intention-to-treat analyses, using a mixed model for repeated measurements, revealed a statistically significant difference (P=.04) in exercise habits in favor of the IG, with a mean difference of 0.67 (95% CI 0.04-1.29) exercise sessions per week. Statistically significant differences were also observed in triglycerides (mean difference 0.40, 95% CI 0.00-0.79 mmol/l, P=.048) and walking (P=.03), but these were in favor of the CG. No differences were found between the groups for other evaluated outcomes.

Most of the benefits derived from the app-based follow-up diminished by 4 years after the intervention. Although the IG reported statistically significantly higher levels of exercise, this did not translate into improved VO2peak or exercise performance. Our study highlights the need for follow-up from health care providers to enhance adherence to healthy behaviors in the long term following CR.

ClinicalTrials.gov NCT03174106; https://clinicaltrials.gov/ct2/show/NCT03174106 (original study protocol) and NCT05697120; https://clinicaltrials.gov/ct2/show/NCT05697120 (updated study protocol).

Cardiorespiratory fitness (CRF) declines with age, and greater declines increase the risk for adverse health outcomes. Understanding factors that attenuate age-related decreases in CRF can help extend healthy life. We sought to determine the longitudinal associations of aerobic physical activity, muscle-strengthening activity (MSA), and adiposity with CRF.

Study participants were enrolled in the Cooper Center Longitudinal Study and had three or more preventive medical examinations at the Cooper Clinic (Dallas, Texas) during 1987-2019. Aerobic activity and MSA were self-reported, and three measures of adiposity were clinically assessed: body mass index (BMI), body fat percentage, and waist circumference. CRF, expressed as metabolic equivalents (METs), was estimated by a maximal treadmill test. The longitudinal associations of aerobic activity, MSA, and adiposity with CRF were estimated using multivariable mixed linear regression models.

The study included 6105 participants who were followed for a median of 7.1 yr. Most participants were men (83.6%), and their average age at baseline was 47.0 (SD = 8.7) yr. Mean CRF at baseline was 12.2 (SD = 2.3) METs. Increasing aerobic activity (per 500 MET·min·wk -1 , β = 0.069, 95% confidence interval = 0.064-0.074 METs) or MSA (per days per week, β = 0.066, 95% confidence interval = 0.058-0.073 METs) was associated with increased CRF over time. Increasing BMI, body fat percentage, or waist circumference were each associated with decreased CRF over time.

These data offer longitudinal evidence on how changes in aerobic activity, MSA, and various measures of adiposity (beyond BMI) independently correlate with CRF over time. Healthy lifestyle behaviors that include increasing aerobic and MSA and limiting adiposity may positively influence the retention of fitness with age and improve downstream health outcomes.

Physical activity is protective against cardiovascular disease (CVD) and favorably improves CVD risk profile. However, more than 25 % of American adults report no participation in physical activity. Whole body electronic muscle stimulation (WB-EMS) training is a novel FDA-cleared technology which offers a time-efficient and adaptable method for physical training by simultaneously stimulating the main muscle groups using percutaneous electrical impulse transmission. Studies have demonstrated increased muscle mass, reduced fat mass, and improved functional capacity in sedentary individuals after training with WB-EMS, but studies evaluating the role of WB-EMS training on CVD risk profile are lacking.

We performed a pilot randomized controlled trial in healthy adults randomized to physical training with versus without WB-EMS for one session of 20 min duration per week across 16-weeks. Study participants were asked to perform their usual activities but to abstain from any strength training during the study. During each training session, all study participants wore a specifically designed vest and arm and leg straps that were connected with electrical wires to the WB-EMS device (Miha Bodytec Gersthofen, Germany). Biphasic electrical stimulation was delivered through the vest and straps (4 s on, 4 s off) at a frequency that elicited a score of 5 or 6 on the Borg rating of perceived exertion scale from study participants when each of the following muscle groups was stimulated: thighs, buttocks, lower back, upper back, latissimus dorsi, abdomen, chest and arms. These frequencies were 'titrated' during the first 4 weeks and were then fixed at each muscle group for each participant. Individuals randomized to no WB-EMS wore the same equipment but received no electrical stimulation. Physical training sessions were provided by personal trainers certified for WB-EMS training and consisted of a fixed number of exercises and repetitions. We measured and compared several clinically important cardiovascular parameters at baseline and post-intervention.

Seventy-eight participants were recruited between January 2021 and March 2022 with a mean age of 35.9 ± 11.2, 61.3 % females, median BMI 24.3 (21.8, 28.1); N = 46 were randomized to intervention group and N = 32 were randomized to the control group. Eighteen (23 %) participants dropped out of the trial, including 9 participants from the EMS arm (19.6 %), and 9 participants in control arm (28.1 %). There was no significant differences in the rate of dropping out of the WB-EMS and control groups (p = 0.27). Those in the intervention group compared to controls exhibited the following changes after 16-weeks of training: waist:hip ratio (∆ -0.03 ± 0.05, p = 0.01 vs. -0.01 ± 0.0, p = 0.1), peripheral endothelial function, measured using reactive hyperemia peripheral arterial tonometry (∆: 0.02 ± 0.1, p = 0.5 vs. -0.20 ± 0.3 p = 0.05), high-sensitivity C-reactive protein (∆: 0.06 ± 0.7, p = 0.3 vs. 0.20 ± 2.3 p = 0.02), total cholesterol (∆: -1.7 ± 25.1, p = 0.3 vs. 19.2 ± 26.5, p < 0.001), high density lipoprotein (∆: 2.02 ± 6.6, p = 0.2 vs. 3.6 ± 7.5 p = 0.01) and low density lipoprotein cholesterol (∆: 0.5 ± 26.7, p = 0.4 vs. 17.1 ± 23.2, p < 0.001).

Once weekly physical training with WB-EMS in healthy adults resulted in either improved or stable biomarkers of cardiovascular risk, which either remained stable or worsened in those undergoing conventional training alone. Thus WB-EMS may provide an effective and time-efficient form of physical training that may be considered in those unable or unwilling to perform exercise conventionally.

The association between physical fitness and autistic traits in adolescents remains under explored, especially in adolescents. Understanding this relationship can provide strategies to improve the quality of life of these people.

To identify the association between cluster characteristics derived from levels of self-perceived physical fitness and the occurrences of individual levels of autistic traits in Brazilian adolescents.

This descriptive study employed an analytical, quantitative approach involving 515 adolescents aged 11 to 18 (245 boys and 270 girls). Autistic traits were assessed using the Autism Quotient (AQ50), while physical fitness was measured with the Self-Reported Physical Fitness Questionnaire (QAPA). Cluster analysis using descriptive statistics with bootstrapping and generalized estimating equations was performed.

Boys reported higher physical fitness levels than girls, with significant differences in General Power Strength (QAPA 4) and Physical Fitness in Sports (QAPA 7). Girls scored slightly higher on social skills. AQ50 scores indicated that girls had higher aggregated difficulties in imagination, attention, communication, and social skills compared to boys. Higher self-perceived physical fitness was associated with lower levels of autistic traits in both genders. Girls with higher QAPA scores showed significant decreases in autistic traits related to social skills and overall AQ50 scores. Boys with higher physical fitness demonstrated reduced autistic traits in the domains of imagination and communication. Age-adjusted analyses confirmed these findings.

There is a significant association between self-perceived physical fitness and autistic traits in adolescents. Higher physical fitness levels are linked to fewer autistic traits, highlighting the importance of promoting physical fitness to mitigate challenges associated with autistic traits and improve adolescents' well-being.

Physical fitness and diet along with body weight are key determinants of health. Excess body weight, poor dietary choices, and low physical fitness, however, are becoming increasingly prevalent in adolescents. In order to develop adequate intervention strategies, additional research on potential interaction effects of these entities is needed. Therefore, this study examined the combined association of physical fitness and diet with body weight in Austrian adolescents.

A total of 164 (56% male) adolescents between 11 and 14 years of age completed the German Motor Test, which consists of eight items that assess cardiorespiratory endurance, muscular endurance and power, speed and agility, flexibility, and balance, along with body weight and height measurements. Additionally, participants completed a standardized food frequency questionnaire.

Spearman correlation analyses showed an inverse association between physical fitness and processed foods consumption (rho = -0.25, p < 0.01), while sweet consumption was positively associated with physical fitness (rho = 0.17, p = 0.03). No significant interaction effects between diet and physical fitness on body weight were observed. However, both higher physical fitness and greater sweet consumption were associated with lower body weight (p < 0.01).

The present study emphasizes the independent and combined interactions of key correlates of health. It also suggests that high fitness may offset detrimental effects of poor dietary choices. In order to address potential health risks early in life and facilitate future health and well-being, it is important to monitor and control physical fitness, diet, and body weight during adolescence.

Cardiorespiratory fitness (CRF) has been increasingly recognized in recent years as an important predictor of risk for adverse outcomes in numerous chronic conditions. In fact, a growing body of epidemiological and clinical evidence demonstrates that CRF is a potentially stronger predictor of mortality than established risk factors such as smoking, hypertension, hyperlipidemia, and type 2 diabetes. Moreover, adding CRF to these traditional risk factors significantly improves the reclassification of risk for adverse outcomes. The utility of CRF now extends far beyond all-cause and cardiovascular mortality to include the prevention and treatment of numerous other chronic conditions; CRF has been demonstrated to have a mitigating influence in as many as 40 such conditions. Herein we discuss the impact of CRF in the prevention of chronic disease in both adults and children. This discussion includes recent data on interactions between CRF and aging, obesity, statin use, incidence of diabetes, and the impact of CRF and physical activity patterns in adolescents including mental health, scholastic achievement, and cardiometabolic health. Finally, we discuss how CRF, as an essential vital sign, can be implemented in clinical practice.

Physical fitness has been extensively shown to strongly associate with general health status and major health risks. Here we tested the ability of a novel estimate of fitness age (FitAge) to differentiate aging trajectories.This study aimed at (1) testing the ability of FitAge to differentiate aging patterns among decelerated, normal, and accelerated agers in selected health domains, (2) estimating the risk for developing major health issues depending on the aging trajectory, and (3) comparing FitAge to body mass index (BMI) categorization in differentiating healthy from unhealthy aging patterns.A total of 176 volunteers participated in this cross-sectional study. Participants underwent clinical screening and a comprehensive assessment of body composition, nutritional and health-related status, cognitive functioning, and haematochemical analyses with routine tests, oxidative stress, and inflammation markers. Scores for major health risks were also computed.FitAge outperformed BMI in estimating major health risk scores and was able to differentiate decelerated from normal and accelerated agers for health risk profile and several physiological domains. Body composition, immune system activation, and inflammation markers emerged as those variables flagging the largest differences between decelerated and accelerated aging patterns.The novel estimate of biological aging can accurately differentiate both in women and men decelerated from accelerated agers in almost all the domains scrutinized. Overall, decelerated aging is linked to positively oriented features which associate with reduced risk of developing major health issues.The present findings have potential relevance and practical implications to identify individuals at higher risk of accelerated aging according to their FitAge estimated via simple and cost-effective motor tests.

To investigate the physical activity (PA) intensity associated with cardiometabolic health when considering the mediating role of cardiorespiratory fitness (CRF).

A subsample of males and females aged 50-64 years from the cross-sectional Swedish CArdioPulmonary bioImage Study was investigated. PA was measured by accelerometry and CRF by a submaximal cycle test. Cardiometabolic risk factors, including waist circumference, systolic blood pressure, high-density lipoprotein, triglycerides and glycated haemoglobin, were combined to a composite score. A mediation model by partial least squares structural equation modelling was used to analyse the role of CRF in the association between PA and the composite score.

The cohort included 4185 persons (51.9% female) with a mean age of 57.2 years. CRF mediated 82% of the association between PA and the composite score. The analysis of PA patterns revealed that moderate intensity PA explained most of the variation in the composite score, while vigorous intensity PA explained most of the variation in CRF. When including both PA and CRF as predictors of the composite score, the importance of vigorous intensity increased.

The highly interconnected role of CRF in the association between PA and cardiometabolic health suggests limited direct effects of PA on cardiometabolic health beyond its impact on CRF. The findings highlight the importance of sufficient PA intensity for the association with CRF, which in turn is linked to better cardiometabolic health.

This comprehensive review examines exercise as a therapeutic intervention for managing chronic diseases. It explores the physiological mechanisms behind physical activity's beneficial effects and its impact on various conditions, including cardiovascular disease, diabetes mellitus, obesity, and mental health disorders. Drawing from current literature and research findings, this review highlights how regular exercise significantly reduces mortality rates, improves disease outcomes, and enhances the overall quality of life for those with chronic illnesses. It discusses specific exercise recommendations for different conditions, emphasizing the importance of tailored physical activity programs. The review also addresses exercise's potential as a cost-effective and accessible treatment option, which may complement or, in some cases, reduce the need for pharmacological interventions. Ultimately, this review aims to equip healthcare professionals with a thorough understanding of exercise's therapeutic potential in chronic disease management, supporting the integration of physical activity into comprehensive treatment plans.

To investigate the effects of an 8-wk AHIIT-DWR intervention compared with land-based HIT training (LHIIT) on cardiometabolic health, cognitive, and psychological outcomes in inactive elderly women.

Seventy inactive elderly women aged 60 yr or above were randomly assigned into two groups: AHIIT-DWR and LHIIT. The AHIIT-DWR group engaged in DWR sessions comprising 30 min of interval training, consisting of ten 2-min exercise bouts at 80%-90% of their maximal heart rate (HR max ), with 1-min active recovery at 70% HR max between bouts, for two sessions per week, for 8 wk. The LHIIT group performed treadmill running at the same intensity.

Both groups showed similar cardiovascular fitness, maximal aerobic capacity (V̇O 2max ), HR max , and RER improvement ( P > 0.05), whereas AHIIT-DWR showed a significant improvement in aerobic capacity minute ventilation (V̇E), metabolic equivalents (METs), and O 2 pulse ( P < 0.05) over the 8-wk intervention. Both AHIIT-DWR and LHIIT significantly decreased triglycerides, total cholesterol, HDL, and LDL postintervention ( P < 0.05). No significant group differences were observed for cognitive function assessed by MMSE and MOCA ( P > 0.05). Both groups showed similar enjoyment levels, self-efficacy scores, and high adherence rates (>90%).

Our study suggests that AHIIT-DWR can elicit a similar improvement in cardiorespiratory health, metabolic blood markers, cognitive function assessed by MMSE and MOCA, and psychological responses as LHIIT in inactive elderly women.

The performance metric associated with the execution of the 1-min sit-to-stand (1STS) typically relies on the number repetitions completed in 1 min. This parameter presents certain limitations (e.g., ceiling effect, motivational factors) which can impede its interpretation. Introducing additional parameters, such as neuromuscular fatigability level, could enhance the informative value of the 1STS and facilitate its interpretation. This study aimed to assess (i) whether the 1STS induces fatigability and (ii) the reliability of the fatigability level.

Forty young, healthy, and active participants underwent the 1STS twice during the same session. Isolated sit-to-stand maneuvers were performed before, immediately, and 1 min after completing the 1STS. A mobile app was utilized to obtain time (STST), velocity (STSV), and muscle power (STSP) from these sit-to-stand maneuvers. The pre-post change in these parameters served as the fatigability marker. Reliability was assessed using the intra-class correlation coefficient (ICC) and the coefficient of variation (CV).

The mean number of repetitions during the 1STS was 63 ± 9. Significant decline in performance was observed for STST (13 ± 8%), STSV (-11.2 ± 6%), and STSP (-5.2 ± 3%), with more than 74% of participants exhibiting a decline beyond the minimal detectable change. Excellent between-session reliability (ICC ≥ 0.9; CV ≤ 5.3) was observed for the mobile app variables.

The 1STS induces significant levels of fatigability. The fatigability indicators derived from the mobile app demonstrated remarkable reliability. Utilizing this user-friendly interface for computing fatigability may empower professionals to acquire insightful complementary indicators from the 1STS.

To assess the association between cardiorespiratory fitness (CRF) and COVID-19-related health outcomes including mortality, hospitalization, and mechanical ventilation.

In a retrospective analysis of 750,302 patients included in the Exercise Testing and Health Outcomes Study, we identified 23,140 who had a positive result on COVID-19 testing between March 2020 and September 2021 and underwent a maximal exercise test in the Veterans Affairs Health Care System between October 1, 1999 to September 3, 2020. The association between CRF and risk for severe COVID-19 outcomes, including mortality, hospitalization due to COVID-19, and need for intubation was assessed after adjustment for 15 covariates. Patients were stratified into 5 age-specific CRF categories (Least-Fit, Low-Fit, Moderate-Fit, Fit, and High-Fit), based on peak metabolic equivalents achieved.

During a median of follow-up of 100 days, 1643 of the 23,140 patients (7.1%) died, 4995 (21.6%) were hospitalized, and 927 (4.0%) required intubation for COVID-19-related reasons. When compared with the Least-Fit patients (referent), the Low-Fit, Moderate-Fit, Fit, and High-Fit patients had hazard ratios for mortality of 0.82 (95% CI, 0.72 to 0.93), 0.73 (95% CI, 0.63 to 0.86), 0.61 (95% CI, 0.53 to 0.72), and 0.54 (95% CI, 0.45 to 0.65), respectively. Patients who were more fit also had substantially lower need for hospital admissions and intubation. Similar patterns were observed for elderly patients and subgroups with comorbidities including hypertension, diabetes, cardiovascular disease, and chronic kidney disease; for each of these conditions, those in the High-Fit category had mortality rates that were roughly half those in the Low-Fit category.

Among patients positive for COVID-19, higher CRF had a favorable impact on survival, need for hospitalization, and need for intubation regardless of age, body mass index, or the presence of comorbidities.

The relationship between sedentary lifestyle and chronic diseases is well known. This study examined the prevalence and factors associated with reduced physical activity (PA) among internal medicine inpatients on admission. In this single-center, cross-sectional study, inpatients aged 50 years or older were prospectively enrolled at a tertiary care facility in Ankara, Türkiye. PA was assessed using the International Physical Activity Questionnaire (IPAQ). Care and performance indicators, quality of life (EQ-5D 3L), nutritional status, timed up-and-go test, muscle strength, and cognitive status were assessed. Participants were classified into 3 groups of PA levels as low, moderate, and high. Study end points were the prevalence of low PA level and associated factors. Of the 240 participants (mean age: 62.7 ± 8.0 years; women: 50%), 47.1% (n = 113), 40.8% (n = 98) and 12.1% (n = 29) had low, moderate, and high PA, respectively. Type 2 diabetes mellitus (45.1%), hypertension (66.4%), coronary artery disease (41.6%), dementia (8.8%), and multimorbidity (53.1%) were more common in the low PA group. Outdoor walking < 3 days per week (OR: 4.44, 95% CI 1.55 to 12.74, p = 0.006, functional dependence in and outside home (OR: 4.25, 95% CI 1.13 to 15.92, p = 0.032) and EQ-5D VAS score (OR: 0.97, 95% CI 0.95 to 0.99, p = 0.011) were independently associated with low PA level on multivariable logistic regression analysis. This study found low or medium levels of PA in almost nine out of ten admissions to an internal medicine clinic. On the other hand, low PA level was not associated with most classical comorbidities but with altered performance and care indicators.

Cardiovascular disease (CVD) remains a leading cause of mortality and morbidity globally, particularly among older adults. In India, the rapid demographic transition has resulted in a significant increase in the aging population, necessitating a deeper understanding of the factors influencing CVD prevalence. This study examines the association between physical activity and the prevalence of CVD among individuals aged 60 and above.

This study utilized cross-sectional data from the LASI-Wave 1, comprising a nationally representative sample of 28,935 individuals. Logistic regression analysis was employed to investigate the relationship between physical activity and CVD. Population Attributable Factor (PAF) was calculated to determine the proportion of CVD cases preventable by recommended physical activity levels.

Adequate physical activity significantly lowered the risk of CVD by 28% (OR 0.72, 95% CI 0.67-0.78). Inadequate physical activity also showed a protective effect (OR 0.88, 95% CI 0.83-0.94) compared to those who were physically inactive. Other significant factors influencing CVD risk included age, sex, educational level, living arrangements, self-rated health status, body mass index, smoking habits, and multi-morbidity. The comparison between adequate physical activity levels and physically inactive shows a PAF estimate of 0.093 (95% CI: 0.071 - 0.114), indicating that 9.3% of cardiovascular disease cases could be prevented by increasing physical activity from inactive to adequate levels.

The findings highlight the significant role of physical activity in reducing CVD risk among older adults in India. Promoting regular physical activity through community-based programs and healthcare interventions could substantially lower the risk of CVD.

Job strain is a major concern in the workplace. Work-related stress is an increasing challenge worldwide as it is the leading cause of long-term sickness absences, disability pensions and lower productivity. Rarely studied simultaneously, both leisure-time physical activity (LTPA) and physical fitness (PF), which comprises cardiorespiratory fitness (CRF) and muscular fitness (MF), may have potential in preventing and managing job strain. The current study aimed to investigate whether LTPA, CRF and MF predict perceived job strain. In addition, the study examines reverse associations, that is, whether job strain predicts LTPA, CRF and MF. We used longitudinal population-based data from a Northern Finland birth cohort of 1966 (n = 5363) to analyse LTPA, CRF and MF as well as job strain and its components, job demands and job control, at age 31 years (1997) and 46 years (2012). Leisure-time physical activity was measured with a self-reported questionnaire whereas CRF and MF were measured as part of clinical examination. Linear regression analyses were used to analyse the data. In both men (n = 2548) and women (n = 2815), higher baseline MF predicted lower job strain and job demands 15 years later. In women, higher baseline total LTPA predicted higher job demands, whereas in men, higher CRF predicted lower job strain and higher job control. These associations remained significant, also when adjusted for education and occupational status. In the analyses on reverse associations, higher job control and higher job demands were linked to higher leisure-time moderate-to-vigorous physical activity (MVPA) and total LTPA 15 years later among both men and women, except for the association between job demands and total LTPA among women. These associations remained significant after adjustment for education and occupational status, except for the association of job control with MVPA and total LTPA among men. The association of higher job demands and total LTPA became significant in women. We conclude that LTPA and PF seem beneficial in preventing and managing job strain.

The aims of this study were to investigate the effects and mechanisms of physical exercise input, sports emotional intelligence, and sports self-efficacy on exercise adherence, and to examine the chain-mediating role of sports emotional intelligence→sports self-efficacy.

The Physical Exercise Input Scale, Exercise Adherence Scale, Sports Emotional Intelligence Scale, and Sports Self-Efficacy Scale were used to investigate 1390 college students in three universities in the Henan Province.

(1) Physical exercise input was a significant positive predictor of exercise adherence (β = 0.29, t = 5.78, p < 0.001); (2) sports emotional intelligence and sports self-efficacy mediated the relationship between physical exercise input and exercise adherence; (3) physical exercise input influenced exercise adherence through the separate mediating role of sports emotional intelligence (β = 0.10, t = 5.98, p < 0.001), the separate mediating role of sports self-efficacy (β = 0.13, t = 2.64, p < 0.01), and the chain mediating role of sports emotional intelligence→sports self-efficacy (β = 0.09, t = 2.80, p < 0.01).

(1) Physical exercise input can positively predict the level of sports emotional intelligence and sports self-efficacy of college students; (2) Physical exercise input can not only directly influence college students' exercise adherence but can also indirectly influence it through sports emotional intelligence or sports self-efficacy levels alone, as well as through the chain mediation of the two.

A study of the power of physical activity (Phyac) and physical fitness (Fitscore) in predicting very long-term all-cause mortality and age at death (AD) is missing.

A total of 5482 middle-aged men were examined with measurement of several risk factors and followed for 60 years until the virtual extinction of cohorts. Phyac in three classes was estimated from their type of work while Fitscore was derived from the linear combinations of levels of arm circumference, heart rate, and vital capacity computed as a factor score by principal components analysis. The predictive power of these characteristics (adjusted for five traditional cardiovascular risk factors) was made by Cox models (for all-cause mortality) and multiple linear regression models (for AD). Single levels of the three indicators of fitness were highly related to the three levels of Phyac and of Fitscore. High levels of both Phyac and of Fitscore forced into the same models were associated with lower all-cause mortality and higher AD. The predictive power of Fitscore was systematically better than that of Phyac. Hazard ratios (high vs. low) for all-cause mortality were 0.85 (Phyac) and 0.70 (Fitscore). The coefficients (all significant) were 2.25 years (Phyac) and 3.79 of AD by Fitscore. Fitscore was independently and significantly predictive of all-cause mortality for both the first and second 30-year follow-up periods.

Phyac and Fitscore are related, and both showed important predictive power for all-cause mortality and AD. The role of Fitscore was more powerful, and both characteristics seem to be expressions of health status.

Despite the effectiveness of cardiac rehabilitation (CR), the actual participation rate in CR is low. While home-based CR offers a viable alternative, it faces challenges in participation due to factors such as a lack of self-motivation and fear of exercising without supervision. Utilizing a mobile healthcare application (app) during counseling may be an effective strategy for patients. Therefore, the aim of this study was to assess whether 6 weeks of home-based CR with exercise readjustment using a mobile app is an effective therapy for patients with acute myocardial infarction (AMI).

Post-AMI patients eligible for home-based CR were randomized into the intervention group (CR-Mobile) and the control group, which followed the usual home-based CR protocol (CR-Usual). Both groups participated in a 6-week home-based CR program, with exercise readjustment and encouragement carried out every 2 weeks. The CR-Mobile group was supervised using data recorded in the mobile app, while the CR-Usual group was supervised via phone consultations. The primary outcome measured was maximal oxygen consumption (VO2max).

Within-group comparisons showed significant improvements in VO2max (PCR-Mobile = 0.011 vs. PCR-Usual = 0.020) and METs (PCR-Mobile = 0.011 vs. PCR-Usual = 0.011) for both groups.

These findings suggest that a 6-week home-based CR program with exercise readjustment using a mobile app can potentially enhance exercise capacity as effectively as verbal supervision.

There exist few maximal oxygen uptake (VO2max) non-exercise-based prediction equations, fewer using machine learning (ML), and none specifically for older adults. Since direct measurement of VO2max is infeasible in large epidemiologic cohort studies, we sought to develop, validate, compare, and assess the transportability of several ML VO2max prediction algorithms.

The Baltimore Longitudinal Study of Aging (BLSA) participants with valid VO2max tests were included (n = 1080). Least absolute shrinkage and selection operator, linear- and tree-boosted extreme gradient boosting, random forest, and support vector machine (SVM) algorithms were trained to predict VO2max values. We developed these algorithms for: (a) the overall BLSA, (b) by sex, (c) using all BLSA variables, and (d) variables common in aging cohorts. Finally, we quantified the associations between measured and predicted VO2max and mortality.

The age was 69.0 ± 10.4 years (mean ± SD) and the measured VO2max was 21.6 ± 5.9 mL/kg/min. Least absolute shrinkage and selection operator, linear- and tree-boosted extreme gradient boosting, random forest, and support vector machine yielded root mean squared errors of 3.4 mL/kg/min, 3.6 mL/kg/min, 3.4 mL/kg/min, 3.6 mL/kg/min, and 3.5 mL/kg/min, respectively. Incremental quartiles of measured VO2max showed an inverse gradient in mortality risk. Predicted VO2max variables yielded similar effect estimates but were not robust to adjustment.

Measured VO2max is a strong predictor of mortality. Using ML can improve the accuracy of prediction as compared to simpler approaches but estimates of association with mortality remain sensitive to adjustment. Future studies should seek to reproduce these results so that VO2max, an important vital sign, can be more broadly studied as a modifiable target for promoting functional resiliency and healthy aging.

Aims: Exercise interventions positively affect numerous cardiometabolic risk factors. To better evaluate the health effects of exercise training, it may be more appropriate to evaluate risk factors together. The Metabolic Syndrome Severity Score (MetSSS) is a composite score representing cardiometabolic risk. Purpose: To evaluate the relationships between physical activity, neuromuscular fitness, exercise capacity, and the MetSSS in a heterogenous sample of people with complex chronic disease. Material and Methods: Fifty-three people with kidney or liver disease and at least one feature of the metabolic syndrome (MetS) were included. Pearson correlations were conducted between physical activity, neuromuscular fitness, exercise capacity, and the MetSSS. Linear regressions were performed for multi-level categorical variables. Independent variables with an association with MetSSS (P ≤ 0.2) were included in a multiple regression analysis. Results: The 6-minute walk test (6MWT) distance was inversely and independently associated with MetSSS [standardized beta coefficient (β) = -0.31, P = 0.04]. No relationship was found between MetSSS and physical activity or neuromuscular fitness. Mean 6MWT in the highest tertile was 550 m (range: 505-620 m) and 346 m (range: 233-408 m) in the lowest. The analysis showed a medium-large between-group effect for the difference in MetSSS for the lowest and highest tertile of 6MWT [Eta squared (η2) = 0.16, P = 0.01]. Conclusions: Exercise capacity was inversely and independently associated with MetSSS in people with complex chronic disease. Clinical trials with exercise interventions are needed to further investigate if improvements in exercise capacity result in clinically significant changes in the MetSSS.

The prevalence of obesity has become a global health concern, with significant impacts on quality of life and mortality rates. Recent research has highlighted the role of ultra-processed foods (UPFs) in driving the obesity epidemic. UPFs undergo extensive processing, often containing high levels of sugars, fats, and additives, while lacking essential nutrients. Studies have linked UPF consumption to obesity and cardiometabolic diseases, underscoring the importance of dietary patterns rich in whole foods. Thus, the aim of this narrative review is to elucidate the correlation between ultra-processed foods and the increased trend of obesity and its related complications. These foods, prevalent in modern diets, contribute to nutritional deficiencies and excessive caloric intake, exacerbating obesity rates. Lifestyle factors such as busy schedules and quick meal management further drive UPF consumption, disrupting hunger regulation and promoting overeating. UPF consumption correlates with adverse health outcomes, including dyslipidemia, hypertension, and insulin resistance. Promoting whole, minimally processed foods and implementing school-based nutrition education programs are crucial steps. Also, numerous challenges exist, including unequal access to healthy foods, the industry's influence, and behavioral barriers to dietary change. Future research should explore innovative approaches, such as nutrigenomics and digital health technologies, to personalize interventions and evaluate policy effectiveness. Collaboration across disciplines and sectors will be vital to develop comprehensive solutions and improve public health outcomes globally.

Combined endurance and resistance training, also known as "concurrent training", is a common practice in exercise routines. While concurrent training offers the benefit of targeting both cardiovascular and muscular fitness, it imposes greater physiological demands on the body compared to performing each modality in isolation. Increased protein consumption has been suggested to support adaptations to concurrent training. However, the impact of protein supplementation on responses to low-volume concurrent training is still unclear. Forty-four untrained, healthy individuals (27 ± 6 years) performed two sessions/week of low-volume high-intensity interval training on cycle ergometers followed by five machine-based resistance training exercises for 8 weeks. Volunteers randomly received (double-blinded) 40 g of whey-based protein (PRO group) or an isocaloric placebo (maltodextrin, PLA group) after each session. Maximal oxygen consumption (VO2max) and overall fitness scores (computed from volunteers' VO2max and one-repetition maximum scores, 1-RM) significantly increased in both groups. The PRO group showed significantly improved 1-RM in all major muscle groups, while the PLA group only improved 1-RM in chest and upper back muscles. Improvements in 1-RM in leg muscles were significantly greater in the PRO group versus the PLA group. In conclusion, our results indicate that adaptations to low-volume concurrent training, particularly leg muscle strength, can be improved with targeted post-exercise protein supplementation in untrained healthy individuals.

This systematic review aimed to provide an overview of test protocols used to measure peak oxygen uptake (VO2peak) in adults with Down syndrome (DS) and to determine how generalisable the outcomes are for the entire population of adults with DS by describing the sample characteristics of these studies and their impact on VO2peak. A literature search (PROSPERO CRD42022309560) was performed (18 July 2023) using the following databases: PubMed, CINAHL, APA PsycINFO, Web of Science, Embase and SPORTDiscus. For articles to be included, they had to be peer-reviewed pubications, reporting VO2peak or VO2max for individuals with DS separately, with a sample of n ≥ 5 and a mean age ≥18 years. Systematic reviews and meta-analyses were excluded but their reference lists were searched for additional papers to include. Studies were evaluated for risk of bias following the guidelines of Kmet et al. The results were summarised with frequency statistics. Forty-three studies were included in this systematic review. Sample sizes of included adults with DS ranged from n = 4-226, with a total of n = 1498 adults with DS being included. Most studies (29/43) used the same standardised maximal exercise treadmill protocol to measure VO2peak in adults with DS, and 33 out of 43 studies used at least one objective criterion to determine a valid maximal effort. Participants were predominantly male, under 40 years old, and overweight or obese. Additionally, the diversity of study samples was lacking or not reported. The most widely used, standardised, maximal exercise test treadmill protocol is recommended for future use in research and practice, including objective criteria to determine valid maximal effort. The current study samples are not representative of the population of adults with DS in terms of sex, age and diverse backgrounds and therefore likely overestimate VO2peak of this population.

Determining maximum oxygen uptake (VO2max) is essential for evaluating cardiorespiratory fitness. While laboratory-based testing is considered the gold standard, sports watches or fitness trackers offer a convenient alternative. However, despite the high number of wrist-worn devices, there is a lack of scientific validation for VO2max estimation outside the laboratory setting.

This study aims to compare the Apple Watch Series 7's performance against the gold standard in VO2max estimation and Apple's validation findings.

A total of 19 participants (7 female and 12 male), aged 18 to 63 (mean 28.42, SD 11.43) years were included in the validation study. VO2max for all participants was determined in a controlled laboratory environment using a metabolic gas analyzer. Thereby, they completed a graded exercise test on a cycle ergometer until reaching subjective exhaustion. This value was then compared with the estimated VO2max value from the Apple Watch, which was calculated after wearing the watch for at least 2 consecutive days and measured directly after an outdoor running test.

The measured VO2max (mean 45.88, SD 9.42 mL/kg/minute) in the laboratory setting was significantly higher than the predicted VO2max (mean 41.37, SD 6.5 mL/kg/minute) from the Apple Watch (t18=2.51; P=.01) with a medium effect size (Hedges g=0.53). The Bland-Altman analysis revealed a good overall agreement between both measurements. However, the intraclass correlation coefficient ICC(2,1)=0.47 (95% CI 0.06-0.75) indicated poor reliability. The mean absolute percentage error between the predicted and the actual VO2max was 15.79%, while the root mean square error was 8.85 mL/kg/minute. The analysis further revealed higher accuracy when focusing on participants with good fitness levels (mean absolute percentage error=14.59%; root-mean-square error=7.22 ml/kg/minute; ICC(2,1)=0.60 95% CI 0.09-0.87).

Similar to other smartwatches, the Apple Watch also overestimates or underestimates the VO2max in individuals with poor or excellent fitness levels, respectively. Assessing the accuracy and reliability of the Apple Watch's VO2max estimation is crucial for determining its suitability as an alternative to laboratory testing. The findings of this study will apprise researchers, physical training professionals, and end users of wearable technology, thereby enhancing the knowledge base and practical application of such devices in assessing cardiorespiratory fitness parameters.

Objective: This study aimed to compare the effects of High-Intensity Interval Training (HIIT) and Moderate-Intensity Continuous Training (MICT) on glycemic control, beta-cell function, and aerobic fitness in women with Type 2 Diabetes Mellitus (T2DM). Methods: Thirty-six women with T2DM were assigned equally to HIIT, MICT, and control (CON) groups. Participants in the exercise cohorts underwent a 12-week training regimen (three sessions per week), while the CON group maintained an inactive lifestyle. Glycaemia variables, beta-cell function, maximal oxygen uptake (VO2max), lipid profiles, and body composition were assessed at baseline and post-intervention. Results: Both HIIT and MICT interventions led to significant improvements in glucose, insulin, HbA1c, and insulin resistance index. Moreover, visceral adiposity index (VAI), lipid accumulation product (LAP), total cholesterol (TC), and low-density lipoprotein (LDL) levels significantly decreased in the HIIT and MICT groups after 12 weeks. Triglyceride (TG) levels decreased only after MICT, while high-density lipoprotein (HDL) levels increased after both interventions. Maximal oxygen uptake (VO2max), body mass, body mass index (BMI), and waist circumference (WC) significantly improved in all exercise groups. Notably, the HIIT group showed greater reductions in body mass compared to MICT. Nevertheless, beta-cell function remained unaltered after these two exercise regimens. Conclusion: Both HIIT and MICT interventions effectively managed T2DM in women, regardless of exercise intensity. The HIIT regimen can be considered for time-efficient lifestyle interventions in people with T2DM.

To explore the effectiveness of smartphone-assisted home cardiac rehabilitation and whether it can be used as a remote detection method to promote home cardiac rehabilitation.

Four databases were searched to collect randomized controlled trials (RCTs) about smartphone-assisted cardiac rehabilitation. The Cochrane risk-of-bias tool was used to assess the methodological quality of the included studies. Two independent investigators performed the literature screening, information extraction, and risk of bias assessment. Any disagreements were resolved by a third investigator. Meta-analysis and systematic review were performed. Sensitivity analysis and subgroup analysis were carried out to explore the sources of heterogeneity.

A total of 14 RCTs involving 1962 patients were included. Meta-analysis showed that compared with conventional cardiac rehabilitation/usual care, smartphone-assisted cardiac rehabilitation significantly improved VO2peak in patients with cardiovascular disease (WMD= 1.32, 95%CI:0.82 to 1.81, p > 0.05) and enhanced their treatment compliance (RR = 1.62, 95%CI:1.21 to 2.17, p > 0.05). There were no significant differences in six-minute walk distance (WMD = 12.88, 95%CI:-0.82 to 26.57, p > 0.05), body mass index (BMI) (WMD=-0.14, 95%CI:-0.34 to 0.06, p > 0.05), life quality, psychological status, and other cardiovascular risks.

Smartphone-assisted cardiac rehabilitation showed significant improvement in exercise capacity and treatment compliance in patients with cardiac rehabilitation but did not improve BMI, quality of life, psychological status, or reduce other cardiovascular risks. Smartphone-based cardiac rehabilitation is increasingly used as a remote detection method for cardiac rehabilitation in middle-income countries, which provides new insights into home cardiac rehabilitation.

Interval-training is widely implemented among populations with obesity to decrease metabolic-disorders; however, high-intensity-interval-training (HIIT) has rarely been studied in severely obese adolescent girls. Therefore, the aim of this study was to compare the effects of 8 weeks of (HIIT) or moderate-intensity interval-training (MIIT), on cardiometabolic risk factors and hormonal-ratios in severely-obese-girls. For this aim, 35 female-adolescents (14.4 ± 1.4 years) were assigned randomly into HIIT (n = 12) and MIIT (n = 12), groups and a control group (CG, n = 11). Both training groups significantly improved (p < 0.05): the body-mass, body-mass-index (BMIp95), body-fat (BF%), waist-circumference (WC), mean-arterial-pressure (MAP), with a slight increase in the HIIT group. However, HIIT induced greater improvements on the maximal oxygen uptake (VO2MAX) and the speed related (24.7 and 11.8%) compared to MIIT. Higher improvements occurred in HIIT group related to leptin and adiponectin concentrations and the A/L ratio at (p < 0.001). In conclusion, the findings indicate that both HIIT and MIIT can positively influence body composition and cardio-respiratory fitness. Given the significant correlation noted between the A/L ratio, BMIp95, BF%, and MAP post-HIIT, this training modality may be considered a more advantageous approach over MIIT for mitigating cardio-metabolic issues in severely obese adolescent girls.

Aim: Ursolic acid (UA) has an important biological role in the fight against fat accumulation, insulin resistance, obesity and inflammation. Therefore, in the current review and meta-analysis work, we investigate the effects of UA (dosage range is 50.94 to 450 mg/day) on cardiometabolic risk factors. Materials & methods: After searching the studies up to February 2023, six articles were included in the study. Results: The pooled effect size showed that UA supplementation didn't significantly change body weight, body mass index, waist circumference, body fat percentage, lean body mass, systolic blood pressure, diastolic blood pressure, fasting blood glucose, insulin, triglyceride and high-density lipoprotein compared with control groups. Conclusion: UA supplementation had no significant effect on the cardiometabolic risk factors in adults.