High-intensity interval training vs. yoga in improving binge eating and physical fitness in inactive young females.

Yoga is effective in binge eating disorder (BED) treatment, but it does not seem effective enough to improve low physical fitness. In contrast, high-intensity interval training (HIIT) is effective in improving physical fitness but has never been studied in the context of BED. In the study, 47 young inactive females with mild to moderate BED were recruited and randomly assigned to a HIIT group (HIIT), a Yoga group (YG), or a control group (CG; age, 19.47 ± 0.74, 19.69 ± 0.874, and 19.44 ± 0.63 years; BMI, 21.07 ± 1.66, 21.95 ± 2.67, and 20.68 ± 2.61 kg/m2, respectively). The intervention groups participated in 8-week specific exercises, while the CG maintained their usual daily activity. Before and after the training, participants were evaluated for BED using the binge eating scale (BES) and for physical fitness. The obtained data were compared within groups and between groups, and a correlation analysis between BES and physical fitness parameters was performed. After the training, the YG presented significant improvements in BES (- 20.25%, p = 0.006, ηp2 = 0.408), fat mass (FM, - 3.13%, p = 0.033, ηp2 = 0.269), and maximal oxygen consumption (VO2max, 11.51%, p = 0.000, ηp2 = 0.601), whereas the HIIT showed significant improvements in body weight (BW, - 1.78%, p = 0.006, ηp2 = 0.433), FM (- 3.94%, p = 0.033, ηp2 = 0.285), and BMI (- 1.80%, p = 0.006, ηp2 = 0.428), but not in BES. Comparisons between groups revealed that both HIIT and YG had significantly higher VO2max levels than CG (HIIT 12.82%, p = 0.006, ηp2 = 0.088; YG: 11.90%, p = 0.009, ηp2 = 0.088) with no difference between HIIT and YG. Additionally, YG presented significantly lower BES than both HIIT (15.45%, p = 0.02, ηp2 = 0.03) and CG (11.91%, p = 0.022, ηp2 = 0.03). In conclusion, Yoga is an effective treatment for BED, but HIIT is not, despite its high efficacy in improving physical fitness.

Association between BMI and health-related physical fitness in adolescents with hearing impairment in China: a cross-sectional study.

Background: This cross-sectional study aimed to address a critical gap in the understanding of the association between body mass index (BMI) and physical fitness levels in adolescents with hearing impairment (HI) in China. This study investigated how different BMI levels impact the physical fitness index (PFI) of HI adolescents. Methods: This study employed a physical fitness test for HI adolescents attending special education schools. The test included eight components: height, weight, 50-m sprint, standing long jump, sit and reach, endurance run, bent-knee sit-up (for girls), and pull-up (for boys). Test scores for each student were standardized by age and gender. Individual Z-scores were then calculated, and the sum of these Z-scores constituted the PFI. Logistic regression was used to analyze the relationship between BMI and PFI across different gender and age groups. Statistical significance was set at P < 0.05. Results: The linear regression model showed an inverted U-shaped relationship between BMI and PFI. At the same BMI level, boys exhibited superior physical fitness compared to girls with the same BMI (P < 0.05). Statistically significant differences in PFI levels were observed between normal-weight and obese males, as well as between underweight and obese boys (P < 0.05). In the 13-15 and 16-18 age groups, the increase in BMI has a greater impact on boys PFI than on girls. Conclusions: Adolescents with HI generally demonstrated good physical fitness. Compared to individuals with normal weight, those who were underweight, overweight, or obese exhibited lower levels of physical fitness. Future interventions should focus on adolescents with HI with abnormal BMI.

THE EFFECT OF DIFFERENT FITNESS TRAINING PROGRAMS AND FREQUENCY ON HEALTH-RELATED QUALITY OF LIFE.

Physical and mental health play an important role in managing and characterizing a person's quality of life (QOL) and physical activity is proposed as one of the ways to improve QOL and well-being. This study aimed to quantify the effect of different fitness training programs and frequency on health-related quality of life (HRQOL). The percentage of participants with high levels of fitness is higher among men than women. There is an association between the level of PF activity and age. Аs expected, PF activity is lower in the elderly compared to the younger and middle-aged participants. From the HRQOL domains, low general health and mental health scores. High and medium-frequency training can presumably help improve the total quality of life scores, as well as scores for Physical and Mental components, significantly affecting domains PF, GH, VT, RE and MH. To improve the SF domain, high-frequency training is preferable. These results can become important for the implementation of programs aimed at improving the HRQOL of the population.

UNDERSTAND THE CURRENT SITUATION OF STUDENTS' PHYSICAL FITNESS TEST AND MEASURES TO IMPROVE THEIR PHYSICAL FITNESS TEST SCORES.

Constitutional issues raised by college students have received increasing domestic attention. At the beginning of 2020, the COVID-19 epidemic caused students to take online classes at home, and their physical conditions worsened. The purpose of this study is to conduct a comparative analysis of the physical fitness test data collected in 2019 and 2020 year, identify existing problems, and explore feasible methods to improve the physical fitness test scores of college students. This article uses inspection, mathematical statistics, logical analysis and other methods to analyze and discuss the physical examination data of college students in 2019 and 2020 and analyze various data of university students. Specific events include height, weight, body mass index, 50 meters, cardio, long jump, Through research, analysis and suggestions aimed at improving the current students' weight and health status, we will promote the physical and mental health development of students and provide a systematic and scientific basis for student health intervention.

Impact of awareness of sports policies, school, family, and community environmental on physical activity and fitness among children and adolescents: a structural equation modeling study.

BACKGROUND: Understanding the impact of environmental factors on physical activity (PA) and physical fitness (PF) is crucial for promoting a healthy lifestyle among children and adolescents. This study examines how awareness of sports policies, school, family, and community environments influence PA and PF in Chinese youth. METHODS: A cross-sectional study was conducted with 2747 children and adolescents (mean age 12.90 ± 2.49; 48.2% male) from 17 schools across five Chinese cities. Environmental factors were assessed via questionnaires, and PA levels were measured using the International Physical Activity Questionnaire-Short Form (IPAQ-SF). PF metrics, including BMI, waist-to-height ratio, grip strength, vertical jump, and 20-m shuttle run test (20-mSRT), were measured onsite. Structural Equation Modeling (SEM) was used to explore relationships between environmental factors and PA/PF outcomes. RESULTS: The school environment scored highest (78.0 ± 9.5), while the community environment scored lowest (38.7 ± 18.0). Family environment positively influenced low-intensity PA (LPA) (ß = 0.102, P < 0.001) but negatively affected moderate-to-vigorous PA (MVPA) (ß = -0.055, P = 0.035). Community environment and awareness of sports policies positively impacted MVPA (ß = 0.216, P < 0.001; ß = 0.072, P = 0.009, respectively). Family environment positively influenced BMI reduction (ß = -0.103, P < 0.001) but negatively affected grip strength (ß = -0.063, P = 0.018). Community environment improved grip strength and 20-mSRT performance (ß = 0.088, P = 0.002; ß = 0.065, P = 0.027). CONCLUSIONS: School environments, despite high scores, do not significantly impact PA and PF. Community environments, though scoring lower, positively affect MVPA, grip strength, and 20-mSRT. Awareness of sports policies boosts MVPA, while family environments support LPA and BMI but are inversely related to MVPA and grip strength. Integrated strategies involving community infrastructure, family support, and policy awareness are essential for promoting active lifestyles among children and adolescents.

Effects of birth weight on body composition, physical fitness, and sarcopenia assessments in young Japanese women.

This study examined the effects of birth weight on body composition, physical fitness, and sarcopenia in adulthood among young Japanese women. Seventy young adult women (birth weight <2500 g classified as low-birth-weight group [L-BW, n = 13] and ≥2500 g classified as not low-birth-weight group [NL-BW, n = 57]) were evaluated for body composition, physical fitness, and sarcopenia. Skeletal muscle mass was significantly greater (p<0.05) in the NL-BW group than in the L-BW group for all body sites. Effect sizes for the differences in skeletal muscle mass between the two groups were all larger in the NL-BW group than in the L-BW group (0.86-1.44). Knee extension muscle strength was higher in the NL-BW group than in the L-BW group (p = 0.04), but there were no differences between groups with respect to other physical fitness indicators (p>0.05). Except for SMI (p<0.05), other sarcopenia diagnostic evaluations did not differ between the two groups (p>0.05). In conclusion, L-BW female infants were shorter in standing height and smaller in skeletal muscle mass in terms of morphology at the time of young adulthood compared to NL-BW female infants. In addition, in terms of physical fitness, those with L-BW also had a lower-limb power score and a higher proportion of low skeletal muscle mass. Thus, it was suggested that low birth weight infants may be at risk of needing nursing care in old age (i.e., a high predicted incidence of sarcopenia) as well as thinness problems in the fertile generation.

Benefits of inclusive sport training on fitness and health of athletes with and without intellectual disability.

Sedentary behaviours in adults with intellectual disabilities (ID) negatively impact health-related determinants and increase the risk of physical dysfunction or chronic health issues. Inclusive sport practice can enhance social inclusion and fitness, benefiting overall person development and life quality. This study aimed to assess fitness level variation in athletes with and without ID before and after a 9-month inclusive (INC) and non-inclusive (N_INC) basketball training. 38 athletes with ID and 14 athletes without ID belonged to INC group, 38 athletes with ID belonged to N_INC group and 23 participants with ID belonged to the control group (CG). Before and after the intervention period, all participants performed anthropometric (body weight, body mass index, body fat percentage) and fitness tests (muscle strength and power, cardiovascular endurance, balance, flexibility, agility, movement speed, and coordination). ID and non-ID athletes of both INC and N_INC groups significantly improved in most of the tests (weight, balance, flexibility, muscle strength, endurance, agility, movement speed and coordination) while CG group significantly worsened weight, muscle endurance, flexibility, agility, movement speed and coordination, after the intervention (p < 0.05). These findings showed that sport training improved fitness in athletes with ID, decreasing health risks. Moreover, involving in the same training group persons with and without disabilities, does not limit the beneficial effects that training induce on persons without ID and could be a valid way to promote both social inclusion and physical health of persons with ID.

Physical fitness components are bone mineral density predictors in adulthood: cross-sectional study.

BACKGROUND: Health-related physical fitness (HRPF) attributes are considered important markers beneficial to various health outcomes. However, the literature is divergent regarding HRPF and bone health in adulthood, especially due to the end of the second and beginning of the third decades of life when the peak bone mass period occurs. OBJECTIVE: To analyze which HRPF variables are areal bone mineral density (aBMD) predictors in adult males and females. METHODS: This study evaluated 137 healthy young adults aged 18-25 years (50% males). Dual-energy X-ray absorptiometry (DXA) was used to estimate fat mass and lean mass and aBMD, hand grip strength test, sit-ups test, flexibility test, lower limb muscle strength and 20-meter run were used to evaluate physical fitness. Multiple linear regression using the backward method was used to analyze bone mineral density predictors by sex. RESULTS: HRPF indicators showed correlations from R = 0.28 in the right femoral neck aBMD to R = 0.61 in the upper limbs aBMD in males; in females, correlations from R = 0.27 in total body aBMD to R = 0.68 in the lower limbs aBMD were found. In males, body mass and HRPF indicators were aBMD predictors with HRPF indicators explaining variance from R²=0.214 in the lumbar spine to R²=0.497 in the upper limbs, and in females, with the exception of the lumbar spine, variance from R²=0.237 in the right femoral neck aBMD to R²=0.442 in the lower limbs aBMD was found. CONCLUSION: Health-related physical fitness components were able to predict aBMD in different anatomical regions in young adults, especially muscle strength and cardiorespiratory fitness indicators for males, while only lean mass and fat mass for females.

Effects of different levels of physical activity on arterial stiffness and physical fitness performance in firefighters.

Background: Firefighters have lower levels of physical activity while on call. It is critical to understand the impact of firefighters' physical activity on arterial stiffness. This study classified groups by physical activity level and combined peripheral vascular monitor measurement to explore the relationships between the level of physical activity and cardiovascular (CV) risk and physical fitness (PF) of firefighters, as well as the acute response to arterial stiffness (AS) following maximal aerobic exercise test (MAET) intervention. Methods: The International Physical Activity Questionnaire (IPAQ) was used to classify the participants into 3 groups: low, moderate, and high level of physical activity group, respectively. A total of 36 participants were recruited, 12 in each group. Participants were assessed for body composition, rest brachial-ankle pulse wave velocity (baPWV), handgrip strength (HGS), maximal oxygen uptake (V̇O2max), and MAET baPWV. Results: In the three groups, significant differences were observed in V̇O2max, HGS, relative fat mass (%FM), body mass index (BMI), muscle mass ratio (MMR), and Rest baPWV (p < 0.05). After maximal aerobic exercise, the MAET baPWV values decreased significantly in all groups (all p < 0.001). Rest baPWV was significantly correlated with firefighters' age, seniority, metabolic equivalents (METs), height and muscle mass (MM) (p < 0.05). Conclusions: Firefighters with high levels of physical activity had better body composition and physical fitness and lower Rest baPWV. In all three groups, baPWV was lower after the MAET than before it. Therefore, regardless of a firefighter's level of physical activity, high-intensity aerobic exercise may have a beneficial effect on arterial stiffness.

Effect of post COVID-19 on body composition, physical fitness, sleep quality and quality of life among young adults: a cross-sectional study of matched pairs.

Background: Coronavirus 2019 (COVID-19) causes lung tissue inflammation, affects mental health, and disturbs sleep and the musculoskeletal system. This study aimed to investigate the effects of COVID-19 on physical function and quality of life by comparing the body composition, physical fitness, sleep quality and quality of life between Thai young adults with and without post COVID-19 infection. Methods: A cross-sectional study was comprised of two matched groups (post COVID-19 group and non COVID-19 group) with 36 participants in each group. Data about body composition, physical fitness, sleep quality and quality of life were collected using the bioelectrical impedance analysis, the 1-min sit-to-stand test, the hand grip strength test, the Pittsburgh sleep quality questionnaire and the EuroQol-5D-5L, respectively. Independent samples T-test, Mann-Whitney U test and Chi-square test were used to compare between the two groups. Results: The changes in oxygen saturation and respiratory rate after the physical fitness test and the sleep quality analysis showed a statistically significant difference between the groups with and without post COVID-19 infection (p = 0.006, p = 0.003 and p = 0.003, respectively). However, quality of life and body composition were not significantly different between groups. Conclusions: COVID-19 influenced the changes in oxygen saturation and respiratory rate after the physical fitness test and the sleep quality analysis in young adults. The results should be utilized to facilitate physical rehabilitation for COVID-19-infected individuals following infection. Those who have not been infected with COVID-19 must be informed of self-protection measures to avoid contracting the virus.

Effects of functional training on tennis-specific physical fitness and functional movement screen in junior tennis players.

OBJECTIVES: Functional training mimics the coordinated motions of multiple muscle groups and joints performed during exercise. The purpose of this study was to compare the effects of a 12-week functional training and traditional resistance training on the performance in junior tennis players. METHODS: Trained tennis players (mean age: 16.6 years) were assigned to a traditional training group (n = 20) or functional training group (n = 20). The traditional training group received a resistance training program by their coach, while the functional training group was given Santana's Racket Sport Program. At baseline, after six weeks, and after 12 weeks (T12), the participants' tennis-specific physical fitness and functional movement screen (FMS) were evaluated. RESULTS: At T12, both training improved the values for multistage fitness test, hexagon test, planned agility test, sit and reach, and 20 metre sprint (p < 0.05); except the flexibility, functional training provided no additional advantages. At T12, functional training enhanced (p < 0.01) all seven components of the FMS, and there is a 100% probability that the total score of the FMS would be enhanced. In contrast, for the traditional training group, shoulder mobility of the FMS decreased (p = 0.03), and there was no changes in other FMS components at T12. CONCLUSIONS: Functional training is not only effective in improving tennis-specific physical fitness, but it also provides greater functional movement advantages for junior tennis players compared to traditional resistance training.

Associations between physical fitness, body composition, and heart rate variability during exercise in older people: exploring mediating factors.

Background: Age-related changes in body composition affect physical fitness in older adults. However, whether the autonomic response is associated with body fat percentage and its implication for physical fitness is not fully understood. Aim: To understand the association between physical fitness, body composition, and heart rate variability in older people and its mediating factors. Methods: A cross-sectional study with 81 older adults was conducted, assessing Short Physical Performance Battery (SPPB), Two-minute Step Test (TMST), body composition, and cardiac autonomic response. Correlation and mediation analyses were performed. Results: Body fat percentage negatively correlated with physical fitness (SPPB: r =  - 0.273, p = 0.015; TMST: r =  - 0.279, p = 0.013) and sympathetic activity (sympathetic nervous system (SNS) index: r =  - 0.252, p = 0.030), yet positively correlated with parasympathetic tone (root mean square of successive differences (RMSSD): r = 0.253, p = 0.029; standard deviation of NN intervals (SDNN): r = 0.269, p = 0.020). Physical fitness associated with sympathetic nervous system index (SPPB: r = 0.313, p = 0.006; TMST: r = 0.265, p = 0.022) and parasympathetic nervous system index (TMST: r =  - 0.344, p = 0.003). Muscle mass mediated body fat's impact on physical fitness, while physical fitness mediated body fat's impact on autonomic response. Conclusion: Body composition and cardiac autonomic response to exercise are associated with physical fitness in older people, highlighting a possible protective effect of muscle mass against the decline in physical fitness associated with increased body fat.

The effects of a blended learning model on the physical fitness of Chinese university students: a cluster randomized controlled trial in basketball education.

OBJECTIVE: The university period is a critical stage of personal development, and improving the physical fitness of university students is crucial to their academic performance, quality of life, and future. However, in recent years, the physical fitness level of Chinese university students has shown a decreasing trend. This study aimed to investigate the effects of a blended learning model on the physical fitness of Chinese university students through a 16-week intervention. METHODS: A total of 78 first-year students from a public university in Henan Province were recruited for this study via a cluster randomized controlled trial (CRCT) design. The participants were divided into an experimental group (blended learning) and a control group (traditional learning). The intervention lasted for 16 weeks, and physical fitness indices such as body mass index (BMI), lung capacity, sit and reach, pull-ups/sit-ups, standing long jumps, 50-meter runs, and 1000/800-meter runs were measured before and after the intervention. Statistical analyses were conducted via generalized estimating equation (GEE) modeling, with the significance level set at P < 0.05. RESULTS: Both learning models significantly improved students' physical fitness after 16 weeks. However, the blended learning model resulted in more significant improvements in lung capacity, sit and reach, pull-ups/sit-ups, standing long jumps, and 50-meter runs (P < 0.05). No significant differences were found between the two groups in terms of BMI or 1000/800-meter run. CONCLUSIONS: The 16-week blended learning model effectively promoted physical fitness among university students, especially in terms of their lung capacity, flexibility, strength and speed.

Health-Related Physical Fitness and Biochemical Parameters in Overweight Older People during Social Isolation Imposed by the COVID-19 Pandemic: A Longitudinal and Observational Study.

With COVID-19, evidence indicates that the elderly will have worse biochemical markers related to health in social isolation. The objective was to analyze the impacts on physical fitness and biochemical parameters of older adults' health during COVID-19 social isolation. Quantitative, longitudinal, and observational study was conducted between 2020, 2021, and 2022. Thirty-three older adults of both sexes were evaluated. A sociodemographic questionnaire, biomarkers, and health-related physical fitness were used. Significant differences were observed for the sum of maximum isometric right and left handgrip strength, with a reduction in 2022 (p = 0.009); getting up and walking (p < 0.001), reduction in 2021 and 2022 (p < 0.05); elbow flexion and extension (p = 0.004), reduction in 2021 (p = 0.006); and sitting and standing (p = 0.002), reduction in 2022 (p = 0.003) and peak oxygen consumption (p < 0.001), reduction in 2021 and 2022 (p < 0.05). Differences were observed in fasting blood glucose (p < 0.001), with increase in 2021 and 2022 (p < 0.05), triglycerides (p < 0.001), with increase in 2021 and 2022 (p < 0.05), triglyceride-glucose index (p < 0.001), with increase in 2021 and 2022 (p < 0.05), triglyceride-glucose index with waist circumference (p < 0.001), with increase in 2021 (p < 0.001); and triglyceride-glucose index with body mass index (p < 0.001), with increase in 2021 (p < 0.001). However, no differences were observed between anthropometric and body composition (p > 0.05). Conclusions: Older people had changes in biochemical and physical fitness parameters related to health during the social isolation of the COVID-19 pandemic.

The pathway of social support in enhancing adolescents' physical fitness: The mediating roles of physical activity and self-efficacy.

PURPOSE: Utilising Welk's Youth Physical Activity Promotion (YPAP) model as a foundational framework, this study investigates the intricate interplay of social support, physical activity (PA), and self-efficacy in relation to physical fitness within the context of Chinese culture. The primary objective is to identify the nuanced dynamics among social support, self-efficacy, PA, and physical fitness to enhance adolescent well-being and fitness. METHODOLOGY: The study employed a convenience sampling method, engaging 123 adolescents aged 18-21, of which 67 were females (54.47%), and 56 were males (45.53%). Data were collected through structured questionnaires focusing on the identified variables. RESULTS: Our study revealed significant positive associations among social support, self-efficacy, PA, and physical fitness, with correlation coefficients ranging from 0.282 to 0.419. Notably, a discernible gender disparity emerged, with females exhibiting higher levels of physical fitness. Among the key determinants of adolescent physical fitness, self-efficacy emerged as the most influential, followed by PA and gender. Utilising structural equation modelling and regression techniques, we discerned that social support indirectly influences physical fitness, primarily mediated by self-efficacy and the level of physical activity. DISCUSSION: This study provides insight into how social support impacts adolescent physical fitness. We found that social support strongly predicts both PA and self-efficacy, and self-efficacy significantly boosts PA, ultimately leading to improved physical fitness. Both self-efficacy and PA serve as mediators in the relationship between social support and fitness. Therefore, interventions should prioritise reinforcing social support, promoting PA, and nurturing self-efficacy to optimise adolescent physical fitness outcomes.

Effect of a smartphone-based physical intervention on depression, fitness factors and movement characteristics in adults.

BACKGROUND: Physical activity has been shown to correlate with mental health and a reduction in symptoms of depression. However, the majority of research has focused only on the effects of either aerobic or nonaerobic exercise on depressive symptoms, while the use of novel technological innovations such as mobile phone-based activity programs and their effects on movement characteristics are underrepresented. This study had two objectives: (1) to investigate how effectively 4 weeks of mobile phone-based physical activity can affect depressive scores (CES-10-D and PHQ) and fitness levels and (2) to investigate the whether 4 weeks of mobile phone-based physical activity affected participants' movement characteristics. METHODS: A total of 31 participants were included and divided into an exercise group (n = 21) and a control group (n = 10). The exercise group was instructed to use a mobile phone-based exercise program 5 times per week for 4 weeks. Pre- and post-exercise, the participants' depression score (CES-10-D, PHQ9), fitness level (YMCA, grip strength) and movement characteristics (postural sway, movement ROM, movement speeds, etc.) for three Azure Kinect physical activity games based on different fitness factors (balance game, cardiovascular game, reaction game) were measured. RESULTS: Mixed model ANOVA revealed significant differences between pre- and post-intervention depression scores on the PHQ9 (P = .001) and CES-10-D (P < .001) in both the exercise group and the control group, but not between groups. In terms of movement characteristics, there was an increase in body sway (P = .045) and vertical head movement (P = .02) in the cardiovascular game jogging condition for the exercise group. In the reaction game, the exercise group showed a significant reduction in the number of mistakes (P = .03). There were no other significant differences for the other variables. CONCLUSION: The results revealed no differences in the reduction in depression scores between the exercise group and the control group. However, this study showed that a mobile phone-based physical activity intervention affects in-game movement characteristics such as body sway and vertical head movement and therefore may show the potential of using activity-promoting mobile games for improving movement.

A study on the development of a fitness age prediction model: the national fitness award cohort study 2017-2021.

BACKGROUND: Physical fitness is considered an important indicator of the health of the general public. In particular, the physical fitness of the older adults is an important requirement for determining the possibility of independent living. Therefore, the purpose of this study was to examine the association between chronological age and physical fitness variables in the National Fitness Award Cohort study data and to develop multiple linear regression analyses to predict fitness age using dependent variables. METHODS: Data from 501,774 (359,303 adults, 142,471 older adults) individuals who participated in the Korea National Fitness Award Cohort Study from 2017 to 2021 were used. The physical fitness tests consisted of 5 candidate markers for adults and 6 candidate markers for the older adults to measure muscle strength, muscle endurance, cardiopulmonary endurance, flexibility, balance, and agility. Pearson's correlation and stepwise regression analyses were used to analyze the data. RESULTS: We obtained a predicted individual fitness age values from physical fitness indicators for adults and older adults individuals, and the mean explanatory power of the fitness age for adults was [100.882 - (0.029 × VO2max) - (1.171 × Relative Grip Strength) - (0.032 × Sit-up) + (0.032 × Sit and reach) + (0.769 × Sex male = 1; female = 2)] was 93.6% (adjusted R2); additionally, the fitness age for older adults individuals was [79.807 - (0.017 × 2-min step test) - (0.203 × Grip Strength) - (0.031 × 30-s chair stand) - (0.052 × Sit and reach) + (0.985 × TUG) - (3.468 × Sex male = 1; female = 2) was 24.3% (adjusted R2). CONCLUSIONS: We suggest the use of fitness age as a valid indicator of fitness in adults and older adults as well as a useful motivational tool for undertaking exercise prescription programs along with exercise recommendations at the national level.

Associations of sugar-sweetened beverage consumption and screen time with physical fitness index: a multicentre cross-sectional study among Chinese adolescents.

BACKGROUND: Past research has focused on the analysis of the association between sugar-sweetened beverages consumption and screen time, respectively, and an indicator of physical fitness in adolescents. However, no studies have analyzed the interaction between sugar-sweetened beverage consumption and screen time on physical fitness index. METHODS: Demographic information, lifestyle, sugar-sweetened beverage consumption and screen time were investigated and physical fitness indicators were tested in 8136 adolescents aged 13-18 years from six geographic regions of China using stage-stratified whole population sampling. The chi-square test and one-way ANOVA were used to compare the covariates. The Kruskal-Wallis test was used to compare physical fitness index between different sugar-sweetened beverage consumption and screen time groups. Generalized linear model ordered logistic regression analysis was used to analyze the interaction between sugar-sweetened beverage consumption and ST on physical fitness index. RESULTS: The differences in physical fitness index among different sugar-sweetened beverage consumers in child adolescents were all statistically significant in boys, girls, and in total (H-value of 72.415, 16.859, and 78.544, P < 0.001). The differences were also statistically significant when comparing the physical fitness index of Chinese adolescents of different screen time in boys, girls, and total (H-Value of 46.307, 21.552, and 65.287, P < 0.001). Overall, using sugar-sweetened beverage consumption ≤ 1time/week and screen time < 60 min/d as the reference group, after adjusting for relevant covariates, adolescents in the group with an sugar-sweetened beverage consumption of ≥ 5 time/week and screen time > 120 min/d (OR = 2.27, 95% CI:1.78, 2.89) had the the highest risk of reduced physical fitness index (P < 0.001 ). CONCLUSION: Associations of sugar-sweetened beverage consumption and screen time with physical fitness indices among Chinese adolescents. Both increased sugar-sweetened beverage consumption and prolonged ST further increased the risk of lower physical fitness index in adolescents.

Assessment of Cardiopulmonary Fitness and Physical Activity in Health Science Students.

Background Insufficient physical activity and poor cardiopulmonary fitness increases the risk of chronic diseases and premature mortality. Sedentary lifestyle is observed among young health science students. Objective To assess cardiopulmonary fitness and physical activity levels among health science students at Jumla. Method A cross-sectional study was conducted on health science students at Karnali Academy, Jumla. Cardiopulmonary fitness was assessed using the Queen's College Step Test to calculate VO2max. International Physical Activity Questionnaire was applied to measure physical activity in terms of Metabolic Equivalent of Task (MET) value. Data analysis utilized GNU-PSPP software with descriptive and inferential statistics. Result Total 107 students participated (56 females), aged 18-37 years. Their median VO2max was 40.05 ml/kg/min, significantly higher in males [51.69 (IQR 45.81 - 57.57)] than females [36.37 (IQR 34.90 - 38.58)] (p<0.001). Median weekly physical activity was 1030 MET-minutes/week, with males reporting higher levels [1436 (962 - 2670)] than females [678 (414 - 1103)] (p<0.001). VO2max had a positive correlation with total MET value per week (r = 0.504, p<0.001), and negative correlation with body adiposity (p<0.02). Multiple linear regression revealed physical activity level, sex, and BMI as significant predictors of VO2max (p<0.01). Conclusion Health science students at Karnali Academy have average levels of cardiopulmonary fitness and physical activity, lower in females. Targeted interventions can improve their fitness, benefiting the wider population in future. Further research should explore barriers to physical activity and factors influencing healthy lifestyle adoption among health science students in this region.

Temporal changes in the physical fitness of Chinese adolescents aged 13-18 years: an analysis of eight national successive surveys over three decades.

Objective: The aim of this study was to assess temporal changes in physical fitness of Chinese adolescents aged 13-18 years from 1985 to 2019. Methods: Body size /composition and physical fitness indicators, including body height, weight, body mass index (BMI), speed, power, flexibility, muscular endurance, and cardiorespiratory fitness (CRF), were selected from Chinese boys and girls aged 13-18 years from eight Chinese National Surveillance on Students' Constitution and Health from 1985 to 2019. Temporal changes in means were estimated by sample-weighted linear regression at the test × sex × age level, and national trends were estimated by a post-stratification population weighting procedure. Results: Overall mean body height, weight and BMI increased significantly for Chinese adolescents over 34 years. There was a small improvement for boys in speed (Effect size [ES] = -0.21, 95% confidence interval [CI] = -0.44 ~ 0.02), a small improvement for boys in power (ES = 0.24, 95% CI = -0.20 ~ 0.69), a small improvement for girls in flexibility (ES = 0.45, 95% CI = 0.15 ~ 0.76), a moderate decline for boys (ES = -0.53 95% CI = -0.84 ~ -0.21) and a moderate improvement for girls (ES = 0.61, 95% CI = -0.03 ~ 1.26) in muscular endurance, and large declines in cardiorespiratory fitness (CRF) for boys (ES = 0.93, 95% CI = 0.64 ~ 1.21) and girls (ES = 0.93, 95% CI = 0.58 ~ 1.27) from 1985 to 2019. These trends in each component of fitness were more positive for adolescents aged 13-15 years than that of adolescents aged 16-18 years in both sexes, except for girls in flexibility. Conclusion: The decline in CRF was most pronounced among Chinese children and adolescents from 1985 to 2019, suggesting a future decline in population health that needs attention.