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Centers for Disease Control (CDC) guidelines recommend schools use a coordinated health approach to support healthy eating and physical activity. This study examines whether the number of healthy eating and physical activity programs and activities used by schools and their perceived success relate to students' health-related fitness. This observational study used data from the Healthy Zone Schools Program. Data (collected in 2017-2019) were integrated from three sources: (1) school surveys, (2) FitnessGram ® , and (3) the Texas Education Agency. Independent variables were the number of health promotion programs and activities and their perceived success; dependent variables were meeting Healthy Fitness Zone Standards (HFZ) for aerobic capacity and body mass index (BMI). We used mixed-effects logistic regression models. Fifty-six schools were in the analytic sample ( n = 15,096 students with aerobic capacity data and n = 19,969 with BMI data). Results indicated the perceived success of physical activity programs/activities was significantly associated with students meeting HFZ standards for aerobic capacity (OR = 1.32, CI = 1.06-1.63). There was a significant direct association between the number of physical activity and healthy eating activities implemented (OR = 1.04, CI = 1.01-1.06) and students meeting HFZ for BMI. Schools using multiple health programs and activities need to balance the number provided with their capacity to maintain success.

Background: The association of physical fitness with cognitive function in children and adolescents is unclear. The purpose of this ecological study was to describe the association between academic achievement, body mass index (BMI), and cardiovascular fitness (CVF) in a large sample of elementary, middle, and high school students in Texas., Methods: FITNESSGRAM(®) results for 2,550,144 students were matched with standardized composite academic test (TAKS) results from 2008 to 2009. Analyses were conducted on the percent of students meeting TAKS standards by BMI and CVF quintiles. Analyses of variance with Tukey adjustment examined differences between the most favorable 5th quintile (referent) and all other quintiles., Results: The prevalence of students meeting the TAKS standard was significantly higher in the highest fitness category for BMI and CVF compared to all other categories, regardless of sex or grade category (p < .05). Linear modeling suggested a 5% increase in the prevalence of students meeting healthy BMI and CVF standards would result in a 2.25% and 0.65% increase in the prevalence of students meeting the TAKS standard (both p < .05)., Conclusion: Findings suggest a healthy BMI and CVF are associated with higher academic achievement, and the need for additional research examining the role of potential confounders and/or effect modifiers longitudinally., (© 2014, American School Health Association.)

Objective: To examine the association between sedentary behavior and cardiometabolic risk, while taking into account cardiorespiratory fitness (fitness) and physical activity., Participants and Methods: We examined the association of sedentary behavior, physical activity, and fitness (exposure variables) to cardiometabolic biomarkers and metabolic syndrome (outcome measures) among a historic cohort (January 2, 1981, through October 16, 2012) of men. First, we estimated the association (cross-sectionally and longitudinally) of sedentary behavior along with physical activity and fitness to lipids and lipoproteins, glucose, blood pressure, and markers of adiposity, including body mass index, waist circumference, and body fat percentage. We then prospectively examined the effects of baseline sedentary time on the incidence of metabolic syndrome, while adjusting for physical activity, fitness, and other covariates in multivariate models., Results: Multivariate analysis of baseline data revealed that in comparison with the reference group (≤9 h/wk of sedentary time), more sedentary behavior was significantly associated with a higher triglyceride level, a higher triglycerides-high-density lipoprotein cholesterol ratio, and a higher body mass index, waist circumference, and body fat percentage (P<.05 for trend), after adjusting for physical activity and covariates. When adjusting for fitness and covariates, prolonged sedentary time was only associated with a higher triglyceride-high-density lipoprotein cholesterol ratio (P=.02 for trend). Sedentary time was not associated with the incidence of metabolic syndrome in multivariate models. Longitudinal analyses revealed that a 1-metabolic equivalent increase in fitness was significantly (P<.05) associated with almost all biomarkers when adjusting for sedentary behavior, with little moderation observed., Conclusion: The association between prolonged sedentary time and cardiometabolic biomarkers is markedly less pronounced when taking fitness into account. Further exploration of the effects of sedentary behavior on cardiometabolic risk is warranted in cohorts with available fitness data. Furthermore, our findings underscore the need to encourage achieving higher fitness levels through meeting physical activity guidelines to decrease disease risk factors., (Copyright © 2014 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.)

Background: The combined associations of changes in cardiorespiratory fitness and body mass index (BMI) with mortality remain controversial and uncertain., Methods and Results: We examined the independent and combined associations of changes in fitness and BMI with all-cause and cardiovascular disease (CVD) mortality in 14 345 men (mean age 44 years) with at least 2 medical examinations. Fitness, in metabolic equivalents (METs), was estimated from a maximal treadmill test. BMI was calculated using measured weight and height. Changes in fitness and BMI between the baseline and last examinations over 6.3 years were classified into loss, stable, or gain groups. During 11.4 years of follow-up after the last examination, 914 all-cause and 300 CVD deaths occurred. The hazard ratios (95% confidence intervals) of all-cause and CVD mortality were 0.70 (0.59-0.83) and 0.73 (0.54-0.98) for stable fitness, and 0.61 (0.51-0.73) and 0.58 (0.42-0.80) for fitness gain, respectively, compared with fitness loss in multivariable analyses including BMI change. Every 1-MET improvement was associated with 15% and 19% lower risk of all-cause and CVD mortality, respectively. BMI change was not associated with all-cause or CVD mortality after adjusting for possible confounders and fitness change. In the combined analyses, men who lost fitness had higher all-cause and CVD mortality risks regardless of BMI change., Conclusions: Maintaining or improving fitness is associated with a lower risk of all-cause and CVD mortality in men. Preventing age-associated fitness loss is important for longevity regardless of BMI change.

Background: Public schools provide opportunities for physical activity and fitness surveillance, but are evaluated and funded based on students' academic performance, not their physical fitness. Empirical research evaluating the connections between fitness and academic performance is needed to justify curriculum allocations to physical activity programs., Methods: Analyses were based on a convenience sample of 254,743 individually matched standardized academic (TAKS™) and fitness (FITNESSGRAM(®) ) test records of students, grades 3-11, collected by 13 Texas school districts. We categorized fitness results in quintiles by age and gender and used mixed effects regression models to compare the academic performance of the top and bottom fitness groups for each test., Results: All fitness variables except body mass index (BMI) showed significant, positive associations with academic performance after adjustment for socio-demographic covariates, with standardized mean difference effect sizes ranging from .07 to .34. Cardiovascular fitness showed the largest interquintile difference in TAKS score (32-75 points), followed by curl-ups. Additional adjustment for BMI and curl-ups showed dose-response associations between cardiovascular fitness and academic scores (p < .001 for both genders and outcomes). Analysis of BMI demonstrated limited, nonlinear association with academic performance after socio-demographic and fitness adjustments., Conclusions: Fitness was strongly and significantly related to academic performance. Cardiovascular fitness showed a dose-response association with academic performance independent of other socio-demographic and fitness variables. The association appears to peak in late middle to early high school. We recommend that policymakers consider physical education (PE) mandates in middle high school, school administrators consider increasing PE time, and PE practitioners emphasize cardiovascular fitness., (© 2011, American School Health Association.)

Background: No reviews have quantified the specific amounts of physical activity required for lower risks of coronary heart disease when assessing the dose-response relation. Instead, previous reviews have used qualitative estimates such as low, moderate, and high physical activity., Methods and Results: We performed an aggregate data meta-analysis of epidemiological studies investigating physical activity and primary prevention of CHD. We included prospective cohort studies published in English since 1995. After reviewing 3194 abstracts, we included 33 studies. We used random-effects generalized least squares spline models for trend estimation to derive pooled dose-response estimates. Among the 33 studies, 9 allowed quantitative estimates of leisure-time physical activity. Individuals who engaged in the equivalent of 150 min/wk of moderate-intensity leisure-time physical activity (minimum amount, 2008 U.S. federal guidelines) had a 14% lower coronary heart disease risk (relative risk, 0.86; 95% confidence interval, 0.77 to 0.96) compared with those reporting no leisure-time physical activity. Those engaging in the equivalent of 300 min/wk of moderate-intensity leisure-time physical activity (2008 U.S. federal guidelines for additional benefits) had a 20% (relative risk, 0.80; 95% confidence interval, 0.74 to 0.88) lower risk. At higher levels of physical activity, relative risks were modestly lower. People who were physically active at levels lower than the minimum recommended amount also had significantly lower risk of coronary heart disease. There was a significant interaction by sex (P=0.03); the association was stronger among women than men., Conclusions: These findings provide quantitative data supporting US physical activity guidelines that stipulate that "some physical activity is better than none" and "additional benefits occur with more physical activity."

Background: Physical inactivity is associated with the increased risk of many chronic diseases. Such risks decrease with increases in physical activity. This study assessed the cost-effectiveness of population-wide strategies to promote physical activity in adults and followed disease incidence over a lifetime., Methods: A lifetime cost-effectiveness analysis from a societal perspective was conducted to estimate the costs, health gains, and cost-effectiveness (dollars per quality-adjusted life year [QALY] gained, relative to no intervention) of seven public health interventions to promote physical activity in a simulated cohort of healthy U.S. adults stratified by age, gender, and physical activity level. Interventions exemplifying each of four strategies strongly recommended by the Task Force on Community Preventive Services were evaluated: community-wide campaigns, individually adapted health behavior change, community social-support interventions, and the creation of or enhanced access to physical activity information and opportunities. Each intervention was compared to a no-intervention alternative. A systematic review of disease burden by physical activity status was used to assess the relative risk of five diseases (coronary heart disease, ischemic stroke, type 2 diabetes, breast cancer, and colorectal cancer) across a spectrum of physical activity levels. Other data were obtained from clinical trials, population-based surveys, and other published literature., Results: Cost-effectiveness ratios ranged between $14,000 and $69,000 per QALY gained, relative to no intervention. Results were sensitive to intervention-related costs and effect size., Conclusions: All of the evaluated physical activity interventions appeared to reduce disease incidence, to be cost-effective, and--compared with other well-accepted preventive strategies--to offer good value for money. The results support using any of the seven evaluated interventions as part of public health efforts to promote physical activity.

Background: There is a need to understand physical activity types associated with health-related work limitations (also known as presenteeism). This study tests whether additive effects between physical activity types are associated with health-related work limitations among employees from a public university system. Methods: A cross-sectional study using health assessment data (n = 10,791) was used to examine aims. Analysis of covariance models tested differences in work limitations between physical activity groups based on combinations of stretching behavior, aerobic, and muscle-strengthening physical activities. Planned contrasts compared differences between selected groups. Results: There were significant group differences (P < .001) in reported work limitations after controlling for demographic, season, and health-related variables. Employees who reported participating in aerobic physical activity had significantly lower work limitation levels compared with inactive employees (P = .027). Employees who reported participating in both aerobic and muscle-strengthening physical activities had the lowest work limitation levels compared with all groups and significantly lower work limitation levels compared with employees who participated in aerobic physical activity only (P = .026). Conclusions: Results provide evidence of an additive effect where participating in a combination of aerobic and muscle-strengthening physical activities may be most beneficial when targeting health-related work limitations. [ABSTRACT FROM AUTHOR]

The author comments on a study about the duration and intensity of exercise in weight loss among overweight women. He believes that the result of the study has helped individuals to better understand the vital role of physical activity in weight maintenance. He also concludes that the result of the study has supported previous recommendations on how to maintain a weight loss of 10%.

Abstract: People living in activity-friendly communities (AFCs) are more active but the self-selection influence is unknown. From 4856 respondents we explored mediating variables with expressed desire to live in AFCs. Association with desire to live in AFCs included ages 18–24 years (odds ratio [OR]=1.9), African American (OR=1.9) or Hispanic (OR=1.5), and believing AFCs would support activity-based transportation (OR=2.4). Regular physical activity (PA) was marginally associated with desire to live in AFCs (OR=1.3). These findings suggest that PA may be a significant factor in communities of this style. Strategies for social marketing along with changes to the built environment to increase PA levels are discussed. [Copyright &y& Elsevier]

Purpose: The aim of the study is to compare national estimates of the incidence of self-reported all-cause and activity-specific injuries in adults with differing leisure-time physical activity levels. Methods: Data were analyzed from the 2000 to 2002 National Health Interview Survey. Leisure-time physical activity levels were categorized as active, insufficiently active, and inactive. Results: Age-adjusted incidences of all-cause injury did not differ by leisure-time physical activity level (active, 89.3/1000; 95% confidence interval [CI], 81.8–96.8; insufficiently active, 81.6/1000; 95% CI, 73.1–90.1; and inactive, 86.3/1000; 95% CI, 78.6–93.9). Active respondents (29.4/1000; 95% CI, 25.2–33.6) had a greater incidence of injury related to sport and leisure-time activities than inactive respondents (15.2/1000; 95% CI, 12.1–18.3), whereas inactive respondents (71.1/1000; 95% CI, 63.9–78.2) had a greater incidence of injury related to nonsport and non–leisure-time activities than active respondents (59.9/1000; 95% CI, 53.6–66.2). Results were unchanged after multivariate control for confounding factors. Conclusions: Although the incidence of sport and leisure-time injuries is associated with participation in leisure-time physical activity, no association was observed between leisure-time physical activity and overall injuries. [Copyright &y& Elsevier]