A Natural Experiment: Results of Community-Designed Park Improvements on Park Use and Physical Activity.

The objective of this study was to assess if built environment changes to two suburban parks that involved extensive community engagement and physical activity programming increased park use and physical activity. This study employed a natural experiment evaluation design where community engagement informed the redesign of two neighborhood parks. Community engagement in the redesign of the parks was tracked as was the diversity of the partners on the steering committee and participation by community members in the process. Before and after park improvements, data were collected using the System for Observing Play and Recreation in Communities (SOPARC) instrument to measure change in use and activity level in each park. Park use increased at both parks, but physical activity levels did not significantly improve. The number of park visitors observed increased by 53% and 50%, respectively. Both parks had increased usage during evening hours when the family programming was the greatest. This study has several implications for policy and practice. First, this study suggests that community engagement can play a role in redesigning a park and likely leads to increased awareness and use of neighborhood parks. Second, while park use increased, simply adding new features to a park may not immediately increase physical activity. Additional efforts need to be made to activate the park and increase physical activity. Third, practitioners should not discount the value of building park awareness that increases park use as it may be a first step to increasing physical activity.

Practice-Based Evidence Supporting Healthy Eating and Active Living Policy and Environmental Changes.

CONTEXT: Policy and environmental strategies have been recommended as evidence-based strategies to improve opportunities for healthy eating and active living. PROGRAM: A cohort of 6 coalitions in Colorado representing 5 communities was funded to implement policy and environmental strategies that support healthy eating and active living. Coalitions prioritized built environment to support active living and healthy food and beverage strategies. IMPLEMENTATION: Built environment coalitions prioritized the adoption of policies and implementation of infrastructure enhancements to improve access to walking, biking, and other physical activity at the institutional, regional, county, and/or municipal levels. Healthy food and beverage coalitions aimed to support the consumption of healthy foods and beverages in government settings, hospitals, and other public venues via policy, practice, or procedural changes. EVALUATION: Built environment coalitions implemented change at 61 sites by implementing 16 policies and plans and 44 environmental changes. Healthy food and beverage coalitions implemented changes at 66 sites by passing 31 policies and plans and 44 environmental and practice changes. It is estimated that more than 70 000 individuals were likely exposed to these policy and environmental changes. DISCUSSION: All community coalitions were successful in driving policy and environmental changes to promote healthy eating and active living. This program contributes to the practice-based evidence to demonstrate that with funding and resources, local public health coalitions and practitioners can drive policy and environmental changes in their communities. Providing funding to a dedicated coalition or group of partners can give coalitions the resources they need to drive these changes.

Weight Loss Disparities Among Hispanic and Underserved Participants, Colorado, 2015-2018.

INTRODUCTION: The National Diabetes Prevention Program (DPP) is an evidence-based strategy to prevent the development of type 2 diabetes in adults at high risk through education and behavior modifications that promote weight loss. This evaluation aimed to determine if National DPP participants' weight-related outcomes varied across demographic subgroups, including sex, age, race/ethnicity, and insurance status, after controlling for program attendance and physical activity. METHODS: Our cross-site evaluation used participant-level data from 11 organizations during July 2015 through June 2018. A modified Poisson regression model was used to examine the relationship between demographic subgroups, controlling for physical activity (minutes per week) and program attendance. RESULTS: A total of 1,007 National DPP participants were included in the analyzed sample. Participants lost an average of 4% of their initial body weight, approximately 8 pounds. About one-third of participants achieved greater than 5% weight loss. In the unadjusted estimates, participants who were Hispanic, non-Hispanic Black, young, and uninsured were significantly less likely to achieve 5% or greater weight loss. Demographic differences in achieving 5% or greater weight loss, however, were not significant after adjusting for program attendance and physical activity level. CONCLUSIONS: Disparities in National DPP weight-related outcomes were not observed across demographic groups after adjusting for program attendance and physical activity levels. However, non-Hispanic Black participants had lower attendance and Hispanic participants reported less physical activity than participants of other races/ethnicities. Strategies to improve National DPP participation and increase physical activity, therefore, should be prioritized among Hispanic and non-Hispanic Black participants.

Which US States Pose the Greatest Threats to Military Readiness and Public Health? Public Health Policy Implications for a Cross-sectional Investigation of Cardiorespiratory Fitness, Body Mass Index, and Injuries Among US Army Recruits.

OBJECTIVE: Many states in the southern region of the United States are recognized for higher rates of obesity, physical inactivity, and chronic disease. These states are therefore recognized for their disproportionate public health burden. The purpose of this study was to investigate state-level distributions of cardiorespiratory fitness, body mass index (BMI), and injuries among US Army recruits in order to determine whether or not certain states may also pose disproportionate threats to military readiness and national security. METHODS: Sex-specific state-level values for injuries and fitness among 165 584 Army recruits were determined. Next, the relationship between median cardiorespiratory fitness and injury incidence at the state level was examined using Spearman correlations. Finally, multivariable Poisson regression models stratified by sex examined state-level associations between fitness and injury incidence, while controlling for BMI, and other covariates. MAIN OUTCOME MEASURES: Cardiorespiratory fitness and training-related injury incidence. RESULTS: A cluster of 10 states from the south and southeastern regions (Alabama, Arkansas, Florida, Georgia, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, and Texas) produced male or female recruits who were significantly less fit and/or more likely to become injured than recruits from other US states. Compared with the "most fit states," the incidence of injuries increased by 22% (95% CI, 17-28; P < .001) and 28% (95% CI, 19-36; P < .001) in male and female recruits from the "least fit states," respectively. CONCLUSIONS: The impact of policies, systems, and environments on physical activity behavior, and subsequently fitness and health, has been clearly established. Advocacy efforts aimed at active living policies, systems, and environmental changes to improve population health often fail. However, advocating for active living policies to improve national security may prove more promising, particularly with legislators. Results from this study demonstrate how certain states, previously identified for their disproportionate public health burden, are also disproportionately burdensome for military readiness and national security.

Pathways to Health: Association Between Trail Use, Weight Status, and Self-Rated Health Among Adults in Greenville County, South Carolina, 2014.

We examined associations between adults' use of a prominent rail-trail and their weight status and self-rated health. In 2014, a random-digit-dial survey of Greenville County, South Carolina, residents (n = 639) was used to collect data on trail use, height and weight, self-rated health, and demographics. Trail users were half as likely to be overweight or obese as trail nonusers (odds ratio [OR] = 0.56; 95% confidence interval [CI], 0.33-0.95). Similarly, trail users were significantly more likely to report high self-rated health than were trail nonusers (OR = 1.83; 95% CI, 1.13-2.97). Findings suggest that trail use is associated with healthier weight status and higher self-rated health and supports the development, maintenance, and promotion of trail resources.

Association of environment and policy characteristics on children's moderate-to-vigorous physical activity and time spent sedentary in afterschool programs.

BACKGROUND: Afterschool programs are an important setting in which to promote children's physical activity. This study examines the association of environmental and policy characteristics on the moderate-to-vigorous physical activity and sedentary behavior of children attending afterschool programs. METHODS: A total of 1302 children attending 20 afterschool programs across South Carolina wore accelerometers (ActiGraph GT3X+) for up to 4non-consecutive days. Policy-level characteristics were evaluated using the Healthy Afterschool Program Index-Physical Activity scale. Physical activity space was measured using a measuring wheel (indoor, ft(2)) and Geographical Information Systems software (outdoor, acres). The structure (free-play or organized) of activity opportunities was evaluated via direct observation. Time spent in moderate-to-vigorous physical activity and sedentary, both indoors and outdoors, was estimated using accelerometry. RESULTS: For every 5000 ft(2) of utilized indoor activity space an additional 2.4 and 3.3 min/day of sedentary behavior was observed among boys and girls, respectively. A higher ratio of free-play to organized play was associated with higher indoor sedentary behavior among boys and girls (3.9 min/day and 10.0 min/day, respectively). For every 1 acre of outdoor activity space used, an additional 2.7 min/day of moderate-to-vigorous physical activity was observed for boys. A higher free-play to organized play ratio was associated with higher outdoor moderate-to-vigorous physical activity for boys and girls (4.4 and 3.4 min/day increase, respectively). Policy characteristics were unrelated to moderate-to-vigorous physical activity levels and time spent sedentary. CONCLUSION: Findings indicate that policies and size of activity space had limited influence on moderate-to-vigorous physical activity and sedentary behavior, suggesting that a programmatic structure may be a more effective option to improve moderate-to-vigorous physical activity levels of children attending afterschool programs.

Association of Housing Instability with Obesity Status Among Insured Adults.

INTRODUCTION: Obesity affects four in ten US adults. One of the most prevalent health-related social risk factors in the US is housing instability, which is also associated with cardiovascular health outcomes, including obesity. The objective of this research brief is to examine the association between housing instability with obesity status among a representative sample of insured adults across seven integrated health systems. METHODS: Kaiser Permanente National Social Needs Survey used a multistage stratified sampling framework to administer a cross-sectional survey across seven integrated health systems (administered Jan.-Sept. 2020). Survey data were linked with electronic health records (EHR). Housing instability was categorized into levels of risk: (1) "No Risk"; (2) "Moderate Risk"; and (3) "Severe Risk." Based on established BMI thresholds, obesity, and severe obesity served as the primary outcome variables. In 2023, weighted multivariable logistic regression accounted for the complex sampling design and response probability and controlled for covariates. RESULTS: The analytic cohort comprised 6,397 adults. Unadjusted weighted prevalence of obesity and severe obesity was 31.1% and 5.3%, respectively; and 15.5% reported housing instability. Adjusted regression models showed that the odds of severe obesity was nearly double among adults exposed to severe housing instability (Adjusted OR=1.93; 95% CI 1.14-3.26). Other BMI categories were not associated with housing instability. CONCLUSIONS: Among a representative cohort of insured adults, this study suggested increasing levels of housing instability are associated with increasing levels of obesity. Future research should further explore the temporal, longitudinal, and independent association of housing instability with obesity.

Longitudinal Associations of Cardiorespiratory Fitness and Poverty With Academic Performance Among Youth.

BACKGROUND: Cardiorespiratory fitness (CRF) plays a significant role in health and academic performance in youth. The purpose of this study was to examine the longitudinal relationship between CRF and academic performance from fifth to eighth grade among a large, diverse, and state-wide cohort of students, and to determine the extent to which the relationship between change in CRF and academic performance is moderated by poverty status. METHODS: CRF and academic performance data were obtained for a retrospective state-wide cohort of 11,013 students with baseline (fifth grade, school year 2015-2016) and follow-up (eighth grade, school year 2018-2019) data. Analysis of covariance was used to examine the association between changes in CRF over a 3-year follow-up period and eighth grade academic performance. RESULTS: After adjusting for covariates, change in CRF and poverty status were positively and significantly associated with eighth grade academic performance. Poverty status did not significantly moderate the association between changes in CRF and academic performance. CONCLUSIONS: Schools should prioritize evidence-based policies and programs that optimize students' access to high quantity and quality physical activity throughout the school day. Such efforts can improve and maintain student CRF and thus academic performance outcomes.

Demographic, Clinical, and Behavioral Factors Associated With Electronic Nicotine Delivery Systems Use in a Large Cohort in the United States.

Introduction: Our primary purpose is to understand comorbidities and health outcomes associated with electronic nicotine delivery systems (ENDS) use. Methods: Study participants were Kaiser Permanente (KP) members from eight US regions who joined the Kaiser Permanente Research Bank (KPRB) from September 2015 through December 2019 and completed a questionnaire assessing demographic and behavioral factors, including ENDS and traditional cigarette use. Medical history and health outcomes were obtained from electronic health records. We used multinomial logistic regression to estimate odd ratios (ORs) and 95% confidence intervals (CIs) of current and former ENDS use according to member characteristics, behavioral factors, and clinical history. We used Cox regression to estimate hazard ratios (HRs) and 95% CIs comparing risk of health outcomes according to ENDS use. Results: Of 119 593 participants, 1594 (1%) reported current ENDS use and 5603 (5%) reported past ENDS use. ENDS users were more likely to be younger, male, gay or lesbian, and American Indian / Alaskan Native or Asian. After adjustment for confounding, current ENDS use was associated with current traditional cigarette use (OR = 39.55; CI:33.44-46.77), current marijuana use (OR = 6.72; CI:5.61-8.05), history of lung cancer (OR = 2.64; CI:1.42-4.92), non-stroke cerebral vascular disease (OR = 1.55; CI:1.21-1.99), and chronic obstructive pulmonary disease (OR = 2.16; CI:1.77-2.63). Current ENDS use was also associated with increased risk of emergency room (ER) visits (HR = 1.17; CI: 1.05-1.30) and death (HR = 1.84; CI:1.02-3.32). Conclusions: Concurrent traditional cigarette use, marijuana use, and comorbidities were prevalent among those who used ENDS, and current ENDS use was associated with an increased risk of ER visits and death. Additional research focused on health risks associated with concurrent ENDS and traditional cigarette use in those with underlying comorbidities is needed.

The Association of Electronic Cigarette Use With SARS-CoV-2 Infection and COVID-19 Disease Severity.

BACKGROUND: Although combustible cigarette use is an established risk factor for severe COVID-19 disease, there is conflicting evidence for the association of electronic cigarette use with SARS-CoV-2 infection and COVID-19 disease severity. METHODS: Study participants were from the Kaiser Permanente Research Bank (KPRB), a biorepository that includes adult Kaiser Permanente members from across the United States. Starting in April 2020, electronic surveys were sent to KPRB members to assess the impact of the COVID-19 pandemic. These surveys collected information on self-report of SARS-CoV-2 infection and COVID-related risk factors, including electronic cigarette and combustible cigarette smoking history. We also used electronic health records data to assess COVID-19 diagnoses, positive PCR lab tests, hospitalizations, and death. We used multivariable Cox proportional hazards regression to calculate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) comparing the risk of SARS-CoV-2 infection between individuals by e-cigarette use categories (never, former, and current). Among those with SARS-CoV-2 infection, we used multivariable logistic regression to estimate adjusted odds ratios (ORs) and 95% CIs comparing the odds of hospitalization or death within 30 days of infection between individuals by e-cigarette use categories. RESULTS: There were 126,475 individuals who responded to the survey and completed questions on e-cigarette and combustible cigarette use (48% response rate). Among survey respondents, 819 (1%) currently used e-cigarettes, 3,691 (3%) formerly used e-cigarettes, and 121,965 (96%) had never used e-cigarettes. After adjustment for demographic, behavioral, and clinical factors, there was no association with SARS-CoV-2 infection and former e-cigarette use (hazard ratio (HR) = 0.99; CI: 0.83-1.18) or current e-cigarette use (HR = 1.08; CI: 0.76-1.52). Among those with SARS-CoV-2 infection, there was no association with hospitalization or death within 30 days of infection and former e-cigarette use (odds ratio (OR) = 1.19; CI: 0.59-2.43) or current e-cigarette use (OR = 1.02; CI: 0.22-4.74). CONCLUSIONS: Our results suggest that e-cigarette use is not associated with an increased risk of SARS-CoV-2 infection or severe COVID-19 illness.

Operationalizing and Testing the Concept of a Physical Activity Desert.

BACKGROUND: The prevalence of childhood obesity is higher in economically and socially deprived areas. Higher levels of physical activity reduce the risk of excessive weight gain in youth, and research has focused on environmental factors associated with children's physical activity, though the term "physical activity desert" has not come into wide use. METHODS: This exploratory study operationalized the term "physical activity desert" and tested the hypothesis that children living in physical activity deserts would be less physically active than children who do not. A cross-sectional study design was applied with 992 fifth-grade students who had provided objectively measured physical activity data. Five of 12 possible elements of the built environment were selected as descriptors of physical activity deserts, including no commercial facilities, no parks, low play spaces, no cohesion, and the presence of incivilities. RESULTS: Univariate and multivariate analyses showed that only the absence of parks was associated with less physical activity in children. CONCLUSION: Children living in a "no park" zone were less active than their counterparts who lived near a park. This study contributes preliminary conceptual and operational definitions of "physical activity desert." Future studies of physical activity deserts should be undertaken in larger and more diverse samples.

Neighborhood Socioeconomic Deprivation Associated with Fat Mass and Weight Status in Youth.

(1) Background: Few studies have examined the relationship between neighborhood socioeconomic deprivation (SED) and weight-related outcomes in youth, controlling for weight-related behaviors. Hence, the purpose of this study was to examine the association between neighborhood SED, weight status, and fat mass in a diverse sample of youth, before and after controlling for physical activity and diet. (2) Methods: The sample included 828 youth from the Transitions and Activity Changes in Kids study. Neighborhood SED was expressed as an index score at the census tract of residence. Height, weight, and body composition were measured and used to calculate fat mass index (FMI) and weight status. Moderate-to-vigorous physical activity (MVPA) and sedentary behavior (min/h) were measured via accelerometry. Diet quality was assessed via the Block Food Screener for Kids. Multilevel regression models were employed to examine these relationships. (3) Results: Neighborhood SED was significantly associated with FMI and weight status before and after controlling for MVPA, sedentary behavior, and diet. Notably, youth residing in the most deprived neighborhoods had significantly higher FMI and were 30% more likely to be overweight/obese (OR = 1.30; 95% CI = 1.03-1.65). (4) Conclusions: Greater neighborhood SED was consistently and significantly associated with higher fat mass index and increased likelihood of overweight/obesity among youth.

Poverty Status Moderates the Relationship between Cardiorespiratory Fitness and Academic Achievement.

BACKGROUND: The purpose of the study was to examine the associations among cardiorespiratory fitness (CRF), weight status and academic achievement in youth, and to determine if these relationships are moderated by poverty status. METHODS: The sample included 5th (N = 27,791) and 8th grade (N = 16,047) South Carolina students. Academic achievement was assessed using a state-wide assessment and classified into 2 categories (ie, does not meet/approaches standards vs meets/exceeds standards). CRF was assessed and expressed as Healthy Fitness Zone (HFZ) or Needs Improvement/Needs-Improvement-Health Risk. Students' demographics and poverty status were reported. Multilevel logistic regression analyses were used to examine the association between CRF, weight status and academic achievement. Interaction terms were introduced into the final models. Analyses were performed separately by grade level and academic subject. RESULTS: The CRF was significantly associated with the odds of meeting/exceeding academic standards after controlling for covariates and adjusting for weight status. The relationship between CRF and academic achievement varied significantly by poverty status. After adjustment for CRF, weight status was not significantly associated with academic achievement. CONCLUSIONS: The odds of achieving academic standards were significantly higher among students achieving CRF HFZ regardless of poverty status. CRF may partially mitigate the adverse effect of poverty on academic achievement.

The Association Between Neighborhood Socioeconomic Deprivation, Cardiorespiratory Fitness, and Physical Activity in US Youth.

BACKGROUND: Growing evidence suggests that the broader neighborhood socioeconomic environment is independently associated with cardiometabolic health. However, few studies have examined this relationship among younger populations. PURPOSE: The purpose of the study was to (1) investigate the association between neighborhood socioeconomic deprivation (SED) and cardiorespiratory fitness and (2) determine the extent to which physical activity mediates this relationship. METHODS: Data from 312 youth (aged 12-15 y) were obtained from the 2012 National Health and Nutrition Examination Survey National Youth Fitness Survey. Cardiorespiratory fitness was measured using a standard submaximal treadmill test, and maximal oxygen consumption was estimated. Physical activity was self-reported time spent in moderate to vigorous activity. Neighborhood SED was measured by a composite index score at the census tract of residence. Logistic regression analyses examined relationships between neighborhood SED, physical activity, and cardiorespiratory fitness, adjusting for individual-level characteristics and the complex sampling design. RESULTS: Neighborhood SED was not significantly associated with cardiorespiratory fitness or physical activity among youth in the study sample. CONCLUSIONS: While not significant, cardiorespiratory fitness levels were observed to decrease as neighborhood SED increased. Future research is needed to better understand this relationship and to identify underlying mechanisms beyond fitness or physical activity that may drive the relationship between neighborhood SED and health.

Area-level Socioeconomic Environment and Cardiorespiratory Fitness in Youth.

INTRODUCTION: Cardiorespiratory fitness is one of the most important markers of cardiometabolic health and is a strong predictor of cardiovascular disease and all-cause mortality across the lifespan. However, little is known regarding the relationship of area-level socioeconomic environment on cardiorespiratory fitness during childhood and adolescence. PURPOSE: To examine the relationship between area-level socioeconomic environment and cardiorespiratory fitness in a diverse sample of school-age youth; and to determine the extent to which grade level, sex, race/ethnicity, and student poverty status moderate this relationship. METHODS: South Carolina FitnessGram data for school year 2015 to 2016 were obtained for 44,078 youth. Cardiorespiratory fitness was determined using Progressive Aerobic Cardiovascular Endurance Run or 1-mile run/walk test. Area-level socioeconomic environment was expressed as a composite index score at the census tract level using data from the American Community Survey. Multilevel logistic regression analyses were conducted, controlling for individual-level characteristics and nesting within schools and districts. Interaction terms were then introduced to the model to examine their effect of multiple sociodemographic moderators. RESULTS: Approximately half of the sample had inadequate cardiorespiratory fitness for health. The odds of achieving the Healthy Fitness Zone for cardiorespiratory fitness decreased by approximately 25% to 34% with increasing deprivation of the area-level socioeconomic environment, after controlling for covariates. The association between area-level socioeconomic environment and cardiorespiratory fitness also varied significantly by sex, grade level, and race/ethnicity subgroups. CONCLUSIONS: Cardiorespiratory fitness was positively associated with area-level socioeconomic environment; however, the relationship varied by demographic characteristics. These results highlight the importance of examining the influence of area-level socioeconomic environment on health across the life span. Additional research is needed to explore how area-level socioeconomic environment may impact evidence-based efforts to improve youth cardiorespiratory fitness levels.

Associations among Neighborhood Socioeconomic Deprivation, Physical Activity Facilities, and Physical Activity in Youth during the Transition from Childhood to Adolescence.

BACKGROUND: This study aims to examine the longitudinal association of neighborhood socioeconomic deprivation (SED) with physical activity in youth during the transition from elementary to middle school, and to determine if access to physical activity facilities moderates this relationship. METHODS: Data were obtained from the Transitions and Activity Changes in Kids (TRACK) study, which was a multilevel, longitudinal study designed to identify the factors that influence changes in physical activity as youth transition from elementary to middle school. The analytic sample for the current study included 660 youth with complete data in grades 5 (baseline) and 7 (follow-up). A repeated measures multilevel framework was employed to examine the relationship between SED and physical activity over time and the potential moderating role of elements of the built environment. RESULTS: Decreases in physical activity varied by the degree of neighborhood SED with youth residing in the most deprived neighborhoods experiencing the greatest declines in physical activity. Access to supportive physical activity facilities did not moderate this relationship. CONCLUSION: Future research studies are needed to better understand how neighborhood SED influences youth physical activity over time.

Physical Education Policies in US Schools: Differences by School Characteristics.

BACKGROUND: We assessed the extent to which schools in the United States implement physical education policies identified in SHAPE America's Essential Components of Physical Education document and how implementation of these policies varies by school characteristics. METHODS: School policy data were collected as part of the 2014 School Health Policies and Practices Study via computer-assisted personal interviews in a nationally representative sample of K-12 schools and were linked to extant data on school characteristics. Bivariate analyses and Poisson regression model were used to examine how physical education policies differed by school characteristics. RESULTS: Five physical education policies varied by region and 3 varied by school level. Requiring certified, licensed, or endorsed physical education teachers varied by all school characteristics except school level and percentage of students eligible for free or reduced-price lunch. The average number of physical education policies implemented by schools was 3.0. The number of policies varied by metropolitan status and school level. CONCLUSIONS: The findings suggest many schools are only implementing a few of the physical education policies that can strengthen their physical education programs. These findings can be used to target professional development and technical assistance for physical education practitioners on policy and implementation.

Moderating effect of the neighbourhood physical activity environment on the relation between psychosocial factors and physical activity in children: a longitudinal study.

BACKGROUND: Few studies have examined the moderating role of neighbourhood environments on the relation between psychosocial factors and physical activity, and results of these studies are mixed. This study examined this relationship in 636 fifth to seventh graders from South Carolina, USA. METHODS: From 2010 to 2013, children and their parent/guardian completed annual self-reported surveys assessing psychosocial factors, and children wore accelerometers for 1 week each year. Neighbourhood environments were classified as supportive or non-supportive for physical activity (PA) based on in-person audits of facilities near children's homes and windshield surveys of children's streets. Growth curve analyses were completed to assess the moderating effect of the neighbourhood physical activity environment (NPAE) on the relation between psychosocial factors and total physical activity (TPA) over time. RESULTS: Significant interactions on TPA were found for (1) time, NPAE and parent-reported parent support for PA; (2) time, NPAE and child-reported equipment in the home; (3) child-reported parental support for PA and time; (4) child-reported parental support for PA and NPAE; (5) PA self-schema and time and (6) child-reported parental encouragement and time. Parental support and a supportive NPAE were important for TPA, especially as children transitioned to middle school, whereas home equipment and a supportive NPAE were important for fifth graders' TPA. CONCLUSION: Consistent with the socioecological model, PA behaviour was dependent on interacting effects across levels of influence. Generally, both a supportive NPAE and positive psychosocial factors were needed to support TPA. Factors influencing PA across multiple levels should be addressed in PA interventions.

Specific Strategies for Promotion of Physical Activity in Kids-Which Ones Work? A Systematic Review of the Literature.

The purpose of this systematic review was to summarize and evaluate the impact of physical activity (PA) interventions that were implemented in specific school settings on children's PA in those settings. Four research databases were searched to identify PA interventions. Of the 13 706 articles identified, 1352 abstracts were screened and 32 intervention studies were reviewed. Five intervention settings were identified (active travel, after school, classroom, physical education, and recess). Among these settings, a greater proportion of positive findings (ie, significant increase in PA) were found in the classroom (75%) and active travel (67%) settings. Additionally, a higher proportion of interventions implemented in these settings were of high methodological quality (active travel [33%] and classroom [33%]). These findings indicate that interventions in active travel and classrooms settings positively influence youth PA. Importantly, as evidenced in this review, evaluating intervention effects in the targeted setting may provide unique information for future researchers to consider when developing school-based multicomponent PA interventions.

Secular Changes in Physical Education Attendance Among U.S. High School Students, 1991-2015.

PURPOSE: The purpose of this study was to examine changes in school-based physical education (PE) attendance over time among nationally representative samples of U.S. high school students and how changes in PE attendance have varied across demographic subgroups. METHOD: Student demographic information and PE attendance data were obtained from 13 biennial cycles (1991-2015) of the national Youth Risk Behavior Survey (YRBS). Physical education variables derived from YRBS data included PE attendance, daily PE, average PE days/week, and PE frequency. Logistic regression models examined trends in PE attendance, daily PE, and PE frequency for the overall sample and demographic subgroups. Linear regression models examined trends in average PE days/week in the overall sample only. RESULTS: Overall, there was no significant change in the percentage of students reporting PE attendance during 1991 to 2015. However, daily PE and average PE days/week declined significantly from 1991 to 1995 (41.6% to 25.4% and 4.64 days to 3.64 days, respectively) and then remained stable through 2015 (29.8% and 4.11 days, respectively). The percentage of students reporting a PE frequency of 3 days per week increased significantly from 1991 to 1995 (1.5% to 19.0%) before stabilizing through 2015 (9.1%). Trends across demographic subgroups revealed notable differences in PE attendance. CONCLUSIONS: Study findings showed that U.S. schools have not substantially reduced PE amounts in recent years. Still, the prevalence of PE attendance among U.S. high school students is well below recommendations. For PE to contribute to increased adolescent compliance with national physical activity guidelines, significant policy actions are needed to improve PE access for all students.