Preliminary Efficacy of a Multi-Behavioral Zoom-Based Peer Health Coaching Intervention in Young Adults: A Stepped Wedge Randomized Controlled Trial.

The purpose of this study was to test the preliminary efficacy of a Zoom-based peer coaching intervention on health and risk behaviors in young adults. A convenience sample of young adults was recruited from one U.S. university (N = 89; 73.0 percent female). Participants were randomized to one of two coaching session sequences within the framework of a stepped wedge randomized controlled trial. One experimental sequence received a control condition and a single coaching session, and the second sequence received two sessions. The intervention was a 1-hour program delivered by peer health coaches in a one-on-one setting on Zoom. The program consisted of a behavior image screen, a consultation, and goal planning. Behavioral assessments were completed after each condition. Mixed-effects models were employed to test for behavior differences after coaching sessions compared with the control condition (no coaching session) adjusting for baseline scores. Participants reported significantly higher levels of vigorous physical activity (b = 750 metabolic equivalent of task minutes, p < 0.001), a lower frequency of e-cigarette use (b = -2.1 days; p < 0.001), and a lower risk of e-cigarette susceptibility after two sessions (relative risk = 0.04, p = 0.05), and higher odds of using stress reduction techniques after one session (odds ratio = 1.4, p = 0.04). A nonsignificant trend was observed for longer weekday sleep (b = 0.4 h/night, p = 0.11) after two coaching sessions. The Zoom-based peer health coaching intervention may be an efficient way to improve vigorous physical activity, lower e-cigarette use and susceptibility, and facilitate the use of stress reduction techniques in young adults. The results observed from this preliminary study warrants further investigation using powered effectiveness trials.

Bidirectional associations of physical activity, sleep, and self-reported mental health in young adults participating in an online wellness intervention during the COVID-19 pandemic.

Purpose: The purpose of this study was to examine the bidirectional associations of physical activity (PA), sleep, and mental health in young adults participating in an online wellness intervention from October 2021 to April 2022. Methods: Participants were a sample of undergraduate students from one US university (N = 89; 28.0% freshman; 73.0% female). The intervention was a 1-h health coaching session that was delivered either once or twice by peer health coaches on Zoom during COVID-19. The number of coaching sessions was determined by random allocation of participants to experimental groups. Lifestyle and mental health assessments were collected at two separate assessment timepoints after each session. PA was assessed using the International Physical Activity Questionnaire-Short Form. Weekday and weekend sleep were assessed by two one-item questionnaires and mental health was calculated from five items. Cross-lagged panel models (CLPMs) examined the crude bidirectional associations of PA, sleep, and mental health across four-time waves (i.e., T1 through T4). To control for individual unit effects and time-invariant covariates, linear dynamic panel-data estimation using maximum likelihood and structural equation modeling (ML-SEM) was also employed. Results: ML-SEMs showed that mental health predicted future weekday sleep (ß = 0.46, p < 0.001) and weekend sleep predicted future mental health (ß = 0.11, p = 0.028). Although CLPMs showed significant associations between T2 PA and T3 mental health (ß = 0.27, p = 0.002), no associations were observed when unit effects and time-invariant covariates were accounted for. Conclusion: Self-reported mental health was a positive predictor of weekday sleep and weekend sleep positively predicted mental health during the online wellness intervention.

Development of an Online Mind-Body Physical Activity Intervention for Young Adults during COVID-19: A Pilot Study.

The purpose of this study was to examine the association between the implementation of an online mind-body physical activity (MBPA) intervention and physical activity (PA), stress, and well-being in young adults during COVID-19. The participants were a sample of college students (N = 21; 81% female). The MBPA intervention was organized in four online modules that were administered asynchronously for 8 weeks with three separate 10 min sessions per week. The intervention components consisted of traditional deep breathing, diaphragm mindful breathing, yoga poses, and walking meditation. Objective PA behaviors were assessed using wrist-worn ActiGraph accelerometers, and stress and well-being data were collected using validated self-report instruments. A 2 (sex) × 3 (time) doubly multivariate analysis of variance test with a univariate follow-up showed that the % of wear time in light (LPA) and moderate-to-vigorous physical activity (MVPA) was significantly higher at the end of the intervention compared to baseline (LPA mean difference = 11.3%, p = 0.003, d = 0.70; MVPA mean difference = 2.9%, p < 0.001, d = 0.56). No significant differences were observed for perceived stress and well-being, and there was no moderating effect of sex. The MBPA intervention showed promise, as it was associated with higher PA in young adults during COVID-19. No improvements were observed for stress and well-being. These results warrant further testing of the intervention's effectiveness using larger samples.

"I Felt Grounded and Clear-Headed": Qualitative Exploration of a Mind-Body Physical Activity Intervention on Stress Among College Students During COVID-19.

The COVID-19 pandemic affected college students' overall health. The aims of this qualitative inquiry were to provide a more comprehensive understanding of the effectiveness of the mind-body physical activity (MBPA) intervention and to explore the MBPA intervention experiences through the use of journals and photographs (photovoice) of a purposeful sample of 21 college students during the COVID-19 pandemic. An inductive qualitative process was used to explore the data that emerged from photovoice images and journals. Students' experiences were encapsulated in 6 key themes: (1) holistic individual well-being; (2) physical activity as a matter of necessity; (3) mind-body physical activity intervention impacts; (4) broadening strategies for adapting and reacting; (5) systemic effect of stress management changes; and (6) perceiving causes of stress. Participants reflected collective intellectual, physical, and emotional fatigue as obstacles and perceived stress. The quality of COVID-19 related perspectives and stressful experiences are defined from traumatic and overwhelming to higher than normal. Findings from this study contribute to our understanding of the distinctive factors of the COVID-19 era among college students. Health educators should consider the implementation of multilevel and multicomponent MBPA interventions, and our findings highlight the utility of supporting higher education students in a meaningful way.

Changes in college students' health behaviors and substance use after a brief wellness intervention during COVID-19.

College students exhibit low levels of physical activity, high levels of sedentary behavior, poor dietary behaviors, sleep problems, high stress, and increased substance use. On-campus resources offering programs to improve college students' health have been limited during the pandemic. The purpose of this study was to test a brief intervention to improve multiple health behaviors among United States college students. The intervention was a single arm repeated measures study conducted over 12 weeks, utilizing the Behavior Image Model. The intervention involved three components: a survey, a 25-minute wellness specialist consult with a peer health coach, and a 15-minute goal planning session. Follow-up measures were completed at 2-, 6-, and 12-weeks post session to assess changes in wellness behaviors. Linear mixed effects models for repeated measures were used to analyze the association between intervention implementation on within-subject changes in physical activity, sedentary behavior, diet, general health, emotional wellness, and substance use. A total of 121 participants enrolled in the study and 90 (74.4%) completed the health coach session (71% female). At first follow-up, statistically significant increases were observed in vigorous physical activity days/week (coef. = 0.5,95%CI: 0.2,0.9), moderate physical activity days/week (coef. = 0.7, 95%CI: 0.2,1.1), general health (coef. = 4.8,95%CI: 2.1, 7.5), and emotional wellness (coef. = 8.6,95%CI: 5.8, 11.3). Statistically significant decreases in cannabis use (coef. = -2.3,95%CI:-4.1, -0.5) and alcohol consumption (coef. = -2.5,95%CI: -3.7,-1.3) were observed. Many of these changes were sustained at second and third follow-up. This brief wellness intervention shows promise to positively influence multiple health behaviors in college students.

Bidirectional relationships of physical activity and gross motor skills before and after summer break: Application of a cross-lagged panel model.

BACKGROUND: Gross motor skills are postulated to have a bidirectional relationship with physical activity (PA); however, no study has tested this relationship before and after a summer break. The purpose of this study was to examine the bidirectional relationships between school PA and gross motor skills in children before and after a summer break. METHODS: Participants were a sample of 440 children recruited from 3 low-income schools (age = 8.9 ± 1.2 years, mean ± SD). PA was assessed as average school-day step counts using Yamax DigiWalker pedometers (Yamasa Tokei Keiki, Tokyo, Japan) worn for 5 consecutive school days. Gross motor skills were assessed using the Test for Gross Motor Development, 3rd edition. Data were collected at 2 timepoints: at the end of spring semester (T1) and at the beginning of the subsequent fall semester (T2). An age- and body mass index-adjusted cross-lagged model was employed to relate T1 school step counts with T2 gross motor skills and T1 gross motor skills with T2 school step counts. RESULTS: T1 gross motor skills significantly predicted T2 school step counts (ß = 0.24, 95 % confidence interval (95%CI): 0.08-0.40, p = 0.003); however, T1 school step counts did not predict T2 gross motor skills (ß = 0.04, 95%CI: -0.06 to 0.14, p = 0.445). The model explained 35.4% and 15.9% of the variances of T2 gross motor skills and T2 school step counts, respectively. Additional analyses indicated that these relationships were driven primarily by ball skills. CONCLUSION: The relationship between gross motor skills and school PA was not bidirectional; however, higher gross motor skills, specifically ball skills, predicted higher school PA after a 3-month summer break.

Validation of the Apple Watch for Estimating Moderate-to-Vigorous Physical Activity and Activity Energy Expenditure in School-Aged Children.

The Apple Watch is one of the most popular wearable devices designed to monitor physical activity (PA). However, it is currently unknown whether the Apple Watch accurately estimates children's free-living PA. Therefore, this study assessed the concurrent validity of the Apple Watch 3 in estimating moderate-to-vigorous physical activity (MVPA) time and active energy expenditure (AEE) for school-aged children under a simulated and a free-living condition. Twenty elementary school students (Girls: 45%, age: 9.7 ± 2.0 years) wore an Apple Watch 3 device on their wrist and performed prescribed free-living activities in a lab setting. A subgroup of participants (N = 5) wore the Apple Watch for seven consecutive days in order to assess the validity in free-living condition. The K5 indirect calorimetry (K5) and GT3X+ were used as the criterion measure under simulated free-living and free-living conditions, respectively. Mean absolute percent errors (MAPE) and Bland-Altman (BA) plots were conducted to assess the validity of the Apple Watch 3 compared to those from the criterion measures. Equivalence testing determined the statistical equivalence between the Apple Watch and K5 for MVPA time and AEE. The Apple Watch provided comparable estimates for MVPA time (mean bias: 0.3 min, p = 0.91, MAPE: 1%) and for AEE (mean bias: 3.8 kcal min, p = 0.75, MAPE: 4%) during the simulated free-living condition. The BA plots indicated no systematic bias for the agreement in MVPA and AEE estimates between the K5 and Apple Watch 3. However, the Apple Watch had a relatively large variability in estimating AEE in children. The Apple Watch was statistically equivalent to the K5 within ±17.7% and ±20.8% for MVPA time and AEE estimates, respectively. Our findings suggest that the Apple Watch 3 has the potential to be used as a PA assessment tool to estimate MVPA in school-aged children.

Parent Preferences for Physical Activity in Before and After School Programs in Rural and Suburban Communities: A Discrete Choice Experiment.

BACKGROUND: The purpose of this study was to examine and compare parent preferences of before and after school physical activity program components in rural and suburban elementary schools. METHODS: A discrete choice experiment was conducted to measure parent preferences for components of before/after school programs. A total of 183 parents (age = 37.2 [8.2] y, 155 females) sampled from 15 elementary schools (K-6 grades) in the Western United States took part in the study, half of which were from a rural community (n = 93, 50.8%). Results from the discrete choice experiment were analyzed using hierarchic Bayesian methodology, which estimated utility scores and was used to calculate important scores for program components. RESULTS: The specific goal of the before/after school program was the strongest determinant of parents' stated choice overall, followed by leaders, time of day, length, and main focus. Learning sports as the physical activity goal was the top-rated attribute. Subgroup analyses revealed discrepancies between suburban and rural parents and parents of boys and girls. CONCLUSION: This study extends the application of discrete choice experiments to school-based programming, providing a unique way to design empirically based, stakeholder informed school programs, specifically within before and after school settings.

Parent and Child Perceptions of Barriers to Active School Commuting.

BACKGROUND: Active commuting (AC) to and from school can contribute to physical activity, although it has recently seen a global decline. The purpose of this study was to examine the agreement between parent and child perceptions of barriers to school AC. METHODS: Participants were parents (N = 152, Mage  = 40.6 ± 6.3 years) and elementary school children (N = 98, Mage  = 10.0 ± 1.2 years). School commute type/frequency and barriers to AC were collected via surveys. Intraclass correlation coefficients (ICCs) were used to assess relative agreement between parent and child perceptions (N = 98 dyads). Paired t tests and equivalence testing were employed to assess group-level agreement. Bland-Altman analysis was used to assess individual-level agreement. Partial correlations of AC with perceptions were also assessed. RESULTS: All parent and child perceptions of barriers to AC to school had low agreement. Bland-Altman Plots indicated negative bias for all but 3 barrier perceptions. Paired t tests indicated significant differences between parent and child perceptions for 8 out of 15 barriers while equivalence testing deemed no parent-child perception equivalent. Partial correlations with AC frequency were significant for 7 parent perceptions and 2 child perceptions. CONCLUSIONS: Parent and child perceptions have low agreement. Programs aimed at promoting AC to and from school should account for these discrepancies.

Physical activity in the early postpartum period in primiparous women.

Little is known about early postpartum physical activity (PA). OBJECTIVES: We aimed to describe PA amount and types and compare moderate-vigorous PA (MVPA) at 12-25 (T1) and 33-46 days (T2) postpartum. DESIGN: Cross-sectional study. METHODS: Participants, primiparas delivered vaginally, wore wrist accelerometers and completed questionnaires. Median and interquartile range (IQR) describe minutes/day of PA intensities in total minutes, 5- and 10-minute bouts. Wilcoxon Signed Rank test compared MVPA. RESULTS: 577 (age: 28.3 (SD: 5.1)) had accelerometry or questionnaire at either time-point. 405 had accelerometry at both time-points. Median (IQR) total minutes/day for light, moderate, vigorous and MVPA were 295.8 (256.1-331.7), 54.6 (40-72.7), 0.4 (0.2-0.8), and 55.5 (40.4-74.3), respectively, at T1 and 329 (289.4-367.1), 63.6 (46.9-82.2), 0.6 (0.3-1.3), and 64.5 (47-84.8), respectively, at T2. Median (IQR) minutes/day for MVPA in 5- and 10-minute bouts were 1.6 (0-5.5) and 0 (0-3.8) at T1, and 3 (0-9.2) and 0 (0-5.5) at T2. At T1, 75% (406/541) and at T2, 72.4% (397/548) reported non-impact activities. At T1, 4% and at T2, 13% reported impact/straining activities. MVPA was greater at T2 than T1 (p < 0.0001) with medians (IQR) of: total: 64.7 (47-84.6) vs 56.5 (41-74.9) minutes; 5-minute bouts: 3 (0-9.8) vs 1.7 (0-5.6) minutes; and 10-minute bouts: 1.3(0-6) vs 0(0-3.8) minutes. CONCLUSIONS: Women had high daily MVPA, though MVPA in bouts remained low. Significant increases in MVPA from T1 to T2 were small, few women reported impact/straining activities. Realistic return to pre-pregnancy PA levels should recognize the relative lack of sustained/strenuous activity in early postpartum.

School-based physical activity interventions in rural and urban/suburban communities: A systematic review and meta-analysis.

Disparities in physical activity and health outcomes exist between urban and rural youth. School settings can be utilized to promote physical activity in youth regardless of urban-rural status. This systematic review and meta-analysis aimed to assess and compare the effect of rural and urban/suburban school-based physical activity programs on total physical activity in youth. A search of five databases was conducted. A total of 33 studies remained after the exclusion process, 28 of which took place in urban/suburban schools and five of which took place in rural schools. The DerSimonian and Laird random effects model was employed with the estimates of heterogeneity taken from the inverse-variance fixed-effect model. For rural studies, the Hartung-Knapp-Sidak-Jonkman method was used to obtain error estimates. Results from the total sample indicated a significant but small pooled increase in daily physical activity (Hedge's g = 0.12, 95% confidence interval [CI]: 0.06-0.18), which held for interventions conducted in urban/suburban schools (Hedge's g = 0.12, 95% CI: 0.06-0.19). For rural school-based interventions, there was no significant pooled effect (Hedge's g = 0.06, 95% CI: -0.50 to 0.61). This meta-analysis provides evidence that school-based interventions can be marginally effective for increasing daily physical activity in children and adolescents; however, no effect was observed for interventions implemented in rural settings.

Segmented School Physical Activity and Weight Status in Children: Application of Compositional Data Analysis.

The purpose of this study was to apply compositional data analysis (CoDA) for the analysis of segmented school step counts and associate the school step count composition to body mass index (BMI) z-scores in a sample of children. Participants were 855 (51.8% female) children recruited from the fourth and fifth grades from four schools following a 7-h school schedule. Using piezoelectric pedometers, step count data were collected during physical education, recess, lunch, and during academic class time. A multi-level mixed effects model associated the step count composition with BMI z-scores. Compositional isotemporal substitution determined changes in BMI z-scores per reallocation of steps between pairs of school segments. A higher percentage of steps accrued during physical education (b = -0.34, 95%CI: -0.65--0.03, p = 0.036) and recess (b = -0.47, 95%CI: -0.83--0.11, p = 0.012), relative to other segments, was associated with lower BMI z-scores. Specifically, a 5% to 15% reallocation of steps accrued during lunchtime to either physical education or recess was associated with lower BMI z-scores, ranging from -0.07 to -0.25 standard deviation units. Focusing school-based promotion of physical activity during physical education and recess may have greater relative importance if targeted outcomes are weight-related.

The Validity of MotionSense HRV in Estimating Sedentary Behavior and Physical Activity under Free-Living and Simulated Activity Settings.

MotionSense HRV is a wrist-worn accelerometery-based sensor that is paired with a smartphone and is thus capable of measuring the intensity, duration, and frequency of physical activity (PA). However, little information is available on the validity of the MotionSense HRV. Therefore, the purpose of this study was to assess the concurrent validity of the MotionSense HRV in estimating sedentary behavior (SED) and PA. A total of 20 healthy adults (age: 32.5 ± 15.1 years) wore the MotionSense HRV and ActiGraph GT9X accelerometer (GT9X) on their non-dominant wrist for seven consecutive days during free-living conditions. Raw acceleration data from the devices were summarized into average time (min/day) spent in SED and moderate-to-vigorous PA (MVPA). Additionally, using the Cosemed K5 indirect calorimetry system (K5) as a criterion measure, the validity of the MotionSense HRV was examined in simulated free-living conditions. Pearson correlations, mean absolute percent errors (MAPE), Bland-Altman (BA) plots, and equivalence tests were used to examine the validity of the MotionSense HRV against criterion measures. The correlations between the MotionSense HRV and GT9X were high and the MAPE were low for both the SED (r = 0.99, MAPE = 2.4%) and MVPA (r = 0.97, MAPE = 9.1%) estimates under free-living conditions. BA plots illustrated that there was no systematic bias between the MotionSense HRV and criterion measures. The estimates of SED and MVPA from the MotionSense HRV were significantly equivalent to those from the GT9X; the equivalence zones were set at 16.5% for SED and 29% for MVPA. The estimates of SED and PA from the MotionSense HRV were less comparable when compared with those from the K5. The MotionSense HRV yielded comparable estimates for SED and PA when compared with the GT9X accelerometer under free-living conditions. We confirmed the promising application of the MotionSense HRV for monitoring PA patterns for practical and research purposes.

Mothers' Diet and Family Income Predict Daughters' Healthy Eating.

INTRODUCTION: Understanding the degree to which parents may influence healthy behaviors may provide opportunities to intervene among populations at increased risk of diseases, such as breast cancer. In this study, we examined the association between daughters' healthy eating habits and family lifestyle behaviors among girls and their families by using baseline data from the LEGACY (Lessons in Epidemiology and Genetics of Adult Cancer from Youth) Girls Study. Our objective was to examine the relationship between daughters' healthy eating and family lifestyle behaviors and to compare these associations between families with and without a history of breast cancer. METHODS: We examined demographic and lifestyle data from a cohort of 1,040 girls aged 6 to 13 years from year 1 (2011) of the LEGACY study. Half had a family history of breast cancer (BCFH). We used mixed-effects linear regression to assess the influence of the mother and father's physical activity, family relationship scores, the mother's diet, the family's income, and the daughter's sports participation, age, body mass index (BMI), and race/ethnicity on the daughter's Healthy Eating Index (HEI) score. RESULTS: Daughters' healthy eating was significantly correlated with the mother's diet (r[668] = 0.25, P = .003) and physical activity (r[970] = 0.12, P = .002), the father's physical activity (r[970] = 0.08, P = .01), and the family income (r[854] = 0.13, P = .006). Additionally, the mother's diet (ß coefficient = 0.71, 95% CI, 0.46-0.88, P = .005) and family income (ß coefficient = 3.28, 95% CI, 0.79-5.78, P = .002) significantly predicted a daughter's healthy eating. Analyses separated by family history status revealed differences in these associations. In families without a history of breast cancer, only the mother's diet (ß coefficient = 0.62; 95% CI, 0.29-0.95; P = .001) significantly predicted the daughter's healthy eating. In families with a history of breast cancer, the mother's diet (ß coefficient = 0.73, 95% CI, 0.42-1.03, P = .006) and family income (ß coefficient = 6.24; 95% CI, 2.68-9.80; P = .004) significantly predicted a daughter's healthy eating. CONCLUSION: A mother's diet and family income are related to the daughter's healthy eating habits, although differences exist among families by family history of breast cancer.

Children's moderate-to-vigorous physical activity on weekdays versus weekend days: a multi-country analysis.

PURPOSE: The Structured Days Hypothesis (SDH) posits that children's behaviors associated with obesity - such as physical activity - are more favorable on days that contain more 'structure' (i.e., a pre-planned, segmented, and adult-supervised environment) such as school weekdays, compared to days with less structure, such as weekend days. The purpose of this study was to compare children's moderate-to-vigorous physical activity (MVPA) levels on weekdays versus weekend days using a large, multi-country, accelerometer-measured physical activity dataset. METHODS: Data were received from the International Children's Accelerometer Database (ICAD) July 2019. The ICAD inclusion criteria for a valid day of wear, only non-intervention data (e.g., baseline intervention data), children with at least 1 weekday and 1 weekend day, and ICAD studies with data collected exclusively during school months, were included for analyses. Mixed effects models accounting for the nested nature of the data (i.e., days within children) assessed MVPA minutes per day (min/day MVPA) differences between weekdays and weekend days by region/country, adjusted for age, sex, and total wear time. Separate meta-analytical models explored differences by age and country/region for sex and child weight-status. RESULTS/FINDINGS: Valid data from 15 studies representing 5794 children (61% female, 10.7 ± 2.1 yrs., 24% with overweight/obesity) and 35,263 days of valid accelerometer data from 5 distinct countries/regions were used. Boys and girls accumulated 12.6 min/day (95% CI: 9.0, 16.2) and 9.4 min/day (95% CI: 7.2, 11.6) more MVPA on weekdays versus weekend days, respectively. Children from mainland Europe had the largest differences (17.1 min/day more MVPA on weekdays versus weekend days, 95% CI: 15.3, 19.0) compared to the other countries/regions. Children who were classified as overweight/obese or normal weight/underweight accumulated 9.5 min/day (95% CI: 6.9, 12.2) and 10.9 min/day (95% CI: 8.3, 13.5) of additional MVPA on weekdays versus weekend days, respectively. CONCLUSIONS: Children from multiple countries/regions accumulated significantly more MVPA on weekdays versus weekend days during school months. This finding aligns with the SDH and warrants future intervention studies to prioritize less-structured days, such as weekend days, and to consider providing opportunities for all children to access additional opportunities to be active.

Rationale for the Essential Components of Physical Education.

Purpose: This introductory article provides the context and rationale for conducting systematic literature reviews on each of the essential components of physical education, including policy and environment, curriculum, appropriate instruction, and student assessment. Methods: Four research teams from Doctoral Physical Education Teacher Education programs (D-PETE) conducted these systematic reviews using the PRISMA guidelines process. Results: This article explains the role of the national framework for increasing physical education and physical activity (i.e., Comprehensive School Physical Activity Program) in supporting the essential components of physical education. It also highlights the expectations for physical education and provides a brief history of these components. Lastly, this article highlights each of the articles presented in the special feature. Conclusion: Understanding the implementation of these components may be important for improving the physical education experience for all students and creating a foundation for lifelong physical activity and health.

Associations Among K-12 Student Outcomes, National Standards, and Physical Education Curricular Models: A Systematic Review.

Purpose: The purpose of this article was to systematically review studies that explored associations between specific curricular models, as an essential component of physical education, and to assess how the student outcomes identified in the models aligned with the national standards. Methods: Using the PRISMA guidelines to identify, screen, determine eligibility, and include relevant ones, studies were extracted by a search of six databases using terms related to physical education-specific curricular models and student outcome measures. After screening, 23 articles met the inclusion criteria. Results: Students included in these studies ranged from 3rd-12th grade, although the majority of studies used students from 3rd-8th grade. A total of 58 associations between eight physical education curricular models and student outcomes were assessed, with 41 (70.6%) of those associations being beneficial. Student outcomes included measures of physical activity and fitness, psychosocial variables, classroom behavior, and knowledge. Aligning the national standards to these studies revealed that specific standards were underrepresented compared to others. Conclusions: Results of this systematic review suggest that there is some association between curricular models and student outcomes, although results reported for specific student populations, particularly K-2nd grade, were lacking. Furthermore, specific student outcomes related to the national standards were underrepresented compared to others. Researchers should take a standards-based approach when deciding which student outcomes to measure and should further explore the associations between curricular models and student outcomes across grade levels.

Associations of Physical Activity, School Safety, and Non-Prescription Steroid Use in Adolescents: A Structural Equation Modeling Approach.

Non-prescription steroid use can negatively impact adolescent physical and mental health and wellbeing. Determining correlates of this risk behavior is needed to help mitigate its prevalence. Two potential correlates are physical activity and school safety. The purpose of this study was to examine the associations of physical activity, school safety, and non-prescription steroid use within a sample of adolescents from the 2015-2019 US National Youth Risk Behavior Survey (YRBS). A multi-stage cluster sampling procedure yielded a representative sample of US adolescents from the 2015-2019 YRBS (n = 44,066; 49.6% female). Two latent variables indicating physical activity and unsafe schools were the independent variables. The dependent variable was a self-report of non-prescription steroid use. A weighted structural equation model examined the associations between physical activity and unsafe schools with non-prescription steroid use, controlling for age, sex, BMI %tile, race/ethnicity, and sexual minority status. The latent physical activity variable did not associate with non-prescription steroid use (ß = 0.007, 95%CI: -0.01-0.02, p = 0.436); however, the unsafe schools latent variable did associate with non-prescription steroid use (ß = 0.64, 95%CI: 0.59-0.69, p < 0.001). An unsafe school environment may be a determinant of non-prescription steroid use in adolescents. Physical activity behaviors did not associate with steroid use.

Influence of meeting weekday and weekend step count recommendations on weight statusin children.

The purpose of this study was to investigate the relationship between meeting step count recommendations during the weekday and weekend and the weight status in school-aged children. A convenience sample of 855 fourth and fifth grade students (9.7 ± 1.0 years) was recruited from 4 elementary schools located in the Western United States. Body Mass Index (BMI) was calculated using standard procedures and then stratified to weight status categories (healthy weight, overweight/obese) using age- and sex-specific percentiles. Step counts were monitored for seven consecutive days using NL-1000 piezoelectric pedometers. A multilevel generalized linear mixed effect model was used to estimate the odds ratios of meeting segmented step counts recommendations and weight status. Students meeting weekday step count recommendations associated with 39% lower odds of overweight/obesity compared to those not meeting any recommendations (P = 0.02). Those meeting both weekday and weekend recommendations associated with 67% lower odds of overweight/obesity compared to children not meeting any recommendations (P = 0.01). Meeting weekend step count recommendations did not associate with weight status. This study supports the positive relationship between segmented step counts and the healthy weight status of school-aged children.

Physical Activity and Sports Participation Associates With Cognitive Functioning and Academic Progression: An Analysis Using the Combined 2017-2018 National Survey of Children's Health.

BACKGROUND: The purpose of this study was to examine the independent and joint associations between physical activity (PA) and sports participation on academic performance variables within a representative sample of children and adolescents. METHODS: Data were analyzed from the combined 2017-2018 National Survey of Children's Health. Household addresses were randomly selected within each US state. One household parent answered health and wellness questions pertaining to one randomly selected household child (N = 37,392; 48.1% female; 6- to 17-y old). Weighted logistic regression models were employed to examine the independent and joint associations between child PA frequency and sports participation with academic performance variables, adjusting for child- and family-level covariates. RESULTS: Child PA frequency independently associated with 37% to 46% lower odds and child sports participation independently associated with 53% lower odds of reported difficulty concentrating, remembering, or making decisions (P < .001). For children who participated in sports, PA associated with 47% to 56% lower odds of ever repeating a grade level (P = .01). CONCLUSIONS: Frequency of weekly PA and sports participation independently and negatively associated with difficulty concentrating, remembering, and making decisions, whereas the negative association between PA and ever repeating a grade level differed by child sports participation status.