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.

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.

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.

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.

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.

School environment, physical activity, and sleep as predictors of suicidal ideation in adolescents: Evidence from a national survey.

INTRODUCTION: Suicide is the second leading cause of death among individuals between 10 and 34 years of age and suicidal ideation substantially increases during adolescence. The purpose of this study was to examine the associations among physical activity, sleep, and factors relating to the school environment with adolescent self-reported rates of suicidal ideation on the 2017 National Risk Behavior Survey (YRBS). METHODS: A multi-stage cluster sampling procedure was employed to yield a representative sample of US adolescents recruited from the 9th through 12th grade. The number of sampled adolescents was 18,324 with 10,125 students submitting questionnaires with useable data for this study. Weighted logistic regression models were employed to examine the predictive utility of physical activity, sleep, and factors related to the school environment with suicidal ideation, adjusting for age, sex, and BMI percentile. RESULTS: Meeting physical activity guidelines every day of the week (OR 0.62, 95% CI: 0.51-0.76), hours of sleep (OR 5.46, 95% CI: 4.21-7.09), and factors relating to the school environment including bringing weapons to school (OR 2.06, 95% CI: 1.24-3.41), perceived school safety (OR 1.59, 95% CI: 1.27-2.00), and being bullied (OR 3.23, 95% CI: 2.71-3.87) and buying illegal drugs at school (OR 1.92, 95% CI: 1.63-2.27) all significantly independently predicted suicidal ideation. CONCLUSIONS: Physical activity, sleep, and the school environment significantly predict suicidal ideation among this national sample of adolescents. These factors should be considered when designing interventions or programs to reduce the risk of suicidal ideation among adolescents.

The Use of a Fitbit Device for Assessing Physical Activity and Sedentary Behavior in Preschoolers.

OBJECTIVE: To determine the accuracy of the Fitbit Flex (FF) activity monitor for assessing preschoolers' physical activity (PA) and sedentary behavior (SED) in free-living conditions. STUDY DESIGN: This is a cross-sectional study of 27 preschoolers (41% girls; age, 4.9 years) who each wore the FF and ActiGraph GT3X+ (AG) simultaneously for 24 hours. Raw data from each device were temporally matched and summarized into estimates of SED, moderate-to-vigorous PA, and total PA after removing sleep and nonwear time periods. Equivalence testing was performed to compare the 90% CIs of the estimates from the FF with the respective equivalence zone (±15% of the mean estimates) from the AG. RESULTS: The FF yielded equivalent estimates of SED (mean difference, 42-71 minutes/day) and total PA (mean difference, 42-70 minutes/day), but lower moderate-to-vigorous PA (mean difference, 29-67 minutes/day) than the AG, on average. The FF showed strong correlations and relatively low mean absolute percent errors (MAPEs) in relation to the AG for SED (r = 0.87; MAPE = 9.1%) and total PA (r = 0.71; MAPE = 14.3%), but a moderate correlation and high MAPE for moderate-to-vigorous PA (r = 0.59; MAPE = 70.1%). CONCLUSIONS: The FF activity monitor accurately estimated the amount of time spent in SED and overall PA in preschool-aged children, but with an underestimation of moderate-to-vigorous PA. Our findings support the use of the FF as a feasible and a relatively accurate PA monitoring tool in clinical and research settings.

Effect of a randomised 12-week resistance training programme on muscular strength, cross-sectional area and muscle quality in women having undergone Roux-en-Y gastric bypass.

The purpose of this study was to examine the effect of a 12-week resistance training programme on fat-free mass (FFM), muscle cross-sectional area, muscular strength and muscle quality in women who underwent Roux-en-Y gastric bypass surgery. Participants were 16 women (mean age = 44.9 ± 10.2 years) from bariatric surgical groups who were randomly assigned into either a control or an intervention group. Air displacement plethysmography measured FFM and magnetic resonance imaging measured quadriceps muscle cross-sectional area and whole thigh muscle cross-sectional area. Muscular strength and quality was assessed using an estimated 1-Repetition Maximum assessment. All measurements were collected twice, at baseline and at a 12-week follow-up. There were significantly greater improvements in leg press strength (mean differences = 55.4%, P < 0.001, Cohen's d = 2.4), leg extension strength (mean differences = 18.0%, P = 0.014, Cohen's d = 0.86) and leg press muscle quality (mean differences = 54.5%, P < 0.001, Cohen's d = 1.9) in the intervention group compared to the control group following the resistance training programme. The resistance training intervention significantly improved muscular strength and quality; however, it did not illicit changes in FFM or muscle cross-sectional area in women who underwent Roux-en-Y gastric bypass surgery.

Establishing school day pedometer step count cut-points using ROC curves in low-income children.

Previous research has not established pedometer step count cut-points that discriminate children that meet school day physical activity recommendations using a tri-axial ActiGraph accelerometer criterion. The purpose of this study was to determine step count cut-points that associate with 30min of school day moderate-to-vigorous physical activity (MVPA) in school-aged children. Participants included 1053 school-aged children (mean age=8.4±1.8years) recruited from three low-income schools from the state of Utah in the U.S. Physical activity was assessed using Yamax DigiWalker CW600 pedometers and ActiGraph wGT3X-BT triaxial accelerometers that were concurrently worn during school hours. Data were collected at each school during the 2014-2015 school year. Receiver operating characteristic (ROC) curves were used to determine pedometer step count cut-points that associated with at least 30min of MVPA during school hours. Cut-points were determined using the maximum Youden's J statistic (J max). For the total sample, the area-under-the-curve (AUC) was 0.77 (p<0.001) with a pedometer cut-point of 5505 steps (J max=0.46, Sensitivity=63%, Specificity=84%; Accuracy=76%). Step counts showed greater diagnostic ability in girls (AUC=0.81, p<0.001; Cut-point=5306 steps; Accuracy=78.8%) compared to boys (AUC=0.72, p<0.01; Cut-point=5786 steps; Accuracy=71.4%). Pedometer step counts showed good diagnostic ability in girls and fair diagnostic ability in boys for discriminating children that met at least 30min of MVPA during school hours.

Waist-to-Height Ratio, Aerobic Fitness, and Cardiometabolic Risk in Hispanic Children From Low-Income U.S. Schools.

PURPOSE: The purpose of this study was to examine the relationships among waist-to-height ratio (WHtR), aerobic fitness, and cardio-metabolic risk factors in Hispanic children from low-income U.S. schools. METHOD: Participants were 198 Hispanic children from low-income schools (Mean age = 10.3 ± 0.5 years; 119 girls, 79 boys). Waist circumference, height, and cardio-metabolic blood markers were collected in a fasted state. Estimated VO2 Peak scores were also collected. Multilevel generalized mixed effects models were employed to examine the independent effect of WHtR and aerobic fitness classification on a child meeting recommended levels for each cardio-metabolic blood marker. RESULTS: A child having a WHtR < 0.5 related to meeting recommended levels for HDL cholesterol (OR = 3.25, p < .01), triglycerides (OR = 2.94, p < .01), glucose (OR = 3.42, p < .01), and related to a lower continuous Mean Arterial Pressure (MAP) score (ß = -8.5 mmHg, p < .01). Aerobic fitness classification only independently related to meeting recommended levels for HDL cholesterol (OR = 2.94, p = .010). CONCLUSION: Having a WHtR < 0.5 independently associated with favorable cardio-metabolic blood markers and thus serves as an effective screening tool for cardio-metabolic risk in Hispanic children from low-income schools.

Development of an aerobic capacity prediction model from one-mile run/walk performance in adolescents aged 13-16 years.

A popular algorithm to predict VO2Peak from the one-mile run/walk test (1MRW) includes body mass index (BMI), which manifests practical issues in school settings. The purpose of this study was to develop an aerobic capacity model from 1MRW in adolescents independent of BMI. Cardiorespiratory endurance data were collected on 90 adolescents aged 13-16 years. The 1MRW was administered on an outside track and a laboratory VO2Peak test was conducted using a maximal treadmill protocol. Multiple linear regression was employed to develop the prediction model. Results yielded the following algorithm: VO2Peak = 7.34 × (1MRW speed in m s(-1)) + 0.23 × (age × sex) + 17.75. The New Model displayed a multiple correlation and prediction error of R = 0.81, standard error of the estimate = 4.78 ml kg(-1) · min(-1), with measured VO2Peak and good criterion-referenced (CR) agreement into FITNESSGRAM's Healthy Fitness Zone (Kappa = 0.62; percentage agreement = 84.4%; Φ = 0.62). The New Model was validated using k-fold cross-validation and showed homoscedastic residuals across the range of predicted scores. The omission of BMI did not compromise accuracy of the model. In conclusion, the New Model displayed good predictive accuracy and good CR agreement with measured VO2Peak in adolescents aged 13-16 years.

Comparison of the Effects of Seated, Supine, and Walking Interset Rest Strategies on Work Rate.

Ouellette, KA, Brusseau, TA, Davidson, LE, Ford, CN, Hatfield, DL, Shaw, JM, and Eisenman, PA. Comparison of the effects of seated, supine, and walking interset rest strategies on work rate. J Strength Cond Res 30(12): 3396-3404, 2016-The idea that an upright posture should be maintained during the interset rest periods of training sessions is pervasive. The primary aim of this study was to determine differences in work rate associated with 3 interset rest strategies. Male and female members of the CrossFit community (male n = 5, female n = 10) were recruited to perform a strenuous training session designed to enhance work capacity that involved both cardiovascular and muscular endurance exercises. The training session was repeated on 3 separate occasions to evaluate 3 interset rest strategies, which included lying supine on the floor, sitting on a flat bench, and walking on a treadmill (0.67 m·s). Work rate was calculated for each training session by summing session joules of work and dividing by the time to complete the training session (joules of work per second). Data were also collected during the interset rest periods (heart rate [HR], respiratory rate [RR], and volume of oxygen consumed) and were used to explain why one rest strategy may positively impact work rate compared with another. Statistical analyses revealed significant differences (p ≤ 0.05) between the passive and active rest strategies, with the passive strategies allowing for improved work rate (supine = 62.77 ± 7.32, seated = 63.66 ± 8.37, and walking = 60.61 ± 6.42 average joules of work per second). Results also suggest that the passive strategies resulted in superior HR, RR, and oxygen consumption recovery. In conclusion, work rate and physiological recovery were enhanced when supine and seated interset rest strategies were used compared with walking interset rest.

Cross-Validation of Aerobic Capacity Prediction Models in Adolescents.

Cardiorespiratory endurance is a component of health-related fitness. FITNESSGRAM recommends the Progressive Aerobic Cardiovascular Endurance Run (PACER) or One mile Run/Walk (1MRW) to assess cardiorespiratory endurance by estimating VO2 Peak. No research has cross-validated prediction models from both PACER and 1MRW, including the New PACER Model and PACER-Mile Equivalent (PACER-MEQ) using current standards. The purpose of this study was to cross-validate prediction models from PACER and 1MRW against measured VO2 Peak in adolescents. Cardiorespiratory endurance data were collected on 90 adolescents aged 13-16 years (Mean = 14.7 ± 1.3 years; 32 girls, 52 boys) who completed the PACER and 1MRW in addition to a laboratory maximal treadmill test to measure VO2 Peak. Multiple correlations among various models with measured VO2 Peak were considered moderately strong (R = .74-0.78), and prediction error (RMSE) ranged from 5.95 ml·kg⁻¹,min⁻¹ to 8.27 ml·kg⁻¹.min⁻¹. Criterion-referenced agreement into FITNESSGRAM's Healthy Fitness Zones was considered fair-to-good among models (Kappa = 0.31-0.62; Agreement = 75.5-89.9%; F = 0.08-0.65). In conclusion, prediction models demonstrated moderately strong linear relationships with measured VO2 Peak, fair prediction error, and fair-to-good criterion referenced agreement with measured VO2 Peak into FITNESSGRAM's Healthy Fitness Zones.

PREDICTORS AND TRENDS OF GROSS MOTOR SKILL PERFORMANCE IN AT-RISK ELEMENTARY SCHOOL-AGED CHILDREN.

-The purpose of this study was to examine the predictors and trends of gross motor skills in children from low-income families. The participants were 1,460 children (M age=8.39 yr., SD=1.83; K-6th grade) recruited from three Title I schools. The Test of Gross Motor Development-2nd Edition (TGMD-2) assessed motor skills, FITNESSGRAM assessed health-related fitness, and pedometers and accelerometers measured moderate-to-vigorous physical activity (MVPA). Multi-level modeling revealed that TGMD-2 scores predicted aerobic capacity, but no other relationships were found with other Healthy Fitness Zone parameters or MVPA. TGMD-2 performance was 4.8 and 4.7% greater in successively higher grade levels for girls and boys, respectively. In conclusion, TGMD-2 scores predict aerobic capacity and TGMD-2 scores improved between 4 and 5% in older grade cohorts separated by 1 year.

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.

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.

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.

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.

"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.

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.