Development, scoring, and reliability for the Microscale Audit of Pedestrian Streetscapes for Safe Routes to School (MAPS-SRTS) instrument.

BACKGROUND: Active commuting to school can be a meaningful contributor to overall physical activity in children. To inform better micro-level urban design near schools that can support active commuting to school, there is a need for measures that capture these elements. This paper describes the adaptation of an observational instrument for use in assessing micro-scale environments around urban elementary schools in the United States. METHODS: The Micro-scale Audit of Pedestrian Streetscapes for Safe Routes to School (MAPS-SRTS) was developed from existing audit instruments not designed for school travel environments and modifications for the MAPS-SRTS instrument include the structure of the audit tool sections, the content, the observation route, and addition of new subscales. Subscales were analyzed for inter-rater reliability in a sample of 36 schools in Austin, TX. To assess reliability for each subscale, one-way random effects single-measure intraclass correlation coefficients (ICC) were used. RESULTS: Compared to the 30 original subscales, the adapted MAPS-SRTS included 26 (86.6%) subscales with revised scoring algorithms. Most MAPS-SRTS subscales had acceptable inter-rater reliability, with an ICC of 0.97 for the revised audit tool. CONCLUSIONS: The MAPS-SRTS audit tool is a reliable instrument for measuring the school travel environment for research and evaluation purposes, such as assessing human-scale determinants of active commuting to school behavior and documenting built environment changes from infrastructure interventions.

Association of Walking and Biking to School Policies and Active Commuting to School in Children.

BACKGROUND: Active commuting to school (ACS) can be an important source of physical activity for children. Schools are an important setting for policy-related ACS promotion. The purpose of this study was to examine the association between school policies and ACS, and to assess whether this relation varied by grade. METHODS: This cross-sectional study used data from schools recruited to the Safe Travel Environment Evaluation in Texas School study (n = 94). The percent of trips made by active travel modes was measured through tallies among third to fifth grade classrooms from 5 school districts in Central Texas in 2018-2019. School ACS policies and practices were measured through 8 survey items aggregated into a score. Linear mixed effects models were used to assess the association between policies and ACS. RESULTS: School health policy surveys and ACS data were collected from 69 elementary schools. An average of 14.6% of trips to/from school was made using active travel modes. Schools with higher numbers of policies had significantly higher percentages of students using active travel modes (P = .03), and for each additional policy, the predicted percentage of trips made by active travel modes was 1.46% higher. There was a significant interaction effect between school policy and grade, with stronger correlations among higher grades (P = .002). CONCLUSIONS: Results from this study demonstrate a correlation between the school policies designed to support walking and biking and ACS. Results from this study can be used to justify the use of school-based policy interventions to promote ACS.

Exploring Models for Youth Engagement in Community Health Planning: The Youth-led Community Health Learning Initiative.

BACKGROUND: Community health assessment and improvement planning processes (CHA/CHIP) are often challenged with developing health actions that reach across a large community, city or county and that incorporate locally informed issues and place-specific strategies. In co-learning about approaches for enhancing CHA/CHIP processes through youth stakeholder input, a partnership of academic and community leaders came together to create The Youth-Led Community Health Learning Initiative (YLCHLI), a 1-year pilot initiative aimed at identifying health needs and assets in partnership with youth leaders and two central Texas communities. OBJECTIVE: To describe our approach, key findings, and lessons learned in implementing the YLCHLI in two different organizational settings: a high school-based setting and a community-based organization setting. METHODS: Guided by a community advisory board and the Mobilizing for Action through Planning and Partnerships framework, the YLCHLI incorporated a mixed methods design consisting of quantitative community health indicator analysis for topics identified in the Austin/Travis County CHA followed by a youth-led qualitative assessment of selected health issues via methods that included participatory mapping, data walks, and photovoice. RESULTS: Youth-informed findings provided rich insights and context for understanding disparities in selected health issues, including identification of social and environmental barriers to physical activity, healthy eating, health services, and mental health, and locally informed recommendations for community health improvement. CONCLUSION: High school health science tracks and community- based organizations represent promising settings for fostering community partnerships and youth engagement in identifying local health needs and opportunities that can enhance community health improvement planning and contribute to positive youth development.

Longitudinal changes in objectively-measured physical activity and sedentary time among school-age children in Central Texas, US during the COVID-19 pandemic.

BACKGROUND: Most available evidence on the effects of the COVID-19 pandemic on child movement behaviors is from cross-sectional studies using self-report measures. This study aimed to identify change trajectories and their associated factors for objectively-assessed physical activity and sedentary time among an ethnically and socioeconomically diverse sample of school-age children from Central Texas, U.S.A., during COVID-19. METHODS: Pre- (Sept. 2019 - Feb. 2020) and during- (Oct. 2020 - March 2021) COVID-19 physical activity and sedentary behavior data were collected for school-age children (8-11 years) enrolled in the Safe Travel Environment Evaluation in Texas Schools (STREETS) cohort study. Daily time spent in moderate- to vigorous-intensity physical activity (MVPA) and sedentary time were assessed using GT3X-wBT Actigraph accelerometers. Parent surveys were used to assess socio-ecological factors. Latent class linear mixed models were used to identify change trajectories of MVPA and sedentary time. Logistic regression models were used to assess the association between socio-ecological characteristics with physical activity and sedentary time change trajectory groups. RESULTS: There was a significant decrease in mean daily MVPA (- 9.4 mins, SD = 18.54) and an increase in sedentary behavior (0.83 hrs, SD = 1.18). Two trajectory groups were identified for MVPA ('decrease MPVA' and 'maintain high MVPA'), with the majority (82.1%) being in the 'decrease MVPA' group. Three trajectory groups were identified for sedentary behavior ('moderate increase sedentary, 'steep increase sedentary,' and 'decrease sedentary'), with most children (78.5%) being in the 'moderate increase' group. Girls had significantly lower odds of being in the 'maintain high MVPA' group than boys (OR = 0.27, 95% CI = 0.11, 0.61). Children living in neighborhoods with higher perceived social cohesion had significantly higher odds of being in the 'maintain high MVPA' group (OR = 1.22, 95% CI = 1.06, 1.41), while those in neighborhoods with higher social cohesion had lower odds of being in the 'decrease sedentary' group (OR = 0.86, 95% CI = 0.74, 0.99). CONCLUSIONS: Declines in physical activity and increases in sedentary time among most school-age children during COVID-19 in a socioeconomically and ethnically diverse U.S. sample, were observed in our study, especially among girls. These findings highlight the need to counteract the short-term negative changes in movement behaviors in response to COVID-19 among children.

Effects of Large-Scale Municipal Safe Routes to School Infrastructure on Student Active Travel and Physical Activity: Design, Methods, and Baseline Data of the Safe Travel Environment Evaluation in Texas Schools (STREETS) Natural Experiment.

Past evaluations of Safe Routes to School (SRTS) programs have been relatively small in scope and have lacked objective measurements of physical activity. A 2016 Mobility Bond in Austin, Texas, USA, allocated USD 27.5 million for infrastructure changes to facilitate active commuting to schools (ACS). The Safe TRavel Environment Evaluation in Texas Schools (STREETS) study aims to determine the health effects of these infrastructure changes. The purpose of this paper is to describe the STREETS study design, methods, and selected baseline results. The STREETS study is comprised of two designs: (1) a serial cross-sectional design to assess changes in ACS prevalence, and (2) a quasi-experimental, prospective cohort to examine changes in physical activity. Differences between study arms (Austin SRTS and comparison) were assessed for school demographics, ACS, and school programs. At baseline, 14.3% of school trips were made by ACS, with non-significant differences between study arms. Only 26% of schools implemented ACS-related programs. Some significant differences across SRTS and comparison schools were identified for several school- and neighborhood-level characteristics. Substantial changes are needed across area schools and neighborhoods to promote optimum ACS. STREETS study longitudinal findings will be critical for informing optimal future implementations of SRTS programs.

School-Level Economic Disparities in Police-Reported Crimes and Active Commuting to School.

Perceived safety remains one of the main barriers for children to participate in active commuting to school (ACS). This ecological study examined the associations between the number of police-reported crimes in school neighborhoods and ACS. The percentage of active travel trips was assessed from a teacher tally survey collected from students across 63 elementary schools that were primarily classified as high-poverty (n = 27). Geographic Information System (GIS) was used to create a detailed measure of police-reported crimes during 2018 and neighborhood covariates that occurred within a one-mile Euclidean buffer of the schools. Statistical analyses included linear fixed effects regressions and negative binomial regressions. In fully-adjusted models, reported crime did not exhibit significant associations with ACS. Medium-poverty schools were indirectly associated with ACS when compared to high- and low-poverty schools in all models (p < 0.05). Connectivity and vehicle ownership were also directly associated with ACS (p < 0.05). Low- and medium-poverty schools were indirectly associated with all types of reported crime when compared to high-poverty schools (p < 0.05). Although reported crime was not associated with school-level ACS, differences in ACS and reported crime do exist across school poverty levels, suggesting a need to develop and promote safe and equitable ACS interventions.

Neighborhood Food Environment and Physical Activity Among U.S. Adolescents.

INTRODUCTION: Few U.S. adolescents meet physical activity guidelines. Although several neighborhood characteristics influence physical activity, the role of food-related features as potential drivers of adolescent physical activity remains understudied. Using representative U.S. data, authors examined the effect of the neighborhood food environment on adolescents' out-of-school physical activity. METHODS: The Family Life, Activity, Sun, Health, and Eating (FLASHE) study was conducted in 2014. Secondary data analysis occurred in 2018. Multinomial logistic regression models examined associations between neighborhood availability of (1) convenience store; (2) supermarket; (3) farmer's market; (4) fast food; (5) non-fast food restaurant and adolescent out-of-school physical activity (tertile-based, low as referent). An additional association between a total aggregate neighborhood food environment score was assessed. RESULTS: Final analytic sample was 1,384 adolescents (mean age=14.5 years, SD=1.6). Controlling for free/reduced-price lunch, age, sex, race/ethnicity, and neighborhood physical activity and social environments, the aggregate food environment score was significantly associated with high physical activity (versus low tertile; OR=1.2, 95% CI=1.1, 1.3). Most individual categories of food retail outlets were significantly and directly associated with out-of-school moderate- to vigorous-intensity physical activity in the single food environment variable models. However, when fully adjusting for all food retail outlet categories plus confounders, they were no longer significant. CONCLUSIONS: The availability of a diverse combination of retail food destinations within walking distance from home may provide opportunities for adolescents to achieve more physical activity, likely because of transport-based physical activity. Pending future research, these findings suggest that the role of the food environment on health extends beyond its influence on dietary behaviors to other health behaviors like physical activity.

Association of School Physical Activity Policies With Student Physical Activity Behavior.

Background: Few studies have examined school physical activity policies to assess dose-response on student outcomes. The purpose of this study was to evaluate the association between health-promoting physical activity policies in elementary schools and physical activity behavior. Methods: In this cross-sectional study, physical activity was assessed using self-report measures in fourth-grade students in Texas (N = 1958, x = 9.66 y) from the School Physical Activity and Nutrition (SPAN) survey. School policies were assessed using the number of health-promoting policies in place taken from the SPAN School Health Survey with principals and their proxies. Multiple linear regressions adjusted for student- and school-level confounders and school clustering were performed. Results: School physical activity policies were significantly associated with student-level physical activity behavior (P < .05), even after controlling for the student- and school-level confounding variables. The interactions between physical activity policy-by-economic disadvantage (P < .01) and between physical activity policy-by-geographic strata (P < .01) were both significant, with stronger direct effects of policies on student physical activity for economically disadvantaged schools and major urban schools. Conclusion: Results from this study provide evidence for the importance of school-based health policies and practices in potentially reducing health disparities, especially in low-income and urban schools.