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.

Tai Chi versus health education as a frailty intervention for community-dwelling older adults with hypertension.

BACKGROUND: Frailty is associated with poor outcomes among older adults with hypertension and complicates its pharmacological management. Here, we assessed whether 12-weeks of instructor-guided, group Tai Chi (TC) practice improved frailty relative to Healthy Aging Practice-centered Education (HAP-E) classes in older adults with hypertension. METHODS: Secondary analysis of a randomized controlled trial in San Diego County, USA, of 167 community-dwelling individuals aged ≥ 60 yrs (70% female; 72.1 ± 7.5 yrs), defined as non-frail (66%) or frail (34%) based on 53-item deficit accumulation frailty index (FI). Linear mixed-effects models were used to assess pre-to-post intervention differences in FI and logistic regression to explore differential odds of clinically meaningful FI change. RESULTS: One hundred thirty-one participants completed post-intervention assessments. Frailty decreased pre-to-post intervention in the TC (ΔFI = - 0.016, d = - 0.39, - 0.75 to - 0.03), but not the HAP-E arm (ΔFI = - 0.009, d = - 0.13, - 0.52-0.27), despite no significant group differences between the TC and HAP-E arms (d = - 0.11, - 0.46-0.23). Furthermore, greater odds of improved FI were observed for frail participants in the TC (OR = 3.84, 1.14-14.9), but not the HAP-E (OR = 1.34, 0.39-4.56) arm. Subgroup analysis indicated treatment effects in TC were attributed to frail participants (frail: ΔFI = - 0.035, d = - 0.68, -1.26 to - 0.08; non-frail: ΔFI = - 0.005, d = - 0.19, - 0.59-0.22), which was not the case in the HAP-E arm (frail: ΔFI = - 0.017, d = - 0.23, - 0.81-0.35; non-frail: ΔFI = - 0.003, d = - 0.07, - 0.47-0.33). Frail participants were no more likely to drop-out of the study than non-frail (71% vs. 69% retained). CONCLUSIONS: Twelve weeks of twice-weekly guided TC practice was well-tolerated, associated with decreases in frailty, and increased odds of clinically meaningful FI improvement at post-intervention.

Accounting for space, time, and behavior using GPS derived dynamic measures of environmental exposure.

Time-weighted spatial averaging approaches (TWSA) are an increasingly utilized method for calculating exposure using global positioning system (GPS) mobility data for health-related research. They can provide a time-weighted measure of exposure, or dose, to various environments or health hazards. However, little work has been done to compare existing methodologies, nor to assess how sensitive these methods are to mobility data inputs (e.g., walking vs driving), the type of environmental data being assessed as the exposure (e.g., continuous surfaces vs points of interest), and underlying point-pattern clustering of participants (e.g., if a person is highly mobile vs predominantly stationary). Here we contrast three TWSA approaches that have been previously used or recently introduced in the literature: Kernel Density Estimation (KDE), Density Ranking (DR), and Point Overlay (PO). We feed GPS and accelerometer data from 602 participants through each method to derive time-weighted activity spaces, comparing four mobility behaviors: all movement, stationary time, walking time, and in-vehicle time. We then calculate exposure values derived from the various TWSA activity spaces with four environmental layer data types (point, line, area, surface). Similarities and differences across TWSA derived exposures for the sample and between individuals are explored, and we discuss interpretation of TWSA outputs providing recommendations for researchers seeking to apply these methods to health-related studies.

Air pollution and metabolic disorders: Dynamic versus static measures of exposure among Hispanics/Latinos and non-Hispanics.

INTRODUCTION: Exposure to air pollution disproportionately affects racial/ethnic minorities that could contribute to health inequalities including metabolic disorders. However, most existing studies used a static assessment of air pollution exposure (mostly using the residential address) and do not account for activity space when modelling exposure to air pollution. The aim of this study is to understand how exposure to air pollution impacts metabolic disorders biomarkers, how this effect differs according to ethnicity, and for the first time compare these findings with two methods of exposure assessment: dynamic and static measures. METHODS: Among the Community of Mine study, a cross-sectional study conducted in San Diego County, insulin resistance, diabetes, hypertension, obesity, dyslipidemia, and metabolic syndrome (MetS) were assessed. Exposure to air pollution (PM2.5, NO2, traffic) was calculated using static measures around the home, and dynamic measures of mobility derived from Global Positioning Systems (GPS) traces using kernel density estimators to account for exposure variability across space and time. Associations of air pollution with metabolic disorders were quantified using generalized estimating equation models to account for the clustered nature of the data. RESULTS: Among 552 participants (mean age 58.7 years, 42% Hispanic/Latino), Hispanics/Latinos had a higher exposure to PM2.5 compared to non-Hispanics using static measures. In contrast, Hispanics/Latinos had less exposure to PM2.5 using dynamic measures. For all participants, higher dynamic exposure to PM2.5 and NO2 was associated with increased insulin resistance and cholesterol levels, and increased risk of obesity, dyslipidemia and MetS (RR 1.17, 95% CI: 1.07-1.28; RR 1.21, 95% CI: 1.12-1.30, respectively). The association between dynamic PM2.5 exposure and MetS differed by Hispanic/Latino ethnicity. CONCLUSION: These results highlight the importance of considering people's daily mobility in assessing the impact of air pollution on health.

Engaging older adults as advocates for age-friendly, walkable communities: The Senior Change Makers Pilot Study.

As the U.S. population ages, communities must adapt to help older adults thrive. Built environment features, like safe sidewalks and crosswalks, provide the foundation for age- and physical activity-friendly communities. Controlled studies are needed to evaluate advocacy training programs that instruct and support seniors to advocate for more walkable neighborhoods. The Senior Change Makers Pilot Study evaluated an advocacy program that taught seniors to evaluate pedestrian environments using the validated MAPS-Mini audit tool, identify barriers, and advocate for improvements. Participants (n = 50) were recruited from four low-income senior housing sites in San Diego, CA, which were randomly assigned to an 8-week advocacy program or physical activity (PA) comparison intervention. Evaluation included surveys, accelerometers to assess PA, and direct observation. Primary outcomes were seniors' advocacy confidence and skills. Main analyses used repeated measures ANOVAs. Seniors in the advocacy condition (n = 17) increased their advocacy outcome efficacy (p = .03) and knowledge of resources (p = .04) more than seniors in the PA condition (n = 33). Most seniors in the advocacy condition completed a street audit (84%), submitted an advocacy request (79%), or made an advocacy presentation to city staff (58%). Environmental changes included repairs to sidewalks and crosswalks. City staff approved requests for lighting, curb cuts, and crosswalk markings. Seniors' accelerometer-measured PA did not significantly increase, but self-reported transportation activity increased in the PA condition (p = .04). This study showed the potential of advocacy training to empower seniors to make communities more age- and activity-friendly.

Physical activity and sedentary time in a rural adult population in Malawi compared with an age-matched US urban population.

OBJECTIVES: This study was designed to assess patterns of objectively measured physical activity (PA) and sedentary behaviour in a sample of adults in a rural setting from a low-income Sub-Saharan African country (Malawi). The patterns of PA and sedentary behaviour in Malawi were compared with US data collected and analysed using the same methodology. METHODS: The Malawi PA data were collected as part of a survey experiment on the measurement of agricultural labor conducted under the World Bank Living Standards Measurement Study program. ActiGraph accelerometers (model GT3X) were worn on the right hip in a household-based sample of 414 working-age adults (15-85 years). RESULTS: Mean total and 95% CIs for PA by category in min/day for Malawi adults were: sedentary 387.6 (377.4-397.8), low-light 222.1 (214.7-229.5), high-light 136.3 (132.7-139.9), moderate 71.6 (68.8-74.5), vigorous 1.1 (0.5-1.8) and moderate-to-vigorous physical activity (MVPA) 72.8 (69.7-75.9). Mean of PA and sedentary behavior (min/day) summed across age and sex groups are compared between Malawi and US samples: sedentary behaviour, 387.6 vs 525.8 (p<0.001); low-light, 222.1 vs 217.0 (p=ns); high-light, 136.3 vs 45.6 (p<0.001); moderate, 71.6 vs 28.0 (p<0.001); vigorous, 1.1 vs 2.5 (p<0.001); MVPA, 72.8 vs 30.5 (p<0.001). Compared with the USA, Malawi participants averaged consistently less sedentary time/day and more minutes/day in all intensity levels of PA, except for low-light and vigorous PA. CONCLUSION: Overall, levels of MVPA and high-light activity in adults in Malawi were substantially higher and sedentary time was substantially lower than those observed in US samples using near identical data collection, scoring and analysis.

Electronic Devices as Correlates of Sedentary Behavior and Screen Time Among Diverse Low-Income Adolescents During the School Year and Summer Time.

Excessive screen time among adolescents increases risk for overweight and obesity. Having electronic devices in the adolescent's bedroom is associated with more screen time. The present study expanded on previous studies by also examining portable personal electronic devices and social media membership as correlates of screen time use and total sedentary time in the school year and summer among diverse low-income adolescents. Adolescents aged 10-17 years were recruited from lower-income areas; n=150 (34 African Americans, 23 American Indians, 16 Asian/Pacific Islanders, 39 Latinos, and 38 White/non-Hispanics) completed surveys and wore accelerometers in both the school year and summer. Total sedentary time was computed from accelerometers. Recreational screen time was assessed with a 3-item validated scale. Adolescents reported the presence of 6 electronic devices in their bedrooms, ownership of 4 portable devices, and social media membership. General linear modeling was conducted for both time periods, with demographic covariates and interactions with sex and race/ethnicity. More electronic devices in bedrooms were related to more screen time during the school year and summer, and to more total sedentary time in summer. Personal electronics were related only to more screen time in the school year. Social media membership was related to more total sedentary time in summer, but only among African Americans, American Indians, and non-Hispanic Whites. Electronic devices in bedrooms was confirmed as a risk factor for sedentary behavior among low-income adolescents of color. Social media membership and use should be further studied with diverse adolescents.

Self-reported sleep disturbances are associated with poorer cognitive performance in older adults with hypertension: a multi-parameter risk factor investigation.

OBJECTIVES: Given the evidence of multi-parameter risk factors in shaping cognitive outcomes in aging, including sleep, inflammation, cardiometabolism, and mood disorders, multidimensional investigations of their impact on cognition are warranted. We sought to determine the extent to which self-reported sleep disturbances, metabolic syndrome (MetS) factors, cellular inflammation, depressive symptomatology, and diminished physical mobility were associated with cognitive impairment and poorer cognitive performance. DESIGN: This is a cross-sectional study. SETTING: Participants with elevated, well-controlled blood pressure were recruited from the local community for a Tai Chi and healthy-aging intervention study. PARTICIPANTS: One hundred forty-five older adults (72.7 ± 7.9 years old; 66% female), 54 (37%) with evidence of cognitive impairment (CI) based on Montreal Cognitive Assessment (MoCA) score ≤24, underwent medical, psychological, and mood assessments. MEASUREMENTS: CI and cognitive domain performance were assessed using the MoCA. Univariate correlations were computed to determine relationships between risk factors and cognitive outcomes. Bootstrapped logistic regression was used to determine significant predictors of CI risk and linear regression to explore cognitive domains affected by risk factors. RESULTS: The CI group were slower on the mobility task, satisfied more MetS criteria, and reported poorer sleep than normocognitive individuals (all p < 0.05). Multivariate logistic regression indicated that sleep disturbances, but no other risk factors, predicted increased risk of evidence of CI (OR = 2.00, 95% CI: 1.26-4.87, 99% CI: 1.08-7.48). Further examination of MoCA cognitive subdomains revealed that sleep disturbances predicted poorer executive function (ß = -0.26, 95% CI: -0.51 to -0.06, 99% CI: -0.61 to -0.02), with lesser effects on visuospatial performance (ß = -0.20, 95% CI: -0.35 to -0.02, 99% CI: -0.39 to 0.03), and memory (ß = -0.29, 95% CI: -0.66 to -0.01, 99% CI: -0.76 to 0.08). CONCLUSIONS: Our results indicate that the deleterious impact of self-reported sleep disturbances on cognitive performance was prominent over other risk factors and illustrate the importance of clinician evaluation of sleep in patients with or at risk of diminished cognitive performance. Future, longitudinal studies implementing a comprehensive neuropsychological battery and objective sleep measurement are warranted to further explore these associations.

Race/ethnic variations in school-year versus summer differences in adolescent physical activity.

Children and adolescents gain more weight in the summer than the school year, and there are race/ethnic differences in this pattern. Youth physical activity is lower in the summer, and the main aim of the present study was to examine race/ethnic and sex differences in adolescent physical activity, sedentary behavior, and related variables, comparing the school-year and summer. Adolescents aged 11-17 years were recruited from lower-income areas of five states in 2017-2018, and n = 207 completed surveys in both the school-year and summer: 56 African Americans, 30 American Indians, 21 Asian/Pacific Islanders, 49 Latinos, and 51 White, non-Hispanics. Of these, n = 150 also had accelerometer data. Objectively-measured physical activity was lower in the summer, especially among American Indian, Asian/Pacific Islander, and Latino subgroups. Reported screen time was substantially higher in the summer (p < .04), with the biggest increase among African Americans. Reported enjoyment of physical activity was generally lower in the summer (p < .02), which could help explain reduced physical activity. Which race/ethnic groups were at higher risk in the summer varied for physical activity and screen time, so interventions should be tailored for each group. Improved strategies to increase physical activity in the summer, especially among higher-risk groups, could contribute to youth obesity control.

Sampling Methodology and Reliability of a Representative Walkability Audit.

Background: Physical inactivity is a public health concern in the US Virgin Islands (USVI). A contributing factor may be a lack of pedestrian infrastructure and other environmental supports for walking. In this manuscript, we describe the methods used to conduct a walkability audit of environmental features related to physical activity in the USVI. Methods: In 2016, volunteer auditors conducted the audit using a modified version of the Microscale Audit of Pedestrian Streetscapes tool. A two-stage sampling method was developed using publicly available census data to select a sample of estates (n=46) and street segments (n=1,550; 99.2 km) across the USVI. A subset of segments was audited by two independent auditors, and inter-rater reliability was assessed using Cohen's kappa and percent agreement. Results: Audits were completed on 1,114 segments (94.6 km), and estimates were weighted to represent accessible public street length in the study area (1,155.9 km). Most items on the audit tool (62.7%) demonstrated good to excellent reliability. We found that it was feasible to conduct a reliable audit of environmental features related to physical activity across a large sample of streets in the USVI. Conclusions: These methods can be replicated in other settings to collect comprehensive data that can be used to guide strategies to improve the walkability of communities.

Policy and Practice-Relevant Youth Physical Activity Research Center Agenda.

BACKGROUND: The Physical Activity Research Center developed a research agenda that addresses youth physical activity (PA) and healthy weight, and aligns with the Robert Wood Johnson Foundation's Culture of Health. This paper summarizes prioritized research studies with a focus on youth at higher risk for inactive lifestyles and childhood obesity in urban and rural communities. METHODS: Systematic literature reviews, a survey, and discussions with practitioners and researchers provided guidance on research questions to build evidence and inform effective strategies to promote healthy weight and PA in youth across race, cultural, and economic groups. RESULTS: The research team developed a matrix of potential research questions, identified priority questions, and designed targeted studies to address some of the priority questions and inform advocacy efforts. The studies selected examine strategies advocating for activity-friendly communities, Play Streets, park use, and PA of youth in the summer. A broader set of research priorities for youth PA is proposed. CONCLUSION: Establishing the Physical Activity Research Center research agenda identified important initial and future research studies to promote and ensure healthy weight and healthy levels of PA for at-risk youth. Results will be disseminated with the goal of promoting equitable access to PA for youth.

Co-benefits of designing communities for active living: an exploration of literature.

To reverse the global epidemic of physical inactivity that is responsible for more than 5 million deaths per year, many groups recommend creating "activity-friendly environments." Such environments may have other benefits, beyond facilitating physical activity, but these potential co-benefits have not been well described. The purpose of the present paper is to explore a wide range of literature and conduct an initial summary of evidence on co-benefits of activity-friendly environments. An extensive but non-systematic review of scientific and "gray" literature was conducted. Five physical activity settings were defined: parks/open space/trails, urban design, transportation, schools, and workplaces/buildings. Several evidence-based activity-friendly features were identified for each setting. Six potential outcomes/co-benefits were searched: physical health, mental health, social benefits, safety/injury prevention, environmental sustainability, and economics. A total of 418 higher-quality findings were summarized. The overall summary indicated 22 of 30 setting by outcome combinations showed "strong" evidence of co-benefits. Each setting had strong evidence of at least three co-benefits, with only one occurrence of a net negative effect. All settings showed the potential to contribute to environmental sustainability and economic benefits. Specific environmental features with the strongest evidence of multiple co-benefits were park proximity, mixed land use, trees/greenery, accessibility and street connectivity, building design, and workplace physical activity policies/programs. The exploration revealed substantial evidence that designing community environments that make physical activity attractive and convenient is likely to produce additional important benefits. The extent of the evidence justifies systematic reviews and additional research to fill gaps.

Active living research: creating and using evidence to support childhood obesity prevention.

The second phase of Active Living Research (ALR-2, 2007-2012) focused on advancing the Robert Wood Johnson Foundation (RWJF)'s goal of reversing the childhood obesity epidemic. The mission was to stimulate and support research to identify environmental factors and policies that influence physical activity for children and families to inform effective childhood obesity prevention strategies, with an emphasis on the lower-income and racial/ethnic communities with highest childhood obesity prevalence. The present report describes ALR activities undertaken to accomplish three goals. The first goal-to build an evidence base-was furthered by funding 230 competitive grants to identify and evaluate promising environment and policy changes. More than 300 publications have been produced so far. The second goal-to build an interdisciplinary and diverse field of investigators-was supported through annual conferences and linked journal supplements, academic outreach to multiple disciplines, and grants targeting young investigators and those representing groups historically disadvantaged or underrepresented in RWJF-funded research. The third goal-to use research to inform policy and practice-was advanced through research briefs; webinars; research-translation grants supporting ALR grantees to design communications tailored to decision-maker audiences; active engagement of policymakers and other stakeholders in ALR program meetings and annual conferences; ALR presentations at policy-related meetings; and broad outreach through a widely used website, e-mailed newsletters, and social media. ALR-2 findings and products have contributed to a rapid increase in the evidence base and field of active living research, as documented by an independent program evaluation.

The Active Living Research program: six years of grantmaking.

Changes in policies and built environments are advocated as part of efforts to increase physical activity, but in 2001 the knowledge base to inform these changes was limited. The Robert Wood Johnson Foundation addressed this deficit by initiating Active Living Research (ALR). The mission of ALR was to stimulate and support research that could guide the improvement of environments, policies, and practices to promote active living. The program's goals were to (1) build the evidence base about environmental and policy factors related to physical activity, (2) build the capacity of researchers in multiple fields to collaborate, and (3) inform and facilitate policy change. To build the evidence base, 121 grants were supported with $12.5 million. Efforts were made to support new investigators, fund investigators from numerous disciplines, and increase the demographic diversity of researchers. Activities to build capacity to conduct collaborative research included annual conferences, journal supplements, seminars for multiple disciplines, and the posting of environmental measures. Coordination with Active Living Leadership was a primary means of communicating research to policymakers. Other activities to facilitate the application of research included research summaries written for nonresearchers, collaborations with Active Living by Design, several components of the website (www.activelivingresearch.org), and using policy relevance as a funding criterion. Two independent evaluations were accomplished, and they concluded that ALR made progress on all three goals. ALR has been renewed through 2012. The new mission is to use a $15.4 million research budget to contribute to reversing the childhood obesity epidemic, especially among youth in the highest-risk groups.