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This study estimated associations between neighborhood socioeconomic status (NSES), walkability, green space, and incident falls among postmenopausal women and evaluated modifiers of these associations, including study arm, race and ethnicity, baseline household income, baseline walking, age at enrollment, baseline low physical functioning, baseline fall history, climate region, and urban–rural residence. The Women's Health Initiative recruited a national sample of postmenopausal women (50–79 years) across 40 U.S. clinical centers and conducted yearly assessments from 1993 to 2005 (n = 161,808). Women reporting a history of hip fracture or walking limitations were excluded, yielding a final sample of 157,583 participants. Falling was reported annually. NSES (income/wealth, education, occupation), walkability (population density, diversity of land cover, nearby high-traffic roadways), and green space (exposure to vegetation) were calculated annually and categorized into tertiles (low, intermediate, high). Generalized estimating equations assessed longitudinal relationships. NSES was associated with falling before adjustment (high vs. low, odds ratio, 1.01; 95% confidence interval, 1.00–1.01). Walkability was significantly associated with falls after adjustment (high vs. low, odds ratio, 0.99; 95% confidence interval, 0.98–0.99). Green space was not associated with falling before or after adjustment. Study arm, race and ethnicity, household income, age, low physical functioning, fall history, and climate region modified the relationship between NSES and falling. Race and ethnicity, age, fall history, and climate region modified relationships between walkability and green space and falling. Our results did not show strong associations of NSES, walkability, or green space with falling. Future research should incorporate granular environmental measures that may directly relate to physical activity and outdoor engagement. [ABSTRACT FROM AUTHOR]

This study examined relationships between three measures of park availability and self-reported physical activity (PA), television viewing (TV) time, and overweight/obesity among women from Australia and the United States. Having more parks near home was the only measure of park availability associated with an outcome. Australian women (n=1848) with more parks near home had higher odds of meeting PA recommendations and lower odds of being overweight/obese. In the US sample (n=489), women with more parks near home had lower odds of watching >4h TV per day. A greater number of parks near home was associated with lower BMI among both Australian and US women. Evidence across diverse contexts provides support to improve park availability to promote PA and other health behaviors. [ABSTRACT FROM AUTHOR]

Background: Few studies have examined the impact of ecological health promotion interventions on organizational practices over time, especially in faith-based settings. This statewide dissemination and implementation study examined change in organizational practices and their predictors across a 24-month period, as well as maintenance of change. Methods: Using a pre-post quasi-experimental design, church coordinators from 92 United Methodist Churches in South Carolina (42% predominantly African American congregations) completed surveys at baseline, and immediate, 12-, and 24-months post-training regarding physical activity (PA) and healthy eating (HE) organizational practices consistent with the Faith, Activity, and Nutrition (FAN) program (opportunities, policies, pastor support, messages) and possible predictors. The study was guided by the RE-AIM framework and the Consolidated Framework for Implementation Research (CFIR). Mixed model repeated measures analyses examined change in organizational practices over time. Regression models examined CFIR predictors of 24-month PA and HE organizational practices, controlling for baseline practices. Churches were also classified as maintainers (implemented at 12 and 24 months), non-sustained implementers (implemented at 12 but not 24 months), delayed implementers (implemented at 24 but not 12 months), and low implementers (implemented at neither 12 nor 24 months) for each FAN component. Results: PA and HE organizational practices increased over time (p <.0001). CFIR domains (and constructs within) of intervention characteristics (adaptability, relative advantage, cost/time), inner setting (relative priority, organizational rewards, readiness, congregant needs), characteristics of the implementer (self-efficacy, perceived benefits), and implementation process (engaging opinion leaders, engaging champions) were important predictors of 24-month PA and HE organizational practices. Over half of churches implementing PA policies, PA messages, HE policies, and HE opportunities at 12 months were maintainers at 24 months, and one-third were maintainers for PA opportunities, HE messages, and PA and HE pastor support. Furthermore, 16% of 12-month non-implementers were delayed implementers at 24 months for PA policies and 31% were delayed implementers for HE policies. Conclusions: This study makes important contributions to the faith-based health promotion literature by including a large sample of churches, testing an ecological intervention approach, and assessing organizational practices over a 24-month period. Study findings can guide technical assistance and program adaptations over time. Trial registration: This study was registered in clinicaltrials.gov NCT02868866 on August 16, 2016. [ABSTRACT FROM AUTHOR]

Local-level childhood overweight and obesity data are often used to implement and evaluate community programs, as well as allocate resources to combat overweight and obesity. The most current substate estimates of US childhood obesity use data collected in 2007. Using a spatial multilevel model and the 2016 National Survey of Children's Health, we estimated childhood overweight and obesity prevalence rates at the Census regional division, state, and county levels using small-area estimation with poststratification. A sample of 24,162 children aged 10–17 years was used to estimate a national overweight and obesity rate of 30.7% (95% confidence interval: 27.0%, 34.9%). There was substantial county-to-county variability (range, 7.0% to 80.9%), with 31 out of 3,143 counties having an overweight and obesity rate significantly different from the national rate. Estimates from counties located in the Pacific region had higher uncertainty than other regions, driven by a higher proportion of underrepresented sociodemographic groups. Child-level overweight and obesity was related to race/ethnicity, sex, parental highest education (P  < 0.01 for all), county-level walkability (P  = 0.03), and urban/rural designation (P  = 0.02). Overweight and obesity remains a vital issue for US youth, with substantial area-level variability. The additional uncertainty for underrepresented groups shows surveys need to better target diverse samples. [ABSTRACT FROM AUTHOR]

Poor mental health may hinder diet quality in pregnancy. This study 1) examined whether stress and depressive symptoms are associated with diet quality (via Healthy Eating Index [HEI] 2015 total scores and dietary intake of food groups/nutrients that align with HEI-2015 components) and 2) tested race as a moderator in the relationship between mental health and diet quality. This was a cross-sectional analysis of baseline data from a randomized controlled trial collected January 2015 through January 2019 in Columbia, South Carolina. Trained staff administered demographic and psychosocial questionnaires and conducted anthropometric measures. Participants completed two 24-hour dietary recalls, which were self-administered (one on-site, one at home). The Health in Pregnancy and Postpartum study was a randomized controlled trial targeting excessive gestational weight gain among pregnant women with overweight/obesity (N = 228). The HEI-2015 total scores and food groups/nutrients that align with HEI-2015 were calculated. Multiple linear regression models were used to estimate the relationship between mental health and HEI-2015 total scores and dietary intake of food groups or nutrients that align with HEI-2015 components. Multiplicative interaction terms of stress or depressive symptoms with race were used to determine moderation. Participants' diet quality was suboptimal (M = 52.0 ± 11.7; range, 27–85). Stress was negatively associated with HEI-2015 total scores (crude but not adjusted model). Stress scores were positively associated with consumption of dairy, refined grains, and added sugars and negatively associated with total protein foods. Depressive symptoms were positively associated with consumption of dairy, refined grains, and saturated fats. Race was not a moderator. Diet quality was poor overall, but stress and depressive symptoms were not associated with HEI-2015 total scores in adjusted models. Excluding dairy, stress and depressive symptoms were associated with the consumption of food groups or nutrients related to worse diet quality. These relationships should be examined longitudinally to help establish causality and inform future interventions. [ABSTRACT FROM AUTHOR]

Objective To examine disparities in park availability, features, and characteristics by income and the percentage of foreign-born population within a predominately-Hispanic border community. Methods This study occurred in 2010-2011 in El Paso, Texas. All census tracts (n = 112) were categorized as low, medium, or high income and percent foreign-born. The number of parks intersecting each tract was determined using ArcGIS and park features (facilities, amenities) and characteristics (aesthetic features, park and neighborhood quality/safety concerns) were assessed via park audits (n = 144). Analysis of variance and Kruskal-Wallis tests examined differences across income and percent foreign-born tertiles for all park measures. Results The medium income tertile had more parks than the high tertile, and more park facilities than the low or high tertiles, but no differences in park amenities were observed across income groups. As well, none of park availability, facilities, or amenities differed across percent foreign-born tertiles. Finally, parks in the high income tertile had significant fewer park and neighborhood quality/safety concerns and parks in the high percent foreign-born tertile had significantly greater park and neighborhood quality/safety concerns. Conclusion Identifying disparities in park availability, features, and characteristics can aid policymakers and citizens in improving the contribution of parks to community health for all. [ABSTRACT FROM AUTHOR]

Objective: Examine the association and moderating effect of residential location (urban/rural) on the relationship between neighborhood healthy food density and diet quality. Design: Cross-sectional analysis of baseline data from the Health in Pregnancy and Postpartum study, a randomized trial designed to prevent excessive gestational weight gain. Participants: Pregnant women in South Carolina with prepregnancy overweight/obesity (n = 228). Main Outcome Measures: Healthy Eating Index−2015 (HEI) was used to measure diet quality from 2 24-hour dietary recalls. The HEI total scores and 11 binary HEI components (those that met the standard for maximum component score vs those that did not) were calculated as dependent variables. Analysis: Multiple linear and logistic regression models were used to examine the association between healthy food density and HEI total scores and meeting the standards for maximum component scores. Healthy food density × residential location tested for moderation. P < 0.05 indicated significance. Results: Participants’ diet quality was suboptimal (mean, 52.0; SD, 11.7; range, 27−85). Healthy food density was not significantly related to HEI total scores or components, and residential location was not a moderator. Conclusions and Implications: Diet quality was suboptimal, and there was no relationship between healthy food density and diet quality among Health in Pregnancy and Postpartum study participants. These data support examining behavioral factors that could influence diet quality. [ABSTRACT FROM AUTHOR]

Context: Faith-based health interventions may improve obesity-related health behaviors, including healthy eating and physical activity. However, the generalizability of results and comprehensiveness of reporting for critical design elements sufficient for large-scale implementation and broad public health impact are unclear. This review assesses the degree to which faith-based healthy eating and physical activity programs report intervention elements using the reach, effectiveness/efficacy, adoption, implementation, maintenance framework.Evidence Acquisition: A systematic literature search was initiated in June 2017, and updated searches concluded in December 2019. Articles were included if they (1) were published in an English language peer-reviewed journal, (2) were conducted in the U.S., (3) were interventions, (4) included individual-level healthy eating or physical activity behavioral outcomes, (5) were conducted within an organizational setting, and (6) were faith-based. Intervention elements were extracted, and comprehensiveness of reporting for intervention elements was assessed according to reach, effectiveness/efficacy, adoption, implementation, maintenance domains.Evidence Synthesis: A total of 38 interventions (46 articles) met the inclusion criteria. Most were conducted at the individual/interpersonal level (66%); few included additional elements of policy or environmental change (34%). Most interventions showed favorable changes in at least 1 health behavior outcome. No intervention addressed all reach, effectiveness/efficacy, adoption, implementation, maintenance indicators. The mean level of reporting was low for all reach, effectiveness/efficacy, adoption, implementation, maintenance dimensions (reach: 2.3 of 5 [SD=1.0] indicators, efficacy/effectiveness: 2.3 of 4 [SD=0.8] indicators, adoption: 3.7 of 6 [SD=1.4] indicators, implementation: 1.3 of 3 [SD=0.6] indicators, maintenance: 0.3 of 3 [SD=0.5] indicators).Conclusions: Studies reporting outcomes of faith-based interventions to improve healthy eating/physical activity behaviors lack the information necessary to understand the potential for broad dissemination and implementation in community settings. Future studies should report on the considerations for the translation and dissemination of evidence-based programs to expand public health impact. [ABSTRACT FROM AUTHOR]

BACKGROUND: In Spartanburg County, SC, nearly 33.7% of children are overweight or obese. The purpose of this study was to investigate differences in eating behavior of youth by race/ethnicity and socioeconomic status. METHODS: Students (N = 997) in 4th to 5th grades completed the School Nutrition and Physical Activity Survey. School databases categorized students as either White or racial/ethnic minority and free/reduced or full paid lunch status. Dietary behaviors included 13 composite measures: unhealthy proteins, healthy proteins, dairy, refined grains, whole grains, vegetables, fruit, fried snacks, sugar‐sweetened beverages, sweets, and consumption of a breakfast, evening, and/or restaurant meal. Logistic regression, controlling for sex, was used to analyze differences in consumption for each nutrition variable. RESULTS: Minority youth were less likely to consume healthy proteins (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.55‐0.92) and more likely to eat at a restaurant (OR = 1.32, 95% CI = 1.02‐1.70) compared to white youth. Lower socioeconomic status youth were less likely to eat an evening meal compared to higher socioeconomic status youth (OR = 0.59, 95% CI = 0.39‐0.89). CONCLUSIONS: Differences in dietary behaviors may result from food accessibility and insecurity in minority and/or low‐income neighborhoods. Future research should explore policy strategies that can help ensure all youth maintain healthy eating habits and weight status. [ABSTRACT FROM AUTHOR]

To examine church leaders' views on the role of faith-based organizations in promoting healthy eating and physical activity in children. Qualitative research using semi-structured in-depth interviews. South Carolina. Leaders (n = 26) from United Methodist churches (n = 20). Perceptions of health promotion efforts for children in faith-based settings, including primary health concerns, perceived opportunities, partnerships, and the relationship of these efforts to the overall church mission. Interviews were transcribed verbatim and coded using a constant comparative method. Five themes emerged related to (1) multiple concerns about health issues facing children; (2) existing church structures influencing health behaviors; (3) potential partnerships to address children's health; (4) importance of role models; and (5) the need for a tailored approach. Church leaders viewed childhood health behaviors as an important area of concern for the church and identified links between physical and spiritual health. They identified multiple existing and potential organizational and community structures as important in improving healthy eating and physical activity. Faith-based organizations can play an important role in developing and delivering health programming for children but desired assistance through partnerships with subject matter experts. [ABSTRACT FROM AUTHOR]

BACKGROUND Evidence consistently shows children in the United States gain 3 to 5 times more weight during summer vacation (∼2.5 months) compared to the 9‐month school year. The purpose of this study is to examine within‐child differences in 4 obesogenic behaviors (physical activity [PA], sedentary/screen‐time, diet, and sleep) during school versus summer. METHODS: We used a repeated‐measures within‐subjects design. Children (N = 30 mean age = 8.2 years; 57% female; 37% overweight/obese; 100% African American) wore accelerometers on the nondominant wrist for 24 hr/d over 9 consecutive days during school and summer of 2016 to capture PA, sedentary time, and sleep. Parents completed a daily diary to report bed/wake times, diet, and screen‐time of their child each day. Mixed‐effect models compared summer and school behaviors. RESULTS: Children spent more time sedentary (69% vs 67% of wake wear time), less time in light PA (25% vs 23% of wake wear time), had higher screen‐time (242 vs 123 minutes/day), slept longer (428 vs 413 minutes/night), and consumed more sugar‐based foods (6 days vs 2.5 days/week) and fruit (7 days vs 4.7 days/week) during summer compared to school (p <.05). CONCLUSION: Initial evidence suggests children are displaying multiple unfavorable obesogenic behaviors during summer compared to school that may contribute to accelerated weight gain during summer. [ABSTRACT FROM AUTHOR]

Background: There is a growing interest in evaluating the physical activity (PA) and healthy eating (HE) policy and practice environment characteristics in settings frequented by youth (≤ 18 years). Objective: This review evaluates the measurement properties of audit tools designed to assess PA and HE policy and practice environment characteristics in settings that care for youth (e.g., childcare, school, afterschool, summer camp). Method: Three electronic databases, reference lists, educational department and national health organizations' web pages were searched between January 1980 and February 2014 to identify tools assessing PA and/or HE policy and practice environments in settings that care for youth (≤ 18 years). Results: Sixty-five audit tools were identified of which 53 individual tools met the inclusion criteria. Thirty-three tools assessed both the PA and HE domains, 6 assessed the PA domain and 14 assessed the HE domain solely. The majority of the tools were self-assessment tools (n = 40), and were developed to assess the PA and/or HE environment in school settings (n = 33), childcare (n = 12), and after school programs (n = 4). Four tools assessed the community at-large and had sections for assessing preschool, school and/or afterschool settings within the tool. The majority of audit tools lacked validity and/or reliability data (n = 42). Inter-rater reliability and construct validity were the most frequently reported reliability (n = 7) and validity types (n = 5). Conclusions: Limited attention has been given to establishing the reliability and validity of audit tools for settings that care for youth. Future efforts should be directed towards establishing a strong measurement foundation for these important environmental audit tools. [ABSTRACT FROM AUTHOR]

Public open spaces such as parks and green spaces are key built environment elements within neighbourhoods for encouraging a variety of physical activity behaviours. Over the past decade, there has been a burgeoning number of active living research studies examining the influence of public open space on physical activity. However, the evidence shows mixed associations between different aspects of public open space (e.g., proximity, size, quality) and physical activity. These inconsistencies hinder the development of specific evidence-based guidelines for urban designers and policy-makers for (re)designing public open space to encourage physical activity. This paper aims to move this research agenda forward, by identifying key conceptual and methodological issues that may contribute to inconsistencies in research examining relations between public open space and physical activity. [ABSTRACT FROM AUTHOR]

In the context of rapid urbanization, public open spaces in dense urban areas are critical built environment elements to support active lifestyles. Several reviews have explored the associations of public open space attributes with physically active and sedentary behavior. However, few reviews have included studies from Asia, and no studies have focused on dense urban areas. This systematic review analyzed 18 observational studies investigating associations between public open space attributes with physical activity and sedentary behavior in dense urban areas of East Asian countries, including Japan, Taiwan, China, and Hong Kong. We found that closer distance to and a greater number of public open spaces and features within them were positively associated with leisure-time physical activity. Places near water features and corridors within public open spaces were associated with more sedentary behavior. These findings inform landscape and urban design guidelines for (re)designing public open spaces to support active lifestyles in high dense urban areas. [ABSTRACT FROM AUTHOR]

Local environments are increasingly the focus of health behavior research and practice to reduce gaps between fruit/vegetable intake, physical activity (PA), and related guidelines. This study examined the congruency between youth food and PA environments and differences by region, rurality, and income across the United States. Food and PA environment data were obtained for all U.S. counties (N = 3142) using publicly available, secondary sources. Relationships between the food and PA environment tertiles was represented using five categories: 1) congruent-low (county falls in both the low food and PA tertiles), 2) congruent-high (county falls in both the high food and PA tertiles), 3) incongruent-food high/PA low (county falls in high food and low PA tertiles), 4) incongruent-food low/PA high (county falls in low food and high PA tertiles), and 5) intermediate food or PA (county falls in the intermediate tertile for food and/or PA). Results showed disparities in food and PA environment congruency according to region, rurality, and income (p < .0001 for each). Nearly 25% of counties had incongruent food and PA environments, with food high/PA low counties mostly in rural and low-income areas, and food low/PA high counties mostly in metropolitan and high-income areas. Approximately 8.7% of counties were considered congruent-high and were mostly located in the Northeast, metropolitan, and high-income areas. Congruent-low counties made up 10.0% of counties and were mostly in the South, rural, and low-income areas. National and regional disparities in environmental obesity determinants were identified that can inform targeted public health interventions. [ABSTRACT FROM AUTHOR]

This study explored youths' experiences and perceptions about community engagement as a result of participating in a community-based data collection project using paper and mobile technology park environmental audit tools. In July 2014, youth (ages 11-18, n=50) were recruited to participate in nine focus groups after auditing two parks each using paper, electronic, or both versions of the Community Park Audit Tool in Greenville County, SC. The focus groups explored the youths' experiences participating in the project, changes as a result of participation, suggested uses of park audit data collected, and who should use the tools. Four themes emerged related to youths' project participation experiences: two positive (fun and new experiences) and two negative (uncomfortable/unsafe and travel issues). Changes described as a result of participating in the project fell into four themes: increased awareness, motivation for further action, physical activity benefits, and no change. Additionally, youth had numerous suggestions for utilizing the data collected that were coded into six themes: maintenance & aesthetics, feature/amenity addition, online park information, park rating/review system, fundraising, and organizing community projects. Finally, six themes emerged regarding who the youth felt could use the tools: frequent park visitors, community groups/organizations, parks and recreation professionals, adults, youth, and everyone. This study revealed a wealth of information about youth experiences conducting park audits for community health promotion. Understanding youth attitudes and preferences can help advance youth empowerment and civic engagement efforts to promote individual and community health. [ABSTRACT FROM AUTHOR]

Competing Interests: Competing interests: None declared. In particular, none of the authors has a financial interest in the Space Syntax Limited company.

Purpose: Childhood obesity is more prevalent in rural compared to urban communities and may be related to urban-rural differences in environmental factors known to affect obesity. However, understanding of how environmental factors impact childhood obesity in rural settings remains limited. This study aimed to address this gap by exploring the relationship between obesogenic environments and childhood overweight/obesity rates, including variations across the urban-rural continuum., Methods: This study analyzed data for counties in the United States (N = 3140). Linear regression models were employed to examine the relationship between the Childhood Obesogenic Environment Index, which consisted of ten variables from a variety of sources associated with physical activity and healthy eating, and childhood overweight/obesity rates estimates derived from the 2016 National Survey of Children's Health. County rurality was categorized using Rural-Urban Continuum Codes and a moderation analysis was conducted to identify potential variations by rurality., Findings: There was a significant positive association between the COEI and childhood overweight/obesity rates nationally, with notable variations across the urban-rural continuum for specific index components. Neighborhood walkability showed a significant positive association across rurality, indicating that childhood overweight/obesity rates were higher in less walkable communities. Full-service restaurants exhibited an inverse relationship with childhood overweight/obesity rates across all RUCC levels., Conclusions: These results underscore the obesogenic environmental factors associated with childhood overweight/obesity rates nationally and how they vary across the urban-rural continuum. This study highlights the importance of considering these variations when designing interventions to address childhood obesity., (© 2024 The Author(s). The Journal of Rural Health published by Wiley Periodicals LLC on behalf of National Rural Health Association.)

Background: Organizational adoption is a key but understudied step in translating evidence-based interventions into practice. The purpose of this study was to report recruitment strategies and factors associated with church enrollment and intervention adoption in a national implementation study of the Faith, Activity, and Nutrition (FAN) program., Methods: We worked with partners using multiple strategies to disseminate intervention availability. Interested churches completed an online form. To enroll, the church coordinator (FAN coordinator) and pastor completed baseline surveys and then received intervention online training access. We compared enrolled vs. non-enrolled churches on how they heard about the study and church characteristics. We compared intervention-adopting vs. non-adopting churches on Consolidated Framework for Implementation Research (CFIR) constructs using Fisher's exact tests, χ 2 , or independent sample t-tests and reported differences where p < 0.10, d≥|0.35|, or the difference in percentage points was ≥ 10., Results: We received 226 interest forms; 107 churches enrolled, and 85 churches adopted the intervention. Faith-based sources were the most, and paid media the least, effective in reaching churches, which were largely from the southeast with a Methodist or Baptist tradition (no differences by enrollment status). Enrolled churches were less likely to have 500 + worshipers and more likely to have attended a study information session than non-enrolled churches. Church (CFIR inner setting) and FAN coordinator characteristics, but not intervention characteristics, were related to intervention adoption., Conclusion: Partnerships, relationships, and "face time" are important for enrolling churches in evidence-based interventions. Church and church coordinator characteristics are related to intervention adoption. Further work on adoption conceptualization and operationalization is needed., (© 2024. The Author(s).)

Background: Research is needed to explore inequities in physical activity (PA) and access to healthy eating resources for children on a national scale. This study examined disparities in childhood obesogenic environments across all United States (US) counties by income and race/ethnicity and their interaction with county rurality. Methods: Data for four PA variables (exercise opportunities, school proximity, walkability, crime) and six nutrition variables (grocery stores, farmers markets, fast-food restaurants, full-service restaurants, convenience stores, and births at baby-friendly hospitals) were collected for all US counties ( n = 3142) to comprise the Childhood Obesogenic Environment Index (COEI). Variables were ranked and allocated a percentile for each county, and a total obesogenic environment score was created by averaging variable percentiles. Analysis of variance was used to assess differences by tertiles of county-level median household income (low/intermediate/high) and percentage of non-Hispanic (NH) White residents (low/intermediate/high). Interaction tests were used to assess effect modification by rurality, and stratified results were presented for all significant interactions. Results: There were significant differences in COEI values according to tertiles of median household income (F = 260.9, p < 0.0001). Low-income counties (M = 54.3, SD = 8.3) had worse obesogenic environments than intermediate (M = 49.9, SD = 7.9) or high (M = 45.9, SD = 8.8) income counties. There was also a significant interaction between rurality and median household income (F = 13.9, p < 0.0001). Similarly, there were significant differences in COEI values according to tertiles of race/ethnicity (F = 34.5, p < 0.0001), with low percentage NH White counties (M = 51.8, SD = 9.8) having worse obesogenic environment scores than intermediate (M = 48.7, SD = 8.4) or high (M = 49.5, SD = 8.5) NH White counties. There was also a significant interaction between rurality and race/ethnicity (F = 13.9, p < 0.0001). Conclusion: Low-income counties and those with more racial/ethnic minority residents, especially in rural areas, had less supportive PA and healthy eating environments for youth. Targeted policy and environmental approaches that aimed to address concerns specific to underserved communities are needed.

Sports science focuses on enhancing athletes' performance, requiring a multifaceted approach. It is evolving from a purely muscle-centred approach to an interdisciplinary one. This paper investigates built environment design science, a dimension less explored in relation to enhancing athlete performance in sports science. The discussion is divided into three categories: athlete-centric training built environment design, enhanced fan and community engagement, and improved integrative accessibility. The study also identifies future research directions, including evidence of the relative impact of the built environment, financial aspects, and performance evaluation methods. Collaboration between sports scientists and scholars in urban design, parks, transportation, landscape architecture and environmental psychology is necessary to advance this topic further., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.)

Parks are critical components of healthy communities. This study explored neighborhood socioeconomic and racial/ethnic inequalities in park access and quality in a large U.S. southeastern metropolitan region. A total of 241 block groups were examined, including 77 parks. For each block group, we obtained multiple sociodemographic indicators, including unemployment rate, education level, renter-occupied housing, poverty rate, and racial/ethnic minority composition. All parks were mapped using geographical information systems and audited via the Community Park Audit Tool to evaluate their features and quality. We analyzed seven diverse elements of park quality (transportation access, facility availability, facility quality, amenity availability, park aesthetics, park quality concerns, and neighborhood quality concerns), as well as an overall park quality score by calculating the mean for all parks within each block group. The mean percent of residents below 125% of the poverty level and the percentage of renter-occupied housing units were significantly higher among block groups with any parks in comparison to block groups with no parks. In addition, there were significant positive associations between park transportation access scores and both the percentage of residents with less than high school education and the percent identifying as non-Hispanic white. Moreover, there was a significant negative association between park amenity availability and the block group's unemployed population. Further, a significant negative association between park aesthetics and the population with a lower than high school education percentage was observed. Revealed differences in park availability, park acreage, and park quality dimensions emphasized the need for targeted policy, programmatic, and infrastructure interventions to improve park access and quality and address health disparities.

Park use has numerous health benefits. However, little research has investigated how the combination of park facilities, amenities, and conditions are related to park visitation. This study examined the association between a novel composite park quality metric and the use of specific parks, including variations by demographics. Data were collected in 128 census block groups across four diverse cities in the USA. Adults (n = 262) used an online, map-based survey to indicate which parks within one half-mile they had used within the past 30 days. All parks (n = 263) were audited using the Community Park Audit Tool, and a composite quality metric was calculated by standardizing and averaging six key components: access, facilities, amenities, aesthetic features, quality concerns, and neighborhood concerns. A total of 2429 participant-park pairs were analyzed. The average park quality score was 40.4/100 (s.d. = 30.2). For the full sample, a greater park quality score was significantly related to park use (OR = 1.02, 95% CI = 1.01-1.03) such that for each one unit increase in a park's quality score, there was a 2% increase in the likelihood of the park being used. There was also a significant interaction by gender, with park quality associated with park use among females (OR = 1.03, 95% CI = 1.02-1.05) but not males (OR = 1.00, 95% CI = 0.99-1.02). Enhancing overall park quality may increase the likelihood of a park being used. Future research can explore the utility of this comprehensive quality metric for predicting other health behaviors and outcomes and how interventions to enhance park quality augment park use and health over time., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Author(s).)

The implementation of evidence-based public health programs into practice is critical for improving health, but trainings for organizational change agents are often not scalable. To describe the process of converting a training that targets faith-based organizational capacity development from an in-person to an online format. We engaged in an iterative process to convert the training delivery mode from in-person to online that included assessing stakeholder support, consulting the literature on best practices, seeking a design team, consolidating content, designing engaging lessons, and building an online site. Feedback from end-users and other audiences was incorporated throughout. Pilot participants with characteristics like intended training users were then recruited via community and faith-based partner networks. They rated their agreement with statements about the effectiveness as well as design and functionality of each lesson and the overall training (1 = strongly disagree, 5 = strongly agree) and participated in a structured follow-up interview. Nine pilot participants (representing 9 churches in 7 states; 6 African American, 5 with health ministries) rated the online lessons favorably (all ratings ≥ 4.5). Most (90.4%) perceived the lesson duration to be "just right" and spent 52.5 ± 9.9 minutes/lesson. Participants evaluated the overall training positively (all ratings ≥ 4.7). Lesson content, resources, multimedia, and program ideas were most-liked aspects of lessons, while content, staff responsiveness, discussion board, and pace were most-liked aspects of the overall training in open-ended and interview responses. This paper shares a replicable process for converting training modalities from in-person to online with the goal of increased scalability., (© The Author(s) 2023. Published by Oxford University Press on behalf of the Society of Behavioral Medicine.)

Background: Research is needed that identifies environmental resource disparities and applies multiple rural definitions. Therefore, this study aims to examine urban-rural differences in food and physical activity (PA) environment resource availability by applying several commonly used rural definitions. We also examine differences in resource availability within urban-rural categories that are typically aggregated., Methods: Six food environment variables (access to grocery/superstores, farmers' markets, fast food, full-service restaurants, convenience stores, and breastfeeding-friendly facilities) and 4 PA environment variables (access to exercise opportunities and schools, walkability, and violent crimes) were included in the childhood obesogenic environment index (COEI). Total COEI, PA environment, and food environment index scores were generated by calculating the average percentile for related variables. US Department of Agriculture Urban Influence Codes, Office of Management and Budget codes, Rural-Urban Continuum Codes, Census Bureau Population Estimates for percent rural, and Rural Urban Commuting Area Codes were used. One-way ANOVA was used to detect urban-rural differences., Results: The greatest urban-rural disparities in COEI (F=310.2, P<.0001) and PA environment (F=562.5, P<.0001) were seen using RUCC codes. For food environments, the greatest urban-rural disparities were seen using Census Bureau percent rural categories (food: F=24.9, P<.0001). Comparing remote rural categories, differences were seen for food environments (F=3.1, P=.0270) and PA environments (F=10.2, P<.0001). Comparing metro-adjacent rural categories, differences were seen for PA environment (F=4.7, P=.0090)., Conclusion: Findings inform future research on urban and rural environments by outlining major differences between urban-rural classifications in identifying disparities in access to health-promoting resources., (© 2022 The Authors. The Journal of Rural Health published by Wiley Periodicals LLC on behalf of National Rural Health Association.)

Background: There is a pressing need to translate empirically supported interventions, products, and policies into practice to prevent and control prevalent chronic diseases. According to the Knowledge to Action (K2A) Framework, only those interventions deemed "ready" for translation are likely to be disseminated, adopted, implemented, and ultimately institutionalized. Yet, this pivotal step has not received adequate study. The purpose of this paper was to create a list of criteria that can be used by researchers, in collaboration with community partners, to help evaluate intervention readiness for translation into community and/or organizational settings., Methods: The identification and selection of criteria involved reviewing the K2A Framework questions from the "decision to translate" stage, conducting a systematic review to identify characteristics important for research translation in community settings, using thematic analysis to select unique research translation decision criteria, and incorporating researcher and community advisory board feedback., Results: The review identified 46 published articles that described potential criteria to decide if an intervention appears ready for translation into community settings. In total, 17 unique research translation decision criteria were identified. Of the 8 themes from the K2A Framework that were used to inform the thematic analysis, all 8 were included in the final criteria list after research supported their importance for research translation decision-making. Overall, the criteria identified through our review highlighted the importance of an intervention's public health, cultural, and community relevance. Not only are intervention characteristics (e.g., evidence base, comparative effectiveness, acceptability, adaptability, sustainability, cost) necessary to consider when contemplating introducing an intervention to the "real world," it is also important to consider characteristics of the target setting and/or population (e.g., presence of supporting structure, support or buy-in, changing sociopolitical landscape)., Conclusions: Our research translation decision criteria provide a holistic list for identifying important barriers and facilitators for research translation that should be considered before introducing an empirically supported intervention into community settings. These criteria can be used for research translation decision-making on the individual and organizational level to ensure resources are not wasted on interventions that cannot be effectively translated in community settings to yield desired outcomes., (© 2022. The Author(s).)

Purpose: The purpose of this study was to develop and evaluate the reliability and validity of self-efficacy and intentions measures for time spent in nature (TSN). TSN is related to improvement in psychological well-being and health, yet most American adults spend very little time in such settings. Theory-based interventions have been effective in increasing physical activity, a related behavior, and may be one mechanism to increase TSN. Self-efficacy and intentions have been shown to be strong predictors of health behaviors and are used across several theories. However, scales to measure these factors have not yet been developed and are needed to facilitate effective interventions., Methods: TSN self-efficacy and intentions scales were developed using a sequential nine-step procedure: identification of the domain and item generation; content validity; pre-testing of questions; sampling and survey administration; item reduction; extraction of factors; tests of dimensionality; tests of reliability; and tests of validity. The 14-member multidisciplinary, researcher and practitioner investigative team generated 50 unique items for self-efficacy and 24 unique items for intentions. After subjecting items to content validity and pre-testing, item sets were reduced to 21 assessing self-efficacy and nine assessing intentions. A nationwide sample of 2109 adult participants (49.7% female, Mean Age = 58.1; 59.8% White, 18.4% Hispanic, 13.3% Black) answered these items via an on-line survey., Results: Using split-half measures, principal components analysis indicated a one-factor solution for both scales. The factor structure was upheld in confirmatory factor analyses and had high internal consistency (α = .93 self-efficacy; .91 intentions). The scales were moderately correlated with each other (r = .56, p < .001) and were strongly related to TSN with large effect sizes (eta 2  > .20)., Conclusions: The study resulted in reliable and valid self-efficacy (14 items) and intentions (8 items) scales that can be used to develop future theory-based interventions to increase TSN and thereby improve population health., (© 2022. The Author(s).)

This study investigated relationships between youth physical activity (PA) environments and income and non-Hispanic White population across the United States, stratified by US Census region and urban-rural designation. For all counties (n = 3142), publicly accessible data were used for sociodemographic indicators (ie, median household income and percent non-Hispanic White population) and a composite PA environment index (including exercise opportunities, violent crime incidence, walkability, and access to public schools). One-way analysis of variance was used to examine differences in PA environment index values according to income and non-Hispanic White population tertiles. There were significant differences in PA environments according to tertiles of income (F = 493.5, P < .001) and non-Hispanic White population (F = 58.6, P < .001), including variations by region and urban-rural designation. Public health practice and policy initiatives, such as joint use agreements, Safe Routes to School programs, and targeted funding allocations, should be used to address more pronounced income-based disparities in Southern and metropolitan counties and race-based disparities in rural and micropolitan counties., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Context: Churches can serve as important health promotion partners, especially in rural areas. However, little is known about the built environment surrounding churches in rural areas, including how these environments may impact opportunities for physical activity (PA) and may differ by neighborhood income levels., Objective: This study described walkability around churches in a rural county and examined differences in church walkability between high-, medium-, and low-income neighborhoods., Design: As part of the Faith, Activity, and Nutrition study, trained data collectors conducted a windshield survey of adjacent street segments within a half-mile of churches., Setting: Churches (N = 54) in a rural southeastern county in the United States., Main Outcome Measure: A summary walkability score (eg, presence of sidewalks, safety features, low traffic volume) was created with a possible range from 0 to 7. Analysis of variance was used to assess differences in walkability of churches by neighborhood income levels., Results: Walkability scores ranged from 0 to 6 (M = 2.31, SD = 1.23). Few churches had sidewalks, shoulders or buffers, or amenities nearby. In contrast, most churches had low traffic volume and no environmental incivilities. While not statistically significant, churches in low-income neighborhoods scored higher for walkability than churches in medium- and high-income neighborhoods., Conclusions: This study used low-cost environmental audits to analyze walkability in a sample of churches in a rural area and examined differences by neighborhood income. While churches may improve reach of people living in underserved and rural communities, a lack of environmental supports may limit effective PA promotion activities. Partnerships focused on improving existing areas or providing alternative PA opportunities for church and community members may be needed, especially in African American communities., Competing Interests: The authors declare no conflict of interest., (Copyright © 2019 Wolters Kluwer Health, Inc. All rights reserved.)

RE-AIM (Reach, effectiveness, Adoption, Implementation, Maintenance) and CFIR (Consolidated Framework for Implementation Research) are complementary frameworks guiding research on dissemination and implementation of evidence-based interventions and factors influencing this process. Faith, Activity, and Nutrition (FAN) is an evidence-based program that increased physical activity and fruit and vegetable intake in faith-based settings. The aims of this adoption study were to quantify state-wide church level adoption rates and congregant reach of FAN in accordance with RE-AIM guidelines, and to explore the association of CFIR-derived constructs of the church inner setting and pastor characteristics with FAN adoption. Church recruitment was documented, and data were collected via telephone-administered surveys from 93 pastors in adopting churches and 60 pastors in non-adopting churches. Qualitative Comparative Analysis (QCA) identified combinations of CFIR-derived church and pastor characteristics sufficient for FAN adoption. As defined by RE-AIM, church-level FAN adoption was 11.7 % and congregant-level reach was 20.0 %. Fourteen pathways to adoption were identified; seven of these featured the presence of a culture of concern for congregant health along with openness to new ideas. Results suggest early assessment of these two CFIR-derived inner setting constructs may help identify faith-based organizations predisposed to undertake a comprehensive, environmental intervention to promote congregant health., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Background: Neighborhood parks are recognized as important spaces for facilitating physical activity (PA); however, it remains unclear how the frequency of park use is associated with PA. The purpose of this study was to examine associations between minutes of moderate to vigorous PA and multiple park use indicators: (1) use of a neighborhood park, (2) unique number of neighborhood parks used, and (3) frequency of neighborhood park use., Methods: Adults were surveyed from 4 US cities (Brooklyn, NY; Greenville County, SC; Raleigh, NC; and Seattle, WA). Using a map-based survey platform, participants indicated all neighborhood parks they used and the frequency of use in the past 30 days. Participants self-reported their weekly moderate to vigorous PA. Quantile regression was used to examine associations between PA and park use indicators., Results: Of all respondents (N = 360), 60% indicated visiting a neighborhood park in the past 30 days, with an average of about 13 total neighborhood park visits (SD = 17.5). Significant, positive associations were found between moderate to vigorous PA and both unique neighborhood park visits and total number of neighborhood parks visits., Conclusions: Frequency of park visitation is associated with PA among US adults. Ensuring equitable and safe access to neighborhood parks has the potential for population-level PA health benefits.

Composite metrics integrating park availability, features, and quality for a given address or neighborhood are lacking. The purposes of this study were to describe the validation, application, and demonstration of ParkIndex in four diverse communities. This study occurred in Fall 2018 in 128 census block groups within Seattle(WA), Brooklyn(NY), Raleigh(NC), and Greenville County(SC). All parks within a half-mile buffer were audited to calculate a composite park quality score, and select households provided data about use of proximal parks via an online, map-based survey. For each household, the number of parks, total park acreage, and average park quality score within one half-mile were calculated using GIS. Logistic regression was used to identify a parsimonious model predicting park use. ParkIndex values (representing the probability of park use) were mapped for all study areas and after scenarios involving the addition and renovation/improvement of parks. Out of 360 participants, 23.3% reported visiting a park within the past 30 days. The number of parks (OR = 1.36, 95% CI = 1.15-1.62), total park acreage (OR = 1.13, 95% CI = 1.07-1.19), and average park quality score (OR = 1.04, 95% CI = 1.01-1.06) within one half-mile were all associated with park use. Composite ParkIndex values across the study areas ranged from 0 to 100. Hypothetical additions of or renovations to study area parks resulted in ParkIndex increases of 22.7% and 19.2%, respectively. ParkIndex has substantial value for park and urban planners, citizens, and researchers as a common metric to facilitate awareness, decision-making, and intervention planning related to park access, environmental justice, and community health., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2020 The Author(s).)

Background: Diverse environmental factors are associated with physical activity (PA) and healthy eating (HE) among youth. However, no study has created a comprehensive obesogenic environment index for children that can be applied at a large geographic scale. The purpose of this study was to describe the development of a childhood obesogenic environment index (COEI) at the county level across the United States., Methods: A comprehensive search of review articles (n = 20) and input from experts (n = 12) were used to identify community-level variables associated with youth PA, HE, or overweight/obesity for potential inclusion in the index. Based on strength of associations in the literature, expert ratings, expertise of team members, and data source availability, 10 key variables were identified - six related to HE (# per 1000 residents for grocery/superstores, farmers markets, fast food restaurants, full-service restaurants, and convenience stores; as well as percentage of births at baby (breastfeeding)-friendly facilities) and four related to PA (percentage of population living close to exercise opportunities, percentage of population < 1 mile from a school, a composite walkability index, and number of violent crimes per 1000 residents). Data for each variable for all counties in the U.S. (n = 3142) were collected from publicly available sources. For each variable, all counties were ranked and assigned percentiles ranging from 0 to 100. Positive environmental variables (e.g., grocery stores, exercise opportunities) were reverse scored such that higher values for all variables indicated a more obesogenic environment. Finally, for each county, a total obesogenic environment index score was generated by calculating the average percentile for all 10 variables., Results: The average COEI percentile ranged from 24.5-81.0 (M = 50.02,s.d. = 9.01) across US counties and was depicted spatially on a choropleth map. Obesogenic counties were more prevalent (F = 130.43,p < .0001) in the South region of the U.S. (M = 53.0,s.d. = 8.3) compared to the Northeast (M = 43.2,s.d. = 6.9), Midwest (M = 48.1,s.d. = 8.5), and West (M = 48.4,s.d. = 9.8). When examined by rurality, there were also significant differences (F = 175.86,p < .0001) between metropolitan (M = 46.5,s.d. = 8.4), micropolitan (M = 50.3,s.d. = 8.1), and rural counties (M = 52.9,s.d. = 8.8) across the U.S., Conclusion: The COEI can be applied to benchmark obesogenic environments and identify geographic disparities and intervention targets. Future research can examine associations with obesity and other health outcomes.

Faith-based settings offer opportunities for reaching populations at risk for chronic conditions and are optimal settings for dissemination and implementation (D&I) research. Faith, Activity, and Nutrition (FAN) is an evidence-based program designed to promote physical activity (PA) and healthy eating (HE) through church policy, systems, and environmental change. We report implementation fidelity for Phase 1 of the FAN D&I project, a countywide effort. The group randomized study included pre- and postintervention assessments of core PA and HE components. We compared implementation in early intervention ( n = 35) versus delayed intervention (control, n = 19) churches; assessed individual church implementation; and examined the effects of level of implementation on church member outcomes. Implementation assessments were conducted with the FAN coordinator via telephone survey. Study outcomes were assessed with church members 8 to 12 months following baseline assessment via self-administered surveys. We found significantly higher levels of implementation for PA opportunities, PA and HE guidelines, PA and HE messages, and PA and HE pastor support in intervention versus control churches and showed church-level variation in PA and HE implementation. PA self-efficacy varied by level of implementation; high and low implementers did not differ in proportion of church members physically inactive, although low implementers had fewer members inactive than controls. The high level of implementation in intervention churches shows promise for broader dissemination of FAN.

Innovative measures can advance the measurement and understanding of obesogenic environments on health outcomes. In a southeastern US county, public parks (n = 103) were scored using detailed audit data, while two databases of food stores and restaurants were compiled (n = 1112). Using kernel density estimations, separate raster (pixel) surfaces were created for each built environment component. Each surface was scaled and summed to create an obesogenic environment measure. Health-promoting built environments were related to lower weight status in youth (β = -0.25, p < 0.05), with differences by urban and non-urban areas. This study demonstrates a unique method to quantify and test obesogenic built environments., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Background: Personal (i.e. egocentric) network characteristics are associated with health outcomes, including overweight and obesity. Previous research suggests educational attainment may interact with network characteristics to buffer these relationships. Limited research has examined the personal network characteristics of Black Americans, who have increased risk of overweight and obesity. The purpose of the current study was to examine associations between network characteristics and body mass index (BMI), and whether educational attainment modified these associations among Black Americans., Methods: In 2014, using respondent-driven sampling, we recruited 430 adult residents of eight low-income neighborhoods in Greenville, SC. Self-administered questionnaires assessed structural and compositional characteristics (i.e. size, density) of respondents' personal networks, socio-demographic characteristics, and health-related behaviors and conditions. Multilevel regression models with robust sandwich estimation accounted for clustering within respondent chains., Results: Among Black adults overall, network density-the number of connections among network members-was positively associated with BMI. Higher education moderated this relationship; among Black adults with a college degree, higher network density was inversely associated with BMI., Conclusions: Our data suggest low educational attainment may reflect more homogenous and less resourceful networks. Multiple pathways are discussed for how education interacts with network density on BMI among Black Americans., (© The Author(s) 2018. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Youth obesity is a major public health concern due to associated physical, social, and psychological health consequences. While rates and disparities of youth obesity levels are known, less research has explored spatial clustering patterns, associated correlates of spatial clustering, comparing patterns in urban and rural areas. Therefore, this study 1) examined spatial clustering of youth weight status, 2) investigated sociodemographic correlates of spatial clustering patterns, and 3) explored spatial patterns by level of urbanization. This study occurred in a southeastern US county (pop:474,266) in 2013. Trained physical education teachers collected height and weight for all 3 rd -5th grade youth (n = 13,469) and schools provided youth demographic attributes. BMI z-scores were calculated using standard procedures. Global Moran's Index and Anselin's Local Moran's I (LISA) were used detect global and local spatial clustering, respectively. To examine correlates of spatial clustering, BMI z-score residuals from a series of four linear regression models were spatially analyzed, mapped, and compared. SAS 9.4 and GeoDA were used for analyses; ArcGIS was used for mapping. Significant, positive global clustering (Index = 0.04,p < 0.001) was detected. LISA results showed that about 4.7% (n = 635) and 7.9% (n = 1058) of the sample were identified as high and low obesity localized spatial clusters (p < 0.01), respectively. Individual and neighborhood sociodemographic characteristics accounted for the majority of spatial clustering and differential patterns were observed by level of urbanization. Identifying geographic areas that contain significant spatial clusters is a powerful tool for understanding the location of and exploring contributing factors to youth obesity.

Context: As social media (eg, Twitter) continues to gain widespread popularity, health research and practice organizations may consider combining it with other electronic media (e-media) channels (eg, Web sites, e-newsletters) within their communication plans. However, little is known about added benefits of using social media when trying to reach public health audiences about physical activity., Objective: Learn about current use and preference for e-media communication channels among physical activity researchers and practitioners., Design: A Web-based survey was used, open for responses from August 20, 2015, through January 5, 2016. Survey participation was voluntary and anonymous. The survey was advertised through multiple channels targeting physical activity researchers and practitioners, including announcements on professional listservs and in e-newsletters, Twitter, and posts on Facebook pages of public health organizations., Setting and Participants: A total of 284 survey respondents had complete data., Main Outcome Measures: Typical use of e-media to receive, seek out, and share information about physical activity and health and what appeals to researchers and practitioners for professional use., Results: Most respondents preferred non-social media channels to social media and these preferences did not differ widely when examining subgroups such as researchers versus practitioners or social media users versus nonusers. There were few differences by respondent demographics, though younger respondents reported using social media more than older respondents. However, limiting analyses to respondents who identified as social media users, only about 1% of respondents ranked social media sources as their preferred channels for information; thus, most people would continue to be reached if communication remained largely via non-social media e-media channels., Conclusions: The present study supports growing evidence that careful surveying of a target audience should be undertaken when considering new communication channels, as preference and use may not support the effort required to create and maintain resource-intensive strategies like social media.

To examine the effects of a park awareness campaign on park use in 6 community parks. One-group pretest-posttest design. Six community parks located in a South Carolina county. Children, adolescents, and adults observed in community parks. A 1-month awareness campaign that culminated in single 1.5-hour events at 6 parks in April 2011 and May 2011. The System for Observing Play and Recreation in Communities was used to objectively measure park use in May 2010 (baseline) and May 2011 (postcampaign). Zero-inflated Poisson models tested whether the number of total park users and the number of park users engaged in sedentary, walking, and vigorous activities differed by observation date. Park use was significantly greater at baseline than postcampaign (97 vs 84 users, respectively; χ = 4.69, P = .03). There were no significant differences in the number of park users engaged in sedentary (χ = 2.45, P = .12), walking (χ = 0.29, P = .59), and vigorous (χ = 0.20, P = .65) activities between baseline and postcampaign. Although only 97 and 84 people were observed across all parks at baseline and postcampaign, a total of 629 people were observed during the 6 separate 1.5-hour campaign park events. This suggests that there is potential for greater park utilization in these communities, and important questions remain on how to conduct effective awareness campaigns and how to harness interest in park events for the purpose of contributing to future community-wide physical activity and health promotion efforts.

Creation of mobile technology environmental audit tools can provide a more interactive way for youth to engage with communities and facilitate participation in health promotion efforts. This study describes the development and validity and reliability testing of an electronic version of the Community Park Audit Tool (eCPAT). eCPAT consists of 149 items and incorporates a variety of technology benefits. Criterion-related validity and inter-rater reliability were evaluated using data from 52 youth across 47 parks in Greenville County, SC. A large portion of items (>70 %) demonstrated either fair or moderate to perfect validity and reliability. All but six items demonstrated excellent percent agreement. The eCPAT app is a user-friendly tool that provides a comprehensive assessment of park environments. Given the proliferation of smartphones, tablets, and other electronic devices among both adolescents and adults, the eCPAT app has potential to be distributed and used widely for a variety of health promotion purposes., Competing Interests: Compliance with ethical standards This study occurred in collaboration with Greenville County Parks, Recreation, and Tourism; the City of Greenville Parks and Recreation Department; and LiveWell Greenville and was approved by the Institutional Review Board (IRB) at the University of South Carolina.

Use of outdoor recreation areas (ORAs) is correlated with physical activity (PA) in community-dwelling adults. Additionally, the wide spread availability of ORAs, including their placement in disadvantaged neighborhoods, make them an especially promising venue through which to promote PA. The purpose of this study was to examine the combination of individual-level factors associated with ORA use in a socioeconomically diverse Southeastern US county. A 2011 random digit-dial survey included 829 adults aged 18+ years with complete data; questions assessed PA level and use/perceived safety of ORAs. Signal detection analysis, a non-parametric recursive partitioning technique, identified cutpoints for defining subgroups of respondents based on ORA use. Seven subgroups were defined ranging from 77.2 % ORA use (younger, met PA recommendations) to 31.8 % ORA use (older, perceived ORAs to be less safe). Signal detection did not identify gender or race as important for defining subgroups. Results suggest that gendered and ethnically-focused ORA promotion campaigns might be unnecessary. Instead, efforts could focus on increasing awareness of ORA facilities among older, less active adults.

Purpose: To document park use and park and neighborhood environment characteristics in rural communities, and to examine the relationship between park characteristics and park use., Methods: The System for Observing Play and Recreation in Communities measured use in 42 target areas across 6 community parks in May 2010 and October 2010. Direct observation instruments were used to assess park and neighborhood environment characteristics. Logistic regression was used to determine the relationship between the condition, number of amenities, and number of incivilities in a target area with target area use., Findings: Ninety-seven people were observed across all parks during May 2010 data collection and 116 people during October 2010 data collection. Low park quality index scores and unfavorable neighborhood environment characteristics were observed. There was a significant positive association between number of incivilities in a target area and target area use (OR = 1.91; 95% CI: 1.09-3.38; P = .03)., Conclusions: The number of people observed using the parks in this study was low, and it was considerably less than the number observed in other studies. The objective park and neighborhood environment characteristics documented in this study provide a more comprehensive understanding of parks than other studies. Further examining the complex relationship between park and neighborhood environment characteristics and park use is important, as it can inform park administrators and city planners of characteristics that are best able to attract visitors., (© 2014 National Rural Health Association.)

The purpose of this study was to explore the spatial relationship between park availability and chronic health conditions (CHCs) across age groups in Kansas City, MO. Multinomial logistic regression examined the association between having a park within one-half mile from home and the likelihood of having 0, 1, or 2 or more CHCs. Among respondents aged 40-59, those without a park within one-half mile from home were more than twice as likely to have 2 or more CHCs compared to respondents that had a park nearby. Parks may be an important protective factor for chronic diseases, especially among middle-aged adults among whom access to neighborhood recreational environments may be particularly important., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

Background: Parks are important resources for physical activity (PA), yet few studies have examined how perceptions of park characteristics relate to PA and health., Purpose: This study investigated associations between perceptions of neighborhood park quality and overall moderate-to-vigorous PA (MVPA), park-based PA, and body mass index (BMI)., Methods: Data were collected via questionnaire from 893 households in Kansas City, Missouri., Results: The newly developed neighborhood park quality scale demonstrated good test-retest and internal reliability. Residents' perceptions of neighborhood park quality were related to PA and health outcomes. Perceiving parks as a benefit was positively related to overall MVPA and park-based PA and negatively related to BMI. Perceptions of well-used parks were positively related to BMI, while perceived cleanliness was negatively related to park-based PA., Conclusions: Better measuring and understanding how perceptions of local parks are associated with PA and health can improve appreciation of how parks facilitate active living.

Background: Parks are key community assets for physical activity, but some evidence suggests these resources are not equitably distributed., Purpose: This study examined disparities by income and race/ethnicity in the availability, features, and quality of parks across Kansas City, Missouri., Methods: All parks and census tracts (CTs) were mapped using geographical information systems, and park features and quality were determined via audits. Multivariate analyses of covariance analyzed differences in park availability, features, and quality across low-, medium-, and high-income and race/ethnicity CT tertiles., Results: Low-income CTs contained significantly more parks, but also had fewer parks with playgrounds and more quality concerns per park. High minority CTs had more parks with basketball courts, but fewer parks with trails. Medium-income CTs contained more aesthetic features per park., Conclusions: Future research should examine policies that contribute to and that might rectify disparities in park features and quality, especially in low-income and high minority areas.

Unlabelled: Healthy People 2020 states ethnic health disparities are a priority for the US. Although considerable national statistics document ethnic-related health disparities, information specific to rural areas is scarce and does not provide direction for implementing chronic disease prevention programming. Therefore, the purpose of our project was to use the Hispanic Health Needs Assessment (HHNA), a tool designed by the National Alliance for Hispanic Health (NAHH), in culturally diverse, rural Southwest Kansas. Our focus areas included: access to healthcare, heart disease, diabetes, overweight, nutrition, and physical activity., Methods: The assessment followed six steps: (1) developing the assessment team, (2) data gathering using community member surveys, existing statistics and community leader interviews, (3) assembling the findings, (4) formulating recommendations for action at individual, institutional, community and policy levels, (5) sharing findings and program planning, and (6) sharing findings with NAHH. We identified several challenges collecting health related data in rural communities, but overall, the HHNA was a comprehensive and useful tool for guiding a community level health assessment., Conclusion: This process has provided our community partners with locally relevant statistics regarding the current status of health, health behaviors, and perceived community needs to inform resource allocation, program planning and applications for new funding initiatives., (Copyright © 2012 Elsevier Ltd. All rights reserved.)