J. Aaron Hipp

Effects of buffer size and shape on associations between the built environment and energy balance

Uncertainty in the relevant spatial context may drive heterogeneity in findings on the built environment and energy balance. To estimate the effect of this uncertainty, we conducted a sensitivity analysis defining intersection and business densities and counts within different buffer sizes and shapes on associations with self-reported walking and body mass index. Linear regression results indicated that the scale and shape of buffers influenced study results and may partly explain the inconsistent findings in the built environment and energy balance literature.

Emerging technologies: webcams and crowd-sourcing to identify active transportation.

PA behaviors and the ability to eliminate researcher and respondent bias in assessing post-change environments. A novel transdisciplinary collaboration between public health and computer science is presented here with the goal of automatically analyzing existing public data feeds in innovative ways to quantify BE intervention effectiveness.

Spatial analysis and correlates of county-level diabetes prevalence, 2009-2010.

Introduction Information on the relationship between diabetes prevalence and built environment attributes could allow public health programs to better target populations at risk for diabetes. This study sought to determine the spatial prevalence of diabetes in the United States and how this distribution is associated with the geography of common diabetes correlates. Methods Data from the Centers for Disease Control and Prevention and the US Census Bureau were integrated to perform geographically weighted regression at the county level on the following variables: percentage nonwhite population, percentage Hispanic population, education level, percentage unemployed, percentage living below the federal poverty level, population density, percentage obese, percentage physically inactive, percentage population that cycles or walks to work, and percentage neighborhood food deserts. Results We found significant spatial clustering of county-level diabetes prevalence in the United States; however, diabetes prevalence was inconsistently correlated with significant predictors. Percentage living below the federal poverty level and percentage nonwhite population were associated with diabetes in some regions. The percentage of population cycling or walking to work was the only significant built environment–related variable correlated with diabetes, and this association varied in magnitude across the nation. Conclusion Sociodemographic and built environment–related variables correlated with diabetes prevalence in some regions of the United States. The variation in magnitude and direction of these relationships highlights the need to understand local context in the prevention and maintenance of diabetes. Geographically weighted regression shows promise for public health research in detecting variations in associations between health behaviors, outcomes, and predictors across geographic space.

Mapping the development of research on physical activity and the built environment

OBJECTIVE The importance of the built environment for physical activity has been recognized in recent decades, resulting in new research. This study aims to understand the current structure of physical activity and built environment (PABE) research and identify gaps to address as the field continues to rapidly develop. METHODS Key PABE articles were nominated by top scholars and a snowball sample of 2764 articles was collected in 2013 using citation network links. Article abstracts were examined to determine research focus and network analysis was used to examine the evolution of scholarship. RESULTS The network included 318 PABE articles. Of these, 191 were discovery-focused, examining the relationship between physical activity and built environment; 79 were reviews summarizing previous PABE work; 38 focused on theory and methods for studying PABE; six were delivery-focused, examining PABE interventions; and four addressed other topics. CONCLUSIONS Network composition suggested that PABE is in the discovery phase, although may be transitioning given the large number and central position of review documents that summarize existing literature. The small amount of delivery research was not well integrated into the field. PABE delivery researchers may wish to make explicit connections to the discovery literature in order to better integrate the field.

Ciclovía Initiatives: Engaging Communities, Partners, and Policy Makers Along the Route to Success

CONTEXT Recent efforts to increase physical activity through changes to the built environment have led to strategies and programs that use existing public space, including bicycle lanes, temporary parks, and the ciclovia initiative (scheduled events in which streets are closed to motorized vehicles and opened for recreational activities) popularized in South America. OBJECTIVE This article describes and compares the processes and structures involved in developing and implementing a ciclovia-type program in 2 US urban contexts: San Francisco, California, and St Louis, Missouri. Considering the current growth of and interest in ciclovia initiatives, important outcomes, lessons learned are offered for application in other, similar settings. DESIGN Primary sources from both initiatives and from published research on ciclovias constitute the body of evidence and include year-end reports, grant applications, meeting minutes, budgets, published ciclovia guidelines, evaluation studies and Web sites, media sources, and interviews and personal communication with the organizers. MAIN OUTCOME MEASURES Primary source documents were reviewed and included in this analysis if they offered information on 3 grounded questions: What processes were used in developing the initiative? What are the current structures and practices used in implementation of initiatives? What are important lessons learned and best practices from initiatives for recommendations to stakeholders and policy makers in other contexts? RESULTS Among the categories compared, the structures and processes for implementation regarding buy-in and city department collaboration, route selection, programming, partnerships, media promotion, community outreach, and merchant support were relatively similar among the 2 initiatives. The categories that differed included staffing and volunteer engagement and funding. CONCLUSION Buy-in from community partners, merchants, residents, and city agencies is critical for a positive experience in developing and implementing ciclovia-type initiatives in urban environments. When funding and staffing are inconsistent or limited, the quality and sustainability of the initiative is less certain.

Workplace social and organizational environments and healthy-weight behaviors.

Background The workplace is an important setting for health promotion including nutrition and physical activity behaviors to prevent obesity. This paper explores the relationship between workplace social environment and cultural factors and diet and physical activity (PA) behaviors and obesity among employees. Methods Between 2012 and 2013, telephone interviews were conducted with participants residing in four Missouri metropolitan areas. Questions included demographic characteristics, workplace socio/organizational factors related to activity and diet, and individual diet and PA behaviors, and obesity. Multivariate logistic regression was used to examine associations between the workplace socio/organizational environment and nutrition, PA, and obesity. Results There were differences in reported health behaviors and socio/organizational environment by gender, race, age, income, and worksite size. For example, agreement with the statement the ‘company values my health’ was highest among Whites, older employees, and higher income workers. As worksite size increased, the frequency of reporting seeing co-workers doing several types of healthy behaviors (eat fruits and vegetables, doing PA, and doing PA on breaks at work) increased. In adjusted analyses, employees agreeing the company values my health were more likely to engage in higher PA levels (aOR=1.54, 95% CI: 1.09-2.16) and less likely to be obese (aOR=0.73, 95% CI: 0.54-0.98). Seeing co-workers eating fruits and vegetables was associated with increased reporting of eating at least one vegetable per day (aOR=1.43, 95% CI: 1.06-1.91) and seeing co-workers being active was associated with higher PA levels (aOR 1.56, 95% CI: 1.19-2.05). Conclusions This research suggests that social/organizational characteristics of the workplace environment, particularly feeling the company values the workers’ health and to seeing co-workers engaging in healthy behaviors, may be related to nutrition and PA behaviors and obesity. These findings point to the potential for intervention targets including environment and policy changes.

The Relationship Between Perceived Greenness and Perceived Restorativeness of University Campuses and Student-Reported Quality of Life

University students are exposed to many stressors, necessitating opportunities for restoration. Research has indicated that actual experiences in nearby green spaces are associated with restorative psychological and physiological health benefits. However, the perception of greenness and restorativeness of environments might also impact health outcomes. Can green campus spaces provide restorative potential to university students? Do students perceive the greenness and restorative benefits? To explore these questions, students at three universities (convenience sample) were surveyed with items on perceived greenness of campus, perceived restorativeness of campus, and the World Health Organization Quality-of-Life Scale. Results indicate that those with higher perceived campus greenness report greater quality of life, a pathway significantly and partially mediated by perceived campus restorativeness. Future research should help identify effective ways in which university green spaces can be developed as health resources for students.

Occupational sitting and weight status in a diverse sample of employees in Midwest metropolitan cities, 2012–2013

Introduction Few studies have examined the association between occupational sitting and body mass index (BMI). There is a particular lack of evidence among diverse populations. The objective of this study was to quantify the association between self-reported occupational sitting time and BMI by sex and race, independent of levels of occupational and leisure-time physical activity. Methods In 2012 and 2013, participants residing in 4 Missouri metropolitan areas were interviewed via telephone. The interview included questions on sociodemographic characteristics and time spent sitting at work. Multinomial logistic regressions were used to examine the association between occupational sitting and BMI between men and women and between black and white women. Results Overall 1,891 participants (66.9% women, 29.5% black) provided complete data. Median daily time spent by both men and women in occupational sitting was 180 minutes (interquartile range, 30 to 360 minutes); most participants were overweight (32.3%) or obese (33.6%). After adjusting for potential confounders, we found that black women in 3 categories of sitting time (31–180 minutes, 181–360 minutes, and >360 minutes) were approximately 2.5 times as likely (P for trend, .02) to be obese as black women who reported sitting for 30 minutes or less, independent of occupational and leisure-time physical activity. This association was not seen among white women. No significant associations were found among men. Conclusion Occupational sitting is associated with an increased likelihood of obesity among black women, independent of occupational and leisure-time physical activity. Areas of future research include evaluating associations among various occupations and industries, assessing the association in prospective cohorts, and exploring the feasibility of worksite interventions that target sitting.

Taking Physical Activity to the Streets: The Popularity of Ciclovía and Open Streets Initiatives in the United States

As a way to reduce chronic diseases associated with increasingly sedentary lifestyles, the Centers for Disease Control and Prevention advocates community-wide initiatives promoting physical activity. One such initiative gaining popularity in the United States is the Ciclovı́a, or Open Streets initiative, where city streets are opened to residents for physical activity and closed to motorized traffic. Open Streets gained international prominence in Bogota, Colombia, and are viewed by policy makers and health and community advocates as being beneficial to social, environmental, and community health. The interest in initiatives is demonstrated by the increase in the number of events within and across the United States in recent years; between 2008 and 2013, over 90 U.S. cities hosted at least one event. The cities hosting events range in size from small suburban towns to large metropolitan areas and also range in socioeconomic demographics and diversity. Open Streets offer a potentially effective public health intervention in a variety of contexts.

Spatial Energetics: Integrating Data From GPS, Accelerometry, and GIS to Address Obesity and Inactivity.

To address the current obesity and inactivity epidemics, public health researchers have attempted to identify spatial factors that influence physical inactivity and obesity. Technologic and methodologic developments have led to a revolutionary ability to examine dynamic, high-resolution measures of temporally matched location and behavior data through GPS, accelerometry, and GIS. These advances allow the investigation of spatial energetics, high-spatiotemporal resolution data on location and time-matched energetics, to examine how environmental characteristics, space, and time are linked to activity-related health behaviors with far more robust and detailed data than in previous work. Although the transdisciplinary field of spatial energetics demonstrates promise to provide novel insights on how individuals and populations interact with their environment, there remain significant conceptual, technical, analytical, and ethical challenges stemming from the complex data streams that spatial energetics research generates. First, it is essential to better understand what spatial energetics data represent, the relevant spatial context of analysis for these data, and if spatial energetics can establish causality for development of spatially relevant interventions. Second, there are significant technical problems for analysis of voluminous and complex data that may require development of spatially aware scalable computational infrastructures. Third, the field must come to agreement on appropriate statistical methodologies to account for multiple observations per person. Finally, these challenges must be considered within the context of maintaining participant privacy and security. This article describes gaps in current practice and understanding and suggests solutions to move this promising area of research forward.