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      Assessing mediation of behavioral and stress pathways in the association between neighborhood environments and obesity outcomes

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          Abstract

          Although many studies have reported associations between characteristics of the neighborhood environment and obesity, little is understood about the pathways or mechanisms through which these associations operate. The purpose of this study was to examine possible behavioral and stress pathways hypothesized to mediate the association between neighborhood environments and obesity and whether pathways contribute to different obesity outcomes. Cross-sectional data were used from the 2012–2014 Women and Their Children's Health Study (WaTCH) in Louisiana (N = 909). Participants' neighborhoods, body mass index (BMI) and waist circumference (WC) were objectively measured. The causal inference approach to mediation analysis was used to obtain indirect estimates for self-reported measures of physical activity, low access to food, and depression. The mean BMI was 32.0 kg/m 2 and the mean WC was 98.6 cm. The (adverse) neighborhood environment was significantly associated BMI (β = 0.17 kg/m 2; 95% Confidence Interval (CI): 0.03, 0.31) and WC (β = 0.64; 95% CI: 0.34, 0.95, after adjusting for covariates. Neither depression, physical activity, nor low food access mediated those associations. Further research that investigates and uses better measures of the behavioral and stress pathways through which the neighborhood environment influences obesity is warranted.

          Highlights

          • Used mediation to examine mechanisms between neighborhoods and obesity.

          • The neighborhood environment was significantly associated with BMI and WC.

          • Neither depression, physical activity, nor food access were significant mediators.

          • Better measures of mediators are warranted in future research.

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          Most cited references31

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          Environmental contributions to the obesity epidemic.

          The current epidemic of obesity is caused largely by an environment that promotes excessive food intake and discourages physical activity. Although humans have evolved excellent physiological mechanisms to defend against body weight loss, they have only weak physiological mechanisms to defend against body weight gain when food is abundant. Control of portion size, consumption of a diet low in fat and energy density, and regular physical activity are behaviors that protect against obesity, but it is becoming difficult to adopt and maintain these behaviors in the current environment. Because obesity is difficult to treat, public health efforts need to be directed toward prevention.
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            The built environment and obesity: a systematic review of the epidemiologic evidence.

            We completed a systematic search of the epidemiologic literature on built environment and obesity and identified 63 relevant papers, which were then evaluated for the quality of between-study evidence. We were able to classify studies into one of two primary approaches for defining place and corresponding geographic areas of influence: those based on contextual effects derived from shared pre-determined administrative units and those based on individually unique geographic buffers. The 22 contextual papers evaluated 80 relations, 38 of which did not achieve statistical significance. The 15 buffer papers evaluated 40 relations, 24 of which did not achieve statistical significance. There was very little between-study similarity in methods in both types of approaches, which prevented estimation of pooled effects. The great heterogeneity across studies limits what can be learned from this body of evidence. Copyright 2009 Elsevier Ltd. All rights reserved.
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              The built environment and obesity.

              Obesity results from a complex interaction between diet, physical activity, and the environment. The built environment encompasses a range of physical and social elements that make up the structure of a community and may influence obesity. This review summarizes existing empirical research relating the built environment to obesity. The Medline, PsychInfo, and Web of Science databases were searched using the keywords "obesity" or "overweight" and "neighborhood" or "built environment" or "environment." The search was restricted to English-language articles conducted in human populations between 1966 and 2007. To meet inclusion criteria, articles had to 1) have a direct measure of body weight and 2) have an objective measure of the built environment. A total of 1,506 abstracts were obtained, and 20 articles met the inclusion criteria. Most articles (84%) reported a statistically significant positive association between some aspect of the built environment and obesity. Several methodological issues were of concern, including the inconsistency of measurements of the built environment across studies, the cross-sectional design of most investigations, and the focus on aspects of either diet or physical activity but not both. Given the importance of the physical and social contexts of individual behavior and the limited success of individual-based interventions in long-term obesity prevention, more research on the impact of the built environment on obesity is needed.
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                Author and article information

                Contributors
                Journal
                Prev Med Rep
                Prev Med Rep
                Preventive Medicine Reports
                Elsevier
                2211-3355
                14 June 2016
                December 2016
                14 June 2016
                : 4
                : 248-255
                Affiliations
                [a ]Pennington Biomedical Research Center, Baton Rouge, LA, USA
                [b ]College of Humanities & Social Sciences, Louisiana State University, Baton Rouge, LA, USA
                [c ]Epidemiology Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA
                [d ]Biostatistics Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA
                Author notes
                [* ]Correspondence to: S. M. Sullivan, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA 70808, USA.Pennington Biomedical Research Center6400 Perkins RoadBaton RougeLA70808USA Samaah.Sullivan@ 123456pbrc.edu SamaahSullivan@ 123456lsu.edu
                [** ]Corresponding author at: Epidemiology Program, School of Public Health, Louisiana State University Health Sciences Center, 2020 Gravier Street, 3rd Floor, New Orleans, LA 70112, USA.Epidemiology ProgramSchool of Public HealthLouisiana State University Health Sciences Center2020 Gravier Street3rd FloorNew OrleansLA70112USA Abedim@ 123456lsuhsc.edu
                Article
                S2211-3355(16)30062-6
                10.1016/j.pmedr.2016.06.012
                5021920
                27635379
                f33e4932-c91f-41bb-9c6a-e9ed669f3f28
                © 2016 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 13 May 2016
                : 12 June 2016
                Categories
                Regular Article

                mediation analysis,indirect effects,body mass index,waist circumference,neighborhood environments

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