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      Individual and food environmental factors: association with diet

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          Abstract

          Objective

          To examine the associations of individual and food environmental factors with fruit and vegetable (F&V) intake in a city in a low-to-middle-income country (LMIC).

          Design

          Cross-sectional.

          Setting

          Representative sample of the Brazilian Primary Care service known as the Health Academy Program (HAP) in Belo Horizonte, a Brazilian city.

          Subjects

          Using a conceptual model as a guide, individual and food environment data were obtained through: (i) face-to-face interviews with participants aged 20 years or older; and (ii) F&V food store audits. A broad set of individual, household, and community and consumer nutrition environment variables was investigated. Multilevel linear regression was used to quantify area-level variations in F&V intake and to estimate associations with the factors.

          Results

          Eighteen HAP centres were selected and 2944 participants and 336 food stores were included. F&V intake varied between contexts, being higher in areas with better socio-economic conditions and food store quality, such as specialised F&V markets. Individual-level factors, including age, income, food insecurity, stage of change, self-efficacy and decisional balance, were significantly associated with F&V intake. After controlling for individual-level characteristics, greater F&V intake was also associated with higher quality of food stores.

          Conclusions

          In one of the first studies to comprehensively assess the food environment in an LMIC, individual-level factors accounted for the largest variation in F&V intake; however, the food environment was also important, because area-level variables explained 10·5 % of the F&V intake variation. The consumer nutrition environment was more predictive of healthy eating than was the community nutrition environment. The findings suggest new possibilities for interventions.

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          Most cited references22

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          Neighborhoods and health.

          Features of neighborhoods or residential environments may affect health and contribute to social and race/ethnic inequalities in health. The study of neighborhood health effects has grown exponentially over the past 15 years. This chapter summarizes key work in this area with a particular focus on chronic disease outcomes (specifically obesity and related risk factors) and mental health (specifically depression and depressive symptoms). Empirical work is classified into two main eras: studies that use census proxies and studies that directly measure neighborhood attributes using a variety of approaches. Key conceptual and methodological challenges in studying neighborhood health effects are reviewed. Existing gaps in knowledge and promising new directions in the field are highlighted.
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            Strengthening of accountability systems to create healthy food environments and reduce global obesity.

            To achieve WHO's target to halt the rise in obesity and diabetes, dramatic actions are needed to improve the healthiness of food environments. Substantial debate surrounds who is responsible for delivering effective actions and what, specifically, these actions should entail. Arguments are often reduced to a debate between individual and collective responsibilities, and between hard regulatory or fiscal interventions and soft voluntary, education-based approaches. Genuine progress lies beyond the impasse of these entrenched dichotomies. We argue for a strengthening of accountability systems across all actors to substantially improve performance on obesity reduction. In view of the industry opposition and government reluctance to regulate for healthier food environments, quasiregulatory approaches might achieve progress. A four step accountability framework (take the account, share the account, hold to account, and respond to the account) is proposed. The framework identifies multiple levers for change, including quasiregulatory and other approaches that involve government-specified and government-monitored progress of private sector performance, government procurement mechanisms, improved transparency, monitoring of actions, and management of conflicts of interest. Strengthened accountability systems would support government leadership and stewardship, constrain the influence of private sector actors with major conflicts of interest on public policy development, and reinforce the engagement of civil society in creating demand for healthy food environments and in monitoring progress towards obesity action objectives.
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              Obesity and supermarket access: proximity or price?

              We examined whether physical proximity to supermarkets or supermarket price was more strongly associated with obesity risk. The Seattle Obesity Study (SOS) collected and geocoded data on home addresses and food shopping destinations for a representative sample of adult residents of King County, Washington. Supermarkets were stratified into 3 price levels based on average cost of the market basket. Sociodemographic and health data were obtained from a telephone survey. Modified Poisson regression was used to test the associations between obesity and supermarket variables. Only 1 in 7 respondents reported shopping at the nearest supermarket. The risk of obesity was not associated with street network distances between home and the nearest supermarket or the supermarket that SOS participants reported as their primary food source. The type of supermarket, by price, was found to be inversely and significantly associated with obesity rates, even after adjusting for individual-level sociodemographic and lifestyle variables, and proximity measures (adjusted relative risk=0.34; 95% confidence interval=0.19, 0.63) Improving physical access to supermarkets may be one strategy to deal with the obesity epidemic; improving economic access to healthy foods is another.
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                Author and article information

                Journal
                Public Health Nutrition
                Public Health Nutr.
                Cambridge University Press (CUP)
                1368-9800
                1475-2727
                October 2018
                July 06 2018
                October 2018
                : 21
                : 15
                : 2782-2792
                Article
                10.1017/S1368980018001623
                29976270
                ed117b17-30aa-4823-a556-de860cb4a88a
                © 2018

                https://www.cambridge.org/core/terms

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