The Association between Self-Reported Grocery Store Access, Fruit and Vegetable Intake, Sugar-Sweetened Beverage Consumption, and Obesity in a Racially Diverse, Low-Income Population

Gase, Lauren N.; DeFosset, Amelia R.; Smith, Lisa V.; Kuo, Tony

doi:10.3389/fpubh.2014.00229

Cited by 23 publications

(30 citation statements)

References 25 publications

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“…Studies of actual food destinations found that most people did not shop at the nearest supermarket, but rather went elsewhere [47, 49]. Though based on counts and densities, the results are consistent with prior reports that distances to food sources did not affect diet quality [4, 44, 45, 49, 53, 82]. It may be time to move from home-centric BE measures to GPS-based tracking of food activity space [83, 84].…”

Section: Discussionsupporting

confidence: 85%

“…First, distance between the home and food sources was not always associated either with diet quality or with body weight [7, 44–49]. Some studies found that people living closer to supermarkets had lower body weights [2, 3, 7, 19, 26, 50–52] but other studies did not [46, 49, 53]. Some studies found that people living closer to fast foods and convenience stores were more likely to be obese [50, 54–57] but other studies did not [41, 46, 48].…”

Section: Introductionmentioning

confidence: 99%

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Obesity, diet quality, physical activity, and the built environment: the need for behavioral pathways

et al. 2016

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BackgroundThe built environment (BE) is said to influence local obesity rates. Few studies have explored causal pathways between home-neighborhood BE variables and health outcomes such as obesity. Such pathways are likely to involve both physical activity and diet.MethodsThe Seattle Obesity Study (SOS II) was a longitudinal cohort of 440 adult residents of King Co, WA. Home addresses were geocoded. Home-neighborhood BE measures were framed as counts and densities of food sources and physical activity locations. Tax parcel property values were obtained from County tax assessor. Healthy Eating Index (HEI 2010) scores were constructed using data from food frequency questionnaires. Physical activity (PA) was obtained by self-report. Weights and heights were measured at baseline and following 12 months’ exposure. Multivariable regressions examined the associations among BE measures at baseline, health behaviors (HEI-2010 and physical activity) at baseline, and health outcome both cross-sectionally and longitudinally.ResultsNone of the conventional neighborhood BE metrics were associated either with diet quality, or with meeting PA guidelines. Only higher property values did predict better diets and more physical activity. Better diets and more physical activity were associated with lower obesity prevalence at baseline and 12 mo, but did not predict weight change.ConclusionAny links between the BE and health outcomes critically depend on establishing appropriate behavioral pathways. In this study, home-centric BE measures, were not related to physical activity or to diet. Further studies will need to consider a broader range of BE attributes that may be related to diets and health.

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Section: Discussionsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Obesity, diet quality, physical activity, and the built environment: the need for behavioral pathways

et al. 2016

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“…Whereas aspects of the neighborhood PA environment did predict walking and lower body weights , there was little to link the food environment to diet or diet‐related health outcomes, such as obesity, diabetes, and cardiovascular disease. Physical access to supermarkets around the home was unrelated to diet quality or obesity rates . There is preliminary evidence that activity space (AS) metrics are also unrelated to diet, obesity, or diabetes .…”

Section: Introductionmentioning

confidence: 99%

Obesity and the Built Environment: A Reappraisal

Drewnowski

Buszkiewicz

Aggarwal

et al. 2019

Obesity

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The built environment (BE) has been viewed as an important determinant of health. Numerous studies have linked BE exposure, captured using a variety of methods, to diet quality and to area prevalence of obesity, diabetes, and cardiovascular disease. First‐generation studies defined the neighborhood BE as the area around the home. Second‐generation studies turned from home‐centric to person‐centric BE measures, capturing an individual’s movements in space and time. Those studies made effective uses of global positioning system tracking devices and mobile phones, sometimes coupled with accelerometers and remote sensors. Activity space metrics explored travel paths, modes, and destinations to assess BE exposure that was both person and context specific. However, as measures of the contextual exposome have become ever more fine‐grained and increasingly complex, connections to long‐term chronic diseases with complex etiologies, such as obesity, are in danger of being lost. Furthermore, few studies on obesity and the BE have included intermediate energy balance behaviors, such as diet and physical activity, or explored the potential roles of social interactions or psychosocial pathways. Emerging survey‐based applications that identify habitual destinations and associated travel patterns may become the third generation of tools to capture health‐relevant BE exposures in the long term.

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“…An examination of driving distances found an inverse association between proximity to fastfood restaurants and body mass index (BMI) among the Framingham Heart Study offspring cohort (Block et al, 2011). In addition, low-income adults in California who drive longer time and greater distances to grocery stores are more likely to eat fruits and vegetables (Gase et al, 2014). Therefore, the underlying neighbourhood-level relationships between obesity and food environments may also exist in areas larger than a residential neighbourhood (Hattori et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

The food environment and adult obesity in US metropolitan areas

Michimi

Wimberly

2015

Geospat Health

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This research examines the larger-scale associations between obesity and food environments in metropolitan areas in the United States (US). The US Census County Business Patterns dataset for 2011 was used to construct various indices of food environments for selected metropolitan areas. The numbers of employees engaged in supermarkets, convenience stores, full service restaurants, fast food restaurants, and snack/coffee shops were standardised using the location quotients, and factor analysis was used to produce two uncorrelated factors measuring food environments. Data on obesity were obtained from the 2011 Behavioral Risk Factor Surveillance System. Individual level obesity measures were linked to the metropolitan area level food environment factors. Models were fitted using generalised estimating equations to control for metropolitan area level intra-correlation and individual level sociodemographic characteristics. It was found that adults residing in cities with a large share of supermarket and full-service restaurant workers were less likely to be obese, while adults residing in cities with a large share of convenience store and fast food restaurant workers were more likely to be obese. Supermarkets and full-service restaurant workers are concentrated in the Northeast and West of the US, where obesity prevalence is relatively lower, while convenience stores and fast-food restaurant workers are concentrated in the South and Midwest, where obesity prevalence is relatively higher. The food environment landscapes measured at the metropolitan area level explain the continental-scale patterns of obesity prevalence. The types of food that are readily available and widely served may translate into obesity disparities across metropolitan areas.

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The Association between Self-Reported Grocery Store Access, Fruit and Vegetable Intake, Sugar-Sweetened Beverage Consumption, and Obesity in a Racially Diverse, Low-Income Population

Cited by 23 publications

References 25 publications

Obesity, diet quality, physical activity, and the built environment: the need for behavioral pathways

Obesity, diet quality, physical activity, and the built environment: the need for behavioral pathways

Obesity and the Built Environment: A Reappraisal

The food environment and adult obesity in US metropolitan areas

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