Neighborhood Food Environment Research Articles

Combined measure of neighborhood food and physical activity environments and weight-related outcomes: The CARDIA study

Combined measure of neighborhood food and physical activity environments and weight-related outcomes: The CARDIA study

Multiple pathways from the neighborhood food environment to increased body mass index through dietary behaviors: A structural equation-based analysis in the CARDIA study

Multiple pathways from the neighborhood food environment to increased body mass index through dietary behaviors: A structural equation-based analysis in the CARDIA study

Statistical Approaches Used to Assess the Equity of Access to Food Outlets: A Systematic Review.

BackgroundInequalities in eating behaviours are often linked to the types of food retailers accessible in neighbourhood environments. Numerous studies have aimed to identify if access to healthy and unhealthy food retailers is socioeconomically patterned across neighbourhoods, and thus a potential risk factor for dietary inequalities. Existing reviews have examined differences between methodologies, particularly focussing on neighbourhood and food outlet access measure definitions. However, no review has informatively discussed the suitability of the statistical methodologies employed; a key issue determining the validity of study findings. Our aim was to examine the suitability of statistical approaches adopted in these analyses.MethodsSearches were conducted for articles published from 2000–2014. Eligible studies included objective measures of the neighbourhood food environment and neighbourhood-level socio-economic status, with a statistical analysis of the association between food outlet access and socio-economic status.ResultsFifty-four papers were included. Outlet accessibility was typically defined as the distance to the nearest outlet from the neighbourhood centroid, or as the number of food outlets within a neighbourhood (or buffer). To assess if these measures were linked to neighbourhood disadvantage, common statistical methods included ANOVA, correlation, and Poisson or negative binomial regression. Although all studies involved spatial data, few considered spatial analysis techniques or spatial autocorrelation.ConclusionsWith advances in GIS software, sophisticated measures of neighbourhood outlet accessibility can be considered. However, approaches to statistical analysis often appear less sophisticated. Care should be taken to consider assumptions underlying the analysis and the possibility of spatially correlated residuals which could affect the results.

Measuring food availability and accessibility among adolescents: Moving beyond the neighbourhood boundary

Geographic methods have provided insight about food location availability and accessibility in understanding neighbourhood variations in health. However, quantifying exposure to food locations within a pre-defined range of an individual's residence ignores locations outside of the residential neighbourhood encountered in daily life. Global positioning system (GPS) data enables exploration of multiple contextual influences on health. This study defines place in relation to behaviour, employing GPS data to 1) describe adolescent food environments within and outside of the residential buffer, 2) quantify actual food location visits, and 3) explore associations between availability and accessibility of food locations and dietary intake. Adolescents (N = 380; ages 12–16), wore GPS loggers for up to seven days. Availability and accessibility of food locations were defined by counts and distances to food locations within a 15-min walk (1 km) of home, as well as within 50 m of an adolescent's GPS track. We compared the proportion of food locations within the residential buffer to the proportion outside but within the GPS buffer. These proportions were compared to counts and distances to food locations actually visited. We explored associations between food location availability and accessibility with dietary intake variables. Food location availability and accessibility was greater and visits occurred more commonly outside of the residential buffer than within it. Food location availability and accessibility was greater for urban than suburban and rural adolescents. There were no associations between home-based measures of availability and accessibility and dietary intake and only one for GPS-based measures, with greater distance to convenience stores associated with greater fruit and vegetable consumption. This study provides important descriptive information about adolescent exposure to food locations. Findings confirm that traditional home-based approaches overestimate the importance of the neighbourhood food environment, but provide only modest evidence of linkages between the food environment beyond the residential neighbourhood boundary and dietary intake.

Neighborhood influences on girls' obesity risk across the transition to adolescence.

The neighborhoods in which children live, play, and eat provide an environmental context that may influence obesity risk and ameliorate or exacerbate health disparities. The current study examines whether neighborhood characteristics predict obesity in a prospective cohort of girls. Participants were 174 girls (aged 8-10 years at baseline), a subset from the Cohort Study of Young Girls' Nutrition, Environment, and Transitions. Trained observers completed street audits within a 0.25-mile radius around each girl's residence. Four scales (food and service retail, recreation, walkability, and physical disorder) were created from 40 observed neighborhood features. BMI was calculated from clinically measured height and weight. Obesity was defined as BMI-for-age ≥ 95%. Logistic regression models using generalized estimating equations were used to examine neighborhood influences on obesity risk over 4 years of follow-up, controlling for race/ethnicity, pubertal status, and baseline BMI. Fully adjusted models also controlled for household income, parent education, and a census tract measure of neighborhood socioeconomic status. A 1-SD increase on the food and service retail scale was associated with a 2.27 (95% confidence interval, 1.42 to 3.61; P < .001) increased odds of being obese. A 1-SD increase in physical disorder was associated with a 2.41 (95% confidence interval, 1.31 to 4.44; P = .005) increased odds of being obese. Other neighborhood scales were not associated with risk for obesity. Neighborhood food and retail environment and physical disorder around a girl's home predict risk for obesity across the transition from late childhood to adolescence.

The social dynamics of healthy food shopping and store choice in an urban environment

To respond to the high prevalence of obesity and its associated health consequences, recent food research and policy have focused on neighborhood food environments, especially the links between health and retail mix, proximity of food outlets, and types of foods available. In addition, the social environment exerts important influences on food-related behaviors, through mechanisms like role-modeling, social support, and social norms. This study examined the social dynamics of residents' health-related food-shopping behaviors in 2010–11 in urban Philadelphia, where we conducted 25 semi-structured resident interviews—the foundation for this paper—in addition to 514 structured interviews and a food environment audit. In interviews, participants demonstrated adaptability and resourcefulness in their food shopping; they chose to shop at stores that met a range of social needs. Those needs ranged from practical financial considerations, to fundamental issues of safety, to mundane concerns about convenience, and juggling multiple work and family responsibilities. The majority of participants were highly motivated to adapt their shopping patterns to accommodate personal financial constraints. In addition, they selectively shopped at stores frequented by people who shared their race/ethnicity, income and education, and they sought stores where they had positive interactions with personnel and proprietors. In deciding where to shop in this urban context, participants adapted their routines to avoid unsafe places and the threat of violence. Participants also discussed the importance of convenient stores that allowed for easy parking, accommodation of physical disabilities or special needs, and integration of food shopping into other daily activities like meeting children at school. Food research and policies should explicitly attend to the social dynamics that influence food-shopping behavior. In our social relationships, interactions, and responsibilities, there are countless opportunities to influence—and also to improve—health.

Neighborhood socioeconomic status and food environment: A 20-year longitudinal latent class analysis among CARDIA participants

Cross-sectional studies suggest that neighborhood socioeconomic (SES) disadvantage is associated with obesogenic food environments. Yet, it is unknown how exposure to neighborhood SES patterning through adulthood corresponds to food environments that also change over time. We used latent class analysis (LCA) to classify participants in the U.S.-based Coronary Artery Risk Development in Young Adults study [n=5,114 at baseline 1985–1986 to 2005–2006] according to their longitudinal neighborhood SES residency patterns (upward, downward, stable high and stable low). For most classes of residents, the availability of fast food and non-fast food restaurants and supermarkets and convenience stores increased (p<0.001). Yet, socioeconomically disadvantaged neighborhood residents had fewer fast food and non-fast food restaurants, more convenience stores, and the same number of supermarkets in their neighborhoods than the advantaged residents. In addition to targeting the pervasive fast food restaurant and convenient store retail growth, improving neighborhood restaurant options for disadvantaged residents may reduce food environment disparities.

Examining the role between the residential neighborhood food environment and diet among low-income households in Detroit, Michigan

Neighborhood food environments have long been thought to play an important role in explaining differentials in dietary intake levels among disadvantaged populations. Yet, many studies have neglected whether or not respondents actually utilize their local food environment. This study utilizes household survey data, Geographic Information Systems (GIS) and a negative binomial regression framework to examine the relationship between neighborhood food environments, diet, and shopping behavior among socially and economically marginalized residents living in the lower eastside neighborhoods of Detroit, Michigan. The results provide support for a more nuanced understanding of the role that neighborhood food environments play in shaping consumption. While the number of fast food establishments negatively impacts dietary intake levels regardless of scale and travel patterns, spatial proximity to supermarkets impact wanes as distances increase and shopping behaviors are incorporated. Sociodemographics continue to play a vital role in explaining consumption patterns. Such findings are a direct result of the additional burdens placed on marginalized households to navigate the built-environment in search of affordable, nutritious food staples.

Geographic scale matters in detecting the relationship between neighbourhood food environments and obesity risk: an analysis of driver license records in Salt Lake County, Utah

ObjectivesEmpirical studies of the association between neighbourhood food environments and individual obesity risk have found mixed results. One possible cause of these mixed findings is the variation in neighbourhood geographic...

Influences of the neighbourhood food environment on adiposity of low-income preschool-aged children in Los Angeles County: a longitudinal study

BackgroundFew studies have examined the association between the food environment and adiposity in early childhood, a critical time for obesity prevention. The objective of this study was to examine the...

The influence of the WIC food package changes on the retail food environment in New Orleans.

To examine the effect of the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) food package changes on availability of healthy foods in small stores. Pre-post comparison group design with repeat in-store observations. New Orleans. Small stores (n = 102; 77% of total) were visited in 2009. Of these, 91% were observed again in 2010, including both WIC (n = 27) and non-WIC (n = 66) stores. The 2009 WIC food package changes to include healthier foods. Change in store availability of fruits, vegetables, lower-fat milks, whole wheat bread, and brown rice. Change in number of varieties and shelf length of fruits and vegetables. Difference-in-differences analysis using logit models for change in availability and regression models for change in number of varieties or shelf length. The WIC stores were more likely to improve availability of lower-fat milks than non-WIC stores (adjusted odds ratio, 5.0, 95% confidence interval, 1.2-21.0). An even greater relative improvement was seen with whole grains. The WIC stores showed a relative increase in number of varieties of fresh fruits (0.9 ± 0.3; P < .01) and shelf length of vegetables (1.2 ± 0.4 meters; P < .01). Results suggest that WIC changes improved the availability of healthy foods in small stores in New Orleans. Similar changes throughout the country could have a significant impact on neighborhood food environments.

A Case Study of Middle School Food Policy and Persisting Barriers to Healthful Eating

Decreasing access to competitive foods in schools has produced only modest effects on adolescents’ eating patterns. This qualitative case study investigated persistent barriers to healthful eating among students attending an ethnically diverse middle school in a working-class urban neighborhood that had banned on campus competitive food sales. Participant observations, semi-structured interviews and document reviews were conducted. Unappealing school lunches and easily accessible unhealthful foods, combined with peer and family influences, increased the appeal of unhealthy foods. Areas for further inquiry into strategies to improve urban middle school students’ school and neighborhood food environments are discussed.

Neighborhood Food Environment and Obesity in Community-Dwelling Older Adults: Individual and Neighborhood Effects

We tested hypotheses about the relationship between neighborhood-level food sources and obesity, controlling for individual-level characteristics. Data (collected November 2006-April 2008) derived from a random-digit-dial sample of 5688 community-dwelling adults aged 50 to 74 years residing in 1644 census tracts in New Jersey. Using multilevel structural equation models, we created latent constructs representing density of fast-food establishments and storefronts (convenience stores, bars and pubs, grocery stores) and an observed indicator for supermarkets at the neighborhood level, simultaneously modeling obesity and demographic characteristics (age, gender, race, education, household income) at the individual level. When we controlled for individual-level age, gender, race, education, and household income, densities of fast-food establishments and storefronts were positively associated with obesity. Supermarkets were not associated with obesity. Because people living in neighborhoods with a higher density of fast food and storefronts are more likely to be obese, these neighborhoods may be optimal sites for interventions.

Neighborhood socioeconomic status and food environment: A 20-year longitudinal latent class analysis among CARDIA participants

Neighborhood socioeconomic status and food environment: A 20-year longitudinal latent class analysis among CARDIA participants

Spatial pattern of body mass index among adults in the diabetes study of Northern California (DISTANCE).

BackgroundThe role that environmental factors, such as neighborhood socioeconomics, food, and physical environment, play in the risk of obesity and chronic diseases is not well quantified. Understanding how spatial distribution of disease risk factors overlap with that of environmental (contextual) characteristics may inform health interventions and policies aimed at reducing the environment risk factors. We evaluated the extent to which spatial clustering of extreme body mass index (BMI) values among a large sample of adults with diabetes was explained by individual characteristics and contextual factors.MethodsWe quantified spatial clustering of BMI among 15,854 adults with diabetes from the Diabetes Study of Northern California (DISTANCE) cohort using the Global and Local Moran’s I spatial statistic. As a null model, we assessed the amount of clustering when BMI values were randomly assigned. To evaluate predictors of spatial clustering, we estimated two linear models to estimate BMI residuals. First we included individual factors (demographic and socioeconomic characteristics). Then we added contextual factors (neighborhood deprivation, food environment) that may be associated with BMI. We assessed the amount of clustering that remained using BMI residuals.ResultsGlobal Moran’s I indicated significant clustering of extreme BMI values; however, after accounting for individual socioeconomic and demographic characteristics, there was no longer significant clustering. Twelve percent of the sample clustered in extreme high or low BMI clusters, whereas, only 2.67% of the sample was clustered when BMI values were randomly assigned. After accounting for individual characteristics, we found clustering of 3.8% while accounting for neighborhood characteristics resulted in 6.0% clustering of BMI. After additional adjustment of neighborhood characteristics, clustering was reduced to 3.4%, effectively accounting for spatial clustering of BMI.ConclusionsWe found substantial clustering of extreme high and low BMI values in Northern California among adults with diabetes. Individual characteristics explained somewhat more of clustering of the BMI values than did neighborhood characteristics. These findings, although cross-sectional, may suggest that selection into neighborhoods as the primary explanation of why individuals with extreme BMI values live close to one another. Further studies are needed to assess causes of extreme BMI clustering, and to identify any community level role to influence behavior change.Electronic supplementary materialThe online version of this article (doi:10.1186/1476-072X-13-48) contains supplementary material, which is available to authorized users.

Youth dietary intake and weight status: Healthful neighborhood food environments enhance the protective role of supportive family home environments

The aim of this study is to investigate individual and joint associations of the home environment and the neighborhood built environment with adolescent dietary patterns and body mass index (BMI) z-score. Racially/ethnically and socioeconomically diverse adolescents (n=2682; 53.2% girls; mean age14.4 years) participating in the EAT 2010 (Eating and Activity in Teens) study completed height and weight measurements and surveys in Minnesota middle and high schools. Neighborhood variables were measured using Geographic Information Systems data. Multiple regressions of BMI z-score, fruit and vegetable intake, and fast food consumption were fit including home and neighborhood environmental variables as predictors and also including their interactions to test for effect modification. Supportive family environments (i.e., higher family functioning, frequent family meals, and parent modeling of healthful eating) were associated with higher adolescent fruit and vegetable intake, lower fast food consumption, and lower BMI z-score. Associations between the built environment and adolescent outcomes were fewer. Interaction results, although not all consistent, indicated that the relationship between a supportive family environment and adolescent fruit and vegetable intake and BMI was enhanced when the neighborhood was supportive of healthful behavior. Public health interventions that simultaneously improve both the home environment and the neighborhood environment of adolescents may have a greater impact on adolescent obesity prevention than interventions that address one of these environments alone.

Construct Validation of 4 Food-Environment Assessment Methods: Adapting a Multitrait-Multimethod Matrix Approach for Environmental Measures

Few studies have assessed the construct validity of measures of neighborhood food environment, which remains a major challenge in accurately assessing food access. In this study, we adapted a psychometric tool to examine the construct validity of 4 such measures for 3 constructs. We used 4 food-environment measures to collect objective data from 422 Ontario, Canada, food stores in 2010. Residents' perceptions of their neighborhood food environment were collected from 2,397 households between 2009 and 2010. Objective and perceptual data were aggregated within buffer zones around respondents' homes (at 250 m, 500 m, 1,000 m, and 1,500 m). We constructed multitrait-multimethod matrices for each scale to examine construct validity for the constructs of food availability, food quality, and food affordability. Convergent validity between objective measures decreased with increasing geographic scale. Convergent validity between objective and subjective measures increased with increasing geographic scale. High discriminant validity coefficients existed between food availability and food quality, indicating that these two constructs may not be distinct in this setting. We conclude that the construct validity of food environment measures varies over geographic scales, which has implications for research, policy, and practice.

The proportion of excessive fast-food consumption attributable to the neighbourhood food environment among youth living within 1 km of their school

The study objective was to estimate the proportion of excessive fast-food consumption by youth that is attributable to living and attending school in a neighbourhood with a moderate or high density of fast-food restaurants. This was a cross-sectional study of 6099 Canadian youths (aged 11-15 years) from 255 school neighbourhoods. All participants lived within 1 km of their school. The density of chain fast-food restaurants within a 1-km circular buffer surrounding each school was determined using geographic information systems. Excessive fast-food consumption (≥2 times per week) was assessed by questionnaire. Multilevel logistic regression analysis was used to examine associations. The population attributable risk estimates of excessive fast-food consumption due to neighbourhood exposure to fast-food restaurants were determined based on the prevalence of exposure and the results from the logistic regression. Eight percent of participants were excessive fast-food consumers. After adjusting for sociodemographic factors (i.e., gender, race, and socioeconomic status), it was found that youths from neighbourhoods with a moderate (odds ratio (OR), 1.68; 95% confidence interval (CI), 1.11-2.54) or high (OR 1.70; 95% CI 1.12-2.56) density of chain fast-food restaurants were more likely to be excessive fast-food consumers than were youths from neighbourhoods with no chain fast-food restaurants. Approximately 31% of excessive consumption was attributable to living in neighbourhoods with a moderate or high density of fast-food restaurants. Thus, the fast-food retail environment within which youth live and go to school is an important contributor to their eating behaviours.

PP61 Neighbourhoods and Ethnic Differences in Biological ‘Wear and Tear’

BackgroundWe recently showed that ethnic minorities tend to live in deprived neighbourhoods with a high density of fast food outlets and less green space. We examine whether these neighbourhood characteristics...

Obesity and the Food Environment: Income and Ethnicity Differences Among People With Diabetes

OBJECTIVEIt is unknown whether any association between neighborhood food environment and obesity varies according to individual income and/or race/ethnicity. The objectives of this study were to test whether there was an association between food environments and obesity among adults with diabetes and whether this relationship differed according to individual income or race/ethnicity.RESEARCH DESIGN AND METHODSSubjects (n = 16,057) were participants in the Diabetes Study of Northern California survey. Kernel density estimation was used to create a food environment score for each individual’s residence address that reflected the mix of healthful and unhealthful food vendors nearby. Logistic regression models estimated the association between the modeled food environment and obesity, controlling for confounders, and testing for interactions between food environment and race/ethnicity and income.RESULTSThe authors found that more healthful food environments were associated with lower obesity in the highest income groups (incomes 301–600% and >600% of U.S. poverty line) among whites, Latinos, and Asians. The association was negative, but smaller and not statistically significant, among high-income blacks. On the contrary, a more healthful food environment was associated with higher obesity among participants in the lowest-income group (<100% poverty threshold), which was statistically significant for black participants in this income category.CONCLUSIONSThese findings suggest that the availability of healthful food environments may have different health implications when financial resources are severely constrained.