Fruit and Vegetable Intake in African Americans

Zenk, Shannon N.; Schulz, Amy J.; Hollis-Neely, Teretha; Campbell, Richard T.; Holmes, Nellie; Watkins, Gloria; Nwankwo, Robin; Odoms-Young, Angela

doi:10.1016/j.amepre.2005.03.002

Cited by 323 publications

(245 citation statements)

References 52 publications

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“…Compared with respondents who were not satisfied, those who agreed that the places they purchased fruits and vegetables provided quality, selection and convenience were more than two times as likely to eat three or more servings of fruits and vegetables daily, while those who strongly agreed with these statements were more than four times more likely to eat three or more servings daily. These findings confirm those reported by Zenk and colleagues (23) . Their study, also conducted among an inner-city low-income population, found that perceived quality and selection influenced dietary intake of fruits and vegetables independent of perceived cost.…”

Section: Discussionsupporting

confidence: 93%

“…Despite these limitations, our study extends the growing body of literature that highlights the importance of personal, subjective assessments of the food shopping environment (19,23,24,29) . Our analysis examines the role that perceptions of the quality, selection and convenience may play in promoting increased consumption of fruits and vegetables.…”

Section: Discussionmentioning

confidence: 59%

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Perceptions of the food shopping environment are associated with greater consumption of fruits and vegetables

Blitstein

Snider

Evans

2012

Public Health Nutr.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 59%

Perceptions of the food shopping environment are associated with greater consumption of fruits and vegetables

Blitstein

Snider

Evans

2012

Public Health Nutr.

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“…Our study did not find an association for those who live in areas with a high density of supermarkets perceiving their neighbourhood to have many healthy items. This is not consistent with other studies and a bit surprising (39,42) . However, this result may reflect variation in the quality of healthy food items available for purchase in rural supermarkets relative to urban supermarkets, where most of the studies have taken place.…”

Section: Discussioncontrasting

confidence: 93%

Perceived and objective measures of the food store environment and the association with weight and diet among low-income women in North Carolina

Gustafson

Sharkey

Samuel‐Hodge

et al. 2011

Public Health Nutr.

125

117

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Objective: The present study aimed to highlight the similarities and differences between perceived and objective measures of the food store environment among low-income women and the association with diet and weight. Design: Cross-sectional analysis of food store environment. Store level was characterized by: (i) the availability of healthy foods in stores where participants shop, using food store audits (objective); and (ii) summary scores of self-reported perception of availability of healthy foods in stores (perceived). Neighbourhood level was characterized by: (i) the number and type of food stores within the census tract (objective); and (2) summary scores of self-reported perception of availability of healthy foods (perceived). Setting: Six counties in North Carolina. Subjects: One hundred and eighty-six low-income women. Results: Individuals who lived in census tracts with a convenience store and a supercentre had higher odds of perceiving their neighbourhood high in availability of healthy foods (OR 5 6?87 (95 % CI 2?61, 18?01)) than individuals with no store. Overall, as the number of healthy foods available in the store decreased, the probability of perceiving that store high in availability of healthy foods increased. Individuals with a supercentre in their census tract weighed more (2?40 (95 % CI 0?66, 4?15) kg/m 2 ) than individuals without one. At the same time, those who lived in a census tract with a supercentre and a convenience store consumed fewer servings of fruits and vegetables (21?22 (95 % CI 22?40, 20?04)). Conclusions:The study contributes to a growing body of research aiming to understand how the food store environment is associated with weight and diet.The environment in which a person lives and works can facilitate or impede the accessibility, availability and affordability of healthy food (1) . These latter three variables, in turn, may influence individuals' weight and the quality of their diet (2)(3)(4)(5)(6)(7) . Widespread recognition of the relationship between the built environment, health status and food choices has led to growing interest in measuring aspects of the food store environment (8)(9)(10)(11)(12)(13)(14)(15) . However, few studies have examined both subjective (16,17) and objective measures of the food store environment and their association with weight and diet quality (7,(17)(18)(19)(20)(21)(22) . Perceived and objective measures each provide unique data that, taken together, can elucidate important factors operating at both the individual and the neighbourhood level. Subjective perceptions about food access and availability, for example, may shape individuals' food purchasing habits (23) and frequency of shopping (24) . Objective neighbourhood-level measures, such as in-store food audits or information on store type (collected on-site or from national databases), can supplement perceptual measures, documenting actual food availability in a given locality.

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“…Food stores were identified based on Standard Industrial Classifications in the InfoUSA data. 13 Because supermarket proximity has been related to availability of healthy foods, 14,15 supermarket location was used in 2 measures: distance to supermarkets and density of supermarkets. Supermarket density also included retail fruit and vegetable stores because these stores also may contribute to the availability of healthy foods.…”

Section: Datamentioning

confidence: 99%

Filling the Gaps: Spatial Interpolation of Residential Survey Data in the Estimation of Neighborhood Characteristics

Auchincloss¹,

Roux²,

Brown³

et al. 2007

Epidemiology

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The measurement of area-level attributes remains a major challenge in studies of neighborhood health effects. Even when neighborhood survey data are collected, they necessarily have incomplete spatial coverage. We investigated whether interpolation of neighborhood survey data was aided by information on spatial dependencies and supplementary data. Neighborhood "availability of healthy foods" was measured in a population-based survey of 5186 persons in Baltimore, New York, and Forsyth County (North Carolina). The following supplementary data were compiled from Census 2000 and InfoUSA, Inc.: distance to supermarkets, density of supermarkets and fruit and vegetable stores, housing density, distance to a high-income area, and percent of households that do not own a vehicle. We compared 4 interpolation models (ordinary least squares, residual kriging, spatial error regression, and thin-plate splines) using error statistics and Pearson correlation coefficients (r) from repeated replications of cross-validations. There was positive spatial autocorrelation in neighborhood availability of healthy foods (by site, Moran coefficient range = 0.10-0.28; all P < 0.0001). Prediction performances were generally similar for the evaluated models (r ≈ 0.35 for Baltimore and Forsyth; r ≈ 0.54 for New York). Supplementary data accounted for much of the spatial autocorrelation and, thus, spatial modeling was only advantageous when spatial correlation was at least moderate. A variety of interpolation techniques will likely need to be utilized in order to increase the data available for examining health effects of residential environments. The most appropriate method will vary depending on the construct of interest, availability of relevant supplementary data, and types of observed spatial patterns.Growing evidence supports the concept that residential neighborhoods play a role in determining individual behaviors that are linked to health outcomes. [1][2][3] However, there is a scarcity of relevant data for characterizing neighborhoods that continues to challenge researchers. One option for obtaining information on neighborhoods is to conduct surveys of residents who can provide information about their residential environment. However, survey data necessarily have incomplete spatial coverage. Routinely collected data such as census AHA designed the study, conducted all analyses, and drafted the manuscript. ADR provided survey data used in this study, assisted with planning analyses, and critically edited the manuscript. DGB assisted in designing the study, interpreted findings, and critically reviewed the manuscript. TER assisted with formulating statistical analyses and critically reviewed the manuscript. CAE critically reviewed the manuscript. Geologists and other natural scientists have used geostatistical methods to interpolate when there is incomplete spatial sampling 4-7 and have used supplementary data at colocated sites to try to improve predictions at the unsampled locations. 8,9 While spatial modeling in itself may pre...

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Fruit and Vegetable Intake in African Americans

Cited by 323 publications

References 52 publications

Perceptions of the food shopping environment are associated with greater consumption of fruits and vegetables

Perceptions of the food shopping environment are associated with greater consumption of fruits and vegetables

Perceived and objective measures of the food store environment and the association with weight and diet among low-income women in North Carolina

Filling the Gaps: Spatial Interpolation of Residential Survey Data in the Estimation of Neighborhood Characteristics

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