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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Associations of the local food environment with diet quality - A comparison of assessments based on surveys and geographic information systems
American journal of epidemiology, v 167(8), pp 917-924
15 Apr 2008
PMID: 18304960
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
There is growing interest in understanding how food environments affect diet, but characterizing the food environment is challenging. The authors investigated the relation between global diet measures (an empirically derived "fats and processed meats" (FPM) dietary pattern and the Alternate Healthy Eating Index (AHEI)) and three complementary measures of the local food environment: 1) supermarket density, 2) participant-reported assessments, and 3) aggregated survey responses of independent informants. Data were derived from the baseline examination (2000-2002) of the Multi-Ethnic Study of Atherosclerosis, a US study of adults aged 45-84 years. A healthy diet was defined as scoring in the top or bottom quintile of AHEI or FPM, respectively. The probability of having a healthy diet was modeled by each environment measure using binomial regression. Participants with no supermarkets near their homes were 25-46% less likely to have a healthy diet than those with the most stores, after adjustment for age, sex, race/ethnicity, and socioeconomic indicators: The relative probability of a healthy diet for the lowest store density category versus the highest was 0.75 (95% confidence interval: 0.59, 0.95) for the AHEI and 0.54 (95% confidence interval: 0.42, 0.70) for FPM. Similarly, participants living in areas with the worst-ranked food environments (by participants or informants) were 22-35% less likely to have a healthy diet than those in the best-ranked food environments. Efforts to improve diet may benefit from combining individual and environmental approaches.
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Details
- Title
- Associations of the local food environment with diet quality - A comparison of assessments based on surveys and geographic information systems
- Creators
- Latetia V. Moore (Corresponding Author) - University of MichiganAna V. Diez Roux - University of MichiganJennifer A. Nettleton - University of MinnesotaDavid R. Jacobs - University of Minnesota
- Publication Details
- American journal of epidemiology, v 167(8), pp 917-924
- Publisher
- Oxford University Press
- Number of pages
- 8
- Grant note
- R01 HL071759; R01-HL071759; N01-HC-95165; N01-HC-95169; N01HC95159; N01HC95165; N01-HC-95159; R01 HL071759-04; N01HC95169 / NHLBI NIH HHS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI) R21HL095165 / NATIONAL HEART, LUNG, AND BLOOD INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI) N01HC095169 / DIVISION OF EPIDEMIOLOGY AND CLINICAL APPLICATIONS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Eye Institute (NEI)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative; Epidemiology and Biostatistics
- Web of Science ID
- WOS:000254874900005
- Scopus ID
- 2-s2.0-42049099245
- Other Identifier
- 991020112269004721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health