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dc.contributor.authorDrewnowski, Adam
dc.contributor.authorKawachi, Ichiro
dc.date.accessioned2019-08-29T04:44:53Z
dc.date.issued2015
dc.identifier.citationDrewnowski, Adam, and Ichiro Kawachi. 2015. “Diets and Health: How Food Decisions Are Shaped by Biology, Economics, Geography, and Social Interactions.” Big Data 3 (3): 193–97. https://doi.org/10.1089/big.2015.0014.
dc.identifier.issn2167-6461
dc.identifier.issn2167-647X
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:41275535*
dc.description.abstractHealth is shaped by both personal choices and features of the food environment. Food-choice decisions depend on complex interactions between biology and behavior, and are further modulated by the built environment and community structure. That lower-income families have lower-quality diets is well established. Yet, diet quality also varies across small geographic neighborhoods and can be influenced by transportation, retail, and ease of access to healthy foods, as well as by attitudes, beliefs, and social interactions. The learnings from the Seattle Obesity Study (SOS II) can be usefully applied to the much larger, more complex, and far more socially and ethnically diverse urban environment of New York City. The Kavli HUMAN Project (KHP) is ideally positioned to advance the understanding of health disparities by exploring the multiple underpinnings of food decision making. By combining geo-localized food shopping and consumption data with health behaviors, diet quality measures, and biomarkers, also coded by geographic location, the KHP will create the first-of-its-kind bio-behavioral, economic, and cultural atlas of diet quality and health for New York City.
dc.language.isoen_US
dc.publisher
dash.licenseMETA_ONLY
dc.titleDiets and Health: How Food Decisions Are Shaped by Biology, Economics, Geography, and Social Interactions
dc.typeJournal Article
dc.description.versionVersion of Record
dc.relation.journalBig Data
dash.depositing.authorKawachi, Ichiro::3b17e788dad605ac69e3dd457b6c41ac::600
dc.date.available2019-08-29T04:44:53Z
dash.workflow.comments1Science Serial ID 14239
dc.identifier.doi10.1089/big.2015.0014
dash.source.volume3;3


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