Very low food security in U.S. households is predicted by complex patterns of health, economics, and service participation

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dc.contributor.authorSeul Ki Choi
dc.contributor.authorMaryah S Fram
dc.contributor.authorEdward A Frongillo
dc.date.accessioned2019-07-31T08:22:01Z
dc.date.available2019-07-31T08:22:01Z
dc.date.issued2017-10-30
dc.identifier.issn0022-3166
dc.identifier.urihttp://repository.kihasa.re.kr/handle/201002/32947
dc.description.abstractBackground: Very low food security (VLFS) happens at the intersection of nuanced and complex patterns of risk characteristics across multiple domains. Little is known about the idiosyncratic situations that lead households to experience VLFS. Objective: We used classification and regression tree (CART) analysis, which can handle complex combinations of predictors, to identify patterns of characteristics that distinguish VLFS households in the United States from other households. Methods: Data came from 3 surveys, the 2011–2014 National Health Interview Survey (NHIS), the 2005–2012 NHANES, and the 2002–2012 Current Population Survey (CPS), with sample participants aged ≥18 y and households with income <300% of the federal poverty line. Survey participants were stratified into households with children, adult-only households, and older-adult households (NHIS, CPS) or individuals aged 18–64 y and individuals aged ≥65 y (NHANES). Household food security was measured with the use of the 10-item US Adult Food Security Scale. Variables from multiple domains, including sociodemographic characteristics, health, health care, and participation in social welfare and food assistance programs, were considered as predictors. The 3 data sources were analyzed separately with the use of CART analysis. Results: Household experiences of VLFS were associated with different predictors for different types of households and often occurred at the intersection of multiple characteristics spanning unmet medical needs, poor health, disability, limitation, depressive symptoms, low income, and food assistance program participation. These predictors built complex trees with various combinations in different types of households. Conclusions: This study showed that multiple characteristics across multiple domains distinguished VLFS households. Flexible and nonlinear methods focusing on a wide range of risk characteristics should be used to identify VLFS households and to inform policies and programs that can address VLFS households’ various needs.
dc.format.extent9
dc.languageeng
dc.publisherOxford University Press
dc.titleVery low food security in U.S. households is predicted by complex patterns of health, economics, and service participation
dc.typeArticle
dc.type.localArticle(Academic)
dc.subject.keywordvery low food security
dc.subject.keywordhousehold composition
dc.subject.keywordclassification and regression tree
dc.subject.keyworddecision tree
dc.subject.keywordmedical needs
dc.subject.keywordfood assistance program
dc.contributor.affiliatedAuthorSeul Ki Choi
dc.identifier.localIdKIHASA-2799
dc.citation.titleJournal of Nutrition
dc.citation.volume147
dc.citation.number10
dc.citation.date2017
dc.citation.startPage1992
dc.citation.endPage2000
dc.identifier.bibliographicCitationJournal of Nutrition, vol. 147, no. 10, pp. 1992 - 2000
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