Predicting SNAP Participation in Older Adults: Do Age Categorizations Matter?

Autor:	Scott E. Wilks, Jennifer R. Geiger, Michelle Livermore
Rok vydání:	2014
Předmět:	Gerontology Cohort Household income Secondary data Odds ratio Geriatrics and Gerontology Health and Retirement Study Logistic regression Psychology Socioeconomic status Supplemental Nutrition Assistance Program Education
Zdroj:	Educational Gerontology. 40:932-946
ISSN:	1521-0472 0360-1277
DOI:	10.1080/03601277.2014.912837
Popis:	Prior, Supplemental Nutrition Assistance Program (SNAP) research reveals limited age cohort analyses that may not accurately reflect nuanced age differences in SNAP participation. The purpose of this study was to add depth to older age analysis and SNAP participation via four models of age categorizations. This secondary data analysis used a sample of 10,116 older adults from the 2010 Health and Retirement Study (HRS). Controlling for demographic, socioeconomic, and physical factors, logistic regression tested four age categorization models: Third-Age and Fourth-Age groupings; young-old, middle-old, and oldest old groupings; generic decade cohorts; and continuous age. Hypotheses for each model predicted older age as negative to SNAP participation. Significant predictors of SNAP participation included female gender; non-White, non-Hispanic, and Hispanic ethnicities; lower household income; inadequate food budget; and difficulty in self-dressing. Odds ratios confirmed age as a negative factor to SNAP partic...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5fbfde583260c2ff08ecdd07ba5ccb26 https://doi.org/10.1080/03601277.2014.912837 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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