Understanding needs is important for assessing the impact of food assistance program participation on nutritional and health status in U.S. elderly persons.
This study aimed to assess the impact of food assistance programs on nutritional and health status of nutritionally needy elderly persons. Two cross-sectional and one longitudinal data sets were used: Third National Health and Nutrition Examination Survey (1988-94), Nutrition Survey of the Elderly in New York State (1994) and Longitudinal Study of Aging (1984-1990). Multiple logistic and linear regression analyses were used to examine whether food assistance participants among food insecure elderly (i.e., those whose needs for food assistance programs are met) have better nutrient intake, skinfold thickness and self-reported health status and less nutritional risk, hospitalization and mortality than nonparticipants (i.e., those whose needs are unmet) and whether the benefit is larger than that among food secure elderly persons. Across three data sets, food insecure elderly persons had poorer nutritional and health status than food secure elderly persons. Contrary to the hypotheses, among food insecure elderly persons, food assistance participants had similar or poorer nutrient intakes, skinfold thickness, nutritional risk, self-reported health status, hospitalization and mortality than nonparticipants. Food secure participants had similar nutritional and health status as food secure nonparticipants. Lack of information on the dynamic nature and changes in needs with program participation in the three data sets likely did not allow accurate estimation of the impact of food assistance participation. Different study designs, as well as theory and knowledge of needs that clarifies need status and its change within each older individual across an appropriate time interval, are necessary to accurately assess impacts of food assistance programs.
Lee
J S
JS
Division of Nutritional Sciences, Cornell University, Ithaca, New York 14853, USA.
Frongillo
E A
EA
D000368:Aged; D000369:Aged, 80 and over; D000375:Aging; D000886:Anthropometry; D003430:Cross-Sectional Studies; D015340:Epidemiologic Research Design; D005260:Female; D005522:Food Services / Q000706:statistics & numerical data*; D006301:Health Services Needs and Demand; D006299:Health Services for the Aged / Q000706:statistics & numerical data*; D006304:Health Status; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D009313:National Health Programs; D015596:Nutrition Assessment; D009749:Nutrition Surveys; D009752:Nutritional Status; D017063:Outcome Assessment, Health Care / Q000706:statistics & numerical data; D015397:Program Evaluation; D012044:Regression Analysis; D014481:United States / Q000453:epidemiology