Financial Strain Is Associated with Malnutrition Risk in Community-Dwelling Older Women
Author(s) -
Laura Samuel,
Sarah L. Szanton,
Carlos O. Weiss,
Roland J. Thorpe,
Richard D. Semba,
Linda P. Fried
Publication year - 2012
Publication title -
epidemiology research international
Language(s) - English
Resource type - Journals
eISSN - 2090-2972
pISSN - 2090-2980
DOI - 10.1155/2012/696518
Subject(s) - algorithm , malnutrition , mathematics , machine learning , database , medicine , gerontology , finance , artificial intelligence , computer science , economics
This study examined the relationship between financial strain, or difficulty acquiring necessities, and malnutrition risk in a community dwelling sample of frail and nonfrail women aged 70–79 in the Women’s Health and Aging Study (n=679). Malnutrition risk was measured with a modified version of the Mini-Nutritional Assessment Short Form (MNA-SF) and defined as a score <11, financial strain was measured by (1) sufficiency of money on a monthly basis and (2) adequacy of income for food, and income was measured by ordinal categories. Mean (SD) modified MNA-SF score was 12.2 (1.80), and 14.7% of women had malnutrition risk. Women who usually did not have enough money to make ends meet had more than four-fold increased odds of malnutrition risk (OR=4.54; 95% CI: 2.26, 9.14) compared to their counterparts who had some money left over each month. This was only slightly attenuated after control for income and education, (OR=4.08; 95% CI: 1.95, 8.52) remaining robust. These results show an association between financial strain and malnutrition risk, independent of income, in older women. Self-reported financial strain may be preferable to income as a screener for malnutrition risk in older adults in clinical and research settings
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom