Geographic conditioning in dietary, social, and health patterns in elderly population with disabilities.

Abstract

The aim of this study was to identify the most relevant variables defining the dietary, social, and health patterns of elderly populations with disabilities, considering their geographic profile. A cross-sectional study was carried out in a sample of 354 disabled, free-living elderly adults from three different geographic profiles (metropolitan, rural, and mixed profile). The dietary data were obtained through a validated food habit questionnaire. The data regarding health status, cohabitation unit, and social benefits were obtained through the public social services. A standardized principal component analysis was used to select the most relevant variables, by considering their contributions to each principal component and their relation with the geographic factor. From 131 variables, we highlighted 27 (57.37% of variability explained). The variables with more contribution are, in order, the calorie intake (especially from lipids), absence of home assistance, and the difference between intake and recommended calories. The procedure was validated by assessing the prediction using a multinomial logistic regression model (88.2% and 66.7% of success rate regarding the metropolitan and rural profiles, respectively). There is a differentiated behavior based on the geographic origin of individuals, specifically regarding caloric intake, number of diseases, and the requirement for home assistance. Older adults living in a metropolitan are tend to have a greater number of diseases as well as a lower caloric intake. The increased rural caloric consumption comes from lipids. Better health status in rural areas is associated with a lower need for home assistance.