Type | Journal Article - British Journal of Medicine and Medical Research |
Title | Demographic Characteristics and Dietary Pattern of the Elderly in Ondo State, Nigeria |
Author(s) | |
Volume | 3 |
Issue | 4 |
Publication (Day/Month/Year) | 2013 |
Page numbers | 2173-2188 |
URL | http://zenodo.org/record/8036/files/1374403137-Olayiwola342013BJMMR4111.pdf |
Abstract | Objective: To investigate the demographic characteristics and dietary patterns of elderly adults (>60 years) in Ondo State, Nigeria. Methodology: This was a random sampling of 400 elderly individuals (>60 years) living in Ondo State, Nigeria. Data on demographic and non-demographic variable characteristics, including food habits, dietary patterns and food frequency, were collected using an open-ended and structured questionnaire. Results: Most individuals aged 60–69 years were married, with fewer than 25% having primary education and the majority of the remainder having no formal education. Most were employed in farming and their income was low (<200 USD per month). About 80% ate three meals daily, 25% skipped meals, and 39% avoid certain foods and 87% had favorite food which relates significantly with gender (? 2 =7.2; p<0.05) marital status (? 2 =5.7; p<0.05) and health (rate of falling sick). Dietary pattern was significantly associated with body ailments (? 2 =51.9; p<0.05). Certain habits, such as alcohol ingestion, influenced the number of meals (? 2 =10; p<0.05). Memory loss was significantly associated with skipping meals (? 2 =7.2; p<0.05), whereas depression was significantly associated with the number of meals (? 2 =6.2; p<0.05). A logistic regression model found that educational level, occupation and gender were significant independent predictors of Research ArticleBritish Journal of Medicine & Medical Research, 3(4): 2173-2188, 2013 2174 dietary pattern. Conclusion: Most elderly individuals in Ondo State, Nigeria, were of low socioeconomic level and illiterate, with dietary patterns influenced by age, education, occupation and gender. Age correlated inversely with bone mass, body mass index, body fat and body water. |
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