Sociodemographic Factors Associated with Nutrients Intake of Elderly in Korea.
- Author:
Kyeong Sook YIM
1
;
Tae Young LEE
Author Information
1. Department of Food and Nutrition, The University of Suwon, Suwon, Korea.
- Publication Type:Original Article
- Keywords:
elderly;
nutrient intake;
sociodemographic factor;
nutritional quality
- MeSH:
Aged*;
Body Mass Index;
Child;
Education;
Educational Status;
Female;
Humans;
Korea*;
Male;
Nutrition Surveys;
Nutritional Status;
Nutritive Value;
Overweight;
Spouses;
Surveys and Questionnaires;
Thinness
- From:The Korean Journal of Nutrition
2004;37(3):210-222
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
In recent years, the number and proportion of Korean elderly have grown rapidly, and elderly individuals show a disproportionate risk for poor nutritional status. The purpose of this study was to examine the relationship of sociodemographic background to nutrient intake of persons 65 years of age or older, living in 15 cities in Korea. Data on 1973 subjects (603 males, 1370 females), who participated in the Korean Elderly Nutrition Survey (2000), were analyzed. Their mean age was 72.3 years and their mean body mass index (BMI) was 24.2 kg/m2. Basic sociodemographic data were obtained through personal interviews. The 98-item semi-food frequency questionnaire, developed and previously validated for Korean middle-aged and elderly subjects, was administered. "Percentage of subjects who consumed under 75% Korean RDA", "number of nutrients consumed below 75% Korean RDA," "mean nutrient adequacy ratio," and "nutrient density" were used to determine nutritional status. Male elderly had better nutritional quality than female elderly. Nutritional quality decreased with age, especially in older elderly (over 75). Elderly who were underweight (BMI < 20 kg/m2) showed poorer nutritional quality than those who were normal weight (BMI 20~ 25 kg/m2) and overweight (BMI > or = 25 kg/m2). Elderly who lived alone had significantly poorer nutritional quality than those who lived with a spouse, and/or with children. Lower education level and economic dependence also showed lower nutritional quality. A stepwise multiple regression analysis was performed to examine the effects of specific sociodemographic factors on nutritional quality. For number of nutrients under 75% RDA as a dependent variable, education level explained 4.8% of the variance, followed by living status, age, body mass index, gender, and living expense support (Model R(2) = 0.091). For mean nutrient adequacy ratio as a dependent variable, model R(2) was 0.098. Therefore, sociodemographic variables such as gender, age, body mass index, living status, educational level, and economic status influenced elderly nutrition status. These results indicate that an elderly nutrition intervention should focus on subjects who are poorly educated, living alone, age 75 or older, and/or underweight.
