Mental Health Affecting Factors of the Elderly using Big Data

Abstract

This study was prepared based on data from the 7th National Health and Nutrition Examination Survey, 2018. The demographic characteristics, health behavior, and economic status of 1,653 elderly males and females over 65 years of age were investigated according to stress, depression, and suicide plans. The degree of stress recognition was analyzed to have a significant effect on age and subjective health status in both males and females. The age, subjective health status, and absence of breakfast showed statistically significant differences in the degree of stress recognition among the elderly males. The age, educational background, household income, subjective health status, economic activity, and physical activity showed statistically significant differences in the level of stress recognition among the elderly females. The degree of depression of the male elderly showed statistically significant differences in subjective health status, sleep, physical activity, alcohol consumption, smoking, economic activity, working type, and working hours. The degree of depression of elderly females showed statistically significant differences in subjective health status, physical activity, alcohol consumption, smoking, economic activity, working type, and working hours. The degree of suicide planning of elderly males showed statistically significant differences in educational background and employment type. The degree of suicide planning of elderly females showed statistically significant differences in household income, subjective health status, physical activity, and economic activity. Because of analyzing the relationship between depression and suicide in four groups according to the level of stress recognition, the results of depression and suicide planning showed statistically significant results.