The Factors Related to Depression of the Elders Who Had Non-Communicable Diseases in Health Promoting Hospital, Satakien, Soeng-sang, Nakhonratchasima Province

Abstract

This research aims to : 1) the level of depression among the elderly are chronic non-communicable diseases on the Service Health Promotion Hospital District 2) study the relationship between personal factors. Physical health and social depression in the elderly are chronic non-communicable diseases on the Service Health Promotion Hospital District 3) study the predictive power of individual factors. Physical health and social depression in the elderly is chronic non-communicable diseases at the health district hospitals. The subjects of this study include the elderly, both male and female 275 people can talk communication. No impaired cognition. And is used in hospitals to promote health. District Swimming Showcase Soeng Sang, Nakhon Ratchasima. The researchers used health assessment of older people and a measure of depression among the elderly of Thailand (Thai Geriatric Depression Scale : TGDS) is a tool used in the research. Check the reliability of the questionnaire using the coefficient alpha of Akron destinations is equal to 0.679 Data were analyzed using descriptive statistics. Pearson's correlation coefficient. And multiple regression analysis The research found that The elderly in the parish pool Showcase is depressed percent, 41.45, no depression, 58.5 percent were depressed, a 29.8 percent depression mediocre 10.5 percent and depression is 1.1 percent of personal factors did not correlate with depression. Sadly the elderly Health factors that are associated with depression were statistically significant at the 0.05 level, including medical and health perception are correlated with depression among the elderly. A correlation coefficient of 0. If there are 198 elderly people with underlying health conditions and perceived levels will suffer depression at a high level as well. Social health factors that are associated with depression were statistically significant at the 0.05 level, including the right to maintain a positive relationship with depression in the elderly. A correlation coefficient of 0.134 shows that if the right treatment is highly problematic to cause depression. The variables that can predict depression. A significant statistical factors, including the financial aspects. Family relationship Medical care and the right, which could predict depression was 35.0 percent, a statistically significant level of 0.05 (= 0.350, p < .05). 134 provides that if the issue is high on the right treatment, it can cause depression. The variables that can predict depression. A significant statistical factors, including the financial aspects. Family relationship Medical care and the right, which could predict depression was 35.0 percent, a statistically significant level of 0.05 (= 0.350, p < .05). 134 provides that if the issue is high on the right treatment, it can cause depression. The variables that can predict depression. A significant statistical factors, including the financial aspects. Family relationship Medical care and the right, which could predict depression was 35.0 percent, a statistically significant level of 0.05 (= 0.350, p < .05).