Gender Difference in Risk Factors for Depression in Community-dwelling Elders.
10.4040/jkan.2012.42.1.136
- Author:
Chul Gyu KIM
1
;
Seungmi PARK
Author Information
1. Department of Nursing, Cheongju University, Cheongju, Korea.
- Publication Type:Original Article ; English Abstract
- Keywords:
Depression;
Aged;
Emotional stress;
Social support
- MeSH:
Aged;
Aged, 80 and over;
Cross-Sectional Studies;
*Depression;
Family Relations;
Female;
Health Status;
Humans;
Hypertension/pathology;
Interviews as Topic;
Loneliness;
Male;
Questionnaires;
Residence Characteristics;
Risk Factors;
Sex Factors;
Sleep;
Social Support;
Stress, Psychological
- From:Journal of Korean Academy of Nursing
2012;42(1):136-147
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
PURPOSE: This study was conducted to compare the degree of depression between men and women and to identify factors influencing their depression. METHODS: Participants in this cross-sectional descriptive study were 263 persons over 65 years old (men: 103, women: 160). Data were collected through face to face interviews using questionnaires and were done in two urban areas in 2010. Research instruments utilized in this study were SGDS, MMSE-K, SRH, FILE, sleep pattern scale, family and friend support scale, and social support scale. Multivariate regression analysis was performed to identify factors influencing depression in elders. RESULTS: The proportions of participants with depression were significantly different between men and women (52.4% vs. 67.5%). Regression model for depression in elderly men significantly accounted for 54%; disease stress (32%), economic stress (10%), perceived health status (4%), and family support, educational level, age, and hypertension. Regression model for depression in elderly women significantly accounted for 47%; disease stress (25%), perceived social loneliness (8%), friend support (5%), family stress (4%), and sleep satisfaction, and family support. CONCLUSION: Results demonstrate that depression is an important health problem for elders, and show gender differences for factors influencing depression. These results could be used in the developing depression prevention programs.
