-
Stress, Depression and Health Risk Behaviors in Korean Elders
-
Ae Jung Kim, Ok Soo Kim, Sung Hee Baik, Jong Hwa Jang, Jung Hee Kim
-
J Korean Acad Community Health Nurs. 2007;18(3):391-399. Published online September 30, 2007
-
-
-
Abstract
PDF
- PURPOSE
The purpose of this study was to investigate stress, depression and health risk behaviors in elderly people. METHODS The subjects were 238 Korean elders who had visited the convalescent center. The level of stress was measured by the Korean version of BEPSI, which was developed by Bae, Jeung & Yoo (1992) and modified by Yim et al.(1996). CES-D was used to measure the level of depression. For health risk behaviors, we measured cigarette consumption and alcohol drinking during the last one month. RESULTS Of the subjects, 17.4% were excessive drinkers and 18.9% were currently smokers. The level of stress was between moderate and high, and 62.7% of the subjects were depressed. There were significant differences in stress and depression according to economic status and self-reported health. In addition, depression had positive correlations with stress and QF score. CONCLUSION Stress and depression management programs for the elderly are needed. These findings indicate that nurses must consider stress and alcohol drinking when they take care of depressed elderly people.
-
A Study on Self-esteem and Social Support, Health-promoting Lifestyle of the Elderly
-
Soon Ok Park, Hoon Jung Paik, Chun Mi Kim, Jin Ha Moon, Soon Young Choi, Jung Sug Kim, Ae Jung Kim
-
J Korean Acad Community Health Nurs. 2003;14(1):144-156. Published online March 31, 2003
-
-
-
Abstract
PDF
- This study was conducted to investigate the relationship between the self-esteem, social support and health promoting lifestyle of the elderly in a community. The sample consisted of 147 elderly, and data were collected from September 1 to October 15, 2001. The instrument of this study was a structured questionnaire including Health Promoting Lifestyle (47 items), Social Support(18 items), Self-Esteem(10 items), Socio-demographic Characteristics. Analysis of the data was done by use of descriptive statistics, ANOVA, Pearson Correlation Coefficient.
The results of this study are as follows: 1. The degrees of self-esteem of the elderly were mean score 25+/-2.98 points ,socio-demographic characteristics containing meaningful difference with self-esteem was not significant.
2. The degrees of social support by elderly were mean score 55.03+/-9.60 points and social support according to the socio-demographic characteristics showed meaning difference in family structure with lower right quadrantoff springupper left quadrant(F=8.50, p=.000), health statuslower right quadrantgoodupper left quadrant(t=2.19, p=.030), smokinglower right quadrantbelow 1 packet dailyupper left quadrant (F=4.88, p=.009).
3. The degrees of health enhancing lifestyle by elderly were mean score 113.61+/-20.12 points and health enhancing lifestyle according to the socio-demographic characteristics showed meaning difference in education level lower right quadrantmiddle school and aboveupper left quadrant(F=6.37 p=.002), occupation before retirement lower right quadrantprofession, technician, employee of company, educationupper left quadrant (F=5.00, p=.003), health statuslower right quadrantgoodupper left quadrant (t=3.14, p=0.002), exerciselower right quadrantweekly 2-3upper left quadrant (F=4.31, p=.006), drinking lower right quadrantweekly 1upper left quadrant (F=2.74, p=.046).
4. The item mean score of personal relationship support field in health enhancing lifestyle were 2.90+/-.60 points, item mean scores of exercise and nutrition were 2.26+/-.39 points, item mean scores of stress managing field were 2.25+/-.49 points, item mean scores of health responsible field were 2.14+/-.61 points.
5. The relationship between self-esteem and health enhancing lifestyle revealed a significant correlation(r=.169, p=.041), but self-esteem and social support, showed no significant correlation, and health enhancing lifestyle and social support, revealed a significant correlation(r=.654, p=.001).
|