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KMID : 0858820110280010103
Journal of Korean Society for Health Education and Promotion
2011 Volume.28 No. 1 p.103 ~ p.113
The Impact of Social Support on Stress among Residents in a Rural Area
Choi Jung-Kyu

Kim Yun-A
Kim So-Hee
Kim Sung-Han
Park Jong-Ku
Koh Sang-Baek
Kim Chun-Bae
Abstract
Objective: This study was conducted to investigate the relationship between the degree of stress and social support among residents in a rural area.

Methods: We used the baseline data of the Korean Genomic Rural Cohort (KGRC), a sub-cohort of the Korean Genome Epidemiology Study (KOGES) that collected data about relationships among environmental, genetic risk factors, and chronic illness in Korean adults since November 2005. The cases chosen for the study included 1737 men and women, aged 40 to 70, living in a rural area of Wonju-city, South Korea. A questionnaire interviewing method was addressed in 2006. The final participants consisted of 1349 participants, of which 589 were male (43.7%) and 760 were female (56.3%). We applied the hierarchical multiple regression analysis with three stages. The first and second stages include socio-demographic and health-related behaviour factors and the third stage includes more social support factors.
Results: The main findings revealed that the amount of social support and health-related behaviour significantly influenced the level of stress the subjects reported. The degree of stress was shown to be significantly higher for the following individuals: females, those who were divorced, the bereaved, participants who suffer from chronic disease, and non-exercisers. Low social support was shown to be negatively associated with stress.

Conclusion: Social support factors along with socio-demographic and health-related behavior had an influence on stress levels in Korean rural adults. It is necessary to relieve residents from stress through diverse social support programs and healthy living initiatives.
KEYWORD
Social support, Stress, Health related behavior, Rural health, Hierarchical multiple regression
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