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Prevalence Of Depression And Correlates Of Depressive Symptoms For Residents In The Urban Part Of Jeju Island, Korea

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  • Moon-Doo Kim

    (Department of Psychiatry, College of Medicine, Cheju National University, #1 Ara-1 dong Jeju, jeju-do, Korea 690-756; mdkim66@cheju.ac.kr)

  • Seong-Chul Hong

    (Department of Preventive Medicine, College of Medicine, Cheju National University, Jeju, Korea)

  • Chang-In Lee
  • Young-Sook Kwak

    (Department of Psychiatry, College of Medicine, Cheju National University, Jeju, Korea)

  • Tae-Kyun Shin

    (Department of Veterinary Medicine, College of Agriculture and Life Sciences, Cheju National University, Jeju, Korea)

  • Yun-Hee Jang
  • Eun-Hee Oh
  • Ji-Woong Lee
  • Bong-Hee Jeon
  • Seo-Eun Hwang

    (Department of Psychiatry, College of Medicine, Cheju National University, Jeju, Korea)

Abstract

Aims : This study examined the prevalence of depression and depressive symptoms, and the correlates of depressive symptoms, and proposes some methods for reducing risk of depression in residents of the urban part of Jeju Island in Korea. Methods : In all, 1050 residents were selected using multiphasic cluster sampling to represent each district. Of the 981 respondents, 413 were men and 568 were women. The Center for Epidemiologic Studies Depression Scale (CES-D) was used to evaluate depression (CES-D score over 25) and depressive symptoms (CES-D score over 21). Multiple logistic regression analysis was performed for comparisons. Results : The prevalence of depression in males and females was comparable, at 9.47 and 11.36%, respectively. The prevalence of depressive symptoms in men was 15.01%, while in women the level rose to 18.37%. Those with high self-assessed level of stress scores were significantly more likely to have depressive symptoms than those with low self-assessed level of stress scores (odds ratio (OR) = 5.73 (95% confidence interval (95%CI), 1.29–25.36)). Residents at high risk of problem drinking (CAGE score over 3) were significantly more likely to have depressive symptoms than those with a CAGE score under 1 (OR = 3.43 95%CI, 1.77–6.66). Respondents who slept poorly had more depressive symptoms than respondents who slept well (OR = 2.11 95%CI, 1.37–3.23). Females were significantly more likely to have more depressive symptoms than males (OR = 1.70 95%CI, 1.08–2.68). Conclusions : The prevalence of depression and depressive symptoms in urban Jeju Island is similar to that in a nation-wide sample. By providing intensive mental health services to those who have high stress levels, problem drinking, and poor health behavior, early detection of depressive symptoms in the community will be important for improving general health status.

Suggested Citation

  • Moon-Doo Kim & Seong-Chul Hong & Chang-In Lee & Young-Sook Kwak & Tae-Kyun Shin & Yun-Hee Jang & Eun-Hee Oh & Ji-Woong Lee & Bong-Hee Jeon & Seo-Eun Hwang, 2007. "Prevalence Of Depression And Correlates Of Depressive Symptoms For Residents In The Urban Part Of Jeju Island, Korea," International Journal of Social Psychiatry, , vol. 53(2), pages 123-134, March.
    • Handle: RePEc:sae:socpsy:v:53:y:2007:i:2:p:123-134
    DOI: 10.1177/0020764006075022
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    References listed on IDEAS

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    1. Mossey, J.M. & Shapiro, E., 1982. "Self-rated health: a predictor of mortality among the elderly," American Journal of Public Health, American Public Health Association, vol. 72(8), pages 800-808.
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