IDEAS home Printed from https://ideas.repec.org/a/sae/socpsy/v53y2007i2p123-134.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0020764006075022
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0020764006075022?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hongliang Wang & Yiwen Yu, 2016. "Increasing health inequality in China: An empirical study with ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 41-61, March.
    2. Shen, Ke & Zeng, Yi, 2014. "Direct and indirect effects of childhood conditions on survival and health among male and female elderly in China," Social Science & Medicine, Elsevier, vol. 119(C), pages 207-214.
    3. Hu, Shu & Das, Dhiman, 2019. "Quality of life among older adults in China and India: Does productive engagement help?," Social Science & Medicine, Elsevier, vol. 229(C), pages 144-153.
    4. Kathryn Anderson & James Foster & David Frisvold, 2004. "Investing in Health: The Long-Term Impact of Head Start," Vanderbilt University Department of Economics Working Papers 0426, Vanderbilt University Department of Economics.
    5. Xi Pan & Rose Ward, 2015. "Self-management and Self-rated Health Among Middle-aged and Older Adults with Type 2 Diabetes in China: A Structural Equation Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(1), pages 247-260, January.
    6. Timothy Halliday, 2006. "The Impact of Aggregate and Idiosyncratic Income Shocks on Health Outcomes: Evidence from the PSID," Working Papers 200606, University of Hawaii at Manoa, Department of Economics.
    7. Zhang, Wei & Ta, Van M., 2009. "Social connections, immigration-related factors, and self-rated physical and mental health among Asian Americans," Social Science & Medicine, Elsevier, vol. 68(12), pages 2104-2112, June.
    8. Chunshan Zhou & Jing Chen & Shaojian Wang, 2018. "Does Migrant Status and Household Registration Matter? Examining the Effects of City Size on Self-Rated Health," Sustainability, MDPI, vol. 10(7), pages 1-15, June.
    9. García-Muñoz, Teresa & Neuman, Shoshana & Neuman, Tzahi, 2014. "Health Risk Factors among the Older European Populations: Personal and Country Effects," IZA Discussion Papers 8529, Institute of Labor Economics (IZA).
    10. Gudrun Biffl & Joseph E. Isaac, 2007. "The Challenge of Ensuring a Healthy Workforce in an Ageing Society. Austria and Australia in Comparison," Austrian Economic Quarterly, WIFO, vol. 12(3), pages 144-157, September.
    11. Jiangping Li & Lijun Dong & Danian Tian & Yu Zhao & Huifang Yang & Xiaoyu Zhi & Lingqin Zhu, 2018. "Association between pesticide exposure intensity and self-rated health among greenhouse vegetable farmers in Ningxia, China," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-12, December.
    12. Xuanping Zhang & Sean-Shong Hwang, 2007. "The micro consequences of macro-level social transition: how did Russians survive in the 1990s?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(2), pages 337-360, June.
    13. Ljunge, Martin, 2016. "Migrants, health, and happiness: Evidence that health assessments travel with migrants and predict well-being," Economics & Human Biology, Elsevier, vol. 22(C), pages 35-46.
    14. Lixin Cai & Guyonne Kalb, 2004. "Health Status and Labour Force Participation: Evidence from the HILDA Data," Melbourne Institute Working Paper Series wp2004n04, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    15. Mishra, Sandeep & Carleton, R. Nicholas, 2015. "Subjective relative deprivation is associated with poorer physical and mental health," Social Science & Medicine, Elsevier, vol. 147(C), pages 144-149.
    16. Timothy Halliday, 2006. "Income Risk and Health," Working Papers 200612, University of Hawaii at Manoa, Department of Economics.
    17. Leger, Kate A. & Charles, Susan T. & Ayanian, John Z. & Almeida, David M., 2015. "The association of daily physical symptoms with future health," Social Science & Medicine, Elsevier, vol. 143(C), pages 241-248.
    18. Ivan Cipin & Sime Smolic, 2013. "Socio-Economic Determinants of Health in Croatia: Insights from Four Cross-Sectional Surveys," Croatian Economic Survey, The Institute of Economics, Zagreb, vol. 15(1), pages 25-60, April.
    19. repec:zbw:rwirep:0008 is not listed on IDEAS
    20. Sabatini, Fabio, 2014. "The relationship between happiness and health: Evidence from Italy," Social Science & Medicine, Elsevier, vol. 114(C), pages 178-187.
    21. Shirmin Bintay Kader & Md Sabbir Ahmed & Kristen Desjarlais-deKlerk & Xavier Leloup & Laurence Simard & Catherine Leviten-Reid & Nazeem Muhajarine, 2024. "Rental Housing Type and Self-Reported General Health and Mental Health Status: Evidence from the Canadian Housing Survey 2018–2019," IJERPH, MDPI, vol. 21(9), pages 1-19, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:socpsy:v:53:y:2007:i:2:p:123-134. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.