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Factors Influencing Depression in low-income Elderly living at home based on ICF model

ICF 모델에 근거한 저소득 재가노인의 우울에 영향을 미치는 요인에 대한 연구

  • Received : 2014.07.21
  • Accepted : 2014.08.29
  • Published : 2014.08.31

Abstract

Purpose: This study was conducted in order to identify factors that influence depression for low-income elderly who live at home from the International Classification of Functioning model (ICF). Methods: The subjects were 205 elderly people living at home in two public health centers located in metropolitan cities. Subjects were divided according to their depression scores, which were measured using the GDS-short form, including normal, risk, and depression groups. Each variable was consistent with factors of the ICF model, including health condition, individual factors, environmental factors, body function, activities, and participation. Data were collected using structured questionnaires. ANOVA, $x^2$, Pearson's correlation coefficient, and Multinomial logistic regression with IBM SPSS 21.0 were used for analysis of the data. Results: Statistically significant differences were observed among normal, risk, and depression groups regarding personal factors. Gender, education level, numbers of diseases, perceived health, life satisfaction, and social support were identified as the variables that had a significant impact on depression of low-income elderly living at home. Conclusion: Results of this study indicate that there is a need for construction and implementation of strategies that strengthen life satisfaction and social support in order to lower depression of low-income elderly.

Keywords

References

  1. Abe, Y., Fujise, N., Fukunaga, R., Nkagawa, Y., & Ikeda, M. (2012). Comparisons of the prevalence of and risk factors for elderly depression between urban and rural populations in Japan. International Psychogeriatirics, 24(8), http://dx.doi.org/1235-1241.10.1017/S1041610212000099
  2. Cho, H., & Park, C. H. (1997). A study on the physical function, cognitive performance and the depression of the elderly persons. Journal of Korea Community Health Nursing Academic Society, 11(1), 118-127.
  3. Chung, K. H., Oh, Y. H., Lee, Y. K., Park, B. M., Lee, S. Y., Lee, J. H., Kwon, J. D., Kim, S. B., Lee, S. J., Lee, Y. S., Lee, Y. H., Choi, S. J., & Kim, S. Y. (2012). 2011 Senior Survey. Seoul: Ministry of Health & Welfare.Korea Institute for Health and Social Affairs.
  4. Femia, E. E., Zarit, S. H., & Johansson, B. (2001). The disablement process in very late life: a study of the oldest old in Sweden. Journals of Gerontology, 56B(19), 12-23.
  5. Hong, Y. S. (1998). A structural model for health-seeking behavior in midlife women. Korean Academic Society of Occupational Health Nursing, 7(2), 121-129.
  6. Huang, C. Q., Zhang, X. M., Dong, B. R., Lu, Z. C., Yue, J. R., & Liu, Q. Z. (2009). Health status and risk for depression among the elderly: a meta-alaysis of published literature. Age and Ageing, 39, 23-30. doi:10.1093/ageing/afp187
  7. Jung, Y. M. (2007). Health status and associated factors of depression according to depression in elderly women. Journal of the Korean Gerontological Society, 27(1), 71-86.
  8. Kang, H. W., & Park, K. M. (2012). Comparison of correlates of depression in late-life between urban and rural area. Journal of the Korean Gerontological Society, 32(1), 129-143.
  9. Kang, S. O. (2011). A study on the variables related to depression of the low-income elderly people. Unpublished master's thesis, The Graduate School of Seoul Christian University, Seoul.
  10. Kee, B. S. (1996). A preliminary study for the standardization of geriatric depression scale short form-Korea version. Journal of Korean Neuropsychiatric Association, 35(2), 298-30.
  11. Kim, C. G., & Park, S. M. (2012). Gender difference in risk factors for depression in community-dwelling elders. Journal of Korean Academy of Nursing, 42(1), 136-147. http://dx.doi.org/10.4040/jkan.2012.42.1.136
  12. Kim, H. S., & Kim, B. S. (2007). A path analysis on suicidal ideation in the elderly. The Korean Journal of Counseling and Psychotherapy, 19(3), 801-818.
  13. Kim, M. H., Lee, G. Y., & Chung, S. D. (2000). A path analysis on depression among the elderly. Journal of the Korea Gerontological Society, 20(3), 211-226.
  14. Kim, S. E. (2012). The predictive model of depression in rural elderly. Unpublished dissertation, Graduate school of Yonsei University, Seoul.
  15. Kim, Y. S., Yoo, M. S., & Park, J. H. (2009). Factors influencing depression in community-dwelling elderly with low income. Journal of the Korean Gerontological Society, 29(4), 1313-1325.
  16. Lee, C. E. (1999). A study on the relationship between perception of sex life and life satisfaction in elderly. Unpublished mater's thesis, Hanyang University, Seoul.
  17. Lee, G. J., & Ma, R. W. (2013). A study on the perceived health status among the elderly in local communities. Journal of the Korean Gerontological Society, 33(4), 881-893.
  18. Lee, I. S., & Kim, S. W. (2005). A study on factors influencing depression of medical recipients: Focus on social support. Journal of Welfare for the Aged, 29, 285-308.
  19. Lue, B. H., Chen, L. J., & Wu, S. C. (2010). Health, financial stresses, and life satisfaction affecting late-life depression among older adults: a nationwide, longitudinal survey in Taiwan. Archives of Gerontology and Geriatrics, 50 Suppl.(1), S34-S38. https://doi.org/10.1016/S0167-4943(10)70010-8
  20. Ministry of Health & Welfare (2004). International classification of functioning, disability and health. WHO, Ministry of Health & Welfare.
  21. Neugarten, B. L., Harvighust, R. T., & Tobin, S. S. (1961). The measurement of life satisfaction. Journal of Gerontology, 16, 134-143. https://doi.org/10.1093/geronj/16.2.134
  22. Park, Y. O., & Hong, G. R. (2013). Predictors of depression in community dwelling older adults. Journal of Korean Gerontological Nursing, 15(2), 155-164.
  23. Seo, S. Y. (2010). Life satisfaction, activities of daily living, depression and health behavior of low income elderly living at home. Journal of Muscle Joint Health, 17(2), 162-172. https://doi.org/10.5953/JMJH.2010.17.2.162
  24. Seoul National University College of Medicine (2012). The epidemiological survey of mental disorders in Korea 2011. Seoul Ministry of Health and Welfare.
  25. Sohn, J. N. (2013). Factors influencing depressive symptoms in community dwelling older people. Journal of Korean Academy of Psychiatric Mental Health Nursing, 22(2), 107-116. http://dx.doi.org/10.12934.jkpmhn. 2013.22.2.107 https://doi.org/10.12934/jkpmhn.2013.22.2.107
  26. Song, M. S. (1993). Effects of the sensory impairment on functioning levels of the elderly. Journal of Korean Academy of Nursing, 23(4), 678-693.
  27. Statistics Korea (2013). 2013 Elderly Statistics.
  28. The Organisation for Economic Co-operation and Development (2013). Pension at a glance 2013. Retrieved at July 1, from www.oecd.org/pensions/pensionsaataglance.htm
  29. Yang, S. A. (2012). Factors influencing depression of elderly women in a metropolitan city. Journal of Korean Public Health Nursing, 26(1), 158-173. http://dx.doi.org/10.5932/JKPHN.2012.26.1.158
  30. Yee, N. H. (2014). Analysis of determinants on depression changes of the elderly population. Unpublished doctoral dissertation, Graduate School of Hanyang University, Seoul.

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