DOI QR코드

DOI QR Code

An analysis of depression of the individuals with disabilities using repeated measurement data

반복 측정 자료를 이용한 장애인 우울에 대한 분석

  • Hong, Haesun (Department of Statistics, Duksung Women's University) ;
  • Huh, Jib (Department of Statistics, Duksung Women's University)
  • 홍혜선 (덕성여자대학교 정보통계학과) ;
  • 허집 (덕성여자대학교 정보통계학과)
  • Received : 2017.08.01
  • Accepted : 2017.09.05
  • Published : 2017.09.30

Abstract

Most previous works to study for the depression of the disabilities in Korea have analyzed the repeated measured data of each individual under the mutually independent assumption. In this study, Korea Welfare Panel data of the disabilities surveyed additionally every three years are analyzed to detect the significant exploratory variables by the linear mixed models. A suitable correlation matrix is considered for the dependency of repeated measurement of each individual. The random effect to reflect the characteristics of the individuals as well as the fixed effect is included in the fitted linear mixed model. By the residual plot of the fixed effect model, the problem that the averages of residuals of each individual do not seem to be around zero is described. Further, the residual plot and the Q-Q plot coming from the selected final model are shown that the problem is modified well.

지금까지 연구되어진 한국의 장애인 우울에 미치는 요인들을 찾는 연구들은 조사된 장애인별로 반복 측정된 자료임에도 대부분 그들 자료들이 독립이라는 가정 하에 통계적 분석을 하였다. 본 연구에서는 3년마다 반복 측정된 한국복지패널의 장애인 관련 부가조사 자료를 이용하여 장애인 우울에 미치는 요인들이 무엇인지를 반복 측정의 효과를 포함하는 선형혼합모형으로 분석한다. 각 장애인별로 얻어진 반복 측정 자료들의 종속성에 적절한 상관행렬을 고려하고, 회귀계수인 고정효과 뿐만 아니라 각 장애인별 특성을 반영하는 임의효과를 포함시켜 장애인 우울에 유의한 변수들을 찾고 최종모형을 구한다. 고정효과만 고려한 모형으로부터 얻어진 잔차들은 각 장애인별 잔차들의 평균이 0 근처에 있지 않다는 것을 보여주고, 임의효과를 포함하고 있는 최종모형의 잔차들의 잔차도와 분위수대조도를 제시하여 최종모형은 각 장애인별 잔차들의 평균의 문제점을 해결한다는 것을 보여주고자 한다.

Keywords

References

  1. Bhattacharjee, A. and Chhetri, K. (2014). Who is more depreesed?: A study among persons with disability. Indian Journal of Health and Wellbeing, 5, 1339-1341.
  2. Choi, N. and Huh, J. (2014). A longitudinal study for child aggression with Korea Welfare Panel Study data. Journal of the Korean Data & Information Science Society, 25, 1439-1447. https://doi.org/10.7465/jkdi.2014.25.6.1439
  3. Choi, B. I., Park, Y. S. and Song, J. Y. (2015). The influence of depression and self-esteem on the drinking level of the disabled: Focused on the mediating effect of life satisfaction. Korean Journal of Social Welfare Education, 29, 141-163.
  4. Diggle, P. J., Heagerty, P., Liang, K. Y. and Zeger, S. L. (2001). Analysis of longitudinal data, 2nd edition, Oxford, New York.
  5. Fan, J. and Gijbels, I. (1996). Local polynomial modelling and its applications, Chapman and Halls, London.
  6. Fitzmaurice, G. M., Laird, N. M. and Ware, J. H. (2011). Applied longitudinal analysis, 2nd edition, John Wiley & Sons, Hoboken, New Jersey.
  7. Geerlings, S. W., Beekman, A. T. F., Deeg, D. J. H., Twisk, J. W. R. and van Tilburg, W. (2001). The longitudinal effect of depression on functional limitations and disability in older adults: An eightwave prospective community-based study. Psychological Medicine, 31, 1361-1371.
  8. Geerlings, S. W., Twisk, J. W. R., Beekman, A. T. F., Deeg, D. J. H., and van Tilburg, W. (2002). Longitudinal relationship between pain and depression in older adults: Sex, age and physical disability. Social Psychiatry and Psychiatric Epidemiology, 37, 23-30. https://doi.org/10.1007/s127-002-8210-2
  9. Im, W. G. and Hwang, S. H. (2014). Investigation of the causes of suicidal ideation of persons with severe disabilities living in S-Gu-focusing on their daily activities, experience of committing suicide, and depression. The Korean Society of Stress Medicine, 22, 35-42.
  10. Joen, H. S. and Kahng, S. K. (2013). An exploratory study on the predictors of depression trajectory among individuals with disabilities: Multi-group comparisons between 65 and over and 65 less using korean welfare panel study. Journal of Rehabilitation Research, 17, 41-67.
  11. Jeon, J. H. (2010). Study for the mediators and relationship between disability discrimination experience and mental health of people with disabilities. Mental Health & Social Work, 35, 51-80.
  12. Jeong, J. S. and Park, M. E. (2016). A study on the factors influencing the depression-exit of disabled. Korean Journal of Social Welfare Education, 36, 55-83.
  13. Jo, J. and Chang, U. J. (2013). A statistical analysis of the fat mass repeated measures data using mixed model. Journal of the Korean Data & Information Science Society, 24, 303-310. https://doi.org/10.7465/jkdi.2013.24.2.303
  14. Kim, H. and Park, K. (2013). The review of process and researches in acceptance commitment therapy for depression. Journal of Psychotherapy, 13, 99-112.
  15. Kim, Y. S., Kim, S. Y. and Kim, M. (2014). Factors related to depression and activities of daily living in persons with disability: Using the Korean welfare panel data. Korean Public Health Research, 40, 51-62.
  16. Lee, N. and Huh, J. (2017). A longitudinal data analysis for child academic achievement with Korea welfare panel study data. Journal of the Korean Data & Information Science Society, 28, 1-10. https://doi.org/10.7465/jkdi.2017.28.1.1
  17. Lee, H. J. and Kahng, S. K. (2009). The relationships between stressors, psychosocial resources, and depression among individuals with disabilties. Mental Health & Social Work, 33, 193-217.
  18. Lee, J., Sung, J. and Won, S. (2014). Efficient strategy for the genetic analysis of related samples with a linear mixed model. Journal of the Korean Data & Information Science Society, 25, 1025-1038. https://doi.org/10.7465/jkdi.2014.25.5.1025
  19. Montgomery, D., C., Peck, E., A. and Vining, G. G. (2012). Introduction to linear regression analysis, 5th edition, John Wiley & Sons, Hoboken, New Jersey.
  20. Park, S. K. (2013). Factors associated with depression among injured workers with disabilities returning to work in South Korea : Comparison of return to pre-injury job with work at a new firm. Korean Journal of Social Welfare Research, 37, 149-174.
  21. Shin, J. S., Lee, K. H., Kim, K. S. and Lee, Y. I. (2011). The impact of perceived social stigma on depression among people with disabilities living in Choongbuk. Journal of Community Welfare, 37, 361-385.
  22. Verbeke, G. and Molenberghs, G. (2009). Linear mixed models for longitudinal data, Springer Verlag, New York.

Cited by

  1. Relationship between Sleep Duration Trajectories and Self-Rated Depressive Symptoms in South Koreans with Physical Disabilities vol.9, pp.3, 2017, https://doi.org/10.3390/healthcare9030361