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Comparing the smoking rates between people with and without disabilities: Using propensity score matching

장애인 인구집단과 일반인구집단간의 흡연율 비교: 성향점수매칭법을 활용하여

  • Choi, Minhyeok (Regional Center for Respiratory Diseases, Pusan National University Hospital) ;
  • Choi, Jinhyeok (Department of Special Education, Pusan National University)
  • 최민혁 (부산대학교병원 권역호흡기센터) ;
  • 최진혁 (부산대학교 특수교육과)
  • Received : 2016.01.22
  • Accepted : 2016.03.04
  • Published : 2016.03.31

Abstract

Objectives: It has been well documented that people on the lower socioeconomic position are significantly more likely to smoke cigarettes. The purposes of this study were (a) to identify a potential difference of socioeconomic factors, and (b) to compare a smoking rate, one of the most representative health behavior between people with/without disabilities after the controlling socioeconomic factors. Methods: The Korea Panel Survey of Employment for People of Disabilities (2012) and the Korea National Health and Nutrition Survey (2012) were employed for calculating the smoking rates of persons with/without disabilities. Results: The results demonstrated that the socioeconomic position indicators (education, occupation and household equivalent income) of persons with disabilities were lower than persons without disabilities. The smoking rates of the persons with/without disabilities were 35.9% and 19.0% respectively before propensity score matching. After propensity score matching with the socioeconomic factors, however, ATT of people with disabilities was 0.201 which is lower than ATT of people without disabilities (0.227). Conclusions: Our findings indicated that the socioeconomic level of persons with disabilities is important to improve the smoking rates and health level regardless of their disabilities.

Keywords

References

  1. Ban, G. H., & Cho, H. J. (1996). Prevalence of smoking among psychiatric inpatients-A preliminary study for non-smoking in psychiatric wards in Korea (2). Korean Journal of Psychopathology, 5(1), 70-76.
  2. Becker, S. O., & Ichino, A. (2002). Estimation of average treatment effects based on propensity scores. The Stata Journal, 2(4), 358-377.
  3. Bobak, M., Jarvis, M. J., Skodova, Z., & Marmot, M. (2000). Smoke intake among smokers is higher in lower socioeconomic groups. Tobacco Control, 9, 310-312. https://doi.org/10.1136/tc.9.3.310
  4. Cavelaars, A. E., Kunst, A. E., Geurts, J. J., Crialesi, R., Grotvedt, L., Helmert, U., & Mackenbach, J. P. (2000). Educational differences in smoking: international comparison. British Medical Journal, 320(7242), 1102-1107. https://doi.org/10.1136/bmj.320.7242.1102
  5. Cho, H. J., Khang, Y. H., & Yun, S. C. (2006). Occupational differentials in cigarette smoking in South Korea: Finding from the 2003 Social Statistics Survey. Journal of Preventive Medicine Public Health, 39(4), 365-370.
  6. Fernandez, E., Schiaffino, A., Garcia, M., & Borras, J. M. (2001). Widening social inequalities in smoking cessation in Spain. 1987-1997. Journal of Epidemiology and Community Health, 55(10), 729-730. https://doi.org/10.1136/jech.55.10.729
  7. Galobardes, B., Shaw, M., Lawlor, D. A., Lynch, J. W., & Davey, S. G. (2006). Indicators of socioeconomic position (Part 1). Journal of Epidemiology and Community Health. 60(1), 7-12. https://doi.org/10.1136/jech.2004.023531
  8. Hughes, J. R., Hatsukami, D. K., Mitchell, J. E., & Dahlgren, L. A. (1986). Prevalence of smoking among psychiatric outpatients. American Journal of Psychiatry, 143(8), 993-997. https://doi.org/10.1176/ajp.143.8.993
  9. Jarrett, T., & Pignataro, R. M. (2013). Cigarette smoking among college students with disabilities: national college health assessment II, fall 2008-spring 2009. Disability and Health Journal, 6(3), 204-212. https://doi.org/10.1016/j.dhjo.2013.01.011
  10. Jones, G. C., & Bell, K. (2004). Adverse health behaviors and chronic conditions in working-age women with disabilities. Family & Community Health, 27(1), 22-36. https://doi.org/10.1097/00003727-200401000-00004
  11. Kalyva, E. (2007). Prevalence and influences on self-reported smoking among adolescents with mild learning disabilities, attention deficit hyperactivity disorders and their typically developing peers. Journal of Intellectual Disability Research, 11(3), 267-279. https://doi.org/10.1177/1744629507080790
  12. Kaufman, J. S., Kaufman, S., & Poole, C. (2003). Causal inference from randomized trials in social epidemiology. Social Science and Medicine, 57(12), 2397-2409. https://doi.org/10.1016/S0277-9536(03)00135-7
  13. Khang, Y. H., & Cho, H. J. (2006). Socioeconomic inequality in cigarette smoking: Trends by gender, age, and socioeconomic position in South Korea. Preventive Medicine, 42(6), 415-422. https://doi.org/10.1016/j.ypmed.2006.02.010
  14. Khang, Y. H., Lynch, J. W., Jung-Choi, K. H., & Cho, H. J. (2008). Explaining age specific inequalities in mortality from all causes, cardiovascular disease and ischaemic heart disease among South Korean male public servants: relative and absolute perspectives. Heart, 94(1), 75-82. https://doi.org/10.1136/hrt.2007.117747
  15. Kim, C. Y. (2004). Socio-economic status, health, and health risk behavior. Health and Welfare Policy Forum, 92, 18-25.
  16. Kim, H. R. (2007). Socioeconomic inequality and its trends in cigarette smoking in South Korea, 1998-2005. Health and Social Welfare Review, 27(2), 25-43. https://doi.org/10.15709/hswr.2007.27.2.25
  17. Kim, H. R., Khang, Y. H., Park, E. J., Choi, J. S., Lee, Y. H., & Kim, Y. S. (2006). Socioeconomic, behavioral, nutritional, and biological determinants of morbidity, mortality, and medical utilization in South Korea: Analysis of Korea National Health and Nutrition Examination Survey(K-NHANES) linked data. Seoul, South Korea: Korea Institute for Health and Social Affairs.
  18. Kim, J. H., & Jeung, H. R. (2005). A Study on the ADL of the visually impaired in high school: Smoking and relevant factors. The Journal of Special Education: Theory and Practice, 6(2), 25-51.
  19. Korean Association on Smoking or Health (2005). Smoking and statistics. Korea states for smoking. Seoul, South Korea: Korean Association on Smoking or Health.
  20. Korea Institute for Health and Social Affairs. (2015). 2014 actual survey on the reality of Korean disabled people. Seoul, South Korea: Korea Institute for Health and Social Affairs.
  21. Kunst, A. E., Giskes, K., & Mackenbach, J. P. (2004). Socio-economic inequalities in smoking in the European Union: Applying an equity lens to tobacco control policies. Rotterdam, Netherlands: Erasmus Medical Center.
  22. Lee, J., Park, J., Kim, H., & Shin, H. (2014). Smoking behaviors among people with disabilities in Korea. Disability and Health Journal, 7(2), 236-241. https://doi.org/10.1016/j.dhjo.2013.11.002
  23. Lyon, E. R. (1999). A review of the effects of nicotine on schizophrenia and antipsychotic medications. Psychiatry Service, 50, 1346-1350. https://doi.org/10.1176/ps.50.10.1346
  24. Ministry of Education, Science and Technology & Ministry of Health and Welfare. (2015). the 10th survey on the health behavior in school-aged children report. Seoul, South Korea: Ministry of Education, Science and Technology & Ministry of Health and Welfare.
  25. Ministry of Health and Welfare. (2014). Korea health statistics 2013 : Korea national heath and nutrition examination survey (KNHANHES VI-1). Seoul, South Korea: Ministry of Health and Welfare.
  26. Ministry of Health and Welfare. (2015). 2008-2014 Korea community health survey report. Seoul, South Korea: Ministry of Health and Welfare.
  27. Moon, Y. S., Kim, D. H., Oh, B. H., Lee, H. S., Namkoong, K., & Yoo, K. J. (1998). Smoking status in psychiatric inpatients. Korean Journal of Psychopharmacology, 9(1), 82-90.
  28. Newhouse, J. P., & McClellan, M. (1998). Econometrics in outcomes research: The use of instrumental variables. Annual Review of Public Health, 19, 17-34. https://doi.org/10.1146/annurev.publhealth.19.1.17
  29. Normand, S. T., Landrum, M. B., Guadagnoli, E., Ayanian, J. Z., Ryan, T. J., Cleary, P. D., & McNeil, B. J. (2001). Validating recommendations for coronary angiography following acute myocardial infarction in the elderly: A matched analysis using propensity scores. Journal of Clinical Epidemiology, 54(4), 387-398. https://doi.org/10.1016/S0895-4356(00)00321-8
  30. Organisation for Economic Co-operation and Development. (2014). OECD factbook 2014 : economic, environmental and social statistics. Paris, France: OECD Publishing.
  31. Park, Y. M., & Chung, M. S. (2007). Effects of a cognitive-behavioral smoking cessation program on mentally disordered smokers residing in an institution. The Korean Journal of Health Psychology, 12(4), 887-904. https://doi.org/10.17315/kjhp.2007.12.4.013
  32. Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55. https://doi.org/10.1093/biomet/70.1.41
  33. Statistics Korea (2014). 2013 Annual report on the cause of death statistics. Daejeon, South Korea: Statistics Korea.
  34. U. S. Department of Health and Human Services. (2014). The health consequences of smoking-50 years of progress: A report of the Surgeon General. Atlanta, GA: U. S. Department of Health and Human Services.
  35. World Health Organization. (2004). Building blocks for tobacco control. Geneva, Switzerland: World Health Organization.
  36. World Health Organization. (2008). WHO report on the global tobacco epidemic. Geneva, Switzerland: World Health Organization.

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