DOI QR코드

DOI QR Code

Factors Related to Regional Variation in the High-risk Drinking Rate in Korea: Using Quantile Regression

  • Kim, Eun-Su (Department of Public Health, Graduate School, Chungnam National University) ;
  • Nam, Hae-Sung (Department of Preventive Medicine and Public Health and Research Institute for Medical Sciences, Chungnam National University College of Medicine)
  • Received : 2020.10.14
  • Accepted : 2021.03.07
  • Published : 2021.03.31

Abstract

Objectives: This study aimed to identify regional differences in the high-risk drinking rate among yearly alcohol users in Korea and to identify relevant regional factors for each quintile using quantile regression. Methods: Data from 227 counties surveyed by the 2017 Korean Community Health Survey (KCHS) were analyzed. The analysis dataset included secondary data extracted from the Korean Statistical Information Service and data from the KCHS. To identify regional factors related to the high-risk drinking rate among yearly alcohol users, quantile regression was conducted by dividing the data into 10%, 30%, 50%, 70%, and 90% quantiles, and multiple linear regression was also performed. Results: The current smoking rate, perceived stress rate, crude divorce rate, and financial independence rate, as well as one's social network, were related to the high-risk drinking rate among yearly alcohol users. The quantile regression revealed that the perceived stress rate was related to all quantiles except for the 90% quantile, and the financial independence rate was related to the 50% to 90% quantiles. The crude divorce rate was related to the high-risk drinking rate among yearly alcohol users in all quantiles. Conclusions: The findings of this study suggest that local health programs for high-risk drinking are needed in areas with high local stress and high crude divorce rates.

Keywords

References

  1. Kim JS, Lee JK, Chung SK. Meta-analysis of factors related to problem drinking. J Korean Alcohol Sci 2013;14(2):1-18 (Korean).
  2. World Health Organization. Global strategy to reduce the harmful use of alcohol; 2010 [cited 2020 Oct 1]. Available from: https://www.who.int/publications/i/item/9789241599931.
  3. World Health Organization. International guide for monitoring alcohol consumption and related harm; 2000 [cited 2020 Oct 1]. Available from: https://apps.who.int/iris/handle/10665/66529.
  4. Korea Centers for Disease Control and Prevention. 2017 Community Health Survey at a glance. Cheongju: Korea Center for Disease Control and Prevention; 2018 (Korean).
  5. Jung YH, Ko SJ, Lee HG, et al. A study on the social harmfulness of drinking and improvement measures. Seoul: Korean Institute for Health and Social Affairs; 2015, p. 1-224 (Korean).
  6. Macintyre S, Ellaway A, Cummins S. Place effects on health: how can we conceptualise, operationalise and measure them? Soc Sci Med 2002;55(1):125-139. https://doi.org/10.1016/S0277-9536(01)00214-3
  7. Pearce N. Traditional epidemiology, modern epidemiology, and public health. Am J Public Health 1996;86(5):678-683. https://doi.org/10.2105/ajph.86.5.678
  8. Frohlich KL, Corin E, Potvin L. A theoretical proposal for the relationship between context and disease. Sociol Health Illn 2001;23(6):776-797. https://doi.org/10.1111/1467-9566.00275
  9. Kim KK, JeKarl J, Kwon YM, Park MS. Effects of the community environmental characteristics on drinking problems of adults: a multilevel analysis. Korean J Health Educ Promot 2012;29(5):103-113 (Korean).
  10. Lee J. Social-environment factors influencing high risk alcohol consumption in local community. Korean J Soc Welf 2015; 67(1):165-187 (Korean). https://doi.org/10.20970/kasw.2015.67.1.007
  11. Kwon RA, Shin SS, Shin YJ. The effect of alcohol availability on drinking behavior: a multilevel analysis on urban regions. Korea Soc Policy Rev 2018;25(2):125-163. https://doi.org/10.17000/kspr.25.2.201806.125
  12. Jeong JY, Kim C, Shin M, Ryu SY, Hong J, Kim NH, et al. Factors related with regional variations of health behaviors and health status: based on community health survey and regional characteristics data. Korea Public Health Res 2017;43(3):91-108 (Korean). https://doi.org/10.22900/KPHR.2017.43.3.008
  13. Park J, Lee J, Park CG, Lee Y. Factors influencing death anxiety of nursing students. J Korean Data Inf Sci Soc 2018;29(5):1227-1242 (Korean). https://doi.org/10.7465/jkdi.2018.29.5.1227
  14. Kim YT, Choi BY, Lee KO, Kim H, Chun JH, Kim SY, et al. Overview of Korean Community Health Survey. J Korean Med Assoc 2012;55(1):74-83 (Korean). https://doi.org/10.5124/jkma.2012.55.1.74
  15. Anderson P, Baumberg B. Alcohol in Europe: a public health perspective; 2006 [cited 2020 Oct 1]. Available from: https://ec.europa.eu/health/archive/ph_determinants/life_style/alcohol/documents/alcohol_europe_en.pdf.
  16. Ministry of Health and Welfare. Health plan 2016-2020. Seoul: Korea Health Promotion Institute; 2015, p. 61-78 (Korean).
  17. Choi HY, Ryu SY. Factors associated with the types of unmet health care needs among the elderly in Korea. Korean J Health Serv Manag 2017;11(2):65-79 (Korean). https://doi.org/10.12811/kshsm.2017.11.2.065
  18. Nam JM, Cho WH, Lee SH. A study on the statistical distribution and testing of variation indicies at the small area, variation analysis. Korean J Prev Med 1999;32(1):80-87 (Korean).
  19. Kim DH. Analysis of small area variation of health behavior using 2008 Community Health Survey in Korea. Seoul: Korea Centers for Disease Control; 2010, p. 1-122 (Korean).