Korean J Fam Pract 2019; 9(3): 254-259  https://doi.org/10.21215/kjfp.2019.9.3.254
Analysis of Drinking Behavior According to Household Type: Using Data from the 6th Korean National Health and Nutrition Examination Survey
Myung-Chul Jung, Da-Hye Choi*, Tae-Young Lee, Young-In An, Seong-Jee Park, Hoon Jang, Geun-Hyo Shim
Department of Family Medicine, Daejeon Veterans Hospital, Daejeon, Korea
Da-Hye Choi
Tel: +82-42-939-0314, Fax: +82-42-939-0567
E-mail: dahye76@bohun.or.kr
Received: August 7, 2018; Revised: October 29, 2018; Accepted: November 29, 2018; Published online: June 20, 2019.
© The Korean Academy of Family Medicine. All rights reserved.

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Background: Previous studies have revealed an association between health behavior and household type; moreover, there have been debates on the relation between drinking behavior and household type. Therefore, we examined drinking behavior of one-person households and compared the differences with multi-person households.
Methods: This study analyzed 8,966 participants, aged 19 years or older, in the 6th Korea National Health and Nutrition Examination Survey (2013, 2015). All participants were categorized into one- and multi-person households. The general characteristics were extracted using a chi-square test, and the risk of drinking behavior of one-person households was analyzed via multiple logistic regression.
Results: There were no statistically significant differences in the drinking behavior of men by household type. However, the risks of binge and problem drinking were 3.242 times (95% confidence interval [CI], 1.624–6.471) and 2.488 times (95% CI, 1.097–5.642) higher, respectively, in one-person household women than in multi-person household members aged between 19 and 39 years. Furthermore, the risk of problem drinking was 2.266 times (95% CI, 1.126–4.561) higher in one-person household women than in multi-person household members aged between 40 and 64 years.
Conclusion: Considering the increasing trend of one-person households, follow-up studies on drinking behavior of one-person households are needed; the findings of these studies need to be used to prevent alcohol-related diseases and socio-economic problems.
Keywords: Household; Drinking Behavior; Alcohol Use Disorders
References
  1. Statistics Korea. Complete enumeration results of the 2016 population and housing census. Daejeon: Statistics Korea; 2017.
  2. Byun MR. Single Person household and urban policy in Seoul. Korean J Cult Soc Issues 2015; 21: 551-73.
    CrossRef
  3. Waldron I, Hughes ME, Brooks TL. Marriage protection and marriage selection--prospective evidence for reciprocal effects of marital status and health. Soc Sci Med 1996; 43: 113-23.
    Pubmed CrossRef
  4. Kim SH, Kim YL, Kim KW, Kim KH. The health behavior of single adult households in Korean over 30: The 6th Korean National Health and Nutrition Examination Survey. Korean J Fam Pract 2017; 7: 330-6.
    CrossRef
  5. Umberson D, Crosnoe R, Reczek C. Social relationships and health behavior across life course. Annu Rev Sociol 2010; 36: 139-57.
    Pubmed KoreaMed CrossRef
  6. Hong JW, Noh JH, Kim DJ. The prevalence of and factors associated with high-risk alcohol consumption in Korean adults: the 2009-2011 Korea National Health and Nutrition Examination Survey. PLoS One 2017; 12: e0175299.
    Pubmed KoreaMed CrossRef
  7. Zhang J, Wu L. Cigarette smoking and alcohol consumption among Chinese older adults: do living arrangements matter? Int J Environ Res Public Health 2015; 12: 2411-36.
    Pubmed KoreaMed CrossRef
  8. Kim A, Park NL, Lee JA, Park HS. Health behaviors and mental health of Korean young adults from single households: data analysis from the 5th Korea National Health and Nutrition Examination Survey (2010-2012). Korean J Fam Pract 2017; 7: 667-73.
    CrossRef
  9. Rehm J, Mathers C, Popova S, Thavorncharoensap M, Teerawattananon Y, Patra J. Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. Lancet 2009; 373: 2223-33.
    Pubmed CrossRef
  10. National Institute on Alcohol Abuse and Alcoholism. Helping patients who drink too much: a clinician's guide. Bethesa: National Institute on Alcohol Abuse and Alcoholism; 2005.
  11. Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption--II. Addiction 1993; 88: 791-804.
    Pubmed CrossRef
  12. Kim JS, Oh MK, Park BK, Lee MK, Kim GJ. Screening criteria of alcoholism by alcohol use disorders identification test (AUDIT) in Korea. J Korean Acad Fam Med 1999; 20: 1152-9.
  13. Korea Centers for Disease Control and Prevention. The sixth Korea National Health and Nutrition Examination Survey (KNHANES VI-3). Osong:Korea Centers for Disease Control and Prevention; 2015.
  14. Lee HK, Lee BH. The epidemiology of alcohol use disorders. J Korean Diabetes 2012; 13: 69-75.
    CrossRef
  15. Jeong S, Cho SI. Effects of living alone versus with others and of housemate type on smoking, drinking, dietary habits, and physical activity among elderly people. Epidemiol Health 2017; 39: e2017034.
    Pubmed KoreaMed CrossRef


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