Korean J Fam Pract 2020; 10(1): 32-38  https://doi.org/10.21215/kjfp.2020.10.1.32
Association between Education Level and Diabetes in Korean Adults Over 30 Years Old: The Seventh Korea National Health and Nutrition Examination Survey (2016–2017)
Tae-Ho Kang, Yu-Seok Hwang, Joon-Sung Kim, Yun-Soo Park, Jae-Min Jeong*
Department of Family Medicine, Yeosu Chonnam Hospital, Yeosu, Korea
Jae-Min Jeong
Tel: +82-61-640-7575, Fax: +82-61-643-2628
E-mail: mdjjm@naver.com
ORCID: http://orcid.org/0000-0001-5482-7036
Received: July 12, 2019; Revised: December 16, 2019; Accepted: December 19, 2019; Published online: February 20, 2020.
© 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.
Background: It has been reported that low education levels are associated with an increased prevalence of diabetes mellitus. The aim of this study was to investigate the relationship between education level and the prevalence of diabetes.
Methods: This study was based on the original data of the 7th Korea National Health and Nutrition Examination Survey (2016–2017). In total, 4,819 adults over 30 years of age participated in this study, and multiple logistic regression analysis was used to derive the odds ratio and 95% confidence interval to assess the relationship between education level and diabetes. The influence of sex, age, obesity, depression, drinking, smoking, and occupation was analyzed to determine the net influence of education level on the prevalence of diabetes mellitus.
Results: The level of education and prevalence of diabetes were significantly correlated. When the level of education was high, the possibility of diabetes mellitus was higher than that in university graduates (odds ratios=1.836, P<0.05); however, the prevalence of diabetes mellitus was not significantly different from that in college graduates. The effect of correction variables on the prevalence of diabetes showed significant differences (P<0.05) in sex, age, obesity, and occupation.
Conclusion: There was a statistically significant association between the low level of education and the prevalence of diabetes mellitus in this study; therefore, active intervention for diabetes is required in people with low education.
Keywords: Education Level; Korea National Health and Nutrition Examination Survey; Diabetes
  1. Kim KS, Choi CH, Lee DY, Kim EJ. Epidemiological study on diabetes mellitus among rural Korean. J Korean Diabetes Assoc 1972; 1: 17-24.
  2. Kim SG, Choi DS. The present state of diabetes mellitus in Korea. J Korean Med Assoc 2008; 51: 791-8.
  3. Park IB, Baik SH. Epidemiologic characteristics of diabetes mellitus in Korea:current status of diabetic patients using Korean health insurance database. Korean Diabetes J 2009; 33: 357-62.
  4. Statistics Korea. Annual report on the diabetes: ≥30 years, by sex 2019 [Internet]. Daejeon: Statistics Korea; 2019 [cited 2019 Feb 20].
  5. Prevention of diabetes mellitus. Report of a WHO study group. World Health Organ Tech Rep Ser 1994; 844: 1-100.
  6. Statistics Korea. Annual report on the cause of death statistics 2017 [Internet]. Daejeon: Statistics Korea; 2018 [cited 2018 Sep 19].
    Available from: http://kostat.go.kr/
  7. Ji JH. The effect of health walking exercise on body composition and physical fitness for male obese middle school students. [dissertation]. Gwanju:Graduate School of Education, Chosun Univ.; 2006. Korean.
  8. Lee JH, Song CH, Yum KS, Kim KS, Nam SW, Han JY, et al. Age associated changes in body mass index and body fat distribution. J Korean Acad Fam Med 2003; 24: 1010-6.
  9. Zimmet PZ. Kelly West Lecture 1991. Challenges in diabetes epidemiology--from West to the rest. Diabetes Care 1992; 15: 232-52.
    Pubmed CrossRef
  10. Reaven GM. Role of insulin resistance in human disease (syndrome X): an expanded definition. Annu Rev Med 1993; 44: 121-31.
    Pubmed CrossRef
  11. Lindsay RS, Howard BV. Cardiovascular risk associated with the metabolic syndrome. Curr Diab Rep 2004; 4: 63-8.
    Pubmed CrossRef
  12. Agardh EE, Ahlbom A, Andersson T, Efendic S, Grill V, Hallqvist J, et al. Socio-economic position at three points in life in association with type 2 diabetes and impaired glucose tolerance in middle-aged Swedish men and women. Int J Epidemiol 2007; 36: 84-92.
    Pubmed CrossRef
  13. Ko GT, Chan JC, Yeung VT, Chow CC, Tsang LW, Cockram CS. A low socioeconomic status is an additional risk factor for glucose intolerance in high risk Hong Kong Chinese. Eur J Epidemiol 2001; 17: 289-95.
    Pubmed CrossRef
  14. Rabi DM, Edwards AL, Southern DA, Svenson LW, Sargious PM, Norton P, et al. Association of socio-economic status with diabetes prevalence and utilization of diabetes care services. BMC Health Serv Res 2006; 6: 124.
    Pubmed KoreaMed CrossRef
  15. Robbins JM, Vaccarino V, Zhang H, Kasl SV. Socioeconomic status and type 2 diabetes in African American and non-Hispanic white women and men:evidence from the third national health and nutrition examination survey. Am J Public Health 2001; 91: 76-83.
    Pubmed KoreaMed CrossRef
  16. Centers for Disease Control and Prevention (CDC). Socioeconomic status of women with diabetes--United States, 2000. MMWR Morb Mortal Wkly Rep 2002; 51: 147-8, 59.
  17. Tak YJ, Kang G. Trends of Korean and international medical research about obesity. Korean J Obes 2008; 17: 154-61.
  18. Jung YM, Kim JH. Comparison of cognitive levels, nutritional status, depression in the elderly according to living situations. J Korean Acad Nurs 2004; 34: 495-503.
    Pubmed CrossRef
  19. Stoop CH, Spek VR, Pop VJ, Pouwer F. Disease management for co-morbid depression and anxiety in diabetes mellitus: design of a randomised controlled trial in primary care. BMC Fam Pract 2011; 12: 139.
    Pubmed KoreaMed CrossRef
  20. Kim YM, Cho DG, Kang SH. An empirical analysis on geographic variations in the prevalence of diabetes. Health Soc Welf Rev 2014; 34: 82-105.
  21. Gupta R, Misra A. Review: Type 2 diabetes in India: regional disparities. Br J Diabetes Vasc Dis 2007; 7: 12-6.

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