Korean J Fam Pract. 2017; 7(2): 195-201  https://doi.org/10.21215/kjfp.2017.7.2.195
Associations between Trends in Aging, Physical Activity, Central Obesity and Body Mass Index with Diabetes Prevalence in Korea: A Series of Cross-Sectional Studies from the 1st to 5th Korean National Health and Nutrition Examination Survey (1998-2012)
Seong Min Jeong, Bora Yoo, Yeon Jung Kim, Bitna Oh, Hee Cheol Kang*
Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
Hee Cheol Kang
Tel: +82-2-2228-2332, Fax: +82-2-362-2473
E-mail: kanghc@yuhs.ac
Received: February 26, 2016; Revised: July 6, 2016; Accepted: July 7, 2016; Published online: April 20, 2017.
© 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: Diabetes is a dramatically increasing clinical and public health problem. The prevalence of diabetes coincides with trends in certain risk factors for diabetes, such as aging, decreasing physical activity levels, and increasing obesity or central obesity in the Korean population.
Methods: In total, 46,846 subjects aged 19 years or older from the first to the fifth Korea National Health and Nutrition Examination Surveys (KNHANES) were examined in a cross-sectional study. Multiple logistic regression analysis was used to calculate the prevalence of diabetes with adjustments for age, physical activity, central obesity, and body mass index (BMI).
Results: Between 1998 and 2010 to 2012, the prevalence of diabetes increased from 3.55% to 10.00% in men and from 3.51% to 5.62% in women (P for trend for both groups <0.001). After adjustment for age, physical activity, central obesity, and BMI, the prevalence of diabetes increased in men and women (P for trend <0.001). Age was the greatest contributor among the four variables to the change in prevalence estimates after adjustment.
Conclusion: As the trend of aging is the most powerful contributor to predict the prevalence of diabetes, it is necessary to prepare clinical and public strategies for Korea’s aging society to prevent and manage diabetes.
Keywords: Diabetes Mellitus; Age; Obesity; Korea; Korean National Health and Nutrition Survey
References
  1. Korea Centers for Disease Control and Prevention. Prevalence and management status of diabetes mellitus in Korean adults [Internet]. Cheongju:Korea Centers for Disease Control and Prevention; 2012 [cited 2016 Jan 20].
    Available from: http://www.cdc.go.kr
  2. Choi YJ, Cho YM, Park CK, Jang HC, Park KS, Kim SY, et al. Rapidly increasing diabetes-related mortality with socio-environmental changes in South Korea during the last two decades. Diabetes Res Clin Pract 2006; 74: 295300.
    Pubmed CrossRef
  3. Kim SG, Choi DS. Epidemiology and current status of diabetes in Korea. Hanyang Med Rev 2009; 29: 122-9.
  4. Carlsson S, Ahlbom A, Lichtenstein P, Andersson T. Shared genetic influence of BMI, physical activity and type 2 diabetes: a twin study. Diabetologia 2013; 56: 1031-5.
    Pubmed CrossRef
  5. Ha KH, Kim DJ. Trends in the diabetes epidemic in Korea. Endocrinol Metab (Seoul) 2015; 30: 142-6.
    Pubmed KoreaMed CrossRef
  6. Kim YJ, Jeon JY, Han SJ, Kim HJ, Lee KW, Kim DJ. Effect of socio-economic status on the prevalence of diabetes. Yonsei Med J 2015; 56: 641-7.
    Pubmed KoreaMed CrossRef
  7. Lee YH, Bang H, Kim HC, Kim HM, Park SW, Kim DJ. A simple screening score for diabetes for the Korean population: development, validation, and comparison with other scores. Diabetes Care 2012; 35: 1723-30.
    Pubmed KoreaMed CrossRef
  8. Rhee EJ. Diabetes in Asians. Endocrinol Metab (Seoul) 2015; 30: 263-9.
    Pubmed KoreaMed CrossRef
  9. Svensson E, Berencsi K, Sander S, Mor A, Rungby J, Nielsen JS, et al. Association of parental history of type 2 diabetes with age, lifestyle, anthropometric factors, and clinical severity at type 2 diabetes diagnosis: results from the DD2 study. Diabetes Metab Res Rev 2016; 32: 308-15.
    Pubmed CrossRef
  10. Menke A, Rust KF, Fradkin J, Cheng YJ, Cowie CC. Associations between trends in race/ethnicity, aging, and body mass index with diabetes prevalence in the United States: a series of cross-sectional studies. Ann Intern Med 2014; 161: 328-35.
    Pubmed CrossRef
  11. Korean Statistical Information Service. Estimated future population [Internet]. Daejeon: Korean Statistical Information Service; 2012 [cited 2016 Jan 29].
    Available from: http://www.kosis.kr
  12. Balkau B, Deanfield JE, Després JP, Bassand JP, Fox KA, Smith SC Jr, et al. International Day for the Evaluation of Abdominal Obesity (IDEA): a study of waist circumference, cardiovascular disease, and diabetes mellitus in 168,000 primary care patients in 63 countries. Circulation 2007; 116: 194251.
    Pubmed KoreaMed CrossRef
  13. Li S, Xiao J, Ji L, Weng J, Jia W, Lu J, et al. BMI and waist circumference are associated with impaired glucose metabolism and type 2 diabetes in normal weight Chinese adults. J Diabetes Complications 2014; 28: 470-6.
    Pubmed CrossRef
  14. Deurenberg P, Deurenberg-Yap M, Guricci S. Asians are different from Caucasians and from each other in their body mass index/body fat per cent relationship. Obes Rev 2002; 3: 141-6.
    Pubmed CrossRef
  15. Deurenberg P, Yap M, van Staveren WA. Body mass index and percent body fat: a meta analysis among different ethnic groups. Int J Obes Relat Metab Disord 1998; 22: 1164-71.
    Pubmed CrossRef


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