Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Apr 16, 2024
Date Accepted: Jun 20, 2024

The final, peer-reviewed published version of this preprint can be found here:

Prevalence, Awareness, Treatment, and Control of Type 2 Diabetes in South Korea (1998 to 2022): Nationwide Cross-Sectional Study

Jang W, Kim S, Son Y, Kim S, Kim HJ, Jo H, Park J, Lee K, Lee H, Tully MA, Rahmati M, Smith L, Kang J, Woo S, Kim S, Hwang J, Rhee SY, Yon DK

Prevalence, Awareness, Treatment, and Control of Type 2 Diabetes in South Korea (1998 to 2022): Nationwide Cross-Sectional Study

JMIR Public Health Surveill 2024;10:e59571

DOI: 10.2196/59571

PMID: 39190907

PMCID: 11387923

Prevalence, awareness, treatment, and control of type 2 diabetes in South Korea, 1998–2022: a nationwide cross-sectional study

  • Wonwoo Jang; 
  • Seokjun Kim; 
  • Yejun Son; 
  • Soeun Kim; 
  • Hyeon Jin Kim; 
  • Hyesu Jo; 
  • Jaeyu Park; 
  • Kyeongmin Lee; 
  • Hayeon Lee; 
  • Mark A Tully; 
  • Masoud Rahmati; 
  • Lee Smith; 
  • Jiseung Kang; 
  • Selin Woo; 
  • Sunyoung Kim; 
  • Jiyoung Hwang; 
  • Sang Youl Rhee; 
  • Dong Keon Yon

ABSTRACT

Background:

The development and control of type 2 diabetes are associated to lifestyle and socioeconomic factors, which have been dramatically modified during the COVID-19 pandemic.

Objective:

we aimed to investigate long-term trends in type 2 diabetes prevalence, awareness, treatment, and control, including the COVID-19 pandemic.

Methods:

This study examined long-term trends in type 2 diabetes prevalence, awareness, treatment, and control in a representative sample of 139,786 people aged over 30 years in South Korea, using data from the National Health and Nutrition Examination Survey, covering the period 1998 to 2022. Weighted linear regression and binary logistic regression were performed to calculate weighted β coefficients or odd ratios with 95% CIs. Stratified analyses were performed, considering sex, age, region of residence, obesity status, educational background, household income, and smoking status. βdiff was calculated to analyze the trend difference between the pre-COVID-19 pandemic and the COVID-19 pandemic.

Results:

During the pandemic (2020–2022), type 2 diabetes prevalence, awareness, treatment, and control among treatment increased, and the trend was steeper than before the pandemic (1998–2019). The statistics for the pandemic were as follows: prevalence, 15.61% (95% CI, 14.83–16.38); awareness, 72.56% (70.39–74.72); treatment, 68.33% (65.95–70.71); control among prevalence, 29.14% (26.82–31.47); and control among treatment, 30.68% (27.88–33.48). The older population and female sex showed higher prevalence, and treatment while obesity groups exhibited heightened prevalence but lower awareness and control. Higher educational backgrounds and household income were associated with lower levels of awareness, treatment, and control.

Conclusions:

Comparing before and after the pandemic, type 2 diabetes awareness, treatment, and control among treatment increased, while prevalence and control among prevalence did not change. Heterogeneous outcomes were observed among population groups with different socioeconomic profiles, suggesting that the pandemic affected type 2 diabetes differently in different population subgroups


 Citation

Please cite as:

Jang W, Kim S, Son Y, Kim S, Kim HJ, Jo H, Park J, Lee K, Lee H, Tully MA, Rahmati M, Smith L, Kang J, Woo S, Kim S, Hwang J, Rhee SY, Yon DK

Prevalence, Awareness, Treatment, and Control of Type 2 Diabetes in South Korea (1998 to 2022): Nationwide Cross-Sectional Study

JMIR Public Health Surveill 2024;10:e59571

DOI: 10.2196/59571

PMID: 39190907

PMCID: 11387923

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.