This paper is in the following e-collection/theme issue:

Cross-Sectional Studies in Public Health (289) Diabetes (194) Descriptive Epidemiology and Population Size Estimates (109) Diabetes Self-Management (495) Diabetes Surveillance and Epidemiology (27)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59571, first published .
Prevalence, Awareness, Treatment, and Control of Type 2 Diabetes in South Korea (1998 to 2022): Nationwide Cross-Sectional Study

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

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

Authors of this article:

Wonwoo Jang1, 2 Author Orcid Image ;   Seokjun Kim1, 2 Author Orcid Image ;   Yejun Son2, 3 Author Orcid Image ;   Soeun Kim2, 3 Author Orcid Image ;   Hyeon Jin Kim2, 4 Author Orcid Image ;   Hyesu Jo2, 4 Author Orcid Image ;   Jaeyu Park2, 4 Author Orcid Image ;   Kyeongmin Lee2, 4 Author Orcid Image ;   Hayeon Lee2 Author Orcid Image ;   Mark A Tully5 Author Orcid Image ;   Masoud Rahmati6, 7, 8 Author Orcid Image ;   Lee Smith9 Author Orcid Image ;   Jiseung Kang10, 11 Author Orcid Image ;   Selin Woo2 Author Orcid Image ;   Sunyoung Kim12 Author Orcid Image ;   Jiyoung Hwang2 Author Orcid Image ;   Sang Youl Rhee1, 2, 3, 4, 13 Author Orcid Image ;   Dong Keon Yon1, 2, 3, 4, 14 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Kim H, Park S, Park J, Son Y, Kim S, Yim Y, Jo H, Lee K, Jeong Y, Oh J, Cho H, Pizzol D, Hwang J, Smith L, Yon D. National trends in type 2 diabetes mellitus stratified by central adiposity using waist-to-height ratio in South Korea, 2005–2022. Scientific Reports 2024;14(1) View
  2. Hwang S, Lee H, Lee J, Lee M, Koyanagi A, Smith L, Rhee S, Yon D, Lee J. Machine Learning–Based Prediction for Incident Hypertension Based on Regular Health Checkup Data: Derivation and Validation in 2 Independent Nationwide Cohorts in South Korea and Japan. Journal of Medical Internet Research 2024;26:e52794 View
  3. Park S, Son Y, Lee H, Lee H, Lee J, Kang J, Smith L, Rahmati M, Dragioti E, Tully M, Fond G, Boyer L, Lee J, Pizzol D, Park J, Woo S, Yon D. Sex-Specific Trends in the Prevalence of Osteoarthritis and Rheumatoid Arthritis From 2005 to 2021 in South Korea: Nationwide Cross-Sectional Study. JMIR Public Health and Surveillance 2024;10:e57359 View