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

Longitudinal and Cohort Studies in Public Health (427) Diabetes (275) Diabetes Self-Management (608) Glucose Tracking and Self-Monitoring of Blood Glucose (206) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1781) Aging with Chronic Disease (185) Hypertension Prevention and Treatment (309) Diabetes Health Services and System Innovations (145)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49617, first published .
Metabolic Score for Insulin Resistance and New-Onset Type 2 Diabetes in a Middle-Aged and Older Adult Population: Nationwide Prospective Cohort Study and Implications for Primary Care

Metabolic Score for Insulin Resistance and New-Onset Type 2 Diabetes in a Middle-Aged and Older Adult Population: Nationwide Prospective Cohort Study and Implications for Primary Care

Metabolic Score for Insulin Resistance and New-Onset Type 2 Diabetes in a Middle-Aged and Older Adult Population: Nationwide Prospective Cohort Study and Implications for Primary Care

Authors of this article:

Hui Cheng1 Author Orcid Image ;   Zhihui Jia1 Author Orcid Image ;   Yu Ting Li2, 3 Author Orcid Image ;   Xiao Yu1 Author Orcid Image ;   Jia Ji Wang4 Author Orcid Image ;   Yao Jie Xie5 Author Orcid Image ;   Jose Hernandez6, 7 Author Orcid Image ;   Harry H X Wang1, 8, 9 Author Orcid Image
Article Authors Cited by (10) Tweetations (2) Metrics

Journals

  1. Tazeem M, Chandrasekaran N, Srivatsa N. Assessing the Utility of the Metabolic Score for Insulin Resistance (METS-IR) in Evaluating Metabolic Risk Among Individuals Undergoing Master Health Checkups in a Tertiary Care Hospital in South India: A Retrospective Cohort Study. Cureus 2024 View
  2. Hou Y, Li R, Xu Z, Chen W, Li Z, Jiang W, Meng Y, Han J, mashili F. Association of METS-IR index with Type 2 Diabetes: A cross-sectional analysis of national health and nutrition examination survey data from 2009 to 2018. PLOS ONE 2024;19(11):e0308597 View
  3. Aznar-Esquivel A, Gómez-Bernal F, García-González M, Hernández-Diaz M, Heras-Recuero E, de Vera-González A, González-Delgado A, Quevedo-Rodríguez A, Quevedo-Abeledo J, Castañeda S, González-Gay M, Ferraz-Amaro I. The Metabolic Score for Insulin Resistance (METS-IR), a Predictor of Cardiovascular Events, Relates to Disease Activity in Patients with Rheumatoid Arthritis. Diagnostics 2025;15(7):861 View
  4. Wenxuan H, Lingyun X, Yujie T, Ting Z, Zhen H, Xiao L, Zhao Y. Association Analysis of Insulin Resistance Metabolic Score (METS‐IR) and Gestational Diabetes Mellitus: Based on National Health and Nutrition Examination Survey Database From 2007 to 2018. Endocrinology, Diabetes & Metabolism 2025;8(4) View
  5. Liu D, Zhong J, Xuan W, Chen W, Yuan J, Zhang X, He L. Predictive value of MetS-IR for the glucose status conversion in prediabetes: a multi-center retrospective cohort study. BMC Endocrine Disorders 2025;25(1) View
  6. Xin Y, Peng N, Xin C, Liao J, Hu X, Dong Y, Zhang X. Metabolic score for insulin resistance is associated with adverse cardiovascular events in patients with type 2 diabetes. World Journal of Diabetes 2025;16(8) View
  7. Assani M, Boldeanu L, Dijmărescu A, Caragea D, Vladu I, Clenciu D, Mitrea A, Stroe-Ionescu A, Caragea M, Siloși I, Boldeanu M. Beyond HOMA-IR: Comparative Evaluation of Insulin Resistance and Anthropometric Indices Across Prediabetes and Type 2 Diabetes Mellitus in Metabolic Syndrome Patients. Life 2025;15(12):1845 View
  8. Yang C, Guo Z, Ma M, Jin S, Zhang S, Xia L, Xia L, Lin X. Differential associations of cumulative average metabolic score for insulin resistance with heart disease and stroke: a prospective cohort study of middle-aged and older Chinese adults. Nutrition & Metabolism 2025;22(1) View
  9. Li Z, Chen X, Hu W, Li G, Zhang X, Gao D, Gao H, Shi S, Klisic A. The relationship between METS-IR and the risk of diabetes incidence in rural adults in China: A retrospective cohort study based on dynamic population. PLOS One 2026;21(1):e0341612 View
  10. Chen S, Li X, Lu F, Shen H. Investigating the prediction potential of cholesterol, high-density lipoprotein, and glucose index surpasses TyG, AIP, and METS-IR for type 2 diabetes: a longitudinal cohort study. Frontiers in Endocrinology 2026;17 View