Insulin Resistance and Impaired Insulin Secretion Predict Incident Diabetes: A Statistical Matching Application to the Two Korean Nationwide, Population-Representative Cohorts

Insulin resistance and impaired insulin secretion are robust predictors of diabetes in the Korean population. A retrospective cohort constructed by combining cross-sectional synthetic and longitudinal claims-based cohort data through statistical matching may be a reliable resource for studying the natural history of diabetes.

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Publication Details

Journal
Endocrinology and Metabolism
Published
2024-08-30
DOI
https://doi.org/10.3803/enm.2024.1986
Citations
7
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.71

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article

Insulin Resistance and Impaired Insulin Secretion Predict Incident Diabetes: A Statistical Matching Application to the Two Korean Nationwide, Population-Representative Cohorts

Hyemin Jo, Jung Hun Ohn, Eunjeong Ji, Joongyub Lee et al.
7 citations
Endocrinology and Metabolism
Liver Disease Diagnosis and Treatment
2.71
article

Insulin Resistance and Impaired Insulin Secretion Predict Incident Diabetes: A Statistical Matching Application to the Two Korean Nationwide, Population-Representative Cohorts

Hyemin Jo, Jung Hun Ohn, Eunjeong Ji, Joongyub Lee, Cheol Min Shin, Soyeon Ahn, Sung Jae Jung, Donggil Kim
article en
7 citations

Abstract

Insulin resistance and impaired insulin secretion are robust predictors of diabetes in the Korean population. A retrospective cohort constructed by combining cross-sectional synthetic and longitudinal claims-based cohort data through statistical matching may be a reliable resource for studying the natural history of diabetes.

Endocrinology and MetabolismVol. 39(5)
Seoul National University (KR), New Generation University College (ET), Seoul National University Bundang Hospital (KR)
Korea Health Industry Development Institute
Openalex Percentile: Top 9%
Liver Disease Diagnosis and Treatment
2.71
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