Do Time-Dependent Repeated Measures of Anthropometric and Body Composition Indices Improve the Prediction of Incident Diabetes in the Cohort Study? Findings from a Community-Based Korean Genome and Epidemiology Study
Utilizing repeated measurements of general and central adiposity to predict diabetes may be helpful in predicting hidden risks, especially in women.
Authors
- Hyesook Park (ORCID: https://orcid.org/0000-0002-9359-6522)
- Hye Ah Lee (ORCID: https://orcid.org/0000-0002-4051-0350)
- Bomi Park (ORCID: https://orcid.org/0000-0001-5834-9975)
Institutions
- Ewha Womans University (KR)
- Chung-Ang University (KR)
Publication Details
- Journal
- Diabetes & Metabolism Journal
- Published
- 2024-11-15
- DOI
- https://doi.org/10.4093/dmj.2024.0357
- Citations
- 2
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.65
Funders
- Korea Disease Control and Prevention Agency
- National Research Foundation
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea