Development of a Prediction Model for Predicting 10‐year Incidence of Type 2 Diabetes in Japanese People; Panasonic Cohort Study 7
We developed a noninvasive diabetes risk-prediction model for the Japanese population and confirmed its utility for identifying individuals at high risk of type 2 diabetes over time.
Authors
- Akihiro Obora
- Satoshi Teramukai (ORCID: https://orcid.org/0000-0003-2184-0597)
- Go Horiguchi (ORCID: https://orcid.org/0000-0001-6966-7215)
- Akari Naito (ORCID: https://orcid.org/0000-0002-5243-3137)
- Masato Ito (ORCID: https://orcid.org/0000-0003-1689-446X)
- Hiroshi Okada (ORCID: https://orcid.org/0000-0002-1707-970X)
- Hiroaki Murata (ORCID: https://orcid.org/0000-0002-6185-5059)
- Takao Kojima (ORCID: https://orcid.org/0000-0001-9689-2098)
- Kazushiro Kurogi
- Chihiro Munekawa (ORCID: https://orcid.org/0000-0001-9603-1802)
- Michiaki Fukui (ORCID: https://orcid.org/0000-0003-0903-1797)
- Masahide Hamaguchi (ORCID: https://orcid.org/0000-0002-8651-4445)
Institutions
- Panasonic (Japan) (JP)
- Asahi University (JP)
- Kyoto Prefectural University of Medicine (JP)
- University Hospital Kyoto Prefectural University of Medicine (JP)
- Matsushita Memorial Hospital (JP)
Publication Details
- Journal
- Diabetes/Metabolism Research and Reviews
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1002/dmrr.70040
- Citations
- 1
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 1.29