CUN-BAE adiposity index prediction of incident type 2 diabetes: the Seguimiento Universidad de Navarra prospective cohort
CUN-BAE index, an easy equation that can be used in any clinical setting, predicted better the risk of incident diabetes compared to BMI. Our results emphasize the importance of reducing and maintaining a low adiposity in order to prevent diabetes.
Authors
- Maira Bes‐Rastrollo (ORCID: https://orcid.org/0000-0002-9139-4206)
- Ligia J. Domínguez (ORCID: https://orcid.org/0000-0003-1466-8610)
- Estefanía Toledo (ORCID: https://orcid.org/0000-0002-6263-4434)
- Miguel Ángel Martínez‐González (ORCID: https://orcid.org/0000-0002-3917-9808)
- Mario Barbagallo (ORCID: https://orcid.org/0000-0002-1349-6530)
- Carmen Sayón-Orea (ORCID: https://orcid.org/0000-0002-4137-3263)
- Alfredo Gea (ORCID: https://orcid.org/0000-0002-2229-4690)
Institutions
- Instituto de Salud Carlos III (ES)
- Instituto de Salud Pública de Navarra (ES)
- University of Palermo (IT)
Publication Details
- Journal
- The journal of nutrition health & aging
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1016/j.jnha.2025.100545
- Citations
- 1
- Primary Topic
- Cardiovascular Disease and Adiposity
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- Universidad de Navarra
- Plan Nacional sobre Drogas
- Instituto de Salud Carlos III
- European Regional Development Fund