Modeling frameworks in nutritional epidemiology matter: comparing isotemporal and time-lagged Bayesian and frequentist approaches of carbohydrate intake and adiposity
Our findings suggest that incorporating temporal structure, especially through Bayesian models, can uncover relevant relationships that concurrent models may overlook. This study demonstrates that model specification, both in temporal framework and statistical approach, meaningfully influences both the detection and interpretations of associations in nutritional epidemiology.
Authors
- António Labisa Palmeira (ORCID: https://orcid.org/0000-0001-6508-0599)
- Graham William Horgan (ORCID: https://orcid.org/0000-0002-6048-1374)
- Dennis Della Corte (ORCID: https://orcid.org/0000-0002-8884-9724)
- Berit L. Heitmann (ORCID: https://orcid.org/0000-0002-6809-4504)
- Karen Della Corte (ORCID: https://orcid.org/0000-0003-1479-3825)
- R. James Stubbs (ORCID: https://orcid.org/0000-0002-0843-9064)
- Sean Titensor
- David Camacho
- Joshua L. Ebbert (ORCID: https://orcid.org/0009-0003-1361-3578)
Institutions
- Brigham Young University (US)
- University of Copenhagen (DK)
- The University of Sydney (AU)
- University of Leeds (GB)
- Universidade do Porto (PT)
- Frederiksberg Hospital (DK)
- Biomathematics and Statistics Scotland (GB)
- Universidade Lusófona (PT)
Publication Details
- Journal
- Frontiers in Nutrition
- Published
- 2025-12-18
- DOI
- https://doi.org/10.3389/fnut.2025.1700898
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 0.00