Multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) to understand how obesity risk varies according to multiple lifestyle behavior recommendations
Using a novel statistical approach, this study shows that additive effects of multiple lifestyle behaviours predominantly explain differences in BMI and obesity risk. Meeting more public health lifestyle recommendations is important in mitigating obesity risk.
Authors
- Ansuman Swain (ORCID: https://orcid.org/0000-0002-8067-7921)
- Natalie Pearson (ORCID: https://orcid.org/0000-0003-2060-5966)
- W. N. Johnson (ORCID: https://orcid.org/0000-0002-0036-7262)
- Scott A. Willis
Institutions
- Loughborough University (GB)
- English Institute of Sport (GB)
- University of Leicester (GB)
- Loughborough College (GB)
- University Hospitals of Leicester NHS Trust (GB)
- NIHR Leicester Biomedical Research Centre (GB)
Publication Details
- Journal
- International Journal of Obesity
- Published
- 2026-01-07
- DOI
- https://doi.org/10.1038/s41366-025-02010-1
- Primary Topic
- Obesity, Physical Activity, Diet
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute for Health and Care Research
- NIHR Leicester Biomedical Research Centre