Higher Cardiorespiratory Fitness Is Associated With a Lower Burden of Metabolic Syndrome Traits: A Cross‐Sectional Analysis of 39 197 UK Adults
AIMS: To investigate associations of cardiorespiratory fitness (CRF) with metabolic syndrome (MetS) trait count, MetS prevalence and individual MetS traits in a large population-based cohort. MATERIALS AND METHODS: ; 31% female). CRF was estimated as peak oxygen uptake from submaximal treadmill or cycle ergometer protocols and analysed continuously and as sex- and mode-specific quintiles. MetS was defined using established criteria, with outcomes examined as trait count (0-5), presence (≥ 3 traits) and individual traits. Associations were assessed using negative binomial regression for trait count and Poisson regression for MetS presence. Models were sequentially adjusted for demographics (primary model), adiposity (BMI) and hepatic steatosis (fatty liver index [FLI]). RESULTS: higher CRF was associated with a 2.9% lower MetS trait count and 6.0% lower MetS prevalence (p < 0.001). Compared with the highest CRF quintile, the lowest quintile had a 2.4-fold higher MetS trait count and 5.4-fold higher MetS prevalence (p < 0.001). Associations persisted after BMI and FLI adjustment, although attenuated. Spline analyses demonstrated graded, non-linear inverse associations, steepest at lower CRF levels. Higher CRF was inversely associated with all individual MetS traits, strongest for central obesity. CONCLUSIONS: Higher CRF was associated with lower metabolic risk burden and MetS prevalence, which remained after adjustment for adiposity-related measures. These findings support the potential public health relevance of modest fitness improvements, particularly among the least fit adults, as a strategy that may help reduce MetS burden even when adiposity changes are limited.
Authors
- Gaël Ennequin (ORCID: https://orcid.org/0000-0003-4485-0800)
- James A. King (ORCID: https://orcid.org/0000-0002-8174-9173)
- Scott A. Willis (ORCID: https://orcid.org/0000-0001-8624-1427)
- Christopher J. A. Pugh (ORCID: https://orcid.org/0000-0002-5932-4793)
- Alexis Couret (ORCID: https://orcid.org/0009-0004-8030-2419)
- Christopher Goodwin
- Kevin Deighton (ORCID: https://orcid.org/0000-0001-7994-2137)
- Guruprasad P. Aithal
- Daniel J. Cuthbertson
- David J. Stensel (ORCID: https://orcid.org/0000-0001-9119-8590)
- Jonathan G. Stine
- Shelley E. Keating
- Annalena Phillipp
- Thomas Yates
Institutions
- Nottingham University Hospitals NHS Trust (GB)
- German Sport University Cologne (DE)
- University of Nottingham (GB)
- Loughborough University (GB)
- University of Liverpool (GB)
- Waseda University (JP)
- University of Leicester (GB)
- The University of Queensland (AU)
- King's College London (GB)
- Université Clermont Auvergne (FR)
- Aintree University Hospitals NHS Foundation Trust (GB)
- University Hospitals of Leicester NHS Trust (GB)
- University of Clermont Auvergne (FR)
- Nuffield Health (GB)
- NIHR Nottingham Digestive Diseases Biomedical Research Unit (GB)
- Nottingham Biomedical Research Centre (GB)
- NIHR Leicester Biomedical Research Centre (GB)
- Penn State Milton S. Hershey Medical Center (US)
Publication Details
- Journal
- Diabetes Obesity and Metabolism
- Published
- 2026-09-17
- DOI
- https://doi.org/10.1111/dom.71367
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- NIHR Leicester Biomedical Research Centre
- NIHR Nottingham Biomedical Research Centre