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Integrated Fat-Muscle Patterns Drive Sex-Specific Diabetes Risk: UK Biobank Evidence
Yifan Ma1, Ning Zhou1, Boya Yu1
1Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Harbin, Heilongjiang, China.
Diabetes
|July 17, 2026
Summary
This study reveals distinct body composition patterns linked to type 2 diabetes (T2D) risk. Generalized adiposity increases T2D risk, while leg lean mass and central leanness may offer protection, with sex-specific differences observed.
Area of Science:
- Metabolic Health
- Human Physiology
- Epidemiology
Background:
- Conventional obesity metrics fail to capture complex body composition.
- Integrated fat and lean tissue distribution is crucial for understanding metabolic disease.
- Sex-specific differences in body composition influence disease risk.
Purpose of the Study:
- To identify integrated body composition patterns.
- To evaluate sex-specific associations between these patterns and incident type 2 diabetes (T2D).
Main Methods:
- Principal Component Analysis (PCA) on 28 anthropometric, fat, lean, bone, and muscle strength traits in 258,500 UK Biobank participants.
- Cox, LASSO-penalized Cox, and Weighted Quantile Sum (WQS) regression models to assess T2D risk associations.
- Analysis of 33,636 incident T2D cases over an 11-year follow-up.
Main Results:
- Seven interpretable body composition patterns were identified.
- Generalized adiposity was linked to increased T2D risk in both sexes.
- Leg-dominant lean distribution was associated with lower T2D risk across sexes.
- Central leanness showed protective associations, particularly in women, with sex-specific nuances.
Conclusions:
- Multidimensional body composition patterns offer insights beyond traditional obesity measures.
- Fat-lean tissue configurations exhibit significant sex-specific associations with T2D risk.
- Targeting specific body composition patterns may aid in T2D prevention strategies.
