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Surrogate Adiposity Markers and Mortality
Irfan Khan1,2,3,4,5, Michael Chong1,2,3, Ann Le1,2,3
1Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada.
JAMA Network Open
|September 20, 2023
Summary
Waist-to-hip ratio (WHR) strongly predicts mortality risk, outperforming body mass index (BMI) and fat mass index (FMI). Focusing on adiposity distribution, not just mass, is crucial for clinical health recommendations.
Area of Science:
- Epidemiology
- Public Health
- Genetics
Background:
- Body mass index (BMI) is a common measure of adiposity but has limitations in reflecting body composition and fat distribution.
- There is ongoing debate regarding the BMI threshold associated with the lowest mortality risk.
Purpose of the Study:
- To determine whether waist-to-hip ratio (WHR), fat mass index (FMI), or BMI has the most robust association with mortality.
- To compare the consistency of these adiposity measures in predicting mortality risk.
Main Methods:
- Utilized UK Biobank data (N=387,672) for observational and Mendelian randomization (MR) analyses.
- Included discovery and validation cohorts with incident deaths analyzed for all-cause and cause-specific mortality.
- Assessed associations between measured and genetically determined BMI, FMI, and WHR with mortality outcomes.
Main Results:
- Waist-to-hip ratio (WHR) demonstrated a linear association with all-cause mortality, while BMI and FMI showed J-shaped associations.
- Genetically determined WHR had a stronger association with all-cause mortality than genetically determined BMI.
- The association between genetically determined WHR and mortality was consistent regardless of measured BMI, and stronger in males.
Conclusions:
- Waist-to-hip ratio (WHR) is a superior predictor of mortality compared to BMI and FMI, showing the strongest and most consistent association.
- Clinical guidelines should prioritize assessing adiposity distribution (like WHR) over simple measures of adiposity mass (like BMI).
- These findings highlight the importance of fat distribution in understanding mortality risk.

