Surrogate Adiposity Markers and Mortality

Author:

Khan Irfan12345,Chong Michael123,Le Ann123,Mohammadi-Shemirani Pedrum123,Morton Robert123,Brinza Christina1236,Kiflen Michel1237,Narula Sukrit12348,Akhabir Loubna123,Mao Shihong123,Morrison Katherine1910,Pigeyre Marie123,Paré Guillaume1234

Affiliation:

1. Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada

2. Thrombosis and Atherosclerosis Research Institute, David Barley Cardiac, Vascular and Stroke Research, Hamilton, Ontario, Canada

3. Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada

4. Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada

5. College of Medicine and Health, University College Cork, Cork, Ireland

6. School of Medicine, Queen’s University, Kingston, Ontario, Canada

7. Temerty Faculty of Medicine, University of Toronto, Medical Sciences Building, Toronto, Ontario, Canada

8. Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut

9. Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada

10. Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, Ontario, Canada

Abstract

ImportanceBody mass index (BMI) is an easily obtained adiposity surrogate. However, there is variability in body composition and adipose tissue distribution between individuals with the same BMI, and there is controversy regarding the BMI associated with the lowest mortality risk.ObjectiveTo evaluate which of BMI, fat mass index (FMI), and waist-to-hip (WHR) has the strongest and most consistent association with mortality.Design, Setting, and ParticipantThis cohort study used incident deaths from the UK Biobank (UKB; 2006-2022), which includes data from 22 clinical assessment centers across the United Kingdom. UKB British participants of British White ancestry (N = 387 672) were partitioned into a discovery cohort (n = 337 078) and validation cohort (n = 50 594), with the latter consisting of 25 297 deaths and 25 297 controls. The discovery cohort was used to derive genetically determined adiposity measures while the validation cohort was used for analyses. Exposure-outcome associations were analyzed through observational and mendelian randomization (MR) analyses.ExposuresBMI, FMI, and WHR.Main Outcomes and MeasuresAll-cause and cause-specific (cancer, cardiovascular disease [CVD], respiratory disease, or other causes) mortality.ResultsThere were 387 672 and 50 594 participants in our observational (mean [SD] age, 56.9 [8.0] years; 177 340 [45.9%] male, 210 332 [54.2%], female), and MR (mean [SD] age, 61.6 [6.2] years; 30 031 [59.3%] male, 20 563 [40.6%], female) analyses, respectively. Associations between measured BMI and FMI with all-cause mortality were J-shaped, whereas the association of WHR with all-cause mortality was linear using the hazard ratio (HR) scale (HR per SD increase of WHR, 1.41 [95% CI, 1.38-1.43]). Genetically determined WHR had a stronger association with all-cause mortality than BMI (odds ratio [OR] per SD increase of WHR, 1.51 [95% CI, 1.32-1.72]; OR per SD increase of BMI, 1.29 [95% CI, 1.20-1.38]; P for heterogeneity = .02). This association was stronger in male than female participants (OR, 1.89 [95% CI, 1.54-2.32]; P for heterogeneity = .01). Unlike BMI or FMI, the genetically determined WHR–all-cause mortality association was consistent irrespective of observed BMI.Conclusions and RelevanceIn this cohort study, WHR had the strongest and most consistent association with mortality irrespective of BMI. Clinical recommendations should consider focusing on adiposity distribution compared with mass.

Publisher

American Medical Association (AMA)

Subject

General Medicine

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