Body Mass Index-Specific Central Adiposity and Risk of Incident Type 2 Diabetes Among Aging Women

CONTEXT: Body mass index (BMI) does not capture central adiposity, which may provide additional information for type 2 diabetes (T2D) risk stratification. OBJECTIVE: To evaluate BMI-specific waist circumference (WC) categories in relation to incident T2D and assess their performance across independent cohorts. METHODS: Prospective analyses included 133,620 Women's Health Initiative (WHI) participants free of T2D at baseline, randomly assigned to training (70%; n=93,463) and test (30%; n=40,157) samples. External validation included the Health and Retirement Study (HRS; n=2,885) and Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS; n=1,037). Cox models estimated T2D risk across BMI and BMI-specific WC categories. Discrimination was assessed using Harrell's C-statistic. RESULTS: In WHI, T2D risk increased progressively across BMI categories (adjusted hazard ratios [HRs], 1.51-3.30) and joint BMI-WC categories (HRs, 1.40-4.43). Within BMI strata, higher WC generally identified greater T2D risk. Associations were directionally consistent in HRS and HANDLS. Age modified associations, with stronger gradients at younger ages, whereas race and ethnicity interactions were not statistically significant. Model discrimination was modest (C-statistics approximately 0.60-0.75). CONCLUSIONS: BMI-specific WC categories refine adiposity-related T2D risk stratification beyond BMI alone but provide modest individual-level discrimination. WC may complement BMI in identifying women warranting more comprehensive metabolic risk assessment rather than serving as a stand-alone T2D prediction tool.

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Journal
The Journal of Clinical Endocrinology & Metabolism
Published
2026-10-30
DOI
https://doi.org/10.1210/clinem/dgag443
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
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article
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article

Body Mass Index-Specific Central Adiposity and Risk of Incident Type 2 Diabetes Among Aging Women

Mara Z. Vitolins, Hind A. Beydoun, May A. Beydoun, Su Yon Jung et al.
The Journal of Clinical Endocrinology & Metabolism
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Body Mass Index-Specific Central Adiposity and Risk of Incident Type 2 Diabetes Among Aging Women

Mara Z. Vitolins, Hind A. Beydoun, May A. Beydoun, Su Yon Jung, Alan B. Zonderman, Philippe Jean-Luc Gradidge, Lesley Tinker, Faiza Kalam, JoAnn E. Manson, Thomas E. Rohan, Phyllis A. Richey, Mace Coday, Jack Tsai, Ting‐Yuan David Cheng, Michele K. Evans, Longjian Liu
article en

Abstract

CONTEXT: Body mass index (BMI) does not capture central adiposity, which may provide additional information for type 2 diabetes (T2D) risk stratification. OBJECTIVE: To evaluate BMI-specific waist circumference (WC) categories in relation to incident T2D and assess their performance across independent cohorts. METHODS: Prospective analyses included 133,620 Women's Health Initiative (WHI) participants free of T2D at baseline, randomly assigned to training (70%; n=93,463) and test (30%; n=40,157) samples. External validation included the Health and Retirement Study (HRS; n=2,885) and Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS; n=1,037). Cox models estimated T2D risk across BMI and BMI-specific WC categories. Discrimination was assessed using Harrell's C-statistic. RESULTS: In WHI, T2D risk increased progressively across BMI categories (adjusted hazard ratios [HRs], 1.51-3.30) and joint BMI-WC categories (HRs, 1.40-4.43). Within BMI strata, higher WC generally identified greater T2D risk. Associations were directionally consistent in HRS and HANDLS. Age modified associations, with stronger gradients at younger ages, whereas race and ethnicity interactions were not statistically significant. Model discrimination was modest (C-statistics approximately 0.60-0.75). CONCLUSIONS: BMI-specific WC categories refine adiposity-related T2D risk stratification beyond BMI alone but provide modest individual-level discrimination. WC may complement BMI in identifying women warranting more comprehensive metabolic risk assessment rather than serving as a stand-alone T2D prediction tool.

The Journal of Clinical Endocrinology & Metabolism
Brigham and Women's Hospital (US), Albert Einstein College of Medicine (US), United States Department of Veterans Affairs (US), Harvard University (US), University of Tennessee Health Science Center (US), University of California, Los Angeles (US), University of the Witwatersrand (ZA), Yale University (US), Fred Hutch Cancer Center (US), National Institute on Aging (US), UCLA Jonsson Comprehensive Cancer Center (US), Wake Forest University Health Sciences (US), Wake Forest University (US), The Ohio State University (US), Drexel University (US), The University of Texas Health Science Center at Houston (US)
Openalex Percentile: Top 10%
Diabetes, Cardiovascular Risks, and Lipoproteins
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