ArticleObesity (Silver Spring, Md.)2023
Associations and predictive performance of 11 anthropometric measures with incident type 2 diabetes: A prospective cohort study from the UK Biobank.
Article in Obesity (Silver Spring, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Association Between Visceral Obesity Index and Diabetes: A Systematic Review and Meta-analysis.The Journal of clinical endocrinology and metabolism · 2024Pooled it
- Shifts in waist-to-height ratio categories within tirzepatide groups: a post-hoc analysis of SURMOUNT-1.Journal of endocrinological investigation · 2026Trial
- Improving Short- and Long-Term Type 2 Diabetes Risk Prediction for Middle-Aged British Adults.Diabetes, obesity & metabolism · 2026Article
- Association Between a Body Shape Index and Epilepsy Among US Adults: Potential Indirect Pathway Through Depressive Symptoms.Brain and behavior · 2026Article
- Relation Between Adiposity Measures and the Risk of a Composite of Cardiovascular Events, Diabetes, and Cancer in Patients With Cardiovascular Disease.Clinical obesity · 2026Article
- Misclassification Bias in the Waist-To-Hip Ratio: Implications for Obesity-Related Risk of Incident Type 2 Diabetes.International journal of endocrinology · 2026Article
- Waist, waist-height-ratio vs body mass index and the risks of multiple diseases: a cohort study with replication.medRxiv : the preprint server for health sciences · 2025Article
- Changes in adiposity indices over 10 years and risk of type 2 diabetes: The Whitehall II cohort study.Diabetes, obesity & metabolism · 2025Article
- Longitudinal patterns of obesity index changes and risk of incident rheumatoid arthritis: evidence from a population-based cohort.Arthritis research & therapy · 2025Article
- Which adiposity index is best? Comparison of five indicators and their ability to identify type 2 diabetes risk in a population study.Diabetes research and clinical practice · 2025Article
- Associations of body size and morphology with cardiometabolic health in children: the contribution of genetic factors.Obesity (Silver Spring, Md.) · 2025Article
- Lipids as the link between central obesity and diabetes: perspectives from mediation analysis.BMC endocrine disorders · 2024Article
- Associations and predictive performance of 11 anthropometric measures with incident type 2 diabetes: A prospective cohort study from the UK Biobank.Obesity (Silver Spring, Md.) · 2023Article
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 3 countries.
Funding
Abstract
objectiveThe study aim was to investigate associations of 11 anthropometric measures with incident type 2 diabetes and compare their predictive performance.
methodsThis prospective cohort study included 161,127 White European UK Biobank participants who were free of diabetes at baseline. Anthropometric measures included height, weight, BMI, A Body Shape Index, waist circumference, waist to hip ratio, waist to height ratio (WHtR), hip circumference, visceral adiposity index, hip index, and anthropometric risk index. The associations were examined using Cox proportional hazard models. The differences in C-index were used to compare predictive performance between BMI and other anthropometric measures.
resultsThe median follow-up was 10.0 (interquartile range: 9.3-10.8) years, during which 6315 participants developed type 2 diabetes. All markers except height and hip index were positively associated with incident type 2 diabetes. The strongest associations were found for WHtR (hazard ratio per 1-SD increment: 2.27 [95% CI 2.19-2.35] in women; 1.96 [95% CI 1.90-2.01] in men). Compared with BMI, WHtR and anthropometric risk index had significantly better type 2 diabetes risk discrimination.
conclusionsAlthough most adiposity markers were associated with type 2 diabetes, the magnitude of the associations differed. WHtR had the strongest associations and predictive ability for type 2 diabetes and thus could be a more suitable marker for clinical use.
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