ArticleBMJ open2016
Anthropometric markers and their association with incident type 2 diabetes mellitus: which marker is best for prediction? Pooled analysis of four German population-based cohort studies and comparison with a nationwide cohort study.
Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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31 citing papers in PubMed.
- Higher Serum Testosterone Protects Against the Development of Type 2 Diabetes in Middle-Aged but Not Older Men.Diabetes, obesity & metabolism · 2026Article
- The Association Between Anthropometric Indices and Type 2 Diabetes Mellitus Among Adults: A Cross-Sectional Analysis From the Population-Based Bandare Kong Cohort Study.Health science reports · 2026Article
- TyG-WHtR predicts incident type 2 diabetes mellitus in NAFLD: a 12-year prospective cohort study.Frontiers in endocrinology · 2026Article
- A comparison of anthropometric indicators in predicting the incidence of diabetes and intermediate hyperglycaemia in Finland: a 22-year observational study.BMC public health · 2025Observational
- Sex- and age-specific determinants of diabetes: Insights from BKMR and cox modelling of metabolic and lifestyle risk factors in a Korean cohort.Diabetes, obesity & metabolism · 2025Article
- Cohort profile of the Heidelberg study on diabetes and complications HEIST-DiC.Scientific reports · 2025Article
- Body composition markers are more strongly associated with type 2 diabetes than inflammatory markers-Results from the study of health in Pomerania.European journal of clinical investigation · 2025Article
- Association of Anthropometric Parameters with Elevated Fasting Blood Sugar among Filipino Adults Aged 18-65 years in Highly Urbanized Cities in the Philippines.Acta medica Philippina · 2025Article
- Novel anthropometric indices for predicting type 2 diabetes mellitus.BMC public health · 2024Article
- Deep learning to estimate impaired glucose metabolism from Magnetic Resonance Imaging of the liver: An opportunistic population screening approach.PLOS digital health · 2024Article
- Assessing temporal differences in the predictive power of baseline TyG-related parameters for future diabetes: an analysis using time-dependent receiver operating characteristics.Journal of translational medicine · 2023Article
- Inverse Correlation of Superoxide Dismutase and Catalase with Type 2 Diabetes among Rural Thais.Nutrients · 2023Article
- Patterns of change in obesity indices and other cardiometabolic risk factors before the diagnosis of type 2 diabetes: two decades follow-up of the Tehran lipid and glucose study.Journal of translational medicine · 2022Article
- Translation and Validation of American Diabetes Association Diabetes Risk Test: The Malay Version.The Malaysian journal of medical sciences : MJMS · 2022Article
- Association of obesity profiles with type 2 diabetes in Chinese adults: Findings from the China health and nutrition survey.Frontiers in nutrition · 2022Article
- Association Between Some Different Obesity Anthropometric Indices and Type 2 Diabetes Mellitus in Middle-Aged and Elderly Chinese Men and Women in Beijing, China: A Cross-Sectional Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022Article
- Accuracy of obesity indices alone or in combination for prediction of diabetes: A novel risk score by linear combination of general and abdominal measures of obesity.Caspian journal of internal medicine · 2022Article
- Assessing temporal differences of baseline body mass index, waist circumference, and waist-height ratio in predicting future diabetes.Frontiers in endocrinology · 2022Article
- Comparison of Body Mass Index and Waist Circumference in the Prediction of Diabetes: A Retrospective Longitudinal Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2021Article
- Comparison of anthropometric and body composition indices in the identification of metabolic risk factors.Scientific reports · 2021Article
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18 authors.
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Abstract
objectiveTo compare the association between different anthropometric measurements and incident type 2 diabetes mellitus (T2DM) and to assess their predictive ability in different regions of Germany.
methodsData of 10,258 participants from 4 prospective population-based cohorts were pooled to assess the association of body weight, body mass index (BMI), waist circumference (WC), waist-to-hip-ratio (WHR) and waist-to-height-ratio (WHtR) with incident T2DM by calculating HRs of the crude, adjusted and standardised markers, as well as providing receiver operator characteristic (ROC) curves. Differences between HRs and ROCs for the different anthropometric markers were calculated to compare their predictive ability. In addition, data of 3105 participants from the nationwide survey were analysed separately using the same methods to provide a nationally representative comparison.
resultsStrong associations were found for each anthropometric marker and incidence of T2DM. Among the standardised anthropometric measures, we found the strongest effect on incident T2DM for WC and WHtR in the pooled sample (HR for 1 SD difference in WC 1.97, 95% CI 1.75 to 2.22, HR for WHtR 1.93, 95% CI 1.71 to 2.17 in women) and in female DEGS participants (HR for WC 2.24, 95% CI 1.91 to 2.63, HR for WHtR 2.10, 95% CI 1.81 to 2.44), whereas the strongest association in men was found for WHR among DEGS participants (HR 2.29, 95% CI 1.89 to 2.78). ROC analysis showed WHtR to be the strongest predictor for incident T2DM. Differences in HR and ROCs between the different markers confirmed WC and WHtR to be the best predictors of incident T2DM. Findings were consistent across study regions and age groups (<65 vs ≥ 65 years).
conclusionsWe found stronger associations between anthropometric markers that reflect abdominal obesity (ie, WC and WHtR) and incident T2DM than for BMI and weight. The use of these measurements in risk prediction should be encouraged.
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