ArticleDiabetology & metabolic syndrome2025
The combined impact of BMI and ABSI on all-cause mortality among American adults with diabetes.
Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- A Body Shape Index Shows Stronger Associations with Falls than BMI among Older Adults: Evidence from the NHATS Cohort.Gerontology · 2026Article
- Association of the atherogenic index of plasma and its integrative novel adiposity-based composites with all-cause and cardiovascular mortality in individuals with cardiovascular-kidney-metabolic syndrome: novel adiposity-derived AIP indices provide modest incremental prognostic information.Cardiovascular diabetology · 2026Article
- Secular Trends and Prognostic Value of the Body Shape Index in U.S. Adults.Obesity science & practice · 2026Article
- Associations of Lipid and Adiposity Indices with Vascular Aging Stages in a Multicenter Chinese Population.Current medical science · 2026Article
- Comparison Of Body Mass Index (BMI), an old modality for prediction of gestational diabetes, with the new formulas such as Body Adipose Index (BAİ), Adipose Percentage and Type a Body Fat Index (ABSI): a prospective cohort study.BMC pregnancy and childbirth · 2026Article
- Comparison of the predictive power of novel insulin resistance, lipid metabolism and obesity indices for the risk of developing dyslipidaemia in adults.BMC endocrine disorders · 2026Article
- Combining triglyceride‑glucose index and novel anthropometric measures to predict mortality risk in patients with T2DM: a prospective cohort study.BMC endocrine disorders · 2026Article
- A body shape index combined with the triglyceride-glucose index for cardiovascular risk prediction in overweight and obese Chinese adults.Frontiers in cardiovascular medicine · 2026Article
- Anthropometric indices and mortality in postmenopausal women: NHANES 1999-2018 evidence.BMC women's health · 2025Article
- Association of the triglyceride-glucose index combined with a body shape index with all-cause and cardiovascular mortality in individuals with cardiovascular-kidney-metabolic syndrome stage 0-3: findings from two prospective cohorts.Cardiovascular diabetology · 2025Observational
- Exploring the potential relationship between kidney disease index and cognitive dysfunction: a machine learning approach with NHANES data.BMC geriatrics · 2025Article
- Independent role of two novel abdominal fat indicators in chronic diarrhoea.Frontiers in medicine · 2025Article
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11 authors.
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Abstract
objectivePrevious studies have emphasized the independent effects of anthropometric indices-including body mass index (BMI), A Body Shape Index (ABSI), waist-to-height ratio (WHtR), body roundness index (BRI), and Conicity Index-on mortality. However, their combined impact, especially in diabetic populations with distinct obesity patterns, has been less frequently explored. This study investigates both the independent and combined effects of these anthropometric indices on mortality in diabetic Americans and compares their individual and combined diagnostic value.
methodsA nationally representative cohort study was conducted using NHANES data (2005-2018), including 6,572 diabetic adults. Weighted Cox proportional hazards models and restricted cubic splines were applied to evaluate the independent and combined associations of anthropometric indices (BMI, ABSI, WHtR, BRI, and Conicity Index) with all-cause mortality. The weighted receiver operating characteristic (ROC) curve was used to assess the diagnostic value of individual anthropometric indices and their combinations in predicting mortality.
resultsAmong all the anthropometric indices, ABSI exhibited the strongest independent association with all-cause mortality, outperforming other measures such as BMI, WHtR, BRI, and Conicity Index. A clear linear relationship was identified, with higher ABSI tertiles consistently linked to an increased risk of mortality. Notably, within each BMI tertile, ABSI effectively differentiated mortality risk, particularly in the highest tertile. Furthermore, ABSI demonstrated the highest predictive performance among individual metrics (weighted AUC = 0.653) and showed further improvement when combined with BMI (weighted AUC = 0.669).
conclusionBMI and ABSI collectively provide a comprehensive evaluation of mortality risk in diabetic populations, capturing the synergistic effects of general and central obesity. These findings highlight the importance of integrating BMI and ABSI into risk assessments to identify high-risk individuals and guide targeted interventions for reducing mortality.
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