ArticleJournal of diabetes research2021
Evaluation of the Association between Obesity Markers and Type 2 Diabetes: A Cohort Study Based on a Physical Examination Population.
Article in Journal of diabetes research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 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
- Longitudinal association between visceral adiposity index and arthritis-diabetes comorbidity risk: A cohort study from CHARLS.Medicine · 2026Article
- Identification of BMI-related high-risk feature combinations for diabetes among young adults with normal baseline fasting plasma glucose using interpretable machine learning: a health check-up cohort study.Frontiers in endocrinology · 2026Article
- Associations Between Body Roundness Index and Cardiovascular Outcomes: A China Kadoorie Biobank Prospective Cohort Study.JACC. Asia · 2025Article
- Effects of Pilates exercise on glycated hemoglobin and fasting blood sugar in type 2 diabetes: a systematic review and meta-analysis.Journal of Korean biological nursing science · 2025Review
- Body Roundness Index and Risk of Gestational Diabetes Mellitus in Women of Reproductive Age: NHANES 2007-2018.International journal of women's health · 2025Article
- Association between body roundness index and advanced cardiovascular-kidney-metabolic syndrome.Frontiers in nutrition · 2025Article
- Impact of adiposity indices changes across the lifespan on risk of diabetes in women: trajectory modeling approach.BMC public health · 2024Article
- Association of body roundness index with diabetes and prediabetes in US adults from NHANES 2007-2018: a cross-sectional study.Lipids in health and disease · 2024Article
- The predictive significance of lipid accumulation products for future diabetes in a non-diabetic population from a gender perspective: an analysis using time-dependent receiver operating characteristics.Frontiers in endocrinology · 2023Article
- A Prediction Model of the Incidence of Type 2 Diabetes in Individuals with Abdominal Obesity: Insights from the General Population.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo evaluate the predictive effect of different obesity markers on the risk of developing type 2 diabetes in a population of healthy individuals who underwent physical examination and to provide a reference for the early detection of individuals at risk of diabetes.
methodsThis retrospective cohort study included 15206 healthy subjects who underwent a physical examination (8307 men and 6899 women). Information on the study population was obtained from the Dryad Digital Repository. Cox proportional risk models were used to calculate the hazard ratio (HR) and 95% confidence interval (CI) of different obesity markers, including the lipid accumulation index (LAP), body mass index (BMI), waist-to-height ratio (WHtR), visceral adiposity index (VAI), and body roundness index (BRI) on the development of type 2 diabetes. The effectiveness of each obesity marker in predicting the risk of developing type 2 diabetes was analyzed using the receiver operating characteristic curve (ROC curve) and the area under the curve (AUC).
resultsAfter a mean follow-up of 5.4 years, there were 372 new cases of type 2 diabetes. After correcting for confounding factors such as age, sex, smoking, alcohol consumption, exercise, and blood pressure, Cox proportional risk model analysis showed that elevations in BMI, LAP, WHtR, VAI, and BRI increased the risk of developing type 2 diabetes. The ROC curve results showed that LAP was the best predictor of the risk of developing diabetes, with an AUC (95% CI) of 0.759 (0.752-0.766), an optimal cutoff value of 16.04, a sensitivity of 0.72, and a specificity of 0.69.
conclusionAn increase in the BMI, LAP, WHtR, VAI, and BRI can increase the risk of developing type 2 diabetes, with LAP being the best predictor of this risk.
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