ArticleBMC geriatrics2022
Association of body mass index and waist circumference with type 2 diabetes mellitus in older adults: a cross-sectional study.
Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed, 34 citations in OpenAlex.
- Type 2 diabetes-associated gut microbial composition and short chain fatty acids differ across the epidemiologic transition in African origin populations.Gut microbes reports · 2027Article
- Comparison of anthropometric indicators for assessing current type 2 diabetes risk in adult patients.BMC endocrine disorders · 2026Observational
- Glycemic load, glycemia, and self-reported diabetes mellitus in community-dwelling older adults: a 24-hour dietary recall-based assessment.Journal of diabetes and metabolic disorders · 2025Article
- The ability of anthropometric indices in detecting type 2 diabetes mellitus in Sudanese adults: a cross-sectional study.Scientific reports · 2025Article
- Examining gender, BMI, and lifestyle factors as indicators of type 2 diabetes risk in the Ukrainian population.Endocrine · 2025Article
- Variation in effectiveness of the NHS Diabetes Prevention Programme in people diagnosed with non-diabetic hyperglycaemia by age, sex, BMI, and deprivation: A matched cohort analysis of 69,801 people.Diabetic medicine : a journal of the British Diabetic Association · 2025Article
- Evaluating Anthropometric Indices for Malnutrition Assessment in Older Adults: Scoping Review.Current nutrition reports · 2025Review
- CUN-BAE adiposity index prediction of incident type 2 diabetes: the Seguimiento Universidad de Navarra prospective cohort.The journal of nutrition, health & aging · 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
- Associations of four obesity indices with diabetes mellitus in Korean middle-aged and older adults using the Korean Genome and Epidemiology Study (KoGES).BMC public health · 2025Article
- Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches.BMC medical informatics and decision making · 2025Article
- TEMR: Trans-ethnic mendelian randomization method using large-scale GWAS summary datasets.American journal of human genetics · 2025Article
- Assessment of Risk of Diabetes Among Indian Population Aged ≥45 Years: Evidence from Longitudinal Aging Study in India.International journal of preventive medicine · 2025Article
- Evaluation of diabetes care parameters in patients with diabetes: A population-based cross-sectional study in Khuzestan province (southwest of Iran).Journal of diabetes and metabolic disorders · 2024Article
- The joint effect of cumulative metabolic parameters on the risk of type 2 diabetes: a population-based cohort study.Nutrition & metabolism · 2024Article
- Apolipoprotein E E3/E4 genotype is associated with an increased risk of type 2 diabetes mellitus complicated with coronary artery disease.BMC cardiovascular disorders · 2024Article
- The relationship between the CUN-BAE body fatness index and incident diabetes: a longitudinal retrospective study.Lipids in health and disease · 2023Article
- Association of the Clínica Universidad de Navarra-Body Adiposity Estimator With Type 2 Diabetes: A Retrospective Cohort Study.International journal of public health · 2023Article
- Do Body Composition and Values of Selected Nutritional Status Indices Influence the Glycaemic Index Values of Vegetarian Dishes? A Pilot Study in a Group of Older Women.International journal of environmental research and public health · 2022Article
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5 authors at 1 institution in 1 country.
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Abstract
backgroundThe prevalence of obesity and diabetes is rising. The aim of this study was to determine the association of body mass index (BMI) and waist circumference (WC) with type 2 diabetes mellitus (T2DM) in the elderly and to compare the discriminatory abilities of BMI, WC and other anthropometric indicators, including waist-to-height ratio (WHtR), body adiposity estimator (BAE) and body roundness index (BRI) for T2DM.
methodsThis cross-sectional study included 69,388 subjects aged ≥ 60 years living in Xinzheng, Henan Province, from January to December 2020. The data came from the residents' electronic health records of the Xinzheng Hospital Information System. Logistic regression was used to examine the relationships. Fully adjusted models adjusted for age, sex, place of residence, alcohol consumption, smoking, physical exercise, SBP and RHR. The area under the receiver operating characteristic curve (AUC) was used to compare the discriminatory ability of different anthropometric indicators for T2DM under the influence of potential risk factors.
resultsAfter adjusting for multiple covariates, compared with the first BMI quintile, the odds ratios (ORs) and 95% confidence intervals (CIs) from the second to fifth quintile for T2DM were 1.416 (1.335-1.502), 1.664 (1.570-1.764), 1.879 (1.774-1.990) and 2.156 (2.037-2.283), respectively. Compared with the first WC quintile, the ORs and 95% CIs from the second to fifth quintiles for T2DM were 1.322 (1.244-1.404), 1.549 (1.459-1.643), 1.705 (1.609-1.807) and 2.169 (2.048-2.297), respectively. Among men, compared with other anthropometric indicators (BMI, WHtR, BAE and BRI), WC showed the highest AUC (AUC: 0.629; 95% CI: 0.622-0.636). Among women, the AUCs of BMI (AUC: 0.600; 95% CI: 0.594-0.606), WC (AUC: 0.600; 95% CI: 0.593-0.606) and BAE (AUC: 0.600; 95% CI: 0.594-0.607) were similar, and the AUCs of BMI, WC and BAE were higher than WHtR, BRI.
conclusionsAll anthropometric indicators were positively associated with T2DM. In men, WC with the strongest positive association with T2DM was the best predictor of T2DM. In women, BMI was most strongly associated with T2DM, and the predictive powers of BMI, WC and BAE were similar. After adjusting the potential confounding factors including age, sex, place of residence, alcohol consumption, smoking, physical exercise, SBP and RHR, the effect of these factors was eliminated, the findings were independent of the covariates considered.
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