ArticleAnnals of Saudi medicine
Anthropometric predictors of incident type 2 diabetes mellitus in Iranian women.
Article in Annals of Saudi medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 37 citations in OpenAlex.
- 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
- Optimal cut-off points of anthropometric and body roundness indices associated with diabetes: Persian (Shahedieh) cohort study.Frontiers in nutrition · 2024Article
- The Relationship between Certain Parental/Household Socio-Economic Characteristics and Female Adolescent Obesity in Montenegro.Children (Basel, Switzerland) · 2023Article
- Sex influences the effect of adiposity on arterial stiffness and renin-angiotensin aldosterone system activity in young adults.Endocrinology, diabetes & metabolism · 2022Article
- Cost-effectiveness of community diabetes screening: Application of Akaike information criterion in rural communities of Nigeria.Frontiers in public health · 2022Article
- A 16-year prospective cohort study to evaluate effects of long-term fluctuations in obesity indices of prediabetics on the incidence of future diabetes.Scientific reports · 2021Article
- A Novel Indicator of Children's Lipid Accumulation Product Associated with Impaired Fasting Glucose in Chinese Children and Adolescents.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional Study.Journal of nutrition and metabolism · 2020Article
- Optimal cut-points of different anthropometric indices and their joint effect in prediction of type 2 diabetes: results of a cohort study.BMC public health · 2018Article
- Adiponectin gene variants and abdominal obesity in an Iranian population.Eating and weight disorders : EWD · 2017Article
- Is waist circumference a better predictor of diabetes than body mass index or waist-to-height ratio in Iranian adults?International journal of preventive medicine · 2015Article
- Evidence Gap on the Prevalence of Non-conventional Risk Factors for Type 2 Diabetes in Iran.Osong public health and research perspectives · 2014Article
- Prospective study of optimal obesity index cutoffs for predicting development of multiple metabolic risk factors: the Korean genome and epidemiology study.Journal of epidemiology · 2012Article
- San Antonio heart study diabetes prediction model applicable to a Middle Eastern population? Tehran glucose and lipid study.International journal of public health · 2010Article
- Diabetes prediction, lipid accumulation product, and adiposity measures; 6-year follow-up: Tehran lipid and glucose study.Lipids in health and disease · 2010Article
- Adult anthropometry in Type 2 diabetic population: A case-control study.Pakistan journal of medical sciencesArticle
- Evaluation of waist-to-height ratio as a predictor of insulin resistance in non-diabetic obese individuals. A cross-sectional study.Sao Paulo medical journal = Revista paulista de medicinaArticle
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Authors and funding
3 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivesStudies have shown a strong association between excess weight and risk of incident diabetes in Iranian women. Therefore, we investigated anthropometric indices in the prediction of diabetes in Iranian women. SUBJECTS AND
methodsWe examined 2801 females aged > or =20 years (mean [SD] age, 45.2 [12.9] years) in an Iranian urban population who were non-diabetic or had abnormal glucose tolerance at baseline. We estimated the predictive value of central obesity parameters (waist circumference [WC], waist-to-hip ratio [WHR], waist-to-height ratio [WHtR], body mass index [BMI]) in the prediction of diabetes. We classified each parameter in quartiles and compared the lowest with the highest quartile after adjusting for confounding variables, including age, hypertension, triglyceride levels, HDL-cholesterol, family history of diabetes, and abnormal glucose tolerance in a multivariate model. Receiver operator characteristic (ROC) curves were used to determine the predictive power of each variable.
resultsOver a median follow up of 3.5 years (11 months-6.3 years), 114 individuals developed diabetes (4.1%). The risk for developing diabetes was significantly higher for the highest quartile of BMI, WC, WHR and WHtR, respectively, compared to the lowest quartile, and the risk decreased but remained statistically significant when abnormal glucose tolerance was included in the multivariate model. WHtR had the highest area under the ROC curve.
conclusionsIn Iranian women, BMI, WC, WHR, WHtR were predictive of development of type 2 diabetes, but WHtR was a better predictor than BMI.
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