ArticlePloS one2016
Defining a BMI Cut-Off Point for the Iranian Population: The Shiraz Heart Study.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Optimal BMI cut-offs associated with cardiometabolic risks in Arab and Middle Eastern populations: a systematic review and meta-analysis.International journal of obesity (2005) · 2026Pooled it
- Role of gender in explaining metabolic syndrome risk factors in an Iranian rural population using structural equation modelling.Scientific reports · 2023Article
- Development of a genetic risk score for obesity predisposition evaluation.Molecular genetics and genomics : MGG · 2022Article
- Non-Alcoholic Fatty Liver Disease and Metabolic Syndrome in Women: Effects of Lifestyle Modifications.Journal of clinical medicine · 2022Article
- Effect of lifestyle modification for two years on obesity and metabolic syndrome components in elementary students: A community- based trial.Caspian journal of internal medicine · 2022Article
- The association between body mass index and risk of obstructive sleep apnea among patients with HIV.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2021Article
- Prioritising Risk Factors for Type 2 Diabetes: Causal Inference through Genetic Approaches.Current diabetes reports · 2018Review
- Waist circumference is a mediator of dietary pattern in Non-alcoholic fatty liver disease.Scientific reports · 2018Article
- Ability of dairy fat in inducing metabolic syndrome in rats.SpringerPlus · 2016Article
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7 authors.
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Abstract
In this study we evaluated and redefined the optimum body mass index (BMI) cut-off point for the Iranian population based on metabolic syndrome (MeS) risk factors. We further evaluated BMI cut-off points with and without waist circumference (WC) as a cofactor of risk and compared the differences. This study is part of the largest surveillance programs conducted in Shiraz, Iran, termed the Shiraz Heart study. Our study sample included subjects between the ages of 20 to 65 years old. After excluding pregnant women, those with missing data and those with comorbid disease, a total of 12283 made up the study population. The participants underwent a series of tests and evaluations by trained professionals in accordance with WHO recommendations. Hypertension, abnormal fasting blood sugar (FBS), triglyceride (TG) and high density lipoprotein cholesterol (HDL) (in the context of the definition of metabolic syndrome) were prevalent among 32.4%, 27.6%, 42.1 and 44.2% of our participants, respectively. Women displayed higher rates of overall obesity compared to men (based on the definition by the WHO as higher than 30 kg/m2). Regarding MeS, 38.9% of our population had the all symptoms of MeS which was more prevalent among women (41.5% vs. 36%). When excluding WC in the definition of MeS, results showed that males tend to show a higher rate of metabolic risk factors (19.2% vs. 15.6%). Results of multivariate analysis showed that parallel to an increase in BMI, the odds ratio (OR) for acquiring each component of the metabolic syndrome increased (OR = 1.178; CI: 1.166-1.190). By excluding WC, the previous OR decreased (OR = 1.105; CI: 1.093-1.118). Receiver Operating Characteristic (ROC) curve analysis showed that the optimum BMI cut-off point for predicting metabolic syndrome was 26.1 kg/m2 and 26.2 kg/m2 [Accuracy (Acc) = 69% and 61%, respectively)] for males and females, respectively. The overall BMI cut-off for both sexes was 26.2 kg/m2 (Acc = 65%) with sensitivity and specificity of 69% and 62%, respectively. This cut-off had a positive predictive value of 54% and a negative predictive value of 76%. When we excluded waist circumference, the optimum BMI cut-off for acquiring metabolic risk factors in males decreased to 25.7 kg/m2 (Acc = 67%) and increased for women to 27.05 kg/m2 (Acc = 66%). Iranians are at higher risks of morbidity related to metabolic factors at a lower BMI cut-off and prompt action and preventive health policy are required to prevent and educate Iranians regarding diseases associated with obesity.
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