ArticleDiabetology & metabolic syndrome2015
Anthropometric parameters and their associations with cardio-metabolic risk in Chinese working population.
Article in Diabetology & metabolic syndrome, 2015. 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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11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Discriminatory Capacity of Anthropometric Indices for Cardiovascular Disease in Adults: A Systematic Review and Meta-Analysis.Preventing chronic disease · 2020Pooled it
- The association between metabolic syndrome and anthropometric measurements in Iranian professional drivers: a cross-sectional analysis from shahroud drivers cohort study (SDCS).Journal of diabetes and metabolic disorders · 2025Article
- Body Mass Index and the Risk of Hypertension-Diabetes Comorbidity in Elderly Population: A Prospective Cohort in China.Global heart · 2025Observational
- Impact of Dietary Patterns on Metabolic Syndrome in Young Adults: A Cross-Sectional Study.Nutrients · 2024Article
- Long sedentary time is associated with worsened cardiometabolic risk factors among university employees in Eastern Ethiopia.Scientific reports · 2022Article
- Obesity Indices in relation to Lipid Abnormalities among Medical University Students in Zahedan, South-East of Iran.International journal of preventive medicine · 2019Article
- Using LMS tables to determine waist circumference and waist-to-height ratios in Colombian children and adolescents: the FUPRECOL study.BMC pediatrics · 2017Article
- LMS tables for waist circumference and waist-height ratio in Colombian adults: analysis of nationwide data 2010.European journal of clinical nutrition · 2016Article
- Article
- Association between parity and obesity patterns in a middle-aged and older Chinese population: a cross-sectional analysis in the Tongji-Dongfeng cohort study.Nutrition & metabolism · 2016Article
- The Role of Body Fat and Fat Distribution in Hypertension Risk in Urban Black South African Women.PloS one · 2016Article
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Authors and funding
7 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThere remains controversy regarding which of the anthropometric indicators best defines obesity. In this study, we compared the efficacy of using body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR) in the diagnosis of obesity and assessed their associations with diabetes, hypertension, and dyslipidemia in an urban working population in China.
methodsAnthropometric measurements, blood pressure, plasma lipids, fasting and 2-hour plasma glucose (PG) levels by a 75 gram oral glucose tolerance test (OGTT) were obtained from 2603 working Chinese who had no history of cardiovascular diseases or diabetes. Cardio-metabolic risk factors including high blood pressure, dyslipidemia, and glucose intolerance were evaluated. The diagnoses of overweight and obesity were based on the WHO definitions with BMI for general obesity and WC and WHR for central obesity.
resultsBased on BMI, WC and WHR, there were 31.3%, 16.6%, 35.2% of the studied subjects, respectively, being overweight and 2.0%, 5.6%, 9.2% being obese. Among women but not men, more overweight and obese subjects were diagnosed using WHR and WC. The number of cardio-metabolic risks was higher by WC criterion than BMI and WHR in the whole group (p <0.05) and female subjects (p <0.01). Comparing the three anthropometric indexes predicting hypertension, hyperglycemia, dyslipidemia and multiple cardio-metabolic risks, for women, it was WC having the largest areas under ROC curves (0.759, 0.746, 0.701 and 0.773 respectively); while in men, it was WC for hypertension, WHR for hyperglycemia, BMI for dyslipidemia and WC for multiple cardio-metabolic risks (areas under ROC curves were 0.658, 0.686, 0.618 and 0.695 respectively).
conclusionsAmong Chinese working population, the need of lower cutoff values to define overweight and obesity were observed. Central obesity indicator (WC) is the preferred measure to predict the presence of cardio-metabolic risk in Chinese female subjects.
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