Association between anthropometric indicators of obesity and cardiovascular risk factors among adults in Shanghai, China
| Autor: | Na Wang, Nawi Ng, Weibing Wang, Yonggen Jiang, Ruiping Wang, Genming Zhao, Qi Zhao, Xiaoyan Zhou, Yi’an Gu, Yue Zhang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male China medicine.medical_specialty Waist 030209 endocrinology & metabolism Logistic regression Body Mass Index Young Adult 03 medical and health sciences 0302 clinical medicine Reference Values Epidemiology Anthropometric indices medicine Humans 030212 general & internal medicine Obesity Aged Waist-Height Ratio business.industry lcsh:Public aspects of medicine Public Health Environmental and Occupational Health lcsh:RA1-1270 Public Health Global Health Social Medicine and Epidemiology Odds ratio Middle Aged Anthropometry medicine.disease Folkhälsovetenskap global hälsa socialmedicin och epidemiologi Cross-Sectional Studies Cardiovascular diseases Risk factors Female Waist Circumference business Body mass index Dyslipidemia Research Article Demography |
| Zdroj: | BMC Public Health, Vol 19, Iss 1, Pp 1-9 (2019) BMC Public Health |
| Popis: | Background To determine the optimal cut-off values and evaluate the associations of body mass index (BMI), waist circumference (WC) and waist-height ratio (WHtR) with cardiovascular disease (CVD) risk factors. Methods A large-scale cross-sectional survey was conducted among 35,256 adults aged 20–74 years in Shanghai between June 2016 and December 2017. Receiver operating characteristic (ROC) analyses were conducted to assess the optimal cut-off anthropometric indices of CVD risk factors including hypertension, diabetes, dyslipidemia and hyperuricemia. Multivariate Logistic regression models were preformed to evaluate the odds ratio of CVD risk factors. Results The area under the curve (AUC) of WHtR was significantly greater than that of BMI or WC in the prediction of hypertension and diabetes, and AUCs were higher in women than men. The optimal cut-off values of WHtR were approximately 0.51 in both sexes, while the cut-off values of BMI and WC were higher for men compared with women. The optimal cutoff values of BMI and WC varied greatly across different age groups, but the difference in WHtR was relatively slight. Among women, the optimal threshold of anthropometric indices appeared to increase with age for hypertension and diabetes. The odds ratio between anthropometric indices and CVD risk factors were attenuated with age. WHtR had the greatest odds ratio for CVD risk factors among adults under 60 years old except for women with hypertension, while among 60–74 years, BMI yielded the greatest odds ratio in terms of all CVD outcomes except for women with diabetes. Conclusions WHtR had the best performance for discriminating hypertension and diabetes and potentially be served as a standard screening tool in public health. The associations between three anthropometric indices and CVD risk factors differed by sex and decreased with age. These findings indicated a need to develop age- and gender-specific difference and make effective strategies for primary prevention of CVDs. Electronic supplementary material The online version of this article (10.1186/s12889-019-7366-0) contains supplementary material, which is available to authorized users. |
| Databáze: | OpenAIRE |
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