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Therefore, we aimed to compare the performance of different adiposity indices [BMI (body mass index), WC (waist circumference), WHtR (waist-to-height ratio), ABSI (a body shape index), VAI (visceral adipose index), BFP (body fat percentage)] as associates and potential predictors of risk of hypertension among Chinese population.<\/jats:p>\n<\/jats:sec><jats:sec>\n<jats:title>Methods<\/jats:title>\n<jats:p>A cross-sectional survey was conducted in Jiangxi province, China from 2013 to 2014. A total of 14,573 participants were included in the study. The physical measurements included body height, weight, WC, BFP and VAI. Multivariate logistic regression analysis was performed to assess the associations between different adiposity indices and the prevalence of hypertension. Receiver operating characteristic (ROC) analysis was also performed.<\/jats:p>\n<\/jats:sec><jats:sec>\n<jats:title>Results<\/jats:title>\n<jats:p>All adiposity indices were independently and positively associated with the prevalence of hypertension in a dose response fashion. The area under the curves (AUCs) for WHtR, BFP and VAI were significantly larger than those for other adiposity indices in both males and females (all <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.01). For males, no statistically significant difference was found in AUCs among WHtR and BFP (0.653 vs. 0.647, <jats:italic>P<\/jats:italic>\u2009=\u20090.4774). The AUC of WHtR was significantly higher than VAI (0.653 vs. 0.636, <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.01). For females, the AUCs demonstrated that WHtR was significantly more powerful than BFP and VAI (both <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.05) for predicting hypertension [WHtR, 0.689 (0.677\u20130.702); BFP, 0.677 (0.664\u20130.690); VAI, 0.668 (0.655\u20130.680)]. Whereas no significant differences were found in AUCs for hypertension among BFP and VAI in both sexes (all <jats:italic>P<\/jats:italic>\u2009&gt;\u20090.1). The AUCs for hypertension associated with each adiposity index declined with age in both males and females. For subjects aged &lt;\u200965\u2009years, WHtR still had the largest AUC. However, for participants aged \u226565\u2009years, BMI had the largest AUC.<\/jats:p>\n<\/jats:sec><jats:sec>\n<jats:title>Conclusion<\/jats:title>\n<jats:p>The findings indicated that WHtR was the best for predicting hypertension, followed by BFP and VAI, especially in younger population.<\/jats:p>\n<\/jats:sec>","DOI":"10.1186\/s12872-020-01388-2","type":"journal-article","created":{"date-parts":[[2020,3,5]],"date-time":"2020-03-05T13:02:52Z","timestamp":1583413372000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Different adiposity indices and their associations with hypertension among Chinese population from Jiangxi province"],"prefix":"10.1186","volume":"20","author":[{"given":"Lihua","family":"Hu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guiping","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunjiao","family":"You","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juxiang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ping","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanqing","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qinghua","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zengwu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Runlin","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huihui","family":"Bao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7445-1988","authenticated-orcid":false,"given":"Xiaoshu","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,3,5]]},"reference":[{"key":"1388_CR1","doi-asserted-by":"publisher","first-page":"1151","DOI":"10.1016\/S0140-6736(17)32152-9","volume":"390","author":"GBD 2016 Causes of Death Collaborators","year":"2017","unstructured":"GBD 2016 Causes of Death Collaborators. 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Written informed consent was obtained from each participant. If individuals were younger than the age of 18, written informed consent was obtained from their parents or legal guardians.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Written informed consent for publication of clinical details and\/or clinical images was obtained from the all of the participants. If individuals were younger than the age of 18, consent for publication was obtained from their parents or legal guardians.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"115"}}