{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T16:58:29Z","timestamp":1792083509431,"version":"4.4.0"},"reference-count":30,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2023,3,27]],"date-time":"2023-03-27T00:00:00Z","timestamp":1679875200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Clinical Hypertension"],"published-print":{"date-parts":[[2023,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The association of adiposity indices with prehypertension remains unclear in the Chinese non\u2010hypertensive population. This study aimed to compare the association of adiposity indices, including waist circumference (WC), waist\u2010to\u2010height ratio, body roundness index (BRI), a body shape index (ABSI), and conicity index (CI), and prehypertension in the Chinese population. We recruited 61\u00a0475 participants from a population\u2010based screening project in Guangdong province, China. Multiple logistic regression analyses were performed to detect the association between the six adiposity indices and prehypertension. Receiver operator characteristic curve (ROC) analysis was used to evaluate the predictive values of adiposity indices to prehypertension. The individuals were divided into two categories by blood pressure (BP) levels: normotension\u00a0(&lt;120\/80\u00a0mmHg) and prehypertension (120\u2013139\/80\u201389\u00a0mmHg). A total of 33\u00a0233 people had prehypertension, with a prevalence of 54.04% and 42% males. Both logistics regression models presented a positive association between each adiposity index and prehypertension (<jats:italic>p<\/jats:italic>\u00a0&lt;\u00a0.05), except for ABSI. The body mass index (BMI) was slightly more correlated with prehypertension than any other index. The standardized ORs for the six indices were 1.392, 1.361, 1.406, 1.039, 1.372, and 1.151, respectively. Compared to other adiposity indices, the WC had a significantly higher area under the curve (AUC) for predicting prehypertension (AUC: .619, sensitivity: 57%, specificity: 60.6%). In conclusion, WC and BMI might be the best indicators for prehypertension. Increasing evidence supports avoiding obesity as a preferred primary prevention strategy for prehypertension while controlling other major hypertension risk factors.<\/jats:p>","DOI":"10.1111\/jch.14622","type":"journal-article","created":{"date-parts":[[2023,3,28]],"date-time":"2023-03-28T06:13:05Z","timestamp":1679983985000},"page":"470-479","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Association of adiposity indices with prehypertension among Chinese adults: A cross\u2010sectional study"],"prefix":"10.1111","volume":"25","author":[{"given":"Mengyuan","family":"Xiao","sequence":"first","affiliation":[{"name":"Department of Cardiovascular Medicine the First Affiliated Hospital of Jinan University  Guangzhou China"},{"name":"Department of Cardiovascular Medicine Center Affiliated Hospital of Guangdong Medical University  Zhanjiang China"},{"name":"Department of Cardiology Guangdong Cardiovascular Institute Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chaolei","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Cardiology Guangdong Cardiovascular Institute Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiabin","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Cardiology Guangdong Cardiovascular Institute Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anping","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Cardiology Guangdong Cardiovascular Institute Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Cardiology Guangdong Cardiovascular Institute Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangyan","family":"Liu","sequence":"additional","affiliation":[{"name":"Gerontology Center Affiliated Hospital of Guangdong Medical University  Zhanjiang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingqing","family":"Feng","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Medicine the First Affiliated Hospital of Jinan University  Guangzhou China"},{"name":"Department of Cardiology Guangdong Cardiovascular Institute Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences  Guangzhou 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