Literature DB >> 32203072

Association of 6-year waist-circumference change with progression from prehypertension to hypertension: the Rural Chinese Cohort Study.

Pei Qin1, Qing Chen2, Tieqiang Wang3, Xiaoliang Chen3, Yang Zhao4, Quanman Li4, Qionggui Zhou1, Chunmei Guo3, Dechen Liu1,2,3,4, Gang Tian2, Xiaoyan Wu1, Ranran Qie2, Minghui Han2, Shengbing Huang2, Leilei Liu4, Yang Li1, Dongsheng Hu1,2,3,4, Ming Zhang5.   

Abstract

Whether dynamic change in waist circumference is associated with progression from prehypertension to hypertension is not well understood. We explored this issue. A total of 4221 prehypertensive adults ≥18 years were enrolled during 2007-2008 and followed up during 2013-2014. Participants were classified by percentage waist-circumference change at follow-up: ≤-2.5, -2.5 to ≤2.5, 2.5 to ≤5.0, and >5.0%. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated with logistic regression models, with stable waist-circumference change (-2.5 to 2.5%) as the reference. During the 6 years of follow-up, 1464 prehypertensive patients (851 women) showed progression to hypertension, with an incidence rate of 32.7% for men and 36.3% for women. As compared with stable waist circumference, a waist-circumference gain > 5.0% was associated with increased hypertension risk: adjusted ORs (95% CI) were 1.08 (1.01-1.14) for men and 1.09 (1.04-1.15) for women. The risk also decreased significantly for men with ≥2.5% waist-circumference loss (OR = 0.94, 95% CI 0.88-1.00). We found a linear association between percentage waist-circumference gain and risk of progression from prehypertension to hypertension for both sexes by restricted cubic splines (pnonlinearity = 0.772 for men and 0.779 for women). For each 10% gain in waist circumference, the risk increased by 8% for men and 5% for women. The association remained significant for both sexes in a subgroup analysis by abdominal obesity at baseline. The long-term gain in waist circumference significantly increased the risk of progression from prehypertension to hypertension for both sexes in a rural Chinese population, regardless of abdominal obesity status at baseline.

Entities:  

Year:  2020        PMID: 32203072     DOI: 10.1038/s41371-020-0322-8

Source DB:  PubMed          Journal:  J Hum Hypertens        ISSN: 0950-9240            Impact factor:   3.012


  3 in total

Review 1.  Prehypertension: a meta-analysis of the epidemiology, risk factors, and predictors of progression.

Authors:  Xiaofan Guo; Liling Zou; Xingang Zhang; Jue Li; Liqiang Zheng; Zhaoqing Sun; Jian Hu; Nathan D Wong; Yingxian Sun
Journal:  Tex Heart Inst J       Date:  2011

2.  [A prospective study on the association between dynamic change of waist circumference and incident hypertension].

Authors:  Wen-shu Luo; Zhi-rong Guo; Xiao-shu Hu; Zheng-yuan Zhou; Ming Wu; Li-jun Zhang; Jing-chao Liu
Journal:  Zhonghua Liu Xing Bing Xue Za Zhi       Date:  2012-01

3.  Comparison of the Suitability of 2 Years Change in Waist Circumference and Body Mass Index in Predicting Hypertension Risk: A Prospective Study in Chinese-Han.

Authors:  Wenshu Luo; Fengmei Chen; Zhirong Guo; Ming Wu; Chao Hao; Zhengyuan Zhou; Xingjuan Yao
Journal:  Iran J Public Health       Date:  2014-09       Impact factor: 1.429

  3 in total
  3 in total

1.  C-Reactive Protein Levels in relation to Incidence of Hypertension in Chinese Adults: Longitudinal Analyses from the China Health and Nutrition Survey.

Authors:  Bo Chen; Yuze Cui; Mengyun Lei; Wenlei Xu; Qiongjie Yan; Xiaotong Zhang; Minghui Qin; Shaoyong Xu
Journal:  Int J Hypertens       Date:  2021-12-10       Impact factor: 2.420

2.  Associations of the baseline level and change in glycosylated hemoglobin A1c with incident hypertension in non-diabetic individuals: a 3-year cohort study.

Authors:  Lijuan Liu; Donghu Zhen; Songbo Fu; Weiming Sun; Hongli Li; Nan Zhao; Lijie Hou; Xulei Tang
Journal:  Diabetol Metab Syndr       Date:  2022-04-18       Impact factor: 5.395

3.  Hypertriglyceridemic-waist phenotype is strongly associated with cardiovascular risk factor clustering in Chinese adolescents.

Authors:  Rongrong Cai; Jinyu Zhou; Ling Bai; Yangyang Dong; Wenqing Ding
Journal:  Sci Rep       Date:  2022-09-14       Impact factor: 4.996

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.