Literature DB >> 28590139

Prehypertension and its optimal indicator among adults in Hubei Province, Central China, 2013-2015.

Mengdi Ma1, Xiaodong Tan1, Shuzhen Zhu2.   

Abstract

BACKGROUND: Hypertension accounts for 7% of the annual global disease burden, despite great efforts to counter this trend. Thus, interventions targeted at prehypertension might lead to a breakthrough for hypertension prevention. This study focused on the prevalence of prehypertension among adults in Central China and the best indicator of prehypertension, which would provide the basis for future interventions.
METHODS: This cross-sectional study was conducted using multistage stratified random sampling in seven counties in Hubei Province. Data from 30,634 survey respondents were analyzed using logistic regression and receiver operating characteristic (ROC) curve statistical tests, for the prevalence of prehypertension and the predictive ability of body mass index (BMI), waist-to-height ratio (WHtR), and waist circumference (WC) for prehypertension.
RESULTS: The prevalence of prehypertension in adults was 42.2%. The following factors contributed to the risk of prehypertension: male sex, elder age, divorce/separation, drinking, heavy labor intensity, and high BMI (p < 0.05). Being a farmer and exercise exhibited positive associations with prehypertension (p < 0.05). Compared with BMI and WHtR, WC had a higher predictive value for prehypertension (area under ROC curve, AUC = 0.630, 95% confidence interval: 0.623-0.637, p < 0.0001), especially for men. The optimal cutoffs of WC for prehypertension were 79.95 cm in men and 76.85 cm in women.
CONCLUSIONS: The prehypertension rate in adults was high in Central China. Significant factors related to hypertension were identified. More interventions targeting individuals with WC above the cutoff level are needed for timely awareness of prehypertension and early prevention of hypertension.

Entities:  

Keywords:  Central China; indicator; intervention; prehypertension; risk factor; waist circumference

Mesh:

Year:  2017        PMID: 28590139     DOI: 10.1080/10641963.2017.1281948

Source DB:  PubMed          Journal:  Clin Exp Hypertens        ISSN: 1064-1963            Impact factor:   1.749


  7 in total

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Journal:  Int J Hypertens       Date:  2022-07-07       Impact factor: 2.434

2.  Comparison of adiposity indices in relation to prehypertension by age and gender: A community-based survey in Henan, China.

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Journal:  Clin Cardiol       Date:  2018-12-05       Impact factor: 2.882

3.  Independent and combined effects of triglyceride-glucose index on prehypertension risk: a cross-sectional survey in China.

Authors:  Hong Xie; Jian Song; Liangliang Sun; Xinxin Xie; Yehuan Sun
Journal:  J Hum Hypertens       Date:  2020-03-10       Impact factor: 3.012

4.  Risk factors for prehypertension and their interactive effect: a cross- sectional survey in China.

Authors:  Jian Song; Xue Chen; Yingying Zhao; Jing Mi; Xuesen Wu; Huaiquan Gao
Journal:  BMC Cardiovasc Disord       Date:  2018-09-15       Impact factor: 2.298

5.  Development and Validation of a Risk Score Screening Tool to Identify People at Risk for Hypertension in Shanghai, China.

Authors:  Qiyun Jiang; Dan Gong; Huiqi Li; Donglan Zhang; Suzhen Hu; Qinghua Xia; Hong Yuan; Peng Zhou; Yiying Zhang; Xing Liu; Mei Sun; Jun Lv; Chengyue Li
Journal:  Risk Manag Healthc Policy       Date:  2022-03-30

6.  Prediction of Prehypertenison and Hypertension Based on Anthropometry, Blood Parameters, and Spirometry.

Authors:  Byeong Mun Heo; Keun Ho Ryu
Journal:  Int J Environ Res Public Health       Date:  2018-11-16       Impact factor: 3.390

7.  Indicators of accumulated fat are stronger associated with prehypertension compared with indicators of circulating fat: A cross-sectional study.

Authors:  Susana Rivera-Mancía; Eloisa Colín-Ramírez; Raúl Cartas-Rosado; Oscar Infante; Jesús Vargas-Barrón; Maite Vallejo
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

  7 in total

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