Literature DB >> 22443062

[Relationship between adiposity indicators and blood pressure of urban and rural residents in China].

Yuxia Ma1, Bing Zhang, Huijun Wang, Wenwen Du, Chang Su, Fengying Zhai.   

Abstract

OBJECTIVE: To explore the relationship between adiposity and blood pressure (BP)of urban and rural residents in China.
METHODS: The data in the China Health and Nutrition survey (CHNS) in 2006 were utilized. Cross-sectional analysis was carried out on the relationship between blood pressure and body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) among 6433 adult inhabitants aged 18-60 from 9 provinces of China. A multiple regression equation was used for the prediction of blood pressure with these indicators.
RESULTS: The average SBP and DBP were increased linearly with the increase of BMI, WC, WHR and WHtR. A statistically significant linear association was found between each adiposity indicator and BP level in separate regression models controlled by age. The regression coefficients were higher in women than that in men. A gain of 0.77 in BMI, 2.43 cm in WC, 2.66% in WHR and 1.54% in WHtR for men and a gain of 0.75, 2.12 cm, 2.54% and 1.53% respectively for women would have a corresponding elevation of 1 mmHg in SBP. Multiple stepwise regression analyses showed that DBP was related with WHtR.
CONCLUSION: There was a stable linear relationship between adiposity indicators and BP. WHtR not a good predicator of SBP and DBP in Chinese adults.

Entities:  

Mesh:

Year:  2012        PMID: 22443062

Source DB:  PubMed          Journal:  Wei Sheng Yan Jiu        ISSN: 1000-8020


  2 in total

1.  Survey on Physical Fitness and Cardiovascular Function of the City Elderly in Different Regular Physical Activities in China.

Authors:  L Chen; S Wang; J C Xu
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

2.  Association of Anthropometric Indices of Obesity with Hypertension in Chinese Elderly: An Analysis of Age and Gender Differences.

Authors:  Qian Wang; Lingzhong Xu; Jiajia Li; Long Sun; Wenzhe Qin; Gan Ding; Jing Zhu; Jiao Zhang; Zihang Yu; Su Xie
Journal:  Int J Environ Res Public Health       Date:  2018-04-19       Impact factor: 3.390

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.