Literature DB >> 28856830

Spousal concordance for hypertension: A meta-analysis of observational studies.

Zhancheng Wang1, Wenhui Ji2, Yanqiu Song1, Jin Li1, Yan Shen1, Hongchao Zheng3, Yueyou Ding3.   

Abstract

The authors performed a meta-analysis of observational studies to estimate the magnitude of spousal concordance for hypertension and to examine whether the concordance varied by important study methodological aspects. PubMed and Embase were searched up to June 2017 for cross-sectional, case-control, and cohort studies that investigated the concordance/association of hypertension between spouse pairs. A meta-analysis with random-effects models was performed by pooling adjusted odds ratios. Eight studies with a total number of 81 928 spouse pairs were eligible. The pooled results showed that spouses of individuals with hypertension had 41% (odds ratio, 1.41; 95% confidence interval, 1.21-1.64) increased odds of having hypertension themselves. The association applied to both men and women, and was not significantly different between studies with adjustment for body mass index and those without. The findings highlighted the importance of environmental factors in the development of hypertension. ©2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  environmental factors; hypertension; meta-analysis; spousal concordance

Mesh:

Year:  2017        PMID: 28856830      PMCID: PMC8030758          DOI: 10.1111/jch.13084

Source DB:  PubMed          Journal:  J Clin Hypertens (Greenwich)        ISSN: 1524-6175            Impact factor:   3.738


  29 in total

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10.  Spousal concordance for hypertension: A meta-analysis of observational studies.

Authors:  Zhancheng Wang; Wenhui Ji; Yanqiu Song; Jin Li; Yan Shen; Hongchao Zheng; Yueyou Ding
Journal:  J Clin Hypertens (Greenwich)       Date:  2017-08-30       Impact factor: 3.738

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Journal:  J Clin Hypertens (Greenwich)       Date:  2019-12-31       Impact factor: 3.738

8.  Spousal concordance for hypertension: A meta-analysis of observational studies.

Authors:  Zhancheng Wang; Wenhui Ji; Yanqiu Song; Jin Li; Yan Shen; Hongchao Zheng; Yueyou Ding
Journal:  J Clin Hypertens (Greenwich)       Date:  2017-08-30       Impact factor: 3.738

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