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Meta-Analysis
. 2015 Aug 24:5:13411.
doi: 10.1038/srep13411.

Parity and Cardiovascular Disease Mortality: a Dose-Response Meta-Analysis of Cohort Studies

Haichen Lv  1   2 , Hongyi Wu  2 , Jiasheng Yin  2 , Juying Qian  2 , Junbo Ge  2
Affiliations
Meta-Analysis

Parity and Cardiovascular Disease Mortality: a Dose-Response Meta-Analysis of Cohort Studies

Haichen Lv et al. Sci Rep. .

Abstract

Parity has been shown to inversely associate with cardiovascular disease (CVD) mortality, but the evidence of epidemiological studies is still controversial. Therefore, we quantitatively assessed the relationship between parity and CVD mortality by summarizing the evidence from prospective studies. We searched MEDLINE (PubMed), EMBASE and ISI Web of Science databases for relevant prospective studies of parity and CVD mortality through the end of March 2015. Fixed- or random-effects models were used to estimate summary relative risks (RRs) and 95% confidence intervals (CIs). Heterogeneity among studies was assessed using the I(2) statistics. All statistical tests were two-sided. Ten prospective studies were included with a total of 994,810 participants and 16,601 CVD events. A borderline significant inverse association was observed while comparing parity with nulliparous, with summarized RR = 0.79 (95% CI: 0.60-1.06; I(2) = 90.9%, P < 0.001). In dose-response analysis, we observed a significant nonlinear association between parity number and CVD mortality. The greatest risk reduction appeared when the parity number reached four. The findings of this meta-analysis suggests that ever parity is inversely related to CVD mortality. Furthermore, there is a statistically significant nonlinear inverse association between parity number and CVD mortality.

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Figures

Figure 1
Figure 1. Association between ever parity and cardiovascular disease mortality.
Figure 2
Figure 2. The relative risk(RR) for per live birth.
Figure 3
Figure 3. Dose-response analysis of parity number.
Figure 4
Figure 4. Selection of studies for inclusion in meta-analysis.
See this image and copyright information in PMC

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