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JOURNAL ARTICLE
META-ANALYSIS
REVIEW
Effect of Consanguinity on Low Birth Weight: A Meta-Analysis.
Archives of Iranian Medicine 2017 March
BACKGROUND: Consanguinity (when couples share at least one common ancestor) is a public health issue with a variety of distributions and incidence rates worldwide. Several epidemiological studies have explored the association between consanguinity and low birth weight (LBW). However, the results are inconsistent. This meta-analysis aimed to explore the overall association between consanguineous marriage and LBW.
METHODS: We searched PubMed, Web of Science, Scopus, ScienceDirect, and reference lists of articles up to May 2015. We included cohort, case-control, and cross-sectional studies addressing the association between consanguinity and LBW. We assessed heterogeneity using Q-test and I2 statistic. We explored publication bias using the Egger's and Begg's tests and the funnel plot. We meta-analyzed the data and reported the overall odds ratio (OR) and mean difference with 95% confidence intervals (CI) using the random-effects model.
RESULTS: We included 24 out of 3941 retrieved studies, with 44,131 participants. We indicated that LBW was associated significantly with first-cousin marriages (OR = 1.36; 95% CI: 1.03, 1.69) and non-significantly with second-cousin marriages (OR = 1.20; 95% CI: 0.49, 1.91). Furthermore, first-cousin marriages can reduce the birth weight of siblings of consanguineous couples 144 g more compared to non-consanguineous marriages.
CONCLUSIONS: This meta-analysis measured the association between consanguinity and LBW. Based on the current evidence, consanguineous marriage can increase the risk for LBW. However, further evidence based on large cohort studies conducted in different settings is required to make a robust conclusion regarding the effect of consanguinity on LBW.
METHODS: We searched PubMed, Web of Science, Scopus, ScienceDirect, and reference lists of articles up to May 2015. We included cohort, case-control, and cross-sectional studies addressing the association between consanguinity and LBW. We assessed heterogeneity using Q-test and I2 statistic. We explored publication bias using the Egger's and Begg's tests and the funnel plot. We meta-analyzed the data and reported the overall odds ratio (OR) and mean difference with 95% confidence intervals (CI) using the random-effects model.
RESULTS: We included 24 out of 3941 retrieved studies, with 44,131 participants. We indicated that LBW was associated significantly with first-cousin marriages (OR = 1.36; 95% CI: 1.03, 1.69) and non-significantly with second-cousin marriages (OR = 1.20; 95% CI: 0.49, 1.91). Furthermore, first-cousin marriages can reduce the birth weight of siblings of consanguineous couples 144 g more compared to non-consanguineous marriages.
CONCLUSIONS: This meta-analysis measured the association between consanguinity and LBW. Based on the current evidence, consanguineous marriage can increase the risk for LBW. However, further evidence based on large cohort studies conducted in different settings is required to make a robust conclusion regarding the effect of consanguinity on LBW.
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