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Review
. 2019 Apr-Jun;10(2):57-62.
doi: 10.4103/jmh.JMH_9_19.

Vitamin D Status in Women with Pelvic Floor Disorders: A Meta-Analysis of Observational Studies

Affiliations
Review

Vitamin D Status in Women with Pelvic Floor Disorders: A Meta-Analysis of Observational Studies

Zinat Ghanbari et al. J Midlife Health. 2019 Apr-Jun.

Abstract

The current evidence regarding the association between vitamin D status and pelvic floor disorder (PFD) are inconclusive. This meta-analysis was aimed to summarize existing data demonstrating the association between Vitamin D status and PFD using published observational studies. All national and international databases including Web of Science, PubMed, Google Scholar, and Scopus were searched up until January 30, 2018, and related published studies retrieved for meta-analysis. The effect sizes of Vitamin D status were presented as standardized mean difference (SMD) with 95% confidence interval (CI), using random-effect models and inverse variance method. The Cochran Q statistic and I 2 tests were used to evaluate the heterogeneity across included studies. Seven studies with 3219 women were included our meta-analysis. There was heterogeneity existing among included studies (I 2 = 96.4%, P < 0.001), so a random-effect model was used. The findings of this meta-analysis revealed that the mean serum Vitamin D levels in women with PFD were significantly lower than healthy women (SMD -0.60; 95% CI, -1.06, -0.13; P = 0.01). This meta-analysis demonstrates lower levels of serum Vitamin D in women with PFD rather than healthy women. Additional prospective studies regarding the association between Vitamin D status and PFD are required to confirm our findings.

Keywords: Meta-analysis; Vitamin D levels; observational studies; pelvic floor disorder.

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Conflict of interest statement

There are no conflicts of interest.

Figures

Figure 1
Figure 1
Flowchart for the selection of eligible studies
Figure 2
Figure 2
The forest plot of the association between Vitamin D status and pelvic floor disorders by using the random effect model
Figure 3
Figure 3
Sensitivity analysis based on the contribution of each study on pooled standard mean difference

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