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. 2014 Feb;8(2):106-9.
doi: 10.7860/JCDR/2014/8024.4021. Epub 2014 Feb 3.

Epidemiology of Premenstrual Syndrome (PMS)-A Systematic Review and Meta-Analysis Study

Direkvand-Moghadam A  1 , Sayehmiri K  2 , Delpisheh A  2 , Kaikhavandi Sattar  2
Affiliations

Epidemiology of Premenstrual Syndrome (PMS)-A Systematic Review and Meta-Analysis Study

Direkvand-Moghadam A et al. J Clin Diagn Res. 2014 Feb.

Erratum in

  • Correction.
    [No authors listed] [No authors listed] J Clin Diagn Res. 2015 Jul;9(7):ZZ05. doi: 10.7860/JCDR/2015/8024.6295. J Clin Diagn Res. 2015. PMID: 26217594 Free PMC article.

Abstract

Background and objectives: Premenstrual Syndrome (PMS) is a common health problem in women in reproductive age. The present study aimed to investigate the prevalence of PMS using meta-analysis method.

Methods: This meta-analysis systematically reviewed the prevalence of PMS. A search was conducted using keywords Premenstrual Syndrome, PMS, prevalence PMS and symptom of PMS in reliable English articles. The initial search 53 articles were available. After review of full-text articles, 17 articles were selected for analysis. Data were combined using meta-analysis (random effects model). Data were analyzed using STATA software, Version 11.1 RESULTS: Overall, 17 studies met our inclusion criteria. The pooled prevalence of PMS was 47.8% (95% CI: 32.6-62.9). The lowest and highest prevalence were reported in France 12% (95% CI: 11-13) and Iran 98% (95% CI: 97-100) respectively. However, meta-regression scatter plot showed an increasing trend in the prevalence of PMS during 1996-2011 but correlation between prevalence of PMS and year of study was not significance (p= 0.797).

Interpretation and conclusions: Considering that different tools have been used in studies and many studies have been designed based on a limited sample, therefore, future research needs to consider the prevalence of PMS in different countries of world.

Keywords: Meta-regression model; Prevalence of Premenstrual Syndrome; Symptom of Premenstrual Syndrome.

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Figures

[Table/Fig-1]:
[Table/Fig-1]:
Results of the systematic literature search
[Table/Fig-2]:
[Table/Fig-2]:
Eggers publication bias plot
[Table/Fig-3]:
[Table/Fig-3]:
The prevalence of premenstrual syndrome. Squares represented effect estimate of studies with their 95% confidence intervals with size of squares proportional to the weight assigned to the study in the meta-analysis. The diamond represents the overall results and 95% confidence interval of the random effect of the meta-analysis
[Table/Fig-5]:
[Table/Fig-5]:
The prevalence of PMS according to continent. Squares represented effect estimate of studies with their 95% confidence intervals with size of squares proportional to the weight assigned to the study in the meta-analysis. The diamond represents the overall results and 95% confidence interval of the random effect of the meta-analysis
[Table/Fig-6]:
[Table/Fig-6]:
The prevalence of PMS according to Country. Squares represented effect estimate of studies with their 95% confidence intervals with size of squares proportional to the weight assigned to the study in the meta-analysis. The diamond represents the overall results and 95% confidence interval of the random effect of the meta-analysis
[Table/Fig-7]:
[Table/Fig-7]:
Meta-regression plot of the prevalence of PMS based on year of study
[Table/Fig-8]:
[Table/Fig-8]:
Meta-regression scatter plot of the prevalence of PMS based on sample size
See this image and copyright information in PMC

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