Title of article :
The global trend of infertility: an original review and meta-analysis
Author/Authors :
Direkvand-Moghadam, Ashraf Psychosocial Injuries Research Center - Ilam University of Medical Sciences , Sayehmiri, Kourosh Psychosocial Injuries Research Center - Ilam University of Medical Sciences , Delpisheh, Ali Psychosocial Injuries Research Center - Ilam University of Medical Sciences , Direkvand-Moghadam, Azadeh Student Research Committee - Ilam University of Medical Sciences
Abstract :
Background and aims: Infertility is one of the most important conditions in reproductive
system and there is no reliable estimates for global prevalence of infertility. Therefore,
knowing the prevalence of infertility is important and can be effective in decision making.
Methods: We systematically reviewed all published papers in Medline database and
Scopus (1988–2010). Univariate and multivariate approaches were applied to assess the
causes of heterogeneity among the selected studies. Meta-regression was used to examine
the relationship between the prevalence of infertility and the year of study. Data
manipulation and statistical analyses were performed using Stata 11.1.
Results: The study population was not similar in all papers. Studies evaluated the
prevalence of infertility in the general population, the total female population, women and
couples. Some studies defined infertility as failure to conceive within 12 months of regular
sexual life without contraception methods while other studies defined it as failure to
conceive within 24 months of regular sexual life without contraception methods. Overall,
52 studies met our inclusion criteria and the pooled worldwide of infertility was obtained
about 10%. The correlation between prevalence of secondary infertility and year of study
was significant (P=0.039).
Conclusions: Approximately 10% of the world's population suffers from infertility. Due to
the negative impact of infertility on couples in various aspects of life, and the need for
treatment and support programs, accurate estimate of infertility is essential worldwide.
Keywords :
Meta-analysis , Meta-regression , Prevalence of infertility
Journal title :
Astroparticle Physics