Association Between Multiple Sclerosis and Risk of Female Sexual Dysfunction: A Systematic Review and Meta-Analysis

Shankun Zhao1, Jiamin Wang1, Yangzhou Liu1

  • 1Department of Urology and Andrology, Minimally Invasive Surgery Center, Guangdong Provincial Key Laboratory of Urology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.

Abstract

Insights

Multiple sclerosis (MS) significantly increases the risk of female sexual dysfunction (FSD). This meta-analysis highlights the need for increased awareness among healthcare providers regarding this association.

Area of Science:

  • Neurology
  • Sexual Health
  • Epidemiology

Background:

  • Multiple sclerosis (MS) is increasingly recognized as a condition potentially impacting female sexual function.
  • Existing reports suggest a link between MS and female sexual dysfunction (FSD), necessitating further investigation.

Purpose of the Study:

  • To conduct a comprehensive literature review and meta-analysis to assess if MS is a risk factor for FSD.
  • To quantify the association between MS and the risk of developing FSD.

Main Methods:

  • Systematic search of MEDLINE (PubMed), Embase, Cochrane Library, and PsychINFO databases for relevant studies.
  • Inclusion of 9 observational studies comprising 1,485 women (826 with MS).
  • Meta-analysis using relative risk and standard mean differences, with subgroup and sensitivity analyses.

Main Results:

  • MS was significantly associated with an increased risk of FSD (RR 1.87, 95% CI 1.25-2.78).
  • Women with MS reported significantly lower Female Sexual Function Index scores compared to healthy controls (SMD -2.41, 95% CI -3.87 to -0.96).
  • The overall quality of evidence was judged as low, with significant heterogeneity observed.

Conclusions:

  • Women with MS have a significantly elevated risk of sexual dysfunction.
  • This finding underscores the importance of recognizing the association between MS and FSD for neurologists and urologists.
  • Further high-quality, large-scale studies are warranted to validate these findings.

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