Quality of Life and Conformity to Gender Norms in Women Receiving Assisted Reproductive Technologies as a Potential Indicator of Mental Health

Int J Environ Res Public Health. 2022 Aug 14;19(16):10031. doi: 10.3390/ijerph191610031.

Abstract

The prevalence of depression, stress, or anxiety in people receiving assisted reproductive technologies (ART) has been demonstrated. However, knowledge about the influence of gender norms on quality of life (QofL) during infertility treatment is limited. The main objective of this study was to confirm that patients undergoing ART present a vulnerable mental state, which may be an indicator of risk. For this purpose, a quasi-experimental cross-sectional study was carried out in the Assisted Reproduction Unit of the Hospital Politécnico Universitario de la Fe (Spain) in which a total of 438 women participated: 256 in pre-treatment and 182 in treatment. Two questionnaires were administered, FertiQol and CFNI-23, assessing self-perceived QofL and conformity to gender norms, respectively. The results showed significant differences between the pre-treatment and treatment groups on the FertiQol and its subscales. Significant associations were also found between the CFNI-23 factors and the FertiQol subscales. The results suggest that gender norms and ART interfere with women's mental health and QofL and should be considered as possible risk indicators by professionals preventively before the prenatal or perinatal stages. Future research should design prospective studies aimed at estimating the impact of clinical and sociodemographic variables on women and other groups receiving ART.

Keywords: CFNI; FertiQol; assisted reproductive technology; gender norms; infertility; perinatal mental health; quality of life.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cross-Sectional Studies
  • Female
  • Humans
  • Mental Health*
  • Pregnancy
  • Prospective Studies
  • Quality of Life* / psychology
  • Reproductive Techniques, Assisted

Grants and funding

This research was funded by Spanish Ministry of Science, Innovation and Universities, grant number PSI2017-82487-R by the State Investigation Agency and European Regional Development Fund (2018–2020).