Mental health status and the quality of life of infertile women receiving fertility treatment in Bangladesh: A cross-sectional study

• Published in: PLOS global public health 2023, Vol.3 (12), p.e0002680-e0002680
• Main Authors: Hasan, A B M Nahid, Sharif, Azaz Bin, Jahan, Ishrat, Begum, Mosammat Rashida
• Format: Article
• Language: English
• Subjects: Biology and Life Sciences; Medicine and Health Sciences; People and Places; Social Sciences
• ISSN: 2767-3375; 2767-3375
• DOI: 10.1371/journal.pgph.0002680

Infertility poses significant physical and psychological challenges for women of reproductive age. In low- and middle-income countries, the prevalence of depression among infertile women is alarmingly high, reaching 44.32%. Additionally, over 50% of infertile women worldwide experience varying degrees of decline in their quality of life. Therefore, this study aimed to assess the effects of infertility on the mental health status and quality of life of infertile women in Bangladesh. Between December 2022 and March 2023, 375 infertile women in Dhaka, Bangladesh were selected using simple random sampling for this cross-sectional study. The participants' mental health status was assessed using the Depression Anxiety and Stress Scale (DASS-21), while their quality of life was evaluated by the Short Form-12 (SF-12) scale. The prevalence of depression, anxiety, and stress were 59.7%, 55.0%, and 48.7%, respectively. Multiple logistic regression showed that infertile homemakers had 2.98 (95% CI: 1.30 to 6.80) times the odds of depression than government service holders. Aborted infertile women had 1.8 (95% CI: 1.10 to 3.26) times the odds of depression. Infertile women who married between 20 and 24 years old were 49% (95% CI: 0.27 to 0.98) less anxious than those who married earlier. Low-income infertile women (60,000 BDT). Multiple linear regression analysis suggests that education and infertility diagnosis status significantly affect the Mental Component Summary (MCS-12) scores of the Short Form-12 (SF-12). In contrast, age, occupation, and Body Mass Index (BMI) were the significant predictors for the Physical Component Summary (PCS-12). Policymakers may use lessons learned from this study to incorporate appropriate counseling techniques, social awareness campaigns, and media involvement to control the added burden of infertility on women's psychological health and quality of life.