Objective: To assess the prevalence of anxiety and depression symptoms of different severity in women with polycystic ovary syndrome (PCOS) and explore the potential contributors related to these symptoms using a meta-analysis.
Materials and methods: Databases were systemically searched for cross-sectional studies that evaluated the prevalence of anxiety and depression in women with PCOS published up to September 21 2019. Random effects model or fixed-effect model was used to analyze the data in meta-analysis. The pooled odds ratio (OR) and the pooled standardized mean difference (SMD) were performed to estimate the potential factors related to these symptoms.
Result: A total of 24 cross-sectional studies were included. All studies assessed depression (2316 women with PCOS). Moreover, 16 studies assessed anxiety (1698 women with PCOS), and 6 studies assessed anxiety with depression (736 women with PCOS). The analysis revealed an increase in pool prevalence of depression (42%, 95%CI: 33-52%) and anxiety (37%, 95%CI: 14-60%) among the participants with PCOS, while the pooled prevalence of depression and concurrent anxiety was 28% (95%CI: 1.7-54.2%). Besides, the pooled prevalence of mild symptoms was higher than other levels (depression: 27.5%, 95%CI: 19-36%; anxiety: 35%, 95%CI: 0.8-70.8%). Obese women with PCOS had higher odds of depression (2.098, 95% CI: 1.411-3.119, I2=0.00%, p > .05).
Conclusions: Our meta-analysis confirmed that women with PCOS had a high prevalence of anxiety and depression of different severity, with mild symptoms being more common. Moreover, obesity may increase the risk of depression symptoms, while potential contributors and mechanisms affecting these symptoms, such as hirsutism, infertility, insulin resistance (IR), and total testosterone in women with PCOS, need to be further investigated.
Keywords: Polycystic ovary syndrome; anxiety; depression; meta-analysis.