Background Postpartum depression (PPD) is a public health problem that has significant adverse effects on mothers, couple's relationships, newborn neurodevelopment, and child emotional and cognitive development. This study reviewed the effectiveness of telemedicine interventions in postparturient women with postpartum depression. Aims To evaluate the effectiveness of telemedicine intervention in women with postpartum depression. Methods Cochrane Library, PubMed, EMBASE, Web of Science, CINAHL, and PsycINFO were searched for relevant articles published between 2003 and March 2021. We also manually reviewed the reference lists of the retrieved articles. The present study followed the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) guidelines. The risk of bias for individual studies was evaluated according to the Cochrane Handbook. RevMan 5.4 software was used to carry out the meta‐analysis. Results The meta‐analysis included 20 randomized controlled trials with a total of 3252 patients. The results demonstrated that telemedicine was an effective intervention for treating PPD and anxiety and for improving functional impairment in women during their postpartum period. Linking Evidence to Action This meta‐analysis provided evidence that telemedicine was an effective intervention for treating PPD in women. Telemedicine also has significant effects on anxiety and improved functional impairment in women during their postpartum period. Our findings may provide accurate evidence‐based guidance for postpartum women's mental health management. In the future, more high‐quality studies are required for verifying these results.

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Cognitive behavioural therapy (CBT) has been used for women with infertility. However, the efficacy of CBT among the infertile female population remains inconclusive. We performed a systematic literature search using the Cochrane Library, MEDLINE (OVID), EMBASE (OVID), CINAHL, PsycINFO (OVID), Web of Science, and ProQuest databases from the inception to May 2022. The Cochrane risk of bias tool for randomized trials was used to assess the methodological quality of the included studies. Revman 5.4 was conducted for statistical analysis, and meta‐analyses were performed to calculate the pooled effects of CBT. Sixteen articles were finally included in the meta‐analysis. The results of the meta‐analysis revealed large, significant effects of cognitive‐behavioural interventions that can effectively reduce depression, anxiety symptoms, psychological distress, perceived stress, infertility‐specific stress, and improve the quality of life in women with infertility. However, the pooled MD using a fixed‐effects model was 0.25, 95% CI [−0.33, 0.84], P = 0.40, and no significant differences in BMI were observed among those who received CBT therapy compared with those who did not. CBT effectively alleviates depression, anxiety, psychological distress, and infertility‐specific stress levels and improves the quality of life among women with infertility. Future studies should explore the sustainability and long‐term effect of cognitive‐behavioural interventions in women with infertility.

Introduction: Psychopathological disorders such as anxiety, depression and body image distress are common in women with PCOS and negatively impact their mental health. It is important to identify mental health latent subgroups of PCOS females and provide tailored measures to reduce psychopathological distress and improve their subjective well-being. Methods: LPA was conducted in Mplus version 8.3 to identify mental health latent profiles in women with PCOS based on the dual-factor approach. Differences in demographic and anthropometric variables, cognitive reappraisal, expressive suppression, and social support across mental health profiles were examined through multinomial logistic regression. Results: The current study identified three distinct mental health profiles within women with PCOS: Symptomatic but Content Profile Complete Mental Health Profile and Troubled Profile, with group proportions of 52.3%, 35.7%, and 11.1 %, respectively. The results of the multinomial regression analysis revealed that cognitive reappraisal and social support as predictors of positive mental health adjustment and expression suppression is an indicator of negative barriers in women with PCOS. Conclusion: This study identified three distinct mental health profiles in women with PCOS, which provides evidence for more precisely targeted interventions to address PCOS women’s diverse needs of psychopathological symptoms and subjective well-being.

This cross-sectional study aimed to identify latent mental health subgroups of reproductive-aged women with polycystic ovary syndrome (PCOS) and examine differences in emotion regulation and social support. A total of 477 samples (age = 27.22 ± 5.37) diagnosed with PCOS were included in this study, all of whom were of the same ethnicity. Latent profile analysis (LPA) was conducted in Mplus version 8.3 to identify mental health latent profiles in women with PCOS based on the dual-factor approach. The current study identified three distinct mental health profiles within women with PCOS: High-Symptom and High-Well-being Profile, Low-Symptom and High-Well-being Profile, and High-Symptom and Low-Well-being Profile, with group proportions of 52.3%, 35.7%, and 11.1%, respectively. This study revealed that cognitive reappraisal and social support are important protective factors for the mental health of women with PCOS, whereas expressive suppression is a negative factor for their mental health.