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Objective: This study aimed to assess the prevalence of postpartum anxiety and the factors influencing it, while also exploring the multiple mediating roles of related factors between social support and postpartum anxiety symptomatology among postpartum women in China. Methods: Between April and August 2023, we recruited a total of 824 postpartum women through a convenience sampling method. These participants completed a series of general survey questionnaires and were evaluated using the depression anxiety stress scale, perceived social support scale, 10-item Connor–Davidson resilience scale, maternal postpartum stress scale, and Pittsburgh sleep quality index. Additionally, we employed a hierarchical multiple regression model to investigate the relevant factors and mediators of postpartum anxiety symptomatology. A structural equation model was used to examine the mediating role of resilience, postpartum stress, and sleep problems in the relationship between social support and postpartum anxiety symptomatology. Results: Our study found a postpartum anxiety symptomatology prevalence rate of 18.40%. The factors influencing postpartum anxiety symptomatology included age, education of their husband, mastitis, social support, resilience, postpartum stress, and sleep problems. Through a multiple mediation analysis, we found that resilience, postpartum stress, and sleep problems completely mediated the effects of social support on postpartum anxiety symptomatology, with the mediating effect accounting for 83.57% of the total effect. Conclusion: The multiple mediation analysis revealed that among postpartum women, the impact of social support on postpartum anxiety symptomatology is channeled through resilience, postpartum stress, and sleep problems. Therefore, enhancing social support, resilience, postpartum stress, and sleep problems might alleviate postpartum anxiety symptomatology. [ABSTRACT FROM AUTHOR]

Maternal antenatal depression (AD) is a nonpsychotic depressive episode during pregnancy that can harm both the pregnant woman and the fetus. This study aimed to investigate the intrinsic interrelationships between AD and its influencing factors by constructing a path model. This survey-based cross-sectional study included 1071 pregnant women who underwent pregnancy examinations in three hospitals in Nantong City, China, between February and June 2023. General information and information regarding maternal AD, pregnancy stress, prenatal anxiety, social support, marital satisfaction, sleep quality, and resilience were collected. Multiple linear regression analysis using SPSS 25.0 was employed to determine the factors influencing pregnancy depression, and Amos25.0 was used to construct a structural equation model. AD incidence was 19.4% (208/1071). The independent risk factors affecting AD in pregnant women have been integrated into the established path analysis model. The model demonstrated a good fit (χ2/DF = 1.238, comparative fit index = 0.999, goodness-of-fit index = 0.998, normed fit index = 0.996, adjusted goodness-of-fit index = 0.990, incremental fit index = 0.999, and root mean square error of approximation = 0.015). While prenatal anxiety (0.230) and hyperthyroidism (0.048) only had direct effects on AD, mental resilience was the biggest factor affecting AD, followed by pregnancy stress, marital satisfaction, prenatal anxiety, sleep quality, social support, and hyperthyroidism. Improved mental resilience, social support, sleep quality, and marital satisfaction; reduced pregnancy stress and prenatal anxiety; and effective hyperthyroidism treatment might reduce AD. This study underscored the significance of delivering actionable strategies and tangible assistance to pregnant women to reduce AD. [ABSTRACT FROM AUTHOR]