Previous studies have reported different effect sizes for self-help interventions designed to reduce postpartum depression symptoms; therefore, a comprehensive quantitative review of the research was required. A meta-analysis was conducted to examine the effectiveness of self-help interventions designed to treat and prevent postpartum depression, and identified nine relevant randomized controlled trials. Differences in depressive symptoms between self-help interventions and control conditions, changes in depressive symptoms following self-help interventions, and differences in postintervention recovery and improvement rates between self-help interventions and control conditions were assessed in separate analyses. In treatment trials, depression scores continued to decrease from baseline to posttreatment and follow-up assessment in treatment subgroups. Changes in treatment subgroups' depression scores from baseline to postintervention assessment were greater relative to those observed in prevention subgroups. Self-help interventions produced larger overall effects on postpartum depression, relative to those observed in control conditions, in posttreatment (Hedges' g = 0.51) and follow-up (Hedges' g = 0.32) assessments; and self-help interventions were significantly more effective, relative to control conditions, in promoting recovery from postpartum depression. Effectiveness in preventing depression did not differ significantly between self-help interventions and control conditions.The findings suggested that self-help interventions designed to treat postpartum depression reduced levels of depressive symptoms effectively and decreased the risk of postpartum depression.

Background With the COVID-19 outbreak in China, the Chinese government took measures to prevent and control the spread of the virus. In-person teaching was replaced by distance learning, which was an unknown challenge for students. In this context, little is known about the perceived distress of nursing students and the relationship between psychological capital, perceived distress, and psychological stress. This study examined the relationship between psychological capital, psychological distress, and perceived stress, and the mediating role of psychological capital in the relationship between perceived stress and psychological distress among nursing students. Methods This cross-sectional survey was conducted between January and December 2020 using a convenience sampling method involving 359 undergraduate and specialist nursing students at a tertiary hospital in Shandong Province. Standardised instruments were used to measure psychological capital, psychological stress, and perceived stress. We used SPSS 24.0 and PROCESS macro to analyse the data. Results There was a statistically significant difference in perceived stress among students based on whether they liked the nursing profession (P < 0.01). Relative to nursing college students, undergraduates experienced significantly higher levels of perceived stress (P < 0.01). Nevertheless, there were no significant differences in perceived stress according to gender, place of residence, and being an only child. Psychological distress was positively correlated (r = 0.632, p < 0.001) with perceived stress (r =-0.662, p < 0.001), whereas it was negatively correlated with psychological capital. Psychological capital played a potential mediating role in the relationship between psychological distress and perceived stress. Conclusions Psychological distress was negatively correlated with psychological capital, and positively correlated with perceived stress. Mediation analyses indicated that psychological capital partially mediated the relationship between perceived stress and psychological distress. Educators should therefore heed students’ perceived stress and develop appropriate mental health counselling programmes for students in the curriculum that could help them reduce their psychological distress. In clinical practice, nursing managers must take effective measures, such as skills training, to improve the psychological capital of nursing students and reduce the negative impact of their psychological distress.

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BackgroundWhile numerous studies have explored relevant factors of posttraumatic stress disorder (PTSD) symptoms, there have been few joint investigations of trauma severity and trait neuroticism on the development of PTSD symptoms. This study aims to assess the involvement and interrelationship of trauma severity and neuroticism in the expression of PTSD symptoms among adolescents exposed to an accidental explosion.MethodsSix hundred and sixty-two adolescents were recruited from a junior middle school closest to the 2013 pipeline explosion site in China and were assessed using the Explosion Exposure Questionnaire, the NEO Five Factor Inventory-Neuroticism Subscale (FFI-N), and the PTSD Checklist-Civilian (PCL-C). A battery of hierarchical multiple regression analyses and two-way ANOVAs were performed to examine the effect of trauma severity and trait neuroticism on adolescent PTSD symptoms.ResultsEighty-seven adolescents (13.1%) showed PTSD symptoms after the pipeline explosion. Correlation analysis showed that all the factors of explosion exposure and trait neuroticism were positively associated with adolescent PTSD symptoms. Being male and younger was linked to lower risk for PTSD symptoms. The regression models identified explosion exposure and neuroticism as independent risk factors for PTSD symptoms, and the interactions between trait neuroticism and trauma exposure (personal casualty, degree of influence, total traumatic severity) were related to PTSD symptoms.ConclusionsThe results highlight the role of trauma exposure and trait neuroticism as risk factors for PTSD symptoms. Therefore, the combination of these two factors should be investigated in clinical settings due to an augmented risk for more severe PTSD symptoms.

Latent class analysis can be used to identify clusters of depressive symptoms in patients with cancer. Such groupings may hasten the development of individualized intervention approaches tailored to patients' specific depressive clusters.