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Objectives: To explore the application of random forest algorithm in screening the risk factors and predictive values for postpartum depression., Methods: We recruited the participants from a tertiary hospital between June 2017 and June 2018 in Changsha City, and followed up from pregnancy up to 4-6 weeks postpartum.Demographic economics, psychosocial, biological, obstetric, and other factors were assessed at first trimesters with self-designed obstetric information questionnaire and the Chinese version of Edinburgh Postnatal Depression Scale (EPDS). During 4-6 weeks after delivery, the Chinese version of EPDS was used to score depression and self-designed questionnaire to collect data of delivery and postpartum. The data of subjects were randomly divided into the training data set and the verification data set according to the ratio of 3꞉1. The training data set was used to establish the random forest model of postpartum depression, and the verification data set was used to verify the predictive effects via the accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and AUC index., Results: A total of 406 participants were in final analysis. Among them, 150 of whom had EPDS score ≥9, and the incidence of postpartum depression was 36.9%. The predictive effects of random forest model in the verification data set were at accuracy of 80.10%, sensitivity of 61.40%, specificity of 89.10%, positive predictive value of 73.00%, negative predictive value of 82.80%, and AUC index of 0.833. The top 10 predictive influential factors that screening by the variable importance measure in random forest model was antenatal depression, economic worries after delivery, work worries after delivery, free triiodothyronine in first trimesters, high-density lipoprotein in third trimester, venting temper to infants, total serum cholesterol and serum triglyceride in first trimester, hematocrit and serum triglyceride in third trimester., Conclusions: Random forest has a great advantage in risk prediction for postpartum depression. Through comprehensive evaluation mechanism, it can identify the important influential factors for postpartum depression from complex multi-factors and conduct quantitative analysis, which is of great significance to identify the key factors for postpartum depression and carry out timely and effective intervention.

Objective: To explore the correlation among coping style, social support, and negative emotion in Chinese infertile women., Methods: A total of 211 infertile women was enrolled for this study. Participants completed questionnaires including Social Support Rating Scale (SSRS), Simplified Coping Style Questionnaire (SCSQ), Selfrating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS)., Results: The mean scores of the 2 dimensions of SCSQ for the infertile women were 20.18±5.43 (positive coping) and 10.19±3.83 (negative coping), respectively. The total mean score of SSRS was 38.95±6.87, and the mean score of 3 dimensions of SSRS were 22.63±4.15 (subjective support), 8.97±2.73 (objective support), and 7.35±1.87 (extent of using the support), respectively. The mean scores of SAS and SDS were 43.44±10.45 and 50.06±10.59, respectively. SAS scores were negatively correlated to the scores of positive coping, subjective support, objective support and extent of using the support (P<0.01) while positively correlated to the scores of negative coping (P<0.01). SDS score were negatively correlated to the scores of positive coping, subjective support, objective support, and extent of using the support (P<0.01). SEM analysis showed that positive coping had direct and positive effect on social support (β=0.49, P<0.01) while direct and negative effect on negative emotions (anxiety and depression, β=-0.27, P<0.01). Negative coping had direct and negative effect on social support (β=-0.21, P<0.01) while direct and positive effect on negative emotions (β=0.21, P<0.01). Positive coping and negative coping also had indirect effects on negative emotions through the pathway of social support, which had direct and negative effect on negative emotions (β=-0.21, P<0.01)., Conclusion: Coping styles have direct and indirect effects on negative emotions for the infertile women. As a mediator, social support regulates the relationship between coping styles and negative emotions. Using positive coping more frequently while using negative coping less frequently can alleviate the negative emotions of the infertile women through improving social support levels directly or indirectly.