Search

Background: Optimal strategies for prevention and treatment for post-stroke depression (PSD) remain unclear and a greater understanding of effect of resilience on PSD is promising. The aim was to examine the association between baseline resilience and depression at 1, 3, and 6 months after discharge, which contributes to early detection and management of PSD.Methods: A total of 217 ischemic stroke survivors were recruited in two tertiary hospitals in Shanghai, China from February 2017 to January 2018. The Chinese version of Connor-Davidson Resilience Scale (CD-RISC) was used to assess resilience at acute hospitalization. Hospital Anxiety and Depression Scale (HADS) was employed to ascertain baseline anxiety, baseline depression, and post-discharge depression. Social-demographic and disease-related information were obtained from participants' self-report and medical records. Logistic regression analysis was used to determine which factors were independently associated with PSD.Results: The prevalence of depression at baseline was 21.2% and at 1, 3, and 6 months after discharge was 34.4%, 33.2%, and 29.2%, respectively. Logistics regression analyses indicated that resilience may independently predict PSD at 1 month (OR: 0.22, 95%CI: 0.097, 0.518), 3 months (OR:0.302, 95%CI: 0.151, 0.607), and 6 months (OR: 0.03, 95%CI: 0.006, 0.153) after controlling for social-demographics, disease-related characteristics, baseline anxiety, and baseline depression.Limitations: Non-multicenter survey and mild stroke severity may affect the generalization of these findings. Moreover, response bias should be acknowledged because some participants were read questionnaires out aloud.Conclusion: Resilience is independently associated with PSD at different timepoints. Our findings reveal the important role of resilience as a protective factor against PSD. [ABSTRACT FROM AUTHOR]

Background: Non-suicidal self-injury (NSSI) has received increased attention as a major public health problem among adolescents. However, there is a lack of evidence testing the longitudinal association between cybervictimization and NSSI as well as its underlying mediating and moderating mechanisms. The current study investigated the potential mediator (i.e., anxiety symptoms) and moderator (i.e., self-control) of the relation between cybervictimization and NSSI over a 12-month period.Methods: Three waves of data (called T1, T2 and T3) were collected 6 months apart, between November 2018 and 2019. 1987 Chinese adolescents completed self-report measures in their classrooms. SEM was used to test a moderated mediation model, with gender, age and childhood trauma and baseline measures as covariates.Results: The results found a longitudinal association between cybervictimization and NSSI as well as the mediating role of anxiety symptoms in explaining this association. Moderated mediation analyses revealed that greater cybervictimization contributed to anxiety symptoms, which in turn predicted increased levels of NSSI only among adolescents with lower self-control.Limitations: Measures of study variables were self-reported, and generalizability may be limited by a sample of adolescents from school in China.Conclusions: The present study demonstrated that the indirect effect of anxiety symptoms in the association between cybervictimization and NSSI was conditioned by self-control. These results have implications for preventative interventions aimed toward reducing NSSI for at-risk adolescents. [ABSTRACT FROM AUTHOR]

Background: With the modification of DSM-5 mixed features specifier, a brief scale to screen mixed features in patients with mood disorders is needed in clinical practice. This study aimed to explore the psychometric properties of the Chinese version of the Clinically Useful Depression Outcome Scale supplemented with DSM-5 Mixed subtype (CUDOS-M-C) for the Chinese patients with mood disorders.Methods: Overall, 300 patients with major depressive episode were recruited. All participants were assessed using CUDOS-M-C, Young Mania Rating Scale, Hamilton Anxiety Scale and Montgomery-Asberg Depression Rating Scale. The receiver operating characteristic (ROC) curve analysis was used to calculate the optimal cut-off values of CUDOS-M-C score. The reliability and validity of CUDOS-M-C were examined using Cronbach's alpha, intraclass correlation coefficient (ICC) and principal component analysis (PCA).Results: The results of PCA indicated two-factor structure as the best solution for CUDOS-M-C, which explained 54.82% of cumulative variance. The Cronbach's alpha was 0.892 and the ICC was 0.853. The area under the ROC curve of the CUDOS-M-C for participants with mixed depression was 0.927 (p<0.001) and the suitable cut-off value was 8, with a sensitivity of 91.6% and specificity of 79.9%.Limitations: Most of the patients were recruited from eastern China and further research with larger sample is warranted. And this study did not perform confirmatory factor analysis to identify the generalization of factor structure of CUDOS-M-C. Besides, the study performed the test-retest reliability of CUDOS-M-C and further analysis is needed to ascertain the patient's post-treatment changes.Conclusion: The CUDOS-M-C demonstrated to have satisfactory psychometric properties as a self-report scale, and could be applied to screen patients with mixed depression in clinical practice. [ABSTRACT FROM AUTHOR]

Background: To explore the association between different types of childhood maltreatment and sleep disturbance among Chinese adolescents, with a particular focus on gender differences.Methods: A cross-sectional study was conducted in 7 randomly selected provinces of China via the 2015 School-Based Chinese Adolescents Health Survey. Questionnaires from 153,547 students were completed and were eligible for this study. The Chinese Version of the Pittsburgh Sleep Quality Index (CPSQI) and Childhood Trauma Questionnaire-Short Form (CTQ-SF) were used to assess sleep disturbance and childhood maltreatment, respectively.Results: The prevalence of sleep disturbance among adolescents in China was 21.6%. A significantly increased risk of sleep disturbance was associated with physical abuse (aOR=1.22, 95% CI=1.21-1.24), emotional abuse (aOR=1.15, 95% CI=1.14-1.15), sexual abuse (aOR=1.16, 95% CI=1.15-1.18), physical neglect (aOR=1.04, 95% CI=1.03-1.05), and emotional neglect (aOR=1.03, 95% CI=1.02-1.03). A significant dose-response relationship was found between cumulative childhood maltreatment experiences and sleep disturbance. The interaction terms (between physical abuse/emotional abuse/sexual abuse/physical neglect/emotional neglect/number of childhood traumas and gender) were significantly associated with sleep disturbance. Further stratification analyses by gender showed that girls who reported experiencing one or more of these five types of childhood maltreatment had a higher risk of sleep disturbance than boys.Limitations: The study only included school students, and the cross-sectional design limited our ability to make causal inferences.Conclusions: The study findings suggest that childhood maltreatment increases the risk of sleep disturbance in adolescents. Furthermore, exposure to single and multiple types of childhood maltreatment predicts lower sleep quality in girls. [ABSTRACT FROM AUTHOR]