This prospective study examined the longitudinal effects of psychological resilience on depression in a Chinese sample of left-behind children. A total of 386 left-behind children completed both a baseline and a 1-year follow-up survey. The prevalence of depression at the baseline and 1-year follow-up was 12.7 and 8.5 per cent, respectively. Multivariate analysis revealed that older age and baseline depressive symptoms were positively associated with follow-up depression, while psychological resilience and quality of life were negatively related to follow-up depression. Our findings provided preliminary evidence that higher psychological resilience was a significantly protective factor of developing depression among left-behind children.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1177/1359105315610811 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer's disease.
Brain Inform
January 2025
Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Cognitive resilience (CR) describes the phenomenon of individuals evading cognitive decline despite prominent Alzheimer's disease neuropathology. Operationalization and measurement of this latent construct is non-trivial as it cannot be directly observed. The residual approach has been widely applied to estimate CR, where the degree of resilience is estimated through a linear model's residuals.
View Article and Find Full Text PDFEffectiveness of Poverty Reduction Programs on Psychological Development of Children and Adolescents at Risk of Poverty: A Systematic Review and Meta-analysis.
J Youth Adolesc
January 2025
Department of Social Work, the Chinese University of Hong Kong, Hong Kong, China.
Considering the potential detrimental impact of poverty on psychological development and the resulting harmful cycles, implementing poverty alleviation interventions is necessary for children and adolescents. Although several meta-analyses have demonstrated the effectiveness of monetary poverty reduction programs, there remains a significant gap in understanding how multidimensional poverty reduction strategies boost psychological development. This meta-analysis aims to address this gap by disclosing the impact of multifaceted anti-poverty interventions on the psychological development of children and adolescents.
View Article and Find Full Text PDFMachine learning meta-analysis identifies individual characteristics moderating cognitive intervention efficacy for anxiety and depression symptoms.
NPJ Digit Med
January 2025
School of Psychological Sciences, University of Haifa, Haifa, Israel.
Cognitive training is a promising intervention for psychological distress; however, its effectiveness has yielded inconsistent outcomes across studies. This research is a pre-registered individual-level meta-analysis to identify factors contributing to cognitive training efficacy for anxiety and depression symptoms. Machine learning methods, alongside traditional statistical approaches, were employed to analyze 22 datasets with 1544 participants who underwent working memory training, attention bias modification, interpretation bias modification, or inhibitory control training.
View Article and Find Full Text PDFDeterminants maintaining healthcare personnel's motivation during COVID-19 pandemic in Uganda.
Sci Rep
January 2025
Department of Global Health Research, Graduate School of Medicine, Juntendo University, Tokyo, Japan.
Background: Maintaining the physical and psychological well-being of healthcare workers (HCWs) is crucial for health system resilience. In sub-Saharan Africa, particularly Uganda, HCWs faced significant challenges during the coronavirus disease 2019 (COVID-19) pandemic, compounded by pre-existing resource constraints. This study investigated challenges faced by HCWs at a designated COVID-19 hospital ('the Hospital') and explored determinants of maintaining healthcare personnel's motivation during the COVID-19 pandemic in Uganda.
View Article and Find Full Text PDFMass Casualty Incident Training in Immersive Virtual Reality: Quasi-Experimental Evaluation of Multimethod Performance Indicators.
J Med Internet Res
January 2025
Psychological Institute and Network Aging Research, Heidelberg University, Heidelberg, Germany.
Background: Immersive virtual reality (iVR) has emerged as a training method to prepare medical first responders (MFRs) for mass casualty incidents (MCIs) and disasters in a resource-efficient, flexible, and safe manner. However, systematic evaluations and validations of potential performance indicators for virtual MCI training are still lacking.
Objective: This study aimed to investigate whether different performance indicators based on visual attention, triage performance, and information transmission can be effectively extended to MCI training in iVR by testing if they can discriminate between different levels of expertise.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!