» Articles » PMID: 37052102

Network Structure and Temporal Stability of Depressive Symptoms After a Natural Disaster Among Children and Adolescents

Overview
Date 2023 Apr 13
PMID 37052102
Authors
Affiliations
Soon will be listed here.
Abstract

Previous studies have found that the postdisaster developmental course of depression is more stable than that of other mental disorders among children and adolescents. However, the network structure and temporal stability of depressive symptoms after natural disasters among children and adolescents remain unknown. This study aims to understand the depressive symptom network and evaluate its temporal stability among children and adolescents after natural disasters. Three-wave measurements were conducted among 1,466 children and adolescents at 3, 15, and 27 months following the Zhouqu debris flow. Depressive symptoms were evaluated by the Child Depression Inventory (CDI), which was dichotomised to signify the presence or absence of depressive symptoms. Depression networks were estimated with the Ising model, and expected influence was used to assess node centrality. A network comparison test was used to test the differences in the depression networks among the three temporal points. Overall, the depressive symptom network was temporally stable regarding symptom centrality and global connectivity over the two-year study period. Self-hate, loneliness, and sleep disturbance were central symptoms and had low variability in the depressive networks at the three temporal points. Crying and self-deprecation had large temporal variability in centrality. The present study provides the first evidence for the temporal stability of the youth depressive symptom network postdisaster. The similar central symptoms and connectivity of depression symptoms at different temporal points after natural disasters may partially explain the stable prevalence and developmental trajectory of depression. Self-hate, loneliness, and sleep disturbance could be central characteristics, and sleep disturbance and reduced appetite, sadness and crying, and misbehaviour and disobedience could be key associations in the endurance of depression among children and adolescents after experiencing a natural disaster.

Citing Articles

Taking a trauma and adversity perspective to climate change mental health.

ODonnell M, Palinkas L Eur J Psychotraumatol. 2024; 15(1):2343509.

PMID: 38655669 PMC: 11044762. DOI: 10.1080/20008066.2024.2343509.

References
1.
Crone E, Dahl R . Understanding adolescence as a period of social-affective engagement and goal flexibility. Nat Rev Neurosci. 2012; 13(9):636-50. DOI: 10.1038/nrn3313. View

2.
McNally R . Network Analysis of Psychopathology: Controversies and Challenges. Annu Rev Clin Psychol. 2020; 17:31-53. DOI: 10.1146/annurev-clinpsy-081219-092850. View

3.
Levinson C, Brosof L, Vanzhula I, Christian C, Jones P, Rodebaugh T . Social anxiety and eating disorder comorbidity and underlying vulnerabilities: Using network analysis to conceptualize comorbidity. Int J Eat Disord. 2018; 51(7):693-709. DOI: 10.1002/eat.22890. View

4.
Liang Y, Zhou Y, Liu Z . Consistencies and differences in posttraumatic stress disorder and depression trajectories from the Wenchuan earthquake among children over a 4-year period. J Affect Disord. 2020; 279:9-16. DOI: 10.1016/j.jad.2020.09.107. View

5.
Borsboom D, Cramer A . Network analysis: an integrative approach to the structure of psychopathology. Annu Rev Clin Psychol. 2013; 9:91-121. DOI: 10.1146/annurev-clinpsy-050212-185608. View