» Articles » PMID: 35072967

Symptom-level Networks of Youth- and Parent-reported Depression and Anxiety in a Transdiagnostic Clinical Sample

Overview
Journal Depress Anxiety
Publisher Wiley
Date 2022 Jan 24
PMID 35072967
Authors
Affiliations
Soon will be listed here.
Abstract

Methods: We estimate regularized partial correlation networks for youth- and parent reported symptoms in a transdiagnostic sample of youth (N = 417, ages 8-18). We examined features of the symptom-level networks such as network stability, centrality, bridge symptoms, and communities in both youth- and parent-reported networks.

Results: Results indicate stable networks with disorder-specific clustering, such that symptoms were more interconnected within compared to between disorders. Symptoms related to self-comparison to peers and negative views of the future were most central in both networks. Symptoms of depression and anxiety were connected by worries for the future and hopelessness in the youth-reported network, whereas self-comparison to peers and low self-efficacy were bridge symptoms in the parent network. Distinct symptom clusters emerged in the parent- and youth-reported networks.

Conclusions: Our findings indicate that negative self-evaluation, negative views of the future, and repetitive negative thinking more generally are influential symptoms in the presentation and co-occurrence of depression and anxiety and as such may be promising targets in the treatment and prevention of depression and anxiety in youth.

Citing Articles

The relationship between anxiety and depression in adolescent depression patients: The mediating effect of hope level and coping modes.

Lin Y, Chen Z, He M, Zhou W, Wang L, Guo H Heliyon. 2024; 10(15):e35466.

PMID: 39170457 PMC: 11336736. DOI: 10.1016/j.heliyon.2024.e35466.


The comorbid network characteristics of anxiety and depressive symptoms among Chinese college freshmen.

Luo J, Bei D, Zheng C, Jin J, Yao C, Zhao J BMC Psychiatry. 2024; 24(1):297.

PMID: 38641813 PMC: 11027377. DOI: 10.1186/s12888-024-05733-z.


A network model of depressive and anxiety symptoms: a statistical evaluation.

Cai H, Chen M, Li X, Zhang L, Su Z, Cheung T Mol Psychiatry. 2024; 29(3):767-781.

PMID: 38238548 PMC: 11153039. DOI: 10.1038/s41380-023-02369-5.


Factorial and network structure of the Reynolds Adolescent Depression Scale (RADS-2) in Peruvian adolescents.

Ramos-Vera C, Quispe Callo G, Basauri Delgado M, Vallejos Saldarriaga J, Saintila J PLoS One. 2023; 18(5):e0286081.

PMID: 37228053 PMC: 10212103. DOI: 10.1371/journal.pone.0286081.


Psychological impact of COVID-19: A cross-lagged network analysis from the English Longitudinal Study of Aging COVID-19 database.

Ramos-Vera C, Garcia ODiana A, Basauri M, Calle D, Saintila J Front Psychiatry. 2023; 14:1124257.

PMID: 36911134 PMC: 9992548. DOI: 10.3389/fpsyt.2023.1124257.

References
1.
Fried E, Nesse R . The impact of individual depressive symptoms on impairment of psychosocial functioning. PLoS One. 2014; 9(2):e90311. PMC: 3938686. DOI: 10.1371/journal.pone.0090311. View

2.
van Borkulo C, van Bork R, Boschloo L, Kossakowski J, Tio P, Schoevers R . Comparing network structures on three aspects: A permutation test. Psychol Methods. 2022; 28(6):1273-1285. DOI: 10.1037/met0000476. View

3.
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

4.
Epskamp S, Borsboom D, Fried E . Estimating psychological networks and their accuracy: A tutorial paper. Behav Res Methods. 2017; 50(1):195-212. PMC: 5809547. DOI: 10.3758/s13428-017-0862-1. View

5.
Levinson C, Zerwas S, Calebs B, Forbush K, Kordy H, Watson H . The core symptoms of bulimia nervosa, anxiety, and depression: A network analysis. J Abnorm Psychol. 2017; 126(3):340-354. PMC: 5378619. DOI: 10.1037/abn0000254. View