Risk factors for depression in Pacific adolescents in New Zealand: a network analysis

Gossage, L, Narayanan, A, Dipnall, JF, Iusitini, L, Sumich, A ORCID: https://orcid.org/0000-0003-4333-8442, Berk, M, Wrapson, W, Tautolo, E-S and Siegert, R, 2022. Risk factors for depression in Pacific adolescents in New Zealand: a network analysis. Journal of Affective Disorders, 311, pp. 373-382. ISSN 0165-0327

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Abstract

Background: Network analysis provides opportunities to gain a greater understanding of the complex interplay of risk factors for depression and heterogeneous symptom presentations. This study used network analysis to discover risk factors associated with both depression severity and depression symptoms amongst Pacific adolescents in New Zealand.

Methods: Mixed graphical models with regularization were fitted to data from a community sample of New Zealand born, Pacific adolescents, (n=561; 51% male; Mean age (SD) = 17 (0.35)) and associations between a wide range of potentially explanatory variables and depression severity and depression symptoms investigated. The associations identified were then tested for reliability, using resampling techniques and sensitivity analysis.

Results: In the networks, the explanatory variables associated with both depression severity and depression symptoms were those related to quality of the relationships with mother or friends, school connectedness, and self-assessed weight, but the symptoms they were associated with varied substantially. In the depression severity networks, impulsivity appeared to be a bridging node connecting depression severity with delinquency and negative peer influence.
Limitations: The data were analysed cross-sectionally, so causal inferences about the directions of relationships could not be inferred and most of the data were self-reported.

Conclusions: The results illustrate the varied way that adolescent depression can manifest itself in terms of symptoms and suggest specific items on the depression inventory that might be suitable targets for prevention strategies and interventions, based on the risk factor - depression symptom profiles of individuals or groups.

Item Type:	Journal article
Publication Title:	Journal of Affective Disorders
Creators:	Gossage, L., Narayanan, A., Dipnall, J.F., Iusitini, L., Sumich, A., Berk, M., Wrapson, W., Tautolo, E.-S. and Siegert, R.
Publisher:	Elsevier BV
Date:	15 August 2022
Volume:	311
ISSN:	0165-0327
Identifiers:	Number Type 10.1016/j.jad.2022.05.076 DOI 1550404 Other
Divisions:	Schools > School of Social Sciences
Record created by:	Laura Ward
Date Added:	09 Aug 2022 12:24
Last Modified:	19 May 2023 03:00
URI:	https://irep.ntu.ac.uk/id/eprint/46849

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