ArticleEpidemiology and psychiatric sciences2023
The temporal dependencies between social, emotional and physical health factors in young people receiving mental healthcare: a dynamic Bayesian network analysis.
Article in Epidemiology and psychiatric sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- Path and Bayesian network analyses in the complex design of a well-being survey via New Zealand's Integrated Data Infrastructure.Frontiers in psychiatry · 2026Article
- Using the service needs index to quantify complexity and identify treatment needs across youth mental health service populations: an observational study.International journal of mental health systems · 2025Article
- Article
- Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis.Journal of medical Internet research · 2025Article
- Novel youth mental health services in Australia: What differences are being reported about the clinical needs of those who attend and the outcomes achieved?The Australian and New Zealand journal of psychiatry · 2025Article
- Transdiagnostic Clinical Staging in Youth Mental Health: A primer for clinical practice.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025Review
- Forecasting the course of bipolar disorder using rest-activity rhythms: Protocol for a multi-study modelling project.Wellcome open research · 2025Article
- A prognostic model for predicting functional impairment in youth mental health services.European psychiatry : the journal of the Association of European Psychiatrists · 2024Article
- A Digital Approach for Addressing Suicidal Ideation and Behaviors in Youth Mental Health Services: Observational Study.Journal of medical Internet research · 2024Observational
- Dynamic learning of individual-level suicidal ideation trajectories to enhance mental health care.Npj mental health research · 2024Article
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Authors and funding
15 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsThe needs of young people attending mental healthcare can be complex and often span multiple domains (e.g., social, emotional and physical health factors). These factors often complicate treatment approaches and contribute to poorer outcomes in youth mental health. We aimed to identify how these factors interact over time by modelling the temporal dependencies between these transdiagnostic social, emotional and physical health factors among young people presenting for youth mental healthcare.
methodsDynamic Bayesian networks were used to examine the relationship between mental health factors across multiple domains (social and occupational function, self-harm and suicidality, alcohol and substance use, physical health and psychiatric syndromes) in a longitudinal cohort of 2663 young people accessing youth mental health services. Two networks were developed: (1) 'initial network', that shows the conditional dependencies between factors at first presentation, and a (2) 'transition network', how factors are dependent longitudinally.
resultsThe 'initial network' identified that childhood disorders tend to precede adolescent depression which itself was associated with three distinct pathways or illness trajectories; (1) anxiety disorder; (2) bipolar disorder, manic-like experiences, circadian disturbances and psychosis-like experiences; (3) self-harm and suicidality to alcohol and substance use or functioning. The 'transition network' identified that over time social and occupational function had the largest effect on self-harm and suicidality, with direct effects on ideation (relative risk [RR], 1.79; CI, 1.59-1.99) and self-harm (RR, 1.32; CI, 1.22-1.41), and an indirect effect on attempts (RR, 2.10; CI, 1.69-2.50). Suicide ideation had a direct effect on future suicide attempts (RR, 4.37; CI, 3.28-5.43) and self-harm (RR, 2.78; CI, 2.55-3.01). Alcohol and substance use, physical health and psychiatric syndromes (e.g., depression and anxiety, at-risk mental states) were independent domains whereby all direct effects remained within each domain over time.
conclusionsThis study identified probable temporal dependencies between domains, which has causal interpretations, and therefore can provide insight into their differential role over the course of illness. This work identified social, emotional and physical health factors that may be important early intervention and prevention targets. Improving social and occupational function may be a critical target due to its impacts longitudinally on self-harm and suicidality. The conditional independence of alcohol and substance use supports the need for specific interventions to target these comorbidities.
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