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Identifying high-risk subgroups for self-harm in adolescents and young adults: A longitudinal latent class analysis of risk factors

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posted on 2024-03-05, 11:31 authored by David McevoyDavid Mcevoy, Ross BranniganRoss Brannigan, Cathal WalshCathal Walsh, Ella Arensman, Mary ClarkeMary Clarke

Background: Self-harm is a major public health concern in young people and is governed by a complex interaction of different risk factors. While many studies have identified these risk factors, less is known about how they tend to co-occur together. Methods: A latent class analysis was conducted using risk factors for self-harm from two waves at ages 13 and 17 from the Growing Up in Ireland (GUI) study their associations with self-harm were examined longitudinally at ages 17 and 20, respectively. Results: At age 13, there was a ‘peer problems’ group with higher probabilities of bullying, being unpopular and internalising problems and a ‘school and substance use problems’ group with higher probabilities of substance use, truancy or excessive absence from school and violence. Both of these two groups had over a two-fold risk of self-harm at age 17 in comparison to the low risk factor group. At age 17, there was a group with depression that was diagnosed by a medical professional with the highest relative risk (RR:13.9 (95 % CI 10.2–19.0)) of self-harm at age 20. Two other groups with undiagnosed depression had high probabilities of being bullied, and either high or low probabilities of substance use that had a 9.4 (95 % CI 6.8–13.1) and 7.4 (95 % CI 5.5–10.0) relative risk of self-harm at age 20, respectively. Conclusions: Identifying hidden sub-groups using risk factors for self-harm in young people can inform potential public health interventions by clinicians and other professionals who work with young people.

History

Publication

Journal of Affective Disorders 351, pp. 40-48

Publisher

Elsevier

Other Funding information

Health Research Board (HRB) Ireland as part of the SPHeRE Programme

Also affiliated with

  • Health Research Institute (HRI)

Sustainable development goals

  • (3) Good Health and Well-being

Department or School

  • Mathematics & Statistics

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