Evidence map›Paper›PMID 39247944›Full record

ArticleEpidemiology and psychiatric sciences2024

Australian Youth Self-Harm Atlas: spatial modelling and mapping of self-harm prevalence and related risk and protective factors to inform youth suicide prevention strategies.

E Hielscher, K Hay, I Chang, M McGrath, K Poulton, E Giebels, J Blake, P J Batterham, J G Scott, D Lawrence

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Article in Epidemiology and psychiatric sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

E HielscherQIMR Berghofer Medical Research Institute, Herston, QLD, Australia.ORCID https://orcid.org/0000-0002-0559-5256
K HayQIMR Berghofer Medical Research Institute, Herston, QLD, Australia.
I ChangQIMR Berghofer Medical Research Institute, Herston, QLD, Australia.ORCID https://orcid.org/0000-0001-8304-1606
M McGrathRoses in the Ocean, Brisbane, Australia.
K PoultonRoses in the Ocean, Brisbane, Australia.
E GiebelsQIMR Berghofer Medical Research Institute, Herston, QLD, Australia.
J BlakeQIMR Berghofer Medical Research Institute, Herston, QLD, Australia.
P J BatterhamCentre for Mental Health Research, The Australian National University, Canberra, ACT, Australia.
J G ScottQIMR Berghofer Medical Research Institute, Herston, QLD, Australia.
D LawrenceSchool of Population and Global Health, The University of Western Australia, Perth, WA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsSuicide prevention strategies have shifted in many countries, from a national approach to one that is regionally tailored and responsive to local community needs. Previous Australian studies support this approach. However, most studies have focused on suicide deaths which may not fully capture a complete understanding of prevention needs, and few have focused on the priority population of youth. This was the first nationwide study to examine regional variability of self-harm prevalence and related factors in Australian young people.

methodsA random sample of Australian adolescents (12-17-year-olds) were recruited as part of the Young Minds Matter (YMM) survey. Participants completed self-report questions on self-harm (i.e., non-suicidal self-harm and suicide attempts) in the previous 12 months. Using mixed effects regressions, an area-level model was built with YMM and Census data to produce out-of-sample small area predictions for self-harm prevalence. Spatial unit of analysis was Statistical Area Level 1 (average population 400 people), and all prevalence estimates were updated to 2019.

resultsAcross Australia, there was large variability in youth self-harm prevalence estimates. Northern Territory, Western Australia, and South Australia had the highest estimated state prevalence. Psychological distress and depression were factors which best predicted self-harm at an individual level. At an area-level, the strongest predictor was a high percentage of single unemployed parents, while being in an area where ≥30% of parents were born overseas was associated with reduced odds of self-harm.

conclusionsThis study identified characteristics of regions with lower and higher youth self-harm risk. These findings should assist governments and communities with developing and implementing regionally appropriate youth suicide prevention interventions and initiatives.

Indexed as

Protective FactorsSelf-Injurious BehaviorSuicide PreventionAdolescentAustraliaChildDepressionFemaleHumansMalePrevalenceRisk FactorsSpatial AnalysisSuicide, Attemptedadolescencegeospatialprevalenceself-harmspatial analysissuicide

Identifiers

PMID39247944
PMCPMC11450422

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.