Evidence map›Paper›PMID 40864387›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2025

Sociodemographic and Lifestyle Factors Associated with Adolescent Mental Ill-Health: a Decision Tree Analysis.

Katelyn Battista, Scarlett Smout, Karen A Patte, Lauren A Gardner, Nicola C Newton, Bridie Osman, Cath Chapman, Scott T Leatherdale, Katrina E Champion

Abstract read
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In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Katelyn BattistaSchool of Public Health Sciences, University of Waterloo, Waterloo, ON, N2L1J9, Canada. kbattist@uwaterloo.ca.ORCID 0000-0002-8102-237X
Scarlett SmoutThe Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, NSW, Australia.
Karen A PatteDepartment of Health Sciences, Brock University, St. Catharines, ON, Canada.
Lauren A GardnerThe Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, NSW, Australia.
Nicola C NewtonThe Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, NSW, Australia.
Bridie OsmanThe Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, NSW, Australia.
Cath ChapmanThe Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, NSW, Australia.
Scott T LeatherdaleSchool of Public Health Sciences, University of Waterloo, Waterloo, ON, N2L1J9, Canada.
Katrina E ChampionThe Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, NSW, Australia.

Funding

Australian National Health and Medical Research Council APP1120641Australian National Health and Medical Research Council APP1166377Centre of Research Excellence in the Prevention and Early Intervention in Mental Illness and Substance Use APP11349009Paul Ramsay Foundation APP1166377
6 · The paper itself

Abstract

Mental ill-health is a leading contributor to adolescent disease burden, with females and socioeconomically disadvantaged youth facing higher rates of mental disorders. Adolescence is a key period for the development of lifestyle risk factors for mental disorder, which are increasingly being recognized as important and novel population-level preventive intervention targets. We used decision trees to examine combinations of sociodemographic factors and the "big six" lifestyle behaviours (poor sleep, physical inactivity, sedentary screen time, poor diet, alcohol use and smoking) prospectively associated with worse anxiety, depression and psychological distress scores. We examined survey data from 3978 Australian adolescents (mean age 14.6 at baseline) who participated in the Health4Life study in 2021 and 2022. CART decision trees were run to rank the relative importance of each risk factor and to identify combinations of risk factors that characterize groups with highest anxiety (PROMIS-AP), depression (PHQ-8A) and psychological distress (K6) scores 1 year later. Gender was the primary differentiator of risk, with cisgender females and gender diverse adolescents having consistently worse mental ill-health scores than cisgender males. Inadequate sleep and excessive sedentary recreational screen time were consistently the top lifestyle factors and often emerged in combination to characterize higher risk groups. These findings offer new insights into relative importance of various lifestyle risk factors in adolescent mental health and highlight both the increased risk from engaging in combinations of unhealthy lifestyle behaviours and the need for targeted prevention and early intervention initiatives to reduce the gender gap in adolescent mental health.

Indexed as

Decision TreesLife StyleMental DisordersSociodemographic FactorsAdolescentAustraliaFemaleHumansMaleRisk FactorsAdolescent healthDecision treesGender gapLifestyle factorsMental health

Identifiers

What OpenQuestion holds

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Registered trials

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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.