Evidence map›Paper›PMID 32448926›Full record

ArticleSocial psychiatry and psychiatric epidemiology2021

Age-varying associations between lifestyle risk factors and major depressive disorder: a nationally representative cross-sectional study of adolescents.

Matthew Sunderland, Katrina Champion, Tim Slade, Cath Chapman, Nicola Newton, Louise Thornton, Frances Kay-Lambkin, Nyanda McBride, Steve Allsop, Belinda Parmenter and 2 more

Abstract read
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In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Longitudinal relationships between lifestyle risk factors and neurodevelopment in early adolescence.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2023
    Article
  7. Article
  8. 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

12 authors.

Matthew SunderlandThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Level 6, Jane Foss Russell Building (G02), Sydney, NSW, 2006, Australia. matthew.sunderland@sydney.edu.au.ORCID http://orcid.org/0000-0001-8452-364X
Katrina ChampionThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Level 6, Jane Foss Russell Building (G02), Sydney, NSW, 2006, Australia.
Tim SladeThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Level 6, Jane Foss Russell Building (G02), Sydney, NSW, 2006, Australia.
Cath ChapmanThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Level 6, Jane Foss Russell Building (G02), Sydney, NSW, 2006, Australia.
Nicola NewtonThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Level 6, Jane Foss Russell Building (G02), Sydney, NSW, 2006, Australia.
Louise ThorntonThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Level 6, Jane Foss Russell Building (G02), Sydney, NSW, 2006, Australia.
Frances Kay-LambkinCentre for Brain and Mental Health Priority Research Centre, The University of Newcastle, Newcastle, Australia.
Nyanda McBrideNational Drug Research Institute, Curtin University, Perth, Australia.
Steve AllsopNational Drug Research Institute, Curtin University, Perth, Australia.
Belinda ParmenterDepartment of Exercise Physiology, School of Medical Sciences, University of New South Wales, Sydney, Australia.
Maree TeessonThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Level 6, Jane Foss Russell Building (G02), Sydney, NSW, 2006, Australia.
Health4Life Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLifestyle risk factors, such as alcohol use, smoking, high body mass index, poor sleep, and sedentary behavior, represent major public health issues for adolescents. These factors have been associated with increased rates of major depressive disorder (MDD). The purpose of this paper is to investigate critical peaks in the prevalence of MDD at certain ages and to examine how these peaks might be amplified or attenuated by the presence of lifestyle risk factors.

methodsA nationally representative sample of adolescents aged 11-17 years old (n = 2967) and time-varying effect models were used to investigate the associations between lifestyle risk factors and the prevalence of MDD by sex.

resultsThe estimated prevalence of MDD significantly increased among adolescents from 4% (95% CI 3-6%) at 13 years of age to 19% (95% CI 15-24%) at 16 years of age. From the age of 13, males were significantly less likely to have a diagnosis of MDD than females with the maximum sex difference occurring at the age of 15 (OR 0.24, 95% CI 0.13-0.47). All lifestyle risk factors were at some point significantly associated with MDD, but these associations did not differ by sex, except for body mass index. DISCUSSION: These findings suggest that interventions designed to prevent the development of depression should be implemented in early adolescence, ideally before or at the age of 13 and particularly among young females given that the prevalence of MDD begins to rise and diverge from young males. Interventions should also simultaneously address lifestyle risk factors and symptoms of major depression.

Indexed as

Major Depressive DisorderAdolescentChildCross-Sectional StudiesFemaleHumansLife StyleMalePrevalenceRisk FactorsAdolescenceMajor depressionPreventionRisk factors

Identifiers

PMID32448926

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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.