Evidence map›Paper›PMID 30642325›Full record

ArticleBMC public health2019

Lifestyle risk indices in adolescence and their relationships to adolescent disease burden: findings from an Australian national survey.

Louise Mewton, Katrina Champion, Frances Kay-Lambkin, Matthew Sunderland, Louise Thornton, Maree Teesson

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  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
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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

6 authors.

Louise MewtonCentre of Research Excellence in Mental Health and Substance Use, National Drug and Alcohol Research Centre, University of New South Wales, 22-32 King St, Randwick, NSW, 2032, Australia. louisem@unsw.edu.au.ORCID http://orcid.org/0000-0002-7812-296X
Katrina ChampionCentre of Research Excellence in Mental Health and Substance Use, National Drug and Alcohol Research Centre, University of New South Wales, 22-32 King St, Randwick, NSW, 2032, Australia.
Frances Kay-LambkinCentre of Research Excellence in Mental Health and Substance Use, National Drug and Alcohol Research Centre, University of New South Wales, 22-32 King St, Randwick, NSW, 2032, Australia.
Matthew SunderlandCentre of Research Excellence in Mental Health and Substance Use, National Drug and Alcohol Research Centre, University of New South Wales, 22-32 King St, Randwick, NSW, 2032, Australia.
Louise ThorntonCentre of Research Excellence in Mental Health and Substance Use, National Drug and Alcohol Research Centre, University of New South Wales, 22-32 King St, Randwick, NSW, 2032, Australia.
Maree TeessonCentre of Research Excellence in Mental Health and Substance Use, National Drug and Alcohol Research Centre, University of New South Wales, 22-32 King St, Randwick, NSW, 2032, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current study investigates the extent to which an adolescent-specific lifestyle risk factor index predicts indicators of the leading causes of adolescent morbidity and mortality.

methodsData came from 13 to 17 year-old respondents from the 2013-2014 nationally representative Australian Child and Adolescent Survey of Mental Health and Wellbeing (n = 2314). Indicators of adolescent disease burden included Major Depressive Disorder, psychological distress, self-harm and suicide attempt. Risk factors included risky alcohol use, drug use, unprotected sex, smoking, BMI and sleep duration. The extent to which these risk factors co-occurred were investigated using tetrachoric correlations. Several risk indices were then constructed based on these risk factors. Receiver Operating Characteristic curves determined the precision with which these indices predicted the leading causes of adolescent disease burden.

resultsRisky alcohol use, drug use, smoking, unprotected sex, and sleep were all highly clustered lifestyle risk factors, whereas BMI was not. A risk index comprising risky alcohol use, drug use, unprotected sex and sleep duration predicted the disease burden outcomes with the greatest precision. 31.9% of the sample reported one or more of these behaviours.

conclusionsThis lifestyle risk factor index represents a useful summary metric in the context of adolescent health promotion and non-communicable disease prevention. Lifestyle risk factors were found to cluster in adolescence, supporting the implementation of multiple health behaviour change interventions.

Indexed as

Adolescent BehaviorHealth BehaviorLife StyleMajor Depressive DisorderStress, PsychologicalSuicide, AttemptedAdolescentAlcohol DrinkingAustraliaBody Mass IndexFemaleHumansMaleMental HealthMorbidityRisk FactorsAdolescenceBurden of diseaseLifestyle risk factors

Identifiers

PMID30642325
PMCPMC6332686

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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.