Evidence map›Paper›PMID 27888175›Full record

ArticleBMJ open2016

Association between adolescent tobacco, alcohol and illicit drug use and individual and environmental resilience protective factors.

Rebecca Kate Hodder, Megan Freund, Jenny Bowman, Luke Wolfenden, Karen Gillham, Julia Dray, John Wiggers

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 6% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
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  7. Article
  8. The longitudinal buffering effects of resilience on alcohol use outcomes.Psychological trauma : theory, research, practice and policy · 2023
    Article
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  16. Qualitative Exploration of Neighborhoods, Youth Substance Misuse, and Mental Health in an Urban Community.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53
    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

7 authors at 1 institution in 1 country.

Rebecca Kate HodderHunter New England Population Health, Wallsend, New South Wales, Australia.
Megan FreundSchool of Medicine and Public Health, The University of Newcastle, University Drive, Callaghan, New South Wales, Australia.
Jenny BowmanHunter Medical Research Institute, New Lambton, New South Wales, Australia.
Luke WolfendenHunter New England Population Health, Wallsend, New South Wales, Australia.ORCID 0000-0002-6178-3868
Karen GillhamHunter New England Population Health, Wallsend, New South Wales, Australia.
Julia DrayHunter New England Population Health, Wallsend, New South Wales, Australia.
John WiggersHunter New England Population Health, Wallsend, New South Wales, Australia.
Hunter Medical Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesResearch suggests that individual and environmental resilience protective factors may be associated with adolescent substance use; however, the associations between a broad range of such factors and use of various types of substances have not been examined. The study aimed to determine the association between a comprehensive range of adolescent individual and environmental resilience protective factors and measures of tobacco, alcohol and illicit substance use.

designCross-sectional study.

setting32 Australian secondary schools.

participantsGrade 7-10 students (aged 11-17 years). MEASURES: Data regarding 14 student individual and environmental resilience protective factors and seven substance use measures (tobacco, alcohol, marijuana, other illicit drug use) were obtained via an online self-report survey. Adjusted multivariate logistic regression analyses examined the association between all student resilience protective factors and seven substance use measures.

resultsInverse univariate associations were found for 94 of 98 relationships examined (n=10 092). Multivariate analyses found: consistent inverse associations between 2 of 14 protective factors and all substance use measures ('goals and aspirations', 'prosocial peers'); inverse associations between 4 protective factors with multiple substance use measures ('home support' (5 of 7), 'school support' (3 of 7), 'self-awareness' (2 of 7), 'community meaningful participation' (2 of 7)); positive associations between 2 resilience protective factors with multiple measures of substance use ('community support' (3 of 7), 'peer caring relationships' (5 of 7)) and 6 protective factors not to be associated with any substance use measure.

conclusionsDespite individual relationships between the majority of resilience protective factors and substance use types, the protective benefit of such factors for adolescent substance use was limited to only a small number of such factors when considered collectively. Such results suggest that interventions seeking to reduce adolescent substance use may need to target specific protective factors to address specific types of substance use. TRIAL REGISTRATION NUMBER: ACTRN12611000606987, Results.

Indexed as

Adolescent BehaviorResilience, PsychologicalTobacco SmokingAdolescentChildCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMarijuana SmokingMultivariate AnalysisNew South WalesProtective FactorsSchoolsSelf ReportPREVENTIVE MEDICINEPUBLIC HEALTH

Identifiers

PMID27888175
PMCPMC5168489
OpenAlexW2549884504

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.