Evidence map›Paper›PMID 30326897›Full record

SynthesisBMC public health2018

Examining subgroup effects by socioeconomic status of public health interventions targeting multiple risk behaviour in adolescence.

Laura Tinner, Deborah Caldwell, Matthew Hickman, Georgina J MacArthur, Denise Gottfredson, Alberto Lana Perez, D Paul Moberg, David Wolfe, Rona Campbell

Abstract readSystematic Review
In one paragraph

Synthesis in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
–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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

9 authors.

Laura TinnerPopulation Health Sciences, Bristol Medical School, University of Bristol, Canygne Hall, Bristol, BS8 2BN, UK. laura.tinner@bristol.ac.uk.ORCID http://orcid.org/0000-0002-3936-072X
Deborah CaldwellPopulation Health Sciences, Bristol Medical School, University of Bristol, Canygne Hall, Bristol, BS8 2BN, UK.
Matthew HickmanPopulation Health Sciences, Bristol Medical School, University of Bristol, Canygne Hall, Bristol, BS8 2BN, UK.
Georgina J MacArthurPopulation Health Sciences, Bristol Medical School, University of Bristol, Canygne Hall, Bristol, BS8 2BN, UK.
Denise GottfredsonDepartment of Criminology and Criminal Justice, University of Maryland, College Park, Prince George's, MD, USA.
Alberto Lana PerezDepartment of Preventive Medicine and Public Health, School of Medicine and Health Sciences, University of Oviedo, Oviedo, Spain.
D Paul MobergDepartment of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
David WolfeFaculty of Education, Western University, Ontario, Canada.
Rona CampbellPopulation Health Sciences, Bristol Medical School, University of Bristol, Canygne Hall, Bristol, BS8 2BN, UK.

Funding

Department of Health PDF-2013-06-026Medical Research Council G0800612Medical Research Council G0802736Medical Research Council MR/K023233/1Medical Research Council MR/KO232331/1Medical Research Council MR/L022206/1National Institute for Health Research PDF-2013-06-026Wellcome Trust
6 · The paper itself

Abstract

backgroundMultiple risk behaviour (MRB) refers to two or more risk behaviours such as smoking, drinking alcohol, poor diet and unsafe sex. Such behaviours are known to co-occur in adolescence. It is unknown whether MRB interventions are equally effective for young people of low and high socioeconomic status (SES). There is a need to examine these effects to determine whether MRB interventions have the potential to narrow or widen inequalities.

methodsTwo Cochrane systematic reviews that examined interventions to reduce adolescent MRB were screened to identify universal interventions that reported SES. Study authors were contacted, and outcome data stratified by SES and intervention status were requested. Risk behaviour outcomes alcohol use, smoking, drug use, unsafe sex, overweight/obesity, sedentarism, peer violence and dating violence were examined in random effects meta-analyses and subgroup analyses conducted to explore differences between high SES and low SES adolescents.

resultsOf 49 studies reporting universal interventions, only 16 also reported having measured SES. Of these 16 studies, four study authors provided data sufficient for subgroup analysis. There was no evidence of subgroup differences for any of the outcomes. For alcohol use, the direction of effect was the same for both the high SES group (RR 1.26, 95% CI: 0.96, 1.65, p = 0.09) and low SES group (RR 1.14, 95% CI: 0.98, 1.32, p = 0.08). The direction of effect was different for smoking behaviour in favour of the low SES group (RR 0.83, 95% CI: 0.66, 1.03, p = 0.09) versus the high SES group (RR 1.16, 95% CI: 0.82, 1.63, p = 0.39). For drug use, the direction of effect was the same for both the high SES group (RR 1.29, 95% CI: 0.97, 1.73, p = 0.08) and the low SES group (RR 1.28, 95% CI: 0.84, 1.96, p = 0.25).

conclusionsThe majority of studies identified did not report having measured SES. There was no evidence of subgroup difference for all outcomes analysed among the four included studies. There is a need for routine reporting of demographic information within studies so that stronger evidence of effect by SES can be demonstrated and that interventions can be evaluated for their impact on health inequalities.

Indexed as

Health PromotionHealth Risk BehaviorsHealth Status DisparitiesSocial ClassAdolescentHumansProgram EvaluationRandomized Controlled Trials as TopicAdolescenceInequalitiesInterventionsMultiple risk behaviourSESSocioeconomic statusSystematic review

Identifiers

PMID30326897
PMCPMC6192072

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.