Evidence map›Paper›PMID 33618197›Full record

ArticleDrug and alcohol dependence2021

Testing the association between tobacco and cannabis use and cognitive functioning: Findings from an observational and Mendelian randomization study.

Liam Mahedy, Robyn Wootton, Steph Suddell, Caroline Skirrow, Matt Field, Jon Heron, Matthew Hickman, Marcus R Munafò

Open access · hybridAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
1.5field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. 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

8 authors at 5 institutions in 1 country.

Liam MahedySchool of Psychological Science, University of Bristol, Bristol, BS8 1TU, UK; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK. Electronic address: Liam.mahedy@bristol.ac.uk.
Robyn WoottonSchool of Psychological Science, University of Bristol, Bristol, BS8 1TU, UK; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK. Electronic address: Robyn.wootton@bristol.ac.uk.
Steph SuddellSchool of Psychological Science, University of Bristol, Bristol, BS8 1TU, UK; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK. Electronic address: Steph.suddell@brsitol.ac.uk.
Caroline SkirrowSchool of Psychological Science, University of Bristol, Bristol, BS8 1TU, UK; Cambridge Cognition, Cambridge, UK. Electronic address: Caroline.skirrow@bristol.ac.uk.
Matt FieldDepartment of Psychology, University of Sheffield, Sheffield, S1 2LT, UK. Electronic address: Matt.field@sheffield.ac.uk.
Jon HeronPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK. Electronic address: Jon.heron@bristol.ac.uk.
Matthew HickmanPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK. Electronic address: Matthew.hickman@bristol.ac.uk.
Marcus R MunafòSchool of Psychological Science, University of Bristol, Bristol, BS8 1TU, UK; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK. Electronic address: Marcus.munafo@bristol.ac.uk.
University of Bristol · GBNational Institute for Health Research · GBCambridge Cognition (United Kingdom) · GBMRC Epidemiology Unit · GBUniversity of Sheffield · GB

Funding

Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_UU_00011/7Medical Research Council MM_UU_00011/7Medical Research Council MR/KO232331/1Medical Research Council MR/L022206/1Wellcome TrustWellcome Trust 102215/2/13/2Wellcome Trust 204813/Z/16/Z
6 · The paper itself

Abstract

backgroundAlthough studies have examined the association between tobacco and cannabis use in adolescence with subsequent cognitive functioning, study designs are usually not able to distinguish correlation from causation.

methodsSeparate patterns of tobacco and cannabis use were derived using longitudinal latent class analysis based on measures assessed on five occasions from age 13-18 in a large UK population cohort (Avon Longitudinal Study of Parents and Children). Cognitive functioning measures comprised of working memory, response inhibition, and emotion recognition assessed at 24 years of age. Mendelian randomization was used to examine the possible causal relationship between smoking initiation, lifetime cannabis use and cognitive functioning.

resultsWe found evidence of a relationship between tobacco and cannabis use and diminished cognitive functioning for each of the outcomes in the observational analyses. There was evidence to suggest that late-onset regular tobacco smokers (b=-0.29, 95 %CI=-0.45 to -0.13), early-onset regular tobacco smokers (b=-0.45, 95 %CI=-0.84 to -0.05), and early-onset regular cannabis users (b=-0.62, 95 %CI=-0.93 to -0.31) showed poorer working memory. Early-onset regular tobacco smokers (b = 0.18, 95 %CI = 0.07 to 0.28), and early-onset regular cannabis users (b = 0.30, 95 %CI = 0.08 to 0.52) displayed poorer ability to inhibit responses. Late-onset regular (b=-0.02, 95 %CI=-0.03 to - 0.00), and early-onset regular tobacco smokers (b=-0.04, 95 %CI=-0.08 to -0.01) showed poorer ability to recognise emotions. Mendelian randomization analyses were imprecise and did not provide additional support for the observational results.

conclusionThere was some evidence to suggest that adolescent tobacco and cannabis use were associated with deficits in working memory, response inhibition and emotion recognition. Better powered genetic studies are required to determine whether these associations are causal.

Indexed as

AdolescentCannabisChildCognitionCohort StudiesFemaleHumansLongitudinal StudiesMaleMarijuana SmokingMendelian Randomization AnalysisNicotianaParentsSmokingSubstance-Related DisordersTobacco SmokingALSPACCannabisCausal inferenceCognitionTobacco

Identifiers

PMID33618197
PMCPMC8047806
OpenAlexW3124257346

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.