Evidence map›Paper›PMID 40683963›Full record

ArticleCommunications medicine2025

Longitudinal study of risk factors predicting cannabis use disorder in UK young adults and adolescents.

Martine Skumlien, Darcy Jones, Claire Mokrysz, Rachel Lees, Kat Petrilli, Shelan Ofori, Will Lawn, H Valerie Curran, Tom P Freeman

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Martine SkumlienAddiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK. ms4068@bath.ac.uk.ORCID http://orcid.org/0000-0003-3552-2653
Darcy JonesAddiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK.
Claire MokryszClinical Psychopharmacology Unit, University College London, London, UK.
Rachel LeesAddiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK.
Kat PetrilliDepartment of Addictions, King's College London, London, UK.
Shelan OforiClinical Psychopharmacology Unit, University College London, London, UK.
Will LawnDepartment of Psychology, King's College London, London, UK.ORCID http://orcid.org/0000-0002-0143-2724
H Valerie CurranClinical Psychopharmacology Unit, University College London, London, UK.
Tom P FreemanAddiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK.ORCID http://orcid.org/0000-0002-5667-507X

Funding

RCUK | Medical Research Council (MRC) MR/P012728/1
6 · The paper itself

Abstract

backgroundCannabis use disorder (CUD) affects up to 1 in 5 people who try cannabis. In order to develop effective interventions to prevent and treat CUD, it is important to identify the factors that predict it. This longitudinal study investigated whether eight potential risk factors predicted CUD levels at 12-month follow-up.

methodsParticipants were 232 young adults (26-29 years) and adolescents (16-17 years) (48%/52% males/females) who took part in both the baseline and 12-month follow-up sessions of the London-based 'CannTeen' study. Half of the participants (n = 117) used cannabis 1-7 days/week at baseline and the other half had used cannabis maximum 10 times in their life. CUD was measured with the Mini Neuropsychiatric interview for DSM-5 CUD, which was used to categorise participants into no, mild, moderate, or severe CUD levels. Ordinal logistic regression was used to explore whether baseline CUD (yes/no), age-group, gender, days/week of cannabis use, problematic alcohol use, problematic tobacco use, past-year negative life events, and the COVID-19 lockdown predicted 12-month CUD levels in the full sample and in only those who used cannabis minimum once per week at baseline.

resultsHere we show that adolescent age (odds ratio = 3.26, p < 0.001) and CUD at baseline (odds ratio = 45.15, p < 0.001) predict higher CUD levels at follow-up. We do not find evidence to support associations with other factors. The same pattern of results is found when including only participants who used cannabis at baseline.

conclusionsCUD prevention and treatment should be targeted towards adolescents, who have a significantly greater risk of CUD than young adults.

Identifiers

PMID40683963
PMCPMC12276291

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.