Evidence map›Paper›PMID 36120841›Full record

ArticleScandinavian journal of public health2023

Cannabis use disorder in relation to socioeconomic factors and psychiatric comorbidity: A cluster analysis of three million individuals born in 1970-2000.

Rynaz Rabiee, Andreas Lundin, Emilie Agardh, Peter Allebeck, Anna-Karin Danielsson

Open access · hybridAbstract read
In one paragraph

Article in Scandinavian journal of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Rynaz RabieeDepartment of Global Public Health, Karolinska Institutet, Sweden.ORCID 0000-0002-3770-9043
Andreas LundinDepartment of Global Public Health, Karolinska Institutet, Sweden.
Emilie AgardhDepartment of Global Public Health, Karolinska Institutet, Sweden.
Peter AllebeckDepartment of Global Public Health, Karolinska Institutet, Sweden.ORCID 0000-0002-2778-6467
Anna-Karin DanielssonDepartment of Global Public Health, Karolinska Institutet, Sweden.
Karolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCannabis use disorder (CUD) is one of the main reasons for seeking substance use treatment. It is thus important to monitor and increase knowledge of individuals with CUD utilizing healthcare. We aimed to examine the number of CUD diagnoses over time, compare individuals with CUD with those without and identify subgroups based on CUD diagnosis, sex, birth year, socioeconomic factors and psychiatric comorbidity.

methodsA Swedish, population-based study with 3,307,759 individuals, born in 1970-2000, with register data extending to 2016. K-mode cluster analysis was used to identify potential subgroups.

resultsThe number of individuals with a CUD diagnosis was 14,046 (0.42%). CUD diagnoses increased over time (born 1990-1994: 61 per 100,000, born 1995-2000: 107 per 100,000, by 2016). A majority of those with a CUD had another psychiatric diagnosis (80%, compared with 19% for those without CUD). Four clusters were identified. Cluster 1 comprised mainly men with low income and substance use disorders, clusters 2, 3 and 4 comprised mainly women with higher proportions of mood-related, neurotic and stress-related and behavioural disorders.

conclusions

Indexed as

CannabisMarijuana AbuseSubstance-Related DisordersCluster AnalysisComorbidityFemaleHumansMaleMiddle AgedSocioeconomic FactorsCannabiscannabis use disordercluster analysispsychiatric comorbidityregister-based epidemiology

Identifiers

PMID36120841
PMCPMC9903242
OpenAlexW4296331278

What OpenQuestion holds

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LicenceCC BY
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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.