Evidence map›Paper›PMID 39968480›Full record

ArticleCannabis (Albuquerque, N.M.)2025

Are Changes in Negative Cannabis Expectancies, Peer Approval, and Perceptions of Dangerousness of Driving After Cannabis Use Associated with Changes in Instances of Driving After Cannabis Use Following a Mobile-Phone Based Intervention?

Sarah N Elder, Jenni B Teeters

Abstract read
In one paragraph

Article in Cannabis (Albuquerque, N.M.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Sarah N ElderDepartment of Psychological Sciences, Western Kentucky University.
Jenni B TeetersDepartment of Psychological Sciences, Western Kentucky University.

Funding

WKU Lead Faculty AwardP20GM103436 · NIGMS · UNIVERSITY OF LOUISVILLE · PI ERIC C ROUCHKA · 2012 to 2026
$60.1M
NIGMS NIH HHS P20 GM103436
6 · The paper itself

Abstract

Objective: Driving after cannabis use (DACU) has become an increasing public health concern nationwide. Although previous research has linked perceived peer approval, perceptions of dangerousness, and negative effect expectancies to DACU, no previous work has examined whether these constructs can be successfully targeted in an intervention or whether changes in these variables lead to changes in DACU. The present study is a secondary data analysis to investigate within-subject change and potential mechanisms of change in a pilot trial for a mobile phone-based intervention shown to significantly reduce DACU over time. Method: Participants were 66 emerging adults who completed the mobile-based intervention and provided 3-month follow-up data. Participants completed measures that assessed rates of DACU, negative cannabis expectancies, perceptions of dangerousness, and perceived peer-approval. Results: Results indicated that negative effect expectancies significantly increased from baseline to three-month follow-up, while perceived peer approval for DACU significantly decreased from baseline to three-month follow-up. Though significant within-subject change was found for all variables of interest, none of the variables of interest significantly mediated changes in instances of DACU over time. The results of the current study suggest that key variables associated with DACU-perceived peer approval and negative cannabis expectancies can be successfully targeted in a mobile-based brief intervention. Conclusions: Continued research investigating moderators and mediators of intervention outcomes is warranted.

Indexed as

cognitionsdriving after cannabis useinterventions

Identifiers

PMID39968480
PMCPMC11831896

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.