Evidence map›Paper›PMID 38975281›Full record

ArticlePreventive medicine reports2024

Cannabis use, social support and social engagement among working-age adults in rural America.

Yiping Li, Danielle Rhubart

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. 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

2 authors.

Yiping LiDepartment of Biobehavioral Health, The Pennsylvania State University, Biobehavioral Health Building, University Park, PA 16802, USA.
Danielle RhubartDepartment of Biobehavioral Health, The Pennsylvania State University, Biobehavioral Health Building, University Park, PA 16802, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Cannabis use has been linked to physical, psychological, and behavioral changes. Although research indicates separately that informal social support and formal social engagement - which are correlated measures - serve as protective factors in cannabis use, much of this research focuses on youth and more urban samples, limiting our understanding of if these findings are true for rural populations where social support and social engagement are particularly important for health and health behaviors. To fill the research gap, this study examines the effects of informal social support (tangible support and emotional support) and formal social engagement on cannabis use among rural working-age adults. Methods: This research analyzed 1,122 observations from a cross-sectional online survey conducted in 2022 of working-age adults (18-64) from rural America. Multilevel logistic regression models were used to predict cannabis use in the past 12 months using informal social support (tangible support and emotional support) and formal social engagement and other sociodemographic covariates and state legalization status. Results: Multilevel logistic modeling indicates that low emotional support and low formal social engagement are associated with a higher odds of reporting cannabis use in the past 12 months among rural working-age adults, net of other sociodemographic variables and state legalization status. Conclusions: The study suggests that emotional support and social engagement may contribute to cannabis use prevention among rural working-age adults. These findings should inform future research as well as the development of tailored health interventions targeting rural working-age adults.

Indexed as

Cannabis useEmotional supportFormal social engagementInformal social supportRural working-age adultsTangible support

Identifiers

PMID38975281
PMCPMC11225026

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.