Evidence map›Paper›PMID 24090626›Full record

ArticleAddictive behaviors2014

Young adults who smoke cigarettes and marijuana: analysis of thoughts and behaviors.

Danielle E Ramo, Kevin L Delucchi, Howard Liu, Sharon M Hall, Judith J Prochaska

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Addictive behaviors, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05824273 (Leveraging Social Media to Increase Lung Cancer Screening Awareness, Knowledge and Uptake in High-Risk Populations), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.9field-weighted citation impact, top 14% 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.

NCT05824273 nacompletednot on this mapstarted 2023, after this paper: background citation

Leveraging Social Media to Increase Lung Cancer Screening Awareness, Knowledge and Uptake in High-Risk Populations

TypeinterventionalSponsorHackensack Meridian HealthRan2023 to 2024Enrolled512ConditionsLung CancerArmsLungTalk, Non-tailored intervention - Standard of practice
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 32 citations in OpenAlex.

  1. Multiple Health Risk Behaviors in Young Adult Smokers: Stages of Change and Stability over Time.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2020
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  8. Theoretical understanding of contextual motivations for sustained adolescent marijuana use in South Africa.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2021
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  9. Review
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  15. Cannabis Mobile Apps: A Content Analysis.JMIR mHealth and uHealth · 2015
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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 2 institutions in 1 country.

Danielle E RamoDepartment of Psychiatry, University of California, San Francisco, 401 Parnassus Avenue, Box TRC 0984, San Francisco, CA 94143, United States. Electronic address: Danielle.ramo@ucsf.edu.
Kevin L Delucchi
Howard Liu
Sharon M Hall
Judith J Prochaska
University of California, San Francisco · USStanford University · US

Funding

TREATMENTS FOR COMPLEX PATIENTS IN NEW SETTINGSP50DA009253 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PROCHASKA, JUDITH J. · 1994 to 2014
$28.2M
Substance Use Disorders Treatment/Services Research Training ProgramT32DA007250 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Derek D Satre, Janice Y Tsoh · 1991 to 2026
$7.4M
Evaluation of Tobacco Treatment Strategies for Inpatient PsychiatryR01MH083684 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PROCHASKA, JUDITH J. · 2009 to 2013
$2.6M
Treatment of Complex Patients: Emphasis on NicotineK05DA016752 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HALL, SHARON M. · 2003 to 2012
$1.1M
Social Media Intervention for Young Adult SmokersK23DA032578 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RAMO, DANIELLE E · 2012 to 2016
$927k
NIDA NIH HHS 5K05 DA016752NIDA NIH HHS K05 DA016752NIDA NIH HHS K23 DA032578NIDA NIH HHS P50 DA009253NIDA NIH HHS P50 DA09253NIDA NIH HHS T32 DA007250NIMH NIH HHS R01 MH083684
6 · The paper itself

Abstract

introductionSmoking both cigarettes and marijuana is increasingly common among young adults, yet little is known about use patterns, motivations, or thoughts about abstinence. In a U.S. sample, this study explored young adults' severity of cigarette and marijuana co-use, quit attempts, and thoughts about use.

methodsYoung adults age 18-to-25 who had smoked at least one cigarette in the past 30 days completed an anonymous online survey.

resultsOf 1987 completed surveys, 972 participants reported both past-month cigarette and marijuana use (68% male, 71% Caucasian, mean age 20.4 years [SD=2.0]). Frequency of use, temptations to use, measures of dependence, decisional balance, and past-year quit attempts were associated across the two substances (all p<.05), but not motivation to quit. Relative to marijuana, participants reported greater desire and a later stage of change for quitting cigarettes and were more likely to endorse a cigarette abstinence goal, yet they had lower expectancy of success with quitting cigarettes and with staying quit (all p<.001).

conclusionsCigarette and marijuana use, temptations to use, and pros/cons of using were related in this young adult sample. Differences in motivation and thoughts about abstinence, however, suggest that young adults may be more receptive to interventions for tobacco than marijuana use. Use patterns and cognitions for both substances should be considered in prevention and intervention efforts.

Indexed as

Attitude to HealthMotivationAdolescentFemaleHealth BehaviorHumansMaleMarijuana SmokingSmokingSmoking CessationSurveys and QuestionnairesUnited StatesYoung AdultCigaretteInternetMarijuanaSurveyTobaccoYoung adulthood

Identifiers

PMID24090626
PMCPMC3858522
OpenAlexW2052526196

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.