Evidence map›Paper›PMID 35134629›Full record

ArticleAddictive behaviors2022

Psychosocial predictors of longitudinal changes in tobacco and cannabis use among young adults.

Katelyn F Romm, Yan Wang, Zongshuan Duan, Breesa Bennett, Caroline Fuss, Yan Ma, Melissa D Blank, Bethany C Bray, Jasjit S Ahluwalia, Carla J Berg

Abstract read
In one paragraph

Article in Addictive behaviors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

10 authors.

Katelyn F RommDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC 20052, USA; George Washington Cancer Center, George Washington University, Washington, DC 20052, USA. Electronic address: kromm@gwu.edu.
Yan WangDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC 20052, USA.
Zongshuan DuanDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC 20052, USA.
Breesa BennettDepartment of Epidemiology, Milken Institute School of Public Helath, George Washington University, Washington, DC 20052, USA.
Caroline FussDepartment of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC 20052, USA.
Yan MaDepartment of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Washington, DC 20052, USA.
Melissa D BlankDepartment of Psychology, West Virginia University, Morgantown WV 26506, USA.
Bethany C BrayInstitute for Health Research and Policy, The Univeristy of Illinois Chicago, Chicago IL 60607, USA.
Jasjit S AhluwaliaDepartment of Behavioral and Social Sciences, Brown University School of Public Health, and Brown University Cancer Center, Providence RI 02912, USA.
Carla J BergDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC 20052, USA; George Washington Cancer Center, George Washington University, Washington, DC 20052, USA.

Funding

Using wearables and EMA to examine the links between cannabis and depressionP20GM130414 · NIGMS · BROWN UNIVERSITY · PI Tyler Blake Wray · 2019 to 2026
$22.0M
Testing a Digital Therapeutic for Smoking Cessation among Hispanic Persons who SmokeU54MD015946 · NIMHD · UNIVERSITY OF HOUSTON · PI Fatima Aziz Merchant · 2020 to 2026
$22.0M
Regulatory Impact on Vape Shops and Young Adults' Use of ENDS - Diversity SupplementR01CA215155 · NCI · GEORGE WASHINGTON UNIVERSITY · PI BERG, CARLA J · 2018 to 2022
$3.4M
Market Research to Predict Emerging Tobacco Product Use in Diverse Young AdultsR01CA179422 · NCI · EMORY UNIVERSITY · PI BERG, CARLA J · 2013 to 2017
$2.7M
Smoke-free Air Coalitions in Georgia and Armenia: A Community Randomized TrialR01TW010664 · FIC · EMORY UNIVERSITY · PI BERG, CARLA J, KEGLER, MICHELLE C · 2017 to 2021
$1.5M
Emory-Georgia Clean Air Research & Education (CARE) ProgramD43ES030927 · NIEHS · EMORY UNIVERSITY · PI BERG, CARLA J, CAUDLE, WILLIAM MICHAEL · 2019 to 2025
$1.2M
Assessing IQOS Marketing Influences and Consumer Behavior in Israel: Implications for the USR01CA239178 · NCI · GEORGE WASHINGTON UNIVERSITY · PI BERG, CARLA J, LEVINE, HAGAI · 2019 to 2021
$1.2M
Helping Everyone Achieve a LifeTime of Health - Future Addiction Scientist TrainingR25DA054015 · NIDA · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI OBASI, EZEMENARI M., REITZEL, LORRAINE R · 2021 to 2025
$1.0M
Data Driven Methods for Missing Data Imputation in Surgical Disparities ResearchR01MD013901 · NIMHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MA, YAN · 2019 to 2022
$996k
FIC NIH HHS R01 TW010664NCI NIH HHS R01 CA179422NCI NIH HHS R01 CA215155NCI NIH HHS R01 CA239178NIDA NIH HHS R25 DA054015NIEHS NIH HHS D43 ES030927NIGMS NIH HHS P20 GM130414NIMHD NIH HHS R01 MD013901NIMHD NIH HHS U54 MD015946
6 · The paper itself

Abstract

introductionIn recent years, cigarette use has decreased, but alternative tobacco product and cannabis use has increased in young adults. Thus, research regarding intraindividual changes in tobacco product and cannabis use in this population, and related psychosocial predictors, is warranted.

methodsWe analyzed data from 3,006 young adults (M

resultsResults indicated decreases in likelihood of using each tobacco product over time, but no significant change in likelihood of cannabis use. Psychosocial predictors of baseline use across products included depressive symptoms and extraversion, as well as ACEs and openness for nearly all products (e.g., except traditional cigars). Psychosocial predictors of less decreases in use likelihood over time included: for cigarettes and traditional cigars, ACEs; for e-cigarettes, extraversion; for little cigars/cigarillos, depressive symptoms and extraversion; for SLT, openness; and for hookah, neuroticism (controlling for sociodemographics). Predictors of greater decreases in likelihood of use over time included: for e-cigarettes and hookah, conscientiousness; and for cannabis, agreeableness.

conclusionsInterventions to reduce young adults' use might target distinct risk/protective factors for using different products (and combinations). Moreover, results regarding decreasing likelihood of using tobacco products but not cannabis over time warrant replication and explanation in other samples.

Indexed as

CannabisElectronic Nicotine Delivery SystemsTobacco ProductsTobacco, SmokelessAdultEthnicityFemaleHumansLongitudinal StudiesMaleMinority GroupsTobacco UseYoung AdultCannabis useLatent growth modelingRisk factorsTobacco useYoung adults

Identifiers

PMID35134629
PMCPMC9021279

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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.