Evidence map›Paper›PMID 38805771›Full record

ArticleAddictive behaviors2024

Blunt smoking during emerging adulthood: Characterizing transitions in cannabis and cigar co-use among a diverse cohort in Texas.

Dale S Mantey, LaTrice Montgomery, Baojiang Chen, Onyinye Omega-Njemnobi, Melissa B Harrell

Abstract readComparative Study
In one paragraph

Article in Addictive behaviors, 2024. 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
–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

3 citing papers in PubMed.

  1. Psychological Distress is Associated With Blunt Use Among Youth in the United States: Insights From the 2021-2023 National Youth Tobacco Surveys.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  2. Impact of Hispanic Ethnicity on Adolescent Tobacco Use Estimates in the United States.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  3. 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

5 authors.

Dale S ManteyUTHealth, University of Texas School of Public Health, Department of Health Promotion and Behavioral Science, USA; UTHealth, University of Texas School of Public Health, Department of Epidemiology, Human Genetics & Environmental Sciences, USA; Michael and Susan Dell Center for Healthy Living, USA. Electronic address: Dale.S.Mantey@uth.tmc.edu.
LaTrice MontgomeryUniversity of Cincinnati College of Medicine, Addiction Sciences Division, Department of Psychiatry & Behavioral Neuroscience, USA.
Baojiang ChenMichael and Susan Dell Center for Healthy Living, USA; UTHealth, University of Texas School of Public Health, Department of Biostatics and Data Science, USA.
Onyinye Omega-NjemnobiUTHealth, University of Texas School of Public Health, Department of Epidemiology, Human Genetics & Environmental Sciences, USA.
Melissa B HarrellUTHealth, University of Texas School of Public Health, Department of Epidemiology, Human Genetics & Environmental Sciences, USA; Michael and Susan Dell Center for Healthy Living, USA.

Funding

ENDS use trajectories from adolescence through young adulthood: A longitudinal study of risk factors and profilesR01CA239097 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HARRELL, MELISSA BLYTHE · 2019 to 2023
$3.3M
Middle School Cluster RCT to Evaluate E-Cigarette Prevention Program: CATCH My BreathR01CA242171 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KELDER, STEVEN HAROLD · 2019 to 2023
$3.1M
NCI NIH HHS R01 CA239097NCI NIH HHS R01 CA242171
6 · The paper itself

Abstract

objectiveTo characterize and compare transitions in blunt smoking behaviors among a diverse cohort of youth and young adults observed between Spring 2019 and Fall 2021.

methodsWe analyzed n = 14,152 observations (i.e., completed surveys) provided by n = 2,610 youth and young adults over six (6) waves from Spring 2019 to Fall 2021 via the Texas Adolescent Tobacco and Marketing Surveillance (TATAMS) system. Participants were recruited in age-cohorts, reflecting 16.5 years (0.5), 18.5 years (0.6), and 20.1 years (0.8) of age at baseline. We applied a three-state Markov model to estimate blunt initiation (never → ever), onset (never → current), continuation (ever → current), and discontinuation (current → ever). First, we compared transitions in blunt smoking by race/ethnicity, with non-Hispanic (NH) Whites as the referent. Second, we stratified the Markov models by race/ethnicity to identify common and unique predictors of blunt transitions, including sex, age, alcohol use, depression, anxiety, and tobacco cigar smoking.

resultsAt baseline, 73% of participants had never smoked blunts, 15.3% had ever smoked blunts s, and 11.7% currently smoked blunts. NHB (HR: 2.15; 95% CI: 1.21-3.84) and Hispanic (HR: 1.72; 95% CI: 1.08-2.72) participants had significantly greater risk of blunt smoking initiation, relative to NHWs. Similarly, NHBs had great risk for continuation (HR: 1.65; 95% CI: 1.16-2.34) and lower risk of discontinuation (HR: 0.57; 95% CI: 0.42-0.77), relative to NHWs. Alcohol use predicted greater risk for onset among NHW (HR: 5.22; 95% CI: 1.40-19.45), NHB (HR: 3.14; 95% CI: 1.32-7.46), and Hispanic (HR: 2.99; 95% CI: 1.80-4.97) participants.

conclusionsBlunt smoking initiation was most common among NHB and Hispanic youth and young adults while risk for sustained blunt smoking was higher in NHB youth and young adults. Research and interventions should investigate the link between alcohol use and elevated blunt smoking among young people.

Indexed as

Cigar SmokingMarijuana SmokingAdolescentBlack or African AmericanCohort StudiesFemaleHispanic or LatinoHumansMaleMarkov ChainsTexasWhiteYoung AdultBluntsCannabisCigarsDisparitiesLongitudinal Models

Identifiers

PMID38805771
PMCPMC12189542

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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.