Evidence map›Paper›PMID 35128214›Full record

ArticleTobacco prevention & cessation2022

Association of tobacco and marijuana use with symptoms of depression and anxiety among adolescents and young adults in Texas.

Aslesha Sumbe, Anna V Wilkinson, Stephanie L Clendennen, Bara S Bataineh, Kymberle L Sterling, Baojiang Chen, Melissa B Harrell

Open access · goldAbstract read
In one paragraph

Article in Tobacco prevention & cessation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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.

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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. 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

7 authors at 2 institutions in 1 country.

Aslesha SumbeDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center, Austin, United States.
Anna V WilkinsonDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center, Austin, United States.
Stephanie L ClendennenDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center, Austin, United States.
Bara S BatainehDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center, Dallas, United States.
Kymberle L SterlingDepartment of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center, Dallas, United States.
Baojiang ChenDepartment of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center, Austin, United States.
Melissa B HarrellDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center, Austin, United States.
Texas Health and Science University · USUniversity of Texas Health Science Center at Dallas · US

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
NCI NIH HHS R01 CA239097
6 · The paper itself

Abstract

introductionYoung people with depression and/or anxiety may self-medicate with tobacco or tobacco with marijuana to reduce their symptoms. This study sought to differentiate between the use of tobacco products as intended and tobacco products modified to accommodate marijuana, and to explore their relationships with symptoms of depression and anxiety among youth and young adults.

methodsThe study is a secondary analysis of Wave 9 (Spring 2019) data from the Texas Adolescent Tobacco and Marketing Surveillance (TATAMS) (n=2439, N=274030). Anxiety and major depressive symptoms were measured by GAD-7 and PHQ-9, respectively.

resultsThe odds of reporting current use of e-cigarettes without marijuana (adjusted prevalence odds ratio, APOR=2.34; 95% CI: 1.30-4.21, p=0.005) and current use of combustible tobacco without marijuana (APOR=2.99; 95% CI: 1.26-7.09, p=0.014) were significantly higher among those who reported depression/anxiety comorbidity compared to those who reported no symptoms of major depressive symptoms (MDS), anxiety or comorbidity. The odds of reporting ever use of e-cigarettes with marijuana (APOR=3.68; 95% CI: 1.69- 8.00, p=0.001), current use of e-cigarettes with marijuana (APOR=2.76; 95% CI: 1.28-5.97, p=0.01) and ever use of combustible tobacco with marijuana (APOR=3.99; 95% CI: 1.66-9.58, p=0.002) were significantly higher among those reporting only MDS compared to those who reported no symptoms of MDS, anxiety or comorbidity.

conclusionsThe study findings can have implications for intervention planning, as interventions need to address marijuana and nicotine use in tobacco products and address anxiety and depression.

Indexed as

adolescentanxietydepressionmarijuanatobaccoyoung adult

Identifiers

PMID35128214
PMCPMC8792993
OpenAlexW4210251866

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.