Evidence map›Paper›PMID 38838604›Full record

ArticleAddictive behaviors2024

Depression screening outcomes among adolescents, young adults, and adults reporting past 30-day tobacco and cannabis use.

Shivani Mathur Gaiha, Maggie Wang, Mike Baiocchi, Bonnie Halpern-Felsher

Abstract read
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

4 authors.

Shivani Mathur GaihaStanford REACH Lab, Division of Adolescent Medicine, Department of Pediatrics, Stanford University School of Medicine, CA, United States; Division of Adolescent/Young Adult Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, United States; Faculty of Pediatrics, Harvard Medical School, Boston, United States.
Maggie WangDepartment of Biomedical Data Science, Stanford University, CA, United States.
Mike BaiocchiStanford REACH Lab, Division of Adolescent Medicine, Department of Pediatrics, Stanford University School of Medicine, CA, United States.
Bonnie Halpern-FelsherStanford REACH Lab, Division of Adolescent Medicine, Department of Pediatrics, Stanford University School of Medicine, CA, United States. Electronic address: Bonnie.HalpernFelsher@stanford.edu.

Funding

PROJECT 5: IMPACT OF CHANGING TOBACCO PRODUCT USE ON HEALTHCARE COSTS FOR GENERAL AND VULNERABLE POPULATIONSU54HL147127 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAX, WENDY B · 2018 to 2022
$20.4M
Countering E-cigarette Marketing in the Retail Environment among Adolescents and Young AdultsR00CA267477 · NCI · BOSTON CHILDREN'S HOSPITAL · PI SHIVANI MATHUR GAIHA · 2024 to 2026
$738k
Countering E-cigarette Marketing in the Retail Environment among Adolescents and Young AdultsK99CA267477 · NCI · STANFORD UNIVERSITY · PI GAIHA, SHIVANI MATHUR · 2021 to 2023
$442k
NCI NIH HHS K99 CA267477NCI NIH HHS R00 CA267477NHLBI NIH HHS U54 HL147127
6 · The paper itself

Abstract

backgroundFew studies examine the relationship between depression and use of specific tobacco and/or cannabis products among adolescents, young adults, and adults. We determined whether the odds of depression are greater among those who used specific tobacco and/or cannabis products and among co-users of tobacco and cannabis.

methodCross-sectional online survey of a national convenience sample of 13-40-year-olds (N = 6,038). The survey included depression screening and past 30-day use of specific tobacco and cannabis products (cigarettes; e-cigarettes, vaped cannabis, little cigars, cigarillos, cigars, hookah, chewing tobacco, smoked cannabis, edible cannabis, blunts). Analyses correspond to the total sample, and 13-17-, 18-24-, and 25-40-year-olds.

resultsAmong 5,281 individuals who responded to the depression screener and nine product use questions, 1,803 (34.1 %) reported co-use of at least one tobacco product and one cannabis product in the past 30 days. Past 30-day co-use was associated with higher likelihood of screening positive for depression compared to past 30-day use of tobacco-only (aOR = 1.32, 1.06-1.65; 0.006) or cannabis-only (aOR = 1.94, 1.28-2.94; <0.001). Screening positive for depression was more likely among those who reported past 30-day use of e-cigarettes (aOR = 1.56; 1.35-1.80; <0.001), cigarettes (aOR = 1.24, 1.04-1.48; 0.016), chewed tobacco (aOR = 1.91, 1.51-2.42; <0.001), and blunts (aOR = 1.22, 1.00-1.48; 0.053) compared to those who did not report past 30-day use of these products. Among the 2,223 individuals who screened positive for depression, the most used two-product combination was nicotine e-cigarettes and smoked cannabis (614 individuals, 27.6 %).

conclusionsScreening positive for depression was more likely among past 30-day co-users versus past 30-day users of tobacco-only or cannabis-only. Findings suggest that prevention programs for depression and substance use address tobacco and cannabis co-use.

Indexed as

Marijuana UseAdolescentAdultCross-Sectional StudiesDepressionElectronic Nicotine Delivery SystemsFemaleHumansMaleMarijuana SmokingMass ScreeningTobacco UseVapingYoung AdultAdolescentAdultCannabisCo-useCross-sectionalDepressionE-cigaretteMarijuanaMental healthSmokingSubstance useSurveyTobacco

Identifiers

PMID38838604
PMCPMC11208074

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.