Evidence map›Paper›PMID 28965069›Full record

ArticleAddictive behaviors2018

Tobacco product use and mental health status among young adults.

Jessica L King, Beth A Reboussin, John Spangler, Jennifer Cornacchione Ross, Erin L Sutfin

Abstract read
In one paragraph

Article in Addictive behaviors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 99 citations in OpenAlex.

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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.

Jessica L KingWake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States. Electronic address: jlking@wakehealth.edu.
Beth A ReboussinWake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States. Electronic address: brebouss@wakehealth.edu.
John SpanglerWake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States. Electronic address: jspangle@wakehealth.edu.
Jennifer Cornacchione RossWake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States. Electronic address: jcornacc@wakehealth.edu.
Erin L SutfinWake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States. Electronic address: esutfin@wakehealth.edu.
Atrium Health Wake Forest Baptist · USWake Forest University · US

Funding

Training & Education Program p294-308P50CA180907 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RIBISL, KURT M. · 2013 to 2017
$20.2M
Tobacco Use during the Transition to AdulthoodR01CA141643 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SUTFIN, ERIN L · 2009 to 2020
$6.9M
NCI NIH HHS P50 CA180907NCI NIH HHS R01 CA141643
6 · The paper itself

Abstract

backgroundIndividuals with mental health conditions represent a priority population for tobacco control. This population smokes cigarettes at disproportionately higher rates than the general population, but less is known about the relationship between non-cigarette tobacco use and mental health status.

methodIn 2013, 2370 young adults recruited from 11 colleges in North Carolina and Virginia completed an online survey on tobacco use. We compared past 6-month self-reported mental health diagnosis, past 30-day depression score, and past 7-day stress score to past 30-day cigarette, e-cigarette, waterpipe, cigar, and smokeless tobacco use. Models adjusted for age, gender, race, ethnicity, and mother's education. Non-cigarette products were also adjusted for past 30-day cigarette use.

resultsAmong participants, 249 (10.5%) reported a mental health diagnosis, most commonly depression (5.5%), ADHD/ADD (4.5%), and anxiety (0.8%). Those who reported a mental health diagnosis had greater odds of using cigarettes (AOR=1.55; CI=1.01, 2.27). Mean stress score was 16.0 (SD=6.9) of possible 40. Higher stress scale score was associated with increased odds of e-cigarette (AOR=1.03; CI=1.01, 1.05), waterpipe (AOR=1.04; CI=1.01, 1.06), and cigarette (AOR=1.02; CI=1.00, 1.04) use. Mean depression score was 7.2 (SD=5.6) of possible 33. Higher depression scale score was associated with increased odds for e-cigarette (AOR=1.04; CI=1.01, 1.08) and cigarette (AOR=1.03; CI=1.01, 1.06) use.

conclusionFindings in this study provide further evidence of a potential relationship between non-cigarette tobacco products and mental health status. Tobacco control efforts aimed at reducing tobacco use disparities among mental health populations should focus on non-cigarette tobacco products in addition to cigarettes.

Indexed as

AdultCigarette SmokingComorbidityDepressive DisorderFemaleHumansMaleNorth CarolinaSmoking DevicesStress, PsychologicalStudentsUniversitiesVirginiaYoung AdultCollege studentsMental healthSmokingTobacco use

Identifiers

PMID28965069
PMCPMC5701872
OpenAlexW2760785796

What OpenQuestion holds

Textmetadata
LicenceTDM
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.