Evidence map›Paper›PMID 33320251›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2020

Cross-Sectional Association Between Lifetime Use of Electronic Cigarettes With or Without Marijuana and Self-Reported Past 12-Month Respiratory Symptoms as well as Lifetime Respiratory Diseases in U.S. Adults.

Zidian Xie, Dongmei Li

Open access · hybridAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Tobacco Use and Respiratory Symptoms Among Adults: Findings From the Longitudinal Population Assessment of Tobacco and Health (PATH) Study 2014-2016.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Article
  5. Article
  6. Vaping and Lung Inflammation and Injury.Annual review of physiology · 2022
    Review
  7. Article
  8. Early Studies of Respiratory Disease Associations with Nicotine and Tobacco Use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    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

2 authors at 1 institution in 1 country.

Zidian XieDepartment of Clinical and Translational Research, University of Rochester Medical Center, Rochester, NY.
Dongmei LiDepartment of Clinical and Translational Research, University of Rochester Medical Center, Rochester, NY.
University of Rochester Medical Center · US

Funding

The University of Rochester's Clinical and Translational Science InstituteUL1TR002001 · NCATS · UNIVERSITY OF ROCHESTER · PI WILSON, KAREN M., ZAND, MARTIN S · 2016 to 2024
$34.6M
WNY Center for Research on Flavored Tobacco Products (CRoFT)U54CA228110 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI GONIEWICZ, MACIEJ LUKASZ, O'CONNOR, RICHARD J · 2018 to 2022
$19.8M
NCATS NIH HHS UL1 TR002001NCI NIH HHS U54 CA228110
6 · The paper itself

Abstract

introductionThe use of electronic cigarettes (vaping), especially with marijuana, has become increasingly popular among adults. AIMS AND

methodsThe Population Assessment of Tobacco and Health study Wave 4 data on 33 606 adult participants who indicated ever using electronic cigarettes were included in the study. By controlling for confounding variables (such as age and smoking history), multivariable weighted logistic regression models were used to examine the cross-sectional association between lifetime e-cigarette use with or without marijuana and self-reported past 12-month respiratory symptoms as well as lifetime respiratory diseases.

resultsCompared to adults who never vaped, adults who had ever vaped with marijuana had a significantly higher association with self-reported past 12-month respiratory symptoms but not lifetime respiratory diseases. Compared to adults who had ever vaped without marijuana, adults who had ever vaped at least sometimes with marijuana had a significantly greater risk of having wheezing/whistling in the chest (adjusted odds ratio [aOR] = 1.21, 95% confidence interval [CI]: 1.01, 1.44), chest sounded wheezy during or after exercise (aOR = 1.59, 95% CI: 1.31, 1.93), and had a dry cough at night (aOR = 1.35, 95% CI: 1.16, 1.57), while adults who had ever vaped rarely with marijuana had a significantly greater risk of having wheezing/whistling in the chest (aOR = 1.31, 95% CI: 1.06, 1.61), chest sounded wheezy during or after exercise (aOR = 1.24, 95% CI: 1.01, 1.52), and had a dry cough at night (aOR = 1.24, 95% CI: 1.04, 1.47).

conclusionsLifetime e-cigarette use with marijuana is associated with self-reported past 12-month respiratory symptoms in adults. IMPLICATIONS: The use of e-cigarettes with marijuana has become prevalent in recent years. Our cross-sectional study suggests that there may be respiratory health symptoms associated with ever vaping with marijuana that is independent of nicotine vaping, which should raise public awareness of potential health risks associated with the use of e-cigarettes with marijuana. Further longitudinal studies on the respiratory health effects of e-cigarette use with marijuana are warranted.

Indexed as

Self ReportAdolescentAdultCannabisCross-Sectional StudiesElectronic Nicotine Delivery SystemsFemaleHumansLongitudinal StudiesMaleRespiration DisordersTobacco UseUnited StatesVapingYoung Adult

Identifiers

PMID33320251
PMCPMC7737477
OpenAlexW3110727078

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.