Evidence map›Paper›PMID 37881176›Full record

ArticlePreventive medicine reports2023

Chronic disease as a risk factor for cigarette and e-cigarette use from young adulthood to adulthood.

Marshall K Cheney, Hairong Song, Shristi Bhochhibhoya, Yu Lu

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Marshall K CheneyDepartment of Health and Exercise Science, University of Oklahoma, 1401 Asp Avenue, Norman, OK, 73019, USA.
Hairong SongDepartment of Psychology, University of Oklahoma, Norman, OK USA.
Shristi BhochhibhoyaDepartment of Health and Exercise Science, University of Oklahoma, Norman, OK USA.
Yu LuDepartment of Health and Exercise Science, University of Oklahoma, Norman, OK USA.
University of Oklahoma · US

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
National Longitudinal Study of Adolescent to Adult Health (Add Health): Wave VII Core ProjectU01AG071448 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Allison E Aiello, Lauren M Gaydosh · 2021 to 2026
$40.2M
National Longitudinal Study of Adolescent to Adult Health (Add Health): Wave VI Cognition and Early Risk Factors for Dementia ProjectU01AG071450 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AIELLO, ALLISON E, HUMMER, ROBERT A · 2021 to 2025
$16.2M
NIA NIH HHS U01 AG071448NIA NIH HHS U01 AG071450NICHD NIH HHS P01 HD031921
6 · The paper itself

Abstract

Chronic disease prevalence in young adults is increasing with 15-20 % reporting 1 or more chronic diseases. This study examined cross-sectional and prospective relationships between chronic disease and e-cigarette/cigarette use from young adulthood to adulthood utilizing the U.S.- based National Longitudinal Study of Adolescent to Adult Health (Add Health). Add Health Study wave 3 (2001-2002; ages 18-26), wave 4 (2008; ages 24-34), and wave 5 (2016-2018; ages 33-44) were used. Past 30-day cigarette use at waves 3-5 and past 30-day e-cigarette use at wave 5 were assessed. Two measures of chronic disease were used: asthma (yes/no) and non-asthmatic chronic disease (yes/no) composed of 7 additional chronic diseases (diabetes, migraine, heart problem, hepatitis B/C, high blood pressure, epilepsy, and cancer). Weighted multilevel logistic regression (controlling for age, race/ethnicity, gender, and education) was used to assess cross-sectional associations at wave 3, and then prospective associations of wave 3 chronic disease (asthma and non-asthmatic) with waves 4 and 5 cigarette and wave 5 e-cigarette use. Logistic regressions showed no significant cross-sectional or prospective relationships between asthma and cigarette and e-cigarette use. However, wave 3 non-asthmatic chronic disease was significantly associated with wave 4 cigarette use (aOR 1.38,

Indexed as

AsthmaChronic diseaseE-cigaretteElectronic cigaretteTobaccoYoung adult

Identifiers

PMID37881176
PMCPMC10594544
OpenAlexW4387648661

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.