Evidence map›Paper›PMID 28376978›Full record

ArticleAmerican journal of health behavior2017

Obesity and Cigarette Smoking: Extending the Link to E-cigarette/Vaping Use.

H Isabella Lanza, Patricia Pittman, Jennifer Batshoun

Abstract read
In one paragraph

Article in American journal of health behavior, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
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  10. Observational
  11. Marijuana, e-cigarette, and tobacco product use in young adults who underwent pediatric bariatric surgery.Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery · 2023
    Observational
  12. Article
  13. Weighing the Risk: Developmental Pathways and Processes Underlying Obesity to Substance Use in Adolescence.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2022
    Review
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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

3 authors.

H Isabella LanzaAssistant Professor, Undergraduate Research Assistant, Department of Human Development, California State University, Long Beach, CA;, Email: Isabella.Lanza@csulb.edu.
Patricia PittmanUndergraduate Research Assistant, Department of Human Development, California State University, Long Beach, CA.
Jennifer BatshounUndergraduate Research Assistant, Department of Human Development, California State University, Long Beach, CA.

Funding

CSULB Building Biomedical Research Program: Overall ComponentUL1GM118979 · NIGMS · CALIFORNIA STATE UNIVERSITY LONG BEACH · PI CHUN, CHI-AH, DILLON, JESSE · 2015 to 2023
$20.7M
CSULB Building Biomedical Research Program: Student Training CoreTL4GM118980 · NIGMS · CALIFORNIA STATE UNIVERSITY LONG BEACH · PI CHUN, CHI-AH, DILLON, JESSE · 2015 to 2023
$12.3M
CSULB Building Biomedical Research Program: Research Enrichment CoreRL5GM118978 · NIGMS · CALIFORNIA STATE UNIVERSITY LONG BEACH · PI CHUN, CHI-AH, DILLON, JESSE · 2015 to 2023
$7.3M
NIGMS NIH HHS RL5 GM118978NIGMS NIH HHS TL4 GM118980NIGMS NIH HHS UL1 GM118979
6 · The paper itself

Abstract

objectivesIn recent years, electronic tobacco (e-cigarette/vaping) use among young adults has grown exponentially. Given past research linking obesity and cigarette smoking, assessing whether this relationship extends to electronic tobacco use is warranted. The current study examined weight status as a correlate of substance use patterns reflecting electronic tobacco use.

methodsSurvey data were collected from a convenience sample of 452 (59% female) undergraduates attending a large, public university during the 2015-2016 academic year. Latent class analysis (LCA) was conducted to identify substance use classes and examine weight status as a covariate of class membership.

resultsLCA analyses identified 4 classes: High Substance Use (19%), Risky Alcohol Use (14%), Cigarette/Electronic Tobacco Use (17%), and Low Substance Use (50%). Both obesity status and greater deviation from one's group body mass index (BMI) norm were associated with a higher likelihood of belonging to the Cigarette/Electronic Tobacco Use class.

conclusionsFindings suggest that electronic tobacco use may fit well into previously established relationships between higher weight status and tobacco use. Future research should examine the longitudinal processes and pathways underlying the relationship between weight status and electronic tobacco use.

Indexed as

Cigarette SmokingElectronic Nicotine Delivery SystemsObesityVapingAdolescentCaliforniaCross-Sectional StudiesFemaleHealth SurveysHumansMaleYoung Adult

Identifiers

PMID28376978
PMCPMC5506838

What OpenQuestion holds

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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.