Evidence map›Paper›PMID 29452981›Full record

ArticleAddictive behaviors2018

Body mass index and tobacco-product use among U.S. youth: Findings from wave 1 (2013-2014) of the Population Assessment of Tobacco and Health (PATH) Study.

Victoria R Green, Marushka L Silveira, Heather L Kimmel, Kevin P Conway

Open access · bronzeAbstract 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 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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
  4. 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
  5. Article
  6. Article
  7. Observational
  8. Review
  9. 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

4 authors at 2 institutions in 1 country.

Victoria R GreenNational Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, United States; Kelly Government Solutions, Rockville, MD, United States.
Marushka L SilveiraNational Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, United States; Kelly Government Solutions, Rockville, MD, United States. Electronic address: marushka.silveira@nih.gov.
Heather L KimmelNational Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, United States.
Kevin P ConwayRTI International, Rockville, MD, United States.
National Institutes of Health · USRTI International · US

Funding

Intramural NIH HHS Z99 DA999999NIDA NIH HHS HHSN271201100027C
6 · The paper itself

Abstract

introductionTobacco and obesity are leading contributors to mortality in the United States. Due to emerging changes in youth tobacco use, further examination of co-occurrence of these issues is warranted.

methodsThis study examined associations between body mass index (BMI) and tobacco-product use and whether these varied by gender in a nationally representative sample of 12,416 Wave 1 (2013-2014) U.S. youth (12-17 years) from the Population Assessment of Tobacco and Health Study. Multivariable logistic regression analyses examined the odds of past 30-day tobacco-product use according to BMI. BMI was analyzed categorically using the Centers for Disease Control and Prevention (CDC) BMI-for-age weight status categories (underweight/healthy weight, overweight, and obese) and as a continuous variable.

resultsYouth classified as overweight or obese were not more likely to use any tobacco, cigarettes, e-cigarettes, any cigar, or hookah. However, youth who were obese were more likely to use smokeless tobacco (Adjusted Odds Ratio (AOR) = 1.68, 95% Confidence Interval (CI): 1.01, 2.81). There were no significant gender interactions for these associations. When BMI was analyzed continuously, a 5-unit and 10-unit increase was significantly associated with using any tobacco, cigarettes, any cigar, and smokeless tobacco. This linear association was supported by similar results for a log-transformed BMI variable.

conclusionsFindings suggest a continuum between weight increase and tobacco-product use among American youth. Clinicians should consider screening for tobacco use among youth who gain weight within any weight class, not just those considered overweight or obese.

Indexed as

AdolescentBody Mass IndexChildCigarette SmokingCigar SmokingFemaleHumansLinear ModelsLogistic ModelsLongitudinal StudiesMaleMultivariate AnalysisObesityOdds RatioOverweightThinnessAdolescentBody mass indexEpidemiologic studiesTobacco

Identifiers

PMID29452981
PMCPMC5845762
OpenAlexW2788305252

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.