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.
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.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Smokeless tobacco use and public health nutrition: a global systematic review.Public health nutrition · 2023Pooled it
- Exploring Vaping Patterns and Weight Management-Related Concerns among Adolescents and Young Adults: A Systematic Review.Journal of clinical medicine · 2024Review
- 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 · 2023Observational
- 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 · 2022Review
- Prospective Associations of Tobacco Weight Control Beliefs with E-Cigarette Use Patterns in the PATH Study.Substance use & misuse · 2022Article
- Intention to lose weight and use of electronic cigarettes among adolescents.Preventive medicine reports · 2021Article
- Cigarette Use and Adolescent Metabolic and Bariatric Surgery.Obesity (Silver Spring, Md.) · 2021Observational
- Review
- An examination of how age of onset for alcohol, cannabis, and tobacco are associated with physical activity, screen time and BMI as students are preparing to graduate from high school.Preventive medicine reports · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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.
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Registered trials
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.