ArticlePreventive medicine2020
Prospective associations between nicotine beliefs and tobacco-related susceptibility, curiosity, and use in U.S. adults.
Article in Preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Impact of Survey Item Wording and Response Options on Prevalence of Beliefs About Nicotine Causing Cancer: A Randomized Survey Experiment.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026Trial
- Effect of brief nicotine corrective messaging on nicotine beliefs in persons who use opioids.Experimental and clinical psychopharmacology · 2022Trial
- Responses to e-cigarette health messages among young adult sexual minoritized women and nonbinary people assigned female at birth: Assessing the influence of message theme and format.Drug and alcohol dependence · 2022Trial
- Latent Classes of Perceived Addictiveness Predict Marijuana, Alcohol, and Tobacco Use in Youth and Young Adults.Substance use & misuse · 2023Article
- Behavior change, health, and health disparities 2020: Some current challenges in tobacco control and regulatory science.Preventive medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 6 institutions in 1 country.
Funding
Abstract
Low harm perceptions of tobacco products have been associated with use of those products in youth and adults, but this relationship has not been assessed for nicotine beliefs. This study used data from a national sample of adults aged 18-40 in Wave 9 (Spring 2016) of the Truth Initiative Young Adult Cohort Study to examine correlations and prospective associations between the latent classes of nicotine beliefs and susceptibility, curiosity, and use of tobacco products in 3122 adults who also completed Wave 10 (Fall 2016). At Wave 9, four latent classes of beliefs characterized the role of nicotine in the health risks of smoking: Class 1, large role, 51%; Class 2, large role/don't know, 9.4%; Class 3, small role in health, 32.5%; and Class 4, none/small role in cancer, 7.5%. Latent classes of nicotine beliefs were highly correlated with susceptibility and curiosity to use cigarettes, e-cigarettes, and hookah, as well as past 30-day use of a range of tobacco products at Wave 9 among never users. Classes 3 and 4 had the highest prevalence of past 30-day tobacco use; never users in these classes reported the greatest susceptibility to try cigarettes, hookah, and e-cigarettes at Wave 9. Class 4 had higher odds of increased e-cigarettes use at follow-up compared to Class 1. There were few prospective associations between nicotine beliefs latent class, susceptibility, and curiosity at Wave 10. Nicotine beliefs are associated with tobacco-related outcomes and, if assessed, may provide novel information to guide tobacco prevention and intervention efforts.
Indexed as
Identifiers
What OpenQuestion holds
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.