Evidence map›Paper›PMID 38782105›Full record

ArticleAmerican journal of preventive medicine2024

Behavioral Precursors of Nicotine Product Use Trajectories Among Youth.

Eugenia Buta, Ralitza Gueorguieva, Patricia Simon, Kathleen A Garrison

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Eugenia ButaDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut.
Ralitza GueorguievaDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut.
Patricia SimonDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Kathleen A GarrisonDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut. Electronic address: kathleen.garrison@yale.edu.

Funding

Yale Center for the Study of Tobacco Product Use and Addiction (YCSTP) Project 2: Addictive Threshold of Nicotine and the Impact of SweetenersU54DA036151 · NIDA · YALE UNIVERSITY · PI Mehmet Sofuoglu · 2018 to 2026
$41.6M
NIDA NIH HHS U54 DA036151
6 · The paper itself

Abstract

introductionPreventing nicotine use among youth is a public health priority. Nicotine use emerges from complex relationships between numerous factors. This project used network analysis to model behavioral precursors of nicotine use (knowledge, attitudes, perceptions, intentions) among youth who had never used nicotine and determine which predicted future trajectories of use across multiple nicotine products.

methodsData were from the Population Assessment of Tobacco and Health study (2013-2018; analyzed 2023-2024), youth ages 12-17, who reported never using nicotine at Wave 1. Network structure was determined for behavioral precursors at Wave 1 and central network nodes were identified (N=5,087). Central nodes were then tested as predictors of trajectories of use across multiple nicotine products during Waves 1-4 (N=3,851).

resultsCentral nodes of the Wave 1 network were harm perception, expectancy that tobacco would calm anger/reduce stress, and intention to try. Those with lower intent to try at Wave 1 had lower odds of being in an Experimentation or Use class versus a Nonuse class during Waves 1-4 (p<0.0001). Those with more accurate harm perception had lower odds of being in an Experimentation versus Nonuse class (p=0.004). Those with positive expectancies had higher odds of being in an Experimentation versus Nonuse or Use class (p=0.04, 0.02).

conclusionsFindings suggest a network model of behavioral precursors of nicotine use that can be tested, including central nodes that predicted trajectories of use across multiple nicotine products, and therefore may be priority intervention targets.

Indexed as

IntentionAdolescentAdolescent BehaviorChildFemaleHealth Knowledge, Attitudes, PracticeHumansMaleNicotineTobacco ProductsNicotine

Identifiers

PMID38782105
PMCPMC12739751

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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.