{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Buta E"],"funding":["Yale University","NIDA NIH HHS","U.S. Food and Drug Administration","National Institutes of Health","National Institute on Drug Abuse"],"pagination":["360-369"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12739751"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["67(3)"],"pubmed_abstract":["<h4>Introduction</h4>Preventing 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.<h4>Methods</h4>Data 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 m"],"journal":["American journal of preventive medicine"],"pubmed_title":["Behavioral Precursors of Nicotine Product Use Trajectories Among Youth."],"pmcid":["PMC12739751"],"funding_grant_id":["U54 DA036151","U54DA036151"],"pubmed_authors":["Simon P","Buta E","Garrison KA","Gueorguieva R"],"additional_accession":[]},"is_claimable":false,"name":"Behavioral Precursors of Nicotine Product Use Trajectories Among Youth.","description":"<h4>Introduction</h4>Preventing 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.<h4>Methods</h4>Data 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 m","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Sep","modification":"2026-06-06T05:52:50.658Z","creation":"2026-05-27T03:11:49.994Z"},"accession":"S-EPMC12739751","cross_references":{"pubmed":["38782105"],"doi":["10.1016/j.amepre.2024.05.009"]}}