Modeling Health Event Impact on Smoking Cessation
dc.contributor.author | Boudreaux, Edwin D | |
dc.contributor.author | O'Hea, Erin | |
dc.contributor.author | Wang, Bo | |
dc.contributor.author | Quinn, Eugene | |
dc.contributor.author | Bergman, Aaron L | |
dc.contributor.author | Bock, Beth C | |
dc.contributor.author | Becker, Bruce M | |
dc.date.accessioned | 2022-12-16T16:25:55Z | |
dc.date.available | 2022-12-16T16:25:55Z | |
dc.date.issued | 2022-02-27 | |
dc.identifier.citation | Boudreaux ED, O'Hea E, Wang B, Quinn E, Bergman AL, Bock BC, Becker BM. Modeling Health Event Impact on Smoking Cessation. J Smok Cessat. 2022 Feb 27;2022:2923656. doi: 10.1155/2022/2923656. PMID: 35284022; PMCID: PMC8898873. | en_US |
dc.identifier.eissn | 1834-2612 | |
dc.identifier.doi | 10.1155/2022/2923656 | en_US |
dc.identifier.pmid | 35284022 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14038/51473 | |
dc.description.abstract | Background: This study examined how cognitive and affective constructs related to an acute health event predict smoking relapse following an acute cardiac health event. Methods: Participants were recruited from emergency departments and completed cognitive and emotional measures at enrollment and ecological momentary assessments (EMA) for 84 days postvisit. Results: Of 394 participants, only 35 (8.9%) remained abstinent 84 days postvisit. Time to relapse was positively associated with age, actual illness severity, self-efficacy, and quit intentions. Conclusions: Older, seriously ill patients with strong confidence and intentions to quit smoking remain abstinent longer after discharge, but most still relapse within three months. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Journal of Smoking Cessation | en_US |
dc.relation.url | https://doi.org/10.1155/2022/2923656 | en_US |
dc.rights | Copyright © 2022 Edwin D. Boudreaux et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | Modeling Health Event Impact on Smoking Cessation | en_US |
dc.type | Journal Article | en_US |
dc.source.journaltitle | Journal of smoking cessation | |
dc.source.volume | 2022 | |
dc.source.beginpage | 2923656 | |
dc.source.endpage | ||
dc.source.country | England | |
dc.identifier.journal | Journal of smoking cessation | |
refterms.dateFOA | 2022-12-16T16:25:56Z | |
dc.contributor.department | Emergency Medicine | en_US |
dc.contributor.department | Population and Quantitative Health Sciences | en_US |
dc.contributor.department | Psychiatry | en_US |