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Modeling Health Event Impact on Smoking Cessation

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 ec...

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Autores principales: Boudreaux, Edwin D., O'Hea, Erin, Wang, Bo, Quinn, Eugene, Bergman, Aaron L., Bock, Beth C., Becker, Bruce M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898873/
https://www.ncbi.nlm.nih.gov/pubmed/35284022
http://dx.doi.org/10.1155/2022/2923656
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author Boudreaux, Edwin D.
O'Hea, Erin
Wang, Bo
Quinn, Eugene
Bergman, Aaron L.
Bock, Beth C.
Becker, Bruce M.
author_facet Boudreaux, Edwin D.
O'Hea, Erin
Wang, Bo
Quinn, Eugene
Bergman, Aaron L.
Bock, Beth C.
Becker, Bruce M.
author_sort Boudreaux, Edwin D.
collection PubMed
description 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.
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spelling pubmed-88988732022-03-11 Modeling Health Event Impact on Smoking Cessation Boudreaux, Edwin D. O'Hea, Erin Wang, Bo Quinn, Eugene Bergman, Aaron L. Bock, Beth C. Becker, Bruce M. J Smok Cessat Research Article 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. Hindawi 2022-02-27 /pmc/articles/PMC8898873/ /pubmed/35284022 http://dx.doi.org/10.1155/2022/2923656 Text en Copyright © 2022 Edwin D. Boudreaux et al. https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Research Article
Boudreaux, Edwin D.
O'Hea, Erin
Wang, Bo
Quinn, Eugene
Bergman, Aaron L.
Bock, Beth C.
Becker, Bruce M.
Modeling Health Event Impact on Smoking Cessation
title Modeling Health Event Impact on Smoking Cessation
title_full Modeling Health Event Impact on Smoking Cessation
title_fullStr Modeling Health Event Impact on Smoking Cessation
title_full_unstemmed Modeling Health Event Impact on Smoking Cessation
title_short Modeling Health Event Impact on Smoking Cessation
title_sort modeling health event impact on smoking cessation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898873/
https://www.ncbi.nlm.nih.gov/pubmed/35284022
http://dx.doi.org/10.1155/2022/2923656
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