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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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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. |
format | Online Article Text |
id | pubmed-8898873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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