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dc.contributor.authorKim, Sun S.
dc.contributor.authorFang, Hua (Julia)
dc.contributor.authorBernstein, Kunsook
dc.contributor.authorZhang, Zhaoyang
dc.contributor.authorDiFranza, Joseph R.
dc.contributor.authorZiedonis, Douglas
dc.contributor.authorAllison, Jeroan J.
dc.date2022-08-11T08:09:48.000
dc.date.accessioned2022-08-23T16:43:56Z
dc.date.available2022-08-23T16:43:56Z
dc.date.issued2017-07-24
dc.date.submitted2017-12-04
dc.identifier.citation<p>Tob Induc Dis. 2017 Jul 24;15:33. doi: 10.1186/s12971-017-0135-x. eCollection 2017. <a href="https://doi.org/10.1186/s12971-017-0135-x">Link to article on publisher's site</a></p>
dc.identifier.issn1617-9625 (Linking)
dc.identifier.doi10.1186/s12971-017-0135-x
dc.identifier.pmid28747857
dc.identifier.urihttp://hdl.handle.net/20.500.14038/40399
dc.description.abstractBACKGROUND: Korean Americans are known for a high smoking prevalence within the Asian American population. This study examined the effects of acculturation and depression on Korean Americans' smoking cessation and abstinence. METHODS: This is a secondary data analysis of a smoking cessation study that implemented eight weekly individualized counseling sessions of a culturally adapted cessation intervention for the treatment arm and a standard cognitive behavioral therapy for the comparison arm. Both arms also received nicotine patches for 8 weeks. A newly developed non-parametric trajectory pattern recognition model (MI-Fuzzy) was used to identify cognitive and behavioral response patterns to a smoking cessation intervention among 97 Korean American smokers (81 men and 16 women). RESULTS: Three distinctive response patterns were revealed: (a) Culturally Adapted (CA), since all identified members received the culturally adapted intervention; (b) More Bicultural (MB), for having higher scores of bicultural acculturation; and (c) Less Bicultural (LB), for having lower scores of bicultural acculturation. The CA smokers were those from the treatment arm, while MB and LB groups were from the comparison arm. The LB group differed in depression from the CA and MB groups and no difference was found between the CA and MB groups. Although depression did not directly affect 12-month prolonged abstinence, the LB group was most depressed and achieved the lowest rate of abstinence (LB: 1.03%; MB: 5.15%; CA: 21.65%). CONCLUSION: A culturally adaptive intervention should target Korean American smokers with a high level of depression and a low level of biculturalism to assist in their smoking cessation. TRIAL REGISTRATION: NCT01091363. Registered 21 March 2010.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=28747857&dopt=Abstract">Link to Article in PubMed</a></p>
dc.rights© The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAcculturation
dc.subjectCulturally adaptive intervention
dc.subjectDepression
dc.subjectFuzzy clustering
dc.subjectLongitudinal
dc.subjectMIFuzzy
dc.subjectMultiple imputation
dc.subjectSmoking cessation
dc.subjectTrajectory pattern recognition
dc.subjectUMCCTS funding
dc.subjectBehavior and Behavior Mechanisms
dc.subjectPsychiatry and Psychology
dc.subjectSubstance Abuse and Addiction
dc.titleAcculturation, Depression, and Smoking Cessation: a trajectory pattern recognition approach
dc.typeJournal Article
dc.source.journaltitleTobacco induced diseases
dc.source.volume15
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=4212&amp;context=oapubs&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/oapubs/3204
dc.identifier.contextkey11190134
refterms.dateFOA2022-08-23T16:43:56Z
html.description.abstract<p>BACKGROUND: Korean Americans are known for a high smoking prevalence within the Asian American population. This study examined the effects of acculturation and depression on Korean Americans' smoking cessation and abstinence.</p> <p>METHODS: This is a secondary data analysis of a smoking cessation study that implemented eight weekly individualized counseling sessions of a culturally adapted cessation intervention for the treatment arm and a standard cognitive behavioral therapy for the comparison arm. Both arms also received nicotine patches for 8 weeks. A newly developed non-parametric trajectory pattern recognition model (MI-Fuzzy) was used to identify cognitive and behavioral response patterns to a smoking cessation intervention among 97 Korean American smokers (81 men and 16 women).</p> <p>RESULTS: Three distinctive response patterns were revealed: (a) Culturally Adapted (CA), since all identified members received the culturally adapted intervention; (b) More Bicultural (MB), for having higher scores of bicultural acculturation; and (c) Less Bicultural (LB), for having lower scores of bicultural acculturation. The CA smokers were those from the treatment arm, while MB and LB groups were from the comparison arm. The LB group differed in depression from the CA and MB groups and no difference was found between the CA and MB groups. Although depression did not directly affect 12-month prolonged abstinence, the LB group was most depressed and achieved the lowest rate of abstinence (LB: 1.03%; MB: 5.15%; CA: 21.65%).</p> <p>CONCLUSION: A culturally adaptive intervention should target Korean American smokers with a high level of depression and a low level of biculturalism to assist in their smoking cessation. TRIAL</p> <p>REGISTRATION: NCT01091363. Registered 21 March 2010.</p>
dc.identifier.submissionpathoapubs/3204
dc.contributor.departmentDepartment of Family Medicine and Community Health
dc.contributor.departmentDepartment of Quantitative Health Sciences
dc.source.pages33


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© The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Except where otherwise noted, this item's license is described as © The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.