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Article: Promoting smoking cessation among the elderly: What are the predictors of intention to quit and successful quitting?

TitlePromoting smoking cessation among the elderly: What are the predictors of intention to quit and successful quitting?
Authors
Issue Date2006
PublisherSage Publications, Inc. The Journal's web site is located at http://www.sagepub.com/journal.aspx?pid=103
Citation
Journal Of Aging And Health, 2006, v. 18 n. 4, p. 552-564 How to Cite?
AbstractPurpose: To assess the predictors of smoking cessation and intention to quit among the Chinese elderly smokers. Design: A cross-sectional survey of elderly smokers. Setting: Shamsuipo district, Hong Kong. Subject: A total of 1,318 elderly were interviewed (response rate = 83%). Measures: A structured questionnaire was used for data collection. The questionnaire sought information on the subject's sociodemographic background and smoking habits. The predictors for successful quitting and intention to quit were assessed by chi-square tests and multiple logistic regression. Results: Of the respondents, 20.2% were current smokers, 25.4% were ex-smokers, and 54.4% were never smokers. Of the smoker (current and ex-smokers) respondents, 55.7% (335/601) had successfully quit at the time of enumeration. The predictors of quitting were living with others, receiving assistance for mobility, being nondrinkers, smoking for shorter duration, and smoking more cigarettes per day. Having health problems in the past, smoking for shorter duration, and smoking fewer cigarettes per day were predictors of intention to quit smoking. Conclusion: The study identified several predictors of successful quitting that could help improve the provision of current smoking cessation services. Population-based smoking cessation programs, especially those targeted to elderly, should take these predictors into consideration in the design of interventions. © 2006 Sage Publications.
Persistent Identifierhttp://hdl.handle.net/10722/86603
ISSN
2015 Impact Factor: 1.66
2015 SCImago Journal Rankings: 1.035
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorAbdullah, ASMen_HK
dc.contributor.authorHo, LMen_HK
dc.contributor.authorKwan, YHen_HK
dc.contributor.authorCheung, WLen_HK
dc.contributor.authorMcGhee, SMen_HK
dc.contributor.authorChan, WHen_HK
dc.date.accessioned2010-09-06T09:19:04Z-
dc.date.available2010-09-06T09:19:04Z-
dc.date.issued2006en_HK
dc.identifier.citationJournal Of Aging And Health, 2006, v. 18 n. 4, p. 552-564en_HK
dc.identifier.issn0898-2643en_HK
dc.identifier.urihttp://hdl.handle.net/10722/86603-
dc.description.abstractPurpose: To assess the predictors of smoking cessation and intention to quit among the Chinese elderly smokers. Design: A cross-sectional survey of elderly smokers. Setting: Shamsuipo district, Hong Kong. Subject: A total of 1,318 elderly were interviewed (response rate = 83%). Measures: A structured questionnaire was used for data collection. The questionnaire sought information on the subject's sociodemographic background and smoking habits. The predictors for successful quitting and intention to quit were assessed by chi-square tests and multiple logistic regression. Results: Of the respondents, 20.2% were current smokers, 25.4% were ex-smokers, and 54.4% were never smokers. Of the smoker (current and ex-smokers) respondents, 55.7% (335/601) had successfully quit at the time of enumeration. The predictors of quitting were living with others, receiving assistance for mobility, being nondrinkers, smoking for shorter duration, and smoking more cigarettes per day. Having health problems in the past, smoking for shorter duration, and smoking fewer cigarettes per day were predictors of intention to quit smoking. Conclusion: The study identified several predictors of successful quitting that could help improve the provision of current smoking cessation services. Population-based smoking cessation programs, especially those targeted to elderly, should take these predictors into consideration in the design of interventions. © 2006 Sage Publications.en_HK
dc.languageengen_HK
dc.publisherSage Publications, Inc. The Journal's web site is located at http://www.sagepub.com/journal.aspx?pid=103en_HK
dc.relation.ispartofJournal of Aging and Healthen_HK
dc.rightsJournal of Aging and Health. Copyright © Sage Publications, Inc.en_HK
dc.subject.meshAgeden_HK
dc.subject.meshDemographyen_HK
dc.subject.meshFemaleen_HK
dc.subject.meshHealth Promotionen_HK
dc.subject.meshHong Kongen_HK
dc.subject.meshHumansen_HK
dc.subject.meshLogistic Modelsen_HK
dc.subject.meshMaleen_HK
dc.subject.meshMiddle Ageden_HK
dc.subject.meshQuestionnairesen_HK
dc.subject.meshSmoking Cessationen_HK
dc.titlePromoting smoking cessation among the elderly: What are the predictors of intention to quit and successful quitting?en_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0898-2643&volume=18&issue=4&spage=552&epage=564&date=2006&atitle=Promoting+smoking+cessation+among+the+elderly:+What+are+the+predictors+of+intention+to+quit+and+successful+quitting?en_HK
dc.identifier.emailHo, LM:lmho@hkucc.hku.hken_HK
dc.identifier.emailMcGhee, SM:smmcghee@hkucc.hku.hken_HK
dc.identifier.authorityHo, LM=rp00360en_HK
dc.identifier.authorityMcGhee, SM=rp00393en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1177/0898264305281104en_HK
dc.identifier.pmid16835389-
dc.identifier.scopuseid_2-s2.0-33745869769en_HK
dc.identifier.hkuros119210en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33745869769&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume18en_HK
dc.identifier.issue4en_HK
dc.identifier.spage552en_HK
dc.identifier.epage564en_HK
dc.identifier.isiWOS:000239280000004-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridAbdullah, ASM=7102085860en_HK
dc.identifier.scopusauthoridHo, LM=7402955625en_HK
dc.identifier.scopusauthoridKwan, YH=14035978500en_HK
dc.identifier.scopusauthoridCheung, WL=7202743060en_HK
dc.identifier.scopusauthoridMcGhee, SM=7003288588en_HK
dc.identifier.scopusauthoridChan, WH=36458285600en_HK

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