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      Predictors of long-term smoking cessation among smokers enrolled in a university smoking cessation program : A longitudinal study

      research-article
      , BA a , , PhD b , , BS, BBA a , , PhD c , d , e , , , PhD a , f ,
      Medicine
      Wolters Kluwer Health
      peer smoking, smoking cessation, university setting, young adult

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          Abstract

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          Abstract

          Many lifelong smokers establish smoking habits during young adulthood. A university can be an effective setting for early smoking cessation. We evaluated long-term predictors of smoking cessation among smokers in a university setting.

          We longitudinally followed a cohort of smokers enrolled in a university smoking cessation program in Seoul, South Korea. Sociodemographic factors, smoking-related variables, and changes in smoking habits were assessed during 6-week visit sessions and follow-up telephone interviews conducted 1 year or more later.

          A total of 205 participants were followed up (mean follow-up duration: 27.1 months). Cessation rates were 47.3% at the end of the visit sessions and 28.8% at follow-up. The long-term persistent smoking rate was significantly higher among individuals with peers who smoked (odds ratio [OR] = 8.64; 95% confidence interval [CI] = 1.75, 42.80), with family members who smoked (OR = 3.28; 95% CI = 1.20, 9.00), and who smoked 10 to 19 cigarettes/day (OR = 4.83; 95% CI = 1.49, 15.69). Conversely, persistent smoking was less likely among those who attended the program regularly (OR = 0.84 per visit; 95% CI = 0.72, 0.99) and attempted quitting more frequently (OR = 0.93 per attempt; 95% CI = 0.87, 0.99). Use of smoking cessation medications (varenicline or bupropion) was not significantly associated with long-term quitting (OR = 0.71; 95% CI = 0.26, 1.93).

          Peer influences were the strongest predictors of failure in long-term cessation among smokers who attempted to quit. Similarly, the existence of smokers in the family was negatively associated with successful quitting. Regular attendance at a smoking cessation program and a high number of attempts to quit were positively associated with successful quitting. Targeting peer and family smoking groups together rather than targeting individual smokers alone, implementing active cessation programs encouraging regular attendance, and providing comprehensive antismoking environments might be effective strategies in a university setting.

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          Most cited references26

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          Behavioral Counseling and Pharmacotherapy Interventions for Tobacco Cessation in Adults, Including Pregnant Women: A Review of Reviews for the U.S. Preventive Services Task Force.

          Tobacco use is the leading cause of preventable death in the United States.
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            The problem of tobacco smoking.

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              Socio-demographic predictors of quitting smoking: how important are household factors?

              To compare different socio-demographic predictors of quitting smoking in a cohort representative of adult smokers in the British population using appropriate models that take into account the clustering of smoking behaviours at the household and area levels. A longitudinal, population representative survey of British adults (the British Household Panel Survey, BHPS) from 1991 to 2000. At wave 1 of the BHPS, 10264 adults living in 5511 households were interviewed. Around 30% of the wave 1 respondents reported smoking cigarettes. Of these, 21% had quit smoking over a 10-year period. 'Quitters' (quitting smoking) were defined as smokers who had subsequently described themselves as non-smokers for at least 2 consecutive waves (years) of the BHPS. Degree of dependence was indexed using the number of cigarettes currently smoked per day. Degree of dependence was the strongest predictor of quitting smoking, followed by occupational social class, social support, marital status and the proportion of smokers in the household. There was some evidence of clustering of quitting smoking behaviour within households-members of the same household had similar quitting smoking behaviours. This clustering at the household level appeared to be explained by mechanisms related to the household level. However, there was little evidence for clustering of smoking behaviour within areas. In addition to reducing addiction to cigarettes, policies designed to encourage smokers to quit may need to take into account factors related to household support and employment relations, in order to encourage smokers from all socio-demographic groups to quit
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                Author and article information

                Journal
                Medicine (Baltimore)
                Medicine (Baltimore)
                MEDI
                Medicine
                Wolters Kluwer Health
                0025-7974
                1536-5964
                January 2020
                31 January 2020
                : 99
                : 5
                : e18994
                Affiliations
                [a ]Seoul National University College of Medicine
                [b ]Samsung C&T Medical Clinic, Kangbuk Samsung Hospital
                [c ]Department of Medicine, Seoul National University College of Medicine
                [d ]Department of Family Medicine, Seoul National University Hospital
                [e ]Department of Family Medicine, Seoul National University Health Service Center
                [f ]Department of Internal Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.
                Author notes
                []Correspondence: Hee-Kyung Joh, Seoul National University Health Service Center, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea (e-mail: hkjoh@ 123456snu.ac.kr ), Ji Won Kim, Department of Internal Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea (e-mail: kjwjor@ 123456snu.ac.kr ).
                Article
                MD-D-19-04779 18994
                10.1097/MD.0000000000018994
                7004718
                32000438
                21965069-9ded-40d2-9018-85fc6854d76b
                Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc.

                This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0

                History
                : 3 July 2019
                : 15 December 2019
                : 30 December 2019
                Categories
                6600
                Research Article
                Observational Study
                Custom metadata
                TRUE

                peer smoking,smoking cessation,university setting,young adult

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