Predictors of smoking cessation among staff in public universities in Klang Valley, Malaysia

Smoking cessation studies are often performed in clinic based settings. The present example aimed to find predictors of success among staff in worksite smoking cessation programmes in two major public universities in Klang Valley, Malaysia. All staff from both universities received an open invitatio...

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Main Authors: Yasin, S.M., Masilamani, R., Ming, M.F., Koh, D.
Format: Article
Language:English
Published: 2011
Subjects:
Online Access:http://eprints.um.edu.my/3762/1/Predictors_of_Smoking_Cessation_among_Staff_in_Public.pdf
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author Yasin, S.M.
Masilamani, R.
Ming, M.F.
Koh, D.
author_facet Yasin, S.M.
Masilamani, R.
Ming, M.F.
Koh, D.
author_sort Yasin, S.M.
collection UM
description Smoking cessation studies are often performed in clinic based settings. The present example aimed to find predictors of success among staff in worksite smoking cessation programmes in two major public universities in Klang Valley, Malaysia. All staff from both universities received an open invitation via staff e-mail and letters to participate. At the start of treatment, participants were administered the Rhode Island Stress and Coping Questionnaire and Family Support Redding's Questionnaire. Behaviour therapy with free nicotine replacement therapy (NRT) were given as treatment. After two months, they were contacted to determine their smoking status. 185 staff from University A (n=138) and University B (n=47), responded and voluntarily showed interest to quit. There was no significant difference in respondents with respect to socio demographic characteristics and smoking history. After two months of treatment, quit rates were 24 in University A vs. 38 in University B (p>0.05). Univariate predictors of cessation were adherence to NRT (p<0.001), smoking fewer cigarettes per day (p<0.05) and the number of behaviour therapy sessions attended (p<0.001). Logistic regression identified 3 significant predictors of smoking cessation. Participants attending more than one session (OR=27.00; 95 CI : 6.50; 111.6), and having higher pre-treatment general stress (OR=2.15; 95 CI: 1.14; 4.05) were more likely to quit, while a higher number of cigarettes smoked (OR=0.19: 95 CI: 0.06; 0.59) reduced the likelihood of quitting. Increasing age, ability to cope with stress and family support were not significant predictors. We conclude that factors such as the number of counseling sessions, the amount of cigarettes smoked at baseline, adherence to NRT and pretreatment stress are important considerations for success in a worksite smoking cessation programme.
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spelling um.eprints-37622012-10-09T08:36:48Z http://eprints.um.edu.my/3762/ Predictors of smoking cessation among staff in public universities in Klang Valley, Malaysia Yasin, S.M. Masilamani, R. Ming, M.F. Koh, D. R Medicine Smoking cessation studies are often performed in clinic based settings. The present example aimed to find predictors of success among staff in worksite smoking cessation programmes in two major public universities in Klang Valley, Malaysia. All staff from both universities received an open invitation via staff e-mail and letters to participate. At the start of treatment, participants were administered the Rhode Island Stress and Coping Questionnaire and Family Support Redding's Questionnaire. Behaviour therapy with free nicotine replacement therapy (NRT) were given as treatment. After two months, they were contacted to determine their smoking status. 185 staff from University A (n=138) and University B (n=47), responded and voluntarily showed interest to quit. There was no significant difference in respondents with respect to socio demographic characteristics and smoking history. After two months of treatment, quit rates were 24 in University A vs. 38 in University B (p>0.05). Univariate predictors of cessation were adherence to NRT (p<0.001), smoking fewer cigarettes per day (p<0.05) and the number of behaviour therapy sessions attended (p<0.001). Logistic regression identified 3 significant predictors of smoking cessation. Participants attending more than one session (OR=27.00; 95 CI : 6.50; 111.6), and having higher pre-treatment general stress (OR=2.15; 95 CI: 1.14; 4.05) were more likely to quit, while a higher number of cigarettes smoked (OR=0.19: 95 CI: 0.06; 0.59) reduced the likelihood of quitting. Increasing age, ability to cope with stress and family support were not significant predictors. We conclude that factors such as the number of counseling sessions, the amount of cigarettes smoked at baseline, adherence to NRT and pretreatment stress are important considerations for success in a worksite smoking cessation programme. 2011 Article PeerReviewed application/pdf en http://eprints.um.edu.my/3762/1/Predictors_of_Smoking_Cessation_among_Staff_in_Public.pdf Yasin, S.M. and Masilamani, R. and Ming, M.F. and Koh, D. (2011) Predictors of smoking cessation among staff in public universities in Klang Valley, Malaysia. Asian Pacific Journal of Cancer Prevention, 12 (3). pp. 811-816. ISSN 1513-7368,
spellingShingle R Medicine
Yasin, S.M.
Masilamani, R.
Ming, M.F.
Koh, D.
Predictors of smoking cessation among staff in public universities in Klang Valley, Malaysia
title Predictors of smoking cessation among staff in public universities in Klang Valley, Malaysia
title_full Predictors of smoking cessation among staff in public universities in Klang Valley, Malaysia
title_fullStr Predictors of smoking cessation among staff in public universities in Klang Valley, Malaysia
title_full_unstemmed Predictors of smoking cessation among staff in public universities in Klang Valley, Malaysia
title_short Predictors of smoking cessation among staff in public universities in Klang Valley, Malaysia
title_sort predictors of smoking cessation among staff in public universities in klang valley malaysia
topic R Medicine
url http://eprints.um.edu.my/3762/1/Predictors_of_Smoking_Cessation_among_Staff_in_Public.pdf
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