Outcome and predictors for smoking cessation in a quit smoking clinic

Introduction: Smoking is one of the addiction problems that needs an effective intervention. Smoking cessation studies have shown the promising result, but the central issue was to prevent relapse. A retrospective cohort study was conducted at Quit Smoking Clinic in Klinik Kesihatan Tanglin, Kuala L...

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Main Authors: Zainal Abidin, Muhammad Adil, Kadi @ Shahar, Hayati, Abdul Manaf, Rosliza
Format: Article
Language:English
Published: Department of Community Health, Universiti Kebangsaan Malaysia Medical Centre 2017
Online Access:http://psasir.upm.edu.my/id/eprint/56948/1/Outcome%20and%20predictors%20for%20smoking%20cessation%20in%20a%20quit%20smoking%20clinic.pdf
http://psasir.upm.edu.my/id/eprint/56948/
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spelling my.upm.eprints.569482017-09-06T09:18:25Z http://psasir.upm.edu.my/id/eprint/56948/ Outcome and predictors for smoking cessation in a quit smoking clinic Zainal Abidin, Muhammad Adil Kadi @ Shahar, Hayati Abdul Manaf, Rosliza Introduction: Smoking is one of the addiction problems that needs an effective intervention. Smoking cessation studies have shown the promising result, but the central issue was to prevent relapse. A retrospective cohort study was conducted at Quit Smoking Clinic in Klinik Kesihatan Tanglin, Kuala Lumpur to determine the outcome and predictors of smoking cessation. Methods: A cohort of 770 smokers attended the clinic between the year 2008 and 2015 was selected through simple random sampling. Smokers were defined as current smokers while smoking abstinence is defined as cessation for more than 6 months and relapse as any smoking episode even a puff since the quit date. Results: The majority were Malays, Muslims and had at least secondary education. The mean age of smoking initiation was 17.6 years old. The majority of the respondent smokes between 11 to 20 sticks per day and had a higher nicotine dependence score (43.0%). The smoking cessation outcome was good with 52.5% of the respondent abstained from smoking at 6 months. The predictors for smoking cessation were numbered of the quit attempt (1 to 10 times) (AOR = 1.582, 95% CI = 1.012-2.472) and pharmacotherapy (aOR = 0.711, 95% CI=0.511-0.989). Conclusions: More frequent follow-up was essential during the first 6 month period to enhance not only medication compliance but also a motivational aspect to smokers to maintain cessation. Emphasis should also be made for smokers who make first quit attempt. Department of Community Health, Universiti Kebangsaan Malaysia Medical Centre 2017 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/56948/1/Outcome%20and%20predictors%20for%20smoking%20cessation%20in%20a%20quit%20smoking%20clinic.pdf Zainal Abidin, Muhammad Adil and Kadi @ Shahar, Hayati and Abdul Manaf, Rosliza (2017) Outcome and predictors for smoking cessation in a quit smoking clinic. International Journal of Public Health Research, 7 (1). pp. 774-782. ISSN 2232-0253; ESSN: 2232-0245 http://www.ijphr.ukm.my/Lists/Vol%207%20No%201%202017/DispForm.aspx?ID=3&ContentTypeId=0x0100D30DFC33FC64F2478D7CE5B7EC9C7259
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Introduction: Smoking is one of the addiction problems that needs an effective intervention. Smoking cessation studies have shown the promising result, but the central issue was to prevent relapse. A retrospective cohort study was conducted at Quit Smoking Clinic in Klinik Kesihatan Tanglin, Kuala Lumpur to determine the outcome and predictors of smoking cessation. Methods: A cohort of 770 smokers attended the clinic between the year 2008 and 2015 was selected through simple random sampling. Smokers were defined as current smokers while smoking abstinence is defined as cessation for more than 6 months and relapse as any smoking episode even a puff since the quit date. Results: The majority were Malays, Muslims and had at least secondary education. The mean age of smoking initiation was 17.6 years old. The majority of the respondent smokes between 11 to 20 sticks per day and had a higher nicotine dependence score (43.0%). The smoking cessation outcome was good with 52.5% of the respondent abstained from smoking at 6 months. The predictors for smoking cessation were numbered of the quit attempt (1 to 10 times) (AOR = 1.582, 95% CI = 1.012-2.472) and pharmacotherapy (aOR = 0.711, 95% CI=0.511-0.989). Conclusions: More frequent follow-up was essential during the first 6 month period to enhance not only medication compliance but also a motivational aspect to smokers to maintain cessation. Emphasis should also be made for smokers who make first quit attempt.
format Article
author Zainal Abidin, Muhammad Adil
Kadi @ Shahar, Hayati
Abdul Manaf, Rosliza
spellingShingle Zainal Abidin, Muhammad Adil
Kadi @ Shahar, Hayati
Abdul Manaf, Rosliza
Outcome and predictors for smoking cessation in a quit smoking clinic
author_facet Zainal Abidin, Muhammad Adil
Kadi @ Shahar, Hayati
Abdul Manaf, Rosliza
author_sort Zainal Abidin, Muhammad Adil
title Outcome and predictors for smoking cessation in a quit smoking clinic
title_short Outcome and predictors for smoking cessation in a quit smoking clinic
title_full Outcome and predictors for smoking cessation in a quit smoking clinic
title_fullStr Outcome and predictors for smoking cessation in a quit smoking clinic
title_full_unstemmed Outcome and predictors for smoking cessation in a quit smoking clinic
title_sort outcome and predictors for smoking cessation in a quit smoking clinic
publisher Department of Community Health, Universiti Kebangsaan Malaysia Medical Centre
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/56948/1/Outcome%20and%20predictors%20for%20smoking%20cessation%20in%20a%20quit%20smoking%20clinic.pdf
http://psasir.upm.edu.my/id/eprint/56948/
http://www.ijphr.ukm.my/Lists/Vol%207%20No%201%202017/DispForm.aspx?ID=3&ContentTypeId=0x0100D30DFC33FC64F2478D7CE5B7EC9C7259
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