Predictors of Adherence to Smoking Cessation Medications among Current and Ex-Smokers in Australia: Findings from a National Cross-Sectional Survey
Background: Adherence to smoking cessation medications (SCMs) improve the rate of successful quitting. This study aimed to evaluate the level of adherence to SCMs and associated factors among smokers and ex-smokers in Australia. Method: A cross-sectional study using an online survey was conducted in...
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2021
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oai:doaj.org-article:9c9198ac6e664915b5d55fb87193d9cc2021-11-25T17:52:12ZPredictors of Adherence to Smoking Cessation Medications among Current and Ex-Smokers in Australia: Findings from a National Cross-Sectional Survey10.3390/ijerph1822122251660-46011661-7827https://doaj.org/article/9c9198ac6e664915b5d55fb87193d9cc2021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/22/12225https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Background: Adherence to smoking cessation medications (SCMs) improve the rate of successful quitting. This study aimed to evaluate the level of adherence to SCMs and associated factors among smokers and ex-smokers in Australia. Method: A cross-sectional study using an online survey was conducted in Australia. Descriptive statistics were used to present the overall characteristics of participants. Cross-tabulation with Pearson’s chi-square test was performed to evaluate the possible associations between factors. To explore barriers and facilitators of adherence to SCMs, logistic regressions were conducted. Results: Among 201 participants, 57 (28.4%) were found to be adherent to SCMs. The odds of being adherent were found to be higher among participants with good social support (AOR = 3.28, 95% CI of 2.30–6.27). Participants who did not experience anxiety symptoms had higher odds of being adherent to SCMs as compared to smokers who had anxiety symptoms (AOR = 4.41, 95% CI of 3.64–14.68). Having previous experience of using SCMs improved adherence four-fold (AOR = 3.87, 95% CI of 1.11–13.44). Level of nicotine dependence showed a direct association with adherence (AOR = 3.53, 95% CI of 1.40–8.95). Not relapsing while on the medications improved adherence (AOR = 2.88, 95% CI of 1.21–6.88). Conclusion: In a study of smokers and ex-smokers in Australia, the self-reported level of adherence to SCMs was found to be low. Adherence was associated with social, psychological, and medication-related factors. Smoking cessation interventions are recommended to include strategies that can address medication adherence.Amanual Getnet MershaMichelle KennedyParivash EftekhariGillian Sandra GouldMDPI AGarticleadherencecigarettequittingsmokingsmoking cessation medicationsMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 12225, p 12225 (2021) |
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adherence cigarette quitting smoking smoking cessation medications Medicine R |
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adherence cigarette quitting smoking smoking cessation medications Medicine R Amanual Getnet Mersha Michelle Kennedy Parivash Eftekhari Gillian Sandra Gould Predictors of Adherence to Smoking Cessation Medications among Current and Ex-Smokers in Australia: Findings from a National Cross-Sectional Survey |
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Background: Adherence to smoking cessation medications (SCMs) improve the rate of successful quitting. This study aimed to evaluate the level of adherence to SCMs and associated factors among smokers and ex-smokers in Australia. Method: A cross-sectional study using an online survey was conducted in Australia. Descriptive statistics were used to present the overall characteristics of participants. Cross-tabulation with Pearson’s chi-square test was performed to evaluate the possible associations between factors. To explore barriers and facilitators of adherence to SCMs, logistic regressions were conducted. Results: Among 201 participants, 57 (28.4%) were found to be adherent to SCMs. The odds of being adherent were found to be higher among participants with good social support (AOR = 3.28, 95% CI of 2.30–6.27). Participants who did not experience anxiety symptoms had higher odds of being adherent to SCMs as compared to smokers who had anxiety symptoms (AOR = 4.41, 95% CI of 3.64–14.68). Having previous experience of using SCMs improved adherence four-fold (AOR = 3.87, 95% CI of 1.11–13.44). Level of nicotine dependence showed a direct association with adherence (AOR = 3.53, 95% CI of 1.40–8.95). Not relapsing while on the medications improved adherence (AOR = 2.88, 95% CI of 1.21–6.88). Conclusion: In a study of smokers and ex-smokers in Australia, the self-reported level of adherence to SCMs was found to be low. Adherence was associated with social, psychological, and medication-related factors. Smoking cessation interventions are recommended to include strategies that can address medication adherence. |
format |
article |
author |
Amanual Getnet Mersha Michelle Kennedy Parivash Eftekhari Gillian Sandra Gould |
author_facet |
Amanual Getnet Mersha Michelle Kennedy Parivash Eftekhari Gillian Sandra Gould |
author_sort |
Amanual Getnet Mersha |
title |
Predictors of Adherence to Smoking Cessation Medications among Current and Ex-Smokers in Australia: Findings from a National Cross-Sectional Survey |
title_short |
Predictors of Adherence to Smoking Cessation Medications among Current and Ex-Smokers in Australia: Findings from a National Cross-Sectional Survey |
title_full |
Predictors of Adherence to Smoking Cessation Medications among Current and Ex-Smokers in Australia: Findings from a National Cross-Sectional Survey |
title_fullStr |
Predictors of Adherence to Smoking Cessation Medications among Current and Ex-Smokers in Australia: Findings from a National Cross-Sectional Survey |
title_full_unstemmed |
Predictors of Adherence to Smoking Cessation Medications among Current and Ex-Smokers in Australia: Findings from a National Cross-Sectional Survey |
title_sort |
predictors of adherence to smoking cessation medications among current and ex-smokers in australia: findings from a national cross-sectional survey |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/9c9198ac6e664915b5d55fb87193d9cc |
work_keys_str_mv |
AT amanualgetnetmersha predictorsofadherencetosmokingcessationmedicationsamongcurrentandexsmokersinaustraliafindingsfromanationalcrosssectionalsurvey AT michellekennedy predictorsofadherencetosmokingcessationmedicationsamongcurrentandexsmokersinaustraliafindingsfromanationalcrosssectionalsurvey AT parivasheftekhari predictorsofadherencetosmokingcessationmedicationsamongcurrentandexsmokersinaustraliafindingsfromanationalcrosssectionalsurvey AT gilliansandragould predictorsofadherencetosmokingcessationmedicationsamongcurrentandexsmokersinaustraliafindingsfromanationalcrosssectionalsurvey |
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1718411936882753536 |