Predictors for quitting smoking in smoking cessation clinics among female smokers in China
Introduction The number of cessation clinics in China have been increasing ever since the Chinese government supported the establishment of smoking cessation clinics (SCCs) in each province in 2014. Many studies have examined smoking cessation behaviors among male smokers, but few of female smokers....
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Publishing
2023-02-01
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| Series: | Tobacco Induced Diseases |
| Subjects: | |
| Online Access: | http://www.tobaccoinduceddiseases.org/Predictors-for-quitting-smoking-in-smoking-cessation-clinics-namong-female-smokers,159132,0,2.html |
| _version_ | 1827942405266997248 |
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| author | Bingliang Lin Li Xie Xiaoyun Xie Yongfu Yan Luge Zhang Lin Xiao |
| author_facet | Bingliang Lin Li Xie Xiaoyun Xie Yongfu Yan Luge Zhang Lin Xiao |
| author_sort | Bingliang Lin |
| collection | DOAJ |
| description | Introduction
The number of cessation clinics in China have been increasing ever
since the Chinese government supported the establishment of smoking cessation
clinics (SCCs) in each province in 2014. Many studies have examined smoking
cessation behaviors among male smokers, but few of female smokers. This study
aimed to understand female smokers’ quitting behaviors in SCCs and identify
predictors of successful cessation.
Methods
This study used data of the SCCs Platform in China from 2018 to 2020.
The self-reported 7-day point prevalence of abstinence rate (PPAR) at 1 month
and at 3 months follow-up and the continuous abstinence rate (CAR) at 3 months
follow-up are reported based on smokers’ characteristics and intention to treat
analysis. A multiple logistic regression model was used to identify predictors of
continuous abstinence at 3 months follow-up.
Results
The 7-day PPAR of female outpatients in SCCs was 29.20% at 1 month
follow-up and 28.36% at 3 months follow-up. The CAR at 3 months followup
was 19.88%. Female smokers who were prepared to quit within 7 days
(AOR=2.86; 95% CI: 1.53–5.32), today (AOR=4.01; 95% CI: 2.35–6.85), had
started to quit (AOR=7.11; 95% CI: 4.12–12.27), and used a combination of
counseling and drugs (AOR=2.41; 95% CI: 1.73–3.35) were more likely to quit
smoking. Associated with lower quitting rates were: living in the central region
of China (AOR=0.47; 95% CI: 0.31–0.73) and the west region (AOR=0.48; 95%
CI: 0.31–0.73); being aged 30–39 years (AOR=0.39; 95% CI: 0.23–0.64), and
40–49 years (AOR=0.41; 95% CI:0.24–0.69); being unemployed (AOR=0.64; 95%
CI: 0.45–0.91); having a fair perceived health status at the first visit (AOR=0.65;
95% CI: 0.47–0.91) and a poor one (AOR=0.37; 95% CI: 0.21–0.64); having a
moderate nicotine dependence (AOR=0.64; 95% CI: 0.44–0.92) and a severe one
(AOR=0.50; 95% CI: 0.34–0.72).
Conclusions
In our study, the region of residence, age, employment, perceived
health status, Fagerström test for nicotine dependence (FTND), readiness to
quit, and intervention model were independent predictors of quitting for female
smokers. Improving the motivation to quit, providing intensive psychological
interventions and equipping SCCs with cessation medication would assist female
smokers to quit. |
| first_indexed | 2024-03-13T09:58:57Z |
| format | Article |
| id | doaj.art-ab89490032584545b05f91a480945ccf |
| institution | Directory Open Access Journal |
| issn | 1617-9625 |
| language | English |
| last_indexed | 2024-03-13T09:58:57Z |
| publishDate | 2023-02-01 |
| publisher | European Publishing |
| record_format | Article |
| series | Tobacco Induced Diseases |
| spelling | doaj.art-ab89490032584545b05f91a480945ccf2023-05-23T11:04:11ZengEuropean PublishingTobacco Induced Diseases1617-96252023-02-0121February11310.18332/tid/159132159132Predictors for quitting smoking in smoking cessation clinics among female smokers in ChinaBingliang Lin0https://orcid.org/0000-0002-2257-1598Li Xie1https://orcid.org/0000-0002-3182-4972Xiaoyun Xie2https://orcid.org/0000-0003-3189-5583Yongfu Yan3https://orcid.org/0000-0001-9888-6695Luge Zhang4https://orcid.org/0000-0001-9739-551XLin Xiao5https://orcid.org/0000-0002-5052-6663Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of ChinaTobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of ChinaTobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of ChinaTobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of ChinaTobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of ChinaTobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of ChinaIntroduction The number of cessation clinics in China have been increasing ever since the Chinese government supported the establishment of smoking cessation clinics (SCCs) in each province in 2014. Many studies have examined smoking cessation behaviors among male smokers, but few of female smokers. This study aimed to understand female smokers’ quitting behaviors in SCCs and identify predictors of successful cessation. Methods This study used data of the SCCs Platform in China from 2018 to 2020. The self-reported 7-day point prevalence of abstinence rate (PPAR) at 1 month and at 3 months follow-up and the continuous abstinence rate (CAR) at 3 months follow-up are reported based on smokers’ characteristics and intention to treat analysis. A multiple logistic regression model was used to identify predictors of continuous abstinence at 3 months follow-up. Results The 7-day PPAR of female outpatients in SCCs was 29.20% at 1 month follow-up and 28.36% at 3 months follow-up. The CAR at 3 months followup was 19.88%. Female smokers who were prepared to quit within 7 days (AOR=2.86; 95% CI: 1.53–5.32), today (AOR=4.01; 95% CI: 2.35–6.85), had started to quit (AOR=7.11; 95% CI: 4.12–12.27), and used a combination of counseling and drugs (AOR=2.41; 95% CI: 1.73–3.35) were more likely to quit smoking. Associated with lower quitting rates were: living in the central region of China (AOR=0.47; 95% CI: 0.31–0.73) and the west region (AOR=0.48; 95% CI: 0.31–0.73); being aged 30–39 years (AOR=0.39; 95% CI: 0.23–0.64), and 40–49 years (AOR=0.41; 95% CI:0.24–0.69); being unemployed (AOR=0.64; 95% CI: 0.45–0.91); having a fair perceived health status at the first visit (AOR=0.65; 95% CI: 0.47–0.91) and a poor one (AOR=0.37; 95% CI: 0.21–0.64); having a moderate nicotine dependence (AOR=0.64; 95% CI: 0.44–0.92) and a severe one (AOR=0.50; 95% CI: 0.34–0.72). Conclusions In our study, the region of residence, age, employment, perceived health status, Fagerström test for nicotine dependence (FTND), readiness to quit, and intervention model were independent predictors of quitting for female smokers. Improving the motivation to quit, providing intensive psychological interventions and equipping SCCs with cessation medication would assist female smokers to quit.http://www.tobaccoinduceddiseases.org/Predictors-for-quitting-smoking-in-smoking-cessation-clinics-namong-female-smokers,159132,0,2.htmlfemale smokerssmoking cessation clinicquitting ratepredictors of quitting |
| spellingShingle | Bingliang Lin Li Xie Xiaoyun Xie Yongfu Yan Luge Zhang Lin Xiao Predictors for quitting smoking in smoking cessation clinics among female smokers in China Tobacco Induced Diseases female smokers smoking cessation clinic quitting rate predictors of quitting |
| title | Predictors for quitting smoking in smoking cessation clinics
among female smokers in China |
| title_full | Predictors for quitting smoking in smoking cessation clinics
among female smokers in China |
| title_fullStr | Predictors for quitting smoking in smoking cessation clinics
among female smokers in China |
| title_full_unstemmed | Predictors for quitting smoking in smoking cessation clinics
among female smokers in China |
| title_short | Predictors for quitting smoking in smoking cessation clinics
among female smokers in China |
| title_sort | predictors for quitting smoking in smoking cessation clinics among female smokers in china |
| topic | female smokers smoking cessation clinic quitting rate predictors of quitting |
| url | http://www.tobaccoinduceddiseases.org/Predictors-for-quitting-smoking-in-smoking-cessation-clinics-namong-female-smokers,159132,0,2.html |
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