ArticleTobacco induced diseases2023
Predictors for quitting smoking in smoking cessation clinics among female smokers in China.
Article in Tobacco induced diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Determinants of smoking-cessation intentions among female university students in Thailand.BMC public health · 2026Article
- Understanding female smoking in urban China: motivations, stigma and shifting social norms-a qualitative focus group study.BMJ open · 2026Article
- Impact of Tobacco Exposure on Low Back Pain-Related Disability-Adjusted Life Years in China: Trends From 1990-2021 and Projections for the Next 15 years Using ARIMA Modeling.Journal of pain research · 2025Article
- Efficacy of an individual-tailored smoking cessation intervention APP among Chinese smokers: study protocol for a randomized controlled trial.BMC public health · 2024Article
- Factors influencing tobacco quitting: findings from National Tobacco-Quitline Services, Mumbai, India.Ecancermedicalscience · 2024Article
- Evaluation of Smoking Cessation Intervention Effectiveness in Smoking Cessation Clinics - China, 2019-2021.China CDC weekly · 2023Article
- Baseline characteristics and the factors influencing successful smoking cessation: A comparison between a WeChat smoking cessation mini-program and an offline smoking cessation clinic.Tobacco induced diseases · 2023Article
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6 authors.
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Abstract
introductionThe 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.
methodsThis 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.
resultsThe 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 follow-up 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).
conclusionsIn 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.
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