ArticlePreventive medicine reports2023
Probability and predictors of long-term smoking relapse among Chinese adult smokers: A longitudinal study.
Article in Preventive medicine reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Transcranial direct current stimulation associated with physical exercise can help smokers to quit smoking: a randomized controlled trial.Scientific reports · 2025Trial
- Convergence of TMS Sites and Lesion Locations Associated With Nicotine Addiction Improvement on a Common Brain Circuit.The American journal of psychiatry · 2026Article
- Postpartum smoking relapse experiences of women who quit during pregnancy: a qualitative descriptive study.BMC pregnancy and childbirth · 2026Article
- Smoking relapse and withdrawal symptoms among smokers accessing smoking cessation services provided by the primary care settings of Qatar.Journal of public health research · 2025Article
- Prevalence and Influencing Factors of Tobacco Use Among Physicians in Madinah City, Saudi Arabia, in 2024.Cureus · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Numerous smokers attempt to quit smoking, but most cessation efforts prove unsuccessful. Scarce evidence exists regarding predictors of long-term relapse in China. This study aims to evaluate the probability of relapse and examine factors may contribute to relapse among Chinese adults. A dynamic cohort of 6,036 observations on 2,378 adult quitters was constructed from the China Family Panel Studies in 2010, 2012, 2014, 2016 and 2018. The life table method was employed to calculate the probability of relapse for long-term smoking abstinence. Multivariate complementary log-log survival models were developed to examine the predictors of smoking relapse. We found that the probability of relapse decreased as the duration of abstinence increased, with rates of 49.07 %, 20.05 %, 10.29 %, and 6.63 % at 2, 4, 6, and 8 years of abstinence, respectively. The cumulative probability of relapse within 8 years was 65.89 %. Age ≥65 years, higher educational attainment, respiratory disease, and a satisfying lifestyle were associated with a reduced likelihood of relapse. Conversely, higher occupational prestige, alcohol drinking, cohabitant smoking, and greater future confidence were associated with an increased risk of relapse. These findings demonstrated that the probability of relapse decreased progressively over time, with most relapses occurring in the initial two years following quit attempts. Predictors of Chinese quitters' relapse behavior in our study were similar to those in previous studies. Drinking and cohabitant smoking were identified as strong predictors of relapse in this population.
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