ArticleScientific reports2023
Different clinical characteristics of current smokers and former smokers with asthma: a cross-sectional study of adult asthma patients in China.
Article in Scientific reports, 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.
- Review
- Differences in clinical features between current smokers and former smokers with OSA: a cross-sectional study.Scientific reports · 2025Article
- Causal relationship between physical activity, sleep duration, sedentary behavior, and hypertension: A Mendelian randomisation study.American journal of preventive cardiology · 2025Article
- Clinical characteristics and risk factors in pneumoconiosis patients with asthma.Scientific reports · 2025Article
- Association between heated tobacco product use and worsening asthma symptoms: findings from a nationwide internet survey in Japan, 2023.Environmental health and preventive medicine · 2025Article
- Sociodemographic factors, health behavior, parental or workplace smoking, and adult asthma risk in the United States.Work (Reading, Mass.) · 2024Article
- The clinical characteristics of patients with asthma exposed to different environmental risk factors: A cross-sectional study.Immunity, inflammation and disease · 2023Article
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Authors and funding
20 authors.
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Abstract
Smoking is a trigger for asthma, which has led to an increase in asthma incidence in China. In smokers, asthma management starts with smoking cessation. Data on predictors of smoking cessation in Chinese patients with asthma are scarce. The objective of this study was to find the differences in clinical characteristics between current smokers and former smokers with asthma in order to identify factors associated with smoking cessation. Eligible adults with diagnosed asthma and smoking from the hospital outpatient clinics (n = 2312) were enrolled and underwent a clinical evaluation, asthma control test (ACT), and pulmonary function test. Information on demographic and sociological data, lung function, laboratory tests, ACT and asthma control questionnaire (ACQ) scores was recorded. Patients were divided into a current smokers group and a former smokers group based on whether they had quit smoking. Logistic regression analysis was used to analyze the factors associated with smoking cessation. Of all patients with asthma, 34.6% were smokers and 65.4% were former smokers, and the mean age was 54.5 ± 11.5 years. Compared with current smokers, the former smokers were older, had longer duration of asthma, had higher ICS dose, had more partially controlled and uncontrolled asthma, had more pack-years, had smoked for longer, and had worse asthma control. The logistic regression model showed that smoking cessation was positively correlated with age, female sex, pack-years, years of smoking, partially controlled asthma, uncontrolled asthma, and body mass index (BMI), but was negatively correlated with ACT, FEV
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