Different clinical characteristics of current smokers and former smokers with asthma: a cross-sectional study of adult asthma patients in China

• Published in: Scientific reports Vol. 13; no. 1; pp. 1035 - 8
• Main Authors: Chen, Zhifeng, Wasti, Binaya, Shang, Yulin, Ouyang, Ruoyun, Yuan, Yu, He, Yi, Duan, Wentao, Jia, Jingsi, Xiao, Bing, Zhang, Dongshan, Liu, Shaokun, Song, Qing, Zeng, Yuqin, Zeng, Qingping, Zhang, Xiufeng, Li, Jianmin, Ji, Xiaoying, Chen, Ping, Ma, Libing, Xiang, Xudong
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 19.01.2023; Nature Publishing Group; Nature Portfolio
• Subjects: 692/499; 692/700; Adult; Aged; Asthma; Asthma - epidemiology; Body mass index; Cigarette smoking; Cross-Sectional Studies; Drug addiction; Female; Humanities and Social Sciences; Humans; Laboratory tests; Male; Middle Aged; multidisciplinary; Patients; Regression analysis; Respiratory function; Science; Science (multidisciplinary); Smokers; Smoking; Smoking - adverse effects; Smoking - epidemiology; Smoking Cessation; China
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-022-22953-z

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 1 , FEV 1 %predicted, and widowed status. More than 30% of asthma patients in the study were still smoking. Among those who quit smoking, many quit late, often not realizing they need to quit until they have significant breathing difficulties. The related factors of smoking cessation identified in this study indicate that there are still differences between continuing smokers and former smokers, and these factors should be focused on in asthma smoking cessation interventions to improve the prognosis of patients with asthma.