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Different Characteristics of Ex-Smokers and Current Smokers with COPD: A Cross-Sectional Study in China

Authors Liu C, Cheng W, Zeng Y, Zhou Z, Zhao Y, Duan J, Wang R, Sun T, Li X, Xiang Z, Chen P, Lei S

Received 25 March 2020

Accepted for publication 12 June 2020

Published 7 July 2020 Volume 2020:15 Pages 1613—1619

DOI https://doi.org/10.2147/COPD.S255028

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Richard Russell

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Cong Liu,1 Wei Cheng,1 Yuqin Zeng,1 Zijing Zhou,1 Yiyang Zhao,1 Jiaxi Duan,1 Ran Wang,1 Tian Sun,1 Xin Li,2 Zhi Xiang,3 Ping Chen,1 Si Lei1

1Department of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University; Research Unit of Respiratory Disease, Central South University; Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha 410011, Hunan, People’s Republic of China; 2Department of Respiratory Diseases, Hunan Prevention and Treatment Institute for Occupational Diseases, Changsha 410007, Hunan, People’s Republic of China; 3Department of Respiratory Diseases, The First People’s Hospital of Huaihua, Affiliated to University of South China, Huaihua 418000, Hunan, People’s Republic of China

Correspondence: Ping Chen; Si Lei Email [email protected]; [email protected]

Purpose: Chronic obstructive pulmonary disease (COPD), usually caused by tobacco smoking, is increased in China. Smoking cessation is the first step in COPD management. Data on predictors of smoking cessation are sparse in COPD patients in China. We aim to find the differences in the clinical characteristics between ex-smokers and current smokers with COPD to determine the factors related to smoking cessation.
Patients and Methods: From outpatient departments of 12 hospitals in Hunan and Guangxi provinces, a total of 4331 patients were included. Information on demographic and sociological data, lung function, and modified Medical Research Council (mMRC) dyspnea scale scores were recorded. Patients were divided into an ex-smokers group and a current smokers group based on whether they gave up smoking. A logistic regression analysis was performed to analyze the factors associated with smoking cessation.
Results: Of the total, the mean age was 62.9± 8.5 years, and 47.3% were ex-smokers. Compared with the current smokers, the ex-smokers were older, and had heavier dyspnea, more severe airflow limitation, fewer pack-years, shorter smoking duration, and a higher proportion of Global Initiative for Chronic Obstructive Lung Disease (GOLD) groups C and D. The logistic regression model showed that smoking cessation was negatively correlated with widowhood, years of smoking, and forced expiratory volume in 1 second (FEV1), but was positively correlated with age, education level, amount smoked, mMRC score, GOLD grades, and GOLD groups.
Conclusion: Among patients with COPD, more than half still smoked. In the group of patients who quit smoking, many of them quit rather late in age after they had significant symptoms. Several predictors of smoking cessation were identified, indicating that ex-smokers differ substantially from continuing smokers. This should be taken into account in smoking-cessation interventions.

Keywords: COPD, cross-sectional study, ex-smokers and current smokers, smoking cessation

Introduction

Chronic obstructive pulmonary disease (COPD) is characterized by persistent respiratory symptoms and airflow limitation that are usually caused by significant exposure to noxious particles or gases.1 The latest prevalence of COPD among Chinese people over the age of 40 is 13.7%,2 a higher rate than before,3 and approximately half of the men with COPD still smoke. Smoking is the leading cause of COPD, and quitting smoking is the first step in managing the disease.1 Smoking cessation improves symptoms,4 slows down the decline in forced expiratory volume in 1 second (FEV1),5 and reduces hospital admissions and the risk of death.68 In western countries, there are data on predictors of successful cessation among patients with COPD. In the US, a cross-sectional study found that ex-smokers were older than current smokers.9 Patients with COPD who were younger, lived alone, had heavier dyspnea, were in a milder COPD group, and had less airway obstruction were less likely to quit.10,11 A Turkish cross-sectional study showed that, among COPD patients, current smokers were younger, had a lower Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage, and had a better 6-minute walking distance than former smokers.12 In China, an ingrained ritual of gifting and sharing cigarettes strongly contributes to smoking initiation as well as failure to quit smoking among Chinese males.13 A small portion of smokers stopped smoking with the diagnosis of a tobacco-related chronic disease.14,15 Chen found that airway obstruction was a predictor associated with smoking cessation in the general population.16 However, data associated with smoking cessation are sparse in COPD patients in China. We aim to understand the characteristics of ex-smokers and current smokers with COPD to identify important factors of smoking cessation.

Patients and Methods

Study Participant

This was a sub-analysis of a multicenter, prospective cohort study, which aimed to understand the characteristics associated with ex-smokers and current smokers with COPD to identify factors of smoking cessation (Registration number: ChiCTR-POC-17,010,431). The study was approved by the institutional review board of the Second Xiangya Hospital of Central South University (Hunan, China) and conducted in accordance with the Declaration of Helsinki. Initially, we included 7310 patients who had been diagnosed with COPD and registered from the outpatient department of 12 hospitals in Hunan and Guangxi provinces in China from December 2016 to October 2019. COPD was defined by spirometry [after post-bronchodilator FEV1/forced vital capacity (FVC) <0.7] based on GOLD 2016. Patients for whom smoking history was not registered, those with fewer than 10 pack-years, and those who never smoked were excluded.

Data Collection and Definitions

All participants in this study provided written informed consent. Information on age, sex, marital status, education level, body mass index (BMI), smoking status, lung function, and modified Medical Research Council (mMRC) dyspnea scale scores were recorded. Smoking information was self-reported by patients. A smoker was defined as continuous smoking exposure of more than 10 pack-years. Patients who had sustained abstinence for more than 6 months were former smokers. Never-smokers who had smoked no more than 100 cigarettes in their lifetime. The mMRC was used to assess the degree of dyspnea. For disease severity, participants were classified into GOLD grades 1–4 and ABCD groups according to GOLD (2016).

Patient Selection

A total of 4331 patients were included in the study (including 2047 ex-smokers and 2284 current smokers), excluding 2979 patients (including 1450 patients without smoking history, 191 patients smoking less than 10 pack-years, 1338 never-smokers).

Statistical Analysis

SPSS 26. 0 (IBM, Armonk, NY, USA) was used for statistical analyses. Data were provided as mean and standard deviation for quantitative variables and as absolute numbers and percentages for qualitative variables. The Kolmogorov–Smirnov test was used to analyze the distribution of variables. In the bivariate analysis, the Student t-test for independent variables was used to analyze normally distributed variables, and the Mann–Whitney U-test was used to analyze variables with non-normal distributions. Qualitative variables were compared using the chi-square test. The associations were considered significant at p<0.05. The variously adjusted odds ratios (ORs) were calculated using multivariate logistic regression.

Results

Of the 4331 patients with COPD included (Figure 1), the mean age was 62.9±8.5 years, and 98.9% were male. Most of the patients had a high school education or below (95%), had an mMRC score of 2 or higher (68.6%), and were in GOLD groups B to D (79.7%). Of the participants, 47.3% were ex-smokers.

Figure 1 Flow chart for patient selection.Abbreviation: COPD, chronic obstructive pulmonary disease.

The different characteristics of the former smokers group and the current smokers group were shown in Table 1. Compared with the current smokers, the ex-smokers were older (64.1±8.5 vs. 61.9±8.4, p<0.01), had higher mMRC scores (2.15±0.9 vs. 1.85±1.0, p<0.01), had more severe airflow limitation (mean FEV1% predicted of 47.5% vs. 52.3%, p<0.01), had fewer pack-years (42.3±26.9 vs. 46.7±25.1, p<0.01), had less smoking duration (30.5±11.3 vs. 36.6±10.5, p<0.01), and had a greater proportion of GOLD groups C and D (59.6% vs. 48.1%, p<0.01).

Table 1 Differences in Clinical Characteristics Between Patients with COPD: of Former Smokers Group and versus Current Smokers

A logistic regression analysis was used to find the significant factors associated with smoking cessation. According to COPD severity, FEV1 was negative with smoking cessation, with an OR of 0.699 (95% CI=0.595–0.822). Patients were more likely to quit if they had worse GOLD groups, with the OR of 1.741 (95% CI=1.353–2.172) for GOLD B, 1.371 (95% CI=1.015–1.852) for GOLD C, and 2.516 (95% CI=2.026–3.124) for GOLD D compared with GOLD A. The likelihood of smoking cessation was higher among patients with severe and very severe COPD (OR 1.235, 95% CI=1.050–1.452) compared mild and moderate COPD, and among patients with mMRC of 2 or greater (OR 3.616, 95% CI=2.892–4.523) compared with an mMRC of less than 2 (Table 2). According to sociodemographic characteristics, patients were less likely to quit who were younger with an OR of 0.348 (95% CI=0.167–0.727) for patients less than 45 years of age and 0.409 (95% CI=0.343–0.489) for patients aged 45 to 64 compared with those aged 65 or above, who had graduated from high school with an OR of 0.695 (95% CI=0.438–0.897) compared with those receiving a college education, or who were widowed (OR 0.484, 95% CI=0.288–0.814). The number of years of smoking (OR 0.930, 95% CI=0.922–0.937) was negatively associated with smoking cessation, but patients who consumed two or more packs per day were more likely to quit (OR 1.488, 95% CI=1.243–1.781) compared with those who consumed less than two packs per day (Table 3).

Table 2 Factors Associated with Smoking Cessation According to COPD Severity in Multivariate Analysis

Table 3 Factors Associated with Smoking Cessation According to Sociodemographic Characteristics in Multivariate Analysis

Discussion

The cross-sectional study including outpatients with COPD compares the characteristics between current smokers and ex-smokers and analyzes the factors associated with smoking cessation. More than half of the participants are still smoking. Compared with the current smoking patients with COPD, ex-smokers with COPD were older, were more dyspneic, and had greater airflow limitation. These findings suggest that many patients continue smoking until they have obvious symptoms. In China, patients with COPD typically do not come to the hospital until they have significant symptoms, resulting in a failure to receive timely diagnosis and treatment.17 In fact, even in patients with severe COPD, smoking cessation slows the acceleration of lung function,18 increases survival,7 and reduces smoking-related complications.19 Therefore, in the management of COPD, we should find smokers with early airway obstruction and provide smoking cessation to slow the natural progression of COPD.20,21

More importantly, the present study found some factors related to smoking cessation. We observed a relationship between the milder COPD group defined by the GOLD A-D groups and the lower likelihood of smoking cessation. A previous study also found the relation between GOLD A-D groups and smoking cessation.10 The present study found a significant negative correlation between FEV1 and smoking cessation. A study of the general population (not COPD patients) found a link between a reduced FEV1 and quitting smoking.22 We observed that patients with a lower degree of dyspnea are less likely to quit, consistent with two previous studies.10,23 One study showed that making smokers aware of the risks of smoking affected decisions about continued smoking and intentions to quit.24 In China, being diagnosed with a disease caused by smoking was the important reason for smokers to quit.14,25 After severe symptoms due to smoking occurred, patients with COPD were more likely to quit. We observed that younger age was associated with lower likelihood of quitting, consistent with previous studies of the general population and patient cohorts.2628 We found that widowed patients were less likely to quit smoking than married patients. Maybe most of the widowed patients lived alone. Tøttenborg SS found that patients with COPD living alone had more difficulty quitting than those living with someone.10 In the general population, smokers who were married or living with partners were more likely to quit smoking.26 However, living with smokers was associated with failure to quit, especially if family members were doctors or nurses who smoke.23 We discovered that lower education level was associated with lower probability of smoking cessation, similar with the study of the general population.26 We discovered that patients consuming more than two packs per day were more likely to quit. Wang found that health shocks decreased the likelihood of heavy smoking (>20 cigarettes per day) by 41.6% versus the combined moderate and light categories, and increased the likelihood of quitting by 85.3% for ever-smokers.29 After serious symptoms occurred, heavy smokers were more likely to quit. We found that there was a negative correlation between smoking cessation and smoking duration. One study of the general population also observed that compared with smoking for more than 10 years, people smoking for less were more likely to quit.30

Our study has limitations. This is a cross-sectional study; therefore, we cannot make conclusions about direction of causality. We also cannot explain the mechanisms of factors associated with smoking cessation, and they need to be further explored. Patients were recruited from the outpatient clinic and, therefore, possibly had more severe clinical symptoms than a patient with COPD in the community. The history of smoking was self-reported by the patients and was not verified by an exhaled carbon monoxide level.

In summary, among smokers with COPD, more than half were still smoking. Even among the small portion of patients who had given up smoking, many of them quit smoking rather late and due to having a significant symptom. Several factors about smoking cessation were identified, indicating that ex-smokers differ substantially from continuing smokers. This should be taken into account in smoking-cessation interventions.

Abbreviations

BMI, body mass index; CI, confidence interval; COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; GOLD, Global Initiative for Chronic Obstructive Lung Disease; mMRC scale, modified Medical Research Council scale; PFT, pulmonary function test.

Data Sharing Statement

All data generated or analysed during this study were included in this published article and no further data will be shared.

Statement of Ethics

The study was approved by the institutional review board of the Second Xiangya Hospital of Central South University (Hunan, China) and conducted in accordance with the Declaration of Helsinki. All participants in the cohorts provided written informed consent.

Acknowledgments

We thank the participants who contributed to this study. For continuous support, assistance, and cooperation, we thank Zhi-wen Wang, Guo-guo Zhong, Min Qian, Tian Sun, Chu-Juan Tang, Qing Song, Ran Wang, Zi-hang Zeng, Qian Li (The Second Xiangya Hospital of Central South University), Ying-qun Zhu, Mi Yang (The Third Hospital of Changsha), Ming Chen (The No.1 Traditional Chinese Medicine Hospital in Changde), Ling-mei Huang (The First People’s Hospital of Yueyang), Yi liu, Rong Yi (The Affiliated Zhuzhou Hospital of Xiangya School of Medicine CSU), Yong-liang Jiang, Mei-ling Zhou (The First People’s Hospital of Huaihua), Ming-yan Jiang, Cheng-feng Song (Central Hospital of Xiangtan), Wei-ming Feng (Central Hospital of Hengyang), Qi-yang Liu, Kai Ye (The Second People’s Hospital of Guilin), Li-bin Ma, Li-li Zhao, Shu-yuan Zhu (Affiliated Hospital of Guilin Medical University), Feng Gao, Ying Xiao (Guilin People’s Hospital).

Author Contributions

All authors made substantial contributions to conception and design, acquisition of data, or analysis and interpretation of data; took part in drafting the article or revising it critically for important intellectual content; gave final approval of the version to be published; and agree to be accountable for all aspects of the work.

Disclosure

None of the authors have a conflict of interest.

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