Epidemiology of chronic airway disease: results from a cross-sectional survey in Beijing, China
Introduction
With the growth of the aging and smoking populations, there has been a considerable increase in the occurrence of chronic airway disease (CAD), which is associated with a high morbidity and significant burden of disability, resulting in substantial strain on the national health care budget. With the high prevalence of chronic obstructive pulmonary disease (COPD) and asthma, CAD is becoming one of the most important public health concerns (1,2).
Chronic bronchitis (CB) is a common but variable manifestation of COPD that is defined by the presence of chronic productive cough for at least 3 months per year for two consecutive years. It is associated with several clinical sequelae, including an accelerated decline in lung function and a high risk of airflow obstruction (3,4). Emphysema is another form of COPD, which mainly presents with dyspnea (5). Asthma is yet another kind of CAD, which is often regarded as a heterogeneous disease. It affects more than 300 million people worldwide and is predicted to affect an additional 100 million people by the year 2025 (6).
Research has shown that the primary risk factor for CB is smoking, which is evident from the cumulative 30-year incidence of CB, which is 42% in current smokers (7). However, it should be noted that CB also has been described in 22% of those who have never smoked (8), suggesting the existence of other risk factors besides smoking. Many studies have shown that CB affects men more than women. However, according to the 2009 National Center for Health Statistics report, 67.8% of patients with CB were women and women had more frequent episodes of exacerbation as compared to men (9). The factors contributing to the development of emphysema and asthma also remain debatable (10).
To the best of our knowledge, studies on the epidemiology of CAD (including CB, emphysema, and asthma) in the Chinese population are limited. Therefore, we conducted a cross-sectional investigation in northern Chinese urban communities. This study aimed to assess the epidemiological characteristics of CAD, including its prevalence and associations with demographic characteristics and smoking habit. We believe that these data will provide insights into the scientific and theoretical basis of screening strategies for CAD in China.
Methods
Participants
This study was conducted in the administrative area of Beijing, which is the most populous area in the Chaoyang District. Two urban subdistricts, namely Liulitun and Hujialou, were randomly selected from the medical conjoined network system of the Chaoyang Hospital Medical Association. Each of the subdistricts had 10 communities, of which two were randomly selected. Between March 1, 2015, and November 30, 2015, a total of 32,125 questionnaires were distributed among all residents of the selected communities who were above 20 years of age. Responses were collected for 29,359 questionnaires (response rate, 91.4%), with 26,166 (89.1%) being valid. Thus, a total of 26,166 participants were included in this survey.
Based on previous reports, the prevalence rate of asthma in the national community was reported to be about P=2% (with the lowest calculated basis) (11); the allowable error of the survey was set to 0.2%, alpha =0.05, with the formula based on the cross-sectional study being n = (Z1-alpha/2/delta) 2 P (1−p). Thus, the calculated sample volume was 18,824 cases, considering the sampling error of cluster sampling. Furthermore, to expand the sample size by 20%, the total number of samples needed was 18,824×1.2=22,588. The number of samples included in this study was 26,166, indicating that the sample size requirement was successfully met.
The study protocol was approved by the Human Ethics Committee of Beijing Chaoyang Hospital (2013-ke-163), and informed consent was obtained from all participants.
Data collection
All participants were personally interviewed by medical doctors and trained nurses at the Health Service Center and asked to complete a standardized screening questionnaire. The questionnaire covered details regarding the demographic characteristics, diagnosis of CAD, and CAD-related symptoms. In the questionnaire, the CAD-related symptoms were described in a manner similar to that described in the European Community Respiratory Health Survey (ECRHS) (12): (I) wheezing: “Have you had wheezing or whistling in your chest at any time in the last 12 months?” and “Have you been at all breathless when the wheezing noise was present?”; (II) chronic cough: “Do you usually have a cough without a cold?” and “Do you cough like this for as much as 3 months each year?”; (III) chronic phlegm: “Do you usually have phlegm first thing in the morning?” and “Do you usually have phlegm like this for as much as 3 months each year?”; (IV) dyspnea: “Have you been woken by an attack of shortness of breath at any time in the last 12 months?”
The questions pertaining to doctor-diagnosed CAD were as follows: (I) CB: “Have you ever been diagnosed with CB by a doctor?”; (II) emphysema: “Have you ever been diagnosed with emphysema by a doctor?”; (III) asthma: “Have you ever been diagnosed with asthma by a doctor?”
In addition, details regarding gender, age, and smoking habit were also collected in the questionnaire. Current smokers were defined as those who had smoked within the last one month, whereas nonsmokers were those who had never smoked; the remaining persons were classified as ex-smokers.
Statistical analysis
Double data entry and consistency checking were processed using EpiData 3.1. All statistical analyses of data were performed using SPSS 22.0 (IBM Corp., Armonk, NY, USA). Continuous variables such as age were represented as the median (25th percentile value and 75th percentile value). Data regarding gender, smoking habit, CB, emphysema, asthma, wheezing, cough, phlegm, and dyspnea were presented as categorical variables. Significance tests were analyzed by using the chi-squared test and the Wilcoxon rank sum test for binary categorical variables and other continuous variables, respectively. The prevalence of CAD and CAD-related symptoms was calculated with 95% confidence intervals (CIs). Additionally, gender-specific prevalence rates were estimated for all participants and for each 10-year age group. The logistic regression model was employed to assess the effects of age, gender, and smoking habit on CAD-related symptoms. The same regression model was also applied to determine the effects of demographic characteristics and CAD-related symptoms on CAD. Adjusted odds ratios (ORs) for all factors were estimated by the logistic regression model. P<0.05 was considered to be statistically significant.
Results
Demographic characteristics of the participants
The characteristics of the participants classified by age group are shown in Table 1. The numbers of participants in the older age groups were greater than those in the younger age groups. Moreover, 12,711 (48.6%) subjects were men, and 21,174 (80.9%) subjects were nonsmokers. Additionally, 3,011 (11.5%) subjects responded positively to the presence of CAD-related symptoms, and the numbers (prevalence) of participants with the symptoms of wheezing, cough, phlegm, and dyspnea were 1,340 (5.1%), 1,894 (7.2%), 1,570 (6.0%), and 916 (3.5%), respectively. Furthermore, 2,122 (8.1%) subjects had been diagnosed with CAD at some point in their lives, and the numbers of patients with CB, emphysema, and asthma were 1,796 (6.9%), 348 (1.3%), and 643 (2.5%), respectively; 203 (0.8%) subjects were diagnosed with both CB and emphysema, and 423 (1.6%) subjects were diagnosed with both CB and asthma.
Full table
Gender-specific prevalence of CAD and CAD-related symptoms
The prevalence rates of CAD and CAD-related symptoms are shown separately for males and females in Tables 2,3. Approximately 9.0% subjects in men and 7.2% in women had been diagnosed with CAD at some point in their lives. In addition, 13.4% of the men and 9.7% of the women had CAD-related symptoms. The prevalence of wheezing was 1.7% in participants aged 20–29 years and 11.0% among those aged >60 years among men, with the rates increasing from 1.0% to 8.4% among women. The prevalence rates of most symptoms and CAD also increased markedly with age, in both men and women. The prevalence rates of most CAD and CAD-related symptoms were higher among men than among women.
Full table
Full table
Effects of age, gender, and smoking on the CAD and CAD-related symptoms
The effects of age, gender, and smoking on the prevalence of CAD and CAD-related symptoms are elucidated in Table 4. Older people appeared to have a higher prevalence of CAD-related symptoms and CAD (P<0.05, OR>1.00) as compared to those younger. Moreover, participants who were smokers were more likely to develop CAD and CAD-related symptoms, particularly dyspnea (P<0.05, OR>1.00). Gender was yet another significant factor influencing the prevalence of CAD and CAD-related symptoms, with women having a lower possibility of developing wheezing, cough, and dyspnea (P<0.05, OR<1.00). However, no significant differences were noted between the two genders in terms of the prevalence of phlegm (P>0.05). In addition, women had a lower risk of CAD and CAD-related symptoms (P<0.05, OR<1.00).
Full table
Discussion
To date, only a few studies have used a standardized questionnaire to determine the prevalence of doctor-diagnosed CAD and CAD-related symptoms in Chinese adults. The use of a standardized questionnaire allowed for the comparison between the results obtained using the same questionnaire in other countries. The current study is the first large-scale investigation on CAD and related respiratory symptoms performed in Beijing, China. The present study estimated an 8.1% pooled prevalence of CAD among adults aged 20 years and above in Beijing, China. Our study also revealed that more than 11.5% of the population had CAD-related symptoms, with cough being the most common one. The prevalence of CAD and CAD-related symptoms increased with age, which is consistent with the findings of a similar previous study (13). The prevalence of doctor-diagnosed asthma was 2.5%, which is higher than 1.19% reported from Beijing 5 years ago (13). In the present study, a standard questionnaire was used to determine the prevalence of wheezing—the typical symptom of asthma; our results indicated a prevalence of 5.1%, which is more than two times that of doctor-diagnosed asthma. Therefore, it would be reasonable to infer that the actual prevalence of asthma in Beijing may be underestimated. In addition, the prevalence of asthma and asthma-like symptoms in urban communities of Beijing has been reported to be higher than that in rural Beijing (14).
The prevalence of CB in our study was 6.9%, which is higher than that in Canada (2.5%), India (3.5%), Iran (5.6%), Vietnam (5.6%), and Australia (6.1%) (15-19), but lower than that in European countries such as Sweden (7.2%) and Turkey (14.1%) (20,21). Chronic cough and chronic phlegm are symptoms associated with CB. The prevalence of bronchitis-related symptoms in China has been reported to be lower than that in Serbia (22). Furthermore, it increased with age, as was the case with bronchitis, which is consistent with previous reports (13,14). In addition, the prevalence of bronchitis-related symptoms observed in our study was higher than that reported in rural Beijing (14). The reasons for the variability in the prevalence reported in different areas are not entirely clear. Considerable regional differences are noted in the prevalence of some risk factors known to be associated with CAD, such as environmental exposure to pollutants, smoking rate, lag effect of smoking, extent of urbanization, air pollution, health surveys, diagnostic facilities, geographical and seasonal variations, as well as genetic and ethnic factors (23). Their actual roles, however, still remain to be determined. CB is often regarded as the early stage of COPD and has attracted considerable research interest. Some epidemiological characteristics of CB have been reported from different regions of the world. Pelkonen et al. (24) have examined the trends in the prevalence of CB during the last three decades and have reported a decrease in the prevalence from 19% and 13% to 13% and 11% in men and women, respectively, between the ages of 25 and 64 years. This decrease may be attributed to advances in medicine and timely treatment. However, Accordini et al. (25) have found that despite the significant reduction in the percentage of persons currently smoking, the prevalence of CB did not vary among young Italian adults, indicating the role of other influencing factors. Since the proportion of CB patients continues to remain high, the condition is still a cause for concern.
Studies investigating the epidemiology of emphysema are limited. The current study showed that the prevalence of emphysema in a Chinese population was 1.3%, which is lower than that reported in the US (3.0%) (26). In addition, about 3.5% of subjects in our study population had emphysema-related symptoms. Emphysema is a type of dormant disease that can occur as the consequence of severe CB, COPD, and pulmonary fibrosis, especially in smokers (27,28). Although some studies have shown a decrease in the prevalence of emphysema among men due to the significant reduction of smoking rates (29), it still remains a topic of concern.
Another interesting finding of our study was that the number of people with a doctor-diagnosis of CAD (including CB, asthma and emphysema) is higher than the total participant number. Further analysis also confirmed there were several overlaps in the patients with different kinds of CAD, which is similar to some former research (30).
In the present study, age, male gender, and smoking were determined to be risk factors of CAD and CAD-related symptoms, which is consistent with the findings of some previous studies (31). Smoking is a widely accepted risk factor of CAD in many other studies (32). For example, research carried out by Forey et al. (33) has demonstrated a clear relationship between smoking and the outcomes of COPD, CB, and emphysema. An important finding in our study is that smoking may also serve as a risk factor for asthma and not only for the exacerbation of asthma as is currently believed. In addition, our results also show the female gender is a protective factor for CAD and CAD-related symptoms, which does not agree with the findings of some previous studies (34). On the contrary, some other studies have reported that women were more susceptible to some chronic respiratory diseases due to physiological structural characteristics, exposure to second-hand smoke, and higher sensitivity to symptoms (35,36). These contradictory opinions might be attributed to differences in the selected population samples. With the increase in efforts to discourage smoking worldwide, air pollution might become the new global challenge and could greatly affect the epidemiological characteristics of CAD (37,38). Therefore, further investigations in this line of research are imperative.
This study does have some limitations that need to be acknowledged. First, the possibility of inaccurate answers in self-reported questions must be taken into consideration, particularly in the case of participants with a low education level. Second, no associated factors were included in the questionnaire employed in this study. Third, the proportion of older participants in this study population was high, which could lead to some degree of bias. Moreover, the low prevalence of wheezing and dyspnea could be partly attributed to the improper understanding of the terms by the participants.
Conclusions
CAD is a common respiratory disease in Beijing, China, with an estimated prevalence of 8.1%. The prevalence rates of CB, emphysema and asthma diagnosed by doctor in the Chinese population were 6.9%, 1.3%, and 2.5%, respectively. It appears that the actual prevalence of asthma might be underestimated. The female gender appeared to be a protective factor for CAD and CAD-related symptoms, while old age and smoking habit were found to be risk factors.
Acknowledgements
Funding: This study was supported by grants from the National Natural Science Foundation of China (81470238, 81670032) and the National Key Research and Development Program of China (2016YFC0901102).
Footnote
Conflicts of Interest: The authors have no conflicts of interest to declare.
Ethical Statement: The study protocol was approved by the Human Ethics Committee of Beijing Chaoyang Hospital (2013-ke-163), and informed consent was obtained from all participants.
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