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The prevalence of asthma is on the rise worldwide, with large variations in prevalence existing between and within countries. Little is known regarding the variation in asthma prevalence in adults living in rural and urban settings.
Using questionnaire data from the Canadian National Population Health Survey, the prevalence of asthma at four time periods (1994/1995 [cycle 1], 1996/1997 [cycle 2], 1998/1999 [cycle 3] and 2000/2001 [cycle 4]) was compared between rural and urban populations stratified by sex, smoking status and age group. Asthma was defined as a positive response to the question: “Do you have asthma diagnosed by a health professional?”
To account for the complexity of the survey design, the bootstrap method was used to calculate prevalences and 95% CIs.
Overall, the prevalence of asthma increased from 7.3% (cycle 1) to 7.5% (cycle 4). After stratifying by sex, the asthma prevalence decreased among men, but in women, there was a steady increase. Asthma prevalence increased for both the rural population and the urban population. After stratifying each cycle by sex and location (rural or urban), both rural and urban men showed a decrease in asthma prevalence. On dividing according to age groups (0 to 14 years, 15 to 34 years, 35 to 64 years, and 65 years and older), the prevalence of asthma was greatest in the 15- to 34-year age group of urban and rural women.
Asthma prevalence increased among rural and urban women. The prevalence of asthma was highest among female smokers and male nonsmokers when stratified by smoking status. Based on these findings, the rate of increase in asthma prevalence is different for men and women.
La prévalence de l’asthme est en hausse à l’échelle mondiale, mais il existe d’importantes variations quant à sa prévalence à l’intérieur de chaque pays et entre eux. On dispose de peu de données au sujet des variations de la prévalence de l’asthme chez les adultes vivant en milieu rural et urbain.
À l’aide de données provenant des questionnaires de l’Enquête nationale sur la santé de la population du Canada, la prévalence de l’asthme a été comparée entre les populations rurales et urbaines stratifiées selon le sexe, le statut à l’égard du tabagisme et l’âge, pour quatre périodes (1994–1995 [cycle 1], 1995–1997 [cycle 2], 1998–1999 [cycle 3] et 2000–2001 [cycle 4]). L’asthme se définissait par une réponse affirmative à la question : « Souffrez-vous d’un asthme qui a été diagnostiqué par un professionnel de la santé ?».
Pour tenir compte de la complexité du modèle de l’enquête, la méthode d’auto-amorçage a été utilisée pour calculer les prévalences et les IC à 95 %.
Dans l’ensemble, la prévalence de l’asthme est passée de 7,3 % (cycle 1) à 7,5 % (cycle 4). Après stratification selon le sexe, la prévalence de l’asthme a diminué chez les hommes, mais a régulièrement augmenté chez les femmes. La prévalence de l’asthme a augmenté dans les populations rurales et urbaines. Après stratification de chaque cycle selon le sexe et le milieu rural ou urbain, on a observé une baisse de la prévalence de l’asthme chez les hommes des régions rurales et urbaines. Lors de la répartition selon les groupes d’âge (0 à 14 ans, 15 à 34 ans, 35 à 64 ans et 65 et plus), la prévalence de l’asthme a été la plus forte chez les femmes de 15 à 34 ans des milieux ruraux et urbains.
La prévalence de l’asthme a augmenté chez les femmes des milieux ruraux et urbains. La prévalence de l’asthme a été la plus forte chez les femmes fumeuses et les hommes non fumeurs lors de la stratification selon le statut à l’égard du tabagisme. À partir de ces résultats, on conclut que les hommes et les femmes présentent un taux différent d’augmentation de la prévalence de l’asthme.
The prevalence of asthma in both adults and children is on the rise worldwide. Approximately 10% of adults and 35% of children have asthma. There is an abundance of literature on the increase in asthma rates among children in many western countries. However, research is somewhat limited in adults. One of the reasons may be that adult asthma is often confused with other smoking-related diseases (1), such as chronic obstructive pulmonary disease. Studies conducted around the globe have examined the asthma prevalence among adults in North American (2–4), Oceanic (5) and European (6–8) countries. The European Community Respiratory Health Survey (ECRHS), an international comparative study in adults, found that asthma prevalence was most common in western countries, and was higher in developed countries due to increasing urbanization (9). However, little is known about the factors associated with increasing asthma rates in adults.
Noncancerous respiratory diseases are common and costly diseases, and asthma plays a major role in them. Respiratory disease, which can cause hospitalization and death, is the third most serious health problem in Canada (10). In Canada, the direct and indirect health care cost of respiratory diseases, excluding lung cancer, for the year 1993 was approximately 9.4% of total cost (10). Such diseases are a burden to any country, and steps need to be taken as a precautionary measure. More studies in adults are needed to determine the factors that result in higher prevalences of asthma. Longitudinal studies are an option, because in these studies, an individual can be followed over time to determine the risk factors resulting in asthma.
A few cross-sectional studies (4,11) have been conducted to compare the health of rural populations with urban populations. Boulet et al (11) reported a rise in mortality (by approximately 28.6%) due to increasing asthma in Quebec adults during the period 1975 to 1985. They also concluded that asthma mortality increased in women in both rural and urban areas, more than among men. Senthilselvan (12) studied rural-urban differences in asthma hospitalizations during the period from 1970 to 1989, and the prevalence of physician-diagnosed asthma during the period from 1991 to 1998 (4). Both studies concluded that the prevalence of asthma was higher among urban populations than among rural populations.
The relationship between cigarette smoking and asthma has also been investigated in many Canadian studies (13–17). To our knowledge, no research on asthma prevalence or smoking status, or comparisons of the health of rural-urban populations, has been conducted in Canada. Using the National Population Health Survey (NPHS) data set, the variation of asthma prevalence between rural and urban populations was assessed in four different time periods.
The objective of the present study was to estimate the prevalences of self-reported health professional-diagnosed asthma in Canada across four cycles of the NPHS data stratified by sex, age group and location (rural or urban). Asthma prevalences among smokers, ex-smokers and nonsmokers were also compared.
The present study was based on longitudinal data from four cycles of the NPHS questionnaire data. The prevalence of asthma was determined separately for each of the four cycles. The target population included household residents in all 10 provinces. Individuals living on Indian reserves or Crown land, residents of health care institutions, full-time members of the Canadian Armed Forces, and residents in remote areas of Ontario and Quebec were not included.
The sample design was a stratified, multistage design (18) for all provinces except Quebec, which was based on a two-stage sample design. At each stage in the sampling designs, units were subsampled from the higher hierarchical level of procedure. For the NPHS, at the first stage, the province of Canada was subdivided into three major areas (major urban centres, urban towns and rural areas). From these, homogeneous strata were formed, based on socioeconomic status and geographic location. In the second stage, clusters were formed from the strata. In the third stage, households were selected at random from the clusters, and one individual was chosen from each household to form the longitudinal panel.
The NPHS redesigned the sampling methodology developed for the Labour Force Survey (LFS) (19). The NPHS initially had a target sample size of approximately 19,600 households. However, a total of 20,095 participants were selected in 1994/1995 (cycle 1) to form the panel. These participants completed at least the general component of the questionnaire in cycle 1. A total of 17,276 participants responded; henceforth, for cycle 2 onwards, the longitudinal panel members consisted of these participants. The longitudinal sample was not renewed over time, and it remained the same for all cycles. This same group of individuals was surveyed in 1996/1997 (cycle 2), 1998/1999 (cycle 3) and 2000/2001 (cycle 4), and will be studied every two years in the future as well.
Asthma was self-reported based on any long-term conditions that had lasted or were expected to last six months or longer, and that had been diagnosed by a health professional (19). The question asked was “Do you have asthma diagnosed by a health professional?” (19). Rural areas included the populations living outside places of 1000 people or more (20–22). “An area that has a minimum population concentration of 1000 or more, and a population density of at least 400 per square kilometer, based on previous census counts” (22) was defined as an urban area.
The total number of respondents who answered in affirmation to the asthma question formed the numerator, and the total population at the time of study formed the denominator. All of the respondents who chose not to answer this question were excluded from the analysis. The prevalence of asthma was estimated separately for each cycle using the same prevalence formula. Age-specific, sex-specific and location-specific prevalence values were computed for each cycle.
Current smokers were defined as those respondents who answered yes to daily and occasional smoking to the question: “At the present time do you smoke cigarettes daily, occasionally or not at all?” Ex-smokers were those respondents who answered no to the above question and yes to the question: “Have you ever smoked cigarettes at all?” Nonsmokers were those respondents who answered no to both questions stated above. Responses were coded as missing if the respondents chose not to answer or not applicable to the smoking questionnaire. The smoking questionnaire excluded respondents younger than 15 years of age.
The sampling design of the NPHS data is based on a complex survey design. The statistical methods used should account for the survey design. Failure to account for all of the three features of survey design can result in biased estimates (23). The bootstrap method was used, which is an approximation method for variance estimation, because it was able to account for the sample design information. For the present analysis, 500 bootstrap weights were produced to calculate the point estimate, as well as to calculate the SE and 95% CI (18). The Bootvar program, developed by Statistics Canada, uses the bootstrap method to compute the variances (19). SAS version 8.2 (SAS Institute, USA) was used to carry out the statistical analysis. Means ± SEs were computed for the continuous variable age, and proportions were computed for the categorical variable smoking status stratified by sex and location for each cycle. The distribution of the population for each province and cycle was calculated for each sex and location (rural or urban). The prevalence of asthma was calculated for rural and urban men and women, for each cycle separately, and for each age group (0 to 14 years, 15 to 34 years, 35 to 64 years, and 65 years and older). Asthma prevalence was also calculated for smokers, ex-smokers and nonsmokers in each cycle.
The response rates were 86% for cycle 1, 93.6% for cycle 2, 88.9% for cycle 3 and 84.8% for cycle 4. The response rate for cycle 1 was based on 20,095 participants selected to form the panel. For the other cycles, the response rates were based on 17,276 panel members. The attrition rates were 9.3% at the end of cycle 2, 6.7% in cycle 3 and 7.1% at the end of cycle 4. Complete response included participants who provided a complete response to the interview in each of the four cycles, or were deceased or institutionalized. A total of 13,582 participants (78.6%) had complete responses in all four cycles. The participants with partial or no responses were regarded as missing or incomplete. The present analysis included all of the 17,276 participants, regardless of the response pattern.
The mean age of 17,276 participants, stratified by sex and location for each cycle, is provided in Table 1. In general, female participants were significantly older than their male counterparts. Rural participants were older than urban participants. Stratification by sex and location showed that urban men were younger than rural and urban women, as well as rural men, in all four cycles. Rural men were older than urban men, and the opposite was observed in women (Table 1).
Weighted percentages of smoking status for each cycle were studied separately by location and sex (Table 2). The denominator of the percentage was the 1994/1995 target Canadian population of 28,318,308 people. The percentages of the respondents who did not provide an answer to the smoking questionnaire are also presented. The nonresponders to this question were those who were younger than 15 years of age and/or those who chose not to answer the question. The percentage of female nonsmokers was higher than male nonsmokers in all four cycles, and the percentage of both smokers and ex-smokers was higher in men than women. The number of smokers, ex-smokers and nonsmokers were higher in the urban population than in the rural population. The overall percentage of smokers decreased from 23.5% (cycle 1) to 18.3% (cycle 4), and the overall percentage of nonsmokers decreased from 32.9% (cycle 1) to 27.0% (cycle 4). The overall percentage of ex-smokers showed an increase from 23.9% (cycle 1) to 26.7% (cycle 4) (Figure 1).
The prevalence of asthma based on the response to the question “Do you have asthma diagnosed by a health professional?” is provided in Table 3. Overall, asthma prevalence increased from 7.3% in cycle 1 to 7.5% in cycle 4, although the change was not statistically significant. Women showed an increase in asthma prevalence from 7.2% (cycle 1) to 8.1% (cycle 4), while men showed a decrease from 7.3% (cycle 1) to 6.9% (cycle 4) (Figure 2). None of these changes in asthma prevalence from cycle 1 through cycle 4 were significant. Further stratification by sex and location showed an increase in asthma prevalence among rural and urban women, while the opposite was observed for rural and urban men (Table 3). Asthma was more prevalent in urban than rural residents. When stratified by location, rural men showed the most decline in asthma prevalence from cycle 1 to cycle 4, followed by urban men. However, both urban and rural women showed an increase in asthma prevalence over time (Figure 3).
Because no statistical difference was found in the overall prevalence, further analysis was conducted by stratifying by age groups (Table 4). Asthma prevalence was highest in urban men younger than 15 years of age compared with rural men, rural women and urban women. The prevalence of asthma was higher in urban men than rural men, and this difference was significant (P<0.05) in cycle 2 in the 15- to 34-year age group. A similar significant difference was noticed in women in cycle 2. In the same age group, asthma prevalence was observed to be higher in urban women than urban men, and this was significant in cycle 4 (P<0.05). In the 35- to 64-year age group, for all cycles, the prevalence of asthma was higher in women than men in both rural and urban locations. In the same age group, the prevalence of asthma among urban women increased significantly from 4.8% in cycle 1 to 8.1% in cycle 4 (P<0.05). When studying the differences between sexes, urban women showed a higher prevalence than urban men, and this was statistically significant in cycle 2. A similar trend was observed in rural men and women. For cycle 3, the prevalence in rural women was significantly higher than rural men (P<0.05). In the 65-year and older age group, asthma prevalence was higher in rural men (6.6% in cycle 1) and urban women (5.4% in cycle 1), and this, too, increased over time (7.7% in cycle 4 in rural men, and 7.8% in cycle 4 in urban women). However, the increase in prevalence over time was not significantly different.
Asthma prevalence among smokers, ex-smokers and non-smokers is presented in Table 5. These results are based on NPHS participants who were older than 15 years of age. The prevalence of asthma stratified by smoking status was studied separately for sex and location. The rural and urban differences among smokers, ex-smokers and nonsmokers for cycle 1 through cycle 4 were not statistically significant. The prevalence of asthma was higher among urban smokers, ex-smokers and nonsmokers than among rural participants, except for during cycle 4, when asthma prevalence was higher among rural ex-smokers than among urban ex-smokers.
On studying asthma prevalence stratified by sex and smoking status, prevalence was higher in female smokers and ex-smokers than men in all four cycles. The difference in the prevalence among smokers was statistically significant at the P<0.05 level for all cycles except cycle 2. Among ex-smokers, the difference was significant only in cycle 3 and 4. The prevalence of asthma among nonsmokers was more prevalent in men than women; however, no statistical difference was observed.
Within the urban location category, the prevalence of asthma significantly increased from cycle 1 to cycle 4 (P<0.05) for all three smoking categories. The prevalence also increased for rural participants, but no statistical difference was found. Within sex, an increase in asthma prevalence among men and women was observed over time for all three smoking categories. The increase in prevalence from cycle 1 through cycle 4 was statistically significant for ex-smoking and nonsmoking women (P<0.001).
These findings, based on longitudinal NPHS data, suggest that overall asthma prevalence increased among all age groups and steadily increased from cycle 1 to cycle 4. The increase was more prevalent among both rural and urban Canadian women than men. In men, a totally opposite trend was noticed. There was a decrease in asthma prevalence from 7.3% in cycle 1 to 6.9% in cycle 4. This finding is well supported by other studies conducted around the world. A Norwegian asthma survey study (24) found that the crude prevalence of asthma more than tripled in women and more than doubled in men during the study period of 26 years. Boulet et al (11) also reported that asthma prevalence was higher among women than men. When we studied the asthma prevalence after stratifying sex by age groups, asthma prevalence steadily increased in women among all age groups, but in men, the trend was mixed. The prevalence was higher and more pronounced in younger men (younger than 15 years of age) and in older women aged 15 to 64 years. Similar results have been obtained in several other studies, which have shown that asthma prevalence is associated with age and sex (25–28). The reason for this reversal during and after puberty may be attributed to hormonal changes, or due to narrowing of airway calibre in women as they grow older, while the opposite occurs in men (25,29). We found rural and urban differences in asthma prevalence in both sexes. These differences in rural and urban men in the age group from 15 to 34 years were statistically significant. There were significant differences in asthma prevalence between rural men and women, and between urban men and women. These results were interesting, because there are not many comparative studies conducted longitudinally that have investigated the prevalence of asthma among rural and urban populations. Two cross-sectional studies reported that asthma prevalence was higher among rural populations (30,31), and another suggested the opposite (4). Our study found that the prevalence of asthma was higher in urban residents than rural residents. One reason may be that living in a rural area or on a farm in the younger years is protective against developing asthma (4,32). Another reason for the higher prevalence of asthma in urban residents may be air pollution in urban areas (30). These are some of the rural-urban differences that need further investigation.
The relationship between asthma and smoking is still not clear (33). Some studies (34,35) have shown that there is a positive association between smoking and asthma, while other studies have found no associations (36,37), weak associations (38,39) or an inverse relationship (40). A cross-sectional study using NPHS data collected in the year 1994/1995 showed that smoking was associated with asthma in women but not in men (16). Further analysis of the longitudinal NPHS data set in two time periods (1994/1995 and 1996/1997) showed that this result remained unchanged (15). One of the reasons for the higher prevalence in female smokers may be that women are more susceptible to irritation of the lung from smoking, which causes an increase in asthma symptoms (41). ‘Unhealthy’ respondents (subjects with more respiratory symptoms) are less likely than healthy subjects to start smoking (42). This may be one of the reasons for the higher prevalence of asthma in male nonsmokers. The prevalence of asthma among smokers and nonsmokers were more prominent in urban residents than rural residents. Higher stress levels and lack of open spaces, compared with their rural counterparts, may be possible reasons for the higher asthma prevalence in smokers living in urban areas. Environmental factors and exposure to secondhand smoke may be possible reasons for the higher asthma prevalence among nonsmokers in urban areas. However, it is not clear from the study whether smoking causes more asthma symptoms. A reason for increased asthma prevalence among female smokers and ex-smokers may be attributed to their sensitivity toward smoking (41), but the increasing asthma prevalence among male nonsmokers needs further investigation. To reach valid conclusions, further studies with stratification by age will be beneficial.
According to our knowledge, the NPHS data set has not previously been analyzed as a comparative study of asthma prevalence among rural and urban residents. There were several advantages and disadvantages of using such a large database. A major limitation of using the NPHS was that no data were available on pulmonary function, methacholine challenge tests or allergy skin prick tests. This data set was not developed for asthma studies alone, but as a study of general health and chronic disease. Consequently, very limited information related to asthma was available. Some of the results may not have been presented due to low cell counts, because Statistics Canada recommends that estimates of unacceptable quality not be released (19). Another limitation of the study was the reliance on self-reporting of health professional-diagnosed asthma. The misreported or underdiagnosed cases can result in misclassification. Smoking was also self-reported, and the percentage of respondents who chose not to answer this question increased from 19.7% in cycle 1 to 28% in cycle 4 (Table 2). Smokers or ex-smokers might have chosen not to answer, and this could have resulted in nonrespondent bias.
There were several advantages to analyzing such a large national database. To reduce bias in the study, quality assurance measures were implemented. Interviews were conducted by experienced and trained interviewers to reduce potential interview bias. Nonresponse bias was minimized by implementing many strategies; a detailed description can be found in the documentation of the longitudinal survey by Statistics Canada (19).
As discussed earlier, the definition of self-reported ‘health professional-diagnosed’ asthma was used for the present study. Based on a survey of the literature, Torén et al (43) concluded that ‘physician-diagnosed asthma’ had a sensitivity of 64.3% and specificity of 94.3% compared with the self-reported asthma definition. In larger cohort studies, it is very expensive to conduct lung function and bronchial challenge tests. It becomes more inconvenient and costly when such tests are performed in longitudinal studies. As Pekkanen and Pearce (44) concluded, questionnaire surveys are cost effective and convenient, while sample size and response rates are high. However, supplementing the histamine challenge or lung function tests with a questionnaire can provide better understanding of asthma prevalence. It can be concluded that self-reported health professional-diagnosed asthma is a valid definition for studying the risk factors of asthma in large population-based studies.
We found opposing trends in asthma prevalence between men and women, as well as the existence of rural and urban differences in asthma prevalence. Stratified analysis according to smoking status and rural-urban location showed an increase in prevalence over time. The cause of the differences in asthma prevalence by sex, location and smoking status needs to be studied. More longitudinal studies are needed to determine the risk factors for the increase in asthma prevalence among women. The increase in asthma prevalence in male nonsmokers needs to be further investigated.
We thank the College of Graduate Research and Studies (CGSR) for providing financial support to Sunita Ghosh. We also thank Catherine Dick of Statistics Canada (Ottawa, Ontario) for her support with remote data access.