ELECTRONIC ARTICLE |
From the National Institute of Public Health, Copenhagen, Denmark
| ABSTRACT |
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Methods. A national cross-sectional study on health and lifestyles was performed in 19961997 using a computerized questionnaire in upper secondary schools in Denmark. We included 1887 pupils with asthma (defined as self-reported asthma diagnosed by a physician) and 20 688 controls. Smoking was categorized as daily, occasional, ex-smokers, and never smoked. We adjusted for age, gender, parents job and smoking, family type, body mass index, and exercise habits.
Results. In total, 37.7% smoked currently and 16.5% smoked daily; more girls than boys smoked. More pupils with asthma than without smoked daily (adjusted odds ratio [OR]: 1.15; 95% confidence interval [CI]: 1.041.33), they smoked significantly more cigarettes daily (10.3 vs 9.6), and more were heavy smokers (
15 cigarettes daily; adjusted OR: 1.47; 95% CI:1.141.91). Furthermore, nearly twice as many pupils who had asthma with symptoms but were not using medicine smoked as pupils who had asthma without symptoms and were using medicine (adjusted OR: 1.84; 95% CI: 0.993.41). More boys with asthma than without started smoking before 14 years of age (adjusted OR: 1.75; 95% CI: 1.092.81). However, more pupils with asthma had tried to quit (adjusted OR: 1.26; 95% CI: 0.991.60). Pupils with and without asthma were occasional smokers and ex-smokers at a similar prevalence.
Conclusions. More pupils with asthma than without smoked daily, and they also smoked more cigarettes per day. This is a major health concern, as adolescents have a high smoking prevalence in Denmark.
Key Words: asthma adolescents smoking prevalence smoking pattern
Abbreviations: OR, odds ratio CI, confidence interval
| INTRODUCTION |
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We postulated that adolescents with asthma have a higher prevalence of smoking than adolescents without asthma and especially that girls with asthma smoke more often than girls without asthma. We also postulated that asthma symptoms are associated with a higher smoking prevalence. Finally, we expected adolescents with asthma to smoke more cigarettes and start at a younger age than adolescents without asthma.
| METHODS |
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The study population was all pupils in Denmark, the Faeroe Islands, and Greenland who attended 1 of the 2 types of general upper secondary schools: gymnasium or schools that prepare pupils for the Higher Preparatory Examination. The schools decided whether they wanted to participate and how many classes to include in the survey. Likewise, the pupils were free to decide whether they wanted to participate. Of the 155 general upper secondary schools (
71 500 pupils), 91 (24 686 pupils) wanted to participate. At some schools, all classes participated; at others, a few or only 1 participated.
This study included all pupils from 15 to 20 years of age in the 89 participating schools in Denmark; schools in the Faeroe Islands and Greenland were excluded because of cultural differences from Denmark. Of the 24 310 pupils who participated, we excluded 408: 41 were missing information on gender or age, 72 had not filled in the questionnaire seriously, 5 were younger than 15 years, and 290 older than 20 years. Thus, the study cohort consisted of 23 902 pupils from 1229 classes in 89 schools.
Statistics from the Ministry of Education14 provide the average number of pupils in the classes in various educational programs and grade levels for the school year 19961997. On the basis of these,
56% of the total number of pupils in upper secondary schools participated, and on average 69% of the pupils had been invited to take part in the study at the 89 schools. Furthermore, the 1229 classes had
29 571 pupils, and the participation rate is therefore estimated to be 80.8% of the pupils in the classes included.
The National Institute of Public Health developed the computerized questionnaire together with the information technology company Marienhoff BI. The pupils completed the questionnaire using PCs available at the schools. Each class was given a set of 28 diskettes that contained 83 questions each. Each pupil was given a personal password to access the questionnaire, and for security reasons, no pupil could reopen the questionnaire after the file had been closed. We used the following questions to collect information on effect variables, outcome variables, and possible confounders.
Effect Variables
Q1) Has a physician told you that you have asthma? (yes/no)
Q2) Have you had asthma within the past year or earlier? (yes, within the past year/yes, earlier/no)
Q3) Indicate whether you have taken asthma medicine within the past 14 days. (yes/no)
We defined a person as having asthma when he or she answered yes to Q1 and Q2 and as not having asthma when he or she answered no to all 3 questions. People with other combinations of answers were defined as not classifiable and excluded. A "yes, within the past year" to Q2 is referred to here as "having asthma symptoms."
Outcome Variables
Q1) Do you smoke? (yes, every day/yes, at least once a week/yes, but not every week/yes, but only on special occasions/no, I do not smoke)
Q2) Have you smoked previously? (yes, only on special occasions/yes, but only a few times/yes, but I quit <6 months ago/yes, I quit between 6 and 12 months ago/yes, but I quit >12 months ago/no, I have never smoked)
Q3) Have you tried to quit smoking? (yes/no)
Q4) How old were you when you started smoking regularly? (present and previous daily smokers were asked)
Q5) How much do you smoke or did you smoke? (give the number of cigarettes per day or grams of pipe tobacco per week)
We defined 4 groups: 1) daily smokers (Q1: yes, every day), 2) occasional smokers (Q1: yes, at least once a week, not every week, on special occasions), 3) ex-smokers (Q2: any yes answer), and 4) people who had never smoked (Q2: I have never smoked). We converted the grams of tobacco per week into cigarettes per day, using 1 g per cigarette.
Possible Confounders
We used information on possible confounders from the questionnaire: age, gender, weight and height, parents job and smoking, family type, body mass index (weight in kg/[height in meters]2), and exercise habits.
Statistics
We used logistic regression to estimate the prevalence and the crude and adjusted odds ratios (OR) with 95% confidence intervals (CIs) for the various smoking patterns comparing people with and without asthma. We used people with and without asthma who had never smoked as reference groups. We adjusted for gender, age (1-year categories), and possible confounders that we expected to be relatively time-stableconfounders that may have been present before people started to smoke, such as parents smoking and parents job, body mass index, and exercise habits using the categories shown in Table 1.
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15 cigarettes per day), and the age of smoking start in age groups (713, 14, 15, 1620) using the same potential confounders as described above. To estimate the average daily consumption of cigarettes and average age at smoking start, we performed crude and multiple linear regression analyses using the same potential confounders as described above. To estimate the effect of gender, we repeated all subanalyses by stratifying further for gender.
| RESULTS |
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The cumulative prevalence of asthma diagnosed by physicians was 8.4% (1887): 8.8% of girls and 7.7% of boys. Of the total sample, 5.8% (1307) reported both physician-diagnosed asthma and asthma symptoms within the past year, more girls (6.3%) than boys (4.9%), and 2.6% reported physician-diagnosed asthma but no asthma symptoms within the past year. A total of 4.7% (1066) had taken asthma medicine within the past 2 weeks (4.9% girls and 4.4% boys). Among the pupils with asthma, 76.7% may have had current asthma (symptoms and/or using medicine or no symptoms using medicine) and 23.3% had no symptoms and used no medicine, which may indicate remission of asthma. Table 1 shows the baseline characteristics of the pupils with and without asthma.
Smoking Pattern
In total, 59.4% had ever smoked (37.7% smoked currently, including 16.5% daily and 21.2% occasionally, and 21.7% were ex-smokers) and 40.6% had never smoked. Generally, more girls than boys smoked (adjusted OR: 1.29; 95% CI: 1.221.36).
The crude smoking prevalence among pupils with asthma was 18.9% versus 16.3% among pupils without asthma (Table 2). Pupils with asthma were more often daily smokers (adjusted OR: 1.15; 95% CI: 1.001.33), as were pupils who had asthma with symptoms (adjusted OR: 1.21; 95% CI: 1.021.43) and pupils who had asthma and were not using asthma medicine (adjusted OR: 1.25; 95% CI: 1.001.53) compared with pupils without asthma (Table 3). Furthermore, exclusion of pupils with asthma in remission increased the OR for daily smoking among pupils with current asthma (adjusted OR: 1.20; 95% CI: 1.031.39; data not shown).
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More girls with than without asthma were daily smokers (adjusted OR: 1.30; 95% CI: 1.061.58), but the boys did not differ (Table 3). The interaction between asthma and gender, however, was not significant (P = .16). Pupils with and without asthma were occasional smokers and ex-smokers at a similar prevalence (data not shown).
Attempts to Quit Smoking Among Daily Smokers
Approximately two thirds (64.3%) of daily smokers had tried to quit smoking, and girls had generally tried to quit more often than boys (adjusted OR: 1.36; 95% CI: 1.171.58; data not shown). More pupils with than without asthma tended to have tried to quit (adjusted OR: 1.26; 95% C: 0.991.60; Table 4).
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15 cigarettes per day; adjusted OR: 1.47; 95% CI: 1.131.91; Table 5), especially girls with asthma, but the tests for asthma-gender interaction were not statistically significant (data not shown).
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| DISCUSSION |
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15 cigarettes per day). Boys with asthma smoked more cigarettes and started smoking earlier than did boys without asthma. Nearly twice as many pupils who had asthma with symptoms but were not using medicine smoked daily as those who had asthma without symptoms but were using medicine. Approximately two thirds of all daily smokers had tried to quit smoking, girls more often than boys, and more with than without asthma had tried to quit. Pupils with and without asthma were occasional smokers and ex-smokers at a similar prevalence. Our results are based on pupils in upper secondary school, and smoking among pupils with asthma may therefore be a more serious problem than our results indicate, as the prevalence of smoking is higher among adolescents with less schooling than upper secondary school and among adolescents who drop out of school.15,16 Adolescents with asthma seem to be at risk for taking up smoking, and especially those with a poor compliance (symptoms but not using medicine) may be a high-risk group for taking up smoking, or, conversely, taking up an unhealthy lifestyle habit such as smoking may be associated with poor self-care after poor compliance.
Most studies find that smoking increases the asthmatic symptoms,35,17 but the causal relation between smoking and asthma is not clear-cut. One study found that the onset of asthma in 90% of the subjects had preceded the smoking start,17 whereas another found that smoking may increase the incidence of asthma among adolescents.8 Furthermore, smoking may increase the risk of relapse of prolonged remission of childhood wheezing at 33 years of age.18 Although the asthma diagnoses were physician-based, the validity is unknown. Some adolescents may therefore have asthmatic symptoms as a result of smoking, or smoking may have induced asthma or relapse of asthma. Unfortunately, as we did not know when asthma had been diagnosed, we could not estimate these risks or validate the diagnoses. These issues may be important but were not especially important for this study, which mainly focused on smoking among adolescents with physician-diagnosed asthma, because we believe that adolescents with asthma should not be smoking, regardless of the reason for their asthma or asthmatic symptoms.
Our findings that more pupils with asthma smoke daily and that they smoke more cigarettes per day than pupils without asthma and that pupils with asthma start smoking at a younger age are consistent with previous findings.68,12 Previous studies have shown that adolescents with asthma have a higher prevalence of smoking, but not much attention has been given to this major health problem. One explanation may be that physicians and nurses do not generally ask adolescents with asthma about their smoking behavior, as they may assume that these adolescents do not smoke.
However, clinical staff, general practitioners, pediatricians, and school nurses should become aware of this problem and start programs that specifically focus on preventing smoking and motivating and supporting those who want to quit, with a specific focus on adolescents with asthma. As approximately two thirds of the adolescent smokers have tried to quit and pupils with asthma tended to have tried more often than pupils without asthma, the adolescents, especially the girls, therefore, seem to be motivated to quit but need support to succeed.
Our study has both strengths and limitations. The study was large, including 20 688 adolescent without asthma and 1887 with asthma diagnosed by a physician, and the gender distribution of the cohort was similar to that of all general upper secondary schools in Denmark.14 Although only 59% of these schools wanted to participate, 80.8% of the adolescents in the targeted classes participated. We do not believe that the study had differential selection bias in terms of people with asthma or smoking pattern, but it is not without random error. Both the physician-based asthma diagnosis and the smoking were self-reported; we believe that our data are reliable because the prevalence of asthma is similar to that in other studies of self-reported physician-diagnosed asthma in Denmark19 and because self-reported smoking provides reliable data.20, 21 Although we excluded all pupils with uncertain information on asthma, some asthma may have been misclassified. The real prevalence of asthma may be higher than the level that we found, partly because of the excluded respondents and because asthma is probably underdiagnosed,22 and the underestimation of asthma may bias the result toward 0.
Our study was cross-sectional, which can present only associations and not causal relations. We adjusted only for confounders that may have been present before smoking started. Smoking is associated with many other factors, such as smoking among peers and siblings, alcohol intake, drugs, social problems, and personality, and several cohort studies show that having friends who smoke increases the risk that nonsmokers will start to smoke.2325 As we did not have any information on whether smoking or smoking peers came first, we did not adjust for these variables in the analyses. For the same reasons, we did not include factors such as alcohol consumption,26 drug abuse,27 personality, or psychosocial factors,2831 although they are closely associated with smoking.
| CONCLUSIONS |
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| ACKNOWLEDGMENTS |
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We thank Gert Allan Nielsen and Niels Kr. Rasmussen for preparing the cohort and collecting the data.
| FOOTNOTES |
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Reprint requests to (D.H.P.) National Institute of Public Health, Svanemøllevej 25, DK-2100 Copenhagen, Denmark. E-mail: dhansen{at}dadlnet.dk
| REFERENCES |
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