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  • 标题:Environmental Tobacco Smoke, Parental Atopy, and Childhood Asthma
  • 作者:Jouni J.K. Jaakkola
  • 期刊名称:Environmental Health Perspectives
  • 印刷版ISSN:0091-6765
  • 电子版ISSN:1552-9924
  • 出版年度:2001
  • 卷号:June 2001
  • 出版社:OCR Subscription Services Inc

Environmental Tobacco Smoke, Parental Atopy, and Childhood Asthma

Jouni J.K. Jaakkola

We hypothesized that the joint effect of genetic propensity to asthma and exposure to environmental tobacco smoke on the risk of childhood asthma is greater than expected on the basis of their independent effects. We performed a population-based 4-year cohort study of 2,531 children born in Oslo, Norway. We collected information on the child's health and environmental exposures at birth and when the child was 6, 12, 18, and 24 months and 4 years of age. The outcomes of interest were bronchial obstruction during the first 2 years and asthma at the age of 4 years. Parental atopy was defined as a history of maternal or paternal asthma or hay fever. Exposure to environmental tobacco smoke was defined on the basis of questionnaire information on household smokers at birth. In logistic regression analysis adjusting for confounding, parental atopy alone increased the risk of bronchial obstruction [odds ratio 1.62; 95% confidence interval (CI) 1.10-2.40] and asthma (1.66; 95% CI, 1.08-2.54). In children without parental atopy, there was little effect of exposure to environmental tobacco smoke on bronchial obstruction (1.29; 95% CI, 0.88-1.89) and asthma (0.84; 95% CI, 0.53-1.34). The presence of parental atopy and exposure had a substantial effect both on bronchial obstruction (2.88; 95% CI, 1.91-4.32) and asthma (2.68; 95% CI, 1.70-4.22). The results are consistent with the hypothesized joint effect of parental atopy and exposure to environmental tobacco smoke. This phenomenon--denoted as effect modification of environmental exposure by genetic constitution, or gene by environment interaction--suggests that some genetic markers could indicate susceptibility to environmental factors. Key words: asthma, atopy, gene by environment interaction, tobacco smoke. Environ Health Perspect 109:579-582 (2001). [Online 22 May 2001]

http://ehpnet1.niehs.nih.gov/docs/2001/ 109p579-582jaakkola/abstract.html

Several environmental factors, such as exposure to environmental tobacco smoke (1-5), dampness and mold problems (6-11), house dust mites (12-14), emissions from PVC flooring (15-16), and electric heating (17) have been suggested to increase the risk of asthma or asthmalike symptoms and signs in childhood. A central role of genetic factors in the development of asthma is suggested by evidence that family history of allergic diseases increases the risk of asthma (18).

We hypothesized that the joint effect of genetic propensity to asthma and environmental exposure on the risk of childhood asthma is more than expected on the basis of their independent effects. This phenomenon is commonly described as effect modification (19) or gene by environment interaction (20-21) and it suggests that some genetic markers impose susceptibility to the effects of environmental factors. We addressed the question of gene by environment interaction using the Oslo Birth Cohort, which was established 1992-1993 to study environmental determinants of respiratory health in children with special emphasis on asthma and asthma-related symptoms and signs (4,11,16,22-24). We assumed that parents with asthma or allergic rhinitis give their children a large set of genes that increase the child's susceptibility to the effects of environmental factors on asthma. More specifically, we selected environmental tobacco smoke, one of the best established environmental determinants of childhood asthma, and used parental history of allergic diseases as a measure of genetic propensity to asthma to study independent and joint effects of parental atopy and early-life exposure to environmental tobacco smoke.

Methods

Study population. The source population included children born in the two main birth clinics in Oslo during 15 months in 1992-1993. The eligibility criteria and data collection procedures for the children's first two years are described in detail elsewhere (4). Information on the child's health and environmental exposures was collected from parents by self-administered questionnaires at the child's birth and when the child was 6 months, 12 months, 18 months, and 24 months of age. The 2-year follow-up rate was 81% (n = 3,048) (4). In November 1996, we conducted a 4-year follow-up in connection with a survey directed at all the 4-year-old children living in Oslo and the members of the birth cohort living outside Oslo (23-24). All phases of the study were approved by the Norwegian Data Inspectorate (Oslo, Norway). In the present study, we focused only on the 3,048 children with information on respiratory health from the first 2 years of their life. We obtained a correct mailing address for 2,930 of these children and received a completed questionnaire from families of 2,594 (89%) children. Information on current asthma was available for 2,531 children, who constituted the study population (Table 1). These children had a mean age of 4.3 years (SD 0.3).

Table 1. Characteristics of the Oslo Birth Cohort at birth and
at 2-and 4-year follow-up surveys.

                                                2-Year        4-Year
                                 At birth       cohort        cohort
Characteristic                  (n = 3,754)   (n = 2,985)   (n = 2,531)

Sex, male                          51.8          51.3          51.3
Parental atopy                     33.7          33.9          34.6
Breast-feeding after 6 months       --           70.1          71.2
Maternal age at delivery
    (years)
  <25                              12.2          10.5           9.5
  25-29                            36.2          35.7          35.5
  >30                              51.6          53.8          55.5
Maternal education (years)
  <12                               7.3           5.6           4.7
  12-15                            39.5          38.0          36.4
  >15                              53.2          56.4          58.9
Family income per year
    (Norwegian kronor)
  < 200,000                        17.0          14.1          13.2
  200,000-500,000                  64.7          66.8          66.8
  > 500,000                        18.3          19.1          20.0
Single parenthood                  11.4           7.7           7.1
Care in a day care center at        --           15.0          15.0
    1 year(a)
Early-life exposure to             46.3          41.3          39.8
  environmental tobacco smoke

Values shown are percentages. Number of subjects with missing data is
very low: In the baseline questionnaire, 78 (family income per year)
did not respond; in the 2-year questionnaire, 101 (breast-feeding); and
in the 4-year questionnaire, 79 (breast-feeding).

(a) >10 hr per week.

Health outcomes. The primary outcomes were bronchial obstruction in the first 2 years of life and current asthma. Current asthma was defined on the basis of answer to the 4-year follow-up questionnaire as a history of asthma diagnosed by a physician and experience of symptoms of asthma during the previous 12 months. Bronchial obstruction in the first 2 years of life was defined as two or more episodes with symptoms and signs of obstruction or one episode lasting more than one month (4). We also used a combination of bronchial obstruction in the first 2 years of life and current asthma as the secondary outcome.

Genetic and environmental determinants of interest. Parental atopy was defined as a history of maternal or paternal asthma or hay fever. Information on parental asthma and hay fever was collected in the birth questionnaire. We based our assessment of exposure to environmental tobacco smoke on questionnaire information at birth about the smoking habits of the parents and other persons living in the child's home. Use of information on smoking habits at birth prevented bias that could be introduced by a change in parental smoking habits caused by appearance of symptoms and signs of asthma in the child. We evaluated the validity of questionnaire information by using the levels of cotinine and thiocyanate in umbilical cord serum in 202 randomly selected mothers. There was an excellent agreement between high and low levels of biomarkers and daily and nonsmoking mothers (25).

Covariates. We obtained information on potential confounders from the hospital records and the questionnaires. The covariates in the present analyses included sex of the child, maternal age at delivery, length of breast-feeding, care in a day care center at 1 year ([is greater than] 10 hr per week), maternal education, family income, and single parenthood. Length of breast-feeding was categorized as 0-6 months and [is greater than] 6 months.

Statistical methods. First, we studied independent and joint effects of parental atopy and exposure to environmental tobacco smoke on an additive scale (26,27). We compared the risk of experiencing bronchial obstruction in the first 2 years and asthma at 4 years of age in four exposure categories: a) no parental atopy and no exposure to environmental tobacco smoke ([R.sub.00], reference category); b) parental atopy and no exposure to environmental tobacco smoke ([R.sub.10]); c) no parental atopy and exposure to environmental tobacco smoke ([R.sub.00]; and d) parental atopy and exposure to environmental tobacco smoke ([R.sub.11]). On an additive scale, we quantified the interaction (IA) or joint effect of two factors by calculating the risk that is more than expected based on the independent effects of these factors (26):

IA = ([R.sub.11] - [R.sub.00]) - ([R.sub.10] - [R.sub.00]) - ([R.sub.01] - [R.sub.00])

Second, we used the odds ratio as a measure of effect and estimated adjusted odds ratios applying logistic regression analysis. The odds ratios were adjusted for the covariates described above. We also assessed how each allergic disease, including maternal and paternal asthma and hay fever, alone predicts the risk of developing the primary outcomes. To assess the joint effect of parental atopy and exposure to environmental tobacco smoke, we calculated odds ratios contrasting each of the three exposure categories to the reference category. Estimates for the independent effects of parental atopy and environmental tobacco smoke exposure and their joint effect was derived from the same logistic regression model adjusting for the covariates.

Results

Study population. The characteristics and early exposure of the children followed for 4 years and those of the baseline and 2-year cohort were similar (Table 1). A total of 225 children (8.9%) experienced bronchial obstruction during the first 2 years of life, and 164 children (6.5%) had current asthma at the age of 4 years.

Independent effects of parental atopy and exposure to environmental tobacco smoke.

Early-life exposure to environmental tobacco smoke increased the risk of bronchial obstruction [adjusted odds ratio 1.43; 95% confidence interval (CI), 1.07-1.90], but had little effect on the risk of asthma in the complete cohort (1.10; 95% CI, 0.79-1.53), as shown in Table 2. Parental atopy was a significant determinant of both bronchial obstruction (1.84; 95% CI, 1.39-2.44) and asthma (2.17; 95% CI, 1.57-3.00). Table 2 also presents maternal and paternal asthma and hay fever as predictors of bronchial obstruction and asthma. Maternal asthma was the strongest predictor of both bronchial obstruction (adjusted odds ratio 2.65; 95% CI, 1.72-4.10) and asthma (adjusted odds ratio 3.11; 95% CI, 1.97-4.90). The association of paternal asthma was clearly weaker both with the risk of bronchial obstruction (adjusted odds ratio 1.52; 95% CI 0.91-2.53) and asthma (adjusted odds ratio 1.57; 95% CI 0.88-2.82).

Table 2. Independent effects of parental atopy and exposure
environmental tobacco smoke on the risks of bronchial obstruction by
2 years of age and asthma at 4 years of age.

                                       Bronchial obstruction
                                         by 2 years of age

                                                   Adjus-
                                           Crude   ted(a)
                            No.    Risk     OR       OR      95% CI

Environmental tobacco
      smoke
  Early-life exposure
    No                     1,520   0.075
    Yes                    1,003   0.111   1.53     1.43    1.07-1.90
Parental allergic
      diseases
  Parental atopy
  (maternal or paternal)
    No                     1,656   0.072
    Yes                      875   0.120   1.75     1.84    1.39-2.44
  Maternal asthma
    No                     2,372   0.082
    Yes                      159   0.189   2.60     2.65    1.72-4.10
  Maternal hay fever
    No                     2,149   0.086
    Yes                      382   0.107   1.28     1.39    0.97-2.00
  Paternal asthma
    No                     2,384   0.086
    Yes                      147   0.129   1.67     1.52    0.91-2.53
  Paternal hay fever
    No                     2,086   0.085
    Yes                      445   0.108   1.30     1.35    0.96-1.91

                               Asthma at 4 years of age

                                           Adjus-
                                   Crude   ted(a)
                           Risk     OR       OR      95% CI

Environmental tobacco
      smoke
  Early-life exposure
    No                     0.061
    Yes                    0.071   1.17     1.10    0.79-1.53
Parental allergic
      diseases
  Parental atopy
  (maternal or paternal)
    No                     0.048
    Yes                    0.096   2.09     2.17    1.57-3.00
  Maternal asthma
    No                     0.057
    Yes                    0.176   3.51     3.11    1.97-4.90
  Maternal hay fever
    No                     0.060
    Yes                    0.089   1.52     1.66    1.11-2.48
  Paternal asthma
    No                     0.063
    Yes                    0.095   1.57     1.57    0.88-2.82
  Paternal hay fever
    No                     0.060
    Yes                    0.085   1.45     1.54    1.05-2.28

(a) Logistic regression controlling for sex, maternal age at delivery,
maternal education, family income, single parenthood, and length of
breast-feeding.

Joint effect of parental atopy and exposure to environmental tobacco smoke. Tables 3 and 4 show risks of bronchial obstruction and asthma in the four categories. On additive scale, the excess risk of bronchial obstruction caused by parental atopy was 0.033 and that caused by environmental tobacco smoke exposure was 0.024, and the effect caused by interaction of these two determinants was 0.044 (Table 3). In terms of relative risks, parental atopy alone increased the risk of bronchial obstruction, with an adjusted odds ratio of 1.62 (95% CI, 1.10-2.40). The effect of environmental tobacco smoke in children of nonatopic parents was weaker: 1.29 (95% CI, 0.88-1.89). The adjusted odds ratio of bronchial obstruction was 2.88 (95% CI, 1.91-4.32) in children with atopic heredity and exposure to environmental tobacco smoke, compared with children in the reference category. The 95% CIs of these effect estimates were exclusive, indicating that the stronger effect of environmental tobacco smoke in children of atopic parents could not be explained by chance.

Table 3. Independent and joint effects of hereditary atopy and
exposure to environmental tobacco smoke
on the risks of bronchial obstruction by 2 years of age.

                                        Bronchial obstruction by
                                             2 years of age

                                                 Risk
                                                diffe-     Inter-
Exposure                         No.   Risk    rence(a)   action(e)

No parental atopy                959   0.063      --         --
No ETS exposure ([R.sub.00])
  (reference)
Parental atopy                   561   0.096   0.033(b)      --
  No ETS exposure ([R.sub.10])
No parental atopy                692   0.087   0.024(c)      --
  ETS exposure ([R.sub.01])
Parental atopy                   311   0.164   0.101(d)     0.044
  ETS exposure ([R.sub.11])

                                   Bronchial obstruction
                                     by 2 years of age

                                 Crude   Adjusted
Exposure                          OR      OR(f)      95% CI

No parental atopy                1.00      1.00
No ETS exposure ([R.sub.00])
  (reference)
Parental atopy                   1.60      1.62     1.10-2.40
  No ETS exposure ([R.sub.10])
No parental atopy                1.42      1.29     0.88-1.89
  ETS exposure ([R.sub.01])
Parental atopy                   2.94      2.88     1.91-4.32
  ETS exposure ([R.sub.11])

(a) Risk in exposure category minus risk in reference category.

(b) [R.sub.10]-[R.sub.00].

(c) [R.sub.01]-[R.sub.00].

(d) [R.sub.11]-[R.sub.00].

(e) ([R.sub.11]-[R.sub.00])-([R.sub.10]-[R.sub.00])
-([R.sub.01]-[R.sub.00]).

(f) Logistic regression controlling for sex, maternal age at delivery,
maternal education, family income, single parenthood, and length of
breast-feeding.
Table 4. Independent and joint effects of hereditary atopy and exposure
to environmental tobacco smoke on the risks of asthma at 4 years of
age.

                                        Asthma at 4 years of age

                                                 Risk
                                                diffe-      Inter-
                                 No.   Risk    rence(a)    action(e)

No parental atopy                959   0.050      --          --
No ETS exposure ([R.sub.00])
  (reference)
Parental atopy                   561   0.080    0.030(b)      --
  No ETS exposure ([R.sub.10])
No parental atopy                692   0.046   -0.004(c)      --
  ETS exposure ([R.sub.01])
Parental atopy                   311   0.125   0.075(d)      0.049
  ETS exposure ([R.sub.11])

                                  Asthma at 4 years of age

                                 Crude   Adjusted
                                  OR      OR(f)      95% CI

No parental atopy                1.00      1.00
No ETS exposure ([R.sub.00])
  (reference)
Parental atopy                   1.66      1.66     1.08-2.54
  No ETS exposure ([R.sub.10])
No parental atopy                0.92      0.84     0.53-1.34
  ETS exposure ([R.sub.01])
Parental atopy                   2.72      2.68     1.70-4.22
  ETS exposure ([R.sub.11])

(a) Risk in exposure category minus risk in reference category.

(b) [R.sub.10]-[R.sub.00].

(c) [R.sub.01]-[R.sub.00].

(d) [R.sub.11]-[R.sub.00].

(e) ([R.sub.11]-[R.sub.00])-([R.sub.10]-[R.sub.00])
-([R.sub.01]-[R.sub.00]).

(f) Logistic regression controlling for sex, maternal age at delivery,
maternal education, family income, single parenthood, and length of
breast-feeding.

The excess risk of asthma related to parental atopy was 0.030, but the risk was not related to environmental tobacco smoke exposure in children without parental atopy (Table 4). The interaction of parental atopy and environmental tobacco smoke was 0.049. In logistic regression, parental atopy without environmental tobacco smoke exposure increased the risk of asthma with an odds ratio of 1.66 (95% CI, 1.08-2.54), but environmental tobacco smoke exposure without atopy had no effect on the risk of asthma (0.84; 95% CI, 0.53-1.34). The adjusted odds ratio of asthma was 2.68 (95% CI, 1.70-4.22) in children with atopic heredity and exposure to environmental tobacco smoke compared with children in the reference category. Also for asthma, the 95% CIs of these two effect estimates were exclusive.

In all, the adjusted odds ratios for the four categories did not differ substantially from the corresponding crude odds ratios, which indicated that the joint effects in additive scale are accurate (Tables 3 and 4).

Finally, we defined an additional outcome, early-onset asthma, which constituted both experience of early-life bronchial obstructions and presence of asthma at the age of 4 years. Seventy-six children met these outcome criteria. The effect of environmental tobacco smoke on this early-onset asthma was 0.74 (95% CI, 0.35-1.58) in children without parental atopy, and 3.86 (95% CI, 2.04-7.28) in children whose either or both parents were atopic.

Discussion

The findings of our prospective cohort study are consistent with the hypothesis that the joint effect of parental atopy and early-life exposure to environmental tobacco smoke on the risk of childhood asthma is greater than expected on the basis of their independent effects. The results also indicated independent effects of parental atopy on the risks of both bronchial obstruction and asthma. We found a small independent effect of exposure to environmental tobacco smoke on bronchial obstruction, but no effect on asthma at age 4--the effect of environmental tobacco smoke on asthma was seen mainly among children of atopic parents.

Validity of results. A prospective cohort study offers a suitable approach to assess the effect of hereditary and early-life environmental factors on development of asthma later in life. We were able to follow 67% of the 3,754 newborns for 4 years. Losses to follow-up were not likely to compromise the validity of the results because distributions of parental atopy and exposure to environmental tobacco smoke at baseline were similar to those of 2- and 4-year cohorts.

Information on environmental tobacco smoke exposure and parental asthma was based on parental reports. The exposure information was collected before the onset of the outcome of interest, so any bias due to awareness of the disease of interest was avoided. We evaluated the questionnaire information on maternal smoking by biomarker concentrations in cord serum and found that smoking habits were reported accurately (25).

A committee of specialists evaluated data from clinical examinations by specialists and available health records and made the diagnosis of bronchial obstruction in the first 2 years of life. To detect all the cases, we reminded the parents with each follow-up questionnaire to contact the project pediatrician in case of respiratory problems, asked outpatient clinics to refer all possible cases to the project pediatrician, and contacted families reporting respiratory symptoms in the questionnaires. A physician-conducted telephone interview with 100 parents of nonsymptomatic children revealed that no episodes of bronchial obstruction had been overlooked. The definition of current asthma was based on a diagnosis of a physician and an experience of asthmalike symptoms and signs during the previous 12 months. Free access of families to health services in Norway and our frequent contacts with the families during the first 2 years were likely to minimize underdiagnosis of asthma. Any misclassification of the outcomes was likely to be nondifferential.

We were able to take into account most known potential confounders such as sex, length of breast-feeding, maternal age at delivery, care in a day care center at 1 year, and indicators of socioeconomic status including maternal education, family income, and single parenthood. Adjustment did not change the measure of effect substantially.

Definition of interaction. We used the absolute effects on an additive scale in the definition of interaction. This is justified by the idea that the public health impact of independent effects and their possible interaction follows additive rather than, for example, multiplicative scale (26,27). This can be illustrated by a rough calculation of excess number of children experiencing bronchial obstruction caused by parental atopy, exposure to environmental tobacco smoke, and interaction of these factors from the risk differences (Table 3). Parental atopy resulted in 33 excess cases per 1,000 children and exposure to environmental tobacco smoke 24 excess cases per 1,000 children. The independence of effects would implicate 57 additional cases in the presence of both determinants. Table 3 indicates that children with both parental asthma and exposure had 101 excess cases per 1,000 with asthma; on additive scale the interaction represented 44 additional cases.

Synthesis with previous knowledge. Several recent studies have provided evidence of the role of environmental tobacco smoke as a determinant of childhood asthma (1-4). A recent meta-analysis reported a pooled estimate of 1.37 for the risk of asthma if either parent smoked (5). Our study provides additional confirmation that exposure to environmental tobacco smoke increases the risk of childhood asthma, although the effect is stronger in genetically susceptible individuals.

Our findings strengthen the evidence that hereditary allergic diseases are important determinants of childhood asthma, and are consistent with a study by Mutius and colleagues (18). Maternal asthma was the strongest determinant of both bronchial obstruction and asthma at the age of 4 years. These findings suggest strongly that genetic background is an important determinant of asthma. Because the pathophysiological and clinical manifestations of asthma are complex, studies of genetic markers have focused on specific features (phenotypes) of asthma, such as atopic immunoglobulin E (IgE) responsiveness, other inflammatory responses, and bronchial hyperresponsiveness, rather than on genetic markers of clinical asthma. Presence of high levels of IgE and bronchial hyperresponsiveness predict asthma in subjects without diagnosed asthma and occur more commonly in asthmatic than in nonasthmatic subjects. For each of these manifestations of asthma (phenotypes), there may be a gene or set of genes that confer susceptibility or predisposition (28-31). However, the inheritance patterns of the disease indicate that it is not a simple Mendelian trait; rather, asthma is a complex disease involving several genetic and environmental factors (29). We used parental asthma and hay fever to represent the complex genetic background of asthma that is inherited by the child from the parents. The strong relations between paternal and particularly maternal asthma and the development of childhood asthma provide empirical support for the use of hereditary asthma to represent the genetic determinants of asthma.

Concluding remarks. The results show that the joint effect of hereditary atopy representing genetic constitution and environmental tobacco smoke is stronger than expected on the basis of their independent effects. This phenomenon--effect modification of environmental exposure by genetic constitution, or gene by environment interaction --suggests that some genetic markers could indicate susceptibility to environmental factors. Identification of these markers is an interesting challenge for future studies.

REFERENCES AND NOTES

(1.) U.S. EPA. Respiratory Health Effects of Passive Smoking: Lung Cancer and Other Disorders. EPA/600/6-90/006F. Washington DC:U.S. Environmental Protection Agency, 1992.

(2.) Stoddard JJ, Miller T. Impact of paternal smoking on the prevalence of wheezing respiratory illness in children. Am J Epidemiol 141:96-102 (1995).

(3.) Cunningham J, O'Connor CT, Dockery DW, Speitzer FE. Environmental tobacco smoke, wheezing, and asthma in children in 24 communities. Am J Respir Crit Care Med 153:21 6-226 (1996).

(4.) Nafstad P, Kongerud J, Botten G, Hagen JA, Jaakkola JJK. The role of passive smoking in the development of bronchial obstruction the first 2 years of life. Epidemiology 8:293-297 (1997).

(5.) Strachan DP, Cook DG Parental smoking and childhood asthma: longitudinal and case-control studies. Thorax 53:204-212 (1998).

(6.) Brunekreef B, Dockery DW, Speizer FE, Ware JH, Spengler JD, Ferris BG. Home dampness and respiratory morbidity in children. Am Rev Respir Dis 140:1363-1367 (1989).

(7.) Strachan DP, Sanders CH. Damp housing and childhood asthma: respiratory effects of indoor air temperature and relative humidity. J Epidemiol Community Health 43:7-14 (1989).

(8.) Dales RE, Zwanenburg H, Burnett R, Franklin CA. Respiratory health effects of home dampness and molds among Canadian children. Am J Epidemiol 134:196-203 (1991).

(9.) Jaakkola JJK, Jaakkola N, Ruotsalainen R. Home dampness and molds as determinants of respiratory symptoms and asthma in pre-school children. J Expo Anal Environ Epidemiol 3:129-142 (1993).

(10.) Spengler J, Neas L, Nakai S, Dockery D, Speizer F, Ware J, Raizenne M. Respiratory symptoms and housing characteristics. Indoor Air 4:72-82 (1994).

(11.) Nafstad P, Oie L, Mehl R, Gaarder PI, Lodrup-Carlsen KC, Botten G, Magnus P, Jaakkola JJK. Residential dampness problems and development of bronchial obstruction in young Norwegian children. Am J Respir Grit Care Med 157:410-414 (1998).

(12.) Korsgaard J. Mite asthma and residency. A case-control study on the impact of exposure to house-dust mites in dwellings. Am Rev Respir Dis 128:231-235 (1983).

(13.) Verhoeff AP, van Strien RT, van Wijnen H, Brunekreef B. Damp housing and childhood respiratory symptoms: the role of sensitization to dust mites and molds. Am J Epidemiol 141:103-110 (1995).

(14.) van Strien RT, Verhoeff AP, van Wijnen JH, Doekes G, de Meer G, Brunekreef B. Infant respiratory symptoms in relation to mite allergen exposure. Eur Respir J 9:928-931 (1996).

(15.) Oie L, Hersoug L-G, Madsen JO. Residential exposure to plasticizers and its possible role in the pathogenesis of asthma. Environ Health Perspect 105:972-978 (1997).

(16.) Jaakkola JJK, Oie L, Nafstad P, Botten G, Samuelsen SO, Magnus P. Interior surface materials in the home and the development of bronchial obstruction in young children in Oslo, Norway. Am J Public Health 89:188-192 (1999).

(17.) Infante-Rivard C. Childhood asthma and indoor environmental risk factors. Am J Epidemiol 137:834-844 (1993).

(18.) Mutius E, Martinez FD, Fritzsch C, Nicolai T, Roell G, Thiemann HH. Prevalence of asthma and atopy in two areas of West and East Germany. Am J Respir Crit Care Med 149:356-364 (1994).

(19.) Miettinen OS. Confounding and effect modification. Am J Epidemiol 100:350-353 (1974).

(20.) Martinez FD. Gene by environment interactions in the development of asthma. Clin Exp Allergy 28(suppl 5):21-25 (1998).

(21.) Weiss ST. Gene by environment interaction and asthma. Clin Exp Allergy 29(Suppl 2):96-98 (1999).

(22.) Oie L, Nafstad P, Botten G, Magnus P, Jaakkola JJK. Ventilation in the homes and bronchial obstruction in young children. Epidemiology 10:294-299 (1999).

(23.) Nafstad P, Hagen JA, Oie L, Magnus P, Jaakkola JJK. Day-care centers and respiratory health. Pediatrics 103:753-758 (1999).

(24.) Nafstad P, Magnus P, Jaakkola JJK. Early respiratory infections and childhood asthma. Pediatrics 106:E38 (2000).

(25.) Nafstad P, Kongerud J, Botten G, Urdal P, Silsand T, Pedersen BS, Jaakkota JJK. Fetal exposure to tobacco smoke products: a comparison between self-reported maternal smoking and concentrations of cotinine and thiocyanate in cord serum. Acta Obstet Gynecol Scand 75:902-907 (1996).

(26.) Rothman KJ. Modern Epidemiology. Boston/Toronto:Little, Brown and Company, 1985;311-326.

(27.) Greenland S, Rothman KJ. Concepts of interaction. In: Modern Epidemiology (Rothman K J, Greenland S, eds). 2nd ed. Philadelphia:Lippincott-Raven Publishers, 1998;329-342.

(28.) Postma DS, Bleecker ER, Amelung PL, Holroyd KJ, Xu J, Panhuysen CI, Meyers DA, Levitt RC. Genetic susceptibility to asthma-bronchial hyperresponsiveness coinherited with a major gene for atopy. N Engl J Meal 333:894-900 (1995).

(29.) Sandford A, Weir T, Pare P. The genetics of asthma. Am J Respir Grit Care Med 153:1749-1765 (1996).

(30.) Daniels SE, Bhattacharrya S, James A, Leaves NI, Young A, Hill MR, Faux JA, Ryan GF, le Souef PN, Lathrop GM, et al. A genome-wide search for quantitative trait loci underlying asthma. Nature 383:247-250 (1996).

(31.) Collaborative Study on the Genetics of Asthma (CSGA). A genome wide search for asthma susceptibility loci in ethnically diverse populations. Nat Genet 389-392 (1997).

Jouni J.K. Jaakkola,(1),(2,(3) Per Nafstad,(2) and Per Magnus(2)

(1) Environmental Health Program, The Nordic School of Public Health, Goteborg, Sweden; (2) Section of Epidemiology, Department of Population Health Sciences, National Institute of Public Health, Oslo, Norway; (3) Environmental Epidemiology Unit, Department of Public Health, University of Helsinki, Helsinki, Finland

Address correspondence to J.J.K. Jaakkola, Environmental Health Program, The Nordic School of Public Health, P.O. Box 12133, SE-402 42 Goteborg, SWEDEN. Telephone: +46-31-693980. Fax: +46-31-691777. E-mail: jouni.jaakkola@nhv.se

This research was supported by grants from the Norwegian Research Council.

Received 13 December 2000; accepted 10 January 2001.

COPYRIGHT 2001 National Institute of Environmental Health Sciences
COPYRIGHT 2004 Gale Group

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