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Vol. 46. Núm. 2.
Páginas 112-118 (marzo - abril 2018)
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Visitas
2147
Vol. 46. Núm. 2.
Páginas 112-118 (marzo - abril 2018)
Original Article
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Incidence of asthma in young adults from Castellon, Spain: A prospective cohort study
Visitas
2147
L. Segura-Navasa, A. Arnedo-Penab,c,
Autor para correspondencia
albertoarnedopena@gmail.com

Corresponding author.
, R. Tosca-Segurad, M.A. Romeu-Garcíae, N. Meseguer-Ferrere, E. Silvestre-Silvestref, F. Condef, S. Fernández-Gonzálezg, M. Dubonf, M. Ortuño-Forcadaf, J. Fabregat-Puertoh, C. Fenollosa-Ampostaf, M.R. Pac-Sai, L. Museros-Recatalaj, A. Vizcaino-Batllése, J.B. Bellido-Blascoe,c
a Health Centre, Burriana, Castellon, Spain
b Department of Health Sciences, Public University of Navarra, Pamplona, Spain
c CIBER: Epidemiology and Public Health (CIBERESP), Barcelona, Spain
d Service of Pediatrics, Hospital General, Castellon, Spain
e Epidemiologic Division, Public Health Centre, Castellon, Spain
f Public Health Centre, Castellon, Spain
g Hospital 12 de October, Madrid, Spain
h Health Care Documentation, Hospital General, Castellon, Spain
i International Health, Sanidad Exterior, Castellon, Spain
j Health Inspection, Hospital General, Castellon, Spain
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Tablas (4)
Table 1. Characteristics of Castellon cohort: comparison of follow-up group with non-follow-up group.
Table 2. Cumulative incidence of asthma by gender and age in the Castellon cohorts 1994–2002 and 2003–2012.
Table 3. Bivariate analysis of risk factors for asthma in the Castellon cohort by Poisson regression.
Table 4. Risk and protective factors of asthma incidence in the Castellon cohort: Poisson regression analysis.
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Abstract
Background

The objective was to estimate the incidence of asthma in young adults from 13–15 years old to 23–25 years old, and associated factors.

Methods

In 2012, a population-based prospective cohort study was carried out in Castellon from the cohort who had participated in the International Study of Asthma and Allergy in Childhood in 1994 and 2002. A telephone survey was undertaken using the same questionnaires. A new case of asthma was defined as a participant free of the disease in 2002 who suffered asthma, was diagnosed with asthma, or took medications against asthma based on self-report from 2002 to 2012.

Results

The mean age of participants was 24.9±0.6 with a follow-up of 79.1%. Asthma cumulative incidence was 3.4%: 44 new cases occurred among 1280 participants. The incidence was higher in females than males with relative risk (RR)=2.02 (95% confidence interval [CI] 1.1–3.8). A significant decrease of asthma incidence density was observed (8.2 cases to 3.5 cases per 1000 person/year). Factors associated with the incidence of asthma were allergic rhinitis (RR=4.05; 95% CI 1.7–9.6), bronchitis (RR=2.13; 95% CI 1.0–4.5), mother's age at time of birth (RR=0.87; 95% CI 0.8–0.9) and a pet other than a dog or cat (RR=0.42; 95% CI 0.2–0.9). For gender, some variations in the risk factors were observed.

Conclusions

A significant decrease in the incidence of asthma was observed. Several risk and protective factors were found.

Keywords:
Asthma
Incidence
Cohort
Young adults
Risk factors
Texto completo
Introduction

Asthma is the most common respiratory disease of the lower respiratory tract in children worldwide, and is becoming one of the most prevalent chronic diseases and causes of morbidity today. According to data obtained in the International Study of Asthma and Allergy in Childhood (ISAAC) phase III worldwide,1 in schoolchildren the asthma prevalence stands at 11.7%, increasing to 14.1% in the case of teenagers. In Castellon, the latest data on prevalence stands at 9% for adolescents.2

Few published studies have evaluated the trend in asthma incidence among the same population from school age to adulthood. A study based on the European Community Respiratory Health Study (ECRHS) estimated a cumulative incidence of 3.9% among adults aged 20–44 years.3 In Castellon, the incidence among adolescents (13–15 years old) was 6.4% (108 new cases) between 1994 and 2002.4

In this context, the objective of the present study was to follow up the cohort of schoolchildren in Castellon from 2002 (13–15 years old) to 2012 (23–25 years old) in order to estimate the incidence of asthma and its risk factors, and to compare it with the period 1994–2002.

Patients and methods

A population-based prospective cohort study was carried out on the cohort of schoolchildren who had participated in the ISAAC phases I (6–7 years old) and III (13–15 years old) in 1994 and 2002, respectively. During January–June 2012, the same period and the same questionnaires from the previous studies were used with some additional questions. The information was obtained by telephone interviews with participants conducted by staff at the Public Health Centre of Castellon and other health institutions. The questionnaire included items on asthma, eczema and allergic rhinitis following the ISAAC methodology. In addition, information about risk factors for asthma was based on specific questionnaires completed by the parents of participants in the ISAAC phases I and III in 1994 and 2002, respectively.

Definition of asthma was based on a positive response to at least one of the following questions.

  • Have you ever had asthma?

  • Do you take any medication for asthma?

  • Has the doctor diagnosed asthma?

From 3607 schoolchildren who participated in the ISAAC phase I in 1994, 1805 schoolchildren took part in 2002 in the ISAAC phase III,4 and 1435 (79.5%) adolescents were follow-up to 2012; 370 (20.5%) adolescents were lost to follow-up. Of the 1435 follow-up participants, 1280 were free of asthma in 2002.

Statistical analysis

The cumulative incidence of asthma was estimated considering the new cases divided by the follow-up participants with a 95% confidence interval (CI), considering a binomial distribution. Asthma incidence density (AID) was estimated from the person – years of follow-up. Chi2 and Fisher tests were used to compare qualitative variables, and Kruskal–Wallis test was used for quantitative variables. Poisson regression models were used in the bivariate and multivariate analysis to study the relationship between asthma and risk or protective factors by the relative risk (RR) with 95% CI. For the multivariate analyses, independent covariates associated with asthma and an alpha value less than p<0.20 were included in the model to arrive at a model with all the covariates with a significant association. No interactions were observed among significant variables and all models had an adequate goodness-of-fit. Population attributable risk (PAR), the percentage of cases reduced by removal of a risk, and population prevented fraction (PPF), the percentage of cases prevented with an intervention, were calculated following the formulas proposed by Kleinbaum et al.5 The Stata® programme (version 12) was used in the statistical analysis.

The study was approved by the Ethics Committee of the General Hospital of Castellon and informed consent was obtained from each participant.

Results

The follow-up rate from 2002 to 2012 was 79.5% (1435/1805); 743 were female and 692 male; the mean age was 24.9±0.6 years. Some significant differences between the follow-up group and non-follow-up group are shown in Table 1. Participation was higher among females than males, in younger than older participants, and in small-town residents than city residents. Variables such as mother's age at time of birth, smoking mother, and cat at home were associated with lower participation. On the other hand, exclusive breastfeeding was associated with higher participation.

Table 1.

Characteristics of Castellon cohort: comparison of follow-up group with non-follow-up group.

Variables  Follow-up, N=1435
N (%) 
Non-follow-up, N=370
N (%) 
p-Value 
Male  692 (48.2)  209 (56.5)  0.05 
Age (years)
24  341 (23.8)  90 (24.3)   
25  953 (66.4)  225(60.8)   
26  241 (9.8)  55 (14.9)  0.016 
Cities and towns
L’Alcora  80 (90.9)  8(9.1)   
Almassora  115(85.8)  19(14.2)   
Benicassim  53 (77.9)  14(20.9)   
Borriol  30 (83.3)  6(16.7)   
Castello  833 (79.1)  220(20.9)   
Grau de Castello  60 (65.9)  31(34.1)   
Vila-real  251(77.9)  71(22.1)  0.002 
Social class
High/middle (I–II)  284 (20.7)  72 (20.3)   
Low (III–VI)  1087 (79.3)  283 (79.7)  0.857 
Exclusive breastfeeding
No  442 (40.9)  117(48.2)   
Yes  640(59.2)  126 (51.8)  0.037 
Mother age <26 years at time of birth
No  769 (72.0)  153 (64.3)   
Yes  299 (28.0)  85 (35.7)  0.018 
Smoking mother
No  736 (67.8)  147(61.0)   
Yes  349 (32.2)  94 (39.0)  0.042 
Smoking father
No  640 (59.5)  131(55.3)   
Yes  435 (40.5)  106(44.7)  0.228 
Dog at home
No 
835 (60.4)  212 (60.9)   
Yes  547 (39.6)  136 (39.1)  0.902 
Cat at home
No 
1199 (83.6)  290 (78.4)   
Yes  236 (16.4)  80(21.6)  0.021 

Social class: I, professional; II, managerial and technical; III, skilled non-manual; IV, skilled manual; V–VI, partially skilled and unskilled.

The comparison of the 1994–2002 and 2003–2012 periods is presented in Table 2. The cumulative incidence of asthma for the total, decreased from 6.4% (108 new cases/1698 participants) in the first period to 3.4% (44 new cases/1280 participants) in the second. A significant decrease is also observed for the AID. The AID obtained in our study was 3.5 cases per 1000 person – years, lower than the previous period, 8.2 cases per 1000 person – years (RR=0.43; 95% CI 0.3–0.6, p=0.000). For females, 7.9 and 4.6 cases per 1000 person – years (RR=0.59; 95% CI 0.38–0.92, p=0.021); for males 8.5 and 2.3 per 1000 person – years (RR=0.27; 95% CI 0.15–0.48, p=0.000), respectively.

Table 2.

Cumulative incidence of asthma by gender and age in the Castellon cohorts 1994–2002 and 2003–2012.

  FemaleMaleTotal
  Cases  Population  Cases  Population  Cases  Population 
Period
1994–2002 
51  835  57  863  108  1698 
Rate 95% CI  6.1% (4.6–8.0)    6.6% (5.0–8.5)    6.4% (5.2–7.6)   
Period
2003–2012 
30  662  14  618  44  1280 
Rate 95% CI  4.5% (3.1–6.4)    2.3% (1.2–3.8)    3.4% (2.5–4.6)   

CI: confidence interval.

The bivariate analysis of risk and protective factors of asthma is presented by Poisson regression (Table 3). The asthma incidence was higher in females than males with a significant difference (RR 2.00; 95% CI 1.06–3.77, p=0.032). The significant factors associated with asthma were history of allergic rhinitis, family history of allergic rhinitis, history of bronchitis, history of sinusitis, mother's age at time of birth, and pet other than a dog or cat at home.

Table 3.

Bivariate analysis of risk factors for asthma in the Castellon cohort by Poisson regression.

Variables  Cases, N=44  Population, N=1280  RR (95 CI)  p-Value 
Gender
Male 
14  618  1.00   
Female  30  662  2.00 (1.06–3.77)  0.032 
Age
24 years 
10  300  1.00   
25 years  27  849  0.95 (0.46–1.97)  0.899 
26 years  131  1.60 (0.61–4.21)  0.338 
History allergic rhinitis
No 
30  1165  1.00   
Yes  12  94  4.96 (2.54–9.63)  0.000 
History atopic dermatitis
No 
25  814  1.00   
Yes  176  1.18(0.67–3.28)  0.334 
Family history asthma
No 
27  879  1.00   
Yes  87  1.12 (0.34–3.70)  0.849 
Family history allergic rhinitis
No 
20  793  1.00   
Yes  11  163  2.68(1.28–5.58)  0.009 
Family history atopic dermatitis
No 
24  847  1.00   
Yes  106  2.00(0.82–4.89)  0.130 
History pneumonia
No 
24  844  1.00   
Yes  66  1.60 (0.18–5.31)  0.444 
History bronchitis
No 
17  751  1.00   
Yes  12  182  2.91 (1.39–6.10)  0.005 
History sinusitis
No 
21  830  1.00   
Yes  83  2.86 (1.15–7.08)  0.023 
History otitis
No 
19  574  1.00   
Yes  12  380  0.95(0.46–1.97)  0.898 
Smoking at home
No 
10  410  1.00   
Yes  25  859  0.63 (0.35–1.14)  0.126 
Dog at home
No 
27  746  1.00   
Yes  12  485  0.88 (0.35–1.35)  0.237 
Cat at home
No 
39  1072  1.00   
Yes  208  0.66 (0.26–1.68)  0.383 
Pet other than dog or cat at home
No 
30  605  1.00   
Yes  14  675  0.42 (0.22–0.79)  0.007 
Mother's age <26 years at time of birth
No 
15  698  1.00   
Yes  17  279  2.84 (1.41–5.68)  0.003 
Mother's age at time of birth ≥35 years  13  387  1.00   
30–34 years  269  0.44 (0.14–1.36)  0.154 
25–29 years  13  428  0.90(0.42–1.95)  0.797 
≤24 years  14  196  2.13 (1.00–4.52)  0.050 
Exclusive breastfeeding
No 
14  404  1.00   
Yes  18  557  0.93 (0.46–1.87)  0.845 
Day care
No 
12  349  1.00   
Yes  20  638  0.91 (0.45–1.88)  0.800 
Social class
High/Middle I–II 
249  1.00   
Low III–VI  37  973  1.89 (0.74–4.82)  0.180 
Truck traffic
Rare 
21  677  1.00   
Frequent  10  252  1.28 (0.60–2.72)  0.521 
Constant  54  0.60 (0.08–4.44)  0.614 
Residence >50,000 inhabitants
No 
282  1.00   
Yes  37  992  1.50 (0.67–3.37)  0.323 
Industrial zone
No 
27  789  1.00   
Yes  15  456  0.96(0.51–1.81)  0.902 
Seaside zone
No 
40  1170  1.00   
Yes  101  1.15 (0.41–3.27)  0.779 

RR: relative risk; CI: confidence interval; some items had incomplete information.

Sociastabl class: I, professional; II, managerial and technical; III, skilled non-manual; IV, skilled manual; V–VI, partially skilled and unskilled.

In the Poisson regression model (Table 4), four factors were associated with the incidence of asthma, history of allergic rhinitis (RR=4.05; 95% CI 1.71–9.60), history of bronchitis (RR=2.13; 95% CI 1.0–4.55), mother's age at time of birth (RR=0.87; 95% CI 0.80–0.95) and pet other than a dog or cat at home (RR=0.42; 95% CI 0.2–0.9). For males, the risk factor was personal history of allergic rhinitis (RR=10.95; 95% CI 2.54–47.24), and protective factors were mother's age at time of birth (RR=0.79; 95% CI 0.67–0.94) and pet other than a dog or cat at home (RR=0.08; 95% CI 0.01–0.65). For females, the risk factor was history of bronchitis (RR=2.60; 95% CI 1.03–6.54) and a protective factor was mother's age at time of birth (RR=0.90; 95% CI 0.81–0.99). Mean of mother's age at time of birth was 25.1±4.7 years for cases and 28.2±4.8 years for non-cases (p=0.0006). In the multivariate Poisson regression model, for mother's age less than 26 years the RR of asthma was 2.54 (95% CI 1.2–5.34).

Table 4.

Risk and protective factors of asthma incidence in the Castellon cohort: Poisson regression analysis.

Variables  Female  Male  Total 
  RR (95% CI)  RR (95% CI)  RR (95% CI) 
History of allergic rhinitis  –  10.95 (2.54–47.24)  4.05 (1.71–9.60) 
History of bronchitis  2.60 (1.03–6.54)  –  2.13 (1.00–4.55) 
Mother's age at time of birth  0.90 (0.81–0.99)  0.79 (0.67–0.94)  0.87 (0.80–0.95) 
Pet other than a dog or cat at home  –  0.08 (0.01–0.65)  0.42 (0.20–0.89) 

We estimated the PAR% and PPF% after the Poisson regression analysis. The PAR% were 20.5% for history of allergic rhinitis and 22.0% for history of bronchitis, both higher than those obtained in the previous period, 4.4% and 18%, respectively. Considering the mother's age at time of birth less than 26 years in the same Poisson regression model, the PAR% was 32.3% and the PPF% of pet other than a dog or cat at home was 30.6%.

Discussion

In the area of Castellon, the incidence of asthma between 13–15 years old and 23–25 years old was 3.44%. A significant decrease of asthma from the 1994 to 2002 cohort study was observed4 with an incidence rate of asthma of 8.2 per 1000 persons/year, and 3.5 per 1000 person – years in the present study, although the follow-up of the two studies were 8 and 10 years, respectively. By gender, the biggest fall was among males.

Few studies have been published to date on the incidence of asthma in young adults. Moreover, comparisons are not easy to make due to differences in case definition, periods of study, and asthma diagnosis. In an international adult population study,3 age 20–44 the cumulative incidence of asthma was 3.9%, like our study. Incidence of asthma in a Spanish adult cohort (age 20–44) based on the European Community Respiratory Health Survey was 5.53 cases per 1000 person – years,6 and in a Huelva cohort7 with the same age as the Spanish cohort it was 4.76 cases per 1000 person – years, both higher than our study.

The risk factors for asthma in the 1994–2002 cohort study4 were history of allergic rhinitis, history of bronchitis, high social class (groups I–II versus III–VI) and family history of asthma. In our study the risk factors were history of allergic rhinitis and history of bronchitis, and two protective factors were mother's age at time of birth and pet other than a dog or cat. If we compare the results to the study published in 20074 on the same cohort but 10 years earlier, factors associated with asthma have changed. History of allergic rhinitis and bronchitis remain risk factors, but both with relative risks greater than those detected in 2002. In addition, asthma was a risk factor of allergic rhinitis incidence in this young adults cohort.8 This suggests that risk factors may change following the development from adolescence to adulthood. Modifying factors may have influenced asthma and be part of the cause of the decrease in the incidence and the prevalence of stabilisation.

Some of these factors are found in other cohort studies, including history of allergic rhinitis,3,9 history of bronchitis,3,10 and other risk factors have been identified, such as parental asthma and allergic rhinitis, poor parents, mother who smoked during pregnancy, early or late day-care attendance or respiratory infections.11,12 In 2009, the study of prevalence of this cohort detected a protective association with a pet other than a dog or cat and mother's age at time of birth and asthma.13 The relationship between the mother's age to asthma observed in some studies could be associated with prenatal and maturity level.14,15 On the other hand, owning rodents or birds has not been associated with asthma incidence in eleven European birth cohorts.16 However, in the United Kingdom one birth cohort study found that pet ownership was associated with reduced atopic asthma and increased non-atopic asthma.17

Females have up to two times more risk of developing asthma. Cumulative incidence was also higher among women than men (4.53% versus 2.27%) as well as an increased risk of asthma attacks, night-time awakenings, need for medication and wheezing in the last year. Other cohort studies also detected this difference between sexes.3,18 In childhood, asthma is more common in males,19,20 reaching a plateau in adolescence between the two sexes in adulthood to reverse the trend, when it becomes more frequent in women. We believe the effect of female sex hormones could be playing an important role as a modulator of the inflammatory response and the occurrence of cyclical changes in airflow and lung diffusion capacity.21–23

The risk and protective factors found in our study indicate the evidence of the multi-factorial aetiology of asthma and these factors change with the age. In addition, genome-wide association studies have discovered genetic loci of asthma risk.24–26 Per the latest theories on the aetiology and the appearance of new asthma phenotypes-endotypes,27,28 we believe that this disparity regarding risk factors is due to limited knowledge about the origin of the disease.

Few national studies based on the young adult population have examined the incidence of asthma. In Spain, there are no studies assessing the evolution of the incidence of asthma and associated factors from adolescence to adulthood, perhaps because of the complexity of tracking a cohort of individuals at great risk of dispersion. For this reason, our study makes a unique contribution to date.

The study has some strengths, including the prospective design, a sufficiently large sample to detect potential risk factors, acceptable follow-up, and the use of the same core questionnaire.29 However, the following limitations should be noted: the follow-up losses were associated with gender, some items were not completed by the participants, some risk factors for asthma such as diet and home characteristics, ambient air pollution, and vitamin D status were not included in the study,30–32 no objective measures were used in this study such as lung function or allergy skin prick test33 and the case definition of asthma was based on self-reported asthma34 and under-diagnoses of asthma could have occurred.35,36

Conclusion

A significant decrease in the incidence asthma was observed when the age increased. History of rhinitis, history of bronchitis, mother's age at time of birth and a pet other than a dog or cat were the factors associated with asthma.

Conflict of interest

The authors have no conflict of interest to declare.

Ethical disclosuresConfidentiality of data

The authors declare that they have followed the protocols of their work centre on the publication of patient data and that all the patients included in the study have received sufficient information and have given their informed consent in writing to participate in that study.

Right to privacy and informed consent

The authors have obtained the informed consent of the patients and/or subjects mentioned in the article. The author for correspondence is in possession of this document.

Protection of human subjects and animals in research

The authors declare that the procedures followed were in accordance with the regulations of the responsible Clinical Research Ethics Committee and in accordance with those of the World Medical Association and the Helsinki Declaration.

Acknowledgment

We thank the participants and their families for their cooperation in making the study possible.

References
[1]
J. Mallol, J. Crane, E. von Mutius, J. Odhiambo, U. Keil, A. Stewart, et al.
The International Study of Asthma and allergies in childhood (ISAAC) Phase Three: a global synthesis.
Allergol Immunopathol (Madr), 41 (2013), pp. 73-85
[2]
L. Carvajal-Urueña, R. García-Marcos, M. Busquets-Monge, N. Morales Suárez-Varela, J. García de Andoin, Batlles-Garrido, et al.
Variaciones geográficas en la prevalencia de síntomas asma en los niños y adolescentes españoles. International Study of Asthma and Allergies in Childhood (ISAAC) fase III España.
Arch Bronconeumol, 41 (2005), pp. 659-666
[3]
J.M. Antó, J. Sunyer, X. Basagaña, R. Garcia-Esteban, I. Cerveri, R. de Marco, et al.
Risk factors of new-onset asthma in adults: a population-based international cohort study.
[4]
A. Arnedo, J.B. Bellido, M.R. Pac, A. Artero, J.B. Campos, L. Museros, et al.
Incidence of asthma and risk factors in a cohort of school children aged from 6-7 years old to 14-15 years old in Castellón (Spain) following the International Study of Asthma and Allergies in childhood (ISAAC).
Med Clin (Barc), 129 (2007), pp. 165-170
[5]
D.G. Kleinbaum, L.L. Kupper.
Morgenstern. Epìdemiologic research: principles and quantitative methods.
Wiley, (1982), pp. 38-39
[6]
X. Basagaña, J. Sunyer, J.P. Zock, M. Kogevinas, I. Urrutia, J.A. Maldonado, et al.
Incidence of asthma and its determinants among adults in Spain.
Am J Respir Crit Care Med, 164 (2001), pp. 7-1133
[7]
A. Pereira Vega, J.L. Sánchez Ramos, J.A. Maldonado Pérez, I. Sánchez Rodríguez, F.L. Gil Muñoz, D. García Jiménez.
Asthma incidence in Huelva, Spain at 2 stages of life: childhood and young adulthood.
Arch Bronconeumol, 44 (2008), pp. 464-470
[8]
A. Arnedo-Pena, M.A. Romeu-Garcia, J.B. Bellido-Blasco, N. Meseguer-Ferrer, E. Silvestre-Silvestre, F. Conde, et al.
Incidence of allergic rhinitis in a cohort of young adults from 3–15 years old to 23–25 years old in Castellon (Spain).
Allergol Immunopathol (Madr), 45 (2017), pp. 251-257
[9]
J. Lötvall, C.A. Akdis, L.B. Bacharier, L. Bjermer, T.B. Casale, A. Custovic, et al.
Asthma endotypes: a new approach to classification of disease entities within the asthma syndrome.
J Allergy Clin Immunol, 127 (2011), pp. 355-360
[10]
A. Rantala, J.J.K. Jaakkola, M.S. Jaakkola.
Respiratory infections precede adult-onset asthma.
[11]
L.B. Gabenhenrich, H. Gough, A. Reich, N. Eckers, F. Zepp, O. Nitsche, et al.
Early-life determinants of asthma from birth to age 20 years: a German birth cohort study.
J Allergy Clin Immunol, 133 (2014), pp. 979-988
[12]
J.J. Yeh, Y.C. Wang, W.H. Hsu, C.H. Kao.
Incident asthma and Mycoplasma pneumoniae: a nationwide cohort study.
J Allergy Clin Immunol, 137 (2016), pp. 23-1017
[13]
A. Arnedo-Pena, J. Puig-Barberà, J.B. Bellido-Blasco, M.R. Pac-Sa, J.B. Campos-Cruañes, A. Artero-Sivera, et al.
Risk factors and prevalence of asthma in schoolchildren in Castellon (Spain): a cross-sectional study.
Allergol Immunopathol (Madr), 37 (2009), pp. 135-142
[14]
C. Infante-Rivard.
Young maternal age: a risk factor for childhood asthma.
Epidemiology, 6 (1995), pp. 178-180
[15]
B.N. Laerum, C. Svanes, T. Wentzel-Larsen, A. Gulsvik, K. Torén, E. Norman, et al.
Young maternal age at delivery is associated with asthma in adult offspring.
Respir Med, 101 (2011), pp. 1431-1438
[16]
K.C. Lodrup-Carlsen, S. Roll, K.H. Carlsen, P. Mowinckel, A.H. Wijga, B. Brunekreef, et al.
Does pet ownership in infancy lead to asthma or allergy at school age? Pooled analysis of individual participant data from 11 European birth cohorts.
[17]
S.M. Collin, R. Granell, C. Westgarth, J. Murray, E. Paul, J.A. Sterne, et al.
Pet ownership is associated with increased risk of non-atopic asthma and reduce risk of atopy in childhood: findings from a UK birth cohort.
Clin Exp Allergy, 45 (2015), pp. 200-210
[18]
S. Hansen, N. Probst-Hensch, D. Keidel, J. Dratva, R. Bettschart, M. Pons, et al.
Gender differences in adult-onset asthma: results from the Swiss SAPALDIA cohort study.
Eur Respir J, 46 (2015), pp. 1011-1020
[19]
A. Lopez-Silvarrey-Varela, S. Pértega-Díaz, S. Rueda-Esteban, J.M. Sánchez-Lastres, M.A. San-José-González, M. Sampedro-Campos, et al.
Prevalence and geographic variations in asthma symptoms in children and adolescents in Galicia (Spain).
Arch Bronconeumol, 47 (2011), pp. 274-282
[20]
M. Fernandez-Benitez, J. Anton, F. Guillén Grima.
Risk factors associated to the prevalence of asthma in adolescence. Pamplona, Spain.
Allergol et Immunopathol, 35 (2007), pp. 193-196
[21]
R.M. Chasm, Y.V. Pei, D.J. Pallin, N. Shapiro, B. Snyder, A.F. Sullivan, et al.
Sex differences in risk of hospitalization among emergency department patients with acute asthma.
Ann Allergy Asthma Immunol, 115 (2015), pp. 70-72
[22]
J.A. Kynyk, J.G. Mastronarde, J.W. McCallister.
Asthma, the sex difference.
Curr Opin Pulm Med, 17 (2011), pp. 6-11
[23]
S. Farha, K. Asosingh, D. Laskowski, J. Hammel, R.A. Dweik, H.P. Wiedemann, et al.
Effects of the menstrual cycle on lung function variables in women with asthma.
Am J Respir Crit Care Med, 180 (2009), pp. 304-310
[24]
W. Cookson, M. Moffatt, D.P. Strachan.
Genetic risks and childhood-onset asthma.
J Allergy Clin Immunol, 128 (2011), pp. 266-270
[25]
K. Yuryeva, I. Saltykova, L. Ogorodova, N. Kirillova, E. Kulikov, E. Korotkaya, et al.
Expression of adenosine receptors in monocytes from patients with bronchial asthma.
Biochem Biophys Res Commun, 464 (2015), pp. 1314-1320
[26]
A. Ebrahimi, E. Sadroddiny.
MicroRNAs in lung diseases: recent findings and their pathophysiological implications.
Pulm Pharmacol Ther, 34 (2015), pp. 55-63
[27]
J. Lotvall, L. Ekerljung, E.P. Rönmark, G. Wennergren, A. Lindén, E. Rönmark, et al.
West Sweden Asthma Study: prevalence trends over the last 18 years argues no recent increase in asthma.
Respir Res, 12 (2009), pp. 94
[28]
J. Corren.
Asthma phenotypes and endotypes: an evolving paradigm for classification.
Discov Med, 15 (2013), pp. 243-249
[29]
C. Mata-Fernández, M. Fernández-Benítez, M. Pérez-Miranda, F. Guillén-Grimá.
Validate of the Spanish version of phase III ISAAC questionnaire on asthma.
J Investig Allergol Clin Immunol, 15 (2005), pp. 201-210
[30]
R.J. Bertelsen, A.L. Brantsaeter, M.C. Magnus, M. Haugen, R. Myhre, B. Jacobsson, et al.
Probiotic milk consumption in pregnancy and infancy and subsequent childhood allergic diseases.
J Allergy Clin Immunol, 133 (2014), pp. 165-171
[31]
B. Jacquemin, V. Siroux, M. Sanchez, A.E. Carsin, T. Schikowski, M. Adam, et al.
Ambient air pollution and adult asthma incidence in six European cohorts (ESCAPE).
Environ Health Perspect, 123 (2015), pp. 613-621
[32]
E.M. Hollams, S.M. Teo, M. Kusel, K.E. Holt, M. Inouye, N.H. De Klerk, et al.
Vitamin D over the first decade and susceptibility to childhood allergy and asthma.
J Allergy Clin Immunol, 139 (2017), pp. 472-481
[33]
L. Owens, I. Laing, G. Zhang, Le Souëf.
Infant lung function predicts asthma persistence and remission in young adults.
Respirology, 22 (2017), pp. 289-294
[34]
G.M. Brożek, M. Farnik, J. Lawson, J.E. Zejda.
Underdiagnosis of childhood asthma: a comparison of survey estimates to clinical evaluation.
Int J Occup Med Environ Health, 26 (2013), pp. 900-909
[35]
C.P. Van Schayck, F.M. van Der Heijden, G. van Den Boom, P.R. Tirimanna, C.L. van Herwaarden.
Underdiagnosis of asthma: is the doctor or the patient to blame? The DIMCA project.
Thorax, 55 (2000), pp. 562-565
[36]
H.C. Siersted, J. Boldsen, H.S. Hansen, G. Mostgaard, N. Hyldebrandt.
Population based study of risk factors for underdiagnosis of asthma in adolescence: Odense schoolchild study.
BMJ, 316 (1998), pp. 651-655
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