Buscar en
Allergologia et Immunopathologia
Toda la web
Inicio Allergologia et Immunopathologia Changes in the prevalence of asthma and related risk factors in adolescents: Thr...
Journal Information
Vol. 47. Issue 4.
Pages 313-321 (July - August 2019)
Download PDF
More article options
Vol. 47. Issue 4.
Pages 313-321 (July - August 2019)
Original Article
DOI: 10.1016/j.aller.2018.10.001
Full text access
Changes in the prevalence of asthma and related risk factors in adolescents: Three surveys between 1994 and 2015
J. Mallola,
Corresponding author

Corresponding author.
, V. Aguirrea, M. Mallol-Simmondsb, A. Matamala- Bezmalinovicc, L. Calderón-Rodriguezd, F. Osses-Vergarae
a Department of Pediatric Respiratory Medicine, Hospital El Pino, University of Santiago de Chile (USACH), Chile
b Hospital Barros Luco Trudeau, Santiago, Chile
c Hospital de Chaitén, Chaitén, Chile
d Hospital de San José de la Mariquina, Valdivia, Chile
e Hospital Del Salvador, Santiago, Chile
Article information
Full Text
Download PDF
Figures (2)
Tables (2)
Table 1. Trend for cumulative (ever) and current (last 12 months) prevalence of asthma symptoms in Chilean adolescents aged 13–14 years between 1994 and 2015.
Table 2. Comparative prevalence (%) of frequent intake (≥3 times a week) of dietary products and other environmental variables between 2002 and 2015.
Show moreShow less

This study assesses the temporal trend of current asthma symptoms prevalence and associated factors in Chilean adolescents from South-Santiago, considering surveys performed in 1994, 2002 and 2015.


The prevalence of current asthma symptoms showed a trend to increase from 11.1% in 1994 to 13.4% in 2015 (p<0.001); physician-diagnosed asthma increased from 11.5% to 13.8%, (p<0.001) whereas severe asthma and asthma with exercise decreased (p<0.001). Female adolescents had a higher prevalence of current asthma in the three surveys (p<0.001), and was a risk factor for asthma in the three surveys. In 2002, frequent consumption of meat and potatoes were associated with current asthma while frequent vigorous exercise was protective. Frequent exercise and parental tobacco smoking were risk for asthma in 2015 (p<0.001). Current active tobacco smoking showed a trend to increase reaching a prevalence of 28.9% in 2015 (p<0.001). There was a consistently low proportion of adolescents with current wheezing and asthma diagnosis (32.1% in 2015) and 37.6% of them had no asthma treatment.


The prevalence of current asthma in adolescents from the studied area would be still increasing. As in other studies, female adolescents had a higher prevalence of current asthma. Current active tobacco smoking has strikingly increased in the studied children while indoor passive tobacco exposure remains inadmissibly high. Our findings suggest that asthma in children is underdiagnosed and undertreated. More attention should be given to female gender, tobacco exposure, air pollution and local diagnostic preferences when studying and interpreting trends of asthma prevalence in adolescents from developing localities.

Full Text

Asthma in childhood causes a large health impact, with huge expenses in medical consultations and medications, and with an important impairment of the quality of life of patients and their families.1,2 The temporal trend of asthma prevalence in childhood from different regions of the world has been reported by the International Study of Asthma and Allergies in Childhood (ISAAC) comparing data obtained in Phase I (1994) and Phase III (2002) and showed an overall stabilization of prevalence and severity in affluent regions and an increase in developing ones.3–5 However, the direction of changes in the prevalence (toward a stabilization, decrease, or increase) showed considerable variation among regions, countries and localities in a same country4–6; that pattern of prevalence changes occurred independently of socioeconomic development status. In Latin America, there was a slight average increase in the prevalence of asthma symptoms between 1994 and 2002 but similarly to other regions of the world, several of its centers exhibited diverse directions in the changes of asthma prevalence.

Recent information on the temporal trend of asthma prevalence and severity in Latin American children since the last ISAAC survey is little and referred to one study in Brazil7 where authors demonstrated that the trend in the prevalence and severity of current asthma symptoms in children between 1994 and 2012 was variable among participating centers. Since then, and to the best of our knowledge, there have been no studies performed in other countries of this region using the ISAAC methodology to evaluate the temporal trend of asthma prevalence and severity in children, or in the changes of associated risk/protective factors for asthma.

This study was undertaken to assess the changes in prevalence and severity of asthma symptoms in adolescents aged 13–14 years obtained from three repeated surveys (1994, 2002 and 2015), performed at the same ISAAC official center (South Santiago) and using ISAAC methodology. The ISAAC environmental questionnaire (EQ)3 which was applied in 2002 and 2015 surveys was used to assess eventual changes in risk/protective factors for current asthma symptoms in that period.


The present study (2015) comprises data from children aged 13–14 years and strictly followed the same methodology applied in this official ISAAC center for phases I (1994) and III (2002) in South Santiago, a low-resourced area of Santiago de Chile.

ISAAC is a well-known multi-continental program that surveyed asthma and allergies in childhood reporting prevalence, severity, risk and protective factors and assessing the temporal changes occurred between its phases I, II and III all over the world. It uses a cross-sectional design, with random samples of two age groups of school children, 13–14 years old and 6–7 years old. A comprehensive description of rationale, methodology, participating centers, registration, sampling frame, sample sizes, selection of subjects, manuals, questionnaires, and related publications, can be found at the ISAAC web site.3 The questions used by ISAAC to estimate the prevalence of asthma symptoms were: (a) wheezing ever; (b) asthma ever; (c) current symptoms of asthma defined as wheezing or whistling in the chest in the past 12 months, severe asthma episodes (wheezing affecting speech), asthma symptoms with exercise, and sleep disturbance due nocturnal dry cough. In 2015 we added the question “Have you or your parents ever been told by a doctor that you have asthma? to explore the concordance with the question used by ISAAC “Have you ever had asthma?” which is often used as surrogate of physician-diagnosed asthma5,7; we also added questions on the use of inhaled asthma medication as “Have you ever used inhaled medication for asthma (puffs)?” and “Have you used inhaled medication for asthma (puffs) in the last 12 months?”. In this study we have used the ISAAC question on “asthma ever” as surrogate of physician-diagnosed asthma and “wheezing in the last 12 months” as current asthma.

The prevalence was calculated dividing the number of positive responses to each question by the number of completed questionnaires and expressed as percentage. The three studies, ISAAC phases I, III, and the present one, were approved by the Chilean Ministry of Health's Ethical Committee and full-informed signed consent for participation was obtained from parents or guardians.

Data analysis

Descriptive statistics were employed for comparison of proportions among the three surveys and chi-square test for trend was used to calculate the direction and significance of changes (to an increase, decrease, or no change), from 1994 to 2015. Because the 2002 and 2015 surveys included the ISAAC EQ, multivariate logistic regression analysis, adjusted by gender, maternal tertiary education and current tobacco smoking, was used to examine associations between current asthma symptoms and factors as frequent (≥times per week) consumption of some dietary products (meat, vegetables, fruits, fast-food, among others); pets at home, frequent vigorous exercise (≥times per week), three or more hours a day spent watching television. Current asthma (wheezing in the last 12 months) was employed as dependent variable because we have shown that it correlates well with bronchial hyperresponsiveness to methacholine in adolescents.8 Proportions of frequent consumption of dietary products, active and passive tobacco exposures, pets at home, maternal tertiary education, among others, reported in 2002 and 2015 were compared using chi-square test. Concordance between the questions “Have you ever had asthma?”, “Have you or your parents ever been told by a doctor that you have asthma?”, as those on ever and current use of inhaled asthma medications was estimated using the inter-rater agreement test (kappa). MedCalc Statistical Software version 18.5, Ostend, Belgium, was employed for the analysis.


There were 8858 questionnaires for analysis: 3051, 3057 and 2750 collected in 1994, 2002 and 2015, respectively. The response rates for the three studies were 86.2%, 84.8%, and 81.9%. The proportion of girls was significantly higher than boys in 1994 (53.2%, p<0.01) and 2002 (57.8%, p<0.01), but not in the 2015 survey (50.9%, p=0.35).

Prevalence and trends

The prevalence and trend of asthma symptoms in the 21-year time span is in Table 1. Current asthma and physician-diagnosed asthma (asthma ever) showed a significant trend to increase whereas wheezing ever, current severe episodes of wheezing and exercise-induced wheezing had a significant trend to decrease. Girls had a significantly higher prevalence of asthma symptoms than boys in the three surveys (p<0.001) (Fig. 1) and female gender was a significant risk for current asthma in 1994 (OR 1.25; 95%CI 1.14–1.36), 2002 (OR 1.61; 95%CI 1.19–2.189 and 2015 (OR 1.71; 95%CI 1.25–2.33), (p<0.001). The prevalence of adolescents with current wheezing who had an asthma diagnosis was similar in 1994 (33.1%; 95%CI 28.3–38.3), 2002 (34.6%; 95%CI 30.0–38.1) and 2015 (32.1%; 95%CI 27.6–37.1); with a non-significant trend (p=0.77). Regarding the use of inhaled asthma medications which was only assessed in 2015, 62.4% of adolescents with current asthma symptoms and diagnosis of asthma had used inhaled asthma medication in the last 12 months. Among children with current asthma symptoms the use of inhaled asthma medications was 26.9% (95%CI 22.6–31.6), and 29.8% (19.5–42.7) in those who had four or more wheezing episodes. There was a very good agreement between the question “Have you ever had asthma?” (ISAAC) and “Have you or your parents ever been told by a doctor that you have asthma?” (kappa 0.83, p<0.0001).

Table 1.

Trend for cumulative (ever) and current (last 12 months) prevalence of asthma symptoms in Chilean adolescents aged 13–14 years between 1994 and 2015.

  ISAAC 1994, n=3051%  ISAAC 2002, n=3057%  ISAAC 2015, n=2736%  Trend* 
Wheezing ever  27.83  40.50  27.4  p=0.761 
Asthma ever  11.50  15.11  13.8  ↑, p=0.003 
Current symptoms (last 12 months)
Wheezing  11.11  16.60  13.4  ↑, p<0.001 
Severe wheezing  4.88  5.06  3.1  ↓, p<0.001 
Wheezing with exercise  25.34  20.97  16.8  ↓, p<0.001 
Dry cough at night  32.78  40.83  33.1  p=0.70 

Chi-square linear trend ↑=increase; ↓=decrease.

Figure 1.

Prevalence (%) of asthma symptoms by gender in Chilean adolescents in three surveys (1994, 2002, and 2015).

Changes in the proportions of positive responses in EQ between 2002 and 2015

The changes occurred in the proportion of children who responded the EQ in 2002 and 2015 are in Table 2. There was a significant trend to the increase in the proportion of children who reported current tobacco smoking (16.2% in 1994, 21.8% in 2002 and 28.9% in 2015, p<0.0001) and the trend of intra-domiciliary tobacco prevalence decreased between 1994 and 2015 (67.3% in 1994, 70% in 2002 and 63.5% in 2015; p<0.004). There was a significant increase in the frequent consumption of meat between 2002 and 2015 while there was a significant decrease in frequent consumption of fruits, potatoes, butter/margarine, TV watching three or more hours a day; tertiary maternal education remained about 22%. In 2015 we asked for frequent use of mobile phone/internet and 60.8% of the adolescents responded they spent three or more hours a day using their mobile phones.

Table 2.

Comparative prevalence (%) of frequent intake (≥3 times a week) of dietary products and other environmental variables between 2002 and 2015.

Variable2002  2015  p Value
% (95%CI)  % (95%CI) 
Cereal  66.1 (64.4–67.8)  67.2 (65.4–68.9)  0.60 
Eggs  22.8 (21.3–24.3)  22.8 (21.2–24.4)  0.47 
Fast foods  18.6 (17.2–20.0)  18.0 (16.6–19.5)  0.34 
Fruits  69.4 (67.8–71.0)  58.6 (56.7–60.4)  0.001 
Margarine  24.9 (23.4–26.5)  14.8 (13.5–16.2)  0.001 
Butter  27.1 (25.5–28.7)  18.3 (16.9–19.8)  0.001 
Meat  29.1 (27.5–30.8)  37.0 (35.1–38.7)  0.001 
Milk  54.3 (52.6–56.1)  54.4 (52.5–56.3)  0.69 
Nuts  5.6 (4.8–6.5)  5.9 (5.1–6.9)  0.76 
Pasta  27.1 (25.5–28.7)  30.7 (29.0–32.4)  0.11 
Potato  30.5 (28.9–32.2)  22.5 (21.0–24.1)  0.001 
Pulses  8.5 (7.5–9.5)  8.6 (7.6–9.7)  0.97 
Rice  29.9 (28.3–31.6)  29.3 (27.6–31.0)  0.79 
Seafoods  3.2 (2.6–3.9)  3.2 (2.6–3.9)  0.98 
Vegetables  54.2 (52.4–56.0)  52.4 (50.5–54.3)  0.30 
Vigorous exercise (≥3 times/week)  33.3 (31.7–35.0)  34.0 (32.2–35.8)  0.75 
Hours spent watching TV (≥3h/day)  56.5 (54.7–58.2)  43.3 (41.4–45.1)  0.001 
Cellphone (≥3h/day), just in 2015 survey  –  60.8 (59.0–62.7)   
Current tobacco smoking  21.8 (20.3–23.3)  28.9 (27.2–30.6)  0.002 
Mother current tobacco smoker  41.2 (39.5–43.0)  40.2 (38.3–42.0)  0.62 
Father current tobacco smoker  43.2 (41.4–45.0)  39.3 (37.5–41.1)  0.06 
Either parent smoke tobacco (mother or father)  56.8 (55.0–58.5)  54.0 (52.1–55.8)  0.11 
Intra-domiciliary tobacco exposure  69.3 (67.6–70.4)  63.5 (61.8–65.4)  0.0001 
Dog at home now  70.0 (68.3–71.6)  70.4 (68.7–72.1)  0.78 
Cat at home now  38.8 (37.2–40.7)  34.8 (33.1–36.7)  0.057 
Pets  78.3 (76.8–79.7)  77.5 (75.9–79.0)  0.52 
Maternal tertiary education  22.2 (20.1–24.4)  22.3 (20.7–23.9)  0.97 
Risk/protective factor in 2002 and 2015

The variables significantly associated with a higher risk for current asthma in 2002 were frequent consumption of meat (OR 1.56; 95%CI 1.12–2.18, p=0.006), potatoes (OR 1.43; 95%CI 1.03–1.98, p=0.031) and female gender (OR 1.61; 95%CI 1.19–2.18, p=0.002) whereas frequent vigorous exercise was protective (OR 0.49; 95%CI 0.26–0.93, p=0.03). In 2015 the significant associations with current asthma were: female gender (OR 1.71; 95%CI 1.25–2.33, p=0.001), parental current smoking (OR 1.46; 95% CI 1.09–1.97, p=0.013), and frequent vigorous exercise (OR 1.44; 95%CI 1.04–2.00, p=0.027), Fig. 2.

Figure 2.

(A and B) Forest plots for associations found between current asthma symptoms and different variables in the surveys performed in the years 2002 and 2015.

DiscussionChanges in prevalence

This study shows an overall increasing trend in the prevalence of reported current asthma and physician-diagnosed asthma while the current prevalence of severe asthma episodes and exercise-induced asthma decreased from 1994 to 2015. Noticeably, the prevalence of current asthma and physician-diagnosed asthma markedly increased between 1994 and 2002 but show a decrease between 2002 and 2015; although the trend considering the 21 years was still to increase, this finding might suggest that asthma prevalence is stabilizing in the adolescents from the studied area.

In Brazil, Solé et al.,7 in a study comparing the prevalence of asthma in children found in 1994, 2003 and 2012 in three ISAAC centers which participated in phases I and III, found that current asthma symptoms remained without significant changes in Curitiba and Recife, but showed a trend to decrease in Sao Paulo. However, the prevalence of physician-diagnosed asthma increased in the three cities, suggesting that a growing number of children who reported current wheezing would be diagnosed as asthma at those centers. The same explanation would apply for the findings of Brozek et al.,9 in a study performed in Poland in 1993, 2002, 2007 and 2014, in schoolchildren and those authors found a significant increase in the prevalence of physician-diagnosed asthma from 3.4% in 1993 to 12.6% in 2014, but not in the prevalence of current wheezing, which remained around 20% in the four surveys. A similar increase was found in Norway where the prevalence of asthma in schoolchildren went from 7.3% in 1985 to 16.6% in 2008.10 Longitudinal studies in other developed countries (UK) found a decrease in the prevalence of current wheeze between 2001 and 2012, from 18.9% to 15.0%.11 In USA, Akinbami et al.,12 using 2001–2013 National Health Interview Survey data, reported that asthma prevalence ceased to increase by 2013; however, there was an increase in asthma prevalence in children among 10–17-year-olds, poor children and those living in the South of the country. Recently, Zahran et al.13 using the same data from the National Health Interview Survey up to 2016, reported a further decrease of asthma prevalence in US children from 9.4% in 2010 to 8.3% in 2016, excepting for Mexican/Mexican-American children in whom asthma prevalence increased from 5.1% in 2001 to 6.5% in 2016. Thus, evidence from studies performed after ISAAC III in 2001–2002 suggests there is a non-uniform trend in the prevalence of asthma symptoms with some populations of children showing an increase, stabilization, or decrease. The observed variation in temporal trend among localities, is likely related with local environmental changes of climate, socioeconomic status, education, among others, occurred through the observational time. In addition, local physicians’ diagnostic preferences could also play a role influencing the prevalence of asthma (label) by establishing the diagnosis of asthma in patients suffering from asthma symptoms, which certainly has implications for proper asthma treatment. The present study showed a low prevalence of adolescents with current asthma symptoms who had a physician-diagnosis of asthma in the three surveys, which would reflect an under-diagnosis of asthma but also an undertreatment of the condition. The latter is evidenced because 38.6% of them did not receive inhaled asthma medication, even when those medications (bronchodilators and corticosteroids) are fully available and for free, at the primary care centers of the surveyed area. Our findings agree with those from international studies that show underestimation and undertreatment of asthma in adolescents.14

Risk/protective factors

The information on the temporal changes of risk factors for childhood asthma occurred in a same area is scarce. Recently, Barnish et al.15 in Aberdeen, Scotland, surveyed schoolchildren on seven occasions between 1964 and 2014 and found changes in the association of determined risk factors with asthma prevalence in that period, which were mainly related, but not always, to gender, deprivation, parental asthma, and tobacco smoke exposure. We found few factors associated with current asthma in 2002 and 2015, and the only factor consistently associated with higher asthma prevalence in both surveys was female gender, which agrees with other studies reporting that female gender is a risk for development of asthma in adolescence.16 Although several potential explanations have been explored for the higher prevalence of asthma in adolescent girls, the knowledge regarding gender-related functional, environmental and hormonal aspects, among others, remains uncomplete.17–20 In 2002 frequent intake of meat and potatoes was associated with current asthma whereas frequent vigorous exercise protected against asthma; also, in 2015 there was no risk/protective association of dietary product with current asthma, but parental tobacco smoking and frequent vigorous exercise were risk factors for asthma. The finding that frequent vigorous exercise was a protective factor in 2002 and a risk factor in 2015 is difficult to explain because the similar proportion of adolescents reporting frequent exercise in 2015. The latter is concordant with the high number of hours per day spent in sedentary time (TV watching and cellphone-internet use) as reported by our adolescents in 2015, showing that sedentary behavior is likely replacing vigorous physical activity in adolescents, as reported by other authors21; furthermore; sedentarism is associated to obesity which is a well-known risk for developing asthma and severe asthma in childhood.22 An additional point for the positive association found between frequent vigorous physical activity and asthma in 2015 might be related with the high outdoor air pollution occurred in Santiago, declared as a saturated particulate matter 2.5μm zone in 2014.23 The deleterious effect of high air pollution on respiratory health, particularly during physical activity is well-known and that is why vigorous exercising is not recommended in days of high atmospheric pollution; in asthmatics children, outdoor pollution is related with persistence and exacerbations of asthma symptoms.24

The associations between the type and consumption frequency of dietary products and current asthma symptoms in childhood is not well-defined at present and findings from different studies are sometimes contradictory.25,26 Ellwood et al.27 in a large international study at global scale, found that frequent consumption of fruits and vegetables was protective for current and severe asthma in adolescents; and conversely, frequent consumption of fast food (≥3 times per week) was a risk for asthma. Nevertheless, this is not a consistent finding and Wickens et al.28 found no protective effect for fruits or vegetables but reported that hamburgers and take-away foods consumption was associated with asthma symptoms and increased airway responsiveness in children. Thus, the interpretation of the associations found between the frequency of consumption and type of dietary products with asthma symptoms, airway responsiveness or body mass index should be cautious; for instance, in a recent analysis of ISAAC III data, Braithwaite et al.29 found that frequent and very frequent intake of fast-foods was related with a lower body mass index in adolescents, although other studies have reported the contrary.30 We found no risk for frequent consumption of fast foods and no protective effect against asthma for fruits or vegetables; although the proportion of adolescents who reported frequent intake of fruits decreased in 2015, it still was high (around 59%). Noticeably, frequent consumption of sea-foods was remarkable low (about 3%) in both surveys, probably because they are expensive products in this country, as compared with frequent consumption of fast foods that remained similar between 2002 and 2015, 19% and 18%, respectively. The type of diet, as well as the frequency of some dietary product consumption has been related to asthma prevalence, either as risk or protective factors, as occurs with Western diet (pro-inflammatory effects) versus Mediterranean diet (anti-inflammatory effects).25,26,31,32 However, at present it appears as unrealistic to categorize the reported frequency of food consumption because the wide diversity of food types and cooking styles available everywhere which are low-cost, “fashionable” and easily accessed by adolescents, even by those from low-resourced populations. These complexities should be considered when interpreting the effects of diet and other ecological factors on the prevalence and severity of asthma in children. The possible mechanisms to explain the relationship between diet and asthma are not fully understood, but the available evidence would indicate that increasing the consumption of fruits and vegetables is healthy and could reduce the risk of asthma and other diseases, whereas fast foods could increase the risk, particularly in children.25–32

Apart from diet, there are several other factors that have been found to be associated with asthma32; among them, outdoor air pollution24 and tobacco exposure (passive or active) which is one of the most harmful for children.33 The present study found an increasing trend in the prevalence of adolescents reporting current active tobacco smoking from 16.2% in 1994, to 17.5% in 2002 and to 28.9% in 2015. Recently, Urrutia-Pereira et al.34 in Brazil, found that 29.3% of adolescents have tried tobacco smoking, 14.5% started smoking before 12 years of age and 13.0% smoked at least one cigarette per day in the previous month. In a cross-sectional study performed in the same locality as the present study, we found that about 25% of current symptoms of asthma in adolescents could be explained by active tobacco smoking, with a predominance of smoking girls.35 In a prospective cohort study of Canadian adolescents, female gender and exposure to passive smoking was associated with the development of asthma16; which agrees with our findings from 2015 survey, where female gender and parental tobacco smoking were positively associated with asthma symptoms. Tobacco smoking in adolescent females is worrying because it is a known risk for continuing smoking in adulthood and smoking during pregnancy, with all the well-known deleterious effects for mother and child.36,37


This study has several limitations which are inherent to its cross-sectional design which do not allow for concluding on causality; however, they are good for determining prevalence and temporal trends of asthma and other allergies in populations (adolescents) living at same area. Another limitation is that adolescents could not be fully aware on their symptoms or about the food type and frequency of consumption, introducing a recall bias and limiting interpretations. However, it is likely that they can better recall frequent consumption of some types of food than moderate or infrequent intake per week. The interpretation of these findings could also be limited by several other confounders that were not assessed in the study, such as those related with changes at individual and country socioeconomic status and life style. According to UN Development Report 2016,38 Chile's Human Development Index and GNI had an important increase between 1994 and 2015. It is likely that our study illustrates changes related with an improvement in some socioeconomic aspects of low-resourced populations as that from this study, which may affect the conventional relationship between asthma and socioeconomic level. This could alter adolescents’ life-style in countries with transitional economies allowing them for an easier access to a high variety of non-healthy and processed foods, tobacco cigarettes, alcoholic beverages, among others, while other environmental factors such as poor housing and living conditions, high indoor and outdoor air pollution, high active and passive tobacco exposure, among others, persist inadmissibly high. This would be reflected by the high percentage of our unprivileged children (about 60%) that owned smartphones in 2015, as compared with well-resourced countries as Spain where about 90% of adolescents owned a smartphone by 2015.39 The decrease we found in TV-watching hours per day may be indicating a change in adolescents’ preferences toward spending more time using their smart phones.


In the last 21 years the prevalence of asthma in adolescents still shows an overall trend to increase; however, it could be ceasing as supported by the decrease observed between 2002 and 2015; female gender was consistently associated with current asthma in the three surveys. Parental tobacco smoking was associated to current asthma; overall, active and passive exposure to tobacco, remained unacceptably high in this group of adolescents. Additionally, our study suggests that asthma could be underdiagnosed and undertreated in the studied population. More attention should be given to female gender, outdoor pollution (smog) and active and passive tobacco exposure and to local diagnosis and treatment preferences when studying and interpreting changes in the prevalence of asthma and associated factors in adolescents from unprivileged localities in developing countries with a transition economy.

Conflict of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

Ethical disclosuresConfidentiality of data

The authors declare that no patient data appear in this manuscript.

Right to privacy and informed consent

The authors declare that no patient data appear in this manuscript.

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.

Author contributions

All authors participated in the conception and design of the study; collection, analysis, and interpretation of the data; drafting and revision of the manuscript; and approval of final version of the manuscript.


No funding was granted for this study.


The authors thank to the children and parents who participated in the study and the valuable collaboration provided by Dr. Alfredo Alfaro and Dr. Gonzalo Espinoza. We express our special thanks to the directors and teachers of the participating schools.

The Global Asthma Report 2014. www.globalasthmareport.org (last accessed on August 2018).
WHO Chronic Respiratory Diseases, Asthma. http://www.who.int/respiratory/asthma/en/ (last accessed on August 2018).
International Study of Asthma and Allergies in Childhood (ISAAC). http://isaac.auckland.ac.nz (last accessed on April 2018).
M.I. Asher, S. Montefort, B. Björkstén, C.K. Lai, D.P. Strachan, S.K. Weiland, et al.
Worldwide time trends in the prevalence of symptoms of asthma, allergic rhinoconjunctivitis, and eczema in childhood: ISAAC Phases One and Three repeat multicountry cross-sectional surveys.
N. Pearce, N. Aït-Khaled, R. Beasley, J. Mallol, U. Keil, E. Mitchell, et al.
Worldwide trends in the prevalence of asthma symptoms: phase III of the International Study of Asthma and Allergies in Childhood (ISAAC).
Thorax, 62 (2007), pp. 758-766
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
D. Solé, N. Rosário Filho, E.C. Sarinho, A.R. Silva, M. Britto, C. Riedi, et al.
Prevalence of asthma and related symptoms in adolescents: findings from 3 surveys.
J Investig Allergol Clin Immunol, 25 (2015), pp. 73-74
J. Mallol, J.A. Castro-Rodriguez, E. Cortez, V. Aguirre, P. Aguilar, L. Barrueto.
Heightened bronchial hyperresponsiveness in the absence of heightened atopy in children with current wheezing and low-income status.
Thorax, 63 (2008), pp. 167-171
G. Brozek, J. Lawson, D. Szumilas, J. Zejda.
Increasing prevalence of asthma, respiratory symptoms, and allergic diseases: four repeated surveys from 1993–2014.
Respir Med, 109 (2015), pp. 982-990
T.E. Hansen, B. Evjenth, J. Holt.
Increasing prevalence of asthma, allergic rhinoconjunctivitis and eczema among schoolchildren: three surveys during the period 1985–2008.
Acta Paediatr, 102 (2013), pp. 47-52
V.K. Patil, R.J. Kurukulaaratchy, C. Venter, J. Grundy, G. Roberts, T. Dean, et al.
Changing prevalence of wheeze, rhinitis and allergic sensitisation in late childhood: findings from 2 Isle of Wight birth cohorts 12 years apart.
Clin Exp Allergy, 45 (2015), pp. 1430-1438
L.J. Akinbami, A.E. Simon, L.M. Rossen.
Changing trends in asthma prevalence among children.
H.S. Zahran, C.M. Bailey, S.A. Damon, P.L. Garbe, P.N. Breysse.
Vital signs: asthma in children – United States, 2001–2016.
Morb Mortal Wkly Rep, 67 (2018), pp. 149-155
J.A. Lawson, G. Brozek, A. Shpakou, O. Fedortsiv, E. Vlaski, V. Beridze, et al.
An international comparison of asthma, wheeze, and breathing medication use among children.
Respir Med, 133 (2017), pp. 22-28
M.S. Barnish, N. Tagiyeva, G. Devereux, L. Aucott, S. Turner.
Changes in the relationship between asthma and associated risk factors over fifty years.
Pediatr Allergy Immunol, 28 (2017), pp. 162-169
J.A. Lawson, I. Janssen, M.W. Bruner, A. Hossain, W. Pickett.
Asthma incidence and risk factors in a national longitudinal sample of adolescent Canadians: a prospective cohort study.
BMC Pulm Med, 14 (2014), pp. 51
C. Almqvist, M. Worm, B. Leynaert, Working Group of GA2LEN WP 2.5 Gender.
Impact of gender on asthma in childhood and adolescence: a GA2LEN review.
B. Leynaert, J. Sunyer, R. Garcia-Esteban, C. Svanes, D. Jarvis, et al.
Gender differences in prevalence, diagnosis and incidence of allergic and non-allergic asthma: a population-based cohort.
M.D. DeBoer, B.R. Phillips, D.T. Mauger, J. Zein, S.C. Erzurum, et al.
Effects of endogenous sex hormones on lung function and symptom control in adolescents with asthma.
BMC Pulm Med, 18 (2018), pp. 58
N.M. Vink, D.S. Postma, J.P. Schouten, J.G. Rosmalen, H.M. Boezen.
Gender differences in asthma development and remission during transition through puberty: the TRacking Adolescents’ Individual Lives Survey (TRAILS) study.
J Allergy Clin Immunol, 126 (2010), pp. 498-504
L. Arundell, E. Fletcher, J. Salmon, J. Veitch, T. Hinkley.
A systematic review of the prevalence of sedentary behavior during the after-school period among children aged 5–18 years.
Int J Behav Nutr Phys Act, 13 (2016), pp. 93
M.H. Black, H. Zhou, M. Takayanagi, S.J. Jacobsen, C. Koebnick.
Increased asthma risk and asthma-related health care complications associated with childhood obesity.
Am J Epidemiol, 178 (2013), pp. 1120-1128
Plan for Prevention and Atmospheric Decontamination (PPDA) for Santiago de Chile. Ministry of the Environment, Chile. http://airesantiago.gob.cl/balance-1997-2017/ (last accessed on August 2018).
L. Tzivian.
Outdoor air pollution and asthma in children.
J Asthma, 48 (2011), pp. 470-481
L. Guilleminault, E.J. Williams, H.A. Scott, B.S. Berthon, M. Jensen, L.G. Wood.
Diet and asthma: is it time to adapt our message?.
N. Lv, L. Xiao, J. Ma.
Dietary pattern and asthma: a systematic review and meta-analysis.
J Asthma Allergy, 7 (2014), pp. 105-121
P. Ellwood, M.I. Asher, L. García-Marcos, H. Williams, U. Keil, C. Robertson, et al.
Do fast foods cause asthma, rhinoconjunctivitis and eczema? Global findings from the International Study of Asthma and Allergies in Childhood (ISAAC) phase three.
K. Wickens, D. Barry, A. Friezema, R. Rhodius, N. Bone, G. Purdie, et al.
Fast foods – are they a risk factor for asthma?.
I. Braithwaite, A.W. Stewart, R.J. Hancox, R. Beasley, R. Murphy, E.A. Mitchell, et al.
Fast-food consumption and body mass index in children and adolescents: an international cross-sectional study.
C.A. Borges, D.M.L. Marchioni, R.B. Levy, B. Slater.
Dietary patterns associated with overweight among Brazilian adolescents.
Appetite, 123 (2018), pp. 402-409
L. Garcia-Marcos.
Mediterranean diet as a protection against asthma: still another brick in building a causative association.
Allergol Immunopathol (Madr), 44 (2016), pp. 97-98
R. Beasley, A. Semprini, E.A. Mitchell.
Risk factors for asthma: is prevention possible?.
Lancet, 386 (2015), pp. 1075-1085
L. Garcia-Marcos, M. Sanchez-Solis.
Tobacco smoke: it is time for pediatricians to feel directly concerned.
J Pediatr (Rio J), 93 (2017), pp. 211-213
M. Urrutia-Pereira, V.J. Oliano, C.S. Aranda, J. Mallol, D. Solé.
Prevalence and factors associated with smoking among adolescents.
J Pediatr (Rio J), 93 (2017), pp. 230-237
J. Mallol, J.A. Castro-Rodriguez, E. Cortez.
Effects of active tobacco smoking on the prevalence of asthma-like symptoms in adolescents.
Int J Chron Obstruct Pulmon Dis, 2 (2007), pp. 65-69
S.A. Khuder, H.H. Dayal, A.B. Mutgi.
Age at smoking onset and its effect on smoking cessation.
Addict Behav, 24 (1999), pp. 673-677
M. Mund, F. Louwen, D. Klingelhoefer, A. Gerber.
Smoking and pregnancy: a review on the first major environmental risk factor of the unborn.
Int J Environ Res Public Health, 10 (2013), pp. 6485-6499
United Nations Development Programme, Human Development Reports. http://hdr.undp.org/en/data (last accessed on August 2018).
Garmendia-Larrañaga M, Jiménez-Iglesias E, Miguel Ángel Casado MA, Giovanna Mascheroni G. Proyecto Net Children Go Mobile (2010–2015). https://www.ehu.eus/documents/1370232/0/Informe+NET+CHILDREN+RED.ES+Espa%C3%B1a+2016.pdf (last accessed May 2018).
Copyright © 2018. SEICAP
Article options
es en pt

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?

Você é um profissional de saúde habilitado a prescrever ou dispensar medicamentos

es en pt
Política de cookies Cookies policy Política de cookies
Utilizamos cookies propias y de terceros para mejorar nuestros servicios y mostrarle publicidad relacionada con sus preferencias mediante el análisis de sus hábitos de navegación. Si continua navegando, consideramos que acepta su uso. Puede cambiar la configuración u obtener más información aquí. To improve our services and products, we use "cookies" (own or third parties authorized) to show advertising related to client preferences through the analyses of navigation customer behavior. Continuing navigation will be considered as acceptance of this use. You can change the settings or obtain more information by clicking here. Utilizamos cookies próprios e de terceiros para melhorar nossos serviços e mostrar publicidade relacionada às suas preferências, analisando seus hábitos de navegação. Se continuar a navegar, consideramos que aceita o seu uso. Você pode alterar a configuração ou obter mais informações aqui.