Temporal evolution of and factors associated with asthma and wheezing in schoolchildren in Brazil

ABSTRACT

Objective:

To estimate the evolution of the prevalence of asthma and wheezing among schoolchildren in Brazil from 2012 to 2015, as well as to identify factors associated with both conditions.

Methods:

This was a cross-sectional study using data from the Brazilian National School-Based Adolescent Health Survey for 2012 and 2015. To characterize the evolution of the prevalence of asthma and wheezing, we used linear regression with weighted-least-squares estimation and presented the annual percent change (APC).

Results:

During the study period, there was a reduction in the prevalence of wheezing, from 23.2% in 2012 to 22.4% in 2015 (APC, −0.27). The prevalence of asthma increased from 12.4% in 2012 to 16.0% in 2015 (APC, 1.20). The increase in the prevalence of asthma was greatest in the southern region of the country (APC, 2.17). Having any history of smoking and having consumed alcohol in the last 30 days were factors that influenced the prevalence of wheezing and the prevalence of a self-reported diagnosis of asthma during the two years evaluated.

Conclusions:

There has been an increase in the prevalence of asthma in recent years in Brazil. Our data underscore the importance of improving health strategies and policies aimed at the control of asthma.

Keywords:
Asthma/epidemiology; Respiratory sounds; Students

RESUMO

Objetivo:

Estimar a evolução da prevalência de asma e sibilância em escolares brasileiros nos anos de 2012 e 2015, bem como verificar fatores associados a ambas.

Métodos:

Estudo transversal utilizando dados da Pesquisa Nacional de Saúde do Escolar nos anos de 2012 e 2015. Para verificar a evolução das prevalências de asma e sibilância foi utilizada a regressão linear ponderada pelos quadrados mínimos da variância e apresentada a variação percentual anual (VPA).

Resultados:

Foi encontrada uma redução da prevalência de sibilância (de 23,2% em 2012 para 22,4% em 2015; VPA: −0,27). A prevalência de asma aumentou de 12,4% em 2012 para 16,0% em 2015 (VPA: 1,20). O maior aumento na prevalência de asma ocorreu na região Sul do país (VPA: 2,17). Ter fumado alguma vez na vida e ter ingerido álcool nos últimos 30 dias foram fatores que influenciaram tanto na prevalência de sibilância quanto na prevalência de diagnóstico referido de asma nos dois anos da pesquisa.

Conclusões:

Este estudo evidenciou o aumento na prevalência de asma nos últimos anos. Esses dados ressaltam a importância de melhoria das estratégias e políticas de saúde voltadas para o controle da asma.

Descritores:
Asma/epidemiologia; Sons respiratórios; Estudantes

INTRODUCTION

Asthma is considered a chronic noncommunicable disease (CNCD) whose symptoms appear early in life in approximately half of the cases.¹ Its most common symptom is wheezing, which is caused by bronchospasms and airway obstruction.² Although episodes of cough, chest tightness, and wheezing, among others, are important for characterizing the condition, there are no rules as to whether or not these symptoms must be present for it to be considered asthma, which represents a diagnostic challenge.³⁾ The International Study of Asthma and Allergies in Childhood (ISAAC) reports a mean prevalence of asthma symptoms of 14.1% in adolescents aged 13 to 14 years worldwide, whereas in Latin American countries the rates are above 20%.⁴

In 1988, the prevalence of asthma in Brazil was already among the highest in the world,^5,6 and, apparently, these estimates continue to rise. The prevalence of asthma in children and adolescents evaluated between 1998 and 2008 increased from 8.6% (1998) to 9.1% (2008) for those living in urban areas, and from 4.9% to 5.9% for those living in rural areas.⁷ Therefore, it is important to identify the associated factors to gain a better understanding of the disease. These factors are related to environmental, social, and demographic conditions, as well as to lifestyle.⁸

Asthma can also have a negative impact on quality of life, because it results in direct and indirect costs to the population in the form of medical appointments, use of medication, hospitalizations, loss of productivity, work/school absenteeism, and early mortality.^9-13 In Brazil, there was a 36% decrease in the number of hospitalizations between 2008 and 2013; the northern, northeastern, and southeastern regions are the ones with the highest hospitalization rates in the country. In that same period, the cost of hospitalizations reached nearly USD 170 million.¹⁴ A systematic review found that the cost of hospitalizations and medications for the treatment of asthma is of USD 733 per person per year.¹⁵

Considering this scenario, monitoring asthma and its risk factors is key for the development of enhanced health strategies and policies, especially because the condition can be treated at the primary level of health care.¹⁶ Therefore, the objective of the present study was to estimate the prevalence of asthma and wheezing in schoolchildren in the years of 2012 and 2015, and to verify the factors associated with them.

METHODS

This was a cross-sectional study using data from the 2012 and 2015 editions of the Pesquisa Nacional de Saúde do Escolar (PeNSE, Brazilian National School-Based Adolescent Health Survey). The PeNSE is a school-based survey conducted by the Brazilian Ministry of Health in partnership with the Brazilian Institute of Geography and Statistics, whose purpose is to collect information on adolescent health. The survey covers various health-related aspects (socioeconomic condition, family context, eating habits, physical activity level etc.). To measure such aspects, we used straightforward self-administered questionnaires that adolescents can easily understand.

The fist edition of the PeNSE happened in 2009 (with schoolchildren from Brazilian state capitals only), followed by the second and third editions in 2012 and 2015, respectively. We chose to use data from these last two surveys because the sample was expanded to other municipalities in addition to the state capitals.^17,18 The 2012 and 2015 editions of the PeNSE surveyed middle school students from public and private institutions located in urban and rural areas throughout Brazil. The PeNSE target population was formed by Year 9 students (former 8^th grade) because adolescents of this age group already have reasonable autonomy to complete the self-administered questionnaire. The student sample was composed of children attending schools in the 26 state capitals, the Federal District, and other selected municipalities.^17,18

Our study used the occurrence of asthma in life and wheezing in the previous 12 months as outcomes, measured through the following questions: a) “Have you ever had asthma in your life?” (yes/no); and b) “Have you had any wheezing (squeaking) in your chest in the last 12 months?” (yes/no). The independent variables were as follows: gender (female/male); age (≤ 13 years, 14 years, or ≥ 15 years); skin color (white, black, brown, yellow, or indigenous); maternal educational attainment (no schooling, complete primary education, incomplete primary education, complete secondary education, or higher education or above). The following questions were used to measure adolescent and parental smoking, respectively: “Have you ever smoked cigarettes, even if only one or two drags?” (yes/no), and “Does any of your parents or guardians smoke?” (none of them, my father or male guardian only, my mother or female guardian only, both my parents or guardians, or I do not know). Alcohol consumption in the previous 30 days was measured by the question: “In the last 30 days, on how many days did you drink at least one glass or dose of alcohol?”. For the present study, we considered the consumption of at least one dose of alcohol in the previous 30 days (yes/no). We also calculated an economic index using a principal component analysis based on the ownership of the following goods/services: landline, cell phone, computer, Internet, car, motorcycle, and number of bathrooms with a shower in the household. We also took into consideration whether or not participants had household help. Then, the index was divided into quintiles, the first quintile corresponded to the poorest economic index.

As for the statistical analysis, first, we described the sample of the two editions of the survey, and then we presented the prevalence of asthma and wheezing, as well as their respective 95% CIs. We also presented gross and outcome-adjusted analyses for asthma and wheezing in the two years evaluated, using the Poisson regression and the respective 95% CIs to estimate prevalence ratios (PR). For the outcome-adjusted analyses, the associations between independent variables and outcomes were adjusted for each variable.

To evaluate the evolution of asthma and wheezing in 2012 and 2015, we used a linear regression with weighted-least-squares estimation, and then we presented the annual percent change (APC) for each outcome in each Brazilian region and countrywide. All analyses were conducted with Stata statistical package, version 12.1 (StataCorp LP, College Station, TX, USA), and command svy, which considers the study design.

The PeNSE was approved by the Research Ethics Board of the Brazilian Ministry of Health under report number 192/2012 (CONEP/MS Registry number 16805 of March 27, 2012). Student participation was voluntary; students were informed they were free not to participate, or not to complete parts of or the entire questionnaire, should they wish to do so. All student and school details were collected and kept confidential.

RESULTS

The student samples in the 2012 and 2015 editions of the survey were composed of 109,104 and 102,072 individuals, respectively. The 2012 and 2015 sample characteristics are shown in Tables 1 and 2. In both editions, most of the students were female (52.2% in 2012 and 51.3% in 2015), were 14 years of age (45.6% and 51.0% in 2012 and 2015, respectively), and had brown skin color (42.2% in 2012 and 43.1% in 2015). Also in both editions, approximately 20% of the participants reported having some history of smoking and 25% reported having consumed alcohol in the previous 30 days.

Table 1
Description of the 2012 and 2015 samples of the Brazilian National School-Based Adolescent Health Survey.

Variables	2012	2015
	n (%)	n (%)
Gender
Male	52,015 (47.8)	49,290 (48.7)
Female	57,089 (52.2)	52,782 (51.3)
Age, years
≤ 13	22,443 (22.9)	17,260 (18.3)
14	50,900 (45.6)	51,611 (51.0)
≥ 15	35,761 (31.6)	33,201 (30.7)
Skin color
White	37,674 (36.8)	33,775 (36.2)
Black	14,513 (13.4)	12,849 (13.4)
Brown	48,237 (42.2)	46,935 (43.1)
Yellow/Indigenous	8,611 (7.6)	8,405 (7.4)
Maternal educational attainment
No schooling	7,371 (10.1)	5,531 (7.4)
Complete primary education	25,951 (32.2)	18,217 (26.5)
Incomplete primary education	156,975 (18.1)	12,299 (17.1)
Complete secondary education	28,244 (28.8)	23,359 (30.9)
Higher education	13,036 (10.9)	17,232 (18.1)
Economic index
1st quintile	21,725 (21.4)	22,634 (20.7)
2nd quintile	23,821 (22.2)	19,320 (18.1)
3rd quintile	22,738 (21.2)	22,383 (22.6)
4th quintile	32,056 (29.7)	29,022 (32.4)
5th quintile	8,249 (5.6)	8,239 (6.3)
Any history of smoking
No	86,113 (80.4)	83,158 (81.6)
Yes	22,784 (19.6)	18,723 (18.4)
Alcohol previous 30 days
No	80,905 (73.9)	79,364 (76.2)
Yes	27,763 (26.1)	22,597 (23.8)
Parents who smoke
None	76,809 (70.2)	75,098 (73.2)
One parent only	24,138 (24.2)	20,562 (22.3)
Both	5,022 (5.6)	3,800 (4.5)
TOTAL	109,704 (100)	102,072 (100)

Table 2
Distribution of the prevalence of wheezing and asthma in the Brazilian National School-Based Adolescent Health Survey, 2012 and 2015.

Variables	2012		2015
	Wheezing	Asthma	Wheezing	Asthma
	% (95% CI)	% (95% CI)	% (95% CI)	% (95% CI)
Gender
Male	21.4 (20,8-22,0)	12.8 (12.4-13.3)	19.2 (18.5-19.8)	15.6 (15.0-16.1)
Female	24.9 (24.3-25.4)	12.1 (11.7-12.5)	25.4 (24.7-26.1)	16.5 (15.9-17.0)
Age, years
≤ 13	23.6 (22.7-24.5)	11.7 (11.1-12.4)	24.0 (22.7-25.3)	16.7 (15.6-17.8)
14	23.4 (22.8-24.0)	12.3 (11.9-12.7)	22.5 (21.8-23.1)	15.7 (15.1-16.2)
≥ 15	22.6 (21.9-23.3)	13.1 (12.6-13.7)	21.2 (20.4-22.0)	16.2 (15.5-16.9)
Skin color
White	23.3 (22.7-24.0)	12.6 (12.1-13.2)	22.3 (21.5-23.1)	16.1 (15.4-16.8)
Black	22.7 (21.6-23.8)	12.0 (11.1-12.8)	20.5 (19.2-21.7)	16.0 (14.9-17.1)
Brown	23.1 (22.5-23.7)	12.0 (11.6-12.5)	22.7 (22.0-23.4)	15.7 (15.1-16.3)
Yellow/Indigenous	24.2 (22.7-25.6)	14.2 (13.1-15.4)	24.2 (22.5-25.9)	17.8 (16.3-19.3)
Maternal educational attainment
No schooling	22.7 (21.3-24.1)	12.6 (11.5-13.6)	21.3 (19.5-23.0)	14.6 (13.0-16.1)
Complete primary education	23.1 (22.3-23.9)	11.8 (11.2-12.3)	23.1 (22.0-24.2)	15.7 (14.8-16.7)
Incomplete primary education	23.8 (22.8-24.9)	12.3 (11.6-13.1)	23.7 (22.3-25.1)	16.4 (15.2-17.6)
Complete secondary education	23.9 (23.0-24.7)	13.5 (12.9-14.1)	24.3 (23.2-25.3)	17.3 (16.4-18.1)
Higher education	26.3 (25.0-27.7)	16.6 (15.6-17.8)	23.2 (22.0-24.4)	19.1 (18.0-20.3)
Economic index
1st quintile	20.9 (20.1-21.7)	11.1 (10.5-11.7)	19.7 (18.8-20.6)	13.6 (12.9-14.4)
2nd quintile	22.6 (21.8-23.5)	12.3 (11.7-12.9)	22.2 (21.1-23.2)	16.3 (15.4-17.2)
3rd quintile	23.2 (22.3-24.1)	11.8 (11.1-12.4)	22.6 (21.6-23.6)	16.2 (15.3-17.0)
4th quintile	25.0 (24.2-25.8)	13.1 (12.5-13.7)	24.0 (23.1-25.0)	16.4 (15.7-17.2)
5th quintile	25.6 (24.0-27.2)	17.1 (15.7-18.4)	22.7 (20.9-24.4)	20.3 (18.5-22.0)
Any history of smoking
No	21.1 (20.7-21.6)	11.4 (11.1-11.7)	20.6 (20.1-21.1)	15.0 (14.5-15.4)
Yes	31.7 (30.7-32.7)	16.7 (15.9-17.4)	30.3 (29.0-31.6)	20.8 (19.8-21.9)
Alcohol previous 30 days
No	20.9 (20.5-21.4)	11.4 (11.0-11.7)	20.4 (19.8-20.9)	14.9 (14.5-15.4)
Yes	29.7 (28.9-30.5)	15.4 (14.8-16.1)	28.8 (27.8-29.9)	19.6 (18.7-20.5)
Parents who smoke
None	22.5 (22.0-22.9)	12.2 (11.8-12.5)	21.1 (20.5-21.6)	15.5 (15.0-16.0)
One parent only	24.8 (23.9-25.7)	12.6 (12.0-13.2)	25.2 (24.1-26.3)	17.0 (16.1-17.9)
Both	24.8 (23.0-26.7)	13.8 (12.4-15.2)	28.3 (25.7-31.0)	14.5 (16.2-20.8)
TOTAL	23.2 (22.8-23.6)	12.4 (12.1-12.7)	22.4 (21.9-22.8)	16.0 (15.6-16.4)

Figure 1 shows wheezing prevalence rates in 2012 and 2015. In Brazil, wheezing decreased from 23.2% to 22.4% in 2015 (APC: −0.27). Considering the evolution of wheezing in each Brazilian region, we see that only the northern and center-western regions presented significant reductions, with an APC of −0.47 and −0.43, respectively.

Figure 1
Prevalence of wheezing in 2012 and 2015 per Brazilian region.

Figure 2 shows the evolution of asthma (reported in life) in both editions (2012 and 2015). In Brazil as a whole, there was an increase from 12.4% to 16.0% in the prevalence of asthma (APC: 1.2). The center-western region was the only one that did not present a significant change in the prevalence of asthma. All other regions showed significant increases, the greatest one in the southern region (APC: 2.17).

Figure 2
Prevalence of asthma in 2012 and 2015 per Brazilian region.

Table 3 shows the prevalence ratios of factors associated with wheezing in 2012 and in 2015. After adjustments, in 2012, the following factors showed a positive association with a higher prevalence of wheezing: being a girl (PR = 1.16, 95% CI: 1.12-1.21), having a higher economic index (PR = 1.20; 95% CI: 1.11-1.29), having any history of smoking (PR = 1.39, 95% CI: 1.33-1.45), and having consumed alcohol in the previous 30 days (PR = 1.28, 95% CI: 1.33-1.45). Age was also associated, as older adolescents presented a lower prevalence of wheezing. In 2015, the factors associated with a higher prevalence of wheezing were similar to those of 2012; however, having one parent/guardian who smokes (PR = 1.15, 95% CI: 1.09-1.21), or both (PR = 1.24, 95% CI: 1.13-1.37) were also associated this time.

Table 3
Gross and adjusted prevalence ratios of factors associated with wheezing. Brazilian National School-Based Adolescent Health Survey, 2012 and 2015.

Variables	2012				2015
	Gross	p	Adjusted	p	Gross	p	Adjusted	p
Gender		< 0.001		< 0.001		< 0.001		< 0.001
Male	-		-		-		-
Female	1.16 (1.12-1.20)		1.16 (1.12-1.21)		1.32 (1.27-1.38)		1.31 (1.25-1.37)
Age, years		0.130		0.001		0.001		< 0.001
≤ 13	-		-		-		-
14	0.99 (0.95-1.04)		0.97 (0.93-1.02)		0.94 (0.88-0.99)		0.92 (0.86-0.98)
≥ 15	0.96 (0.91-1.01)		0.92 (0.87-0.96)		0.88 (0.83-0.94)		0.85 (0.79-0.91)
Skin color		0.410		0.371		0.003		0.021
White	-		-		-		-
Black	0.97 (0.92-0.13)		1.00 (0.94-1.06)		0.92 (0.85-0.98)		0.95 (0.89-1.03)
Brown	0.99 (0.95-1.03)		1.01 (0.97-1.06)		1.01 (0.97-1.07)		1.04 (0.99-1.09)
Yellow/Indigenous	1.04 (0.97-1.11)		1.06 (1.00-1.14)		1.08 (1.00-1.17)		1.08 (1.00-1.17)
Maternal educational attainment		< 0.001		0.107		0.077		0.532
No schooling	-		-		-		-
Complete primary education	1.02 (0.95-1.09)		0.99 (0.92-1.06)		1.08 (0.98-1.19)		1.02 (0.93-1.13)
Incomplete primary education	1.05 (0.97-1.13)		1.01 (0.94-1.10)		1.11 (1.01-1.23)		1.04 (0.94-1.15)
Complete secondary education	1.05 (0.98-1.13)		1.00 (0.93-1.08)		1.14 (1.04-1.25)		1.06 (0.96-1.17)
Higher education	1.16 (1.07-1.26)		1.08 (0.99-1.18)		1.09 (0.99-1.20)		1.01 (0.91-1.13)
Economic index		< 0.001		< 0.001		< 0.001		< 0.001
1st quintile	-		-		-		-
2nd quintile	1.08 (1.03-1.14)		1.07 (1.01-1.13)		1.13 (1.06-1.20)		1.12 (1.05-1.19)
3rd quintile	1.11 (1.05-1.17)		1.10 (1.04-1.16)		1.15 (1.08-1.22)		1.15 (1.08-1.22)
4th quintile	1.20 (1.14-1.26)		1.18 (1.12-1.24)		1.22 (1.15-1.30)		1.22 (1.15-1.30)
5th quintile	1.23 (1.14-1.32)		1.20 (1.11-1.29)		1.15 (1.05-1.26)		1.17 (1.06-1.29)
Any history of smoking		< 0.001		< 0.001		< 0.001		< 0.001
No	-		-		-		-
Yes	1.50 (1.44-1.56)		1.39 (1.33-1.45)		1.47 (1.40-1.54)		1.35 (1.28-1.42)
Alcohol previous 30 days		< 0.001		< 0.001		< 0.001		< 0.001
No	-		-		-		-
Yes	1.42 (1.37-1.47)		1.28 (1.33-1.45)		1.42 (1.35-1.48)		1.25 (1.19-1.32)
Parents who smoke		< 0.001		0.05		< 0.001		< 0.001
None	-		-		-		-
One parent only	1.10 (1.06-1.15)		1.06 (1.01-1.10)		1.20 (1.14-1.26)		1.15 (1.09-1.21)
Both	1.11 (1.02-1.19)		1.04 (0.96-1.13)		1.34 (1.22-1.48)		1.24 (1.13-1.37)

Table 4 describes the prevalence of factors associated with asthma in 2012 and in 2015. After adjustments, in 2012, the following factors were associated with asthma: having yellow or indigenous skin color (PR = 1.16; 95% CI: 1.05-1.28), having a higher maternal educational attainment (PR = 1.25; 95% CI: 1.11-1.40), having a higher economic index (PR = 1.27; 95% CI: 1.14-1.42), having any history of smoking (PR = 1.38; 95% CI: 1.30-1.47), and having consumed alcohol in the previous 30 days (PR = 1.23, 95% CI: 1.16-1.30). In 2015, the factors associated remained the same, except for skin color, which was not associated with the outcome this time, and having parents/guardians who smoke, which was (PR = 1.16, 95% CI: 1.00-1.35).

Table 4
Gross and adjusted prevalence ratios of factors associated with asthma. Brazilian National School-Based Adolescent Health Survey, 2012 and 2015.

Variables	2012				2015
	Gross	p	Adjusted	p	Gross	p	Adjusted	p
Gender		0.012		0.273		0.032		0.004
Male	-		-		-		-
Female	0.94 (0.90-0.99)		0.97 (90.92-1.02)		1.56 (1.00-1.11)		1.09 (1.03-1.15)
Age, years		0.003		0.174		0.219		0.203
≤ 13	-		-		-		-
14	1.05 (0.98-1.12)		1.01 (0.94-1.08)		0.94 (0.87-1.01)		0.94 (0.86-1.02)
≥ 15	1.12 (1.05-1.20)		1.06 (0.99-1.15)		0.97 (0.90-1.05)		0.97 (0.89-1.07)
Skin color		0.002		0.024		0.069		0.141
White	-		-		-		-
Black	0.95 (0.88-1.03)		1.01 (0.93-1.10)		0.99 (0.92-1.08)		1.03 (0.94-1.14)
Brown	0.95 (0.90-1.01)		1.02 (0.96-1.08)		0.98 (0.92-1.04)		1.02 (0.96-1.09)
Yellow/Indigenous	1.12 (1.03-1.23)		1.16 (1.05-1.28)		1.11 (1.01-1.22)		1.14 (1.02-1.27)
Maternal educational attainment		< 0.001		< 0.001		< 0.001		0.002
No schooling	-		-		-		-
Complete primary education	0.94 (0.85-1.03)		0.92 (0.84-1.02)		1.08 (0.96-1.22)		1.02 (0.90-1.16)
Incomplete primary education	0.98 (0.88-1.09)		0.97 (0.87-1.08)		1.13 (0.99-1.28)		1.06 (0.93-1.21)
Complete secondary education	1.07 (0.98-1.18)		1.05 (0.94-1.16)		1.18 (1.05-1.33)		1.11 (0.98-1.26)
Higher education	1.32 (1.19-1.47)		1.25 (1.11-1.40)		1.31 (1.17-1.48)		1.23 (1.07-1.40)
Economic index		< 0.001		< 0.001		< 0.001		< 0.001
1st quintile	-		-		-		-
2nd quintile	1.11 (1.03-1.19)		1.08 (1.00-1.17)		1.19 (1.10-1.29)		1.22 (1.11-1.34)
3rd quintile	1.06 (0.98-1.15)		1.03 (0.95-1.12)		1.19 (1.10-1.28)		1.20 (1.10-1.31)
4th quintile	1.18 (1.10-1.26)		1.09 (1.01-1.19)		1.20 (1.12-1.29)		1.16 (1.06-1.27)
5th quintile	1.54 (1.40-1.69)		1.27 (1.14-1.42)		1.49 (1.34-1.64)		1.36 (1.20-1.53)
Any history of smoking		< 0.001		< 0.001		< 0.001		< 0.001
No	-		-		-		-
Yes	1.46 (1.38-1.54)		1.38 (1.30-1.47)		1.39 (1.31-1.48)		1.25 (1.16-1.35)
Alcohol previous 30 days		< 0.001		< 0.001		< 0.001		< 0.001
No	-		-		-		-
Yes	1.36 (1.29-1.43)		1.23 (1.16-1.30)		1.31 (1.24-1.39)		1.17 (1.09-1.25)
Parents who smoke		0.045		0.360		0.001		0.042
None	-		-		-		-
One parent only	1.03 (0.98-1.10)		0.99 (0,93-1.06)		1.10 (1.03-1.17)		1.07 (0.99-1.15)
Both	1.14 (1.02-1.26)		1.08 (0,96-1.22)		1.19 (1.05-1.35)		1.16 (1.00-1.35)

DISCUSSION

The results of the present study indicate a decrease in the prevalence of wheezing from 23.2% in 2012 to 22.4% in 2015. The data related to asthma, in turn, indicate an increase in the prevalence of this CNCD from 2012 to 2015 (APC: 1.2). The main factors associated with wheezing in 2012 were gender, age, and economic level. Having smoked at least once in life and having consumed alcohol in the previous 30 days also influenced the prevalence of wheezing and the self-reported diagnosis of asthma in both years.

One of the possible explanations for the increase in the prevalence of asthma and a concomitant decrease in wheezing is the different reporting periods for one or another. Also, wheezing is a symptom that is used as a proxy for the disease in epidemiological studies, especially in the period of life between childhood and adolescence, and, unlike asthma, it does not require a physician to be diagnosed. The increase we found in the prevalence of asthma can be related to an improved access to health care, especially at the primary level, observed in Brazil.^19-21 On the other hand, the decrease in wheezing in 2015 can be related to a better control of the disease, resulting from the asthma medication provided for free via the Popular Pharmacy Program the previous year.²²

There is evidence of an increasing prevalence of asthma from 1960 onwards, but its causes have yet to be fully understood.²³ A study published in 2009 using ISAAC data showed a high prevalence of asthma in Latin America and stated that it was associated with social and biological mechanisms related to economically unfavorable conditions and urbanization, as well as to exposure to allergens, irritants, and pollutants.²⁰ In the present study, we found a positive association between a higher economic level and a higher prevalence of wheezing and asthma, which can be explained by a more favorable family financial condition that facilitates access to health care and diagnosis. In addition, a higher maternal educational attainment can mean more access to information about the disease and, as a consequence, a higher quality of reporting by this group of participants.²⁴ A lower maternal educational attainment is associated with lower incomes and limited access to health care, which leads to lack of medication and undertreatment.^10,25,26

Having yellow or indigenous skin color has also shown to be a factor associated with asthma in the 2012 edition of the survey. As a consequence of discrimination, ethnic minorities have poorer access to goods, opportunities, and health care. Therefore, people who are in a situation of socioeconomic marginalization, living in terrible housing conditions in the outskirts of Brazilian cities, are more susceptible to diseases in general, including asthma.^27,28

As for the biological mechanisms, wheezing was more prevalent in female and younger participants. A group of authors⁷ who studied children between zero and 9 years of age found a higher rate of asthma diagnosis in boys, possibly due to physiological disadvantages presented by boys in this age group, such as lower respiratory rates and a higher concentration of IgE (allergen-specific antibodies).^7,29 One of the possible explanations for this is that the risk of boys developing wheezing and asthma reduces in late childhood and, therefore, in adolescence, the disease becomes more prevalent in girls.³⁰

Exposure to allergens, irritants, and pollutants might be associated with an increased prevalence of asthma.² In the present study, having smoked and having consumed alcohol were also associated with the prevalence of asthma in 2012 and 2015, as well as having one or both parents/guardians who smoked. A study with Hispanic children living in the southwest of the USA found a positive association between exposure to cigarette smoke in places with limited air circulation and asthma.³¹ According to the Brazilian guidelines for asthma management,³² smoking hinders asthma control, whereas quitting smoking improves the quality of life of individuals and decreases the asthma costs to the health care system. Not only has tobacco a negative impact on the management of asthma, exacerbating its symptoms, but cocaine, heroin, and alcohol do as well.

Our data show that there was a reduction in the prevalence of wheezing in Brazil, especially in the northern region (APC: −0.27); however, the prevalence of asthma increased in the same region despite the fact that there was greater coverage of public health care assistance programs and of the Family Health Strategy initiative in 2015 than in 2012.²¹ Another study found a higher prevalence of a medical diagnosis of asthma in the north of Brazil (13.5%; 95% CI: 12.7-14.2) than in the other regions.²⁴ The prevalence of wheezing also decreased in the center-western region, whereas the prevalence of asthma did not present a statistically significant difference. Other authors²¹ reported an increase in the prevalence rate from 21.6% in 1998 to 30.1% in 2013 (8.5 percentage points) based on data from visits that took place via private health care plans in that region. This could be understood as a higher quality of treatment provided by the private health care network, though there was also an increase in the participation of the Unified Health System (Brazilian public health care system).

In addition to the northern region, the northeastern, southeastern, and southern regions also presented increases in the prevalence of asthma in life. According to the American Thoracic Society, climate and temperature can be considered irritants that trigger asthma.³³ For asthma patients, places with a wide temperature variation or high levels of pollution can be harmful.^34,35 A study³⁶ concluded that climate changes can alter local climate patterns—such as maximum and minimum temperatures, and precipitation from rain and storms—and have negative impacts on allergic diseases, which could explain the increased prevalence of asthma in climatically distinct regions. In addition, according to a study with data from throughout Brazil,³⁷ lower temperatures, such as those found in the south of the country, tend to keep people indoors for longer periods of time, with reduced air circulation, which leads to an increase in allergic processes and respiratory infections. A positive association was also found between the prevalence of active asthma and water deprivation in the northeastern region.³⁸

Controlling risk factors—such as smoking, alcohol consumption, and exposure to allergens—is considered important for a better management and treatment of asthma.³⁹ Therefore, despite the increase in the prevalence of asthma, the decrease in the prevalence of its main symptom suggests a reasonably positive management by the health care system.

We should point out that our study has a few limitations. One of them is the different reporting periods for asthma (in life) and wheezing (in the previous 12 months). Another one is related to the fact that the PeNSE is a school-based survey conducted throughout the country, focusing on several aspects of adolescent health. As such, the establishment of a medical diagnosis or the inclusion of further questions to better define asthma for the entire study population might have been logistically infeasible and certain pieces of information might not have been collected. In addition, the fact that the questionnaire is self-administered may lead to errors since participants might misunderstand some of the questions or make mistakes when choosing the answers. These limitations can prevent this study from being compared with others that focus on respiratory diseases, such as the ISAAC, which describes not only the prevalence but also the severity of asthma, rhinitis, and eczema, and contains more information on risk factors for these diseases.^4,5 However, among the strengths of the our study are the representative sample of schoolchildren from throughout the country and the continuity in asthma monitoring, which can contribute to improving disease control strategies. Despite their limitations, self-reported questions have been used in population studies as a good proxy for the monitoring of wheezing and, consequently, asthma.

Our results suggest a reduction in the prevalence of wheezing but an increase in the prevalence of asthma in the years evaluated. Social and biological mechanisms, such as an economically unfavorable condition, limited access to health care (and consequently poorer diagnoses), lack of medication and treatment, as well as urbanization, climate, and temperature, can lead to a higher prevalence of the disease. A higher prevalence of asthma, in turn, has negative effects on quality of life and increases health costs with medical appointments, use of medication, frequency of hospitalization, loss of productivity, work/school absenteeism, in addition to early mortality. Therefore, a better understanding of the factors associated with the increased prevalence of asthma is essential for the development of health strategies and policies.

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• 1
  Study carried out in the Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas (RS), Brazil.

• Financial support:

  None.

Publication Dates

• Publication in this collection
  27 June 2019
• Date of issue
  2019

History

• Received
  28 May 2018
• Accepted
  23 Sept 2018