Background/Aims: School indoor air quality is important because children spend most of their time outside home within the school environment. This study aimed to investigate the school environment and its impact on the respiratory health of the children. Methods: A total of 191 pupils in the 9- to 11-year age group were selected from 5 primary state schools. Validated school and health questionnaires, spirometry, acoustic rhinometry, nasal lavage, urine for environmental tobacco smoke biomarkers and traffic counts were used. Results: Cumulative (32.98%) and current wheezing (17.8%) were in keeping with the International Study of Asthma and Allergies in Childhood Malta data. Southern schools had the highest prevalence of current wheezers (OR 3.77; p = 0.012), rhinoconjunctivitis (OR 3.59; p = 0.003) and nasal eosinophilic cationic protein levels (p < 0.001). Small openable window areas increased rhinitic symptoms (OR 3.14; p = 0.016). Classes facing roads had increased current wheezers (OR 2.27; p = 0.03) and exhaled carbon monoxide (eCO) levels (p < 0.001). Current wheezing was significantly associated with the number of light and heavy vehicles passing near the school (p < 0.001). The presence of smokers at home was significantly associated with urinary cotinine and 3HC (p < 0.001). Proximity to power plants increased the current wheezers (OR 5.89; p = 0.001) who had impaired spirometry (p = 0.003). Asthma symptoms (OR 5.25; p = 0.001) and elevated eCO levels (p < 0.001) were associated with fuel storage facilities near schools. The accumulation of dust on flat surfaces within classrooms was related to wheezing (OR 5.23; p = 0.001). Conclusions: The school environment had a direct impact on the respiratory health of children, with several factors having a direct impact on the children's health.

The International Study of Asthma and Allergies in Childhood (ISAAC) Malta showed an increase in prevalence of wheezing among 5- to 8-year-olds between phase 1 (1994) and phase 3 (2001) [1], with most regions of the Maltese islands reporting an increase in wheezing [2]. Due to the small size of Malta, the climate is similar in all the regions studied, thus exposing residents to similar viral infections [3], perennial and seasonal allergens, which may influence atopic disease in childhood. Malta has dust deposition levels 5 times the European average [4]. Traffic may also influence the geographical variations of asthma, since Malta has the fifth highest number of vehicles per capita in the world [5]. Diesel has been found to increase IL-10 in the airways of exposed individuals [6], thus predisposing them to developing asthma. Genetic components and environmental factors must influence the geographical distribution of wheezing in the Maltese islands.

Studies have highlighted the role of dust mites, cockroaches, cats, dogs and fungi as contributors to the development or progression of atopic disease [7]. A negative correlation exists between acute asthma admissions in Malta and mean monthly ambient temperatures, which might suggest that temperature is a proxy for the time spent indoors [8]. School environments with high levels of cat, dog, cockroach, mould and dust allergens have an increased incidence of asthma diagnosis among the pupils [9,10,11] confirmed by an increase in eosinophil peroxidase and myeloperoxidase (MPO) in the sputum of exposed children [12].

To date, there is no data regarding the impact of school indoor air quality on the children's health in island nations such as Malta. Extrapolation of data obtained in studies carried out in Europe or the US is impossible due to the unique environmental and geographical characteristics.

Data Collection

Five primary state schools were selected randomly from 5 geographical clusters of schools designated north, south, central, east and west. Three classrooms within each school were selected among the 9- to 11-year age group with all students being asked to participate. The classrooms were randomly selected by a ballot system so as to eliminate potential bias. Primary state schools in Malta are coeducational. The data collection was carried out between October 2011 and February 2012.

Ethical Approval and Consent

This study was approved by the University of Malta Research Ethics Committee and the Education Department Research Directorate. Both students and their parents were given written information sheets about the study, and a meeting for all students and parents was held at each school. Parents were asked to sign a consent form.

Questionnaires

Standardized health questionnaires based on the ISAAC [13] were answered by the children's parents. All 5 school buildings were analyzed using checklists and questionnaires so as to obtain a detailed architectural profile of each school and classroom [14]. School cleaning and maintenance routines were also assessed.

Clinical Tests

Clinical tests were performed on all pupils who consented within the selected classrooms. Tests included spirometry (microQuark COSMED) [15], exhaled nitric oxide (NIOX MINO®) [16], exhaled carbon monoxide (eCO; piCO+™ CO) [17] and acoustic rhinometry of the nasal cavity (A1 Acoustic Rhinometer by GM Instruments) [18]. Nasal lavage in randomly selected students was performed after acoustic rhinometry and analyzed for MPO, eosinophilic cationic protein (ECP), lysozyme and albumin. ECP and MPO were determined by double antibody radioimmunoassay [19,20]. Lysozyme was analyzed using radioimmunoassay [21], and rate nephelometry on an Array protein system was utilized for albumin [22]. Students were asked to provide a morning urine sample for cotinine and trans-3-hydroxycotinine (3HC), which are markers of environmental tobacco smoke (ETS) exposure. A manual traffic count was performed in the roads adjacent to each of the 5 individual schools.

Statistical Analysis

Questionnaires were analyzed using IBM SPSS Statistics version 21 (Chicago, Ill., USA). The χ2 and Fisher exact tests were utilized to examine the association between categorical variables for ordinal data, and the Mann-Whitney U test was used to determine whether a significant difference existed between 2 independent groups.

For statistical significance, a p value cutoff point of 0.05 was adopted. Regression analysis was used to eliminate any possible confounding factors.

One hundred and ninety-one (80.59%) students consented to taking part in the study, with 51.16% of the pupils being females and 48.84% being males (table 1). Of all the pupils, 32.98% had wheezing ‘ever', while 17.8% had current wheezing in the previous 12 months. Allergic rhinitis ‘ever' was present in 34% of the children, while 29.84% complained of rhinitic symptoms in the previous 12 months (table 2). Cumulative rhinitic symptoms peaked during May (36.92%; p ≤ 0.001) and November (40%; p < 0.001), with 43% of the pupils complaining that these symptoms interfere with daily activities.

Table 1

Student demographics in all 5 schools

Student demographics in all 5 schools
Student demographics in all 5 schools
Table 2

Prevalence (%) of wheezing and rhinitis in all 5 schools

Prevalence (%) of wheezing and rhinitis in all 5 schools
Prevalence (%) of wheezing and rhinitis in all 5 schools

Pupils graded indoor and outdoor air quality of the schools on a scale from 1 to 6, with 1 being very poor and 6 being excellent (fig. 1). The mean scores were 4.27 (SD 1.67) for indoor air quality and 3.71 (SD 1.87) for outdoor air quality. Southern located schools scored lowest for both indoor (3.71, SD 1.51, p < 0.001) and outdoor air quality (2.97, SD 1.78, p = 0.003) when compared to the other schools.

Fig. 1

Air quality perception scores in each individual school. S1 = School 1 (central); S2 = school 2 (east/coast); S3 = school 3 (west/rural); S4 = school 4 (south); S5 = school 5 (center/south).

Fig. 1

Air quality perception scores in each individual school. S1 = School 1 (central); S2 = school 2 (east/coast); S3 = school 3 (west/rural); S4 = school 4 (south); S5 = school 5 (center/south).

Close modal

ETS exposure within homes was identified as an independent risk factor for wheezing in this cohort of students who were more likely to complain of exercise-induced wheezing in the previous 12 months (OR 2.54, CI 2.32-8.7, p = 0.032).

Urine samples were analyzed for cotinine and 3HC as surrogate markers for ETS exposure. Students in schools 1 (Qormi) and 4 (B'Bugia) had the highest mean levels of both metabolites (p < 0.001).

There was a significant positive correlation between the two metabolites within the whole cohort (r = 0.87; p < 0.001). Both urinary cotinine and 3HC levels were significantly associated with the presence of smokers within the domestic environment (p < 0.001); however, there was no correlation with eCO.

School Environment and Health

School Location

Southern located schools (fig. 2) were associated with an increase in current wheezers (OR 3.77, CI 1.23-11.53, p = 0.012), exercise-induced wheezing (OR 4.27, CI 1.07-17.06, p < 0.001) and nocturnal dry cough (OR 1.26, CI 1.38-2.43, p = 0.019). There was an increase in current allergic rhinoconjunctivitis (OR 3.59, CI 1.49-8.64, p = 0.003) and low minimal cross-sectional areas of both nostrils (p = 0.015). A total of 942 light cars and 87 heavy goods vehicles passed by the schools during the sampling period, with current wheezing being significantly associated with both light and heavy vehicle traffic (p < 0.001). Children in classrooms facing a street complained of current wheezing (OR 2.27, CI 1.07-4.82, p = 0.03) and had raised eCO levels (p < 0.001), narrow nasal cross-sectional areas (p < 0.001) and volumes (p = 0.014), and increased nasal lysozyme levels (p = 0.008; fig. 3). Lung function tests were significantly better (p < 0.001) in children attending rural schools when compared to urban schools.

Fig. 2

Forest plot showing an association between symptoms and the southern location of schools. ADLs = Activities of daily living.

Fig. 2

Forest plot showing an association between symptoms and the southern location of schools. ADLs = Activities of daily living.

Close modal
Fig. 3

Forest plot showing an association between symptoms and traffic near schools.

Fig. 3

Forest plot showing an association between symptoms and traffic near schools.

Close modal

Schools situated close to power plants and fuel storage facilities had an increased prevalence of current wheezing (OR 5.89, CI 1.82-19.08, p = 0.001) and nocturnal cough (OR 1.26, CI 1.13-2.43, p = 0.019). Spirometric values were significantly lower than predicted volumes (p < 0.001), exhaled nitric oxide levels were raised (p = 0.039), nasal cross-sectional areas decreased (p = 0.005), and children complained of rhinoconjunctivitis (OR 3.59, CI 1.49-8.64, p = 0.003).

School Building Orientation

Children in classrooms with western and southern window orientations were associated with having rhinoconjunctivitis (OR 4.62, CI 1.33-15.97, p = 0.009 and OR 1.17, CI 1.08-1.26, p = 0.001, respectively), which resolved on leaving the school environment (OR 4.15, CI 1.19-14.45, p = 0.017), with increased eCO (p ≤ 0.001) levels, decreased nasal cross-sectional areas and volumes (p < 0.001), and hand/forearm skin rashes (OR 3.34, CI 1.07-10.39, p = 0.029). Children in those classrooms having openable window areas below the school mean complained of nocturnal dry cough (OR 1.38, CI 1.05-2.66, p = 0.001) and rhinitic symptoms (OR 3.14, CI 1.2-8.21, p = 0.016). These pupils had reduced nasal volumes (p = 0.037) and raised eCO (p = 0.035) and nasal lavage MPO (p = 0.046) levels.

School Maintenance and Environment

Low humidity resulted in less rhinitis (OR 0.21, CI 0.07-0.62, p = 0.007), while increased humidity was associated with increased eCO (p = 0.015) and nasal lavage MPO (p < 0.001) levels. Itchy rashes (OR 3.36, CI 1.18-9.53, p = 0.025) and eczema (OR 2.34, CI 1.06-5.13, p = 0.032) were associated with mould damage in schools.

Closing windows during cleaning resulted in increased phlegm (OR 4.83, CI 1.62-14.42, p = 0.002), diminished peak expiratory flow rate (p = 0.048) and increased eCO (p = 0.015) levels.

Daily floor sweeping routines were associated with current wheezing (OR 4.44, CI 1.49-13.19, p = 0.003) and worsening FEV1 (p < 0.001), increased eCO (p < 0.001) and nasal lavage ECP (p = 0.006) levels. In classrooms where flat surfaces were never cleaned, an increase in current wheezing was observed in students (OR 5.89, CI 1.82-19.08, p = 0.001), as well as raised exhaled nitric oxide (p = 0.039) levels and current rhinoconjunctivitis (OR 5.08, CI 1.32-19.49, p = 0.003).

This study has shown an increase in the prevalence of cumulative (32.98%) and current wheezing (17.8%) and diagnosed asthma (16.75%) among the study population when compared to the ISAAC data despite the difference in sample size and age [1,23]. Children attending schools located in the southern region of the Maltese islands had the highest prevalence of cumulative and current wheezing. These data are in keeping with the geographical distribution of wheezing in the Maltese islands based on ISAAC phases 1 and 3 [2].

ISAAC Malta data have shown that 28.8% of Maltese children had current rhinitis in 2001 (23.4% in 1994) [1]. This increasing trend has been confirmed in this study, where 29.84% of the children complained of rhinitis symptoms during the previous 12 months. The burden of upper airway disease in Maltese school children is evidenced by the fact that the mean total minimal cross-sectional area of the children participating in this study was lower (0.38 cm2, SD 0.25) than published age-matched reference values (0.75 cm2) [24].

The mean nasal volume (4.4 cm3) was similar to age-matched nasal volumes (4.41 cm3, SD 3.55) despite diminished nasal areas. One possible explanation is that airway size alters air volume when nasal cross-sectional area is less than a threshold area of 0.4 cm2[25].

Tobacco exposure at home was found to be an independent risk factor for exercise-induced wheezing, itchy rashes and rhinoconjunctivitis. The significant association between cotinine and 3HC and the presence of smokers within the domestic environment shows that future studies should take into consideration ETS exposure as a potential confounding factor.

Interpretation of School versus Health Analysis

The present study has shown that an association exists between the school environment and the respiratory health of the pupils.

School Location

The southern regions of the Maltese islands are highly urbanized, and a variety of industries are present. There are several main thoroughfares through which large amounts of traffic pass on a daily basis. Children attending schools in this location were more likely to complain of wheezing and rhinoconjunctivitis and had the highest levels of nasal ECP, indicating increased activity of eosinophil granulocytes. These destroy the upper airway epithelial mucosa acting as a surrogate marker for the impact of airborne pollutants on nasal mucosa [26]. One can speculate that environmental irritants had a negative impact on the nasal mucosa. Exposure to endotoxins in a rural environment during childhood has been found to protect the children from asthma, which could explain the lower prevalence of atopy in our rural schools [27].

Car parks near schools were significantly associated with asthma and the use of medications. Poor school air quality secondary to stationary idling vehicles both on roads and in car parks is frequently overlooked. Ryan et al. [28] have described the beneficial impact of vehicle idling measures around schools on PM2.5 and particle number concentration levels.

Malta has a large oil-fired power plant located in the south of the island. These regions were characterized by an increase in wheezing among children in the ISAAC, and this study confirms that the presence of these installations together with fuel-dispensing facilities near schools have a negative impact on the children's respiratory health [2].

School Building Orientation

Southern class window orientations were associated with nasal and skin allergies and raised eCO levels. Subclinical airway inflammation manifesting as rhinitis or atopic eczema secondary to an environmental irritant within these classes cannot be excluded [29]. The second most common wind directions in the Maltese islands are west-southwest winds (8.9%) and south-southwest winds (7.8%) [30]. These are characterized by high levels of humidity and dust arising from North Africa, especially the Sahara desert. One can speculate that these winds push outdoor environmental irritants into the classroom, thus accounting for the increased prevalence of allergies in classrooms having southern window orientations. Another potential source of airborne pollutants entering these classrooms is an oil-fired power plant, which is located at the southern end of the Maltese islands.

School Cleaning and Maintenance

Chew et al. [31] described an association between the presence of cockroach allergen in schools and an increase in asthma symptoms as shown in this study, where eradication of cockroaches actually resulted in an improvement in symptoms and lung function. Daily sweeping of floors resulted in impaired spirometry and raised nasal ECP levels, possibly due to an increase in airborne irritants which would have previously settled over time. Cleaning activities are a source of particulate matter (PM2.5), and increased sensitization to house dust mite and increased levels of serum ECP have been described in subjects who vacuum indoor floors [32].

When flat surfaces were never cleaned, children complained of wheezing and upper airway symptoms. Nasal ECP was higher in these classes, thus highlighting the role of dust allergens within the indoor environment. No high-efficiency particulate air vacuum cleaners are utilized in Maltese schools.

Humidity in our study was associated with atopy, suggesting a possible link between environments favoring mould growth and atopic airway disease. Interestingly, atopic eczema was more likely in classrooms with visible mould damage. Fungal proteases may activate epithelial cells through a protease-activated receptor type 2-driven mechanism [33]. Children in schools having regular pest eradication programs were less likely to complain of atopy.

This study has shown that there is a high prevalence of atopy among Maltese school children when compared to international data. Children attending schools located in urban areas with high volumes of traffic and industrial activities had a higher prevalence of wheezing and rhinitis when compared to other schools. This study highlights the impact of school indoor and outdoor environment on the students' respiratory health and provides much needed data for the design of an ‘ideal' school within the subtropical geographical scenario. Future schools should be located far away from any industrial activities and heavy traffic. Traffic around the school should be kept to a minimum with no car parking facilities situated next to the school building.

Schools should ideally avoid having classrooms with southern-facing windows and have regular pest eradication programs together with standardized cleaning protocols utilizing high-efficiency particulate air filter-equipped vacuum cleaners to regularly remove dust from flat surfaces in classrooms. Parents need to be educated about the problems associated with ETS exposure. More research is needed to identify potential environmental pollutants in schools responsible for the distribution of allergic disease.

Strengths and Limitations

An even distribution of males and females eliminated gender bias. Due to the small size of the country, there were no confounding microclimates, and the children resided in the town where the school was located.

The main limitation is the relatively small number of children participating when compared to studies such as the ISAAC.

The study was done as part of the European Union SINPHONIE Study commissioned by DG SANCO. The authors received some funding from SINPHONIE (European Commission service contract of the DG Sanco).

The authors declare that there were no conflicts of interest within this study.

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