1 Department of Environmental Health, Faculty of Public Health, University of Indonesia, Depok, Indonesia
2 Department of Parasitology, Faculty of Medicine, University of Indonesia, Depok, Indonesia
This study aimed to investigate the relationship between air pollutant exposure, i.e., Particulate Matter (PM2,5), and the numbers of airborne bacterial colonies inside the classroom to the respiratory symptoms of three primary school children in West Jakarta.
We did a quantitative study with a cross-sectional design using variables, i.e., age, sex, physical activity, nutritional status, students’ density, ventilation, classroom temperature, and classroom humidity. We used Haz-Dust EPAM 5000 to measure PM2,5,MAS 100 NT to calculate the total bacterial colony, spirometry to measure the respiratory capacity, and questionnaire to measure other related variables.
We found a significant relationship between PM2,5concentration with respiratory symptoms, however, there was no significant relationship between the total number of airborne bacterial colonies with respiratory symptoms.
Based on our results, we conclude that there was a significant relationship between the PM
concentration and obstructive pulmonary symptoms and there was no significant relationship between the numbers of the bacterial colonies with pulmonary symptoms.
Keywords: Children, PM2,5, Airborne bacterial colony, Respiratory function, Primary school, West Jakarta.
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* Address correspondence to this author at the Department of Environmental Health, Faculty of Public Health, University of Indonesia, Depok, Indonesia; E-mail:email@example.com
Indoor Air Pollution and Respiratory Function on Primary School Students in West Jakarta, Indonesia
Polluted air is a condition where the air composition changes from the normal state due to the presence of a certain quantity of foreign substances during a certain period which mainly caused by the increase of human activity [1Prabowo K. Dan Muslim, B 2018.]. Humans spend most of their time in an indoor environment, i.e., house and school [1Prabowo K. Dan Muslim, B 2018., 2Madureira J, Paciencia I, Rufo J, et al. Indoor air quality in schools and its relationship with children’s respiratory symptoms. Atmos Environ 2015; 118: 145-56. [http://dx.doi.org/10.1016/j.atmosenv.2015.07.028] ]. Children are more vulnerable to the effects of air pollution because their epithelial tissue in their respiratory tract is more permeable to pollutants [3Kim JJ. Ambient Air Pollution: Health Hazards To Children. Pediatrics114 2004; 1699-707. [PMID: 15574638] ]. Children’s educationalactivities are mainly done inside the school, the classroom as the main area for study. The health of students and their school environment are crucial factors that support the education process. Poor air quality caused by several pollutants, such as airborne microorganisms (e.g., bacteria, fungi) and particulate matter (e.g., PM2,5) could disrupt the education process, especially if the maintenance and cleanliness of schools were not done properly [4Putra I, Ikhtiar M, Ernelda A. 2018.Analisis Mikroorganisme Udara terhadap Gangguan Kesehatan dalam Ruangan Administrasi Gedung Menara UMI Makassar http://jurnal.fkmumi.ac.id/index.php/woh/ article/view/woh1202-6Ramadhan MS. Hubungan Keberadaan Bakteriologis Udara Terhadap Kondisi Ruangan Di Ruang Kuliah Mahasiswa S1 2018.].
In general, the source of classroom pollutants was cigarette fume, incomplete combustion of fuel from the traffic and industry, and aircontaminatedwith microorganisms [7Forum of International Respiratory Societies (FIRS). The Global Impact of Respiratory Disease 2nd ed. 2017; 1-42.]. The main source of indoor microorganisms, or bioaerosol, is contaminated air from the outside environment. Bioaerosol can be a specific bacterium that enters indoor or fungi from decayed organisms [8Environmental Protection Agency. Indoor Air Facts No4 (revised) Sick Building Syndrome (SBS) Environmental Protection Agency United States 2007. Available from: http://www.epa.gov/iaq/pubs/ sbs.html]. Bioaerosols from dust particles are potentially causing the respiratory symptoms in humans [9Tischer C, Chen CM, Heinrich J. Association between domestic mould and mould components, and asthma and allergy in children: A systematic review. Eur Respir J 2011; 38(4): 812-24. [http://dx.doi.org/10.1183/09031936.00184010] [PMID: 21540311] ]. Particulate Matter (PM) is one of the air pollutants which mainly consist of a complex mixture of solid and suspended liquid particles. Small-sized PM (PM2,5) has 2.5 µm diameter which can penetrate thorax in the respiratory system and could cause several health symptoms, e.g., asthma, respiratory tract infection, even death [10Health Effects of Particulate Matter (Policy Implications for Countries in Eastern Europe, Caucasus and Central Asia) 2013.].
The ambient and indoor air pollution exposure could affect lung development of children, which can reduce lung function in the future [11Hoek G, Krishnan RM, Beelen R, et al. Long-term air pollution exposure and cardio- respiratory mortality: A review. Environ Health 2013; 12(1): 43. [http://dx.doi.org/10.1186/1476-069X-12-43] [PMID: 23714370] , 12Bush A. Lung development and aging. Ann Am Thorac Soc 2016; 13(Suppl. 5): S438-46.http://www.atsjournals.org/ doi/ abs/ 10.1513/ AnnalsATS.201602-112AW [http://dx.doi.org/10.1513/AnnalsATS.201602-112AW] [PMID: 28005431] ].The diseases (e.g., asthma, lung cancer, pneumonia) and deaths caused by indoor air pollution mostly affected children and women, especially those who were coming from low-income households [132016.http://www.who.int/indoorair/publications/burning-opportunities/en/]. Air polluted by airborne microorganisms, i.e., hundreds of species of bacteria and fungi which grow indoors when the air is humid may cause several health issues, such as allergy and asthma [14Dampness and Mould WHO Guidelines for Indoor Air Quality 2009.]. Asthma is a chronic inflammation of the respiratory tract which caused bronchus hyperactivity to several stimuli, e.g., air pollution [15Direktorat Jenderal Pengendalian Penyakit dan Penyehatan Lingkungan Direktorat Pengendalian Penyakit Tidak Menular 2009., 16Luh P. Ekarini, Ni. Analisis Faktor-faktor Pemicu Dominan terjadinya Serangan Asma pada Pasien Asma 2012.].
Several types of research have reported the relationship between the occurrence of health symptoms to poor air quality, which were indicated by PM2,5concentrationand airborne microorganisms. Study of air quality from 20 schools in Porto, Portugal reported a significant relationship between PM2,5concentrationand the bacterial and fungi count with several health symptoms on children [2Madureira J, Paciencia I, Rufo J, et al. Indoor air quality in schools and its relationship with children’s respiratory symptoms. Atmos Environ 2015; 118: 145-56. [http://dx.doi.org/10.1016/j.atmosenv.2015.07.028] ]. Asrul and Juliana [5Asrul S. Indoor Air Quality and Its Association with Respiratory Health Among Preschool Children in Urban and Suburban Area. Malays J Public Health Med 2017; 1: 78-88. [Original Article].] reported a significant relationship between PM2,5concentration, fungi, bacterial count, and gram-negative bacteria with the lung function (%FVC and %FEV) on preschool children. Other research in East Jakarta on 2013 [17https://bbtklppjakarta.org/surveilans-faktor-risiko-kesehatan-lingkungan-udara-di-jakarta-timur-tahun-2013/ n.d.] reported poor air quality with PM2,5concentrationof 10-168 μg/m3with a mean value of 33.056±25.26 μg/m3 with bacterial count between 92-1,828 CFU/m3and mean 405.18±275.39 CFU/m3. Based on data in the year 2018 taken from the air quality monitoring station in Jakarta, the poorest air quality appeared in West Jakarta [18Pemerintah Provinsi DKI. 2019. http://data.jakarta.go.id/dataset/indeks -standar-pencemar-udara-di-provinsi-dki-jakarta-tahun-2018]. From 183 measured days between March 2018 and October 2018, 164 days were categorized as unhealthy and 19 days was extremely unhealthy. The West Jakarta area has a highway located nearby primary schools. Seventy percent of air pollution in big Indonesian cities were coming from a high traffic activity, with the increase in the number of vehicles is being one of the primary causes [19Wulansari A, Sarto, Saleh YD. Kualitas Udara Ambien dan Fungsi Paru Siswa Sekolah Dasar di Yogyakarta. BKM J Community Med Public Health 2016.; 32(3): 83-8.]. People who spend most of their time at a distance of 200 m from the highway were more exposed to traffic air pollutants [20Brugge D. Durant, John L., Rioux, C. 2007. Near highway pollutants in motor vehicle exhaust: A review of epidemiologic evidence of cardiac and pulmonary health risk. Environ Health 2007; 6: 23. [http://dx.doi.org/10.1186/1476-069X-6-23] [PMID: 17688699] ]. This research aimed to analyze the relationship of the classroom PM2,5concentration and the number of bacterial colonies to the lung function on primary school children.
2.1. Study Design
This study used a cross-sectional design with randomly assigned three primary school locations. We did the study from April 2019 to May 2019 with 100 students from grades 4 and 5 (10 and 11 years) as the samples. Sample size in this study is determined with estimated proportion formula by Lemenshow et al. (1990) in Notoatmodjo , resulting in minimum sample size of 69 respondents.To avoid missing respondents, the number of research samples was added by 20% so that the number of samples increased by 83 samples, eventually rounded up to 100 samples. Then, we use the probability proportional to size method to count the total number of each respondent (students) in each school. Probability proportional to size method is chosen so that the sample size will adjust and be even with the number of students in each school. Respondents were randomly assigned based on their willingness to participate after their guardians permitted and several other inclusion criteria. The inclusion criteria in this study were respondents who were in good health, were willing to become respondents by first signing the informed consent that was approved by parents/guardians, and were at the location of the study throughout the study. Respondents filled out the questionnaire, an incomplete questionnaire or a questionnaire from a respondent without their guardian's permission was excluded from the study.
2.2. Indoor Air Pollution Measurement
We measured the PM2,5concentration using Haz-Dust EPAM 5000 positioned 1 meter above the ground and distant to walls and doors (i.e., representing the actual children’s respiration zone). We used one point of measurement in each classroom and one point outside the classroom. The measurement was done in six hours (7 am - 1 pm).
We measured the indoor airborne bacterial colony using Microbiological Air Sampler (MAS) 100 NT on six points in the classroom for 3.5 minutes positioned 1 meter above the ground anddistant to walls and doors (i.e., representing the actual children’s respiration zone).Inhaled air sample was flowed through the impinger pipe and then captured with 85% physiological solution in the impinger. Physiological solutions containing air samples would be planted in a medium, incubated, then observed for growing colonies. The total plate count methodwas used to measurethe number of colonies used. The number of colonies formed at each stage was recorded and counted again after 72 hours which was then used as a result of airborne microbial sampling. However, if after five days the microorganisms did not grow, the sample was declared negative. The number of colonies that grew was expressed in units ofCFU/m3 (colony forming units per m3volume of room air that is sucked).
2.3. Lung Function, Classroom Condition, and Physical Activity Measurement
We measured the lung function on students using a spirometer . We did the anthropometry test on respondents (i.e., height, weight, sex, and age). In addition to that, we also measured the classroom’s physical conditions (i.e., temperature and humidity) and observed the classroom situation.The study data was collected on the characteristics of respondents using a questionnaire. Physical activity data was obtained using Physical Activity Questionnaire for Older Children (PAQ-C) questionnaire .
2.4. Statistical Analysis
All data were analyzed using statistical software. We used descriptive analysis to calculate mean, median, standard deviation, maximum value, and minimum value. Skewness and histogram of the data were observed to test the normality of data. Besides that, we also conducted a correlation testand students’ t-test to understand the differences and relationship between PM2,5concentration and the number of indoor airborne bacteria colonies to respondents’ lung function. Before the correlation test is performed, the normality test data is done first. Based on the results of the normality test data, if it is known that the lung function data is normally distributed and the PM2.5 concentration is not normally distributed, the Spearman non parametric correlation test is then performed. In addition, when the total air bacterial colonies tend to be normally distributed the Pearson correlation test is then performed.We used p<0.05 as the significant value on our bivariate analysis.
From the overall study location, the indoor and outdoor PM2,5concentration did not differ significantly, with the minimum indoor concentration of 37.2 µg/m3 and a median of 77.2 µg/m3. The mean total number of indoor and outdoor bacterial colonies was 112.01 CFU/m3, with a median of 113 CFU/m3, and a standard deviation of 19.2CFU/m3. The highest number of the bacterial colonies was 140 CFU/m3and the lowest was 79 CFU/m3. The environmental characteristic factor which affected the school’s air quality was outdoor PM2,5(measured in the schoolyard, nearby the gate), with the highest concentration 75.8 µg/m3 and the lowest 84.7 µg/m3(Table 1).
Table 1 Descriptive distribution of the air quality measurement in study sites (n=100).
The age proportion on study sites with the age group of above 11 years was 55% (Table 2). In general, there were no significant differencesin the number of respondents between age groups 10 and 11, or between female (49%) and male (51%). There were 53% of respondents with a normal nutritional condition and 47% with an abnormal nutritional condition. There was also no significant difference between respondents with sufficient physical activity (51%) and respondents with a lackof physical activity (49%). We found that each school has a different temperature and humidity level. Most schools have indoor classroom temperature of 300C (86%), indoor humidity of 60%Rh (93%), a proper ventilation system (84%), and a proper However, we suspected that thisstudents density (84%).
We found that our respiratory function data and the total number of airborne bacterial colonies were normally distributed.ThePM2,5concentration data were not normally distributed, therefore, we proceeded with the non-parametric Spearman correlation test. We found a weak correlation between the lung function and PM2,5concentration (Spearman correlation r=0.230), but a significant relationship (p=0,018). We found a weak correlation (Pearson correlation r=-0.178) and no significant relationship (p=0.070) between PM2,5concentration and the total number of airborne bacterial colonies (Table 3).
We found no significant differences in the lung function between the female and male respondents sex group (p=0.149, Table 4). The lung function differed significantly between the age group in our study (p=0.008). The lung function also did not differ significantly between the respondents’ nutritional status (p=0.521) and physical activity (p=0.326). Several environmental factors inside the classroom also did not affect the respondents’ lung function, i.e., students’ density (p=0.777), ventilation (p=0.482), and humidity (p=0.909). However, we found that the respondents’ lung function significantly differed between the classroom temperature (p=0.001).
Table 2 Frequency distribution of individual characteristics and environmental factors.
Pearson product-moment correlation analysis between respondents’ lung function with PM2,5 concentration and total bacterial colony on primary school students in West Jakarta.
In this study, the respiration symptom was identified by comparing the respondents’ lung function measurement results (FEV1/FVC%) with the national predicted value. The national predicted value that we used was based on the normal lung function value issued by Pneumobile Project Indonesia and specifically calculated by using our respondents’ age, sex, and height. We then interpreted the results based on the lung function symptoms category, i.e., the value of FEV1/FVCless than 70% showed lung function symptom [21Asma: Pedoman Diagnosis dan Penatalaksaan di Indonesia 2003., 22Alsagaff H, Mangunnegoro H, Amin M, Yunus F, Bernstein RS, Johnson L. Nilai normal faal paru orang indonesia pada usia sekolah dan pekerja dewasa berdasarkan rekomendasi American Thoraric Society (ATS) 1987 1992.]. Based on our analysis, the mean lung function (FEV1/FVC) of our primary school children was 89,4% with a median of 90,40%,a minimum value of 67,1%, a maximum value of 100%, and standard deviation of 7.2%. There was only one student with pulmonary symptoms (67%). However, we suspected that this was due to the student’ssmoking habit. The pulmonary function of the primary school students that we studied was relatively normal. A similar result was also shownin a study of lung function on primary school children in Porto, Portugal by Madureira et al. [2Madureira J, Paciencia I, Rufo J, et al. Indoor air quality in schools and its relationship with children’s respiratory symptoms. Atmos Environ 2015; 118: 145-56. [http://dx.doi.org/10.1016/j.atmosenv.2015.07.028] ]. Madureira et al. [2Madureira J, Paciencia I, Rufo J, et al. Indoor air quality in schools and its relationship with children’s respiratory symptoms. Atmos Environ 2015; 118: 145-56. [http://dx.doi.org/10.1016/j.atmosenv.2015.07.028] ] study also showed normal pulmonary function in primary school children and although there were some statistical differences, there were no relevant differences according to the levels of indoor air parameter tested.
Table 4 Analysis results of relationship between environmental characteristics with respondents’ lung condition on primary school students in West Jakarta.
The indoor PM2,5concentration was more affected by the outdoor infiltration compared to the indoor source related to the presence of children and their indoor activities [23Chen C, Zhao B. Review of relationship between indoor and outdoor particles: I/O ratio, infiltration factor and penetration factor. Atmos Environ 2011; 45: 275-88. [http://dx.doi.org/10.1016/j.atmosenv.2010.09.048] , 24Almeida SM, Canha N, Silva A, et al. Children exposure to atmospheric particles in indoor of Lisbonprimary schools. Atmos Environ 2011; 45(40): 7594-9. [http://dx.doi.org/10.1016/j.atmosenv.2010.11.052] ]. There were several factors related to the outdoor source of PM2,5, i.e., location, weather condition, humidity, chemical and physical characteristics of pollutants, building characteristics, frequency of window opening, building inhabitants, and human activities [25Gulliver J, Briggs DJ. Personal exposure to particulate air pollution in transport microenvironments. Atmos Environ 2004; 38: 1-8. [http://dx.doi.org/10.1016/j.atmosenv.2003.09.036] , 26Morawska L, Afshari A, Bae GN, et al. Indoor aerosols: from personal exposure to risk assessment. Indoor Air 2013; 23(6): 462-87. [http://dx.doi.org/10.1111/ina.12044] [PMID: 23574389] ]. We found that the PM2,5indoor concentration was higher than 35 µg/m3, exceeding the Indonesian national air quality threshold in three schools [27Peraturan Menteri Kesehatan Republik Indonesia Nomor 1077/Menkes/Per/V/2011 tentang Pedoman Penyehatan Udara dalam Ruang Rumah 2011.]. We also found that most of the outdoor PM2,5concentration in those schools was higher than 65 µg/m3, also exceeding the Indonesian national air quality threshold [28Pemerintah Republik Indonesia. Peraturan Pemerintah Nomor 41 Tahun 1999 tentang Pengendalian Pencemaran Udara 1999.]. Other studies also showed a high indoor PM2,5concentration compared with the WHO air quality threshold or their national air quality threshold, i.e., (1) Study by Madureira [2Madureira J, Paciencia I, Rufo J, et al. Indoor air quality in schools and its relationship with children’s respiratory symptoms. Atmos Environ 2015; 118: 145-56. [http://dx.doi.org/10.1016/j.atmosenv.2015.07.028] ] in 73 classrooms in Porto showed a PM2,5concentration of 39-244 µg/m3; (2) Study by Asrul and Juliana [5Asrul S. Indoor Air Quality and Its Association with Respiratory Health Among Preschool Children in Urban and Suburban Area. Malays J Public Health Med 2017; 1: 78-88. [Original Article].] in 120 preschool classroom in Puchong and Hulu Langat, Malaysia showed the indoor PM2,5concentration of 48-67 µg/m3; (3) Study by Khamal et al. [29Khamal R, Isa ZMd, Sutan R, Noraini,, Nor MR, Ghazi HF. Indoor Particulate Matters, Microbial Count Assessments, and Wheezing Symptoms among Toddlers in Urban Day Care Centers in the District of Seremban, Malaysia. Annals of Global Health 2019.; 85(1): 1-12. [http://dx.doi.org/10.5334/aogh.2425] ]. in daycare classroom in DistrikSeremban, Negeri Sembilan, Malaysia showed the indoor PM2,5concentration of 69.35 µg/m3. It was observed thatmost of the outdoor source of PM2,5in schools located near the highway was incomplete fuel combustion from the vehicles. Besides that, dust from asphalt road which entered through the ventilation and students’ activity can also contribute to the indoor PM2,5concentration. This study supports the hypothesis of a relationship between the PM2,5 concentration and obstructive pulmonary symptoms on students from three primary schools in West Jakarta. However, our results must be cautiously interpreted since the PM2,5concentration that we have measured was the present indoor exposure, not the individual exposure of each school children. Further research to measure the amount of individual exposure on every child can be done by using a personal dust sampler and measuring the lung function twice (i.e., before and after school) to observe the changes in FEV1/FVC% ratio during school activities.In addition, the limitation of this study is the existence of information bias because respondents were asked to remember the habits of their physical activities during the week. This depended on the ability of respondents to remember and honesty in answering questions.
Our results on the classroom quality, which were obtained by the total number of bacterial colony showed a lower value (13-286 CFU/m3) compared with the national threshold by the Ministry of Health (<700 CFU/m3). Our results also showed lower value compared with another study in DistrikSeremban, Negeri Sembilan, Malaysia, which showed the total bacterial colony of 566,63 CFU/m3 [29Khamal R, Isa ZMd, Sutan R, Noraini,, Nor MR, Ghazi HF. Indoor Particulate Matters, Microbial Count Assessments, and Wheezing Symptoms among Toddlers in Urban Day Care Centers in the District of Seremban, Malaysia. Annals of Global Health 2019.; 85(1): 1-12. [http://dx.doi.org/10.5334/aogh.2425] ]. Our results also showed that the bacterial colony was not related to the pulmonary function. A possible explanation for our low number of bacterial colonies was due to the fact that the study was done during the dry season period, where the condition was not favorable for bacterial growth. Several researches showed that even a healthy lung was not free from the risk of airborne bacterial exposure, however, the total bacterial colony exposure inside a healthy human lung was tending to be constant and temporary [30Huffnagle GB, Dickson RP. The bacterial microbiota in inflammatory lung diseases. Clin Immunol 2015; 159(2): 177-82. [http://dx.doi.org/10.1016/j.clim.2015.05.022] [PMID: 26122174] ]. Besides that, the inconsistent relationship between indoor bacterial exposure with health conditions can also be affected by the variation and design of the research, sampling method, analysis method, seasonal variation during the sampling, areas of sampling, and indoor activities [2Madureira J, Paciencia I, Rufo J, et al. Indoor air quality in schools and its relationship with children’s respiratory symptoms. Atmos Environ 2015; 118: 145-56. [http://dx.doi.org/10.1016/j.atmosenv.2015.07.028] ]. The indoor bacterial colonies’ concentration count can only reflect a short term of the actual concentration since inhabitants and their indoor activities can rapidly affect the indoor microorganism concentration [2Madureira J, Paciencia I, Rufo J, et al. Indoor air quality in schools and its relationship with children’s respiratory symptoms. Atmos Environ 2015; 118: 145-56. [http://dx.doi.org/10.1016/j.atmosenv.2015.07.028] ]. In this study, we found a significant relationship between the total microorganism colony with the classroom temperature (p=0.0001, r=-0.812) and humidity (p=0.0001, r=0.452). The indoor temperature negatively affects the number of microorganisms’ colony, implying that the lower the classroom temperature, higher the bacterial colonies count. The humidity also negatively affects the bacterial colonies: the more humid the classroom, more bacterial colony growth and replicate. The negative effect of the indoor air temperature was also reported by other studies [31Laila F. Analisis terhadap PM10 dan TPC Mikroorganisme Udara dalam Rumah dalam Hubungannya dengan Gangguan Pernapasan pada Bayi dan Balita (Studi di Kelurahan Cisalak Kota Depok Tahun 2003) 2003., 32Hwang SH, Seo S, Yoo Y, Kim KY, Choung JT, Park WM. Indoor air quality of daycare centers in Seoul. Korea Build Environ 2017; 124: 186-93.]. Inside the room, several groups of people, i.e., children, elderly, and people who suffer from respiratory symptoms, allergy, and pulmonary diseases, were more vulnerable to diseases caused by microbiological pollutants [33Widyanareswari A. Kualitas Udara Mikrobiologis Ruang Kelas: Studi Kasus Gedung Perkuliahan A dan K FTUI 2010.-36Kowalski KC, Crocker Peter R E, Donen Rachel M. The Physical Activity Questionnaire for Older Children (PAQ-C) and Adolescents (PAQ-A) Manual 2004 Aug; 87(1): 1-38.]. Indoor microorganisms (i.e., fungi, mold, yeast, house dust mites) can trigger asthma. For instance, Woolcock and Kothen (1990) showed the prevalence of asthma in children in Bali with bronchus hyperactivity was 2.4% and pulmonary symptoms of 0.7% [21Asma: Pedoman Diagnosis dan Penatalaksaan di Indonesia 2003.]. Asthma is one of the respiratory tract symptoms due to the chronic inflammation which caused bronchus hyperactivity to several stimuli, such as air pollution [15Direktorat Jenderal Pengendalian Penyakit dan Penyehatan Lingkungan Direktorat Pengendalian Penyakit Tidak Menular 2009., 16Luh P. Ekarini, Ni. Analisis Faktor-faktor Pemicu Dominan terjadinya Serangan Asma pada Pasien Asma 2012.].
In further research, it is recommended to measure PM2.5 concentration and total concentration of bacterial colonies in a room with lung function using a cohort study to determine the decline in lung function of elementary school students. In primary schools, healthy school programs can be improved, one of which is to work closely with environmental agencies related to air pollution control in schools by measuring air pollution to determine the level of risk of exposure generated in the school area. Our data also can be used as the baseline scientific information for updating the regulation in air pollution and heath implication in a big city such as in Jakarta.
Based on our results, we conclude that there was a significant relationship between the PM2,5concentration and obstructive pulmonary symptoms and there was no significant relationship between the numbers of the bacterial colonies with pulmonary symptoms.
ETHICS APPROVAL AND CONSENT TO PARTICIPATE
This study was approved by the Research and Community
Engagement Ethical Committee, Faculty of Public Health, Universitas Indonesia, Indonesia Number: Ket-285/UN2.F10/ PPM.00.02/ 2019.
HUMAN AND ANIMAL RIGHTS
CONSENT FOR PUBLICATION
AVAILABILITY OF DATA AND MATERIALS
This research was conducted with the support of the International Indexed Publication Grants for Final Project Students in Universitas Indonesia (Hibah PITTA B Universitas Indonesia), Fiscal Year 2019 (No. NKB-0586 / UN2.R3.1 / HKP.05.00 / 2019).
CONFLICT OF INTEREST
The authors declare no conflict of interest, financial or otherwise.
We also thank the management of the schools as well as respondent’s parents for their full cooperation and their children who had voluntarily participated in this study.
Wulansari A, Sarto, Saleh YD. Kualitas Udara Ambien dan Fungsi Paru Siswa Sekolah Dasar di Yogyakarta. BKM J Community Med Public Health 2016.; 32(3): 83-8.
Brugge D. Durant, John L., Rioux, C. 2007. Near highway pollutants in motor vehicle exhaust: A review of epidemiologic evidence of cardiac and pulmonary health risk. Environ Health 2007; 6: 23. [http://dx.doi.org/10.1186/1476-069X-6-23] [PMID: 17688699]
Asma: Pedoman Diagnosis dan Penatalaksaan di Indonesia 2003.
Alsagaff H, Mangunnegoro H, Amin M, Yunus F, Bernstein RS, Johnson L. Nilai normal faal paru orang indonesia pada usia sekolah dan pekerja dewasa berdasarkan rekomendasi American Thoraric Society (ATS) 1987 1992.
Peraturan Menteri Kesehatan Republik Indonesia Nomor 1077/Menkes/Per/V/2011 tentang Pedoman Penyehatan Udara dalam Ruang Rumah 2011.
Pemerintah Republik Indonesia. Peraturan Pemerintah Nomor 41 Tahun 1999 tentang Pengendalian Pencemaran Udara 1999.
Khamal R, Isa ZMd, Sutan R, Noraini,, Nor MR, Ghazi HF. Indoor Particulate Matters, Microbial Count Assessments, and Wheezing Symptoms among Toddlers in Urban Day Care Centers in the District of Seremban, Malaysia. Annals of Global Health 2019.; 85(1): 1-12. [http://dx.doi.org/10.5334/aogh.2425]