IMPACT OF AIR POLLUTION WITH PM10 ON PRIMARY HEALTH CARE CONSULTATIONS FOR RESPIRATORY DISEASES IN CHILDREN IN ZASAVJE, SLOVENIA: A TIME-TREND STUDY VPLIV ONESNAŽENOSTI ZRAKA S PRAŠNIMI DELCI PM10 NA ŠTEVILO OBISKOV V PRIMARNEM ZDRAVSTVENEM VARS TVU ZARADI BOLEZNI DIHAL PRI OTROCIH V ZASAVJU: ŠTUDIJA ČASOVNEGA TRENDA Andreja Kukec1, Ivan Erzen12, Jerneja Farkas13, Lijana Zaletel Kragelj1 Prispelo: 12. 2. 2013 - Sprejeto: 26. 6. 2013 Original scientific article UDC 616.2-053.2:504.5(497.4 Zasavje) Abstract Aim: The aim of our study was to assess the temporal association between the number of consultations in the primary health care unit due to respiratory diseases in children and the level of particular matter of 10 micrometres in diameter (PM10) pollution in the Zasavje region. Methods: A time-trend ecological study was carried out for the period between 1 January 2006 and 31 December 2011. The daily number of first consultations for respiratory diseases among children in the Zasavje region was observed as the outcome. Poisson regression analysis was used to investigate the association between the observed outcome and the daily PM10 concentrations, adjusted to other covariates. Results: The results showed that the daily number of first consultations were highly significantly associated with the daily concentrations of PM10 in the Zagorje (p<0.001) and Trbovlje (p<0.001) municipalities. In the Hrastnik municipality, a significant association was not observed in all models. Conclusions: It can be concluded that evidence of association between the daily PM10 concentration and the daily number of first consultations for respiratory diseases among children exists, indicating that there is still a need for public health activities in the sense of reduction of harmful environmental factors in the region. Additionally, on the basis of these results, it can be assumed that with some improvements linkage of existing health and environmental data in Slovenia in general could be feasible in identifying a grounded need for future public health action. Key words: outdoor air pollution, PM10, respiratory diseases, children, the Zasavje region, time-trend study Izvirni znanstveni članek UDK 616.2-053.2:504.5(497.4 Zasavje) Izvleček Namen: Namen študije je bil oceniti časovno povezanost med številom obiskov v primarnem zdravstvenem varstvu zaradi bolezni dihal pri otrocih in prašnimi delci premera 10 mikrometrov (PM10) v Zasavju. Metode: Ekološka študija časovnega trenda je bila izvedena za obdobje od 1. januarja 2006 do 31. decembra 2011. Opazovani izid je bil dnevno število prvih obiskov zaradi bolezni dihal pri otrocih v Zasavju. Za oceno povezanosti med opazovanim izidom in dnevnimi koncentracijami PM10, standardizirano na preostale pojasnjevalne dejavnike, je bila uporabljena Poissonova regresijska analiza. Rezultati: Rezultati so pokazali močno statistično povezanost med dnevnim številom prvih obiskov in dnevnimi koncentracijami PM10 v občinah Zagorje (p < 0,001) in Trbovlje (p < 0,001). V občini Hrastnik nismo opazili značilne povezanosti pri vseh modelih. Zaključek: Sklenemo lahko, da v Zasavju obstaja povezanost med boleznimi dihal pri otrocih in koncentracijo PM10, kar kaže na to, da je v tej slovenski regiji še vedno prisotna potreba po javnozdravstvenih ukrepih v smislu 1 University of Ljubljana, Faculty of Medicine, Public Health Centre, Zaloška 4, 1000 Ljubljana, Slovenia 2National Institute of Public Health, Trubarjeva 2, 1000 Ljubljana, Slovenia 3University Clinic of Respiratory and Allergic Diseases Golnik, Golnik 36, 4204 Golnik, Slovenia Correspondence to: e-mail: lijana.kragelj@mf.uni-lj.sii zmanjševanja škodljivih okoljskih dejavnikov. Dodatno lahko na podlagi rezultatov študije sklepamo, da bi bilo lahko v prihodnje v Sloveniji povezovanje okoljskih in zdravstvenih podatkov z nekaterimi izboljšavami uporabno pri ocenjevanju utemeljenih potreb za javnozdravstveno ukrepanje. Ključne besede: onesnaženost zunanjega zraka, PM10, bolezni dihal, otroci, Zasavje, študija časovnih trendov 1 INTRODUCTION Given the scale and widespread distribution of outdoor air pollution, this negative health determinant is considered as one of the major public health concerns of today (1-8). It has been proven to be associated with a variety of adverse health outcomes, however most of the recent evidence focuses mainly on respiratory and cardiovascular effects (1, 6, 8-15). The most susceptible population group to respiratory effects of air pollution is children (16-18). One of the most important reasons is that children have a larger lung surface area per kilogram of body weight than adults and, under normal breathing, breathe in 50% more air per kilogram of body weight than adults. The other is that they have increased exposure to many air pollutants because of higher minute ventilation and higher levels of outdoor physical activity (16-20). A variety of pollutants can be found in the outdoor air, however one of the most important is particulate matter (PM) of 10 micrometres in diameter (PM10). It can penetrate deep into the bronchial tree and trigger respiratory symptoms. Several studies have consistently demonstrated an association between emergency department visits or hospital admissions due to respiratory diseases and concentration of PM10 (1, 6, 8). In the last decade, many studies have applied time-series methods to study the association between air pollution with PM10 and its health effects (21-23). These studies mostly rely on routinely available outdoor air pollution and health registry data (24). Many of them have indicated a positive association between a short-term variation in outdoor levels of PM10 and daily frequencies of events (e.g. primary health care visits, hospital admissions, deaths) for respiratory diseases (1, 4-6, 8). In regards to air pollution, Slovenia is no exception. One of the most polluted areas in the country is the Zasavje region (or Zasavje) (Figure 1), which is located in the central part of the country and consists of municipalities Zagorje ob Savi (or Zagorje), Trbovlje and Hrastnik (Figure 2) (25, 26). In this region, there are three narrow valleys located more or less perpendicular to the larger Sava river valley. The main characteristics of Zasavje are coal mines and various different kinds of heavy industry (cement, glass, chemical, etc.) (Figure 2) that were established in Zasavje in the past. Among others, one of the biggest steam power plants in Slovenia is located there, having the highest chimney in Europe (25). This is due to the proximity to the source of energy and the fact that the Sava river valley with the railway line for decades represented one of main transport pathways of Slovenia. Most industrial plants considered as the largest emitters in the region are situated in the Sava river valley or at the intersection of the Zagorje, Trbovlje and Hrastnik valleys and the Sava river valley (Figure 2). Ever since the establishment, this industry has had a huge impact on the outdoor air pollution. The most important pollution in the past has been due to sulphur dioxide (SO2) and PM10. However, according to the report of the Slovenian Environmental Agency (SEA), the situation in SO2 has greatly improved, and the national legally defined maximum values are exceeded only occasionally, while measurements of PM10 and ozone (O3) levels show that they constantly exceed the national legally defined maximum values at the existing monitoring stations in Zasavje (26, 27). On the bottoms of the valleys, the temperature inversions are also frequently present in winter and autumn. Unfortunately, only few studies have studied the association between outdoor air pollution and the health of the Zasavje population in the past (28, 29). In the last few years, there have been some new studies carried out. The first study was the study of Eržen et al. (30), which indicated the association between the level of outdoor air pollution and prevalence of chronic respiratory diseases in the Zagorje municipality by using a rough assessment of level of pollution in different parts of the municipality. In the study of Kukec et al. (31), researchers upgraded these research methods with multivariate statistical analyses in all three municipalities in the Zasavje. However, further research is needed in order to bring up evidence to prove the health impact due to the environmental factors. HUNGARY AUSTRIA N^tiAT^K^ ZASAV. ITALY CROATIA Figure 1. Location of the Zasavje region in Slovenia. Slika 1. Lokacija regije Zasavje v Sloveniji. Figure 2. Zasavje region, Slovenia, map with locations of main point sources of outdoor airpollution in the region. Legend: ® = Zagorje municipality; © = Trbovlje municipality; ® = Hrastnik municipality; • = location of cement, steam power, chemical, and glass plants; ▲ = location of environmental and meteorological data measuring stations;■ = houses/settlements (font size of the settlement name indicate the rough size of the settlement). Slika 2. Lokacija najpomebnejših točkovnih virov onesnaževanja zunanjega zraka v regiji Zasavje, Slovenija. Legenda: ® = občina Zagorje; © = občina Trbovlje; ® = občina Hrastnik; • = lokacija kemične in cementne industrije, termoelektrarne in steklarne; ▲ = lokacija ekoloških in meteoroloških merilnih postaj; ■ = hiše/naselja (velikost črk naselja prikazuje okvirno velikost naselja) The so-called linkage methods for environment and health analysis were proposed more than a decade ago by the World Health Organization (WHO) (24, 32). They belong to a wider group of epidemiological methods called ecological studies - a study design in which the relationships between environment and health are studied on population level, by analysing spatial and/ or temporal variations in exposure and health outcome (33-35). The aim of our study was to assess the feasibility of linkage of existing health and environmental data in Zasavje in identifying a grounded need for public health action. The specific goal of the study was to assess the temporal association between the number of consultations in primary health care units due to respiratory diseases in children and the level of PM10 pollution in Zasavje. The hypothesis was that a positive temporal relationship between the daily number of first consultations for respiratory diseases and the daily concentration of PM10 exists in the municipalities of Zasavje. The study was part of larger project that was performed at the Chair of Public Health, Faculty of Medicine, University of Ljubljana in collaboration with environmental and health experts (36). 2 METHODS 2.1 Study design and study population The study design was an ecological time-trend study (34). The unit of observation was a single day of the observed period. The study population consisted of all children, aged 1-11 years, residing permanently in Zasavje, who visited the Community Health Centres in (CHC) Zagorje, Trbovlje or Hrastnik due to selected respiratory diseases between 1 January 2006 and 31 December 2011 (37). Altogether, 2,191 days were observed (365 in the years 2006, 2007, 2009, 2010 and 2011 and 366 in the year 2008). 2.2 Data acquisition 2.2.1 Health data Routinely collected health data were obtained from the health information systems of the CHCs of Zagorje, Trbovlje and Hrastnik. Daily numbers of first consultations due to the following diagnoses according to the WHO International Classification of Diseases, version 10 (ICD-10), were obtained: J00-J06 (acute upper respiratory tract infection), J10-J18 (influenza and pneumonia), J20-J22 (other acute lower respiratory tract infection), J30-J32 (other diseases of upper respiratory tract) and J40-J46 (chronic lower respiratory tract disease). 2.2.2 Environmental data Immission data on daily PM10 concentrations could be obtained at three fixed measuring stations in Zasavje, located in Zagorje, Trbovlje and Hrastnik (Figure 2), which are a part of the National automated network for monitoring air quality operated by SEA. In Zagorje and Trbovlje, the data could be obtained for the entire observation period, while in Hrastnik PM10 measurements were only just started on 1 January 2010. Consequently, the observed period in Hrastnik only lasted between 1 January 2010 and 31 December 2011. Immission data on other important outdoor air pollutants (co-pollutants) in Zasavje: SO2, O3 and nitrogen dioxide (NO2), were obtained as well. Data on daily SO2 and O3 concentrations could be obtained at all the measuring stations for the entire observation period, while data on daily NO2 concentration were only available at the Trbovlje measuring station. Daily data on meteorological factors: air temperature and relative humidity, could be obtained at all the measuring stations for the entire observation period. 2.2.3 Data on seasonal factors In the analysis, the following seasonal factors were considered: season of the year (spring, summer, autumn, winter), work day (yes/no), holiday (yes/no) and influenza season (yes/no). Data on influenza season were obtained from annual reports (Epidemiological surveillance of communicable diseases in Slovenia) of the National Institute of Public Health of the Republic of Slovenia (38). 2.3 Statistical analysis 2.3.1 Data description The distributions of health and environmental data were statistically described by non-parametric typical statistical values (mean, standard deviation, minimum, maximum, 1st, 2nd and 3rd quartile). The temporal patterns of health and environmental data were presented by using sequence plots (33, 34). 2.3.2 Relationship analysis In the relationship analysis, the daily number of first consultations for all respiratory diseases was considered as the observed outcome, daily concentration of PM10 (24-hr average PM10 concentration) as the explanatory factor and co-pollutants (24-hr average SO2 concentration, 8-hr maximum average O3 concentration), and 24-hr average NO2 concentration), meteorological and seasonal factors were considered as covariates. In all pollutants, like in other similar studies (11, 39-44), lags from zero up to five days from exposure to the consultation day (lag 0, lag 1, lag 2, lag 3, lag 4 and lag 5 days respectively) were examined to determine the amount of time between exposure and effect. The association between the observed outcome, explanatory factor and covariates was analysed using Poisson regression models (45, 46). The modelling procedure was performed in three stages. In the first stage, univariate models for lags 0-5 days were built by relating the observed outcome to only the explanatory factor. In the second stage, single-pollutant models for lags 0-5 days were built by adding the explanatory factor to a core covariate model that included seasonal (season of the year, work day/ weekend day, holiday/non-holiday day and influenza season) and meteorological factors (air temperature and relative humidity). In this stage, the best lags for the explanatory factor and co-pollutants were defined. In the third stage, multi-pollutant models were built by including best lags of the explanatory factor and co-pollutants along with the meteorological and seasonal factors. In order to achieve comparability of results for the Zagorje and Trbovlje municipalities, multi-pollutant models that only included SO2 and O3 as co-pollutants were built first. Afterwards, an additional model that included SO2, O3 and NO2 was defined only for the Trbovlje municipality. The multi-pollutant model for the Hrastnik municipality was not defined due to the short observation time. The interpretable end result was the incidence rate ratio (IRR) (47). It was presented together with its 95% confidence interval (CI). P-value of 0.05 or less was considered as statistically significant in all the statistical tests. All statistical analyses were carried out by using SPSS 18.0 software (SPSS Inc., Chicago, IL, USA). The study protocol was approved by the National Medical Ethics Committee of the Republic of Slovenia. 3 RESULTS 3.1 Data description Complete health data were available at all three Zasavje CHCs for all 2,191 days of the study period. In the Zagorje municipality, there were 128/2,191 (5.8%) days with no first consultations for all respiratory diseases, and in the municipalities of Trbovlje and Hrastnik, there were 577/2,191 (26.3%) and 685/2,191 (31.3%) such days respectively. A statistical description of the distribution of the daily number of first consultations for all respiratory diseases is presented in Table 1. Temporal patterns of the daily number of first consultations for the observed outcome are presented in Figures 3a, 4a, and 5a. In all three municipalities, the observed outcome was the highest in winter months (from December to February). Table 1. Descriptive statistics for the daily number of first consultations for respiratory diseases among children and environmental data in the Zasavje region, Slovenia, for 2,191 days between January 1,2006and December 31,2011. Tabela 1. Opisna statistika dnevnega števila pivih obiskov zaradi bolezni dihal pri otrocih in okoljskih podatkov v regiji Zasavje, Slovenija, za 2.191 dni med 1. januarjem 2006 in 31. decembrom 2011. Typical value/Tipična vrednost Mean SD Min Q, Q Q 2 3 Povprečje SD Min Q. Q Q 2 3 Max Max Zagorje municipality/Občina Zagorje Number of consultations due to respiratory diseases 4.99 4.0 Število obiskov zaradi bolezni dihal PM10 24-hr average concentration (|jg/m3) 40.3 23.9 PM10 24-urna povprečna koncentracija (jg/m3) SO2 24-hr average concentration (jg/m3) 5.8 4.6 SO2 24-urna povprečna koncentracija (jg/m3) O3 maximum 8-hr average concentration (jg/m3) 59.6 31.1 O3 maksimalna 8-urna povprečna koncentracija (jg/m3) Temperature 24-hr average (°C) 11.4 8.0 24-urna povprečna temperatura (°C) Relative humidity 24-hr average (%) 73.4 14.6 24-urna povprečna relativna vlažnost (%) Trbovlje municipality/Občina Trbovlje Number of consultations due to respiratory diseases 4.91 4.9 Število obiskov zaradi bolezni dihal PM10 24-hr average concentration (jg/m3) 36.3 21.8 PM10 24-urna povprečna koncentracija (jg/m3) SO2 24-hr average concentration (jg/m3) 4.0 4.5 SO2 24-urna povprečna koncentracija (jg/m3) O3 maximum 8-hr average concentration (jg/m3) 67.3 33.6 O3 maksimalna 8-urna povprečna koncentracija (jg/m3) NO2 24-hr average concentration (jg/m3) 20.0 9.1 NO2 24-urna povprečna koncentracija (jg/m3) Temperature 24-hr average (°C) 11.3 8.0 24-urna povprečna temperatura (°C) Relative humidity 24-hr average (%) 76.8 11.7 24-urna povprečna relativna vlažnost (%) Hrastnik municipality/Občina Hrastnik Number of consultations due to respiratory diseases 2.61 3.0 Število obiskov zaradi bolezni dihal PM10 24-hr average concentration (jg/m3) 28.0 16.2 PM10 24-urna povprečna koncentracija (jg/m3) SO2 24-hr average concentration (jg/m3) 5.8 3.9 SO2 24-urna povprečna koncentracija (jg/m3) O3 maximum 8-hr average concentration (jg/m3) 73.5 33.1 O3 maksimalna 8-urna povprečna koncentracija (jg/m3) 0.0 2.0 0.0 -10.2 0.0 -10.5 0.0 0.0 4.0 2.7 5.1 2.0 7.0 29.0 4.3 23.5 33.8 49.6 231.1 7.8 47.0 1.2 34.6 58.9 82.3 149.3 4.9 11.9 18.1 3.0 65.7 75.1 83.9 0.0 0.0 4.0 8.0 1.7 19.6 18.9 25.0 4.9 11.9 17.8 34.2 68.7 77.7 85.7 0.0 3.0 5.0 8.0 28.3 98.4 33.0 1.3 21.2 30.2 46.0 188.6 1.0 3.0 5.6 43.0 1.6 42.5 66.5 91.8 164.0 60.5 27.9 99.2 4.0 23.0 3.1 17.3 23.9 34.7 123.4 44.0 3.8 48.3 72.8 97.0 178.1 Temperature 24-hr average (°C) 11.1 8.0 -10.4 4.8 11.7 17.6 28.1 24-urna povprečna temperatura (°C) Relative humidity 24-hr average (%) 76.2 11.9 34.2 67.9 76.7 85.5 99.9 24-urna povprečna relativna vlažnost (%) Legend/Legenda: SD -standard deviation/sfandardn/ odklon; Q1 - the first quartile/prv/ kvartil; Q2 -the second quartile/drugi kvartil; Q3 -the third quartile/frefy'/ kvartil; Min/Min -minimum/najnižja vrednost; Max/Max-maximun/ najvišja vrednost * = data available only for the period from January 1, 2010 to December 31, 2011/podatki so dostopni le za obdobje od 1. januarja 2010 do 31. decembra 2011 Complete data for the daily concentration of PM10 were available for 2,135/2,191 (97.4%) days in the Zagorje municipality, 1,985/2,191 (90.6%) days in the Trbovlje municipality, and 730/730 (100%) days in the Hrastnik municipality. Statistical description of the distribution of daily PM10 concentration is presented in Table 1. Temporal patterns of daily PM10 concentration at all three measuring stations are presented in Figures 3b, 4b, and 5b. The highest daily PM10 concentrations were observed in the months from November to February at all three measuring stations. Complete data for the daily concentration of SO2 were available for 2,080/2,191 (94.9%) days in the Zagorje municipality, 2,159/2,191 (98.5%) days in the Trbovlje municipality, and 2,132/2,191 (97.3%) days in the Hrastnik municipality. Complete data for the daily concentration of O3 were available for 2,131/2,191 (97.3%) days in the Zagorje municipality, 2,101/2,191 (95.9%) days in the Trbovlje municipality, and 2,120/2,191 (96.7%) days in the Hrastnik municipality. Complete data for the daily concentration of NO2 were available for 2,067/2,191 (94.3%) days in the Trbovlje municipality. Statistical description of the distribution of daily co-pollutants (SO2, O3 and NO2) concentration is presented in Table 1. Complete data for the daily meteorological factors (air temperature and relative humidity) were available for 2,189/2,191 (99.9%) days in the Zagorje municipality, 2,184/2,191 (99.7%) days in the Trbovlje municipality, and 2,170/2,191 (99.0%) days in the Hrastnik municipality. Statistical description of the distribution of daily meteorological factors is presented in Table 1. In the observed period there were in total 541/2,191 (24.7%) winter days, 552/2,191 (25.2%) spring days, 552/2,191 (25.2%) summer days and 546/2,191 (24.9%) autumn days. There were also in total 626/2,191 (28.6%) weekend days and 1,565/2,191 (71.4%) workdays. In the observed period there were in total 1,588/2,191 (72.5%) non-holiday days and 603/2,191 (27.5%) holiday days (school holidays and work-free days). Also, there were in total 1,505/2,191 (68.7%) days without an influenza epidemic and 686/2,191 (31.3%) days with an influenza epidemic. Figure 3. Temporal pattern of: a) daily number of consultations for respiratory diseases in children, and b) daily 24-hr average concentration of PM10 (jg/m3) in the Zagorje municipality, Slovenia, between January 1,2006 and December 31, 2011. Slika 3. Časovno spreminjanje: a) dnevnega števila obiskov zaradi bolezni dihal pri otrocih in b) dnevne 24-urne povprečne koncentracije PM10 (jg/m3) v občini Zagorje, Slovenija, med 1. januarjem 2006 in 31. decembrom 2011. Figure 4. Temporal pattern of: a) daily number of consultations for respiratory diseases in children, and b) daily 24-hr average concentration of PM10 (jg/m3) in the Trbovlje municipality, Slovenia, between January 1,2006 and December 31, 2011. Slika 4. Časovno spreminjanje: a) dnevnega števila obiskov zaradi bolezni dihal pri otrocih in b) dnevne 24-urne povprečne koncentracije PM10 (jg/m3) v občini Trbovlje, Slovenija, med 1. januarjem 2006 in 31. decembrom 2011. Figure 5. Temporal pattern of: a) daily number of consultations for respiratory diseases in children, and b) daily 24-hr average concentration of PM10 (yg/m3) in the Hrastnik municipality, Slovenia, between January 1,2006 and December 31, 2011. Slika 5. Časovno spreminjanje: a) dnevnega števila obiskov zaradi bolezni dihal pri otrocih in b) dnevne 24-urne povprečne koncentracije PM10 (yg/m3) v občini Hrastnik, Slovenija, med 1. januarjem 2006 in 31. decembrom 2011. 3.2 Relationship analysis The results of the univariate analysis showed that the daily number of first consultations for respiratory diseases among children was statistically significantly associated with PM10 concentrations in all three municipalities. In all of them, the strongest association was observed in lag 0 (Zagorje municipality - IRR: 1.007, 95% CI: 1.007-1.008; p<0.001; Trbovlje municipality -IRR: 1.010, 95% CI: 1.009-1.011, p<0.001; Hrastnik municipality - IRR: 1.009, 95% CI: 1.006-1.011; p<0.001). The results of single-pollutant multivariate models once again showed that the daily number of first consultations for respiratory diseases among children in the Zagorje and Trbovlje municipalities was statistically significantly associated with PM10 concentrations. In both municipalities, the strongest association was observed in lag 0 (Zagorje municipality - IRR: 1.003, 95% CI: 1.002-1.004; p<0.001; Trbovlje municipality - IRR: 1.003, 95% CI: 1.001-1.005; p<0.001). In the Hrastnik municipality, the association was no longer significant (IRR: 1.000, 95% CI: 0.995-1.005: p=0.969). The results of the multi-pollutant multivariate models with SO2 and O3 included as co-pollutants showed that daily number of first consultations for respiratory diseases among children was still significantly associated with PM10 concentrations in both the Zagorje and Trbovlje municipalities. The detailed results are presented in Table 2. The results for co-pollutants are presented in the same table as well. In the Trbovlje municipality, the results didn't change much after the inclusion of NO2 as an additional co-pollutant in the model (IRR: 1.004, 95% CI: 1.002-1.006, p=0.001). Table 2. Results of the Poisson regression analysis of association between consultations for respiratory diseases and PM10 concentration, controlling for selected covariates between January 1,2006and December 31, 2011 in the Zasavje region, Slovenia (N' 7 =1.996); (N^ Th ,.=1.927). ' J & ' \ days Zagorje '' 1 days Trbovlje ' Tabela 2. Rezultati Poissonove regresijske analize povezanosti med obiski zaradi bolezni dihal in PM10 standardizirano na izbrane pojasnjevalne dejavnike med 1. januarjem 2006 in 31. decembrom 2011 v regiji Zasavje, Slovenija (N.. 7 =1.996); (N^.Trh ,. =1.927). ^J dni Zagoije '' 1 dni Tbovje ' Explanatory factor/Covariates 95% CI limits for IRR Pojasnjevalni dejavnik/Sopojavi 95% IZ za RIS IRR Lower Upper p RIS Spodnji Zgornji P Zagorje municipality/Ofocina Zagorje PM10 24-hr average concentration (|jg/m3) 1.003 1.002 1.004 <0.001 PM10 24-urna povprečna koncentracija (jg/m3) SO2 24-hr average concentration (jg/m3) 0.983 0.976 0.989 <0.001 SO2 24-urna povprečna koncentracija (jg/m3) O3 maximum 8-hr average concentration (jg/m3) 1.002 1.001 1.004 0.003 O3 maksimalna 8-urna povprečna koncentracija (jg/m3) Temperature 24-hr average (°C) 0.998 0.991 1.005 0.633 24-urna povprečna temperatura (°C) Relative humidity 24-hr average (%) 1.003 1.001 1.005 0.014 24-urna povprečna relativna vlažnost (%) Season of the year Summer/Poletje 1.000 Letni čas Winter/Z/ma 1.732 1.478 2.030 <0.001 Spring/Pom/ad 1.111 1.039 1.188 0.002 Autumn/Jesen 1.092 1.057 1.128 <0.001 Work day No/Ne 1.000 Delovni dan Yes/Da 2.297 2.125 2.486 <0.001 Holiday No/Ne 1.000 Počitnice Yes/Da 0.739 0.674 0.809 <0.001 Influenza season No/Ne 1.000 Sezona gripe Yes/Da 1.260 1.160 1.369 <0.001 Trbovlje municipality/Ofocina Trbovlje PM10 24-hr average concentration (jg/m3) 1.004 1.002 1.006 <0.001 PM10 24-urna povprečna koncentracija (jg/m3) SO2 24-hr average concentration (jg/m3) 0.986 0.977 0.995 0.002 SO2 24-urna povprečna koncentracija (jg/m3) O3 maximum 8-hr average concentration (jg/m3) 0.998 0.996 1.001 0.180 O3 maksimalna 8-urna povprečna koncentracija (jg/m3) Temperature 24-hr average (°C) 1.004 0.995 1.014 0.370 24-urna povprečna temperatura (°C) Relative humidity 24-hr average (%) 0.996 0.992 1.001 0.132 24-urna povprečna relativna vlažnost (%) Season of the year Summer/Poletje 1.000 Letni čas Winter/Z/ma 1.805 1.474 2.212 <0.001 Spring/Pom/ad 1.207 1.107 1.316 <0.001 Autumn/Jesen 1.100 1.054 1.148 <0.001 Work day No/Ne 1.000 Delovni dan Yes/Da 5.103 4.436 5.903 <0.001 Holiday No/Ne 1.000 Počitnice Yes/Da 0.641 0.566 0.724 <0.001 Influenza season No/Ne 1.000 Sezona gripe Yes/Da 1.148 1.032 1.278 0.012 Abbreviations/okrajšave: IRR/RIS - incident rate ratio/razmerje incidenčnih stopenj; CI/IZ - confidence interval/ interval zaupanja; N - number of days/število dni 4 DISCUSSION The main results of our study have consistently showed that in the Zagorje and Trbovlje municipalities the daily number of first consultations for respiratory diseases among children was significantly associated with the daily concentration of PM10. Only in the Hrastnik municipality was a significant association not observed in all models. This result is clearly in relation to the much shorter time series in this municipality compared to the other two municipalities in Zasavje. The hypothesis that a positive temporal relationship exists between the daily number of first consultations for respiratory diseases and the daily concentration of PM10 was thus certainly confirmed in the Zagorje and Trbovlje municipalities. Moreover, these results are consistent with the results of many similar studies (23, 48-50) that also confirmed the positive association between respiratory diseases and PM10 concentration. Our study, in addition to the main results, also provides some additional findings. For example, in the Zagorje municipality, the daily number of first consultations for respiratory diseases among children was also significantly associated with the daily O3 concentrations. Since the dynamics of this pollutant differ from the PM10 dynamics, it would be useful to analyse this problem in depth in a separate study. Our study has some potential limitations. First, when assessing the usefulness of environmental data for Zasavje as the input data for time-trend studies, we encountered some problems. The results of our study namely showed that all observed pollutants lacked a certain percentage of the measurement. The SEA provided an oral explanation that this was mainly due to the calibration of instruments or filter blockage of the measuring device but certainly not a deliberate shutdown of instrumentation. For the present study, the biggest problem was the lack of PM10 data in the Hrastnik municipality. In this municipality, SEA only started with continuous measurements of 24-hr concentrations of PM10 from 2010 onwards (26), however it is still not clear whether or not the measurements will continue to be implemented in the future (51-53). An additional problem related to PM10 measurements, which must be stressed at this point, is that for now in Slovenia only concentrations of PM10 are routinely measured, while concentration of PM25 are only measured at three locations (Biotechnical Faculty, Ljubljana, Maribor and Maribor centre Vrbanski plateau) (26). Furthermore, the chemical composition of PM10 is provided only in individual cases (27). However, these data are crucial for unbiased estimates of the health impact due to the environmental factors. PM10 can vary significantly and thus also have different effects on human health. Second, we have to take into account the potential problem with health data that was observed in the larger project that our study was a part of (36). In this project, the usefulness of health data for Zasavje as input data for time-trend studies was assessed, and some potential problems were encountered (36). On one side, there were no problems with the completeness of data collection - at all Zasavje CHCs, data for all days of the observed 6-year period were available. On the other side, certain ambiguities related to the outcome variable were encountered. In the Zagorje municipality, compared to the Trbovlje or Hrastnik municipalities, 1.3 to 1.4 times higher numbers of days were detected with at least one consultation due to respiratory diseases, among which acute respiratory diseases dominated (36). The project assumed that there may be a difference in the encoding of individual diagnoses. However, this problem could only be confirmed if time-trend studies of larger dimensions would be carried out in Slovenia. According to our knowledge, only two studies similar to ours were carried out in Slovenia so far. In both, the researchers observed the association between O3 concentrations and the number of consultations due to respiratory diseases at CHCs. The first was carried out in the Nova Gorica (54, 55) and the second one in the Koper municipality (56). In both studies, only the data obtained at one CHC were analysed. As a result, the problems that surfaced in our study could not be observed. Third, a potential limitation could be that in our study the association between the observed outcome and explanatory factors was adjusted for covariates that were available in the frame of routinely collected data by SEA in Zasavje. However, we considered most of the generally recommended covariates in similar studies (50, 57, 58). Unfortunately, we could not take confounding factors such as the concentration of pollen into account, because the concentration of pollen is not monitored in the Zasavje region. On the other hand, this study has several strengths. First, it is still one of the first and few such studies that actually need to become routine in monitoring the health of the population in relation to air pollution. Second, the results of the study indicate a positive association between PM10 concentration and the daily number of first consultations for all respiratory diseases among children in Zasavje. Consequently, the study provides important information for further work in the field of public health activities, especially the implementation of environmental health promotion activities in the region. While there has been much done in the Zasavje region in recent years in the sense of reduction of some air pollutants (for example installation of filter systems to reduce SO2 emissions in the local cement and steam power plants), some problems still remain. The biggest problem at the moment is certainly the outdoor air pollution with PM10, but the results of our study also indicate a problem of the outdoor air pollution with O3. Here, new problems related to the chemical composition of PM10, in which a lot of invisible hazards could be hidden, are posing along the old problems related to PM10 concentrations. Another important strength of our study is that it showed important deficiencies in the currently available input data for studies that integrate routinely collected health and environmental data in Slovenia. These deficiencies could be eliminated to a large extent and consequently make these kinds of studies in Slovenia more viable and useful in the field of health policy (59). All issues arising during our study represent a new challenge for future research in the field of linkage of environmental and health data in Slovenia. Since this kind of research is in the beginning stages, there is a lot that has to be done. Although we now have some knowledge in the use of linkage methods for environment and health (24, 32), we first need to make the routinely collected data in both information systems - health and environment - more reliable. Although there will be a lot of difficulties in solving these problems, especially since changes in legislation should be addressed in this process, they are not unsolvable. Certainly, the multidisciplinary approach would be the most appropriate and successful. 5 CONCLUSIONS In conclusion, we found positive correlation between concentrations of PM10 and the daily number of first consultations for all respiratory diseases among children in the Zagorje and Trbovlje municipalities. 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