The relationship between the worsening of air quality during the colder season of the year and respiratory health problems among the exposed population in many countries located in cold climates has been well documented in numerous studies. Silesian Voivodeship, a region located in southern Poland, is one of the most polluted regions in Europe. The aim of this study was to assess the relationship between daily concentration of particulate matter (PM: PM2.5 and PM10) in ambient air and exacerbations of respiratory diseases during the period from 1 January 2016 to 31 August 2017 in the central agglomeration area of Silesian Voivodeship. The study results confirmed a significant increase of daily fine particulate matter concentration in ambient air during the cold season in Silesian Voivodeship with a simultaneous increase of the number of outpatient visits and hospitalizations due to respiratory diseases. The moving average concentration was better suited for the modelling of biological response as a result of PM2.5 or PM10 exposure than the temporal lag of health effects. Each increase of dose expressed in the form of moving average concentration over a longer time leads to an increase in the daily number of respiratory effects. The highest risk of hospitalization due to respiratory diseases was related to longer exposure of PM expressed by two to four weeks of exposure; outpatient visits was related to a shorter exposure duration of 3 days.

Objectives: Published reports suggest that some adverse health impact may be related to noise exposure, and motor vehicle traffic is considered to be the main source of environmental hazard of noise. The aim of this study has been to assess an association between occurrence of sleep and attention disorders with exposure to the noise generated by motor vehicle traffic in the case of a large group of children living in an urban environment. Material and Methods: The data was obtained using a cross sectional study design in Bytom (Silesia, Poland) from 2003-2007 for a selected group of 7-14 year olds (N = 5136). The geographic information system was used for assessing the exposure to noise generated by the motor vehicle traffic. The association between occurrences of sleep disturbances or attention disorders and exposure to the traffic noise was examined by means of multivariable logistic regression. Results: Sleep disturbances and attention disorders were found to be statistically significantly associated with exposure to the traffic noise. The multivariable logistic regression results suggest that sleep disturbances and attention disorders were more likely to occur in the case of children living in the area with higher traffic density, the odds ratio (OR) = 1.44 (95% confidence interval (CI): 1.05-1.97) and 1.38 (95% CI: 1.03-1.86), respectively. Conclusions: The results of the study have confirmed that the exposure to the traffic noise could be a significant risk factor for sleep disturbances and attention disorders among children. Int J Occup Med Environ Health 2017;30(3):511-520

Objective: A number of studies show an association between traffic-related air pollution and adverse respiratory health effects in children. However, most evidence relates to the regions with low or moderate levels of ambient air pollution. The study was undertaken to assess the impact of traffic-related air pollution on respiratory health status in children living in the area of high levels of industrial and municipal ambient air pollution. Materials and Methods: Analyses involved data obtained from cross-sectional study on respiratory health in children (N = 5733), conducted between 2003-2004 in Bytom, one of the largest cities of Silesian Metropolis (Poland). Exposure to traffic-related air pollution was assessed by means of geographic information system and expressed as several measures of potential exposure to traffic-related air pollution, involving residential distance to major road and traffic density in the residential area. Logistic regression was used to examine association between reported respiratory health and traffic measures. Results: Statistically significant association was found between doctor-diagnosed asthma and residential proximity to traffic. Results of multivariate logistic regression (logOR; 95%CI) confirmed the effect of living in an area of a city with high-traffic-density on childhood asthma: 1.60 (1.07-2.39). Similar effects were found in case of allergic rhinitis and rhinitis symptoms, but the observed associations were not statistically significant. Conclusion: The study findings suggest that even in an area with poor regional ambient air quality, adverse respiratory health outcomes are more frequent in children living in a proximity to the high vehicle traffic flow.

Introduction. The association between changes in magnetic resonance imaging (MRI) and clinical symptoms in patients with low back pain (LBP) is unclear. Aim. To evaluate correlations between combined MRI findings of the lumbar spine (LS) and pain intensity, depressive and anxiety symptoms and quality of life in patients with LBP. Material and methods. 200 subjects (93 men and 107 women; mean age 51.42 ± 13.21 years) with LBP referred for MRI were enrolled in the study. All patients completed the Hospital Anxiety and Depression Scale (HADS), Quality of Life Scales (EQ-5D, EQ-VAS) and the Visual Analogue Scale (VAS). MRI scans were assessed according to a scoring system prepared by the authors, and the total MRI score was calculated. Results. The mean total MRI score was 11.59 ± 6.73 points (range 0-50 points) and was higher in men than in women (p = 0.015). A correlation was observed between total MRI score and age (p < 0.001) and between total MRI score and BMI (p = 0.005). An association was found between total MRI score and EQ-5D (p = 0.012) and HADS-D results (p = 0.003). VAS and HADS-A results did not correlate with MRI score. When multivariate analysis was done, the total MRI score was only significantly related to age and BMI, and association between the total MRI score and EQ-5D or HADS-D results was not confirmed. Decreased quality of life was associated with increased intensity of pain and depressive and anxiety symptoms. Conclusions. Combined MRI changes in LS do not correlate with pain intensity, depressive and anxiety syndromes or quality of life in patients with LBP.

Objectives: This study explores the association between self-reported exposure to traffic-related air pollution and respiratory health symptoms, as well as lung functions and skin prick tests in adolescents living in the vicinity of main roads. Material and Methods: The data in the study were acquired using a cross-sectional study conducted between 2004-2005 in Chorzów (Silesia, Poland) among adolescents (N = 936) aged 13-15 years, attending junior high schools. Adverse respiratory health symptoms and exposure to traffic-related air pollution were determined on the basis of a questionnaire. Moreover, all children underwent spirometry and skin prick tests. Multivariable logistic regression with multiple imputation for missing data was used to assess the prevalence of adverse respiratory symptoms in relation to self-reported exposure to traffic-related air pollution, adjusted for socioeconomic and environmental factors. Results: Among respiratory tract diseases, asthma and allergic rhinitis associations were statistically significant (OR = 2.16, 95% CI: 1.12-4.15 and OR = 1.69, 95% CI: 1.08-2.64, respectively). Likewise, among respiratory disorders, statistically significant associations were found in the case of wheezes and dyspnea attack (OR = 1.58, 95% CI: 1.10-2.26 and OR = 2.39, 95% CI: 1.56-3.66, respectively), with respect to the vicinity of the main road. Living in the area with high traffic intensity was statistically significantly associated with a higher prevalence of asthma and wheezes (OR = 2.31, 95% CI: 1.22-4.39 and 1.48, 95% CI: 1.09-2.01, respectively). The results obtained did not confirm the relationship between the adopted way of exposure to traffic-related air pollution and lung function indices or skin prick tests. Conclusions: Results of the study suggest that children living in the area with intense traffic are more likely to develop respiratory disorders. Moreover, the vicinity of a main road as well as traffic intensity could be suitable in assessing the relationship between road transport and potential health problems among exposed inhabitants. Int J Occup Med Environ Health. 2019;32(4):553 -67