RESUMO
Background: It is widely accepted that concerns have been recently raised regarding the impact of air pollution on the health of children with cystic fibrosis (CF). Air pollution probably affects the exacerbation of CF and its laboratory findings. On the other hand, the World Health Organization (WHO) has asked all countries to update their data and reports on the distribution and prevalence of CF in different areas. The purpose of the present study was to investigate the distribution and prevalence of CF based on the levels of atmospheric pollutants, such as PM10, PM2.5, SO2, NO2, CO, and O3 in 22 zones of Tehran, and to report the abnormal laboratory findings that might indicate the exacerbation of CF. Materials and Methods: The studied statistical population included children with CF referred to Masih Daneshvari Hospital from 2003 to 2020. Demographic data, location of living area, and laboratory findings were extracted from patient records. The geographic information system (GIS) was applied to indicate the distribution and dispersion of the disease. The information related to air pollutants was collected from all stations in Tehran during the studied period by the Department of Environment of Tehran Province, and the average levels were used for final reporting. Results: The analysis results on 287 CF patients demonstrated that the risk of disease exacerbation significantly increased by the presence of air pollutants. In areas with multiple air pollutants, more laboratory findings were observed to be abnormal, and the lower survival rate for patients with CF was recorded. Investigating the CF distribution pattern based on climatic layers and above mean sea level (AMSL) indicated that distribution of the disease was higher in dry areas with lower AMSL and the higher volume of the atmospheric pollutants, which were primarily centralized in southern and central Tehran. Conclusion: Environmental factors, such as air pollution, can be considered vital parameters, along with high-risk factors, such as pure and integrated race, migration, and mutation, influencing the prevalence and exacerbation of CF symptoms. Considering the higher prevalence of CF in deprived areas of Tehran, households' cultural and economic level appears to be a factor in the lack of diagnostic screening and prevention of CF in these areas. On the other hand, continuous monitoring of the air pollution caused by traffic and giving warnings to CF patients and their parents is particularly important.
RESUMO
Background: This study aimed to investigate the relationship between depression and pain anxiety with pain catastrophizing in patients with coronavirus disease 2019 (COVID-19). Methods: In this descriptive, correlational study, 180 patients with COVID-19 in Akhtar and Imam Hossein hospitals in Tehran, Iran, were included from March 2019 to April 2020. All participants completed three questionnaires, including the Pain Catastrophizing Scale (PCS), Pain Anxiety Symptoms Scale (PASS), and Beck's Depression Inventory (BDI). The data were analyzed using Pearson correlation coefficient and multivariate regression. Results: There was a positive and significant relationship between the dimensions of rumination, magnification, and helplessness with total score of pain catastrophizing, as well as moderate to severe dimensions with total pain anxiety and depression in patients with COVID-19. Conclusions: According to the results of regression analysis, pain anxiety based on pain catastrophizing dimensions was statistically significant, so that rumination, magnification, and helplessness could predict pain anxiety and explain a total of 15.1% of changes in pain anxiety. Also, depression was statistically significant based on dimensions of pain catastrophizing, so rumination, magnification, and helplessness could predict the patients' depression and explain 13.6% of depression changes.
