ABSTRACT
OBJECTIVE: To evaluate the relationship between meteorological factors in North-western Greece and the incidence of bronchiolitis. METHODS: Meteorological data (air temperature and rainfall) for Ioannina city in North-western Greece and medical data from hospitalised patients at University Hospital of Ioannina were collected between January 2002 and December 2013. The association between meteorological factors and rate of hospitalisation due to bronchiolitis was investigated. The data processing was done using the Pearson product-moment correlation coefficient and applying the chi-square test at contingency tables of the parameters. RESULTS: Of the 792 hospitalised cases, 670 related to infants (<1 year) and 122 concerned patients aged 1-2 years old. The disease is more common among boys (59.5%) than girls (40.5%). The disease course through the year has a double variation with a main maximum in March and a main minimum in August. The statistical study showed statistically significant correlation of bronchiolitis with: (a) the temperature parameters on an annual basis; (b) precipitation in autumn and dryness in spring; and (c) with sudden changes in diurnal temperature range on an annual basis. CONCLUSION: A peak incidence of bronchiolitis was noticed in cold and wet seasons during the five days preceding hospitalisation.
Subject(s)
Bronchiolitis/epidemiology , Hospitalization/statistics & numerical data , Meteorological Concepts , Climate , Female , Greece/epidemiology , Humans , Infant , Male , Rain , Retrospective Studies , Risk Factors , Seasons , Temperature , WeatherABSTRACT
This retrospective study aims to search out the influence of temperature, atmospheric pressure and humidity on the frequency of epistaxis. The study includes 701 patients who have suffered from epistaxis and have been treated in the ENT department of the University of Ioannina Hospital, during the years 1995 and 1996. The statistical methods used are simple linear correlation and linear stepwise regression analysis. The results of simple correlation analysis showed that the daily number of epistaxes depends mainly on mean, maximum and minimum temperature and water vapour pressure. The corresponding correlation coefficients are statistically significant, indicating an influence of weather on epistaxis up to 9% of its total variance. By applying stepwise regression analysis, we managed to increase the linear correlation coefficient and the corresponding amount of variance of epistaxis explained by meteorological factors. This percentage was found to approach 20% for the cold period and 10% for the warm period of the year.
