A Multivariate statistical procedure for investigating relationschips between PM 10 levels and Obstructive Sleep Apnea Syndrome in an urban area

Flaminio Mormile, Giuseppina Anna Giorgio, Mariagrazia D’Emilio, Maria Ragosta, Ivano Salimbene

Risultato della ricerca: Contributo in libroContributo a convegno

Abstract

[Ita:]A Multivariate statistical procedure for investigating relationschips between PM 10 levels and Obstructive Sleep Apnea Syndrome in an urban area Giuseppina Anna Giorgio1*, Mariagrazia D’Emilio2, Flaminio Mormile3, Maria Ragosta1, Ivano Salimbene3 1Engineering School, University of Basilicata, Potenza, 85100, Italy 2Institute of Methodologies for Environmental Analysis, IMAA-CNR, Tito Scalo (PZ),85050, Italy 3Dept. Pulmonary Medicine, A. Gemelli University Polyclinic, Rome, 00168, Italy *giusygiorgio_a@libero.it The linkage between high atmospheric particulate matter (PM) concentrations and respiratory and cardiovascular diseases is extensively studied from an epidemiological point of view. In particular, respiratory diseases appear to be increasing worldwide, affecting in particular subjects living in urban areas. Respirable particulate matter could induce adverse effects on airways both directly, causing inflammation and airway hyperresponsiveness, and indirectly, acting as a carrier of other pollutants or allergens. These characteristics could contribute to explain the increase of cases of sensitization to pollen allergens in urban areas. [1-3]. Here we present the application of a multivariate statistical procedure aimed to investigating the relationships between outdoor concentrations of PM10 and occurrence of a particular respiratory disease: the Obstructive Sleep Apnea Syndrome (OSAS). Our database includes daily atmospheric concentrations of PM10 measured in eleven sampling stations displaced in Rome urban area from 2008 to 2011 (ArpaLazio data) and the results of the diagnostic test called PolySomnoGraphy (PSG) performed on about 400 patients by Department of Pulmonary Medicine of Gemelli University Polyclinic in Rome. We applied a multivariate procedure based on cluster analysis and PCA [4] in order to put in evidence the correlation structure of our database. For performing our analysis we also took into account qualitative variables related to risk factors. 1. Karanasiou A., Moreno N., Moreno T., Viana M., de Leeuw F., Querol X. (2012). Health effects from Sahara dust episodes in Europe: literature review and research gap. Environment International 47, 107- 114. 2. Ostro B., Tobias A., Querol X., Alastuey A., Amato F., Pey J., Pérez N., Sunyer J. (2011). The effects of particulate matter sources on daily mortality: a case-crossover study of Barcelona, Spain Environmental Health Perspectives 119, 1781-1787 (2011) 3. D’Amato G., Baena-Cagnani C. E., Cecchi L., Annesi-Maesano I., Nunes C., Ansotegui I., D’Amato M., Liccardi G., Sofia M., Canonica W. G. (2013). Climate change, air pollution and extreme events leading to increasing prevalence of allergic respiratory diseases Multidisciplinary Respiratory Medicine, doi:10.1186/2049-6958-8-12. 4. Ragosta M., Di Leo S. (2011). Multivariate indices for analysing correlation structures in environmental datasets. Proceeding of 58th World Statistics Congress of the International Statistical Institute (ISI), Dublin, Ireland, CPS008:2-01.
Titolo tradotto del contributo[Autom. eng. transl.] A Multivariate statistical procedure for investigating relationschips between PM 10 levels and Obstructive Sleep Apnea Syndrome in an urban area
Lingua originaleItalian
Titolo della pubblicazione ospiteDUST 2014 - Booj of abstracts - International Conference on ATMOSPHERIC DUST Castellaneta Marina - Italy June 1-6, 2014
Pagine151s
Numero di pagine1
Stato di pubblicazionePubblicato - 2014
EventoDUST2014 - 1st International Conference on Atmospheric Dust - Italy - Castellaneta
Durata: 1 giu 20146 giu 2014

Convegno

ConvegnoDUST2014 - 1st International Conference on Atmospheric Dust - Italy
CittàCastellaneta
Periodo1/6/146/6/14

Keywords

  • apnee ostruttive nel sonno
  • obstructive sleep apnea
  • pm10
  • russamento
  • snoring

Fingerprint Entra nei temi di ricerca di 'A Multivariate statistical procedure for investigating relationschips between PM 10 levels and Obstructive Sleep Apnea Syndrome in an urban area'. Insieme formano una fingerprint unica.

Cita questo