Author/Editor		Zadnik, Vesna
Title		Geografska analiza vpliva socialno-ekonomskih dejavnikov na incidenco raka v Sloveniji v obdobju 1995-2002
Type		monografija
Place		Ljubljana
Publisher		Medicinska fakulteta
Publication year		2006
Volume		str. 99
Language		slo
Abstract		The geographical distribution of disease risks is commonly shown in the form of disease maps. The map accuracy is determined by the size of its basic units. If large units are used, its heterogeneity could pose a problem, as by averaging the health index across the whole unit some of its parts with excess risk could be ignored. On the other hand, by applying small cells, the large variability of index averages leads to imprecise estimates. The main aim of our research was to prepare the age standardized cancer incidence maps for Slovenia's 192 small administrative unites, called municipalities, by the use of Bayesian hierarchical methods. We used to the excess geographical risk for certain cancers and to explain this excess risk by the municipality's socio-economic (SE) status. Recnely collected data from Cancer registry of Slovenia (data on cancer patients), Statistical office of the Republic of Slovenia (population data and SE status data) and the governmental Institute of Macroeconomic Analyses and Development (data on SE status) were applied in our geographical analysis. The patients included in the study had been diagnosed in the target period 1995-2002 with one of the cancers, which previous studies have proved to be influencedd by SE status. By factor analysis multiple SE variables were combined into two deprivation indices, which were used in subsequent analysis. The major influence of the economic-educational deprivation index (which resumes economic status) was noticed in the northeastern part of the county, but the family-demographic deprivation index (which resumes social status) was more significant in the western part of Slovenia. The observed age standardized incidence rates were smoothed by Bayesian hierarhical models, the obtained estimates were mapped afterwards. The spatial structure was assessed visually and numerically by testing Moran I statistics and by calculating the precisions ratio. (Abstract truncated at 2000 characters)
Descriptors		NEOPLASMS SOCIOECONOMIC FACTORS RISK FACTORS INCIDENCE SLOVENIA