OBJECTIVES: The objective of our study was to evaluate the influence of available demographic determinants on the number of deaths caused by circulatory system diseases as compared to deaths caused by neoplasms in Slovakia in 1996-2014. METHODS: Mortality data were kindly provided by the National Health Information Centre in Slovakia. The first method was trend curve fitting of death ratios caused by circulatory system diseases (Chapter IX) and of deaths caused by neoplasms (Chapter II) as a function of age for both sexes. The second method comprised a decision tree for classification between deaths caused by Chapter IX and Chapter II diseases. Input variables were available demographic indicators: age, sex, marital status, region, and calendar year of death. Statistical data analyses were performed by IBM SPSS version 19 statistical software. RESULTS: We found that the odds ratios of deaths caused by circulatory system diseases (Chapter IX) in comparison with deaths caused by neoplasms (Chapter II) were non-decreasing. At first, the values of odds ratios are constant until they reach a critical sex-dependent value with a subsequent steady increase. In the case of men the odds ratio was greater than in the 60 years age-group where the odds ratio value increased slowly (from 1.14 at age 60 to 7.25 at age 90 years). The relative increase was 6.36 (7.25/1.14). The odds ratio in the women group was smaller but increased more rapidly (from 0.81 at age 60 to 12.27 at age 90 years). The relative increase was 15.15 in women (12.27/0.81). Hence, the odds ratio of death caused by Chapter IX diseases vs. Chapter II was greater in the older women group (i.e. higher age values). Utilizing the decision tree model, we have found that the most significant demographic determinant of death counts in both ICD Chapters was the age of the deceased, followed by marital status and finally gender. The last two predictors (year and region) were relatively negligible though formally significant. CONCLUSIONS: The proposed method could be useful for prognostic classification of patients and primarily beneficial for hospitals in human or financial resources planning.

• MeSH
• demografie MeSH
• kardiovaskulární nemoci mortalita   MeSH
• lidé středního věku MeSH
• lidé MeSH
• mortalita trendy   MeSH
• nádory mortalita   MeSH
• příčina smrti MeSH
• rozhodovací stromy MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• srovnávací studie MeSH
• Geografické názvy
• Slovenská republika epidemiologie   MeSH

AIM: Knowledge of the causes of deaths in Slovakia is lacking. This is significant because diet and lifestyle factors are different in central Europe compared to Western, Northern and Southern Europe. This study aims to discern trends of age-adjusted mortality rates caused by various diseases in relation to demographic factors. The aim of our study was to find certain statistical aspects including trends of age-adjusted mortality rates caused by neoplastic (Chapter II) and circulatory diseases (Chapter IX) in the Slovak population in relation to available demographic factors (sex, region and calendar year of death). METHODS: Dataset of individual deaths in Slovakia with certain demographic factors (sex, region and calendar year of death) during 1996-2013 were provided by the Slovak National Center of Health Informatics. Regression and correlation analyses and analyses of variance and of covariance were used to yield the level of significance. RESULTS: We found significant differences of age-adjusted mortality rates between men and women, between Chapter II and Chapter IX and among Slovak regions. Age-adjusted mortality rates decline significantly in most regions for both sexes with the exception of stagnation in four regions in a group of Chapter II women (Košice, Nitra, Trenčín and Žilina) and one region in Chapter IX, also in group of women (Žilina). CONCLUSIONS: Mortalities caused either by Chapter II or Chapter IX diseases are significantly dependent on chapter, sex and region with mortalities either declining or stagnating.

• MeSH
• demografie MeSH
• kardiovaskulární nemoci mortalita   MeSH
• lidé středního věku MeSH
• lidé MeSH
• nádory mortalita   MeSH
• rizikové faktory MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• věkové faktory MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Slovenská republika epidemiologie   MeSH