Δημογραφία της υγείας: βασικές αρχές και ποσοτικές προσεγγίσεις
Health demography: theoretical and empirical framework and techniques of demographic analysis
Demography deals with the statistical study of populations in order to draw conclusions based on various conditions, while epidemiology is the study and analysis of the distribution, patterns and determinants of health and disease conditions in human populations. These two are independent concepts but historically appear to be used in combined way in order to draw conclusions on the health status of the population with common points of individual health, population health, geography, time and various biological and psychological factors. Nowadays, the most common demographic phenomenon is the aging of the population. The question that has been raised is whether the reduction in the mortality rate of older populations marks the simultaneous reduction of morbidity and disability. In other words, whether the extra years of the older population are accompanied by better health. In order to study and answer such questions health-related indicators have been created such as DALE, DALY, QALY, HALE, ADL, IADL, which are analyzed in the context of this thesis. In addition, this dissertation deals with one of the major means of assessing life-threatening and health-related changes in the population, which is the Health Life Table, which looks at how long an average person expects to be healthy or not during the years of his life. To a large extent, the thesis focuses on the importance of statistics and health measures and analyzes their implications and the benefits that arise from their application. In the thesis there is also examples included, such as the Mpakabo’s study in 2011, as study aiming to obtain results and insights of the Greek population health state. From the empirical point of view this thesis analyzes data, extracted from the Share Program in 2015 and involving a sample of people over 50 years of age from different countries. The last part of the thesis focuses on an application of logistic regression models for drawing conclusions on the health status of the European population.