Search results for " Concentration index"
showing 3 items of 3 documents
Socioeconomic inequality in non-communicable diseases in Europe between 2004 and 2015: evidence from the SHARE survey
2018
Background The scope of this work was to investigate socioeconomic inequalities among European adults aged 50 or older in chronic diseases and behavioural risk factors for these diseases, namely, smoking habits, obesity and physical inactivity, between 2004 and 2015. Methods Data for this study were drawn from the Survey of Health, Ageing and Retirement (SHARE) in Europe, which is a panel database of microdata on health, socioeconomic status and social and family networks of people aged 50 years or older, covering most of the European Union. The predicted number of non-communicable diseases (NCDs) was used to estimate the concentration index and to find the contributions of determinants to …
SEDENTARINESS AND EDUCATION CONTRIBUTE SIGNIFICANTLY TO SOCIOECONOMIC INEQUALITIES IN NON-COMMUNICABLE DISEASES
2018
In Europe, the main non-communicable diseases (NCDs), including diabetes, cardiovascular diseases, cancer, chronic respiratory diseases and mental disorders, all together account for an estimated 86% of the deaths and 77% of the disease burden. Of the six WHO regions, Europe is the most affected by NCDs [1]. The detection and control of physiological and behavioral risk factors (BRFs) remain the essential preventive strategy to counteract not only the average population’s exposure to the main NCDs, but also socioeconomic inequalities, which are related to chronic diseases. The scope of this work is to investigate socioeconomic inequalities among the European elderly in NCDs and BRFs for NCD…
A comparison between seasonality indices deployed in evaluating unimodal and bimodal patterns
2017
This paper will discuss a recently proposed index for measuring seasonality, which is based on the solution of the well-known transportation problem . A specific characterization of the cost matrix will permit the taking into account of the cyclical structure of time periods, which characterizes the phenomenon under observation. Various features of the proposed index will be evaluated by comparing it with other indices which are commonly used in the measurement of seasonality, such as the Gini concentration index. Given the wide range of disciplines with an interest in the analysis of seasonal phenom ena, the approach proposed m ay be of wide interest.