scholarly journals Health inequalities by education, income and wealth: a comparison of 11 European countries and the US

2008 ◽  
Vol 17 (1) ◽  
pp. 87-91 ◽  
Author(s):  
H. Jürges
2017 ◽  
Author(s):  
Patrick Präg ◽  
SV Subramanian

The US show a distinct health disadvantage when compared to other high-income nations. A potential lever to reduce this disadvantage is to improve the health situation of lower socioeconomic groups. Our objective is to explore how the considerable within-US variation in health inequalities compares to the health inequalities across other Western countries. Representative survey data from 45 European countries and the US federal states were obtained from the fourth wave of the European Values Study (EVS, 2008) and the 2008 wave of the Behavioral Risk Factor Surveillance System (BRFSS). Using binary logistic regression, we analyze different forms of educational inequalities in self-rated health (SRH), adjusted for age and sex. The extent of educational inequalities in SRH varies considerably over European countries and US states; with US states in general showing greater inequality, however differences between US states and European countries are less clear than commonly assumed. The US have considerable differences in educational inequalities in SRH across geographic locations. To understand the reasons for the US health disadvantage, comparative research has to take into account the vast variation in health inequalities within the US.


2019 ◽  
Author(s):  
Patrick Präg ◽  
SV Subramanian

The US shows a distinct health disadvantage when compared to other high-income nations. A potential lever to reduce this disadvantage is to improve the health situation of lower socioeconomic groups. Our objective is to explore how the considerable within-US variation in health inequalities compares to the health inequalities across other Western countries. Methods: Representative survey data from 44 European countries and the US federal states were obtained from the fourth wave of the European Values Study (EVS) and the 2008 wave of the Behavioral Risk Factor Surveillance System. Using binary logistic regression, we analyze different forms of educational inequalities in self-rated health (SRH), adjusted for age and sex. Results: The extent of educational inequalities in SRH varies considerably over European countries and US states; with US states in general showing greater inequality, however, differences between US states and European countries are less clear than commonly assumed. Conclusions: The US has considerable differences in educational inequalities in SRH across geographic locations. To understand the reasons for the US health disadvantage, comparative research has to take into account the vast variation in health inequalities within the US.


2020 ◽  
Vol 40 (3) ◽  
pp. 113-115
Author(s):  
Katarina Sjögren Forss

Ageism is discrimination against individuals or groups based on their age. In the Swedish healthcare context, the term is uncommon, despite the fact that older people are a significant class of users. One of every five individuals in Sweden is 65 years of age or older, and the proportion of older people in the population is rising. Therefore, ageism in healthcare warrants more awareness and focus. In three recent articles that we have published relating to nutritional, depression and continence care for older people, we found indications of ageism even though we did not aim to study it. There is a need to identify the manifestations of ageism and label them, and to become alert to both the visible and invisible expressions of ageism. This will help in the development of interventions and policies to eliminate ageism in healthcare. With health inequalities growing and seemingly becoming the norm rather than the exception in Sweden and other European countries, it has become imperative to address and eliminate health inequalities through a range of initiatives and mechanisms. Fighting ageism in different settings must be a part of this larger goal.


2020 ◽  
pp. 1-3 ◽  
Author(s):  
Nubia Muñoz

It is too early to know which will be the final death toll from the Covid-19 or SARS-CoV-2 virus epidemy in Latin America since the epidemy is still active and we will not know when it will end. The curve for new infections and deaths has not reached yet a peak (Figure 1). In addition, we know little about the epidemiology of this new virus. The daily litany of the number of people infected with the number of admissions to hospitals and intensive care units and the number of deaths guides health authorities to plan health services and politicians to gauge the degree of confinement necessary to control the transmission of the virus, but it says little about the magnitude of the problem if we do not relate it to the population at risk. At the end of the pandemic, we will be able to estimate age-standardized death rates for the different countries, but until then the crude death rates will provide a first glance or snapshot of the death toll and impact of the pandemic from March to May 2020. These rates are well below those estimated in other countries in Europe and North America: Belgium (82.6), Spain (58.0), the United Kingdom (57.5), Italy (55.0), France (42.9), Sweden (41.4), and the US (30.7). (Johns Hopkins CSSE, May 30, 2020). However, in the European countries and the US the number of deaths has reached a peak, while this is not the case in Latin American countries. (Figure 1). It should be taken into account that the above rates are crude and therefore, some of the differences could be due to the fact that European countries have a larger proportion of the population over 70 years of age in whom higher mortality rates have been reported.


2014 ◽  
Vol 15 ◽  
pp. 91-99 ◽  
Author(s):  
Anca Munteanu ◽  
Angela Filip ◽  
Andreea Pece

Author(s):  
Philip Du Caju ◽  
Erwan Gautier ◽  
Daphne Momferatou ◽  
Melanie E. Ward-Warmedinger

2019 ◽  
Vol 30 (2) ◽  
pp. 346-353
Author(s):  
Elena Carrillo-Álvarez ◽  
Hilde Boeckx ◽  
Tess Penne ◽  
Imma Palma Linares ◽  
Berénice Storms ◽  
...  

Abstract Background The purpose of this article is to report on a comparative analysis of the official food-based dietary guidelines (FBDG) that were applicable in 2015 in 25 EU Member States. We assess FBDG in relation to the main guidelines established by the FAO/WHO, the EURODIET project and the EFSA, with a particular focus on identifying strengths and limitations of current FBDG in Europe towards addressing diet-related health inequalities. Methods This is a review research, in which a mixed-methods sequenced procedure was utilized. In each EU country key informants, including sociologists, economists, dietitians and nutritionists were asked to provide data regarding: (i) current dietary guidelines and national health priorities, (ii) model of health promotion currently available, (iii) results of the latest food consumption survey. All documents were reviewed by the coordinating team. Full data were analysed by two nutritionists, using a tabulated sheet to organize and compare the results. Results While all countries have national FBDG, the level of detail and quality varies substantially with regard to: time of last update; availability of recommendations for specific target groups; specification of frequency and portion size; the graphical representation; recommended amounts and limits of foods consumed; and recommendations regarding physical activity. Conclusions European countries have great opportunities to improve FBDG to better serve Public Health policy through a more consistent foundation of how these guidelines are developed, the inclusion of different population subgroups as a target for recommendations and the implementation of monitoring systems.


2020 ◽  
Vol 10 (4) ◽  
pp. 91
Author(s):  
Eloy Gil-Cordero ◽  
Francisco Javier Rondán-Cataluña ◽  
Daniel Sigüenza-Morales

In this study, we have analyzed the impact and evolution of some of the most important macroeconomic indices on the market share and value of private brands. The originality and objective of this work is the linkage of macroeconomic variables in European countries and the USA with the evolution of private labels in these countries. A sample of 19 European countries and all states within the USA has been collected over a 10-year period, including data on private labels and macroeconomic indices. The analysis of the panel data has been applied using the SPSS software through the Ljung–Box test. The most significant data from the sample study is that for GDP; we advised national brand managers to make a special communication effort in nations that offer a lower GDP within Europe for their volume and in value for the US. On the other hand, it was found that when the unemployment rate increases, the value of private label market share decreases for the US, but increases for Europe, in addition to other findings that will help organizations make different business decisions.


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