scholarly journals Educational inequalities in self-rated health across US states and European countries

2017 ◽  
Vol 62 (6) ◽  
pp. 709-716 ◽  
Author(s):  
Patrick Präg ◽  
S. V. Subramanian
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.


2016 ◽  
Vol 26 (suppl_1) ◽  
Author(s):  
K Hoffmann ◽  
R De Gelder ◽  
Y Hu ◽  
JP Mackenbach ◽  
FJ van Lenthe

2019 ◽  
Vol 76 (Suppl 1) ◽  
pp. A67.1-A67
Author(s):  
Jolinda Schram ◽  
Joost Oude Groeniger ◽  
Merel Schuring ◽  
Karin Proper ◽  
Sandra van Oostrom ◽  
...  

BackgroundThis study aims to estimate to what extent working conditions and health behaviours mediate the increased risk of low educated workers to report a poor health.MethodsRespondents of the longitudinal Survey of Health, Ageing, and Retirement in Europe (SHARE) in 18 European countries were selected aged between 50 years and 64 years, in paid employment at baseline and with information on education and self-rated health (n=15,126). Health behaviours and physical and psychosocial work characteristics were measured at baseline, while self-rated health was measured at 2 year follow up. We used loglinear regression models and Inverse Odds Weighting causal mediation analysis to estimate the total effect of low education on self-rated health and to decompose the effect into natural direct (NDE) and natural indirect effects (NIE).ResultsLower educated workers were more likely to be in poor health compared to higher educated workers. The total effect of low education on self-rated health was RR=1.81 [95% CI 1.66–1.97]. For work conditions, having a physical demanding job was the strongest mediator, followed by lack of job control and lack of job rewards. NIE through working conditions was RR=1.16 [95% CI 1.06–1.25], explaining about 30% of educational inequalities in self-rated health. For health behaviour, body mass index and alcohol were the strongest mediators, followed by smoking. NIE though health behaviour was RR=1.14 [95% CI 1.07–1.20], explaining about 27% of educational inequalities in self-rated health.ConclusionsPreventive interventions focusing on reducing physical work demands as well as improving health behaviour may contribute to reducing educational inequalities in self-rated health among workers in Europe.


PLoS ONE ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. e0196494 ◽  
Author(s):  
Flavia Cristina Drumond Andrade ◽  
Jeenal Deepak Mehta

2017 ◽  
Vol 45 (6) ◽  
pp. 647-653 ◽  
Author(s):  
Valerio Baćak ◽  
Sigrún Ólafsdóttir

Aims: The aims of this study were to: (1) examine the concurrent validity of self-rated health for mental and physical health in Europe; and (2) evaluate whether self-rated health predicts health problems differentially by gender. Methods: Data are from 19 European countries surveyed in the 2014 European Social Survey. We applied ordinary least squares regression to examine the association between self-rated health and summary indicators of physical and mental health problems. Results: We observed an association between self-rated health and both physical and mental health problems in all countries. Gender differences in the concurrent validity of self-rated health were documented in eleven out of 19 countries. Conclusions: Self-rated health is a valid and efficient measure of physical and mental health across the European continent, with significantly greater concurrent validity among women.


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