scholarly journals Philosophical investigations of socioeconomic health inequalities

2019 ◽  
Author(s):  
Beatrijs Haverkamp
Author(s):  
Rachelle Meisters ◽  
Polina Putrik ◽  
Daan Westra ◽  
Hans Bosma ◽  
Dirk Ruwaard ◽  
...  

Loneliness is a growing public health issue. It is more common in disadvantaged groups and has been associated with a range of poor health outcomes. Loneliness may also form an independent pathway between socio-economic disadvantage and poor health. Therefore, the aim of this study was to explore the contribution of loneliness to socio-economic health inequalities. These contributions were studied in a Dutch national sample (n = 445,748 adults (≥19 y.o.)) in Poisson and logistic regression models, controlling for age, gender, marital status, migration background, BMI, alcohol consumption, smoking, and physical activity. Loneliness explained 21% of socioeconomic health inequalities between the lowest and highest socio-economic groups in self-reported chronic disease prevalence, 27% in poorer self-rated health, and 51% in psychological distress. Subgroup analyses revealed that for young adults, loneliness had a larger contribution to socioeconomic gaps in self-rated health (37%) than in 80+-year-olds (16%). Our findings suggest that loneliness may be a social determinant of health, contributing to the socioeconomic health gap independently of well-documented factors such as lifestyles and demographics, in particular for young adults. Public health policies targeting socioeconomic health inequalities could benefit from integrating loneliness into their policies, especially for young adults.


2017 ◽  
Vol 30 (1) ◽  
pp. 17 ◽  
Author(s):  
Ana Isabel Ribeiro ◽  
Alexandra Mayer ◽  
Ana Miranda ◽  
Maria de Fátima De Pina

Introduction: Tackling socioeconomic health inequalities is a big public health challenge and ecological deprivation indexes are essential instruments to monitor and understand them. In Portugal, no standard ecological deprivation index exists, contrasting with other countries. We aimed to describe the construction of the Portuguese version of a transnational deprivation index, European Deprivation Index.Material and Methods: The European Deprivation Index was developed under the Townsend theorization of deprivation. Using data from the European Union - Statistics on Income and Living Conditions Survey, we obtained an indicator of individual deprivation. This indicator became the gold-standard variable, based on what we selected the variables at aggregate level (census) to be included in the European Deprivation Index, a total of eight. The European Deprivation Index was produced for the smallest area unit possible (n = 16 094, mean/area = 643 inhabitants) and resulted from the weighted sum of the previous variables. It was then classified into quintiles.Results: The first quintile (least deprived) comprised 20.9% national population and the fifth quintile (most deprived) 18.0%. The European Deprivation Index showed a clear geographic pattern – most deprived areas concentrated in the South and in the inner North and Centre of the country, and the least deprived areas in the coastal areas of North and Centre and in the Algarve.Discussion: The development of the European Deprivation Index was grounded on a solid theoretical framework, individual and aggregate variables, and on a longitudinal Europe-wide survey allowing its replication over the time and in any European country.Conclusion: Hopefully, the European Deprivation Index will start being employed by those interested in better understand health inequalities not only in Portugal but across Europe.


BMJ ◽  
2005 ◽  
Vol 331 (7510) ◽  
pp. 236.2 ◽  
Author(s):  
Antanas Jurgelenas ◽  
Diana Mieliauskaite ◽  
Rima Filipaviciute

PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0240757
Author(s):  
Lisa Wilderink ◽  
Ingrid Bakker ◽  
Albertine J. Schuit ◽  
Jacob C. Seidell ◽  
Carry M. Renders

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