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Measuring the effect of ethnic and non-ethnic discrimination on Europeans’ self-rated health

Authors

ÁLVAREZ GÁLVEZ, JAVIER

External publication

No

Means

Int. J. Public Health

Scope

Article

Nature

Científica

JCR Quartile

SJR Quartile

JCR Impact

2.327

SJR Impact

1.311

Publication date

01/01/2016

ISI

000378730800011

Scopus Id

2-s2.0-84939857082

Abstract

Objectives: The study of perceived discrimination based on race and ethnic traits belongs to a long-held tradition in this field, but recent studies have found that non-ethnic discrimination based on factors such as gender, disability or age is also a crucial predictor of health outcomes. Methods: Using data from the European Social Survey (2010), and applying Boolean Factor Analysis and Ordered Logistic Regression models, this study is aimed to compare how ethnic and non-ethnic types of discrimination might affect self-rated health in the European context. Results: We found that non-ethnic types of discrimination produce stronger differences on health outcomes. This result indicates that the probabilities of presenting a poor state of health are significantly higher when individuals feel they are being discriminated against for social or demographic conditions (gender, age, sexuality or disability) rather than for ethnic reasons (nationality, race, ethnicity, language or religiosity). Conclusions: This study offers a clear comparison of health inequalities based on ethnic and non-ethnic types of discrimination in the European context, overcoming analytical based on binary indicators and simple measures of discrimination. © 2015, Swiss School of Public Health.

Keywords

adolescent; adult; age; aged; cross-sectional study; disabled person; ethnic group; female; health disparity; health status; human; male; middle aged; perception; prejudice; psychology; racism; self report; sex difference; sexuality; socioeconomics; statistical model; young adult; Adolescent; Adult; Age Factors; Aged; Cross-Sectional Studies; Disabled Persons; Ethnic Groups; Female; Health Status; Health Status Disparities; Humans; Logistic Models; Male; Middle Aged; Perception; Prejudice; Racism; Self Report; Sex Factors; Sexuality; Socioeconomic Factors; Young Adult