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We study whether migrant health in Europe is associated with the cultural distance between their host country and country of origin. To this end, we run multilevel regression models on data merging self-rated health and social background of ≥3800 migrants from the European Social Survey with an index of cultural distance based on country differences in values, norms and attitudes measured in the World Values Survey. We find that higher levels of cultural distance are associated with worse migrant health. This association is comparable in size with the negative association between health and female (compared with male) gender but less important than the association between health and education level. In addition, this association is less significant among second-generation than first-generation migrants. [ABSTRACT FROM AUTHOR]

Recent figures show that discrimination in healthcare is still persistent in the European Union. Research has confirmed these results but focused mainly on the outcomes of perceived discrimination. Studies that take into account socioeconomic determinants of discrimination limit themselves to either ethnicity, income or education. This article explores the influence of several socioeconomic indicators (e.g. gender, age, income, education and ethnicity) on perceived discrimination in 30 European countries. Data from the QUALICOPC study were used. These data were collected between October 2011 and December 2013 in the participating countries. In total, 7183 GPs (general practitioners) and 61932 patients participated in the study, which had an average response rate of 74.1%. Data collection was co-ordinated by NIVEL (Dutch Institute for Research of Health Care). Bivariate binomial logistic regressions were used to estimate the impact of each socioeconomic indicator on perceived discrimination. Multivariate logistic regressions were used to estimate the unique effect of each indicator. Results indicate that in Europe, overall 7% of the respondents felt discriminated, ranging between 1.4% and 12.8% at the country level. With regard to socioeconomic determinants in perceived discrimination, income and age are both important indicators, with lower income groups and younger people having a higher chance to feel discriminated. In addition, we find significant influences of education, gender, age and ethnicity in several countries. In most countries, higher educated people, older people, women and the indigenous population appeared to feel less discriminated. In conclusion, perceived discrimination in healthcare is reported in almost all European countries, but there is large variation between European countries. A high prevalence of perceived discrimination within a country also does not imply a correlation between socioeconomic indicators and perceived discrimination. [ABSTRACT FROM AUTHOR]

We investigate how the goal-scoring probability in international club soccer evolves after player substitutions. To this end, we analyse rich data concerning 2,025 recent soccer games played in the two most prestigious club soccer competitions, i.e. the UEFA Champions League and the UEFA Europa League. As first in the literature, we control for within-game dynamics by applying a minute-by-minute bivariate probit approach. We find that teams experience increased goal-scoring probabilities after their first and second substitution and a decreased probability of scoring after the three substitutions made by their opponent. This association is less distinct during the first 3 mins after the substitution, which is consistent with difficulties to adapt to (i) the game intensity by the substitute player or (ii) tactical changes by the entire team. Furthermore, we find that the change in the goal-scoring probability is substantially bigger if the team is losing at the moment of the substitution. [ABSTRACT FROM AUTHOR]

Separate literatures have related volunteering to health gains and income gains. We study the association between volunteering, income and health within one statistical framework. A state-of-the-art mediation analysis is conducted on data concerning the health, volunteering and sociodemographic characteristics of 42926 individuals within 29 European countries. We find that volunteering is positively associated to self-rated health. This association is partially mediated by household income.