Does poorer self-rated health mediate the effect of Roma ethnicity on mortality in patients with coronary artery disease after coronaro-angiography?

Exposure to Toxoplasma gondii in the Roma and Non-Roma Inhabitants of Slovakia: A Cross-Sectional Seroprevalence Study

The lifestyle, health and social status of the Roma are generally below the standards characteristic for the non-Roma population. This study aimed to find out the seropositivity to Toxoplasma gondii (T. gondii) in the population of Roma living in segregated settlements and to compare it with the prevalence of antibodies in the non-Roma population from the catchment area of eastern Slovakia. The seroprevalence of antibodies to T. gondii was significantly higher in the Roma group (45.0%) than in non-Roma inhabitants (24.1%). A statistically significant difference was also recorded between the two non-Roma groups in the study, 30.4% of those from the catchment area and 19.7% from the non-catchment area were seropositive. Univariate logistic regression confirmed poverty and higher age to be significant risk factors influencing the seropositivity to T. gondii. Of the clinical symptoms analyzed in the study, only muscle and back pain were associated with seropositivity to T. gondii. The close contact of Roma with an environment contaminated by different infectious agents and the insufficient hygiene, lower level of education, poverty, lack of water and household equipment and high number of domestic animals increase the risk of infectious diseases in the Roma settlements and subsequently the spread of communicable diseases at the national or even international level.

Is the Definition of Roma an Important Matter? The Parallel Application of Self and External Classification of Ethnicity in a Population-Based Health Interview Survey

The Roma population is typified by a poor and, due to difficulties in ethnicity assessment, poorly documented health status. We aimed to compare the usefulness of self-reporting and observer-reporting in Roma classification for surveys investigating differences between Roma and non-Roma populations. Both self-reporting and observer-reporting of Roma ethnicity were applied in a population-based health interview survey. A questionnaire was completed by 1849 people aged 18–64 years; this questionnaire provided information on 52 indicators (morbidity, functionality, lifestyle, social capital, accidents, healthcare use) indicators. Multivariate logistic regression models controlling for age, sex, education and employment were used to produce indicators for differences between the self-reported Roma (N = 124) and non-Roma (N = 1725) populations, as well as between observer-reported Roma (N = 179) and non-Roma populations (N = 1670). Differences between interviewer-reported and self-reported individuals of Roma ethnicity in statistical inferences were observed for only seven indicators. The self-reporting approach was more sensitive for two indicators, and the observer-reported assessment for five indicators. Based on our results, the self-reported identity can be considered as a useful approach, and the application of observer-reporting cannot considerably increase the usefulness of a survey, because the differences between Roma and non-Roma individuals are much bigger than the differences between indicators produced by self-reported or observer-reported data on individuals of Roma ethnicity.