Kósa et al. | Peer Reviewed | Research and Practice | 853 RESEARCH AND PRACTICE  Objectives. We compared the health of people living in Roma settlements with that of the general population in Hungary.Methods. We performed comparative health interview surveys in 2003 to 2004 in representative samples of the Hungarian population and inhabitants of Roma settlements.Results. In persons older than 44 years, 10% more of those living in Roma settlements reported their health as bad or very bad than did those in the lowest income quartile of the general population. Of those who used any health services, 35% of the Roma inhabitants and 4.4% of the general population experienced some discrimination. In Roma settlements, the proportion of persons who thought that they could do much for their own health was 13% to 15% lower, and heavy smoking and unhealthy diet were 1.5 to 3 times more prevalent, than in the lowest income quartile of the general population.Conclusions. People living in Roma settlements experience severe social exclusion, which profoundly affects their health. Besides tackling the socioeconomic roots of the poor health of Roma people, specific public health interventions, including health education and health promotion programs, are needed. (Am J Public Health.

Although mental health service delivery varies between and within European countries, consistent challenges exist in the experiences of mental health professionals delivering services in communities with high proportions of immigrants. Improvements to practice should include training in reaching appropriate diagnoses, a focus on building trusting relationships and measures to counter marginalisation.

Background: Several models have been proposed to explain the association between ethnicity and health. It was investigated whether the association between Roma ethnicity and health is fully mediated by socioeconomic status in Hungary. Methods: Comparative health interview surveys were performed in 2003-04 on representative samples of the Hungarian population and inhabitants of Roma settlements. Logistic regression models were applied to study whether the relationship between Roma ethnicity and health is fully mediated by socioeconomic status, and whether Roma ethnicity modifies the association between socioeconomic status and health. Results: The health status of people living in Roma settlements was poorer than that of the general population (odds ratio of severe functional limitation after adjustment for age and gender 1.8 (95% confidence interval 1.4 to 2.3)). The difference in self-reported health and in functionality was fully explained by the socioeconomic status. The less healthy behaviours of people living in Roma settlements was also related very strongly to their socioeconomic status, but remained significantly different from the general population when differences in the socioeconomic status were taken into account, (eg odds ratio of daily smoking 1.6 (95% confidence interval 1.3 to 2.0) after adjustment for age, gender, education, income and employment). Conclusion: Socioeconomic status is a strong determinant of health of people living in Roma settlements in Hungary. It fully explains their worse health status but only partially determines their less healthy behaviours. Efforts to improve the health of Roma people should include a focus on socioeconomic status, but it is important to note that cultural differences must be taken into account in developing public health interventions.The association between ethnicity and health is well established. Though it is generally accepted that interpreting ethnicity as an independent determinant of health is a simplification, present knowledge of the complex causal network of ethnicity, socioeconomic status (SES), health behaviour, environment and health status is rather limited.

ObjectivesWe investigated whether the severely disadvantaged health of Hungarian Roma adults living in segregated settlements changed by the Decade of Roma Inclusion program.MethodsWe compared the results of two paired health interview surveys that we carried out using the same methodology before and after the Decade, on the general Hungarian and Roma populations.ResultsSelf-perceived health status of younger Roma worsened, while it improved among older Roma. Reported experience of discrimination reduced considerably and health care utilization improved in general. Positive changes in smoking and nutrition, and negative changes in alcohol consumption and overweight were observed. Many of observed changes can plausibly be linked to various government policies, including a quadrupling of public works expenditure, banning smoking in public places, restricting marketing of tobacco products, increasing cigarette prices, and a new tax on unhealthy foods. Liberalization of rules on alcohol distillation coincided with worsening alcohol consumption.ConclusionsWe have shown that Roma remain severely disadvantaged and present an innovative sampling method which can be used to monitor changes in groups where identification is a challenge.Electronic supplementary materialThe online version of this article (doi:10.1007/s00038-017-0954-9) contains supplementary material, which is available to authorized users.

Till the end of 1998 no program operated in Hungary engaged with non-communicable disease morbidity data collection, except some hospital-based registries, which failed to produce reliable information. The establishment of sentinel stations to collect morbidity data is feasible and sustainable in Hungarian primary care, the valid morbidity data can be built into the decision making process in health service planning. Regular training, quality control and feedback are important contributors to the success of the program. The prevalence of hypertension, diabetes mellitus and liver cirrhosis is high in each county but varies considerably, with higher levels in the western counties, especially among older age groups of both sexes. More research needed to determine the possible contribution of unknown morbidity and health service utilisation to the different prevalence values in the two parts of Hungary.

Besides tackling the socio-economic determinants of the poor health of Roma people, specific public health interventions considering increased genetic susceptibility to metabolic disturbances are needed to improve their health status.

Data mainly from one-off surveys clearly show that the health of Roma, the largest ethnic minority of Europe, is much worse than that of the general population. However, results from comprehensive exploratory studies are missing. The aim of our study was to create a complex database for comparative and association studies to better understand the background of the very unfavourable health of Roma, especially the high burden of cardiometabolic diseases. A three-pillar (questionnaire-based, physical and laboratory examinations) health survey was carried out on randomly selected samples of the Hungarian general (HG, n = 417) and Roma (HR, n = 415) populations, and a database consisting of more than half a million datapoints was created. Using selected data, the prevalence rates of metabolic syndrome (MetS) and of its components were determined, and to estimate the risk of insulin resistance (IR), surrogate measures (the homeostasis model assessment of insulin resistance index, quantitative insulin sensitivity check index, McAuley and TyG indices and the TG/HDL-C ratio) were calculated. Receiver operating characteristic curve analysis and Youden’s method were used to define the optimal cut-off values of each IR index. The prevalence of MetS was very high in both study populations (HG: 39.8%, HR: 44.0%) with no statistically significant difference between the two groups in females or males. The prevalence of MetS showed a very marked increase in the HR 35–49 years age group. Among surrogate measures, the TyG index showed the greatest power for predicting IR/MetS at a cut-off value of 4.69 (77% sensitivity, 84% specificity) and indicated a 42.3% (HG) and 40.5% (HR) prevalence of IR. The prevalence of MetS and IR is almost equally very unfavourable in both groups; thus, the factors underlying the high premature mortality burden of Roma should be further clarified by investigating the full spectrum of risk factors available in the database, with a special focus on the access of Roma people to preventive and curative health services.

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