Assessing disparities in health and living conditions: a comparative study of Hungarian-speaking Roma and non-Roma women across Hungary, Romania, and Slovakia.

No��mi M��zes, Johanna Tak��cs, Zoltan Ungvari, Helga Judit Feith
Author Information
  1. No��mi M��zes: Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
  2. Johanna Tak��cs: Department of Social Sciences, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary.
  3. Zoltan Ungvari: Vascular Cognitive Impairment, Neurodegeneration, and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
  4. Helga Judit Feith: Department of Social Sciences, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary.

Abstract

Background: The Roma minority, Europe's largest ethnic minority, experiences significant disparities in living conditions and health outcomes compared to the non-Roma populations across the continent. Despite extensive documentation of the socio-economic challenges faced by the Roma, there is a notable lack of comparative research.
Methods: This study aims to fill this gap by examining the differences in socio-economic characteristics, living conditions, and self-reported health status between Roma (R) and non-Roma (nR) women in in Hungary (HU), Romania (RO), and Slovakia (SK), providing a cross-country comparative analysis. Utilizing simple and multiple binary logistic models, our research analysed data collected from September 2020 to March 2022, involving 322 Roma and 294 non-Roma women in Hungary, 258 Roma and 183 non-Roma women in Romania, and 146 Roma and 163 non-Roma women in Slovakia.
Results: Findings indicate significant associations between increased age (R:OR���=���1.04[1.02,1.06], <���0.001), (nR:OR���=���1.04[1.02,1.05], <���0.001) lower financial situation (R:OR���=���2.05[1.01,4.18], =���0.048) (nR:OR���=���1.67[1.01,2.77], =���0.047), and basic education level (R:OR���=���3.60[1.29,10.08], =���0.015) (nR:OR���=���3.64[1.77,7.51], <���0.001) with the likelihood of poor health status across both groups in Hungary. In Romania, increased age (OR���=���1.04[1.02,1.06], <���0.001) and basic education level (OR���=���5.24[2.29,11.99], <���0.001) were particularly predictive of poor health among non-Roma, while in Slovakia, age (OR���=���1.05[1.02,1.07], <���0.001) was a significant factor for Roma, and intermediate education level (OR���=���2.68[1.16,6.20], =���0.021) was for non-Roma. The study also found that a higher number of children (HU:OR���=���1.35[1.12,1.63], =���0.002), (RO:OR���=���1.57[1.25,1.96], <���0.001) and problems with housing comfort (RO:OR���=���4.83[2.19,10.62], =���0.015) and wall conditions (RO:OR���=���2.81[1.22,6.46], <���0.001) significantly impacted the health status of non-Roma women in Hungary and Romania. Conversely, an increase in household size was associated with a better health status among Roma women in Hungary (OR = 0.88[0.79,0.99]) and Slovakia (OR = 0.78[0.61,0.99]).
Conclusion: By offering a novel comparative analysis, this study highlights the critical need for focused attention on the health disparities faced by Roma women, particularly those in a multiply disadvantaged situation due to their ethnic and socio-economic status.

Keywords

References

  1. J Epidemiol Community Health. 2009 Jun;63(6):455-60 [PMID: 19228680]
  2. Front Public Health. 2023 Dec 22;11:1292598 [PMID: 38186708]
  3. Am J Public Health. 2007 May;97(5):853-9 [PMID: 17395845]
  4. Eur J Public Health. 2010 Oct;20(5):549-54 [PMID: 20650945]
  5. Int J Environ Res Public Health. 2018 May 22;15(5): [PMID: 29789486]
  6. J Infect Public Health. 2020 Aug;13(8):1107-1111 [PMID: 32404252]
  7. Int J Environ Res Public Health. 2020 Oct 20;17(20): [PMID: 33092048]
  8. Eur J Public Health. 2014 Oct;24(5):702-3 [PMID: 25239818]
  9. Int J Environ Res Public Health. 2018 May 03;15(5): [PMID: 29751522]
  10. Eur J Hum Genet. 2016 Jun;24(6):937-43 [PMID: 26374132]
  11. BMC Public Health. 2005 Oct 10;5:106 [PMID: 16216117]
  12. BMC Womens Health. 2015 Apr 28;15:38 [PMID: 25927826]
  13. Sci Rep. 2022 Mar 9;12(1):3873 [PMID: 35264669]
  14. Int J Environ Res Public Health. 2020 Dec 03;17(23): [PMID: 33287122]
  15. Cent Eur J Public Health. 2014 Mar;22 Suppl:S22-7 [PMID: 24847610]
  16. Eur J Public Health. 2017 Jun 1;27(3):410-415 [PMID: 28064241]
  17. Int J Environ Res Public Health. 2018 Feb 27;15(3): [PMID: 29495474]
  18. Balkan Med J. 2016 Jul;33(4):377-82 [PMID: 27606131]
  19. Cult Health Sex. 2019 Mar;21(3):249-262 [PMID: 29764305]
  20. Int J Nurs Sci. 2018 Jan 17;5(1):33-38 [PMID: 31406798]
  21. Reprod Health. 2017 Jan 5;14(1):1 [PMID: 28057003]
  22. Int J Hyg Environ Health. 2020 May;226:113506 [PMID: 32247253]
  23. BMC Public Health. 2017 Jan 28;17(1):128 [PMID: 28129754]
  24. Cent Eur J Public Health. 2011 Sep;19(3):139-42 [PMID: 22026288]
  25. Eur J Public Health. 2016 Aug;26(4):686-92 [PMID: 26989125]
  26. Geroscience. 2020 Aug;42(4):1063-1074 [PMID: 32677025]
  27. Cent Eur J Public Health. 2019 Mar;27(1):24-31 [PMID: 30927393]
  28. Int J Public Health. 2017 Sep;62(7):803-815 [PMID: 28357445]
  29. Front Public Health. 2017 Aug 21;5:213 [PMID: 28871278]
  30. Eur J Clin Microbiol Infect Dis. 2014 Aug;33(8):1401-6 [PMID: 24619113]
  31. Int J Environ Res Public Health. 2018 Feb 02;15(2): [PMID: 29393919]
  32. Ethn Health. 2003 Aug;8(3):223-49 [PMID: 14577997]
  33. Croat Med J. 2007 Oct;48(5):708-19 [PMID: 17948957]
  34. BMC Fam Pract. 2020 Jan 28;21(1):19 [PMID: 31992209]
  35. Geroscience. 2022 Oct;44(5):2361-2369 [PMID: 35864376]
  36. Mater Sociomed. 2022 Mar;34(1):50-54 [PMID: 35801064]

MeSH Term

Humans
Female
Slovakia
Hungary
Romania
Roma
Adult
Middle Aged
Health Status Disparities
Socioeconomic Factors
Minority Groups
Aged
Health Status

Word Cloud

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