health differences between roma and non-roma in the slovak dialyzed population
Clicks: 188
ID: 198044
2018
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
30.0
/100
187 views
17 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Background: Roma health has not been studied systematically. Thus far, it has been shown that Roma compared to non-Roma have a significantly higher likelihood of getting end-stage renal disease and that their chances for survival on dialysis are lower. Evidence is lacking regarding morbidity between Roma and non-Roma. The aim was to compare the health status of dialyzed Roma and non-Roma using the Charlson comorbidity index (CCI). All Slovak dialysis centers for adults were asked to fill in a questionaire with demographic and clinical data, including comorbidity. Cross-sectional analysis of 2082 patients with an average age of 63.8 ± 13.8 years was performed. Comorbidity was expressed as the CCI, and ethnic differences were calculated. Linear regression was performed to adjust for differences in gender and age in both ethnic groups. Roma represented 13.0% of the whole dialyzed population (n = 270). Comorbidity expressed as CCI was significantly lower in the Roma population (p < 0.001). After adjusting for gender and age, ethnicity failed to be associated with the CCI in the linear regression analysis (p = 0.965, variance of the model—adjusted R2 38.6%). The health status of dialyzed Slovak Roma does not differ cross-sectionally when adjusted for age and gender from the health status of dialyzed non-Roma.
| Reference Key |
kolvek2018internationalhealth
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Gabriel Kolvek;Zuzana Straussova;Maria Majernikova;Jaroslav Rosenberger;Jitse P. van Dijk |
| Journal | archives of biochemistry and biophysics |
| Year | 2018 |
| DOI |
10.3390/ijerph15020360
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.