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To what extent do socioeconomic inequalities in SRH reflect inequalities in burden of disease? The HELIUS study

BACKGROUND: Self-rated health (SRH), an attractive measure for health monitoring, shows persistent inequalities with regard to socioeconomic status (SES). However, knowledge on the extent to which inequalities in SRH reflect inequalities in disease burden is lacking. METHODS: Data come from the mult...

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Autores principales: Galenkamp, Henrike, van Oers, Hans, Stronks, Karien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7685859/
https://www.ncbi.nlm.nih.gov/pubmed/31838505
http://dx.doi.org/10.1093/pubmed/fdz173
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author Galenkamp, Henrike
van Oers, Hans
Stronks, Karien
author_facet Galenkamp, Henrike
van Oers, Hans
Stronks, Karien
author_sort Galenkamp, Henrike
collection PubMed
description BACKGROUND: Self-rated health (SRH), an attractive measure for health monitoring, shows persistent inequalities with regard to socioeconomic status (SES). However, knowledge on the extent to which inequalities in SRH reflect inequalities in disease burden is lacking. METHODS: Data come from the multi-ethnic HEalthy LIfe in an Urban Setting study (Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish or Moroccan origin, N = 19 379, aged 18–70). SES was defined by educational and occupational level. Disease burden was operationalized as chronic diseases, physical and mental functioning (measured with SF-12) and depressive symptoms (measured with PHQ-9). We applied logistic regression analyses and reported average marginal effects (AME). RESULTS: Dutch origin participants with low educational or low occupational level had higher probabilities of reporting fair/poor SRH, compared to the highest levels (AME = 0.20 95% CI: 0.13;0.27; and 0.12 (0.09;0.15), respectively). Associations were attenuated after adjusting for all disease burden indicators, to AME = 0.03 (0.01;0.04) and AME = 0.02 (−0.00;0.04). In all the non-Dutch origin groups, a larger part of the inequalities remained after adjustment. CONCLUSION: Socioeconomic inequalities in SRH are for a large part explained by higher disease burden in lower socioeconomic groups, but less so in those with non-Dutch origin. Future research should examine if our conclusions also hold for trend data on inequalities in SRH.
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spelling pubmed-76858592020-12-01 To what extent do socioeconomic inequalities in SRH reflect inequalities in burden of disease? The HELIUS study Galenkamp, Henrike van Oers, Hans Stronks, Karien J Public Health (Oxf) Original Article BACKGROUND: Self-rated health (SRH), an attractive measure for health monitoring, shows persistent inequalities with regard to socioeconomic status (SES). However, knowledge on the extent to which inequalities in SRH reflect inequalities in disease burden is lacking. METHODS: Data come from the multi-ethnic HEalthy LIfe in an Urban Setting study (Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish or Moroccan origin, N = 19 379, aged 18–70). SES was defined by educational and occupational level. Disease burden was operationalized as chronic diseases, physical and mental functioning (measured with SF-12) and depressive symptoms (measured with PHQ-9). We applied logistic regression analyses and reported average marginal effects (AME). RESULTS: Dutch origin participants with low educational or low occupational level had higher probabilities of reporting fair/poor SRH, compared to the highest levels (AME = 0.20 95% CI: 0.13;0.27; and 0.12 (0.09;0.15), respectively). Associations were attenuated after adjusting for all disease burden indicators, to AME = 0.03 (0.01;0.04) and AME = 0.02 (−0.00;0.04). In all the non-Dutch origin groups, a larger part of the inequalities remained after adjustment. CONCLUSION: Socioeconomic inequalities in SRH are for a large part explained by higher disease burden in lower socioeconomic groups, but less so in those with non-Dutch origin. Future research should examine if our conclusions also hold for trend data on inequalities in SRH. Oxford University Press 2019-12-13 /pmc/articles/PMC7685859/ /pubmed/31838505 http://dx.doi.org/10.1093/pubmed/fdz173 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Faculty of Public Health. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Article
Galenkamp, Henrike
van Oers, Hans
Stronks, Karien
To what extent do socioeconomic inequalities in SRH reflect inequalities in burden of disease? The HELIUS study
title To what extent do socioeconomic inequalities in SRH reflect inequalities in burden of disease? The HELIUS study
title_full To what extent do socioeconomic inequalities in SRH reflect inequalities in burden of disease? The HELIUS study
title_fullStr To what extent do socioeconomic inequalities in SRH reflect inequalities in burden of disease? The HELIUS study
title_full_unstemmed To what extent do socioeconomic inequalities in SRH reflect inequalities in burden of disease? The HELIUS study
title_short To what extent do socioeconomic inequalities in SRH reflect inequalities in burden of disease? The HELIUS study
title_sort to what extent do socioeconomic inequalities in srh reflect inequalities in burden of disease? the helius study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7685859/
https://www.ncbi.nlm.nih.gov/pubmed/31838505
http://dx.doi.org/10.1093/pubmed/fdz173
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