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Socio-economic factors associated with the 1‑year prevalence of severe pain and pain-related sickness absence in the Austrian population
BACKGROUND: The aim of this study was to (1) investigate the relation of socio-economic status (SES), measured as education, occupation, and income, with the 12-month prevalence of severe pain and with pain-related sickness absence, and (2) analyse to what extent sociodemographic and medical factors...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5772134/ https://www.ncbi.nlm.nih.gov/pubmed/28639082 http://dx.doi.org/10.1007/s00508-017-1222-y |
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author | Mittendorfer-Rutz, Ellenor Dorner, Thomas Ernst |
author_facet | Mittendorfer-Rutz, Ellenor Dorner, Thomas Ernst |
author_sort | Mittendorfer-Rutz, Ellenor |
collection | PubMed |
description | BACKGROUND: The aim of this study was to (1) investigate the relation of socio-economic status (SES), measured as education, occupation, and income, with the 12-month prevalence of severe pain and with pain-related sickness absence, and (2) analyse to what extent sociodemographic and medical factors influence these associations. METHODS: The study population comprised 8084 subjects aged between 15 and 65 years from the Austrian Health Interview Survey in 2006/07. Associations of SES with the 1‑year prevalence of severe pain and sickness absence due to pain in those with severe pain was assessed with logistic regression analysis and adjusted for socio-demographic and chronic medical conditions. RESULTS: The 1‑year prevalence of severe pain was 33.7%. Among those with severe pain, 32.9% were on sickness absence due to pain. SES was significantly associated with the prevalence of severe pain and even more strongly with sickness absence due to pain. Stepwise adjustment for socio-demographics and medical factors had only marginal effects on these associations. Multivariate odds ratios (ORs) for severe pain were 1.14; 1.18 and 1.32 for low income, blue-collar workers, and low education, respectively. Related ORs for sickness absence due to pain were 1.52; 1.14 and 2.05. CONCLUSIONS: There was an association between SES, particularly measured as educational level, and the prevalence of severe pain, which was even stronger with sickness absence due to pain. |
format | Online Article Text |
id | pubmed-5772134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-57721342018-01-30 Socio-economic factors associated with the 1‑year prevalence of severe pain and pain-related sickness absence in the Austrian population Mittendorfer-Rutz, Ellenor Dorner, Thomas Ernst Wien Klin Wochenschr Original Article BACKGROUND: The aim of this study was to (1) investigate the relation of socio-economic status (SES), measured as education, occupation, and income, with the 12-month prevalence of severe pain and with pain-related sickness absence, and (2) analyse to what extent sociodemographic and medical factors influence these associations. METHODS: The study population comprised 8084 subjects aged between 15 and 65 years from the Austrian Health Interview Survey in 2006/07. Associations of SES with the 1‑year prevalence of severe pain and sickness absence due to pain in those with severe pain was assessed with logistic regression analysis and adjusted for socio-demographic and chronic medical conditions. RESULTS: The 1‑year prevalence of severe pain was 33.7%. Among those with severe pain, 32.9% were on sickness absence due to pain. SES was significantly associated with the prevalence of severe pain and even more strongly with sickness absence due to pain. Stepwise adjustment for socio-demographics and medical factors had only marginal effects on these associations. Multivariate odds ratios (ORs) for severe pain were 1.14; 1.18 and 1.32 for low income, blue-collar workers, and low education, respectively. Related ORs for sickness absence due to pain were 1.52; 1.14 and 2.05. CONCLUSIONS: There was an association between SES, particularly measured as educational level, and the prevalence of severe pain, which was even stronger with sickness absence due to pain. Springer Vienna 2017-06-21 2018 /pmc/articles/PMC5772134/ /pubmed/28639082 http://dx.doi.org/10.1007/s00508-017-1222-y Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Mittendorfer-Rutz, Ellenor Dorner, Thomas Ernst Socio-economic factors associated with the 1‑year prevalence of severe pain and pain-related sickness absence in the Austrian population |
title | Socio-economic factors associated with the 1‑year prevalence of severe pain and pain-related sickness absence in the Austrian population |
title_full | Socio-economic factors associated with the 1‑year prevalence of severe pain and pain-related sickness absence in the Austrian population |
title_fullStr | Socio-economic factors associated with the 1‑year prevalence of severe pain and pain-related sickness absence in the Austrian population |
title_full_unstemmed | Socio-economic factors associated with the 1‑year prevalence of severe pain and pain-related sickness absence in the Austrian population |
title_short | Socio-economic factors associated with the 1‑year prevalence of severe pain and pain-related sickness absence in the Austrian population |
title_sort | socio-economic factors associated with the 1‑year prevalence of severe pain and pain-related sickness absence in the austrian population |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5772134/ https://www.ncbi.nlm.nih.gov/pubmed/28639082 http://dx.doi.org/10.1007/s00508-017-1222-y |
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