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Widening inequalities in multimorbidity? Time trends among the working population between 2005 and 2015 based on German health insurance data

BACKGROUND: Previous research has produced evidence for social inequalities in multimorbidity, but little is known on how these disparities change over time. Our study investigates the development of social inequalities in multimorbidity among the middle-aged and older working population. Special at...

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Autores principales: Tetzlaff, Juliane, Epping, Jelena, Sperlich, Stefanie, Eberhard, Sveja, Stahmeyer, Jona Theodor, Geyer, Siegfried
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048702/
https://www.ncbi.nlm.nih.gov/pubmed/30012163
http://dx.doi.org/10.1186/s12939-018-0815-z
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author Tetzlaff, Juliane
Epping, Jelena
Sperlich, Stefanie
Eberhard, Sveja
Stahmeyer, Jona Theodor
Geyer, Siegfried
author_facet Tetzlaff, Juliane
Epping, Jelena
Sperlich, Stefanie
Eberhard, Sveja
Stahmeyer, Jona Theodor
Geyer, Siegfried
author_sort Tetzlaff, Juliane
collection PubMed
description BACKGROUND: Previous research has produced evidence for social inequalities in multimorbidity, but little is known on how these disparities change over time. Our study investigates the development of social inequalities in multimorbidity among the middle-aged and older working population. Special attention is paid to whether differing time trends between socio-economic status (SES) groups have taken place, increasing or decreasing inequalities in multimorbidity. METHODS: The analyses are based on claims data of a German statutory health insurance company covering an observation period from 2005 to 2015. Multimorbidity prevalence risks are estimated using logistic generalized estimation equations (GEE) models. Predicted probabilities of multimorbidity prevalence are used to assess time trends in absolute social inequalities in terms of educational level, income, and occupational group. RESULTS: The prevalence risks of multimorbidity rose among all SES groups and social gradients persist throughout the observation period, indicating significantly higher multimorbidity prevalence risks for individuals with lower SES. Widening absolute inequalities are found among men in terms of educational level and among women in terms of occupational groups. CONCLUSIONS: The increases in multimorbidity prevalence among the working population are accompanied by widening social inequalities, pointing towards a growing disadvantage for men and women in lower SES groups. The rising burden and the increasing inequalities among the working population stress the importance of multimorbidity as a major public health concern. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12939-018-0815-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-60487022018-07-19 Widening inequalities in multimorbidity? Time trends among the working population between 2005 and 2015 based on German health insurance data Tetzlaff, Juliane Epping, Jelena Sperlich, Stefanie Eberhard, Sveja Stahmeyer, Jona Theodor Geyer, Siegfried Int J Equity Health Research BACKGROUND: Previous research has produced evidence for social inequalities in multimorbidity, but little is known on how these disparities change over time. Our study investigates the development of social inequalities in multimorbidity among the middle-aged and older working population. Special attention is paid to whether differing time trends between socio-economic status (SES) groups have taken place, increasing or decreasing inequalities in multimorbidity. METHODS: The analyses are based on claims data of a German statutory health insurance company covering an observation period from 2005 to 2015. Multimorbidity prevalence risks are estimated using logistic generalized estimation equations (GEE) models. Predicted probabilities of multimorbidity prevalence are used to assess time trends in absolute social inequalities in terms of educational level, income, and occupational group. RESULTS: The prevalence risks of multimorbidity rose among all SES groups and social gradients persist throughout the observation period, indicating significantly higher multimorbidity prevalence risks for individuals with lower SES. Widening absolute inequalities are found among men in terms of educational level and among women in terms of occupational groups. CONCLUSIONS: The increases in multimorbidity prevalence among the working population are accompanied by widening social inequalities, pointing towards a growing disadvantage for men and women in lower SES groups. The rising burden and the increasing inequalities among the working population stress the importance of multimorbidity as a major public health concern. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12939-018-0815-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-07-16 /pmc/articles/PMC6048702/ /pubmed/30012163 http://dx.doi.org/10.1186/s12939-018-0815-z Text en © The Author(s). 2018 Open AccessThis 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Tetzlaff, Juliane
Epping, Jelena
Sperlich, Stefanie
Eberhard, Sveja
Stahmeyer, Jona Theodor
Geyer, Siegfried
Widening inequalities in multimorbidity? Time trends among the working population between 2005 and 2015 based on German health insurance data
title Widening inequalities in multimorbidity? Time trends among the working population between 2005 and 2015 based on German health insurance data
title_full Widening inequalities in multimorbidity? Time trends among the working population between 2005 and 2015 based on German health insurance data
title_fullStr Widening inequalities in multimorbidity? Time trends among the working population between 2005 and 2015 based on German health insurance data
title_full_unstemmed Widening inequalities in multimorbidity? Time trends among the working population between 2005 and 2015 based on German health insurance data
title_short Widening inequalities in multimorbidity? Time trends among the working population between 2005 and 2015 based on German health insurance data
title_sort widening inequalities in multimorbidity? time trends among the working population between 2005 and 2015 based on german health insurance data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048702/
https://www.ncbi.nlm.nih.gov/pubmed/30012163
http://dx.doi.org/10.1186/s12939-018-0815-z
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