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The impact of multimorbidity patterns on health-related quality of life in the general population: results of the Belgian Health Interview Survey

BACKGROUND: Chronic diseases and multimorbidity are a major cause of disease burden—for patients, caregivers, and society. Little is known however about potential interaction effects between specific disease combinations. Besides an additive effect, the presence of multiple conditions could also act...

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Autores principales: Van Wilder, Lisa, Devleesschauwer, Brecht, Clays, Els, De Buyser, Stefanie, Van der Heyden, Johan, Charafeddine, Rana, Boeckxstaens, Pauline, De Bacquer, Dirk, Vandepitte, Sophie, De Smedt, Delphine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847309/
https://www.ncbi.nlm.nih.gov/pubmed/34424487
http://dx.doi.org/10.1007/s11136-021-02951-w
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author Van Wilder, Lisa
Devleesschauwer, Brecht
Clays, Els
De Buyser, Stefanie
Van der Heyden, Johan
Charafeddine, Rana
Boeckxstaens, Pauline
De Bacquer, Dirk
Vandepitte, Sophie
De Smedt, Delphine
author_facet Van Wilder, Lisa
Devleesschauwer, Brecht
Clays, Els
De Buyser, Stefanie
Van der Heyden, Johan
Charafeddine, Rana
Boeckxstaens, Pauline
De Bacquer, Dirk
Vandepitte, Sophie
De Smedt, Delphine
author_sort Van Wilder, Lisa
collection PubMed
description BACKGROUND: Chronic diseases and multimorbidity are a major cause of disease burden—for patients, caregivers, and society. Little is known however about potential interaction effects between specific disease combinations. Besides an additive effect, the presence of multiple conditions could also act synergistically or antagonistically regarding the impact on patients’ health-related quality of life (HRQoL). The aim was to estimate the impact of coexisting chronic diseases on HRQoL of the adult general Belgian population. METHODS: The Belgian Health Interview Survey 2018 provided data on self-reported chronic conditions and HRQoL (EQ-5D-5L) for a nationally representative sample. Linear mixed models were used to analyze two-way and three-way interactions of disease combinations on HRQoL. RESULTS: Multimorbidity had a prevalence of 46.7% (≥ 2 conditions) and 29.7% (≥ 3 conditions). HRQoL decreased considerably with the presence of multiple chronic diseases. 14 out of 41 dyad combinations and 5 out of 13 triad combinations showed significant interactions, with a dominant presence of negative/synergistic effects. Positive/antagonistic effects were found in more subjective chronic diseases such as depression and chronic fatigue. Conditions appearing the most frequently in significant disease pair interactions were dorsopathies, respiratory diseases, and arthropathies. CONCLUSIONS: Diverse multimorbidity patterns, both dyads and triads, were synergistically or antagonistically associated with lower HRQoL. Tackling the burden of multimorbidity is needed, especially because most disease combinations affect each other synergistically, resulting in a greater reduction in HRQoL. Further knowledge about those multimorbidity patterns with a greater impact on HRQoL is needed to better understand disease burden beyond mortality and morbidity data. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-021-02951-w.
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spelling pubmed-88473092022-02-23 The impact of multimorbidity patterns on health-related quality of life in the general population: results of the Belgian Health Interview Survey Van Wilder, Lisa Devleesschauwer, Brecht Clays, Els De Buyser, Stefanie Van der Heyden, Johan Charafeddine, Rana Boeckxstaens, Pauline De Bacquer, Dirk Vandepitte, Sophie De Smedt, Delphine Qual Life Res Article BACKGROUND: Chronic diseases and multimorbidity are a major cause of disease burden—for patients, caregivers, and society. Little is known however about potential interaction effects between specific disease combinations. Besides an additive effect, the presence of multiple conditions could also act synergistically or antagonistically regarding the impact on patients’ health-related quality of life (HRQoL). The aim was to estimate the impact of coexisting chronic diseases on HRQoL of the adult general Belgian population. METHODS: The Belgian Health Interview Survey 2018 provided data on self-reported chronic conditions and HRQoL (EQ-5D-5L) for a nationally representative sample. Linear mixed models were used to analyze two-way and three-way interactions of disease combinations on HRQoL. RESULTS: Multimorbidity had a prevalence of 46.7% (≥ 2 conditions) and 29.7% (≥ 3 conditions). HRQoL decreased considerably with the presence of multiple chronic diseases. 14 out of 41 dyad combinations and 5 out of 13 triad combinations showed significant interactions, with a dominant presence of negative/synergistic effects. Positive/antagonistic effects were found in more subjective chronic diseases such as depression and chronic fatigue. Conditions appearing the most frequently in significant disease pair interactions were dorsopathies, respiratory diseases, and arthropathies. CONCLUSIONS: Diverse multimorbidity patterns, both dyads and triads, were synergistically or antagonistically associated with lower HRQoL. Tackling the burden of multimorbidity is needed, especially because most disease combinations affect each other synergistically, resulting in a greater reduction in HRQoL. Further knowledge about those multimorbidity patterns with a greater impact on HRQoL is needed to better understand disease burden beyond mortality and morbidity data. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-021-02951-w. Springer International Publishing 2021-08-23 2022 /pmc/articles/PMC8847309/ /pubmed/34424487 http://dx.doi.org/10.1007/s11136-021-02951-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Van Wilder, Lisa
Devleesschauwer, Brecht
Clays, Els
De Buyser, Stefanie
Van der Heyden, Johan
Charafeddine, Rana
Boeckxstaens, Pauline
De Bacquer, Dirk
Vandepitte, Sophie
De Smedt, Delphine
The impact of multimorbidity patterns on health-related quality of life in the general population: results of the Belgian Health Interview Survey
title The impact of multimorbidity patterns on health-related quality of life in the general population: results of the Belgian Health Interview Survey
title_full The impact of multimorbidity patterns on health-related quality of life in the general population: results of the Belgian Health Interview Survey
title_fullStr The impact of multimorbidity patterns on health-related quality of life in the general population: results of the Belgian Health Interview Survey
title_full_unstemmed The impact of multimorbidity patterns on health-related quality of life in the general population: results of the Belgian Health Interview Survey
title_short The impact of multimorbidity patterns on health-related quality of life in the general population: results of the Belgian Health Interview Survey
title_sort impact of multimorbidity patterns on health-related quality of life in the general population: results of the belgian health interview survey
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847309/
https://www.ncbi.nlm.nih.gov/pubmed/34424487
http://dx.doi.org/10.1007/s11136-021-02951-w
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