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Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey

BACKGROUND: Studies on the prevalence of multimorbidity, defined as having two or more chronic conditions, have predominantly focused on the elderly. We estimated the prevalence and specific patterns of multimorbidity across different adult age groups. Furthermore, we examined the associations of mu...

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Autores principales: Agborsangaya, Calypse B, Lau, Darren, Lahtinen, Markus, Cooke, Tim, Johnson, Jeffrey A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3353224/
https://www.ncbi.nlm.nih.gov/pubmed/22429338
http://dx.doi.org/10.1186/1471-2458-12-201
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author Agborsangaya, Calypse B
Lau, Darren
Lahtinen, Markus
Cooke, Tim
Johnson, Jeffrey A
author_facet Agborsangaya, Calypse B
Lau, Darren
Lahtinen, Markus
Cooke, Tim
Johnson, Jeffrey A
author_sort Agborsangaya, Calypse B
collection PubMed
description BACKGROUND: Studies on the prevalence of multimorbidity, defined as having two or more chronic conditions, have predominantly focused on the elderly. We estimated the prevalence and specific patterns of multimorbidity across different adult age groups. Furthermore, we examined the associations of multimorbidity with socio-demographic factors. METHODS: Using data from the Health Quality Council of Alberta (HQCA) 2010 Patient Experience Survey, the prevalence of self reported multimorbidity was assessed by telephone interview among a sample of 5010 adults (18 years and over) from the general population. Logistic regression analyses were performed to determine the association between a range of socio-demographic factors and multimorbidity. RESULTS: The overall age- and sex-standardized prevalence of multimorbidity was 19.0% in the surveyed general population. Of those with multimorbidity, 70.2% were aged less than 65 years. The most common pairing of chronic conditions was chronic pain and arthritis. Age, sex, income and family structure were independently associated with multimorbidity. CONCLUSIONS: Multimorbidity is a common occurrence in the general adult population, and is not limited to the elderly. Future prevention programs and practice guidelines should take into account the common patterns of multimorbidity.
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spelling pubmed-33532242012-05-16 Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey Agborsangaya, Calypse B Lau, Darren Lahtinen, Markus Cooke, Tim Johnson, Jeffrey A BMC Public Health Research Article BACKGROUND: Studies on the prevalence of multimorbidity, defined as having two or more chronic conditions, have predominantly focused on the elderly. We estimated the prevalence and specific patterns of multimorbidity across different adult age groups. Furthermore, we examined the associations of multimorbidity with socio-demographic factors. METHODS: Using data from the Health Quality Council of Alberta (HQCA) 2010 Patient Experience Survey, the prevalence of self reported multimorbidity was assessed by telephone interview among a sample of 5010 adults (18 years and over) from the general population. Logistic regression analyses were performed to determine the association between a range of socio-demographic factors and multimorbidity. RESULTS: The overall age- and sex-standardized prevalence of multimorbidity was 19.0% in the surveyed general population. Of those with multimorbidity, 70.2% were aged less than 65 years. The most common pairing of chronic conditions was chronic pain and arthritis. Age, sex, income and family structure were independently associated with multimorbidity. CONCLUSIONS: Multimorbidity is a common occurrence in the general adult population, and is not limited to the elderly. Future prevention programs and practice guidelines should take into account the common patterns of multimorbidity. BioMed Central 2012-03-19 /pmc/articles/PMC3353224/ /pubmed/22429338 http://dx.doi.org/10.1186/1471-2458-12-201 Text en Copyright ©2012 Agborsangaya et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Agborsangaya, Calypse B
Lau, Darren
Lahtinen, Markus
Cooke, Tim
Johnson, Jeffrey A
Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey
title Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey
title_full Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey
title_fullStr Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey
title_full_unstemmed Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey
title_short Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey
title_sort multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3353224/
https://www.ncbi.nlm.nih.gov/pubmed/22429338
http://dx.doi.org/10.1186/1471-2458-12-201
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