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Prevalence and patterns of multimorbidity in Australian baby boomers: the Busselton healthy ageing study
BACKGROUND AND OBJECTIVE: Chronic medical conditions accumulate within individuals with age. However, knowledge concerning the trends, patterns and determinants of multimorbidity remains limited. This study assessed the prevalence and patterns of multimorbidity using extensive individual phenotyping...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359115/ https://www.ncbi.nlm.nih.gov/pubmed/34380465 http://dx.doi.org/10.1186/s12889-021-11578-y |
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author | Hunter, Michael L. Knuiman, Matthew W. Musk, Bill (A.W.) Hui, Jennie Murray, Kevin Beilby, John P. Hillman, David R. Hung, Joseph Newton, Robert U. Bucks, Romola S. Straker, Leon Walsh, John P. Zhu, Kun Bruce, David G. Eikelboom, Robert H. Davis, Timothy M. E. Mackey, David A. James, Alan L. |
author_facet | Hunter, Michael L. Knuiman, Matthew W. Musk, Bill (A.W.) Hui, Jennie Murray, Kevin Beilby, John P. Hillman, David R. Hung, Joseph Newton, Robert U. Bucks, Romola S. Straker, Leon Walsh, John P. Zhu, Kun Bruce, David G. Eikelboom, Robert H. Davis, Timothy M. E. Mackey, David A. James, Alan L. |
author_sort | Hunter, Michael L. |
collection | PubMed |
description | BACKGROUND AND OBJECTIVE: Chronic medical conditions accumulate within individuals with age. However, knowledge concerning the trends, patterns and determinants of multimorbidity remains limited. This study assessed the prevalence and patterns of multimorbidity using extensive individual phenotyping in a general population of Australian middle-aged adults. METHODS: Participants (n = 5029, 55% female), born between 1946 and 1964 and attending the cross-sectional phase of the Busselton Healthy Ageing Study (BHAS) between 2010 and 2015, were studied. Prevalence of 21 chronic conditions was estimated using clinical measurement, validated instrument scores and/or self-reported doctor-diagnosis. Non-random patterns of multimorbidity were explored using observed/expected (O/E) prevalence ratios and latent class analysis (LCA). Variables associated with numbers of conditions and class of multimorbidity were investigated. RESULTS: The individual prevalence of 21 chronic conditions ranged from 2 to 54% and multimorbidity was common with 73% of the cohort having 2 or more chronic conditions. (mean ± SD 2.75 ± 1.84, median = 2.00, range 0–13). The prevalence of multimorbidity increased with age, obesity, physical inactivity, tobacco smoking and family history of asthma, diabetes, myocardial infarct or cancer. There were 13 pairs and 27 triplets of conditions identified with a prevalence > 1.5% and O/E > 1.5. Of the triplets, arthritis (> 50%), bowel disease (> 33%) and depression-anxiety (> 33%) were observed most commonly. LCA modelling identified 4 statistically and clinically distinct classes of multimorbidity labelled as: 1) “Healthy” (70%) with average of 1.95 conditions; 2) “Respiratory and Atopy” (11%, 3.65 conditions); 3) “Non-cardiometabolic” (14%, 4.77 conditions), and 4) “Cardiometabolic” (5%, 6.32 conditions). Predictors of multimorbidity class membership differed between classes and differed from predictors of number of co-occurring conditions. CONCLUSION: Multimorbidity is common among middle-aged adults from a general population. Some conditions associated with ageing such as arthritis, bowel disease and depression-anxiety co-occur in clinically distinct patterns and at higher prevalence than expected by chance. These findings may inform further studies into shared biological and environmental causes of co-occurring conditions of ageing. Recognition of distinct patterns of multimorbidity may aid in a holistic approach to care management in individuals presenting with multiple chronic conditions, while also guiding health resource allocation in ageing populations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11578-y. |
format | Online Article Text |
id | pubmed-8359115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83591152021-08-16 Prevalence and patterns of multimorbidity in Australian baby boomers: the Busselton healthy ageing study Hunter, Michael L. Knuiman, Matthew W. Musk, Bill (A.W.) Hui, Jennie Murray, Kevin Beilby, John P. Hillman, David R. Hung, Joseph Newton, Robert U. Bucks, Romola S. Straker, Leon Walsh, John P. Zhu, Kun Bruce, David G. Eikelboom, Robert H. Davis, Timothy M. E. Mackey, David A. James, Alan L. BMC Public Health Research Article BACKGROUND AND OBJECTIVE: Chronic medical conditions accumulate within individuals with age. However, knowledge concerning the trends, patterns and determinants of multimorbidity remains limited. This study assessed the prevalence and patterns of multimorbidity using extensive individual phenotyping in a general population of Australian middle-aged adults. METHODS: Participants (n = 5029, 55% female), born between 1946 and 1964 and attending the cross-sectional phase of the Busselton Healthy Ageing Study (BHAS) between 2010 and 2015, were studied. Prevalence of 21 chronic conditions was estimated using clinical measurement, validated instrument scores and/or self-reported doctor-diagnosis. Non-random patterns of multimorbidity were explored using observed/expected (O/E) prevalence ratios and latent class analysis (LCA). Variables associated with numbers of conditions and class of multimorbidity were investigated. RESULTS: The individual prevalence of 21 chronic conditions ranged from 2 to 54% and multimorbidity was common with 73% of the cohort having 2 or more chronic conditions. (mean ± SD 2.75 ± 1.84, median = 2.00, range 0–13). The prevalence of multimorbidity increased with age, obesity, physical inactivity, tobacco smoking and family history of asthma, diabetes, myocardial infarct or cancer. There were 13 pairs and 27 triplets of conditions identified with a prevalence > 1.5% and O/E > 1.5. Of the triplets, arthritis (> 50%), bowel disease (> 33%) and depression-anxiety (> 33%) were observed most commonly. LCA modelling identified 4 statistically and clinically distinct classes of multimorbidity labelled as: 1) “Healthy” (70%) with average of 1.95 conditions; 2) “Respiratory and Atopy” (11%, 3.65 conditions); 3) “Non-cardiometabolic” (14%, 4.77 conditions), and 4) “Cardiometabolic” (5%, 6.32 conditions). Predictors of multimorbidity class membership differed between classes and differed from predictors of number of co-occurring conditions. CONCLUSION: Multimorbidity is common among middle-aged adults from a general population. Some conditions associated with ageing such as arthritis, bowel disease and depression-anxiety co-occur in clinically distinct patterns and at higher prevalence than expected by chance. These findings may inform further studies into shared biological and environmental causes of co-occurring conditions of ageing. Recognition of distinct patterns of multimorbidity may aid in a holistic approach to care management in individuals presenting with multiple chronic conditions, while also guiding health resource allocation in ageing populations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11578-y. BioMed Central 2021-08-11 /pmc/articles/PMC8359115/ /pubmed/34380465 http://dx.doi.org/10.1186/s12889-021-11578-y 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Hunter, Michael L. Knuiman, Matthew W. Musk, Bill (A.W.) Hui, Jennie Murray, Kevin Beilby, John P. Hillman, David R. Hung, Joseph Newton, Robert U. Bucks, Romola S. Straker, Leon Walsh, John P. Zhu, Kun Bruce, David G. Eikelboom, Robert H. Davis, Timothy M. E. Mackey, David A. James, Alan L. Prevalence and patterns of multimorbidity in Australian baby boomers: the Busselton healthy ageing study |
title | Prevalence and patterns of multimorbidity in Australian baby boomers: the Busselton healthy ageing study |
title_full | Prevalence and patterns of multimorbidity in Australian baby boomers: the Busselton healthy ageing study |
title_fullStr | Prevalence and patterns of multimorbidity in Australian baby boomers: the Busselton healthy ageing study |
title_full_unstemmed | Prevalence and patterns of multimorbidity in Australian baby boomers: the Busselton healthy ageing study |
title_short | Prevalence and patterns of multimorbidity in Australian baby boomers: the Busselton healthy ageing study |
title_sort | prevalence and patterns of multimorbidity in australian baby boomers: the busselton healthy ageing study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359115/ https://www.ncbi.nlm.nih.gov/pubmed/34380465 http://dx.doi.org/10.1186/s12889-021-11578-y |
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