Prevalence and patterns of multimorbidity in Australian baby boomers : the Busselton healthy ageing study

dc.contributor.authorHunter, Michael L.
dc.contributor.authorKnuiman, Matthew W.
dc.contributor.authorMusk, Bill (A.W.)
dc.contributor.authorHui, Jennie
dc.contributor.authorMurray, Kevin
dc.contributor.authorBeilby, John P.
dc.contributor.authorHillman, David R.
dc.contributor.authorHung, Joseph
dc.contributor.authorNewton, Robert U.
dc.contributor.authorBucks, Romola S.
dc.contributor.authorStraker, Leon
dc.contributor.authorWalsh, John P.
dc.contributor.authorZhu, Kun
dc.contributor.authorBruce, David G.
dc.contributor.authorEikelboom, Robert H.
dc.contributor.authorDavis, Timothy M.E.
dc.contributor.authorMackey, David A.
dc.contributor.authorJames, Alan L.
dc.date.accessioned2022-02-09T09:55:44Z
dc.date.available2022-02-09T09:55:44Z
dc.date.issued2021-08-11
dc.descriptionAdditional file 1. Supplementary File 1. BHAS Phase 1 Questionnaire 2010–2015.en_ZA
dc.descriptionAdditional file 2. Supplementary File 2. Statistical Supplement. Latent Class Analysis method.en_ZA
dc.descriptionAdditional file 3. Supplementary Table S1. Mean, median and maximum number of conditions by gender and demographic groups.en_ZA
dc.descriptionAdditional file 4. Supplementary Table S2. Relationship between number of conditions and participant characteristics.en_ZA
dc.descriptionAdditional file 5 Supplementary Table S3. All triplets of conditions with prevalence > 1.5% and observed/expected (O/E) ratio > 1.5 (and p value< 0.0001).en_ZA
dc.descriptionAdditional file 6. Supplementary Table S4. Morbidity patterns and number of conditions. Number of participants with each number of conditions and percentage within each morbidity pattern.en_ZA
dc.description.abstractBACKGROUND 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 depressionanxiety (> 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.en_ZA
dc.description.departmentSpeech-Language Pathology and Audiologyen_ZA
dc.description.librarianam2022en_ZA
dc.description.sponsorshipData collection and research assistant salary costs in the Busselton Healthy Ageing Study were supported by grants from the Government of Western Australia (Department of Jobs, Tourism, Science and Innovation), the Commonwealth Government (Department of Health), the City of Busselton and from private donations to the Busselton Population Medical Research Institute.en_ZA
dc.description.urihttps://bmcpublichealth.biomedcentral.comen_ZA
dc.identifier.citationHunter, M.L., Knuiman, M.W., Musk, B.A.W. et al. 2021, 'Prevalence and patterns of multimorbidity in Australian baby boomers : the Busselton healthy ageing study', BMC Public Health, vol. 21, art. 1539, pp. 1-12.en_ZA
dc.identifier.issn1471-2458 (online)
dc.identifier.other10.1186/s12889-021-11578-y
dc.identifier.urihttp://hdl.handle.net/2263/83708
dc.language.isoenen_ZA
dc.publisherBioMed Centralen_ZA
dc.rights© The Author(s). 2021 Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License.en_ZA
dc.subjectMultimorbidityen_ZA
dc.subjectAgeingen_ZA
dc.subjectCo-morbiditiesen_ZA
dc.subjectMiddle-ageden_ZA
dc.subjectChronic diseaseen_ZA
dc.subjectBusselton healthy ageing study (BHAS)en_ZA
dc.titlePrevalence and patterns of multimorbidity in Australian baby boomers : the Busselton healthy ageing studyen_ZA
dc.typeArticleen_ZA

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