Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117116
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dc.contributorDepartment of Rehabilitation Sciences-
dc.creatorShe, Ren_US
dc.creatorVetrano, DLen_US
dc.creatorLeung, MKWen_US
dc.creatorJiang, Hen_US
dc.creatorQiu, Cen_US
dc.date.accessioned2026-02-03T03:50:39Z-
dc.date.available2026-02-03T03:50:39Z-
dc.identifier.issn1279-7707en_US
dc.identifier.urihttp://hdl.handle.net/10397/117116-
dc.language.isoenen_US
dc.publisherElsevier Massonen_US
dc.rights© 2024 The Authors. Published by Elsevier Masson SAS on behalf of SERDI Publisher. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication ACS Applied Materials & Interfaces 2024 16 (37), 49148-49163 is available at https://doi.org/10.1016/j.jnha.2024.100305.en_US
dc.subjectBidirectional associationen_US
dc.subjectDeathen_US
dc.subjectFrailtyen_US
dc.subjectMultimorbidityen_US
dc.subjectPopulation-based studyen_US
dc.titleDifferential interplay between multimorbidity patterns and frailty and their mutual mediation effect on mortality in old ageen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume28en_US
dc.identifier.issue8en_US
dc.identifier.doi10.1016/j.jnha.2024.100305en_US
dcterms.abstractBackground: Multimorbidity and frailty often concurrently occur among older adults.-
dcterms.abstractObjectives: To assess the reciprocal association between multimorbidity (condition count and patterns) and frailty and examine the mutual mediation effect of multimorbidity and frailty in their associations with mortality among Chinese older adults.-
dcterms.abstractMethods: This nationwide population-based longitudinal study included 16,563 participants aged ≥65 years in the Chinese Longitudinal Healthy Longevity Survey who were surveyed in 2008 and followed up in 2011, 2014, and 2018. Frailty phenotype was assessed by the modified Fried criteria and vital status was ascertained from family members. Cross-lagged panel model (CLPM) was used to test bidirectional associations between multimorbidity and frailty. The direct and indirect effects of multimorbidity and frailty on mortality were evaluated using the combined CLPM with survival analysis.-
dcterms.abstractResults: Three multimorbidity patterns were identified: cardiometabolic diseases, cognitive-sensory disorder, and arthritis-digestive-respiratory diseases. The number of chronic conditions and cognitive-sensory disease pattern showed bidirectional associations with frailty across waves (range for β: 0.046−0.109; all P < 0.001), while cardiometabolic and arthritis-digestive-respiratory patterns unidirectionally predicted frailty change. Furthermore, frailty mediated 23%–27% of the association between multimorbidity and mortality. Only the number of conditions and cognitive-sensory disease pattern were significant mediators in the association between frailty and mortality, with the proportion of mediation ranging 4%–12%.-
dcterms.abstractConclusions: Multimorbidity measures including condition count and cognitive-sensory disease pattern are bi-directionally associated with frailty in older adults. These multimorbidity measures and frailty partially mediated each other's association with mortality, with frailty acting as a more prominent pathway in the association between multimorbidity and mortality.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of nutrition, health and aging, Aug. 2024, v. 28, no. 8, 100305en_US
dcterms.isPartOfJournal of nutrition, health and agingen_US
dcterms.issued2024-08-
dc.identifier.scopus2-s2.0-85197660084-
dc.identifier.pmid38970850-
dc.identifier.eissn1760-4788en_US
dc.identifier.artn100305en_US
dc.description.validate202602 bcjz-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextWe thank the CLHLS team for providing data and training in using the datasets. RS received the Start-up Fund from the Hong Kong Polytechnic University (ref no.: P0043489), Hong Kong, China. All authors meet the criteria for authorship stated in the Uniform Requirements for Manuscripts Submitted to Biomedical Journals, and their specific areas of contributions are listed as below: (1) study concept and design: RS; (2) acquisition of data: RS and HJ; (3) analysis and interpretation of data: RS and HJ; (4) drafting of the manuscript: RS and HJ; (5) critical revision of the manuscript for important intellectual content: DLV, ML, and CQ.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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