Intrinsic Capacity Predictors of Dementia and Mortality in the Sydney Memory and Ageing Study.
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| Title: | Intrinsic Capacity Predictors of Dementia and Mortality in the Sydney Memory and Ageing Study. |
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| Authors: | Numbers, Katya (AUTHOR), Samtani, Suraj (AUTHOR), Hanewald, Katja (AUTHOR), Cheung, Jared (AUTHOR), Sachdev, Perminder S. (AUTHOR), Brodaty, Henry (AUTHOR) |
| Source: | International Journal of Geriatric Psychiatry. Oct2025, Vol. 40 Issue 10, p1-10. 10p. |
| Subjects: | Diagnosis of dementia, Cognition disorders diagnosis, Psychological aspects of aging, Mortality, Sense organs, Vital signs, Predictive tests, Consensus (Social sciences), Pearson correlation (Statistics), Health status indicators, Research funding, Questionnaires, Frail elderly, Structural equation modeling, Descriptive statistics, Longitudinal method, Physical fitness, Neuropsychological tests, Dementia, Psychological tests, Survival analysis (Biometry), Factor analysis, Data analysis software, Proportional hazards models, Human locomotion |
| Geographic Terms: | Australia |
| Abstract: | Background: Intrinsic Capacity (IC) is a developing concept focussed on promoting healthy ageing by maintaining functional abilities. It has been proposed as a better predictor of outcomes like dementia and mortality, compared to traditional frailty measures that focus on deficits. This study aims to replicate the five‐factor structure of IC among older adults in Australia and to evaluate its effectiveness in predicting long‐term health outcomes, in comparison with existing frailty measures. Methods: IC scores were computed for 400 older adults aged 70 to 90 participating in the Sydney Memory and Ageing Study (MAS). Structural equation modelling, including second‐order confirmatory analysis, was used to compute the five IC domains. Cox proportional hazard models were used to compare the predictive value of the second‐order IC factor with the Frailty Phenotype and Frailty Index for dementia over 10 years and mortality over 12 years. Results: Factor loadings for the IC structure yielded five subgroups (cognitive function, psychological health, locomotive ability, sensory function, vital function) with one global factor. The structure had good fit (SRMR = 0.054, GFI = 0.966). IC was associated with lower hazard (risk) of dementia (HR = 0.567, p < 0.001) over 10‐year and lower hazard of mortality (HR = 0.649, p < 0.001) over 12‐year, controlling for age, sex, and education. Finally, IC explained additional variance beyond the Frailty Phenotype when predicting both incident dementia and mortality risk. Compared with the Frailty Index, IC contributed additional variance for dementia risk but not for mortality. Conclusion: Evaluation of a person's IC at baseline explains additional variance compared to traditional frailty measures when predicting the risk of future negative health outcomes such as dementia incidence and mortality. Key Points: The World Health Organisation proposed Intrinsic Capacity as a more holistic measure of capacity than purely disability or frailty scales.This study replicated the five factors of the Intrinsic Capacity measure in an Australian community sample aged 70–90 years who were dementia‐free at baseline.Intrinsic capacity proved to be superior to frailty measures in predicting risk of dementia over 10 years of follow up and mortality over 12 years of follow up. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Geriatric Psychiatry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 188898665 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Intrinsic Capacity Predictors of Dementia and Mortality in the Sydney Memory and Ageing Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Numbers%2C+Katya%22">Numbers, Katya</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Samtani%2C+Suraj%22">Samtani, Suraj</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hanewald%2C+Katja%22">Hanewald, Katja</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cheung%2C+Jared%22">Cheung, Jared</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sachdev%2C+Perminder+S%2E%22">Sachdev, Perminder S.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Brodaty%2C+Henry%22">Brodaty, Henry</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Geriatric+Psychiatry%22">International Journal of Geriatric Psychiatry</searchLink>. Oct2025, Vol. 40 Issue 10, p1-10. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Diagnosis+of+dementia%22">Diagnosis of dementia</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition+disorders+diagnosis%22">Cognition disorders diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+aspects+of+aging%22">Psychological aspects of aging</searchLink><br /><searchLink fieldCode="DE" term="%22Mortality%22">Mortality</searchLink><br /><searchLink fieldCode="DE" term="%22Sense+organs%22">Sense organs</searchLink><br /><searchLink fieldCode="DE" term="%22Vital+signs%22">Vital signs</searchLink><br /><searchLink fieldCode="DE" term="%22Predictive+tests%22">Predictive tests</searchLink><br /><searchLink fieldCode="DE" term="%22Consensus+%28Social+sciences%29%22">Consensus (Social sciences)</searchLink><br /><searchLink fieldCode="DE" term="%22Pearson+correlation+%28Statistics%29%22">Pearson correlation (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Health+status+indicators%22">Health status indicators</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Frail+elderly%22">Frail elderly</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+fitness%22">Physical fitness</searchLink><br /><searchLink fieldCode="DE" term="%22Neuropsychological+tests%22">Neuropsychological tests</searchLink><br /><searchLink fieldCode="DE" term="%22Dementia%22">Dementia</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+tests%22">Psychological tests</searchLink><br /><searchLink fieldCode="DE" term="%22Survival+analysis+%28Biometry%29%22">Survival analysis (Biometry)</searchLink><br /><searchLink fieldCode="DE" term="%22Factor+analysis%22">Factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Proportional+hazards+models%22">Proportional hazards models</searchLink><br /><searchLink fieldCode="DE" term="%22Human+locomotion%22">Human locomotion</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Australia%22">Australia</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: Intrinsic Capacity (IC) is a developing concept focussed on promoting healthy ageing by maintaining functional abilities. It has been proposed as a better predictor of outcomes like dementia and mortality, compared to traditional frailty measures that focus on deficits. This study aims to replicate the five‐factor structure of IC among older adults in Australia and to evaluate its effectiveness in predicting long‐term health outcomes, in comparison with existing frailty measures. Methods: IC scores were computed for 400 older adults aged 70 to 90 participating in the Sydney Memory and Ageing Study (MAS). Structural equation modelling, including second‐order confirmatory analysis, was used to compute the five IC domains. Cox proportional hazard models were used to compare the predictive value of the second‐order IC factor with the Frailty Phenotype and Frailty Index for dementia over 10 years and mortality over 12 years. Results: Factor loadings for the IC structure yielded five subgroups (cognitive function, psychological health, locomotive ability, sensory function, vital function) with one global factor. The structure had good fit (SRMR = 0.054, GFI = 0.966). IC was associated with lower hazard (risk) of dementia (HR = 0.567, p < 0.001) over 10‐year and lower hazard of mortality (HR = 0.649, p < 0.001) over 12‐year, controlling for age, sex, and education. Finally, IC explained additional variance beyond the Frailty Phenotype when predicting both incident dementia and mortality risk. Compared with the Frailty Index, IC contributed additional variance for dementia risk but not for mortality. Conclusion: Evaluation of a person's IC at baseline explains additional variance compared to traditional frailty measures when predicting the risk of future negative health outcomes such as dementia incidence and mortality. Key Points: The World Health Organisation proposed Intrinsic Capacity as a more holistic measure of capacity than purely disability or frailty scales.This study replicated the five factors of the Intrinsic Capacity measure in an Australian community sample aged 70–90 years who were dementia‐free at baseline.Intrinsic capacity proved to be superior to frailty measures in predicting risk of dementia over 10 years of follow up and mortality over 12 years of follow up. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Geriatric Psychiatry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/gps.70156 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Subjects: – SubjectFull: Diagnosis of dementia Type: general – SubjectFull: Cognition disorders diagnosis Type: general – SubjectFull: Psychological aspects of aging Type: general – SubjectFull: Mortality Type: general – SubjectFull: Sense organs Type: general – SubjectFull: Vital signs Type: general – SubjectFull: Predictive tests Type: general – SubjectFull: Consensus (Social sciences) Type: general – SubjectFull: Pearson correlation (Statistics) Type: general – SubjectFull: Health status indicators Type: general – SubjectFull: Research funding Type: general – SubjectFull: Questionnaires Type: general – SubjectFull: Frail elderly Type: general – SubjectFull: Structural equation modeling Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Longitudinal method Type: general – SubjectFull: Physical fitness Type: general – SubjectFull: Neuropsychological tests Type: general – SubjectFull: Dementia Type: general – SubjectFull: Psychological tests Type: general – SubjectFull: Survival analysis (Biometry) Type: general – SubjectFull: Factor analysis Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Proportional hazards models Type: general – SubjectFull: Human locomotion Type: general – SubjectFull: Australia Type: general Titles: – TitleFull: Intrinsic Capacity Predictors of Dementia and Mortality in the Sydney Memory and Ageing Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Numbers, Katya – PersonEntity: Name: NameFull: Samtani, Suraj – PersonEntity: Name: NameFull: Hanewald, Katja – PersonEntity: Name: NameFull: Cheung, Jared – PersonEntity: Name: NameFull: Sachdev, Perminder S. – PersonEntity: Name: NameFull: Brodaty, Henry IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 08856230 Numbering: – Type: volume Value: 40 – Type: issue Value: 10 Titles: – TitleFull: International Journal of Geriatric Psychiatry Type: main |
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