Evidence map›Paper›PMID 41086232›Full record

ArticleInternational journal of geriatric psychiatry2025

Intrinsic Capacity Predictors of Dementia and Mortality in the Sydney Memory and Ageing Study.

Katya Numbers, Suraj Samtani, Katja Hanewald, Jared Cheung, Perminder S Sachdev, Henry Brodaty

Abstract read
In one paragraph

Article in International journal of geriatric psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Katya NumbersCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0002-7009-2401
Suraj SamtaniCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia.
Katja HanewaldSchool of Risk & Actuarial Studies, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0001-9932-2840
Jared CheungCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia.
Perminder S SachdevCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia.
Henry BrodatyCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0001-9487-6617

Funding

National Health and Medical Research Council APP1093083National Health and Medical Research Council ID350833,National Health and Medical Research Council ID568969
6 · The paper itself

Abstract

backgroundIntrinsic 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.

methodsIC 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.

resultsFactor 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.

conclusionEvaluation 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.

Indexed as

AgingDementiaFrailtyAgedAged, 80 and overAustraliaFemaleFrail ElderlyGeriatric AssessmentHumansMaleProportional Hazards Modelscognitive ageingfrailtyintrinsic capacityrisk factors

Identifiers

PMID41086232
PMCPMC12560156

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.