Evidence map›Paper›PMID 37073873›Full record

ArticleJournal of cachexia, sarcopenia and muscle2023

Impaired muscle function, including its decline, is related to greater long-term late-life dementia risk in older women.

Simone Radavelli-Bagatini, Helen Macpherson, David Scott, Robin M Daly, Jonathan M Hodgson, Simon M Laws, Kun Zhu, Richard L Prince, Joshua R Lewis, Marc Sim

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. The crossroads between osteosarcopenia and intrinsic capacity-a narrative review.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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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

10 authors at 3 institutions in 1 country.

Simone Radavelli-BagatiniNutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.
Helen MacphersonInstitute of Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia.
David ScottInstitute of Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia.
Robin M DalyInstitute of Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia.
Jonathan M HodgsonNutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.
Simon M LawsCentre for Precision Health, Edith Cowan University, Joondalup, WA, Australia.
Kun ZhuMedical School, University of Western Australia, Crawley, WA, Australia.
Richard L PrinceMedical School, University of Western Australia, Crawley, WA, Australia.
Joshua R LewisNutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.
Marc SimNutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.ORCID 0000-0001-5166-0605
Edith Cowan University · AUDeakin University · AUThe University of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImpaired muscle function has been identified as a risk factor for declining cognitive function and cardiovascular health, both of which are risk factors for late-life dementia (after 80 years of age). We examined whether hand grip strength and timed-up-and-go (TUG) performance, including their change over 5 years, were associated with late-life dementia events in older women and whether any associations provided independent information to Apolipoprotein E

methodsGrip strength and TUG were assessed in community-dwelling older women (mean ± SD; age 75.0 ± 2.6 years) at baseline (n = 1225) and 5 years (n = 1052). Incident 14.5-year late-life dementia events (dementia-related hospitalization/death) were obtained from linked health records. Cardiovascular risk factors (Framingham Risk Score), APOE genotyping, prevalent atherosclerotic vascular disease and cardiovascular-related medications were evaluated at baseline. These were included in multivariable-adjusted Cox-proportional hazards models assessing the relationship between muscle function measures and late-life-dementia events.

resultsOver follow-up, 207 (16.9%) women had a late-life dementia event. Compared with women with the highest grip strength (Quartile [Q] 4, 25.8 kg), those with the lowest grip strength (Q1, 16.0 kg) had greater hazard for a late-life dementia event (HR 2.27 95% CI 1.54-3.35, P < 0.001). For TUG, the slowest women (Q4, 12.4 vs. Q1, 7.4 s) also recorded a greater hazard for a late-life dementia event (HR 2.10 95% CI 1.42-3.10, P = 002). Weak hand grip (<22 kg) or slow TUG (>10.2 s) provided independent information to the presence of an APOE

conclusionsWeaker grip strength and slower TUG, and a greater decline over 5 years, were significant risk factors for a late-life-dementia event in community-dwelling older women, independent of lifestyle and genetic risk factors. Incorporating muscle function measures as part of dementia screening appears useful to identify high-risk individuals who might benefit from primary prevention programmes.

Indexed as

DementiaHand StrengthAgedFemaleHumansIndependent LivingMusclesRisk FactorsAlzheimer's diseaseCognitive functionGrip strengthTimed-up-and-go

Identifiers

PMID37073873
PMCPMC10235875
OpenAlexW4366351212

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.