Evidence map›Paper›PMID 32984908›Full record

ArticleCalcified tissue international2021

Skeletal Muscle Density and Cognitive Function: A Cross-Sectional Study in Men.

Sophia X Sui, Lana J Williams, Kara L Holloway-Kew, Natalie K Hyde, Kara B Anderson, Monica C Tembo, Alex B Addinsall, Sarah Leach, Julie A Pasco

Abstract read
PubMed Publisher
In one paragraph

Article in Calcified tissue international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  7. Plasma proteomic analysis of intermuscular fat links muscle integrity with processing speed in older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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  17. Review
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  19. Fatty Liver Index and Skeletal Muscle Density.Calcified tissue international · 2022
    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

9 authors at 2 institutions in 1 country.

Sophia X SuiDeakin University, IMPACT Institute, Geelong, VIC, Australia. ssui@deakin.edu.au.ORCID http://orcid.org/0000-0001-6388-1261
Lana J WilliamsDeakin University, IMPACT Institute, Geelong, VIC, Australia.ORCID http://orcid.org/0000-0002-1377-1272
Kara L Holloway-KewDeakin University, IMPACT Institute, Geelong, VIC, Australia.ORCID http://orcid.org/0000-0001-5064-2990
Natalie K HydeDeakin University, IMPACT Institute, Geelong, VIC, Australia.ORCID http://orcid.org/0000-0002-0693-2904
Kara B AndersonDeakin University, IMPACT Institute, Geelong, VIC, Australia.ORCID http://orcid.org/0000-0002-7798-180X
Monica C TemboDeakin University, IMPACT Institute, Geelong, VIC, Australia.ORCID http://orcid.org/0000-0003-1210-2437
Alex B AddinsallDeakin University, IMPACT Institute, Geelong, VIC, Australia.
Sarah LeachGMHBA, Geelong, VIC, Australia.
Julie A PascoDeakin University, IMPACT Institute, Geelong, VIC, Australia.ORCID http://orcid.org/0000-0002-8968-4714
Deakin University · AUBarwon Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to investigate cross-sectional associations between skeletal muscle density, a proxy measure for fatty infiltration into muscle, and cognition. Contributions from body fat mass, systemic inflammation and lifestyle were explored, as these factors have been identified in both muscle and cognitive deterioration. For 281 men (60-95 year) from the Geelong Osteoporosis Study, radial and tibial muscle density were measured using peripheral quantitative computed tomography. Body fat and appendicular lean mass were measured using dual-energy X-ray absorptiometry. Cognitive function was assessed for psychomotor function (DET), visual identification/attention (IDN), visual learning (OCL) and working memory (OBK) (CogState Brief Battery). Composite scores signified overall cognitive function (OCF). Higher scores represent poorer performance except for OCL and OCF. Regression analyses examined associations between muscle density and cognition; potential confounders included age, muscle cross-sectional area (CSA), body composition, lifestyle and serum markers of inflammation. Negative associations with age were evident for muscle density, all cognitive domains and OCF. Muscle density at both sites was positively associated with DET, OCL and OCF. After adjustment for age, the association persisted for DET (radius: B =  - 0.006, p = 0.02; tibia: B =  - 0.003, p = 0.04) and OCL (radius B =  + 0.004, p = 0.02; tibia: B =  + 0.005, p < 0.001). At the radius, further adjustment for serum TNF-α explained the association between muscle density (B =  - 0.002, p = 0.66) and DET. Education and physical activity contributed to the model for radial muscle density and DET. There were no contributions from muscle CSA, appendicular lean mass, body fat mass, other markers of inflammation or other potential confounders. At the tibia, the association between muscle density and DET (B =  - 0.003, p = 0.04) was independent of TNF-α. There was an age-adjusted association between muscle density and OCL at both sites (radius: B =  + 0.004, p = 0.02; tibia: B =  + 0.005, p < 0.001). None of the potential confounders contributed to the models. Muscle density was associated with cognitive function in the DET and OCL domains. However, there was little evidence that this was explained by inflammation or body fat mass. No associations were identified between muscle density and IDN or OBK.

Indexed as

Body CompositionCognitionMuscle, SkeletalAbsorptiometry, PhotonAdiposityAgedAged, 80 and overBone DensityCross-Sectional StudiesHumansMaleMiddle AgedCognitive domainsMuscle densityOlder menPeripheral quantitative computed tomographyPopulation-based study

Identifiers

PMID32984908
OpenAlexW3088436893

What OpenQuestion holds

Textmetadata
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.