Evidence map›Paper›PMID 42861734›Full record

ArticleAustralasian journal on ageing2026

Long-Term Determinants of Lean Mass in Ageing Adults: A 17-Year Longitudinal Cohort Study With Repeated Measures.

Aminu Suleiman, Mojtaba Lotfaliany, Lana J Williams, Kara B Anderson, Emma C West, Amanda L Stuart, Julie A Pasco

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In one paragraph

Article in Australasian journal on ageing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Aminu SuleimanDeakin IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia.ORCID https://orcid.org/0000-0002-4732-4454
Mojtaba LotfalianyDeakin IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia.
Lana J WilliamsDeakin IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia.ORCID https://orcid.org/0000-0002-1377-1272
Kara B AndersonDeakin IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia.ORCID https://orcid.org/0000-0002-7798-180X
Emma C WestDeakin IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia.ORCID https://orcid.org/0000-0001-9559-7003
Amanda L StuartDeakin IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia.ORCID https://orcid.org/0000-0001-8770-9511
Julie A PascoDeakin IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Victoria, Australia.ORCID https://orcid.org/0000-0002-8968-4714

Funding

Deakin UniversityNational Health and Medical Research Council 251638National Health and Medical Research Council 299831National Health and Medical Research Council 628582NHMRC Emerging Leader Fellowship 1174060
6 · The paper itself

Abstract

objectiveAge-related loss of lean mass is a hallmark of sarcopenia and a contributor to functional decline and morbidity in ageing populations. This study aimed to identify long-term determinants of lean mass during ageing.

methodsData from 3033 participants (ages 20-96 years; 49% women) in the Geelong Osteoporosis Study were analysed using linear mixed effect models with random intercepts. Appendicular lean mass (ALM) was derived from arm and leg lean mass measured using dual-energy X-ray absorptiometry. Time-varying covariates were included; missing data were imputed using predictive mean matching.

resultsOver 16.7 years (IQR 9.7-23.2), women and older participants had lower ALM (β = -8.36; 95% CI -8.58, -8.15; β = -0.07; 95% CI -0.08, -0.06). Higher ALM was associated with socio-economic status (0.33; 0.14, 0.51), dietary calcium intake (0.46; 0.20, 0.67), femoral neck BMD (0.38; 0.29, 0.47) and thyroid hormone therapy (0.52; 0.04, 0.99). Physical inactivity (-0.48; -0.65, -0.31), smoking (-0.24; -0.46, -0.06) and stroke history (-0.51; -0.96, -0.07) were associated with lower ALM. Non-linear associations were observed for follow-up duration (fu: β = -0.16; fu

conclusionsSociodemographic, lifestyle, anthropometric, clinical, biochemical and treatment-related factors show independent associations with longitudinal changes in ALM.

Indexed as

AgingBody CompositionMuscle, SkeletalSarcopeniaAbsorptiometry, PhotonAdultAgedAged, 80 and overAge FactorsBone DensityFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk Factorsbody compositioncohort studyhealthy aginglifestylelinear model

Identifiers

PMID42861734
PMCPMC13656336

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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.