Evidence map›Paper›PMID 27239404›Full record

ArticleJournal of cachexia, sarcopenia and muscle2016

Accelerometer-determined physical activity, muscle mass, and leg strength in community-dwelling older adults.

Yi Chao Foong, Nabil Chherawala, Dawn Aitken, David Scott, Tania Winzenberg, Graeme Jones

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Article in Journal of cachexia, sarcopenia and muscle, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 2 pooled it
–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

77 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  11. Body composition and functional capacity as determinants of physical activity in middle-aged and older adults: a cross-sectional analysis.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025
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17 more citing papers are in PubMed but not listed here.

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.

Yi Chao FoongMenzies Institute for Medical Research University of Tasmania Private Bag 23 Hobart Tasmania 7000 Australia; North West Regional Hospital Burnie Tasmania 7250 Australia.
Nabil ChherawalaMenzies Institute for Medical Research University of Tasmania Private Bag 23 Hobart Tasmania 7000 Australia.
Dawn AitkenMenzies Institute for Medical Research University of Tasmania Private Bag 23 Hobart Tasmania 7000 Australia.
David ScottDepartment of Medicine, School of Clinical Sciences, Faculty of Medicine, Nursing and Health Sciences Monash University Clayton Victoria 3146 Australia; NorthWest Academic Centre The University of Melbourne St Albans Victoria 3021 Australia.
Tania WinzenbergMenzies Institute for Medical Research University of Tasmania Private Bag 23 Hobart Tasmania 7000 Australia; Faculty of Health University of Tasmania Hobart Tasmania 7000 Australia.
Graeme JonesMenzies Institute for Medical Research University of Tasmania Private Bag 23 Hobart Tasmania 7000 Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aim of this study was to describe the relationship between accelerometer-determined physical activity (PA), muscle mass, and lower-limb strength in community-dwelling older adults.

methodsSix hundred thirty-six community-dwelling older adults (66 ± 7 years) were studied. Muscle mass was measured using dual-energy x-ray absorptiometry, whilst lower limb strength was measured via dynamometry. We measured minutes/day spent in sedentary, light, moderate, and vigorous intensity activity using Actigraph GT1M accelerometers.

resultsParticipants spent a median of 583(Interquartile ratio (IQR) 522-646), 225(176-271), 27(12-45) and 0(0-0) min in sedentary, light, moderate, and vigorous activity, respectively. PA intensity was positively associated with both lean mass percentage and lower limb strength in a dose-response fashion. Sedentary activity was negatively associated with lean mass percentage, but not lower-limb strength. There was a positive association between PA and appendicular lean mass in men only. There was an interaction between age and activity; as age increased, the magnitude of the association of PA with lean mass percentage decreased. Those who adhered to the Australian Department of Health PA guidelines (moderate/vigorous PA >/=150 min/week) had greater lean mass percentage, appendicular lean mass, and lower limb strength.

conclusionsUsing accelerometer technology, both the amount and intensity of accelerometer-determined PA had an independent, dose-response relationship with lean mass percentage and lower limb strength, with the largest effect for vigorous activity. Time spent in sedentary activity was negatively associated with lean mass percentage, but was not associated with lower limb strength. The magnitude of the association between PA and lean mass percentage decreased with age, suggesting that PA programmes may need to be modified with increasing age.

Indexed as

AccelerometerMuscle massPhysical activityStrength

Identifiers

PMID27239404
PMCPMC4863829

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.