Evidence map›Paper›PMID 26879201›Full record

Observational studyOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2016

Lower leg muscle density is independently associated with fall status in community-dwelling older adults.

A W Frank-Wilson, J P Farthing, P D Chilibeck, C M Arnold, K S Davison, W P Olszynski, S A Kontulainen

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Underexplored terrain: effects of high priority environmental toxicants on skeletal muscle.Journal of toxicology and environmental health. Part B, Critical reviews · 2026
    Review
  4. Article
  5. Review
  6. Creatine monohydrate supplementation for older adults and clinical populations.Journal of the International Society of Sports Nutrition · 2025
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Assessment of myosteatosis and functionality in pretreatment gynecological cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Observational
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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

7 authors.

A W Frank-WilsonCollege of Kinesiology, University of Saskatchewan, 87 Campus Drive, Saskatoon, SK, S7N5B2, Canada. andrew.frank-wilson@usask.ca.ORCID 0000-0002-5486-239X
J P FarthingCollege of Kinesiology, University of Saskatchewan, 87 Campus Drive, Saskatoon, SK, S7N5B2, Canada.
P D ChilibeckCollege of Kinesiology, University of Saskatchewan, 87 Campus Drive, Saskatoon, SK, S7N5B2, Canada.
C M ArnoldSchool of Physical Therapy, University of Saskatchewan, Saskatoon, SK, Canada.
K S DavisonUniversity of Victoria, Victoria, BC, Canada.
W P OlszynskiSaskatoon Osteoporosis and CaMOs Centre, Saskatoon, SK, Canada.
S A KontulainenCollege of Kinesiology, University of Saskatchewan, 87 Campus Drive, Saskatoon, SK, S7N5B2, Canada. s.kontulainen@usask.ca.

Funding

CIHR MOP98002
6 · The paper itself

Abstract

unlabelledMuscle density is a risk factor for fractures in older adults; however, its association with falls is not well described. After adjusting for biologically relevant confounding factors, a unit decrease in muscle density was associated with a 17 % increase in odds of reporting a fall, independent of functional mobility.

introductionFalls are the leading cause of injury, disability, and fractures in older adults. Low muscle density (i.e., caused by muscle adiposity) and functional mobility have been identified as risk factors for incident disability and fractures in older adults; however, it is not known if these are also independently associated with falls. The purpose of this study was to explore the associations of muscle density and functional mobility with fall status.

methodsCross-sectional observational study of 183 men and women aged 60-98 years. Descriptive data, including a 12-month fall recall, Timed Up and Go (TUG) test performance, lower leg muscle area, and density. Odds ratio (OR) of being a faller were calculated, adjusted for age, sex, body mass index, general health status, diabetes, and comorbidities.

resultsEvery mg/cm(3) increase in muscle density (mean 70.2, SD 2.6 mg/cm(3)) independently reduced the odds of being a faller by 19 % (OR 0.81 [95 % CI 0.67 to 0.97]), and every 1 s longer TUG test time (mean 9.8, SD 2.6 s) independently increased the odds by 17 % (OR 1.17 [95 % CI 1.01 to 1.37]). When both muscle density and TUG test time were included in the same model, only age (OR 0.93 [95 % CI 0.87 to 0.99]) and muscle density (OR 0.83 [95 % CI 0.69 to 0.99]) were independently associated with fall status.

conclusionsMuscle density was associated with fall status, independent of functional mobility. Muscle density may compliment functional mobility tests as a biometric outcome for assessing fall risk in well-functioning older adults.

Indexed as

Accidental FallsAgedAged, 80 and overCross-Sectional StudiesFemaleGeriatric AssessmentHumansIndependent LivingMaleMiddle AgedMuscle, SkeletalRisk FactorsFall riskFunctional mobilityMuscle adiposityMyosteatosispQCT

Identifiers

What OpenQuestion holds

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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.