Evidence map›Paper›PMID 33715139›Full record

ArticleAging clinical and experimental research2021

Static one-leg standing balance test as a screening tool for low muscle mass in healthy elderly women.

Praval Khanal, Lingxiao He, Georgina K Stebbings, Gladys L Onambele-Pearson, Hans Degens, Alun G Williams, Martine Thomis, Christopher I Morse

Open access · hybridAbstract read
In one paragraph

Article in Aging clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

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  16. Modified Squat Test for Predicting Knee Muscle Strength in Older Adults.Annals of geriatric medicine and research · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 3 countries.

Praval KhanalDepartment of Sport and Exercise Sciences, Manchester Metropolitan University, Manchester, M15 6BH, UK. praval.khanal@gmail.com.ORCID http://orcid.org/0000-0003-2060-8446
Lingxiao HeDepartment of Sport and Exercise Sciences, Manchester Metropolitan University, Manchester, M15 6BH, UK.
Georgina K StebbingsDepartment of Sport and Exercise Sciences, Manchester Metropolitan University, Manchester, M15 6BH, UK.
Gladys L Onambele-PearsonDepartment of Sport and Exercise Sciences, Manchester Metropolitan University, Manchester, M15 6BH, UK.
Hans DegensDivision of Health Science, Manchester Metropolitan University, Manchester, UK.
Alun G WilliamsDepartment of Sport and Exercise Sciences, Manchester Metropolitan University, Manchester, M15 6BH, UK.
Martine ThomisDepartment of Movement Sciences, Physical Activity, Sports and Health Research Group, KU Leuven, Leuven, Belgium.
Christopher I MorseDepartment of Sport and Exercise Sciences, Manchester Metropolitan University, Manchester, M15 6BH, UK.
Manchester Metropolitan University · GBKU Leuven · BE

Funding

Erasmus Mundus Erasmus Mundus Joint Doctorate programme (2011-0015)
6 · The paper itself

Abstract

backgroundIdentification of simple screening tools for detecting lower skeletal muscle mass may be beneficial for planning effective interventions in the elderly.

aimsWe aimed to (1) establish a threshold for one-leg standing balance test (OLST) time for low muscle mass, and (2) test the ability of that threshold to assess muscular impairments in a poor balance group.

methodsEyes-open OLST (maximum duration 30 s) was performed with right and left legs in 291 women (age 71 ± 6 years). OLST time was calculated as the sum of the OLST time of right and left legs. Fat-free mass (FFM), skeletal muscle mass (SMM), fat mass, biceps brachii and vastus lateralis sizes; handgrip strength (HGS), elbow flexion maximum torque (MVC

resultsThe OLST threshold time to detect low muscle mass was 55 s (sensitivity: 0.63; specificity: 0.60). The poor balance group (OLST < 55 s) had higher fat mass (3.0%, p < 0.001), larger VL thickness (5.1%, p = 0.016), and lower HGS (- 10.2%, p < 0.001), MVC DISCUSSION: An OLST threshold of 55 s calculated as the summed score from both legs discriminated pre-sarcopenic characteristics among active, community-dwelling older women with limited potential (sensitivity 0.63, specificity 0.60).

conclusionOLST, which can be performed easily in community settings without the need for more complex muscle mass measurement, may help identify women at risk of developing sarcopenia.

Indexed as

LegSarcopeniaAgedFemaleHand StrengthHumansIndependent LivingMuscle, SkeletalMuscle StrengthOne-leg standing balancePre-sarcopeniaScreening toolSkeletal muscle phenotypes

Identifiers

PMID33715139
PMCPMC8249245
OpenAlexW3137119774

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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.