Evidence map›Paper›PMID 34271880›Full record

ArticleBMC geriatrics2021

Using hand grip strength to detect slow walking speed in older adults: the Yilan study.

Yen-Huai Lin, Hsi-Chung Chen, Nai-Wei Hsu, Pesus Chou

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PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

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  19. Contribution of Home Gardens to Sustainable Development: Perspectives from A Supported Opinion Essay.International journal of environmental research and public health · 2022
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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

4 authors.

Yen-Huai LinDepartment of Medical Imaging, Cheng Hsin General Hospital, Taipei, Taiwan.
Hsi-Chung ChenDepartment of Psychiatry and Center of Sleep Disorders, National Taiwan University Hospital, Taipei, Taiwan.
Nai-Wei HsuDepartment of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan. davidnwh@ms28.hinet.net.
Pesus ChouCommunity Medicine Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.

Funding

Ministry of Science and Technology, Taiwan MOST 108-2314-B-002 -110 -MY2National Taiwan University Hospital UN110-021
6 · The paper itself

Abstract

backgroundWalking speed is an important health indicator in older adults, although its measurement can be challenging because of the functional decline due to aging and limited environment. The aim of this study was to examine whether hand grip strength can be a useful proxy for detecting slow walking speed in this population.

methodsA cross-sectional study was conducted using the cohort from the Yilan Study in Taiwan. Community-dwelling older adults aged 65 years and older were included. Slow walking speed was defined as a 6-meter walking speed < 1.0 m/s, according to the 2019 Asian Working Group for Sarcopenia diagnostic criteria. Stepwise multiple linear regression was used to determine the most significant variables associated with walking speed. Receiver operating characteristic analysis was used to determine the optimal cutoff values for hand grip strength in detecting slow walking speed.

resultsA total of 301 participants with an average age of 73.9 ± 6.8 years were included; 55.1 % participants were women. In stepwise multiple linear regression analysis that included various variables, hand grip strength was found to be the most explainable factor associated with walking speed among all participants and among participants of each sex. The optimal cutoff values for hand grip strength in the detection of slow walking speed were 19.73 kg for all participants (sensitivity: 55 %, specificity: 83 %, area under the curve: 0.74, accuracy: 66.9 %), 35.10 kg for men (sensitivity: 92 %, specificity: 42 %, area under the curve: 0.70, accuracy: 66.4 %), and 17.93 kg for women (sensitivity: 62 %, specificity: 80 %, area under the curve: 0.76, accuracy: 67.9 %).

conclusionsHand grip strength was found to be a useful proxy for the identification of slow walking speed in older adults.

Indexed as

SarcopeniaWalking SpeedAgedAged, 80 and overCross-Sectional StudiesFemaleHand StrengthHumansIndependent LivingMaleWalkingHand grip strengthWalking speedYilan study

Identifiers

PMID34271880
PMCPMC8285830

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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.