Evidence map›Paper›PMID 36531514›Full record

ArticleJournal of frailty, sarcopenia and falls2022

Is handgrip strength a useful tool to detect slow walking speed in older Indian adults: A cross-sectional study among geriatric outpatients in a tertiary care hospital in South India.

Reuben Jerrald Felix, Rakesh Mishra, Jini Chirackel Thomas, Benny Paul Wilson, Antonisamy Belavendra, Gopinath Kango Gopal

Abstract read
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Article in Journal of frailty, sarcopenia and falls, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

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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

8 citing papers in PubMed.

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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

6 authors.

Reuben Jerrald FelixDepartment of Geriatrics, Christian Medical College Vellore, India.
Rakesh MishraDepartment of Geriatrics, Christian Medical College Vellore, India.
Jini Chirackel ThomasDepartment of Geriatrics, Christian Medical College Vellore, India.
Benny Paul WilsonDepartment of Geriatrics, Christian Medical College Vellore, India.
Antonisamy BelavendraDepartment of Biostatistics, Christian medical College Vellore, India.
Gopinath Kango GopalDepartment of Geriatrics, Christian Medical College Vellore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To determine whether handgrip strength can be used as a proxy for detecting slow walking speed in older adults. Measuring walking speed in older adults can be challenging as cognitive and functional decline may have a significant impact on test performance. Methods: Hundred subjects aged >/= 60 were recruited. Slow walking speed was defined as walking speed <1.0 m/s. Handgrip strength was measured using handheld dynamometer. Multiple linear regression analysis was used to determine the relationship between the two. Results: The mean age of the study participants was 67.8±6.2 years. There were 63 males and 37 females. The mean handgrip strength of the participants was 23±5.9 kgs. Older subjects had slow gait speed (r=-0.40, p<0.001) while patients with higher BMI (r=0.36, p<0.001), handgrip strength (r=0.72, p<0.001) and appendicular lean mass (r=0.53, p<0.001) had normal gait speed. On multiple linear regression analysis, only handgrip strength (OR 0.71; 95% CI 0.58-0.87, p=0.001) and nutritional status (OR 8.60; 95% CI 1.98 - 37.40, p=0.004) were found to have a significant association with walking speed. Conclusions: Our study shows that handgrip strength assessment can be used as a surrogate indicator for detecting slow walking speed. Large population studies are warranted to examine its validity.

Indexed as

FrailtyGaitHandgrip strengthSarcopeniaWalking speed

Identifiers

PMID36531514
PMCPMC9729754

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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.