Evidence map›Paper›PMID 36741997›Full record

ArticleFrontiers in nutrition2022

Hand grip strength should be normalized by weight not height for eliminating the influence of individual differences: Findings from a cross-sectional study of 1,511 healthy undergraduates.

Taojin Xu, Xu Li, Dingfang Wang, Yi Zhang, Qinghua Zhang, Jianyin Yan, Junhao Jiang, Wenbin Liu, Jing Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 13 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Taojin XuSchool of Advanced Manufacturing Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Xu LiCollege of Physical Education, Chongqing University of Posts and Telecommunications, Chongqing, China.
Dingfang WangSchool of Advanced Manufacturing Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Yi ZhangSchool of Advanced Manufacturing Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Qinghua ZhangKey Laboratory of Big Data Intelligent Computing, Chongqing University of Posts and Telecommunications, Chongqing, China.
Jianyin YanSchool of Advanced Manufacturing Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Junhao JiangSchool of Advanced Manufacturing Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Wenbin LiuSchool of Advanced Manufacturing Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
Jing ChenThe Fifth People's Hospital of Chongqing, Chongqing, China.
Chongqing University of Posts and Telecommunications · CNFirst People's Hospital of Chongqing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hand grip strength (HGS) is a fast, useful, and inexpensive outcome predictor of nutritional status and muscular function assessment. Numerous demographic and anthropometric factors were reported to be associated with HGS, while which one or several factors produce greater variations in HGS has not been discussed in detail. This is important for answering how should HGS be normalized for eliminating the influence of individual differences in clinical practice. Aims: To compare the contribution of age, sex, height, weight, and forearm circumference (FCF) to variations in HGS based on a large-scale sample. Methods: We enrolled 1,511 healthy undergraduate students aged 18-23 years. Age, weight, height, and sex were obtained. HGS was measured using a digital hand dynamometer, and FCF was measured at the point of greatest circumference using a soft ruler in both hands. Pearson's or Spearman's correlation coefficients were calculated with data of women and men separated and mixed for comparison. Partial correlation analysis and multivariate linear regression were used to compare the effect of variables on HGS. Results: Analysis results confirmed the correlates of higher HGS include higher height, heavier weight, being men and dominant hand, and larger FCF. The correlation between HGS and FCF was the highest, and the bivariate correlation coefficient between weight and HGS was largerata of women and men were mixed, than that between height and HGS. When data of women and men were mixed, there were moderate correlations between HGS and height and weight ( Conclusion: HGS and FCF reference values of healthy college students were provided. Weight was more correlate with hand grip strength, at least among the healthy undergraduates. Clinical trial registration: http://www.chictr.org.cn/showproj.aspx?proj=165914, identifier ChiCTR2200058586.

Indexed as

adolescentcorrelationforearm circumferencehand grip strengthmuscular function

Identifiers

PMID36741997
PMCPMC9890066
OpenAlexW4317107392

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.