Evidence map›Paper›PMID 39095770›Full record

ArticleBMC geriatrics2024

The relationship between low and asymmetric handgrip strength and low muscle mass: results of a cross-sectional study on health and aging trends in western China.

Sha Huang, Xiaoyan Chen, Huaying Ding, Birong Dong

Registry-linked trialAbstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07414888 (Comparison of Dominant and Non-Dominant Side Muscle Strength Asymmetry in Sarcopenic and Non-Sarcopenic Older Adults), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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.

NCT07414888 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Comparison of Dominant and Non-Dominant Side Muscle Strength Asymmetry in Sarcopenic and Non-Sarcopenic Older Adults

TypeobservationalSponsorIstanbul Physical Medicine Rehabilitation Training and Research HospitalRan2026 to 2026Enrolled140ConditionsSarcopenia in Elderly
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Sha Huang *Department of Geriatric, Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan, China.
Xiaoyan Chen *Department of Geriatric, Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan, China.
Huaying Ding *Department of Geriatric, Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan, China.
Birong DongDepartment of Geriatric, Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan, China. birongdong123@outlook.com.

Funding

1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University ZY20172012021 Key Science and Technology Plan of Zigong City 2021YXY122022 Key Science and Technology Plan of Zigong City 2022ZCNKY03, 2022ZCNKY11, 2022ZCNKY14National Clinical Research Center for Geriatrics Z2018B09Sichuan Research Center of Applied Psychology, Chengdu Medical College CSXL-22232Zigong Psychiatric Research Center scientific research project 2022ZD02
6 · The paper itself

Abstract

objectiveThe aim was to determine the relationship between low handgrip strength (HGS) only, asymmetric HGS only, and low HGS combined with asymmetric HGS and low muscle mass in the West China Health and Aging Trends Study (WCHAT) data. STUDY

designIndividuals aged at least 50 years old were included in this cross-sectional study using WCHAT data. Demographic characteristics, such as age, marital status, education level, ethnicity, and drinking and smoking history, as well as chronic diseases, were recorded for all participants. The HGS of both hands was tested three times using a grip dynanometer with the participant in a standing position with arms extended, before recording the maximum value for both hands. The maximum value referred to values < 28 kg and < 18 kg for males and females, respectively. HGS ratios (non-dominant HGS/dominant HGS) of < 0.90 or > 1.10 suggest asymmetric HGS. The subjects were then allocated to the low HGS, asymmetrical HGS, and combined low and asymmetrical HGS (BOTH group) groups, and those with neither low nor asymmetric HGS (the normal group). The InBody 770 instrument was used for the analysis of muscle mass, with low muscle mass defined as a skeletal muscle mass index (SMI) of < 7.0 kg/m

resultsThe study included 1748 subjects, of whom 1272 (72.77%) were over the age of 60 years. The numbers of Han, Tibetan, and Qiang were 885 (50.63%), 217 (12.41%), and 579 (33.12%), respectively. A total of 465 individuals (26.60%) were classified as having low muscle mass, while 228 (13.04%), 536 (30.66%), and 125 (7.15%) participants were allocated to the low HGS, asymmetric HGS, and BOTH groups, respectively. The average SMI differed significantly between the normal group and the other groups (normal group vs. asymmetric HGS group vs. low HGS group vs. BOTH group: 6.627 kg/m

conclusionThe findings suggest that although asymmetrical HGS itself does not increase the chances of low muscle mass. When low HGS and a combination of both features (low HGS combined with asymmetric HGS) is present in subjects, the chance of low muscle mass increases.

Indexed as

AgingHand StrengthMuscle, SkeletalAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSarcopeniaAsymmetric handgrip strengthLow handgrip strengthLow muscle massOlder

Identifiers

PMID39095770
PMCPMC11295882

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