Evidence map›Paper›PMID 35912078›Full record

ArticleFrontiers in aging neuroscience2022

Sarcopenia: Body Composition and Gait Analysis.

Yuxuan Fan, Bo Zhang, Guohao Huang, Guoying Zhang, Zhiyuan Ding, Zhiyu Li, Jonathan Sinclair, Yifang Fan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. The crossroads between osteosarcopenia and intrinsic capacity-a narrative review.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

8 authors at 2 institutions in 2 countries.

Yuxuan FanFoot Research Laboratory, School of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China.
Bo ZhangCollege of Sports and Health, Guangzhou Sport University, Guangzhou, China.
Guohao HuangFoot Research Laboratory, School of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China.
Guoying ZhangFoot Research Laboratory, School of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China.
Zhiyuan DingFoot Research Laboratory, School of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China.
Zhiyu LiCollege of Foreign Studies, Jinan University, Guangzhou, China.
Jonathan SinclairResearch Centre for Applied Sport, Physical Activity and Performance, School of Sport and Health Sciences, University of Central Lancashire, Preston, United Kingdom.
Yifang FanFoot Research Laboratory, School of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China.
Fujian Normal University · CNJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Age-induced sarcopenia negatively affects walking stability and increases the risk of falls, which is the leading cause of accidental death in the elderly. Objective: This study aimed to analyze and contrast body composition and gait characteristics in those with sarcopenia in relation to healthy controls to shed some light on the prevention of falls in elderly patients with sarcopenia. Materials and Methods: In this study, 68 community dwellers were scanned by the Hologic QDR-4500A Dual-energy X-ray absorptiometry (DXA). The appendicular lean mass index (ALMI) results were used to distinguish the normal participants from those with sarcopenia: 24 in the sarcopenia group, and 44 into the normal group. The participants were asked to undergo gait analysis on a plantar pressure measurement system. Statistical analysis was conducted to contrast both groups' gait and butterfly parameters from their gait test, and then a gait forward dynamics method was performed to quantify the analysis for both groups. Results: The ALMI of the female was not related to their age ( Conclusion: For the elderly, age did not largely affect the ALMI, BMI, or

Indexed as

body compositionbutterfly parametersgait forward dynamics methodgait parameterssarcopenia

Identifiers

PMID35912078
PMCPMC9326397
OpenAlexW4285085665

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.