Evidence map›Paper›PMID 30444895›Full record

ArticlePloS one2018

Pulling strength, muscular fatigue, and prediction of maximum endurance time for simulated pulling tasks.

Cannan Yi, Kai Way Li, Fan Tang, Huali Zuo, Liang Ma, Hong Hu

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Fatigue and Recovery of Muscles for Pulling Tasks.International journal of environmental research and public health · 2022
    Article
  3. Strength Decrease, Perceived Physical Exertion and Endurance Time for Backpacking Tasks.International journal of environmental research and public health · 2019
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Cannan YiSchool of Safety & Environmental Engineering, Hunan Institute of Technology, Hengyang City, Hunan Province, China.
Kai Way LiSchool of Safety & Environmental Engineering, Hunan Institute of Technology, Hengyang City, Hunan Province, China.ORCID 0000-0003-0138-183X
Fan TangSchool of Safety & Environmental Engineering, Hunan Institute of Technology, Hengyang City, Hunan Province, China.
Huali ZuoSchool of Safety & Environmental Engineering, Hunan Institute of Technology, Hengyang City, Hunan Province, China.
Liang MaDepartment of Industrial Engineering, Tsinghua University, Beijing, China.ORCID 0000-0002-9422-814X
Hong HuSchool of Safety & Environmental Engineering, Hunan Institute of Technology, Hengyang City, Hunan Province, China.
Hunan Institute of Technology · CNChung Hua University · TWTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Truck pulling is one of the common manual materials handling tasks which contribute to musculoskeletal disorders. The maximum endurance time (MET) for two-handed truck pulling tasks has been rarely discussed in the literature. The objectives of this study were to explore the development of muscular fatigue when performing two-handed pulling task and to establish models to predict the MET. A simulated pallet truck pulling experiment was conducted. Sixteen healthy adults including eight females and eight males participated. The participants pulled a handle simulating that of a pallet truck using two hands until they could not pull any longer under two postures. The forces applied for females and males were 139.65 N and 170.03 N, respectively. The maximum voluntary contractions (MVC) of the pulling strength both before and after the simulated pull were measured. After each trial, both the MET and subjective ratings of muscular fatigue on body segments were recorded. The results showed that posture significantly affected MVC of pull both before and after the trial. It was found that foot/shank of the front leg had higher subjective ratings of muscular fatigue than the other body segments. The MET equations employing both power and logarithmic functions were developed to predict the MET of the two-handed pulling tasks. Predictive models established in this study may be used to assess the MET for two-handed pulling tasks.

Indexed as

Models, BiologicalAdultFemaleHumansMaleMuscle FatigueMuscle StrengthPhysical EndurancePosture

Identifiers

PMID30444895
PMCPMC6239301
OpenAlexW4239059892

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.