Evidence map›Paper›PMID 30978951›Full record

ArticleInternational journal of environmental research and public health2019

Strength Decrease, Perceived Physical Exertion and Endurance Time for Backpacking Tasks.

Kai Way Li, Jenn Chun Chu, Ching Chung Chen

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Fatigue and Recovery of Muscles for Pulling Tasks.International journal of environmental research and public health · 2022
    Article
  2. Influence of School Backpack Load as a Variable Affecting Gait Kinematics among Seven-Year-Old Children.International journal of environmental research and public health · 2022
    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

3 authors.

Kai Way LiDepartment of Industrial Management, Chung Hua University, Hsinchu 30012, Taiwan. kai@chu.edu.tw.
Jenn Chun ChuPh.D. Program of Technology Management, Chung Hua University, Hsin-Chu 30012, Taiwan. d1043003@gmail.com.
Ching Chung ChenDepartment of Information Management, Hsing Wu University of Science & Technology, New Taipei 24452, Taiwan. 095165@mail.hwu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Manual material handling (MMH) tasks create a burden for workers which could result in musculoskeletal injuries. Assessments of the decrease of muscular strength and the maximum endurance time (MET) for MMH tasks are essential in studying the ergonomic risk of MMH tasks. A backpacking experiment was conducted for measuring the MET for MMH tasks. Human participants carried a load on their back and walked on a treadmill under various load, walking speed, and ramp angle conditions until they coud no longer do so. It was found that the participants were able to walk for approximately 15 min to two hours before they needed to have a pause. Their back and leg strengths declined moderately due to performing the tasks. These tasks resulted in an increase in heart rate and elevated perceived physical exertion. The rating of perceived exertion (RPE)/heart rate ratio in our backpacking tasks was 31% higher than that in the literature, implying the calibration of the RPE may be required for such tasks. A MET model incorporating the

Indexed as

AdultEndurance TrainingExercise TestFemaleHeart RateHumansMaleMuscle StrengthPhysical EndurancePhysical ExertionWalkingmanual material handlingmanual operationmaximum endurance timemuscular fatigue

Identifiers

PMID30978951
PMCPMC6479300

What Socratic 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 Socratic graph.