Evidence map›Paper›PMID 32640611›Full record

ArticleSensors (Basel, Switzerland)2020

Practical Judgment of Workload Based on Physical Activity, Work Conditions, and Worker's Age in Construction Site.

Nobuki Hashiguchi, Kota Kodama, Yeongjoo Lim, Chang Che, Shinichi Kuroishi, Yasuhiro Miyazaki, Taizo Kobayashi, Shigeo Kitahara, Kazuyoshi Tateyama

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
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  7. Article
  8. Age-Dependent Influence of Intrinsic and Extrinsic Motivations on Construction Worker Performance.International journal of environmental research and public health · 2020
    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

9 authors at 1 institution in 1 country.

Nobuki HashiguchiGraduate School of Technology Management, Ritsumeikan University, Osaka 567-8570, Japan.ORCID 0000-0001-5650-7968
Kota KodamaGraduate School of Technology Management, Ritsumeikan University, Osaka 567-8570, Japan.
Yeongjoo LimFaculty of Business Administration, Ritsumeikan University, Osaka 567-8570, Japan.ORCID 0000-0003-2740-5537
Chang CheKumagai Gumi Co., Ltd., Tokyo 162-0856, Japan.
Shinichi KuroishiKumagai Gumi Co., Ltd., Tokyo 162-0856, Japan.
Yasuhiro MiyazakiKumagai Gumi Co., Ltd., Tokyo 162-0856, Japan.
Taizo KobayashiDepartment of Environmental Systems, College of Science and Engineering, Ritsumeikan University, Shiga 525-8577, Japan.
Shigeo KitaharaKumagai Gumi Co., Ltd., Tokyo 162-0856, Japan.
Kazuyoshi TateyamaDepartment of Civil Engineering, College of Science and Engineering, Ritsumeikan University, Shiga 525-8577, Japan.
Ritsumeikan University · JP

Funding

Ministry of Land, Infrastructure, Transport and Tourism in Japan FY2017-FY2018 research and development for construction technology subsidy program policy issue solving type
6 · The paper itself

Abstract

It is important for construction companies to sustain a productive workforce without sacrificing its health and safety. This study aims to develop a practical judgement method to estimate the workload risk of individual construction workers. Based on studies, we developed a workload model comprising a hygrothermal environment, behavioral information, and the physical characteristics of workers). The construction workers' heart rate and physical activity were measured using the data collected from a wearable device equipped with a biosensor and an acceleration sensor. This study is the first report to use worker physical activity, age, and the wet bulb globe temperature (WBGT) to determine a worker's physical workload. The accuracy of this health risk judgment result was 89.2%, indicating that it is possible to easily judge the health risk of workers even in an environment where it is difficult to measure the subject in advance. The proposed model and its findings can aid in monitoring the health impacts of working conditions during construction activities, and thereby contribute toward determining workers' health damage. However, the sampled construction workers are 12 workers, further studies in other working conditions are required to accumulate more evidence and assure the accuracy of the models.

Indexed as

Construction IndustryJudgmentOccupational HealthWearable Electronic DevicesWorkloadAdultExerciseHumansconstruction hazardsheart rate reservewet bulb globe temperatureworker safetyworkload estimation

Identifiers

PMID32640611
PMCPMC7374462
OpenAlexW3038858414

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.