Evidence map›Paper›PMID 36498046›Full record

ArticleInternational journal of environmental research and public health2022

Determination of Waste Management Workers' Physical and Psychological Load: A Cross-Sectional Study Using Biometric Data.

Itsuki Kageyama, Nobuki Hashiguchi, Jianfei Cao, Makoto Niwa, Yeongjoo Lim, Masanori Tsutsumi, Jiakan Yu, Shintaro Sengoku, Soichiro Okamoto, Seiji Hashimoto and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.2field-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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. OdorTAM: Technology Acceptance Model for Biometric Authentication System Using Human Body Odor.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

11 authors at 2 institutions in 1 country.

Itsuki KageyamaGraduate School of Technology Management, Ritsumeikan University, 2-150 Iwakuracho, Osaka 567-8570, Japan.
Nobuki HashiguchiGraduate School of Technology Management, Ritsumeikan University, 2-150 Iwakuracho, Osaka 567-8570, Japan.ORCID 0000-0001-5650-7968
Jianfei CaoGraduate School of Technology Management, Ritsumeikan University, 2-150 Iwakuracho, Osaka 567-8570, Japan.
Makoto NiwaGraduate School of Technology Management, Ritsumeikan University, 2-150 Iwakuracho, Osaka 567-8570, Japan.ORCID 0000-0002-2355-1222
Yeongjoo LimGraduate School of Technology Management, Ritsumeikan University, 2-150 Iwakuracho, Osaka 567-8570, Japan.ORCID 0000-0003-2740-5537
Masanori TsutsumiMerge System Co., Fukuoka 810-0041, Japan.
Jiakan YuSchool of Environment and Society, Tokyo Institute of Technology, Tokyo 108-0023, Japan.
Shintaro SengokuSchool of Environment and Society, Tokyo Institute of Technology, Tokyo 108-0023, Japan.ORCID 0000-0001-8008-3667
Soichiro OkamotoCollege of Science and Engineering, Ritsumeikan University, 1-1-1 Noji-Higashi, Shiga 525-8577, Japan.
Seiji HashimotoCollege of Science and Engineering, Ritsumeikan University, 1-1-1 Noji-Higashi, Shiga 525-8577, Japan.
Kota KodamaGraduate School of Technology Management, Ritsumeikan University, 2-150 Iwakuracho, Osaka 567-8570, Japan.ORCID 0000-0002-2360-2034
Ritsumeikan University · JPTokyo Institute of Technology · JP

Funding

the Ministry of the Environment, Japan JPMEERF20193005, 2019
6 · The paper itself

Abstract

Waste management workers experience high stress and physical strain in their work environment, but very little empirical evidence supports effective health management practices for waste management workers. Hence, this study investigated the effects of worker characteristics and biometric indices on workers' physical and psychological loads during waste-handling operations. A biometric measurement system was installed in an industrial waste management facility in Japan to understand the actual working conditions of 29 workers in the facility. It comprised sensing wear for data collection and biometric sensors to measure heart rate (HR) and physical activity (PA) based on electrocardiogram signals. Multiple regression analysis was performed to evaluate significant relationships between the parameters. Although stress level is indicated by the ratio of low frequency (LF) to high frequency (HF) or high LF power in HR, the results showed that compared with workers who did not handle waste, those who did had lower PA and body surface temperature, higher stress, and lower HR variability parameters associated with higher psychological load. There were no significant differences in HR, heart rate interval (RRI), and workload. The psychological load of workers dealing directly with waste was high, regardless of their PA, whereas others had a low psychological load even with high PA. These findings suggest the need to promote sustainable work relationships and a quantitative understanding of harsh working conditions to improve work quality and reduce health hazards.

Indexed as

Occupational HealthWaste ManagementCross-Sectional StudiesExerciseHeart RateHumansWorkloadbiometric informationoccupational risksphysical workloadpsychological loadwaste management

Identifiers

PMID36498046
PMCPMC9739088
OpenAlexW4311046263

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.