Evidence map›Paper›PMID 34645740›Full record

ArticleIndustrial health2022

Factors associated with occupational accidents during part-time work among international students in Japan.

Tomohiro Ishimaru, Ayaka Teshima, Hiroyuki Kuraoka, Kunio Hara

Open access · diamondAbstract read
In one paragraph

Article in Industrial health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 2 countries.

Tomohiro IshimaruDepartment of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan.
Ayaka TeshimaSchool of Public Health, Faculty of Medicine, Imperial College London, United Kingdom.
Hiroyuki KuraokaDepartment of Occupational Safety and Health Management, School of Health Sciences, University of Occupational and Environmental Health, Japan.
Kunio HaraDepartment of Occupational Safety and Health Management, School of Health Sciences, University of Occupational and Environmental Health, Japan.
University of Occupational and Environmental Health Japan · JPImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the status of and risk factors for occupational accidents occurring during part-time work among international students in Japan. In total, 390 international students who had registered with an online survey company were invited to participate in a cross-sectional study using an online self-administered questionnaire in October 2020. Multiple regression analysis was performed to evaluate factors associated with accidents with absence from work. Among 311 participants, 126 (40.5%) had experienced an occupational accident at their part-time job in the past year, and 27 (8.7%) had lost working days because of accidents. The likelihood of accident with work absence was significantly higher among those with high income (adjusted odds ratio [OR] = 4.39, 95% confidence interval [CI]: 1.57-12.24) and language barrier (adjusted OR = 2.37, 95% CI: 1.03-5.47). International students experienced occupational accidents relatively frequently. These results provide insight to guide occupational safety measures for migrants.

Indexed as

Accidents, OccupationalOccupational HealthCross-Sectional StudiesHumansJapanRisk FactorsStudentsForeignerJapanMigrantOccupational accidentOccupational injury

Identifiers

PMID34645740
PMCPMC8980697
OpenAlexW3205435808

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.