Evidence map›Paper›PMID 41907653›Full record

ArticleSafety and health at work2026

Key Contributors to Fatigue in Disaster Responders: Analysis of the 2024 Noto Peninsula Earthquake.

Tatsuhiro Nagata, Yamato Sasaki, Odgerel Chimed-Ochir, Inn Kynn Khaing, Seiichiro Tateishi, Nahoko Enokida, Koji Mori, Yoshihisa Fujino, Hanako Murayama, Akihiro Taji and 4 more

Abstract read
In one paragraph

Article in Safety and health at work, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Tatsuhiro NagataDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Yamato SasakiDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Odgerel Chimed-OchirDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Inn Kynn KhaingDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Seiichiro TateishiDisaster Occupational Health Center, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Fukuoka, Japan.
Nahoko EnokidaHealth Center, University of Occupational and Environmental Health, Fukuoka, Japan.
Koji MoriOccupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Fukuoka, Japan.
Yoshihisa FujinoDepartment of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Fukuoka, Japan.
Hanako MurayamaDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Akihiro TajiDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Noriyuki ShiromaDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Ami FukunagaDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Yui YumiyaDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Tatsuhiko KuboDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The well-being of disaster responders is just as important as that of disaster victims as maintaining responders' health is essential for the effective disaster response. This study aimed to identify the key factors contributing to fatigue in disaster responders. Methods: This cross-sectional study analyzed data from disaster responders deployed during the 2024 Noto Peninsula Earthquake in Ishikawa prefecture, Japan. Data were collected using the health management version of the Japanese Surveillance in Post-Extreme Emergencies and Disasters app from January to March 2024. Associations between contributing factors including problems in the work environment, type of work activity, and occupation, and self-reported fatigue score were examined using the Results: We analyzed 15,067 data entries from disaster responders. Fatigue levels among disaster responders were generally low, with 73.7% of scores between 1 and 3 during the first phase and 82.3% during the second phase. Fatigue was significantly higher in the early response phase (β = 0.32, 95% confidence interval [CI]: 0.27-0.37) and among logisticians (β = 0.23, 95% CI: 0.18-0.28) and Health Emergency Operations Center staff (β = 0.20, 95% CI: 0.14-0.25) than among nonlogisticians and non-Health Emergency Operations Center staff members. Problems in the work environment had the largest effects: inability to take meals and breaks increased fatigue by 1.82 points (95% CI: 1.56-2.07), and unclear tasks or command structures by 0.82 points (95% CI: 0.57-1.06). Conclusion: This study underscores the importance of establishing a structured command system, strengthening responder training and improving working conditions to safeguard responder well-being.

Indexed as

DisasterFatigueJapanJ-SPEEDOccupational health

Identifiers

PMID41907653
PMCPMC13023078

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.