Evidence map›Paper›PMID 34725708›Full record

ArticleJournal of radiation research2022

Contribution of radiation education to anxiety reduction among Fukushima Daiichi Nuclear Power Plant workers: a cross sectional study using a text mining method.

Ryuji Okazaki, Kenichi Satoh, Arifumi Hasegawa, Naoki Matsuda, Takaaki Kato, Reiko Kanda, Yoshiya Shimada, Takuya Hayashi, Masaoki Kohzaki, Kosuke Mafune and 1 more

Abstract read
In one paragraph

Article in Journal of radiation research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
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.

Ryuji Okazaki
Kenichi Satoh
Arifumi Hasegawa
Naoki Matsuda
Takaaki Kato
Reiko Kanda
Yoshiya Shimada
Takuya Hayashi
Masaoki Kohzaki
Kosuke Mafune
Koji Mori

Funding

Industrial Disease Clinical Research Grants 160201
6 · The paper itself

Abstract

The purpose of this study is to investigate the frequency of education, knowledge of radiation and workplace anxiety of Fukushima Daiichi Nuclear Power Plant (FDNPP) workers and to analyze what type of words are used for anxiety with a text mining method. An original questionnaire survey was given to FDNPP workers, and a text mining method was used to extract information from free-entry fields. The questionnaires were collected from 1135 workers (response rate: 70.8%). It was found that when workers receive education on radiation, the increased knowledge helps to reduce their anxiety. Among the 1135 workers, 92 of 127 completed the free-entry field with valid entries. Seventy-one words were extracted by the text mining method. The words used differed depending on the degree of anxiety. The text mining method revealed information about the presence or absence of radiation anxiety and the subjects' working environment and background.

Indexed as

Fukushima Nuclear AccidentNuclear Power PlantsAnxietyCross-Sectional StudiesData MiningHumansFukushima Daiichi Nuclear Power Plant (FDNPP) workersquestionnaire surveyradiation anxietyradiation knowledgetext mining methods

Identifiers

PMID34725708
PMCPMC8776688

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.