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.

Details

Title
Contribution of radiation education to anxiety reduction among Fukushima Daiichi Nuclear Power Plant workers: a cross sectional study using a text mining method
Author
Okazaki, Ryuji; Satoh, Kenichi; Hasegawa, Arifumi; Matsuda, Naoki; Kato, Takaaki; Kanda, Reiko; Shimada, Yoshiya; Hayashi, Takuya; Kohzaki, Masaoki; Mafune, Kosuke; Mori, Koji
Pages
44-50
Publication year
2022
Publication date
Jan 2022
Publisher
Oxford University Press
ISSN
04493060
e-ISSN
13499157
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3170635918
Copyright
© The Author(s) 2021. Published by Oxford University Press on behalf of The Japanese Radiation Research Society and Japanese Society for Radiation Oncology. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.