Contribution of radiation education to anxiety reduction among Fukushima Daiichi Nuclear Power Plant workers: a cross sectional study using a text mining method. (1st November 2021)

• Record Type: Journal Article
• Authors: Okazaki, Ryuji; Satoh, Kenichi; Hasegawa, Arifumi; Matsuda, Naoki; Kato, Takaaki; Kanda, Reiko; Shimada, Yoshiya; Hayashi, Takuya; Kohzaki, Masaoki; Mafune, Kosuke; Mori, Koji
• Is Part Of: Journal of radiation research. Volume 63:Number 1(2022)
• Page Start: 44
• Page End: 50
• Publication Date: 2021-11-01
• Subjects: questionnaire survey -- radiation knowledge -- radiation anxiety -- Fukushima Daiichi Nuclear Power Plant (FDNPP) workers -- text mining methods; Radiology, Medical -- Periodicals; Radiobiology -- Periodicals; Radiation -- Periodicals; 616.0757
• DOI: 10.1093/jrr/rrab101
• Languages: English
• ISSNs: 0449-3060

Abstract

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.