論文

国際誌
2022年1月20日

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

Journal of radiation research
  • Ryuji Okazaki
  • Kenichi Satoh
  • Arifumi Hasegawa
  • Naoki Matsuda
  • Takaaki Kato
  • Reiko Kanda
  • Yoshiya Shimada
  • Takuya Hayashi
  • Masaoki Kohzaki
  • Kosuke Mafune
  • Koji Mori
  • 全て表示

63
1
開始ページ
44
終了ページ
50
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1093/jrr/rrab101

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.

リンク情報
DOI
https://doi.org/10.1093/jrr/rrab101
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/34725708
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776688
ID情報
  • DOI : 10.1093/jrr/rrab101
  • PubMed ID : 34725708
  • PubMed Central 記事ID : PMC8776688

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