フルテキストファイル
タイトルヨミ
ニホン ニ オケル コウレイシャ ノ イジョウシ ニ カンスル カコ20ネンカン ノ ケンキュウドウコウ : KH Coder ニ ヨル Text Min
タイトル別表記
Literature review of research trends on unnatural deaths in older adult in Japan from 2000 to 2020: A text mining analysis
著者
井上 瑞稀 鳥取大学医学部保健学科看護学専攻
小椋 菜央 鳥取大学医学部保健学科看護学専攻
富田 紗季 鳥取大学医学部保健学科看護学専攻
星島 佐千子 鳥取大学医学部保健学科看護学専攻
三好 陽子 鳥取大学医学部保健学科成人・老人看護学講座 研究者総覧 KAKEN
キーワード
unnatural death
older adult
text mining, KH Coder
抄録
The purpose of this study was to determine the current state of research on unnatural deaths in older adults in Japan. We searched original articles published in Japan from 2000 to 2020 by using the key terms“ older adult” and“ unnatural death” and identified 32 articles. We analyzed the articles by quantitative text mining with KH Coder (ver.3.0) software. The most frequently extracted words were“ death,”“ many,”“ discovery,”“ suicide,”“ cause of death,” and“ autopsy.” In the co-occurrence network analysis of words,“ death,”“ many,”“ suicide,” and“ man” had high mediation centrality. We used subgraph detection to classify the top 50 words into 5 groups: “Time delay before discovery of single older adult men after death,”“ Trend for unnatural deaths of missing older adults,”“ Relationship between mental illness and solitary death,”“ Investigation of cause of death by forensic autopsy,” and “Measures for preventing solitary death of older adults isolated from society.” Currently, studies are limited regarding possible measures to prevent solitary deaths among older adults isolated from society. In Japan, there is an urgent need to support older adults at risk of social isolation, such as single men and people with mental illnesses, to help maintain or improve their social integration.
出版者
米子医学会
資料タイプ
紀要論文
外部リンク
ISSN
00440558
書誌ID
AN00247383
掲載誌名
米子医学雑誌
最新掲載誌名
米子医学雑誌
72
1-4
開始ページ
6
終了ページ
15
発行日
2021-8-31
著者版フラグ
出版社版
著作権表記
注があるものを除き、この著作物は日本国著作権法により保護されています。 / This work is protected under Japanese Copyright Law unless otherwise noted.
掲載情報
米子医学雑誌. 2021, 72(1-4), 6-15.
部局名
医学部・医学系研究科・医学部附属病院
言語
日本語