{"created":"2025-04-10T00:49:06.907085+00:00","id":2001796,"links":{},"metadata":{"_buckets":{"deposit":"fe6740fa-9dc3-428b-a698-21803ae904cf"},"_deposit":{"created_by":10,"id":"2001796","owner":"85","owners":[10],"pid":{"revision_id":0,"type":"depid","value":"2001796"},"status":"published"},"_oai":{"id":"oai:repository.lib.tottori-u.ac.jp:02001796","sets":["1:9","2:14","23:40:1739939947084:1744344622068"]},"author_link":[],"item_3_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2025-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicNumberOfPages":"12","bibliographicPageEnd":"32","bibliographicPageStart":"21","bibliographicVolumeNumber":"76","bibliographic_titles":[{"bibliographic_title":"米子医学雑誌","bibliographic_titleLang":"ja"},{"bibliographic_title":"The Journal of the Yonago Medical Association","bibliographic_titleLang":"en"}]}]},"item_3_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This study aims to investigate whether the Kokuho database （KDB） can be used to predict older people with frailty living in the community. This is a cross-sectional study using KDB data combined with the results of the Kihon Checklist （KCL） administered by Yonago city. A total of 8,665 older people aged ≥65 answered the KCL. After checking the eligibility, 1,098 were included in the analysis. Several variables which were significantly different between the frail group （KCL≥8 points） and the non-frail group were detected. Multiple logistic regression analysis was used to fit the optimal model. Prediction scales were created based on the independent variables in the model. ROC curves were used to examine the validity of the scales. The optimal regression model including 7 items （physical activity, walking speed, eating speed, adequate sleep, BMI, high blood pressure, and high blood glucose） was identified. The area under the curve of the predictive scale （7-point scale with 7 items） was 0.720 （95% CI: 0.668 - 0.773）, with sensitivity: 68.0%, specificity: 67.6% for the optimal cut-off value of 3 points. The predictive validity of the scales was limited. Adding test items can contribute to improving the validity of the scales.","subitem_description_language":"en","subitem_description_type":"Other"}]},"item_3_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"米子医学会","subitem_publisher_language":"ja"}]},"item_3_relation_16":{"attribute_name":"情報源","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_language":"ja","subitem_relation_name_text":"桑原 祐樹, 吉田 慧, 山田 まどか, 金 弘子, 金城 文, 尾崎 米厚. 国保データベース（KDB）を活用した フレイル予測尺度の開発と予測妥当性の検証. 米子医学雑誌, 2025, 76(1), 21-32."}]}]},"item_3_rights_15":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"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。","subitem_rights_language":"ja"},{"subitem_rights":"This work is protected under Japanese Copyright Law unless otherwise noted.","subitem_rights_language":"en"}]},"item_3_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00247383","subitem_source_identifier_type":"NCID"}]},"item_3_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"00440558","subitem_source_identifier_type":"PISSN"}]},"item_3_version_type_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open 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Validation","subitem_title_language":"en"},{"subitem_title":"コクホ　データベース　（　ＫＤＢ　）　オ　カツヨウ　シタ　フレイル　ヨソク　シャクド　ノ　カイハツ　ト　ヨソク　ダトウセイ　ノ　ケンショウ","subitem_title_language":"ja-Kana"}]},"item_type_id":"3","owner":"10","path":["14","9","1744344622068"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2025-02-20"},"publish_date":"2025-02-20","publish_status":"0","recid":"2001796","relation_version_is_last":true,"title":["国保データベース（KDB）を活用した フレイル予測尺度の開発と予測妥当性の検証"],"weko_creator_id":"10","weko_shared_id":-1},"updated":"2025-04-17T09:09:35.446972+00:00"}