アブストラクト
Japanese
| Title | 脳血管障害者のドライビングシミュレーターにおける運転パフォーマンスの主成分分析 - ケースコントロール研究 - |
|---|---|
| Subtitle | 原著論文 |
| Authors | 生田純一*1,*2, 外川佑*3, 那須識徳*1, 川間健之介*4 |
| Authors (kana) | |
| Organization | *1農協共済中伊豆リハビリテーションセンター, *2筑波大学大学院人間総合科学研究群リハビリテーション科学学位プログラム(博士後期課程), *3山形県立保健医療大学, *4筑波大学 |
| Journal | 作業療法 |
| Volume | 42 |
| Number | 2 |
| Page | 141-150 |
| Year/Month | 2023 / 4 |
| Article | 原著 |
| Publisher | 日本作業療法士協会 |
| Abstract | 「要旨:」脳血管障害者の自動車運転評価において, 簡易型ドライビングシミュレーター(以下, DS)における運転パフォーマンス特性が運転適性に関連する因子となりうるかどうかを検討することを目的に, 実車評価を実施した脳血管障害者149名を後方視的に調査した. DS評価項目について主成分分析を実施し, 5つの主成分に次元圧縮を行った. 運転適性との関連については, 従属変数を運転適性, 独立変数をDS評価の主成分得点, 共変量を年齢, SIAS上肢, FIM運動項目, MMSE, KDBT, SDMT, ROCF模写とした多重ロジスティック回帰分析を行った. 結果, 運転適性に関連して, 配分性注意と車線走行能力, 左右の注意配分といった3つのDS評価特性が示された. |
| Practice | 医療技術 |
| Keywords | 自動車運転, 脳血管障害, 評価, 検査, ドライビングシミュレーター, Driving, Stroke, Evaluation, Examination, Driving simulator |
English
| Title | Principal component analysis of driving simulator performance of fitness-to-drive in stroke patients : A case-controlled study |
|---|---|
| Subtitle | ORIGINAL ARTICLES |
| Authors | Junichi Ikuta*1,*2, Tasuku Sotokawa*3, Satonori Nasu*1, Kennosuke Kawama*4 |
| Authors (kana) | |
| Organization | *1Noukyoukyousai Nakaizu Rehabilitation Center, *2Doctoral Program in Rehabilitation Science, Graduate School of Comprehensive Human Sciences, University of Tsukuba, *3Yamagata Prefectural University of Health Sciences, *4University of Tsukuba |
| Journal | JAPANESE OCCUPATIONAL THERAPY RESEARCH |
| Volume | 42 |
| Number | 2 |
| Page | 141-150 |
| Year/Month | 2023 / 4 |
| Article | Original article |
| Publisher | JAPANESE ASSOCIATION OF OCCUPATIONAL THERAPISTS |
| Abstract | This study aimed to examine whether driving performance in simplified driving simulator assessments could be related to fitness-to-drive in evaluating driving by post-stroke patients. The study was conducted on 149 stroke patients whose fitness-to-drive had been evaluated by on-road assessment. Principal component analyses were performed for driving simulator assessment items and compressed into five principal components. For the relationship with fitness-to-drive, multiple logistic regression analysis was performed with fitness-to-drive as the dependent variable, PC scores of driving simulator assessment as the independent variable, and age, FIM-M, MMSE, KDBT, SDMT, ROCF, and SIAS-U/E as covariates. The results pointed to three driving simulator assessment characteristics related to fitness-to-drive: distributive attention, lane driving ability, and left-right attention distribution. |
| Practice | Medical technology |
| Keywords | Driving, Stroke, Evaluation, Examination, Driving simulator |
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