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ID 55665
JaLCDOI
フルテキストURL
Thumnail 72_1_67.pdf 2.45 MB
著者
Watanabe, Akihisa Department of Rehabilitation, Machida Orthopaedics
Ono, Qana Department of Rehabilitation, Machida Orthopaedics
Nishigami, Tomohiko Department of Physical Therapy, Konan Woman’s University
Hirooka, Takahiko Department of Orthopaedic Surgery, Onomichi Municipal Hospital
Machida, Hirohisa Department of Rehabilitation, Machida Orthopaedics
抄録
It has been unclear whether the risk factors for rotator cuff tears are the same at all ages or differ between young and older populations. In this study, we examined the risk factors for rotator cuff tears using classification and regression tree analysis as methods of nonlinear regression analysis. There were 65 patients in the rotator cuff tears group and 45 patients in the intact rotator cuff group. Classification and regression tree analysis was performed to predict rotator cuff tears. The target factor was rotator cuff tears; explanatory variables were age, sex, trauma, and critical shoulder angle≥35°. In the results of classification and regression tree analysis, the tree was divided at age 64. For patients aged≥64, the tree was divided at trauma. For patients aged<64, the tree was divided at critical shoulder angle≥35°. The odds ratio for critical shoulder angle≥35° was significant for all ages (5.89), and for patients aged<64 (10.3) while trauma was only a significant factor for patients aged≥64 (5.13). Age, trauma, and critical shoulder angle≥35° were related to rotator cuff tears in this study. However, these risk factors showed different trends according to age group, not a linear relationship.
キーワード
rotator cuff tears
risk factor
critical shoulder angle
trauma
classification and regression tree analysis
Amo Type
Original Article
発行日
2018-02
出版物タイトル
Acta Medica Okayama
72巻
1号
出版者
Okayama University Medical School
開始ページ
67
終了ページ
72
ISSN
0386-300X
NCID
AA00508441
資料タイプ
学術雑誌論文
言語
English
著作権者
CopyrightⒸ 2018 by Okayama University Medical School
論文のバージョン
publisher
査読
有り
PubMed ID