Prediction Model for the Risk of Scapular Winging in Young Women Based on the Decision Tree
Background: Scapular winging (SW) could be caused by tightness or weakness of the periscapular muscles. Although data mining techniques are useful in classifying or predicting risk of musculoskeletal disorder, predictive models for risk of musculoskeletal disorder using the results of clinical te...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korean Research Society of Physical Therapy
2020-05-01
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| Series: | Physical Therapy Korea |
| Subjects: |
| Summary: | Background: Scapular winging (SW) could be caused by tightness or weakness of the
periscapular muscles. Although data mining techniques are useful in classifying or predicting
risk of musculoskeletal disorder, predictive models for risk of musculoskeletal disorder using
the results of clinical test or quantitative data are scarce.
Objects: This study aimed to (1) investigate the difference between young women with and
without SW, (2) establish a predictive model for presence of SW, and (3) determine the cutoff
value of each variable for predicting the risk of SW using the decision tree method.
Methods: Fifty young female subjects participated in this study. To classify the presence of
SW as the outcome variable, scapular protractor strength, elbow flexor strength, shoulder
internal rotation, and whether the scapula is in the dominant or nondominant side were
determined.
Results: The classification tree selected scapular protractor strength, shoulder internal rotation
range of motion, and whether the scapula is in the dominant or nondominant side as
predictor variables. The classification tree model correctly classified 78.79% (p = 0.02) of the
training data set. The accuracy obtained by the classification tree on the test data set was
82.35% (p = 0.04).
Conclusion: The classification tree showed acceptable accuracy (82.35%) and high specificity
(95.65%) but low sensitivity (54.55%). Based on the predictive model in this study, we
suggested that 20% of body weight in scapular protractor strength is a meaningful cutoff
value for presence of SW. |
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| ISSN: | 1225-8962 2287-982X |