Prediction of kyphosis angle from the number of 1.7-cm block and related basic factors
Main Article Content
Abstract
Background: The 1.7-cm block is a simple method to evaluate kyphosis. The outcomes are reported as the number of block which is different to the others with kyphosis angle. Therefore, the study of equation to predict the kyphosis angle from the number of block and related basic factors might be more convenient for assessment.
Objective: To determine a predictive equation of kyphosis angle from the number of 1.7-cm block and related basic factors.
Methods: The study was cross-sectional collected data in 62 participants with kyphosis who aged at least 10 years. The participants were recorded the data of age, gender, height, weight, and kyphosis assessment using the 1.7-cm block. Then, within 7 days apart, the participants were taken a radiography. The multiple linear regression was utilized to analyze a predictive equation of kyphosis angle.
Results: The basic factors related kyphosis angle included gender, the number of 1.7-cm block, height, and weight. The predictive equation was 114.81 – 9.66 (gender) + 4.32 (block) – 0.45 (height) – 0.26 (weight) which the ability of prediction was 64%.
Conclusion: This study reported predictive ability of the equation as a moderate level which might have other related factors to kyphosis angle, for example posture and activities in daily living. Therefore, further study should investigate such these factors for more effective implication.
Article Details
References
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