Determination of predictors associated with pain in non‑surgically treated adults with idiopathic scoliosis

确定与非手术治疗的特发性脊柱侧弯成年患者疼痛相关的预测因素

阅读:1

Abstract

BACKGROUND: It is recognized that pain related to adult individuals with idiopathic scoliosis (IS) substantially impacts individuals' daily activities and quality of life. The objective of this study was to identify the possible predictors of pain intensity in non‑surgically treated adults with IS. METHODS: This cross-sectional study included 58 adults individuals with Lenke type 1 IS. Participants' sociodemographic characteristics were recorded, and pain severity, curvature severity, trunk rotation angle, disability, spinal mobility, cosmetic deformity perception, and quality of life were assessed. Regression analyses with various models were performed to determine the predictors of pain severity and the best model was selected based on performance criteria. RESULTS: Strong associations were found between pain severity with curvature severity, spinal mobility, trunk rotation angle, perception of cosmetic deformity, disability, and quality of life (p < 0.05). It was observed that Lasso regression was the best model based on the performance criteria considered. According to this model, the primary predictors of pain intensity in adult IS were determined as curvature severity, spinal mobility, trunk rotation angle, cosmetic deformity perception, back-related disability and quality of life, in order of importance. CONCLUSION: In accordance with the findings of this study, which examined for the first time the determinants of pain intensity in adult individuals with Lenke type 1 IS, we suggest that mentioned possible factors affecting and determining pain should be taken into consideration when establishing evaluation and treatment programs.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。