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调查老年养老院居民矢状脊柱曲度与跌倒发生率和跌倒风险之间的关系。

Investigating the relationship between sagittal spinal curvature and fall incidence and fall risk among elderly nursing home residents.

机构信息

Department of Physical Education and Sports Sciences, Raja University, Qazvin, Iran.

Department of Physical Education and Sport Sciences, Amir Kabir University of Technology, Tehran, Iran.

出版信息

Osteoporos Int. 2024 Nov;35(11):1999-2006. doi: 10.1007/s00198-024-07232-z. Epub 2024 Aug 22.

Abstract

UNLABELLED

Designing appropriate diagnostic and treatment methods to reduce fall risk and improve quality of life, as well as reduce the cost of care in elderlies. Our findings have potential for early diagnosis of those with a high probability of falling based on fairly simple clinical measures of hyperkyphosis, forward head, and lordosis.

INTRODUCTION

Poor balance is an underlying cause of falling in the elderly, for which a change in the natural curvature of the spine plays a major role. Little is known about the relationship between spinal curvatures and fall incidence in this population. We primarily aimed to investigate the relationship between sagittal plane spinal curvatures and fall incidence over 1 year among nursing facility residents. Secondarily, we aim to determine associations of sagittal plane spinal curvatures with participants' perception of fall risk and balance capability.

METHODS

Participants (100 residents mean age 70.17 ± 6.01 years) underwent standing measures of sagittal plane spinal curvatures (flexible ruler technique) and forward displacement of the head relative to the cervical spine. The Tinetti Performance Oriented Mobility Assessment (POMA) and Fall Efficacy Scale assessed participants' perception of balance and fear of falling. Incident falls were self-reported monthly and tracked across 1 year. Spearman's correlations and logistic regression evaluated associations between fall incidence and spinal curvature. Predictive performance of spinal curvature and fall risk was determined by the corresponding ROC for defining a cut-off for variables of spinal curvature and fall risk indicators.

RESULTS

Predictive performance of spinal curvature and fall risk factors indicated 84% and 77% of participants were correctly classified using models of kyphosis and head angle, respectively.

CONCLUSIONS

Our study adds new data on spinal curvatures and incident falls among nursing facility residents. Efforts are needed to intervene to counter progression of spinal curvatures and improve fall prevention practices.

摘要

目的

设计合适的诊断和治疗方法,以降低老年人跌倒的风险,提高生活质量,并降低护理成本。我们的研究结果为基于脊柱后凸、头前伸和脊柱前凸等相对简单的临床测量方法,对高跌倒风险人群进行早期诊断提供了可能。

背景

老年人跌倒的根本原因是平衡能力差,而脊柱的自然曲度变化在其中起着重要作用。对于该人群脊柱曲度与跌倒发生率之间的关系,人们知之甚少。我们主要旨在探讨护理机构居民 1 年内矢状面脊柱曲度与跌倒发生率之间的关系。其次,我们旨在确定矢状面脊柱曲度与参与者对跌倒风险和平衡能力的感知之间的关联。

方法

参与者(100 名居民,平均年龄 70.17±6.01 岁)接受了站立位矢状面脊柱曲度(灵活标尺技术)和头部相对于颈椎前移位的测量。Tinetti 表现导向移动评估(POMA)和跌倒效能量表评估了参与者对平衡和跌倒恐惧的感知。每月自行报告跌倒事件,并在 1 年内进行跟踪。Spearman 相关分析和逻辑回归评估了跌倒发生率与脊柱曲度之间的关系。通过为脊柱曲率和跌倒风险指标定义截断值的相应 ROC,确定了脊柱曲率和跌倒风险的预测性能。

结果

脊柱曲率和跌倒风险因素的预测性能表明,使用后凸和头角模型分别有 84%和 77%的参与者被正确分类。

结论

我们的研究为护理机构居民的脊柱曲度和跌倒事件增加了新数据。需要努力干预以阻止脊柱曲度的进展并改善跌倒预防实践。

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