Department of Physiotherapy and Rehabilitation, Kırşehir Ahi Evran University, Kırşehir, Turkey.
Department of Physiotherapy and Rehabilitation, Kırşehir Ahi Evran University, Kırşehir, Turkey.
J Manipulative Physiol Ther. 2021 Jan;44(1):85-94. doi: 10.1016/j.jmpt.2020.07.006. Epub 2020 Nov 26.
The purpose of this study was to determine cutoff scores for the Biodex Balance System (BBS) and verify if they could be used to discriminate older people with nonspecific low back pain (NSLBP) with poor postural performance from those with good postural performance.
This cross-sectional study included 52 participants with NSLBP older than 65 years. One level of stability (level 5; intraclass correlation ≥0.70) and 2 conditions (eyes open and eyes closed) were selected for the testing procedure. Anterior-posterior stability index (APSI), medial-lateral stability index (MLSI), and overall stability index (OSI) scores were calculated. The participants were classified into 2 groups: high risk of falling and low risk of falling. Both the receiver operating characteristic and the area under the curve were used to determine the best BBS cutoff values. Binary logistic regression analysis was used to investigate the ability of BBS scores to predict risk of falling.
BBS cutoff scores in the eyes-open condition (APSI = 2.60, MLSI = 1.95, OSI = 2.95) and eyes-closed condition (APSI = 3.05, MLSI = 2.17, OSI = 3.25) were found to be sensitive and specific in determining postural performance. Participants with index values lower than the cutoff scores had, respectively, 6.42, 4.20, and 3.72 times lower risk of falling in the eyes-open condition and 3.33, 5.50, and 3.00 times lower risk of falling in the eyes-closed condition. The predictive characteristics of the models for risk analysis were excellent and good to excellent.
Our study shows that BBS cutoff scores are sensitive and specific in distinguishing between poor and good postural performance in older people with NSLBP.
本研究旨在确定 Biodex 平衡系统(BBS)的截断值,并验证其是否可用于区分姿势表现不佳的伴非特异性下腰痛(NSLBP)的老年人与姿势表现良好的老年人。
本横断面研究纳入了 52 名年龄大于 65 岁的伴 NSLBP 的老年人。选择了 1 个稳定性级别(级别 5;组内相关系数≥0.70)和 2 个条件(睁眼和闭眼)进行测试。计算前后向稳定性指数(APSI)、内外侧稳定性指数(MLSI)和整体稳定性指数(OSI)评分。将参与者分为 2 组:高跌倒风险组和低跌倒风险组。采用受试者工作特征曲线和曲线下面积来确定最佳 BBS 截断值。采用二项逻辑回归分析来探讨 BBS 评分预测跌倒风险的能力。
睁眼条件下(APSI=2.60、MLSI=1.95、OSI=2.95)和闭眼条件下(APSI=3.05、MLSI=2.17、OSI=3.25)的 BBS 截断值可敏感且特异地区分姿势表现。在睁眼条件下,指数值低于截断值的参与者跌倒风险分别降低了 6.42、4.20 和 3.72 倍;在闭眼条件下,指数值低于截断值的参与者跌倒风险分别降低了 3.33、5.50 和 3.00 倍。风险分析模型的预测特征为优秀至极好。
本研究表明,BBS 截断值可敏感且特异地区分伴 NSLBP 的老年人中姿势表现不佳与良好者。