HAVAE EA6310 (Handicap, Aging, Autonomy, Environment), University of Limoges, 87042 Limoges, France.
XLIM Laboratory, UMR CNRS 7252, University of Limoges, 87000 Limoges, France.
Sensors (Basel). 2023 Jun 20;23(12):5742. doi: 10.3390/s23125742.
Health care professionals need a valid tool to assess the physical ability of patients with chronic diseases. We aimed to assess the validity of the results of physical fitness tests estimated by a wrist wearable device in young adults and chronic disease people.
Participants wore a sensor placed on their wrist and performed two physical fitness tests (sit to stand (STS) and time up and go (TUG)). We checked the concordance of sensor-estimated results using Bland-Altman analysis, root-mean-square error, and intraclass coefficient of correlation (ICC).
In total, 31 young adults (groups A; median age = 25 ± 5 years) and 14 people with chronic diseases (groups B; median age = 70 ± 15 years) were included. Concordance was high for both STS (ICC = 0.95, and ICC = 0.90), and TUG (ICC = 0.75, ICC = 0.98). The best estimations were given by the sensor during STS tests in young adults (mean bias = 0.19 ± 2.69; = 0.12) and chronic disease people (mean bias = -0.14 ± 3.09 s; = 0.24). The sensor provided the largest estimation errors over 2 s during the TUG test in young adults.
This study showed that the results provided by the sensor are consistent with those of the gold standard during STS and TUG in both healthy youth and people with chronic diseases.
医疗保健专业人员需要一种有效的工具来评估慢性病患者的身体能力。我们旨在评估腕戴设备估计的年轻人和慢性病患者的体能测试结果的有效性。
参与者佩戴放置在手腕上的传感器，并进行两项体能测试（坐站测试（STS）和起身行走测试（TUG））。我们使用 Bland-Altman 分析、均方根误差和组内相关系数（ICC）检查传感器估计结果的一致性。
共纳入 31 名年轻人（A 组；中位数年龄=25±5 岁）和 14 名慢性病患者（B 组；中位数年龄=70±15 岁）。STS（ICC=0.95，ICC=0.90）和 TUG（ICC=0.75，ICC=0.98）的一致性均较高。在 STS 测试中，传感器在年轻人（平均偏差=0.19±2.69；=0.12）和慢性病患者（平均偏差=-0.14±3.09 s；=0.24）中提供了最佳的估计值。在 TUG 测试中，传感器在年轻人中提供了最大的估计误差，超过 2 秒。
这项研究表明，在 STS 和 TUG 测试中，传感器提供的结果在健康年轻人和慢性病患者中与金标准一致。
