School of Psychology, University of Surrey, Guildford, UK.
Department of Rheumatology, Russells Hall Hospital, Dudley Group NHS Foundation Trust, West Midlands, Dudley, UK.
Rheumatol Int. 2023 Aug;43(8):1459-1465. doi: 10.1007/s00296-023-05342-1. Epub 2023 May 25.
This study aimed to determine the minimum number of days required to reliably estimate free-living sedentary time, light-intensity physical activity (LPA) and moderate-intensity physical activity (MPA) using accelerometer data in people with Rheumatoid Arthritis (RA), according to Disease Activity Score-28-C-reactive protein (DAS-28-CRP). Secondary analysis of two existing RA cohorts with controlled (cohort 1) and active (cohort 2) disease was undertaken. People with RA were classified as being in remission (DAS-28-CRP < 2.4, n = 9), or with low (DAS-28-CRP ≥ 2.4-≤ 3.2, n = 15), moderate (DAS-28-CRP > 3.2-≤ 5.1, n = 41) or high (DAS-28-CRP > 5.1, n = 16) disease activity. Participants wore an ActiGraph accelerometer on their right hip for 7 days during waking hours. Validated RA-specific cut-points were applied to accelerometer data to estimate free-living sedentary time, LPA and MPA (%/day). Single-day intraclass correlation coefficients (ICC) were calculated and used in the Spearman Brown prophecy formula to determine the number of monitoring days required to achieve measurement reliability (ICC ≥ 0.80) for each group. The remission group required ≥ 4 monitoring days to achieve an ICC ≥ 0.80 for sedentary time and LPA, with low, moderate and high disease activity groups requiring ≥ 3 monitoring days to reliably estimate these behaviours. The monitoring days required for MPA were more variable across disease activity groups (remission = ≥ 3 days; low = ≥ 2 days; moderate = ≥ 3 days; high = ≥ 5 days). We conclude at least 4 monitoring days will reliably estimate sedentary time and LPA in RA, across the whole spectrum of disease activity. However, to reliably estimate behaviours across the movement continuum (sedentary time, LPA, MPA), at least 5 monitoring days are required.
本研究旨在根据疾病活动评分 28- C 反应蛋白(DAS-28-CRP)确定使用加速度计数据可靠估计类风湿关节炎(RA)患者自由生活中久坐时间、低强度身体活动(LPA)和中强度身体活动(MPA)所需的最短天数。对两个现有的 RA 队列进行了二次分析,这些队列的疾病得到了控制(队列 1)和活跃(队列 2)。RA 患者被分为缓解期(DAS-28-CRP<2.4,n=9),或低疾病活动期(DAS-28-CRP≥2.4-≤3.2,n=15)、中疾病活动期(DAS-28-CRP>3.2-≤5.1,n=41)或高疾病活动期(DAS-28-CRP>5.1,n=16)。参与者在清醒时将 ActiGraph 加速度计佩戴在右臀部 7 天。将经过验证的 RA 专用切点应用于加速度计数据,以估计自由生活中的久坐时间、LPA 和 MPA(%/天)。计算了单日组内相关系数(ICC),并将其用于 Spearman Brown 预测公式,以确定每个组获得测量可靠性(ICC≥0.80)所需的监测天数。缓解组需要≥4 天的监测来实现 ICC≥0.80 用于久坐时间和 LPA,低、中、高疾病活动组需要≥3 天的监测来可靠估计这些行为。MPA 所需的监测天数在疾病活动组之间变化较大(缓解组=≥3 天;低疾病活动组=≥2 天;中疾病活动组=≥3 天;高疾病活动组=≥5 天)。我们得出结论,在整个疾病活动谱中,至少需要 4 天的监测来可靠估计 RA 患者的久坐时间和 LPA。然而,要可靠地估计整个运动连续体(久坐时间、LPA、MPA)中的行为,至少需要 5 天的监测。