Are parent-reported sleep logs essential? A comparison of three approaches to guide open source accelerometry-based nocturnal sleep processing in children.

Are parent-reported sleep logs essential? A comparison of three approaches to guide open source accelerometry-based nocturnal sleep processing in children.
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家长报告的睡眠日志是否重要?

DOI:
10.1111/jsr.14112
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发表时间:
2023
影响因子:
4.4
通讯作者:
Adams,ElizabethL
Adams,ElizabethL
中科院分区:
医学3区
文献类型:
--
作者:
Burkart,Sarah;Beets,MichaelW;Pfledderer,ChristopherD;vonKlinggraeff,Lauren;Zhu,Xuanxuan;StLaurent,ChristineW;vanHees,VincentT;Armstrong,Bridget;Weaver,RGlenn;Adams,ElizabethL

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我们使用加速度计数据检查了儿童夜间睡眠估计的可比性,在有和没有睡眠日志的情况下进行处理。在二次分析中,我们评估了与不同处理方法相关的因素。儿童(n= 722, 5-12岁)在2020年秋季、2021年春季和/或2021年夏季佩戴基于手腕的加速度计14天。结果包括睡眠时间、持续时间、睡眠开始后醒来(WASO)和时间(开始、中点、醒来时间)。家长们完成了包括孩子每晚睡觉/起床时间在内的调查。数据通过父母报告的睡觉/醒来时间(睡眠日志)、观察Z角变化分布的启发式算法(HDCZA)算法(无日志)和晚上8点至早上8点的时间进行处理。窗口(通用日志)使用R‐包‘ GGIR ’(版本2.6‐4)。用Bland-Altman图计算和显示平均/绝对偏差和一致性限。用tobit回归检验儿童、家庭和调查特征与分歧之间的关系。超过一半的夜晚在睡眠记录和不记录方法之间的睡眠时间没有差异。在所有夜晚中,睡眠日志法比无日志法产生更长的睡眠时间(9.3分钟,绝对平均偏差[AMB] = 28.0分钟),更短的持续时间(1.4分钟,AMB = 14.0分钟),更大的WASO(11.0分钟,AMB = 15.4分钟),更早的起病时间(13.4分钟,AMB = 17.4分钟),中点时间(8.8分钟,AMB = 15.3分钟)和清醒时间(3.9分钟,AMB = 14.8分钟)。与差异相关的因素包括智能手机的所有权、卧室屏幕、非传统的父母工作时间表以及周末/夏季晚上的完成时间(范围= 0.4-10.2分钟)。在睡眠结果中,通用日志导致更大的AMB。在有睡眠记录和没有睡眠记录的夜晚之间观察到微小的平均差异。差异存在于周末、夏季以及卧室里有智能手机和屏幕的孩子身上。
We examined the comparability of children's nocturnal sleep estimates using accelerometry data, processed with and without a sleep log. In a secondary analysis, we evaluated factors associated with disagreement between processing approaches. Children (n= 722, age 5–12 years) wore a wrist‐based accelerometer for 14 days during Autumn 2020, Spring 2021, and/or Summer 2021. Outcomes included sleep period, duration, wake after sleep onset (WASO), and timing (onset, midpoint, waketime). Parents completed surveys including children's nightly bed/wake time. Data were processed with parent‐reported bed/wake time (sleep log), the Heuristic algorithm looking at Distribution of Change in Z‐Angle (HDCZA) algorithm (no log), and an 8 p.m.–8 a.m. window (generic log) using the R‐package ‘GGIR’ (version 2.6‐4). Mean/absolute bias and limits of agreement were calculated and visualised with Bland–Altman plots. Associations between child, home, and survey characteristics and disagreement were examined with tobit regression. Just over half of nights demonstrated no difference in sleep period between sleep log and no log approaches. Among all nights, the sleep log approach produced longer sleep periods (9.3 min; absolute mean bias [AMB] = 28.0 min), shorter duration (1.4 min; AMB = 14.0 min), greater WASO (11.0 min; AMB = 15.4 min), and earlier onset (13.4 min; AMB = 17.4 min), midpoint (8.8 min; AMB = 15.3 min), and waketime (3.9 min; AMB = 14.8 min) than no log. Factors associated with discrepancies included smartphone ownership, bedroom screens, nontraditional parent work schedule, and completion on weekend/summer nights (range = 0.4–10.2 min). The generic log resulted in greater AMB among sleep outcomes. Small mean differences were observed between nights with and without a sleep log. Discrepancies existed on weekends, in summer, and for children with smartphones and screens in the bedroom.