Kristbergsdottir Hlín, Schmitz Lisa, Arnardottir Erna Sif, Islind Anna Sigridur
Department of Psychology, Reykjavik University, 102 Reykjavík, Iceland.
Reykjavik University Sleep Institute, 102 Reykjavík, Iceland.
Diagnostics (Basel). 2023 Sep 8;13(18):2883. doi: 10.3390/diagnostics13182883.
Sleep diaries are the gold standard for subjective assessment of sleep variables in clinical practice. Digitization of sleep diaries is needed, as paper versions are prone to human error, memory bias, and difficulties monitoring compliance.
45 healthy eligible participants (M = 50.3 years, range 23-74, 56% female) were asked to use a sleep diary mobile app for 90 consecutive days. Univariate and bivariate analysis was used for group comparison and linear regression for analyzing reporting trends and compliance over time.
Overall compliance was high in the first two study months but tended to decrease over time ( < 0.001). Morning and evening diary entries were highly correlated (r = 0.932, < 0.001) and participants significantly answered on average 4.1 days (95% CI [1.7, 6.6]) more often in the morning (M = 60.2, sd = 22.1) than evening ((M = 56.1, sd = 22.2), < 0.001).
Using a daily diary assessment in a longitudinal sleep study with a sleep diary delivered through a mobile application was feasible, and compliance in this study was satisfactory.
睡眠日记是临床实践中对睡眠变量进行主观评估的金标准。由于纸质版睡眠日记容易出现人为错误、记忆偏差以及难以监测依从性，因此需要将其数字化。
45名符合条件的健康参与者（年龄中位数为50.3岁，范围23 - 74岁，56%为女性）被要求连续90天使用一款睡眠日记移动应用程序。采用单变量和双变量分析进行组间比较，并使用线性回归分析报告趋势和随时间的依从性。
在前两个月的研究中总体依从性较高，但随时间推移有下降趋势（<0.001）。早晚的日记记录高度相关（r = 0.932，<0.001），参与者早上平均比晚上多回答4.1天（95%置信区间[1.7, 6.6]）（早上M = 60.2，标准差 = 22.1；晚上M = 56.1，标准差 = 22.2），差异有统计学意义（<0.001）。
在一项纵向睡眠研究中，通过移动应用程序提供睡眠日记进行每日日记评估是可行的，本研究中的依从性令人满意。
