Miller Christopher B, Gordon Christopher J, Toubia Leanne, Bartlett Delwyn J, Grunstein Ronald R, D'Rozario Angela L, Marshall Nathaniel S
NeuroSleep and Woolcock Institute of Medical Research, University of Sydney, Sydney, NSW, Australia; Sydney Nursing School, University of Sydney, Sydney, NSW, Australia.
NeuroSleep and Woolcock Institute of Medical Research, University of Sydney, Sydney, NSW, Australia.
Sleep Health. 2015 Jun;1(2):133-137. doi: 10.1016/j.sleh.2015.02.007. Epub 2015 Apr 1.
Self-reported habitual sleep duration has been used widely in epidemiologic research, yet this measure remains to be validated. We evaluated whether simple sleep duration questions concord with sleep diaries in an online sample.
Australian adults aged 18+ years completed an internet survey examining measures of sleep, sociodemographic risk factors, and a 7-day sleep diary. We examined single-question (how many hours of sleep would you normally get?) and 2-question assessments (difference between sleep and wake times) to a 7-day sleep diary estimation of sleep duration. Using Bland-Altman plots and associated statistics, we tested systematic differences, precision, and systematic bias. We also evaluated whether the differences were consistent along the entire range of the measurement and whether they were associated with any sociodemographic risk factors (Spearman rho).
Data were analyzed from 1662 participants (67.3% female). Bland-Altman plots displayed visual discrepancies between both 1-question and 2-question reports of sleep duration compared with sleep diaries. Both the single- (-17 minutes) and double-question (8 minutes) sleep duration estimates differed significantly (both P < .001). These simple estimates only agreed to within ±2.5-3 hours compared with diary estimates. The measure was also weakly systematically biased (rho = +0.204 and +0.309, P < .001) through the measurement range. There were significant differences and associations between differences in sleep duration estimation and determinants of health.
Simple questions estimating habitual sleep duration are imprecise and systematically biased in a large online survey. The amount of difference is correlated with well-known sociodemographic risk factors.
自我报告的习惯性睡眠时间在流行病学研究中被广泛使用,但这一测量方法仍有待验证。我们评估了在一个在线样本中,简单的睡眠时间问题与睡眠日记是否一致。
18岁及以上的澳大利亚成年人完成了一项互联网调查,该调查涉及睡眠测量、社会人口统计学风险因素以及一份7天的睡眠日记。我们将关于睡眠时间的单问题(你通常睡多少小时?)和双问题评估(睡眠时间与起床时间的差值)与7天睡眠日记对睡眠时间的估计进行了比较。使用布兰德-奥特曼图及相关统计数据,我们测试了系统差异、精密度和系统偏差。我们还评估了这些差异在整个测量范围内是否一致,以及它们是否与任何社会人口统计学风险因素相关(斯皮尔曼等级相关系数)。
对1662名参与者(67.3%为女性)的数据进行了分析。布兰德-奥特曼图显示,与睡眠日记相比,单问题和双问题报告的睡眠时间在视觉上存在差异。单问题(-17分钟)和双问题(8分钟)的睡眠时间估计均存在显著差异(均P <.001)。与日记估计相比,这些简单估计仅在±2.5 - 3小时内一致。该测量方法在整个测量范围内也存在微弱的系统偏差(rho = +0.204和+0.309,P <.001)。睡眠时间估计差异与健康决定因素之间存在显著差异和关联。
在一项大型在线调查中,估计习惯性睡眠时间的简单问题不准确且存在系统偏差。差异量与众所周知的社会人口统计学风险因素相关。