Division of Endocrinology, New York Obesity Nutrition Research Center, Department of Medicine, Columbia University Irving Medical Center, New York, New York.
Sleep Center of Excellence, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York.
J Clin Sleep Med. 2019 Jul 15;15(7):1031-1036. doi: 10.5664/jcsm.7888.
To investigate the correlation between self-reported and objective measures of total sleep time (TST) in adults and examine whether sex, race/ethnicity, and weight status influence this association.
Participants were individuals who screened for sleep intervention studies, providing > 7 days of wrist actigraphy sleep data (TSTobj) and reporting sleep duration (TSTPSQI) using the Pittsburgh Sleep Quality Index (PSQI) questionnaire (n = 53 men, 60 women; 59% minority/Hispanics; age 30.9 ± 9.7 years; body mass index 26.2 ± 3.2 kg/m2). In addition, TSTbed/wake was calculated as the difference between bedtime and waketime, minus the time to fall asleep, from the PSQI. Univariate regression analyses were performed to assess the relation between TSTobj and TSTPSQI and TSTbed/wake and compare the relation by sex, race, and ethnicity. Bland-Altman tests were done to assess bias by sex, race/ethnicity, weight status, and sleep quality.
TSTbed/wake correlated with TSTobj ( = .57, < .0001). TSTPSQI and TSTbed/wake were greater than TSTobj (0.63 ± 0.99 hours and 0.79 ± 0.76 hours, respectively, both < .0001). The difference between TSTPSQI and TSTobj did not vary by sex (β = .12, = .52), race/ethnicity (β = .15, = .48), age (β = -.01, = .27), or body mass index (β = .04, = .13) whereas that between TSTbed/wake and TSTobj varied by age (β = -.020, = .0051), BMI (β = .054, = .0021), race/ethnicity (β = .36, = .021), and sleep efficiency (β = -.089, < .0001).
Calculating TST using self-reported bedtimes and wake times provided TST estimate that correlated with TSTobj but greater over-reporting occurred in younger and heavier individuals, non-whites or Hispanics, and those with low sleep efficiency. In clinical and research settings, asking individuals to report bedtimes, wake times, and length of time to fall asleep may more accurately estimate TST than asking about sleep duration alone.
调查成年人自我报告和客观测量的总睡眠时间（TST）之间的相关性，并检查性别、种族/民族和体重状况是否影响这种相关性。
参与者是筛查睡眠干预研究的个体，提供了超过 7 天的腕部动作计睡眠数据（TSTobj），并使用匹兹堡睡眠质量指数（PSQI）问卷报告睡眠持续时间（TSTPSQI）（n = 53 名男性，60 名女性；59%为少数族裔/西班牙裔；年龄 30.9 ± 9.7 岁；体重指数 26.2 ± 3.2 kg/m2）。此外，TSTbed/wake 是从 PSQI 中计算出来的，即就寝时间和醒来时间之间的差值减去入睡时间。进行单变量回归分析以评估 TSTobj 与 TSTPSQI 和 TSTbed/wake 之间的关系，并按性别、种族和族裔比较关系。进行 Bland-Altman 检验以评估性别、种族/民族、体重状况和睡眠质量的偏差。
TSTbed/wake 与 TSTobj 相关（ =.57， <.0001）。TSTPSQI 和 TSTbed/wake 大于 TSTobj（分别为 0.63 ± 0.99 小时和 0.79 ± 0.76 小时，均 <.0001）。TSTPSQI 和 TSTobj 之间的差异不因性别（β =.12， =.52）、种族/民族（β =.15， =.48）、年龄（β = -.01， =.27）或体重指数（β =.04， =.13）而异，而 TSTbed/wake 和 TSTobj 之间的差异因年龄（β = -.020， =.0051）、BMI（β =.054， =.0021）、种族/民族（β =.36， =.021）和睡眠效率（β = -.089， <.0001）而异。
使用自我报告的就寝时间和醒来时间计算 TST 提供了与 TSTobj 相关的 TST 估计值，但在较年轻和较重的个体、非白种人或西班牙裔个体以及睡眠效率较低的个体中，报告的 TST 偏高。在临床和研究环境中，要求个人报告就寝时间、醒来时间和入睡时间可能比仅询问睡眠持续时间更能准确估计 TST。
