Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Department of Psychology, New York University, New York, NY.
J Sleep Res. 2019 Dec;28(6):e12860. doi: 10.1111/jsr.12860. Epub 2019 Apr 21.
The faces of people who are sleep deprived are perceived by others as looking paler, less healthy and less attractive compared to when well rested. However, there is little research using objective measures to investigate sleep-loss-related changes in facial appearance. We aimed to assess the effects of sleep deprivation on skin colour, eye openness, mouth curvature and periorbital darkness using objective measures, as well as to replicate previous findings for subjective ratings. We also investigated the extent to which these facial features predicted ratings of fatigue by others and could be used to classify the sleep condition of the person. Subjects (n = 181) were randomised to one night of total sleep deprivation or a night of normal sleep (8-9 hr in bed). The following day facial photographs were taken and, in a subset (n = 141), skin colour was measured using spectrophotometry. A separate set of participants (n = 63) later rated the photographs in terms of health, paleness and fatigue. The photographs were also digitally analysed with respect to eye openness, mouth curvature and periorbital darkness. The results showed that neither sleep deprivation nor the subjects' sleepiness was related to differences in any facial variable. Similarly, there was no difference in subjective ratings between the groups. Decreased skin yellowness, less eye openness, downward mouth curvature and periorbital darkness all predicted increased fatigue ratings by others. However, the combination of appearance variables could not be accurately used to classify sleep condition. These findings have implications for both face-to-face and computerised visual assessment of sleep loss and fatigue.
与休息良好相比,睡眠不足的人给他人的印象是脸色苍白、健康状况不佳且缺乏吸引力。然而,使用客观测量来研究睡眠不足对面部外观变化的研究很少。我们旨在使用客观测量来评估睡眠剥夺对面部肤色、眼睛张开度、嘴部曲率和眶周黑暗度的影响,以及复制以前关于主观评价的发现。我们还研究了这些面部特征在多大程度上可以预测他人的疲劳程度,并可以用于对人的睡眠状况进行分类。受试者(n=181)被随机分配到一夜完全睡眠剥夺或一夜正常睡眠(8-9 小时卧床)。第二天拍摄面部照片,并在一个亚组(n=141)中使用分光光度计测量皮肤颜色。另一组参与者(n=63)随后根据健康、苍白和疲劳对照片进行评分。还对照片进行了眼部张开度、嘴部曲率和眶周黑暗度的数字分析。结果表明,睡眠剥夺和受试者的困倦都与任何面部变量的差异无关。同样,两组之间的主观评分也没有差异。皮肤黄度降低、眼睛张开度减小、嘴部向下弯曲和眶周黑暗度增加都预示着他人的疲劳评分增加。然而,外观变量的组合不能准确地用于对睡眠状况进行分类。这些发现对面对面和计算机化的睡眠不足和疲劳视觉评估都有影响。