Stress Research Institute, Stockholm University, Stockholm, Sweden
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Proc Biol Sci. 2018 Jan 10;285(1870). doi: 10.1098/rspb.2017.2430.
Detection and avoidance of sick individuals have been proposed as essential components in a behavioural defence against disease, limiting the risk of contamination. However, almost no knowledge exists on whether humans can detect sick individuals, and if so by what cues. Here, we demonstrate that untrained people can identify sick individuals above chance level by looking at facial photos taken 2 h after injection with a bacterial stimulus inducing an immune response (2.0 ng kg lipopolysaccharide) or placebo, the global sensitivity index being = 0.405. Signal detection analysis (receiver operating characteristic curve area) showed an area of 0.62 (95% confidence intervals 0.60-0.63). Acutely sick people were rated by naive observers as having paler lips and skin, a more swollen face, droopier corners of the mouth, more hanging eyelids, redder eyes, and less glossy and patchy skin, as well as appearing more tired. Our findings suggest that facial cues associated with the skin, mouth and eyes can aid in the detection of acutely sick and potentially contagious people.
检测和避免患病个体被认为是行为防御疾病的重要组成部分,可以降低感染的风险。然而,目前几乎没有关于人类是否能够识别患病个体的知识,如果可以,又是通过什么线索来识别的。在这里,我们证明,未经过训练的人可以通过观察注射细菌刺激物(2.0ngkg 脂多糖)或安慰剂后 2 小时拍摄的面部照片,识别出患病个体,其全局敏感性指数为 = 0.405。信号检测分析(接收者操作特征曲线面积)显示面积为 0.62(95%置信区间为 0.60-0.63)。未受过训练的观察者将急性患病个体评定为嘴唇和皮肤苍白、面部肿胀、嘴角下垂、眼睑下垂、眼睛更红、皮肤光泽度差且有斑点、看起来更疲倦。我们的研究结果表明,与皮肤、口腔和眼睛相关的面部特征可以帮助识别急性患病和潜在传染性的人。