Discriminating between sick and healthy faces based on early sickness cues: an exploratory analysis of sex differences.

IF 3.3 3区 医学 Q2 EVOLUTIONARY BIOLOGY Evolution, Medicine, and Public Health Pub Date : 2023-09-27 eCollection Date: 2023-01-01 DOI:10.1093/emph/eoad032
Arnaud Tognetti, Evelina Thunell, Marta Zakrzewska, Jonas Olofsson, Mats Lekander, John Axelsson, Mats J Olsson
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Abstract

Background and objectives: It has been argued that sex and disease-related traits should influence how observers respond to sensory sickness cues. In fact, there is evidence that humans can detect sensory cues related to infection in others, but lack of power from earlier studies prevents any firm conclusion regarding whether perception of sickness cues is associated with sex and disease-related personality traits. Here, we tested whether women (relative to men), individuals with poorer self-reported health, and who are more sensitive to disgust, vulnerable to disease, and concerned about their health, overestimate the presence of, and/or are better at detecting sickness cues.

Methodology: In a large online study, 343 women and 340 men were instructed to identify the sick faces from a series of sick and healthy photographs of volunteers with an induced acute experimental inflammation. Participants also completed several disease-related questionnaires.

Results: While both men and women could discriminate between sick and healthy individuals above chance level, exploratory analyses revealed that women outperformed men in accuracy and speed of discrimination. Furthermore, we demonstrated that higher disgust sensitivity to body odors is associated with a more liberal decision criterion for categorizing faces as sick.

Conclusion: Our findings give strong support for the human ability to discriminate between sick and healthy individuals based on early facial cues of sickness and suggest that women are significantly, although only slightly, better at this task. If this finding is replicated, future studies should determine whether women's better performance is related to increased avoidance of sick individuals.

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基于早期疾病线索区分病态和健康面孔:性别差异的探索性分析。
背景和目的:有人认为,性别和疾病相关特征应该影响观察者对感觉疾病线索的反应。事实上,有证据表明,人类可以检测到与他人感染有关的感觉线索,但由于早期研究的不足,无法就疾病线索的感知是否与性别和疾病相关的性格特征有关得出任何确切的结论。在这里,我们测试了女性(相对于男性)、自我报告健康状况较差的人、对厌恶更敏感、更容易感染疾病、更关心自己健康的人是否高估了疾病线索的存在和/或更善于检测疾病线索。方法:在一项大型在线研究中,343名女性和340名男性被要求从一系列患有急性实验性炎症的志愿者的健康照片中识别出患病的面孔。参与者还完成了一些与疾病相关的问卷调查。结果:虽然男性和女性都可以在机会水平以上区分生病和健康的人,但探索性分析显示,女性在歧视的准确性和速度方面优于男性。此外,我们证明,对体味更高的厌恶敏感性与将人脸归类为病态的更自由的决策标准有关。结论:我们的研究结果有力地支持了人类根据疾病的早期面部线索来区分病人和健康人的能力,并表明女性在这项任务上明显更好,尽管只是稍微好一点。如果这一发现得到复制,未来的研究应该确定女性更好的表现是否与更多地避免生病有关。
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来源期刊
Evolution, Medicine, and Public Health
Evolution, Medicine, and Public Health Environmental Science-Health, Toxicology and Mutagenesis
CiteScore
5.40
自引率
2.70%
发文量
37
审稿时长
8 weeks
期刊介绍: About the Journal Founded by Stephen Stearns in 2013, Evolution, Medicine, and Public Health is an open access journal that publishes original, rigorous applications of evolutionary science to issues in medicine and public health. It aims to connect evolutionary biology with the health sciences to produce insights that may reduce suffering and save lives. Because evolutionary biology is a basic science that reaches across many disciplines, this journal is open to contributions on a broad range of topics.
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