Assessing the Roles of Symmetry, Prototypicality, and Sexual Dimorphism of face Shape in Health Perceptions
Assessing the Roles of Symmetry, Prototypicality, and Sexual Dimorphism of face Shape in Health Perceptions
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评估脸型的对称性、原型性和性别二态性在健康认知中的作用
DOI：
10.1007/s40750-024-00233-6
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发表时间：
2024
影响因子：
1.6
通讯作者：
Leger K
中科院分区：
文献类型：
--
作者：
Leger K
健康感知被认为在人类择偶偏好中起着重要作用。虽然许多研究已经调查了面部健康评级与面部对称性，原型性和性二态性之间的潜在关系，但研究结果各不相同。因此，我们测试了面部健康评级与对称性，原型性和这些面部形状的性别二态性之间的潜在关系。当这三个形状特征被认为是在单独的回归模型中，我们观察到显着的正相关关系的健康评级和形状对称性和原型。相比之下，在这些分析中，健康评级和性二型性没有显着相关性。然而，在分析中，对称性，原型性和性二型性同时进入作为预测因子在一个单一的模型，原型性，而不是对称性，与健康评级显着相关。此外，在这些分析中，性别二型性预测了女性的健康评级，而不是男性。总的来说，这些结果表明，对称性和健康评级之间的关系是，至少部分地，由原型对健康感知的影响驱动，并强调了在调查预测健康感知的因素时考虑脸型多个方面的重要性。
Health perceptions are thought to play an important role in human mate preferences. Although many studies have investigated potential relationships between health ratings of faces and facial symmetry, prototypicality, and sexual dimorphism, findings have been mixed across studies. Consequently, we tested for potential relationships between health ratings of faces and the symmetry, prototypicality, and sexual dimorphism of those faces’ shapes. When these three shape characteristics were considered in separate regression models, we observed significant positive relationships between health ratings and both shape symmetry and prototypicality. By contrast, health ratings and sexual dimorphism were not significantly correlated in these analyses. However, in analyses in which symmetry, prototypicality, and sexual dimorphism were entered simultaneously as predictors in a single model, prototypicality, but not symmetry, was significantly correlated with health ratings. Moreover, sexual dimorphism predicted health ratings of female, but not male, faces in these analyses. Collectively, these results suggest that the relationship between symmetry and health ratings is, at least partly, driven by the effect of prototypicality on health perceptions and highlight the importance of considering multiple aspects of face shape when investigating factors that predict perceived health.