年轻女性群体的唇形和美学差异:统计图集研究。

IF 1.6 3区 医学 Q2 SURGERY Facial Plastic Surgery & Aesthetic Medicine Pub Date : 2024-08-12 DOI:10.1089/fpsam.2024.0046
John F Ryan, Lisa E Ishii, Jacob K Dey, Jason C Nellis, Shaun C Desai, Kofi D O Boahene, Masaru Ishii
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引用次数: 0

摘要

背景:年轻女性唇形的分布以及形态变化与吸引力之间的关系尚不明确。研究目的我们假设,在由统计图集模型生成的年轻女性嘴唇图像中,通过匿名调查参与者的测量,嘴唇较丰满的女性比嘴唇较不丰满的女性更有吸引力。研究方法使用 700 名 18-35 岁女性的照片创建了唇部形态统计图集。通过核心配对和平均图像确定了平均唇形。使用主成分分析法对形态变化进行分析。利用公开发布的调查问卷评估了吸引力与观察到的唇部形态之间的关系。结果:共收到 428 份调查反馈。我们建立了一个关于人群唇形变化及其与吸引力关系的统计模型。最具吸引力的嘴唇明显比人群中的平均唇形丰满,垂直高度和表面积也更大。结论统计图集可以为人口中唇形的变化提供直观的指导。最具吸引力的唇形与人群平均唇形有显著差异,这为增加唇部高度和表面积的手术提供了支持。
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Variation in Lip Shape and Aesthetics in the Young Female Population: A Statistical Atlas Study.

Background: The distribution of lip shapes in young females and how morphological variation relates to attractiveness are poorly defined. Objectives: We hypothesized that among young female lip images generated by a statistical atlas model, those with more full lips compared with those with less full lips would be perceived as more attractive as measured by anonymous survey participants. Method: A statistical atlas of lip morphology was created using photographs of 700 women aged 18-35 years. The average lip shape was determined by coregistering and averaging images. Morphological variation was analyzed using principal component analysis. The relationship between attractiveness and observed lip morphologies was assessed using publicly distributed surveys. Results: In total, 428 survey responses were obtained. We developed a statistical model of variation of lip shape in the population and its relationship to attractiveness. The most attractive lips were significantly fuller than the average shape in the population, with greater vertical height and surface area. Conclusion: A statistical atlas can provide a visual guide to variation in lip shape in the population. The most attractive lip shapes vary significantly from the population average, lending support to procedures that increase lip height and surface area.

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来源期刊
CiteScore
2.70
自引率
30.00%
发文量
159
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