Kelly Jason D, Comstock Bryan, Shauly Orr, Smartt James M, Gould Daniel J
Love My Delta, Inc., Philadelphia, PA, USA.
Division of Plastic and Reconstructive Surgery, Emory University School of Medicine, Emory University, Atlanta, GA, USA.
Aesthet Surg J Open Forum. 2021 Nov 26;4:ojab049. doi: 10.1093/asjof/ojab049. eCollection 2022.
In the past decade, there has been a dramatic increase in trends related to body-shaping procedures. According to the American Society of Plastic Surgeons, nearly 300,000 breast augmentation procedures were conducted in 2019. Learning the ideal shape of a breast and which esthetics lead to public perception of the most attractive breast is beneficial to properly performing these procedures.
The authors aimed to quantify the public's perception of attraction to breast shape by measuring public opinion for various esthetic elements of breast anatomy and linking this to various demographic factors.
Survey responses were collected from 1000 users of Amazon Mechanical Turk to collect demographic data and ask users to rank preferences for randomized image panels of breast proportions.
960 responses were used for analysis. A majority of respondents were male (60%), with a plurality being 25 to 34 years old (49.3%). The most notable preferences between all groups were breast projection proportion and nipple direction, with preferences of 1.0 and frontal nipple direction, respectively. Breast width to shoulder width ratio also had a clear preference among the crowd, with 105% being the preferred percentage, and the 25 to 34 age group having a very strong preference for this.
The authors used a crowdsourcing survey technique with randomized image panels to analyze ideal breast preference using images of various anatomical traits of the female breast. It was concluded that crowdsourcing can be a favorable technique for learning ideal overall preferences for specific anatomy.
在过去十年中，与身体塑形手术相关的趋势急剧增加。根据美国整形外科医师协会的数据，2019年进行了近30万例隆胸手术。了解乳房的理想形状以及哪些美学因素会导致公众认为乳房最具吸引力，有助于正确实施这些手术。
作者旨在通过测量公众对乳房解剖结构各种美学元素的看法，并将其与各种人口统计学因素联系起来，量化公众对乳房形状吸引力的看法。
从亚马逊土耳其机器人的1000名用户那里收集调查回复，以收集人口统计学数据，并要求用户对随机排列的乳房比例图像面板进行偏好排序。
960份回复用于分析。大多数受访者为男性（60%），其中多数年龄在25至34岁之间（49.3%）。所有组中最显著的偏好是乳房突出比例和乳头方向，分别偏好1.0和乳头朝前方向。乳房宽度与肩宽之比在人群中也有明显偏好，105%为首选比例，25至34岁年龄组对此有非常强烈的偏好。
作者使用了带有随机图像面板的众包调查技术，通过女性乳房各种解剖特征的图像来分析理想的乳房偏好。得出的结论是，众包可以成为了解特定解剖结构理想总体偏好的有利技术。
