Facial Adiposity Research Articles

Why do human ears get longer with age? Auricular stretching by facial adiposity: A hypothesis

Historically, in old Chinese writings, long human ears were associated with wealth and increased survival. Over the last three decades, several studies have demonstrated that ear length increases as we age. Despite various hypotheses, there is no clear understanding of the mechanism or the purpose of such an interesting phenomenon. The author is proposing, herein that ear elongation occurs secondary to chronic mechanical tension on the auricle by the facial fat accumulation (facial adiposity), particularly in the area anterior to the ear. Facial adiposity occurs not only during aging but also with postmenopausal transition, as well as medical conditions associated with central obesity. Further research is needed to test the proposed hypothesis.

The Five Ds for Safe and Effective Buccal Fat Removal.

An aesthetically sculpted malar, cheek, and jawline contour is a desirable feature sought out by many adults with central facial adiposity. This fullness, anterior to the masseter, can be attributed to underlying buccal lipodystrophy. An attractive central facial concavity can be delivered by performing buccal fat pad excision in conjunction with malar fat pad augmentation and mandibular contouring if indicated. Appropriate patient selection is critical for preventing an aged or unnatural appearance. The authors present a safe and reliable five-step technique for buccal fat pad excision: the Five Ds.

Unified Anatomical Explanation of Diagonal Earlobe Creases, Preauricular Creases, and Paired Creases of the Helix.

Three types of ear creases have been described in the medical literature in association with several cardiovascular and metabolic disorders: diagonal earlobe creases (DELCs) (Frank’s sign), preauricular vertical creases, and paired ear creases of the helix (PECH). The exact mechanism of development of such creases, as well as an explanation of their association with cardiometabolic disorders, remains unclear. Herein, the author provides a suggested unified mechanism of development of all three types of auricular creases. In addition, an anatomical explanation linking the associated cardiometabolic disorders and the three types of ear creases to the common culprit of facial visceral adiposity will be given.

Preauricular anteroparotid transmasseteric approach of the mandibular condyle: The natural evolution after cervical dissections? An anatomical feasibility study

The purpose of this study was to evaluate the reliability and reproducibility of a novel approach for base and neck fractures of the mandible. An anatomical study was conducted on 22 given to Science subjects. A rhytidectomy-like approach was performed, followed by a transmasseteric anteroparotid dissection. Measures were taken of the incision length and bone exposure at every step. The identification of a ramus of the facial nerve during dissection was noted. The subjects were classified according to their facial adiposity. A correlation coefficient was measured between incision length and bone exposure as well as morphotype and bone exposure. Statistical analysis was carried out using the Pearson method for linear correlation, and Chi2 test for further analysis. Adequate condylar exposure was always achieved in the area of interest (i.e. in the main localization of base and neck fractures). There was no correlation between the length of the cranial cutaneous backcut and the bone exposure horizontally (p=0.3296) or vertically (p=0.8382). There was no correlation between the total length of the incision and the bone exposure horizontally (p=0.5171) or vertically (p=0.8404). There was a significant correlation between the subjects' facial adiposity and the bone exposure horizontally and vertically (p<0.005). This approach allowed adequate bone exposure to the mandible base and neck, with a possible 90° angulation of instruments for optimal bone fixation. The incidence of facial nerve rami identification during dissection was similar to other approaches. The scarring was hidden. These results allowed us to propose this approach in a clinical study.

Changes in Facial Shape throughout Pregnancy—A Computational Exploratory Approach

Facial cognition serves an important role in human daily interactions. It has been suggested that facial shape can serve as a signal for underlining biological condition, and that it is correlated with, among others, health, fertility, and attractiveness. In this study, 14 women were photographed during three consecutive trimesters of pregnancy, and the levels of their facial sexual dimorphism, asymmetry, and averageness were computed. Facial sexual dimorphism in first trimester was higher than in the second trimester (F(2, 22) = 5.77; p = 0.01; ηp2 = 0.34, post-hoc Tukey HSD test p = 0.007). Similar pattern was visible for asymmetry (F(2, 22) = 3.67; p = 0.04; ηp2 = 0.25, post-hoc Tukey HSD test p = 0.05). No statistically significant changes in measurement of averageness were observed. Results from Bayesian complementary analyses confirmed the observed effects for sexual dimorphism. The evidence for trimester differences in asymmetry and averageness was inconsequential. Based on the preliminary results of this exploratory study, we suggest that previously found decrease in observed facial attractiveness during pregnancy can be related to the decrease in computed facial femininity (possibly mediated by the changes in facial adiposity).

Do adipokines levels influence facial attractiveness of young women?

Facial attractiveness is thought to reflect an individual's biological condition. This seems to be largely explained by the relationship between facial appearance and body adiposity, a trait that affects various aspects of body homeostasis, including fertility and immunity. The aim of this study was to test if, a part of adipose tissue amount, also levels of hormones secreted by adipose tissue are reflected in women's appearance, focusing on the two most abundant adipokines. Due to the opposing effects of adiponectin and leptin on health, we hypothesized that leptin negatively and adiponectin positively correlate with women's attractiveness. The study sample included 174 young, healthy women (Mage = 28.50, SDage = 2.38). Serum leptin and adiponectin levels were measured. Estradiol (E2), testosterone (T), and BMI levels were controlled in the analyses. Face photographs were taken and facial attractiveness ratings, assessed by men, were gathered in online questionnaires. Perceived facial attractiveness correlated negatively with leptin level and leptin/adiponectin ratio, but did not correlate with adiponectin level. The results were similar, when controlled for E2, T, and BMI. Adipokines levels did not mediate or moderate the relationship between facial attractiveness and BMI. The results showed that perceived facial attractiveness is predicted by adipose-derived hormones detrimental for health, like leptin, but is not related with beneficial hormones, such as adiponectin. However, the levels of these two adipokines do not impact the relationship between perceived facial attractiveness and adiposity, and thus do not explain the relationship between facial attractiveness, body adiposity, and biological condition.

Visual BMI estimation from face images using a label distribution based method

Body mass index (BMI) analysis from face images is an interesting and challenging topic in machine learning and computer vision. Recent research shows that facial adiposity is associated with BMI prediction. In this work, we investigate the problem of visual BMI estimation from face images by a two-stage learning framework. BMI-related facial features are learned from the first stage. Then a label distribution based BMI estimator is learned by an optimization procedure that is implemented by projecting the features and assigned labels to a new domain which maximizing the correlation between them. Two label assignment strategies are analyzed for modeling the single BMI value as a discrete probability distribution over a range of BMIs. Extensive experiments are conducted on FIW-BMI, Morph II and VIP_attribute datasets. The experimental results show that the two-stage learning framework improves the performance step by step. More importantly, the proposed BMI estimator efficiently reduces the error. It outperforms regression based methods, two label distribution methods and two deep learning methods in most cases.

Identification of the Facial Features of Patients With Cancer: A Deep Learning-Based Pilot Study.

BackgroundCancer has become the second leading cause of death globally. Most cancer cases are due to genetic mutations, which affect metabolism and result in facial changes.ObjectiveIn this study, we aimed to identify the facial features of patients with cancer using the deep learning technique.MethodsImages of faces of patients with cancer were collected to build the cancer face image data set. A face image data set of people without cancer was built by randomly selecting images from the publicly available MegaAge data set according to the sex and age distribution of the cancer face image data set. Each face image was preprocessed to obtain an upright centered face chip, following which the background was filtered out to exclude the effects of nonrelative factors. A residual neural network was constructed to classify cancer and noncancer cases. Transfer learning, minibatches, few epochs, L2 regulation, and random dropout training strategies were used to prevent overfitting. Moreover, guided gradient-weighted class activation mapping was used to reveal the relevant features.ResultsA total of 8124 face images of patients with cancer (men: n=3851, 47.4%; women: n=4273, 52.6%) were collected from January 2018 to January 2019. The ages of the patients ranged from 1 year to 70 years (median age 52 years). The average faces of both male and female patients with cancer displayed more obvious facial adiposity than the average faces of people without cancer, which was supported by a landmark comparison. When testing the data set, the training process was terminated after 5 epochs. The area under the receiver operating characteristic curve was 0.94, and the accuracy rate was 0.82. The main relative feature of cancer cases was facial skin, while the relative features of noncancer cases were extracted from the complementary face region.ConclusionsIn this study, we built a face data set of patients with cancer and constructed a deep learning model to classify the faces of people with and those without cancer. We found that facial skin and adiposity were closely related to the presence of cancer.

Facial Adiposity, Attractiveness, and Health: A Review.

The relationship between facial cues and perceptions of health and attractiveness in others plays an influential role in our social interactions and mating behaviors. Several facial cues have historically been investigated in this regard, with facial adiposity being the newest addition. Evidence is mounting that a robust link exists between facial adiposity and attractiveness, as well as perceived health. Facial adiposity has also been linked to various health outcomes such as cardiovascular disease, respiratory disease, blood pressure, immune function, diabetes, arthritis, oxidative stress, hormones, and mental health. Though recent advances in the analysis of facial morphology has led to significant strides in the description and quantification of facial cues, it is becoming increasingly clear that there is a great deal of nuance in the way that humans use and integrate facial cues to form coherent social or health judgments of others. This paper serves as a review of the current literature on the relationship between facial adiposity, attractiveness, and health. A key component in utilizing facial adiposity as a cue to health and attractiveness perceptions is that people need to be able to estimate body mass from facial cues. To estimate the strength of the relationship between perceived facial adiposity and body mass, a meta-analysis was conducted on studies that quantified the relationship between perceived facial adiposity and BMI/percentage body fat. Summary effect size estimates indicate that participants could reliably estimate BMI from facial cues alone (r = 0.71, n = 458).

Do prevailing environmental factors influence human preferences for facial morphology?

Prevailing environmental factors influence preferences for attractive traits across many species. In humans, debate surrounds the role of environmental pathogens and economic development in determining facial attractiveness. We tested whether women and men's preferences for facial dimorphism, symmetry, skin tone, and adiposity differ among Melanesian participants from 3 islands (Espiritu Santo, Efate, and Tanna) in Vanuatu in the South West Pacific. These islands vary in their historical malarial pathogens respectively from pronounced to almost absent and are characterized by within and between island differences in economic development, ranging from urbanized market-based economies to remote rural horticultural communities. We found no support for the hypothesis that masculine male faces or feminine female faces are more attractive in environments with higher exposure to malarial pathogens or urban development. However, preferences for facial symmetry were highest in islands with higher malarial rates, possibly as symmetry indicates health and guides mate selection in disease rich environments. However, past evidence linking symmetry and health is weak, and we therefore interpret our findings cautiously. Women from peri-urban communities preferred male faces with lighter skin to rural and urban participants. Men from urban areas stated higher preferences for symmetry than peri-urban and rural male participants. All other effects were not statistically significant. While cross-cultural studies comparing preferences between disparate cultures provide evidence of associations between environmental effects and preferences for some facial traits, our results suggest these associations might not always persist at more fine-grain scales within small-scale societies.

Perception of health from facial cues.

Impressions of health are integral to social interactions, yet poorly understood. A review of the literature reveals multiple facial characteristics that potentially act as cues to health judgements. The cues vary in their stability across time: structural shape cues including symmetry and sexual dimorphism alter slowly across the lifespan and have been found to have weak links to actual health, but show inconsistent effects on perceived health. Facial adiposity changes over a medium time course and is associated with both perceived and actual health. Skin colour alters over a short time and has strong effects on perceived health, yet links to health outcomes have barely been evaluated. Reviewing suggested an additional influence of demeanour as a perceptual cue to health. We, therefore, investigated the association of health judgements with multiple facial cues measured objectively from two-dimensional and three-dimensional facial images. We found evidence for independent contributions of face shape and skin colour cues to perceived health. Our empirical findings: (i) reinforce the role of skin yellowness; (ii) demonstrate the utility of global face shape measures of adiposity; and (iii) emphasize the role of affect in facial images with nominally neutral expression in impressions of health.

About Face

The physician’s general survey is an invaluable method for quickly assessing a patient’s overall health and demeanor. Recent studies in psychology have found that qualities of one’s face—including skin coloration and facial adiposity—are associated with one’s underlying health. Subtle variations in these features can indicate serious health problems but can be detected with the untrained eye. Here, we describe how these facial traits link to health and discuss how such cues could be incorporated into the physician’s general survey. In light of research on the barriers preventing physicians from implementing new approaches in their practice, we also consider how scans of facial cues to health could be rapidly and effortlessly integrated into a physician’s current general survey. Integrating assessments of facial cues to health into the general survey would be a simple, low-risk, and low-cost way to detect, monitor, and track possible health concerns, particularly in the burgeoning field of telemedicine.

Heavy Matters

People can reliably infer various traits, states, and group memberships from minimal cues. Despite impressive demonstrations of the breadth of social perception, however, few studies have critically examined the sensitivity and limits of social perception in specific quantitative terms. Here, we investigated the just noticeable difference for perceptions of a facial trait with profound consequences for social behavior, that is, facial attractiveness. Building on research examining facial adiposity, we determined the changes in body mass index needed to meaningfully alter perceivers’ judgments of weight and attractiveness. Although perceivers recognized differences as small as 1.33 kg/m2, changes of roughly twice that size (2.38 kg/m2 and 2.59 kg/m2 for women and men, respectively) were necessary to alter attractiveness. These findings contribute to a greater basic understanding of the precision and limits of social perception and may provide information of value to medical practitioners and individuals seeking to manage changes in weight.

The influence of the digital divide on face preferences in El Salvador: people without internet access prefer more feminine men, more masculine women, and women with higher adiposity.

Previous studies on face preferences have found that online and laboratory experiments yield similar results with samples from developed countries, where the majority of the population has internet access. No study has yet explored whether the same holds true in developing countries, where the majority of the population does not have internet access. This gap in the literature has become increasingly important given that several online studies are now using cross-country comparisons. We therefore sought to determine if an online sample is representative of the population in the developing country of El Salvador. In studies of Hispanic men and women aged 18–25, we tested facial masculinity and adiposity preferences by collecting data in person as well as online. Our results showed that there were no differences in preferences between people who reported having internet access, whether they were tested online or in person. This provides evidence that testing style does not bias preferences among the same population. On the other hand, our results showed multiple differences in preferences between people who reported having internet access and people who reported not having internet access. More specifically, we found that people without internet access preferred more feminine men, more masculine women, and women with higher adiposity than people with internet access. We also found that people without internet access had fewer resources (e.g. running water) than people with internet access, suggesting that harshness in the environment may be influencing face preferences. These findings suggest that online studies may provide a distorted perspective of the populations in developing countries.

The Effects of Facial Adiposity on Attractiveness and Perceived Leadership Ability

Facial attractiveness has a positive influence on electoral success both in experimental paradigms and in the real world. One parameter that influences facial attractiveness and social judgements is facial adiposity (a facial correlate to body mass index, BMI). Overweight people have high facial adiposity and are perceived to be less attractive and lower in leadership ability. Here, we used an interactive design in order to assess whether the most attractive level of facial adiposity is also perceived as most leader-like. We found that participants reduced facial adiposity more to maximize attractiveness than to maximize perceived leadership ability. These results indicate that facial appearance impacts leadership judgements beyond the effects of attractiveness. We suggest that the disparity between optimal facial adiposity in attractiveness and leadership judgements stems from social trends that have produced thin ideals for attractiveness, while leadership judgements are associated with perception of physical dominance.

Judging the Difference between Attractiveness and Health: Does Exposure to Model Images Influence the Judgments Made by Men and Women?

Recent research has shown facial adiposity (apparent weight in the face) to be a significant predictor of both attractiveness and health, thus making it an important determinant of mate selection. Studies looking at the relationship between attractiveness and health have shown that individuals differentiate between the two by preferring a lower weight for attractiveness than for health in female faces. However, these studies have either been correlational studies, or have investigated weight perceived from only the face. These differences have been discussed with regard to sociocultural factors such as pressure from parents, peers and also media, which has been seen to have the highest influence. While exposure to media images has been shown to influence women’s own-body image, no study has yet directly tested the influence of these factors on people’s preferred weight in other women’s bodies. Here we examine how a short exposure to images of models influences men’s and women’s judgments of the most healthy looking and attractive BMI in Malaysian Chinese women’s bodies by comparing differences in preferences (for attractiveness and health) between groups exposed to images of models of varying attractiveness and body weight. Results indicated that participants preferred a lower weight for attractiveness than for health. Further, women’s but not men’s preferred BMI for attractiveness, but not health, was influenced by the type of media images to which they were exposed, suggesting that short term exposure to model images affect women’s perceptions of attractiveness but not health.

Integrating shape cues of adiposity and color information when judging facial health and attractiveness.

Facial cues of adiposity play an important role in social perceptions, such as health and attractiveness judgments. Although relatively low levels of adiposity are generally associated with good health, low levels of adiposity are also a symptom of many communicable diseases. Consequently, it may be important to distinguish between individuals displaying low levels of facial adiposity because they are in good physical condition and those displaying low levels of facial adiposity because they are ill. Integrating information from facial cues of adiposity with information from other health cues, such as facial coloration, may facilitate such distinctions. Here, participants rated the health and attractiveness of face images experimentally manipulated to vary in shape cues of adiposity and color cues associated with perceived health. As we had predicted, the extent to which faces with low levels of adiposity were rated more positively than faces with relatively high levels of adiposity was greater for faces with healthy color cues than it was for faces with unhealthy color cues. Such interactions highlight the integrative processes that allow us to distinguish between healthy and unhealthy individuals during social interactions, potentially reducing the likelihood of contracting infectious diseases.

African Perceptions of Female Attractiveness

Little is known about mate choice preferences outside Western, educated, industrialised, rich and democratic societies, even though these Western populations may be particularly unrepresentative of human populations. To our knowledge, this is the first study to test which facial cues contribute to African perceptions of African female attractiveness and also the first study to test the combined role of facial adiposity, skin colour (lightness, yellowness and redness), skin homogeneity and youthfulness in the facial attractiveness preferences of any population. Results show that youthfulness, skin colour, skin homogeneity and facial adiposity significantly and independently predict attractiveness in female African faces. Younger, thinner women with a lighter, yellower skin colour and a more homogenous skin tone are considered more attractive. These findings provide a more global perspective on human mate choice and point to a universal role for these four facial cues in female facial attractiveness.

Concordant preferences for actual height and facial cues to height

Physical height has a well-documented effect on human mate preferences. In general, both sexes prefer opposite-sex romantic relationships in which the man is taller than the woman, while individual preferences for height are affected by a person’s own height. Research in human mate choice has demonstrated that attraction to facial characteristics, such as facial adiposity, may reflect preferences for body characteristics. Here, we tested preferences for facial cues to height. In general, increasing apparent height in men’s faces and slightly decreasing apparent height in women’s faces maximizes perceived attractiveness. Individual preferences for facial cues to height were predicted by self-reported preferences for actual height. Furthermore, women’s own height predicted opposite-sex preferences for facial cues to apparent height, though this finding did not extend to male participants. These findings validate the use of facial cues to height and demonstrate a further component of facial attractiveness that reflects preferences for body characteristics.

Perceived facial adiposity conveys information about women's health

Although several prominent theories of human facial attractiveness propose that some facial characteristics convey information about people's health, empirical evidence for this claim is somewhat mixed. While most previous research into this issue has focused on facial characteristics such as symmetry, averageness, and sexual dimorphism, a recent study reported that ratings of facial adiposity (i.e., perceptions of fatness in the face) were positively correlated with indices of poor physical condition in a sample of young adults (i.e., reported past health problems and measures of cardiovascular fitness). These findings are noteworthy, since they suggest that perceived adiposity is a potentially important facial cue of health that has been overlooked by much of the previous work in this area. Here, we show that ratings of young adult women's facial adiposity are (1) better predicted by their body weight than by their body shape (Studies 1 and 2), (2) correlated with a composite measure of their physical and psychological condition (Study 2), and (3) negatively correlated with their trait (i.e., average) salivary progesterone levels (Study 3). Together, these findings present further evidence that perceived facial adiposity, or a correlate thereof, conveys potentially important information about women's actual health.