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Human physical appearance
Human physical appearance
Human physical appearance
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Human physical appearance is the outward phenotype or look of human beings.

Image of a European female (left) and an East Asian male (right) human body seen from front (upper) and back (lower). Adult human bodies photographed whose naturally-occurring pubic, body, facial, but not head hair have been deliberately removed to show anatomy. Retouched with anterior and posterior views.

There are functionally infinite variations in human phenotypes, though society reduces the variability to distinct categories. The physical appearance of humans, in particular those attributes which are regarded as important for physical attractiveness, are believed by anthropologists to affect the development of personality significantly and social relations. Many humans are acutely sensitive to their physical appearance.[1] Some differences in human appearance are genetic, others are the result of age, lifestyle or disease, and many are the result of personal adornment.

Perception of the human body is not only based on the visual look, but also on other sensory inputs, including voice and scent.

Some people have linked some differences with ethnicity, such as skeletal shape, prognathism or elongated stride. Different cultures place different degrees of emphasis on physical appearance and its importance to social status and other phenomena.

Aspects

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Various aspects are considered relevant to the physical appearance of humans.

Natural differences in body appearance

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Main article: Anatomical variation

Humans are distributed across the globe except for Antarctica and form a variable species. In adults, the average weight varies from around 40 kg (88 pounds) for the smallest and most lightly built tropical people to around 80 kg (176 pounds) for the heavier northern peoples.[2] Size also varies between the sexes, with the sexual dimorphism in humans being more pronounced than that of chimpanzees, but less than the dimorphism found in gorillas.[3] The colouration of skin, hair and eyes also varies considerably, with darker pigmentation dominating in tropical climates and lighter in polar regions.

The following are non-exhaustive lists of causes and kinds of variations which are completely or partially unintentional.

Examples of unintentional causes of variation in body appearance:

Examples of general anatomical or anthropometric variations:

Examples of variations of specific body parts:

There are also body and skin unconventional variations such as amputations or scars.

Short-term physiological changes

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Clothing, personal effects, and intentional body modifications

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Other functional objects, temporarily attached to the body

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See also

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Wikimedia Commons has media related to Appearance.

References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia

Human physical appearance

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from Grokipedia

Human physical appearance comprises the observable external traits of the body, including stature, , skin pigmentation, hair type and color, , and facial structure, primarily governed by with modulation from environmental influences such as , , and . These traits exhibit significant variation across individuals and populations, reflecting evolutionary adaptations to diverse ecological niches, including , reduced for , and craniofacial modifications for dietary and social functions. Sexual dimorphism is a defining feature, with males typically exhibiting greater average height, skeletal robustness, muscle mass, and upper body strength compared to females, who show higher body fat percentages and wider pelvic dimensions adapted for reproduction. Globally, adult male height averages around 171 cm, while female height averages 159 cm, with ratios consistently near 1.07 across populations due to differential growth patterns influenced by sex hormones. Skin color variation, driven by melanin production genes like SLC24A5 and MC1R, follows a latitudinal cline as an adaptation to ultraviolet radiation levels, darker pigmentation in equatorial regions protecting against UV damage and lighter tones at higher latitudes facilitating vitamin D synthesis. Population-level differences in traits such as craniofacial morphology, body build, and pigmentation arise from , , and historical migrations, with over 135 genes identified influencing pigmentation alone. These variations underpin individual identity and but have been subject to interpretive biases in some academic contexts, where empirical genetic clustering is downplayed in favor of fluid social constructs despite robust estimates exceeding 80% for many traits.

Evolutionary and Biological Foundations

Ancestral Origins and Adaptations

Human physical appearance traces its ancestral origins to early hominins in , with key adaptations emerging around 6-7 million years ago during the transition from arboreal to terrestrial , as evidenced by fossilized foot and pelvic structures in species like Sahelanthropus tchadensis and . reshaped the skeleton for upright locomotion, including a shortened and broadened for weight support, realigned femoral necks for balance, an S-curved spine to position the center of gravity over the hips, and arched feet with enlarged heels for shock absorption and propulsion. These changes, observable in fossils dated to approximately 3.2 million years ago such as the "" specimen, reduced energy expenditure for long-distance travel by up to 75% compared to , facilitating across open savannas while freeing the upper limbs for tool manipulation and carrying. By the emergence of around 1.9 million years ago, body proportions approached modern human configurations, with elongated legs relative to arms for efficient striding and heat dissipation in tropical environments, as seen in fossils from , , exhibiting heights up to 1.8 meters and slender builds adapted for endurance activities like . Craniofacial traits evolved concurrently, featuring reduced , smaller teeth, and prominent brow ridges to accommodate larger brains (averaging 900-1,200 cm³ versus 400-500 cm³ in earlier australopiths), reflecting dietary shifts toward cooked foods and increased encephalization. These adaptations persisted into Homo sapiens, originating in circa 315,000 years ago, with fossils from , , displaying globular skulls, reduced facial robusticity, and body sizes averaging 1.6-1.7 meters in height, optimized for diverse habitats. Soft tissue adaptations complemented skeletal changes, including substantial reduction—likely evolving 1-2 million years ago in for enhanced evaporative cooling via sweating during prolonged physical exertion, as supported by comparative physiology with other mammals and genetic evidence of relaxed selection on genes. Ancestral pigmentation was darkly melanized, providing protection against intense ultraviolet radiation (UVR) in by minimizing degradation and risk, with genetic analyses of confirming high levels in early sapiens dated to 160,000 years ago. occurred later, post-Out-of-Africa migrations around 60,000-100,000 years ago, driven by selection for lighter in higher latitudes to enable cutaneous synthesis under low-UVB conditions, as evidenced by SLC24A5 and SLC45A2 allele sweeps in European populations dated to 8,000-10,000 years ago. This latitudinal cline in pigmentation, corroborated by genome-wide association studies, underscores UVR's causal role in balancing photoprotection with nutritional imperatives, rather than solely or other hypotheses lacking comparable empirical support.

Genetic and Developmental Mechanisms

Human physical appearance arises from the interplay of genetic instructions encoded in DNA, which direct cellular differentiation, tissue formation, and organ morphogenesis during embryonic and postnatal development. Twin studies indicate that traits such as height exhibit heritability estimates around 80%, reflecting substantial genetic influence over environmental factors in determining stature. Similarly, craniofacial morphology shows moderate to high heritability, with genome-wide association studies (GWAS) identifying variants in genes like PAX3 that affect features such as nasion prominence and eye-to-nasion distance. Most visible traits are polygenic, involving the cumulative effects of numerous genetic loci rather than single genes, as seen in skin pigmentation regulated by alleles in SLC24A5, OCA2, and , which modulate production and contribute to variation across populations. , for instance, is influenced by over 700 identified loci through GWAS, each exerting small effects on growth plate proliferation and longitudinal growth during development. Facial structure emerges from coordinated gene expression in cells, where disruptions in pathways like those involving EDNRA or genes can alter and cheekbone morphology, as evidenced in both Mendelian syndromes and population-level variation. Developmental mechanisms begin with zygotic genome activation, followed by Hox gene clusters establishing anterior-posterior body axes and limb patterning via regulatory cascades that specify segment identity and appendage formation. In humans, these processes are refined by species-specific regulatory elements, such as enhancers driving differential expression in craniofacial primordia, leading to unique skeletal proportions compared to other primates. Postnatally, genetic factors continue to influence growth trajectories, with puberty-onset surges in growth hormone and IGF1 signaling, modulated by variants in genes like HMGA2, determining final adult proportions. While gene-environment interactions exist, core morphological outcomes stem from deterministic genetic programs, with twin discordance primarily attributable to non-shared environmental noise rather than shared upbringing.

Selection Pressures on Traits

Human physical traits have been shaped by favoring to environmental challenges, such as climate and diet, and by promoting signals of mate quality, including and secondary sexual characteristics. Genetic analyses reveal signatures of positive selection on loci influencing morphology, with evidence of differential pressures across populations and sexes. For instance, shows polygenic adaptation, with alleles under selection in northern latitudes potentially linked to nutritional demands and , though stabilizing forces limit extremes to avoid complications like difficult births. , evidenced by cross-cultural mate preferences, has amplified dimorphic traits like male facial robustness and female waist-to-hip ratios, correlating with . Skin pigmentation exemplifies balancing selection driven by ultraviolet radiation (UVR) gradients. In high-UV equatorial environments, darker melanin-rich skin evolved to shield —a critical for and fetal development—from , reducing risks of neural tube defects and infertility. Conversely, in low-UV higher latitudes, lighter skin facilitated cutaneous production, preventing and supporting calcium absorption for skeletal integrity, with genomic scans confirming rapid depigmentation post-migration from around 60,000 years ago. These pressures interacted with and dietary factors, yielding clinal variation rather than discrete categories, though strong selective coefficients (up to 0.1-0.2) underscore their potency. Body size and proportions reflect competing natural and sexual pressures. Bergmann's and ecogeographic rules predict larger, stockier builds in colder climates for heat conservation, supported by records showing Neanderthal-like adaptations in early Europeans, though modern height increases owe more to post-industrial nutrition than direct selection. favors taller male stature, with studies indicating heritable preferences yielding fitness advantages via status and resource access, yet intralocus sexual conflict arises as height-increasing alleles benefit male reproduction but elevate risks for female gestation. traits, such as bilateral symmetry and averageness, signal low mutational load and developmental stability, with biometric data linking pubertal craniofacial divergence to mate-choice pressures. Ongoing selection persists, albeit relaxed in affluent societies due to medical interventions, but genomic evidence points to contemporary pressures on traits like and , influenced by differentials. Traits under , including vocal pitch and beard density, continue to diverge sexually, with meta-analyses confirming dimorphism's ties to circulating hormones and perceived attractiveness. While academic interpretations occasionally overemphasize cultural overlays, empirical genetic and cross-population data affirm these pressures' primacy in morphological evolution.

Intraspecific Variations

Sexual Dimorphism

Humans exhibit moderate sexual dimorphism in physical appearance compared to other anthropoid primates, with males averaging 15% larger in body size. This dimorphism emerges postnatally, influenced by sex steroids such as testosterone in males and estrogen in females, which drive divergences in growth trajectories starting around puberty. Key manifestations include differences in stature, body composition, skeletal structure, and secondary sexual characteristics, shaped by evolutionary pressures including sexual selection and reproductive roles. Adult are on average 7-12% taller than , with global estimates placing male at approximately 171 cm and female at 159 cm, yielding a consistent dimorphic across populations after adjusting for nutritional factors. also possess greater overall body mass, typically 15-20% heavier, attributable to higher lean tissue rather than fat. Skeletal differences are pronounced: have denser, thicker long bones, broader , and a narrower optimized for locomotion, while exhibit a wider and outlet adapted for parturition. These traits result in displaying greater upper-body robustness, with shoulder width exceeding hip width, contrasting with the inverted . Muscular dimorphism is stark, with males averaging 40-50% more upper-body and 30% more lower-body relative to body size, even after controlling for and weight; this stems from androgen-mediated during . Conversely, females allocate more resources to , comprising 25-31% body fat versus 12-20% in males, with fat preferentially distributed in gluteofemoral regions ( pattern) for reproductive energy storage, while males accumulate visceral and abdominal fat (android pattern). Facial and cranial features further delineate sexes: male faces are more robust, with prominent brow ridges, larger jaws, and squarer chins, whereas female faces tend toward neotenous proportions with fuller cheeks and smaller noses; these patterns vary by population but consistently favor male massiveness. Secondary traits include denser body hair, especially facial and androgenic patterns, versus sparser female distribution; permanent breast development absent in males; and deeper male voice pitch ( ~85-180 Hz versus ~165-255 Hz in females), reflecting laryngeal enlargement. Such differences, while averaging population-level trends, show overlap due to genetic and environmental variability, with dimorphism ratios stable across modern humans but reduced relative to ancestral hominids.

Population-Level Differences

Human populations, shaped by geographic isolation and environmental pressures over tens of thousands of years, display systematic variations in physical traits such as pigmentation, stature, , and craniofacial morphology. These differences arise primarily from acting on genetic variants that confer survival advantages in specific locales, including protection from ultraviolet radiation, optimization of , and efficient nutrient absorption. Genetic studies identify polygenic adaptations, with allele frequencies diverging between continental ancestries—such as sub-Saharan African, European, East Asian, and Indigenous American—reflecting founder effects and local selection rather than recent alone. Skin pigmentation exemplifies adaptive divergence: populations near the , like those of sub-Saharan African ancestry, exhibit darker melanin-rich skin via high-frequency alleles in genes such as SLC24A5 and MFSD12, shielding against intense UV-induced depletion and . In contrast, higher-latitude groups, including Europeans and some East Asians, show lighter skin through derived variants (e.g., SLC45A2 hypofunctional alleles fixed in Europeans around 10,000–20,000 years ago), facilitating synthesis under low-UV conditions. These patterns correlate with latitude, with intermediate tones in Mediterranean and South Asian populations, though gene-environment interactions modulate expression. and follow suit: straight, predominates in East Asian and Indigenous American groups via EDAR variants enhancing follicle density for cold-climate insulation, while tightly coiled hair in African-ancestry populations aids cooling in hot, humid environments; shifts from ubiquitous brown globally to blue/green in ~8–10% of Europeans due to OCA2 and mutations reducing iris melanin, likely selected post-bottleneck ~10,000 years ago. Stature and body build also vary markedly: adult men of Northern European descent average 180–183 cm (e.g., Dutch at 183 cm), exceeding East Asian (e.g., Chinese at ~172 cm) and Southeast Asian (e.g., Indonesian at ~163 cm) averages by 10–20 cm, with women showing parallel gaps of ~8–12 cm. These disparities stem from polygenic scores influenced by , history, and selection for metabolic efficiency—taller frames in colder climates per conserve heat via reduced surface-to-volume ratios, while shorter limbs () minimize exposure in equatorial groups. Craniofacial traits differ reliably: European skulls often feature narrower nasal apertures and projecting midfaces, African ones broader apertures and rectangular eye orbits for humid-air warming, and Asian ones shovel-shaped incisors and rounded orbits, enabling forensic ancestry estimation with 80–90% accuracy using morphometrics like bizygomatic breadth. Such variations are not purely clinal but cluster by ancestry, as genome-wide analyses reveal F_ST values () of 0.10–0.15 between major groups, exceeding neutral expectations and indicating selection on appearance-related loci. While admixture blurs boundaries in modern populations, core differences persist, informing fields like (e.g., variants) without implying . Empirical data from twin studies and GWAS underscore of 50–90% for these traits, tempered by shared environment in admixed cohorts.

Individual Genetic Variability

Individual differences in human physical appearance arise primarily from , with twin and family studies estimating high for many traits. For instance, adult height exhibits estimates of 70-95% across populations, as determined by comparisons of monozygotic and dizygotic twins, reflecting the additive effects of numerous genetic loci identified through genome-wide association studies (GWAS). Similarly, (BMI) shows ranging from 40-70% in twin studies, influenced by genetic factors that interact with environmental inputs, though estimates vary by age and population obesity levels. Pigmentation traits demonstrate polygenic inheritance, where multiple genes contribute to continuous variation. Skin color variation results from alleles at several loci affecting melanin production and distribution, with no single gene dominating; models incorporating 3-6 or more genes approximate observed gradients in human populations. Eye color is largely governed by variants in the OCA2 and HERC2 genes on chromosome 15, where a key polymorphism in HERC2 (rs12913832) regulates OCA2 expression to produce blue versus brown irises, though additional loci modulate intermediate shades. Hair color follows a polygenic pattern, with over 200 independent variants associated across the spectrum from blond to black, including a notable single-nucleotide change near KITLG linked to blondism in Europeans; red hair traces to MC1R variants reducing eumelanin. Hair texture, encompassing straight, wavy, or curly forms, is highly heritable, with genetic factors determining follicle shape and structure; studies identify loci influencing strand thickness and curliness, though exact mechanisms involve multiple genes beyond simple . Facial morphology exhibits complex genetic control, with GWAS meta-analyses revealing dozens of loci for features like nose width, shape, and eye spacing—e.g., a 2025 study of 946 traits in over 10,000 individuals pinpointed novel signals in intergenic regions and genes tied to craniofacial development. These variations stem from single-nucleotide polymorphisms (SNPs) and copy-number variants accumulated over generations, enabling diverse phenotypes within populations despite shared ancestry. Overall, such traits' underscores ' dominant role, tempered by epistatic interactions and minimal environmental overrides in controlled studies.

Dynamic Physiological Changes

Short-Term Fluctuations

Short-term fluctuations in human physical appearance encompass reversible physiological alterations occurring over hours to days, influenced by factors such as status, hydration levels, and hormonal variations, which can affect , facial features, and overall perceived . These changes are typically transient and stem from immediate bodily responses rather than genetic or developmental processes. Sleep deprivation induces noticeable facial modifications, including hanging eyelids, redder eyes, swollen eyes, darker under-eye circles, paler , increased wrinkles or fine lines, and droopy mouth corners, as observers rate such faces as less healthy and attractive compared to rested states. These effects arise from disrupted tissue repair, elevated inflammation, and impaired barrier function, with biophysical measures showing reduced hydration, elasticity, and translucency after restricted . Dehydration manifests in skin as temporary fine lines, dullness, flakiness, and reduced translucency due to diminished superficial and deep hydration layers, exacerbating light scattering and a less vibrant appearance. Increased dietary water intake reverses these in individuals with low baseline consumption, improving biomechanics and hydration metrics within days, though severe dehydration is required for pronounced effects beyond topical moisture. In women, the drives cyclic shifts in skin physiology, with the often yielding drier, darker skin, heightened sebum production, flare-ups, and increased temperature alongside blood flow, contrasting the follicular phase's relative stability. These alterations correlate with elevated progesterone and fluctuations, potentially influencing perceived facial attractiveness, though objective shape remains stable across phases. Body dissatisfaction peaks with premenstrual symptoms like , amplifying subjective appearance concerns. Acute stress triggers , dilated pupils, and skin eruptions via surges and vascular constriction, while exercise yields transient "pump" effects like enhanced muscle vascularity and post-workout , though these subside rapidly without sustained perceptual shifts in . Such fluctuations underscore appearance as a dynamic signal of immediate status, reversible upon normalization of the underlying trigger.

Lifespan and Aging Effects

During , which typically initiates between ages 8 and 13 in females and 9 and 14 in males, human physical appearance undergoes pronounced transformations driven by surges in sex hormones like and testosterone. These include a growth spurt adding an average of 25-30 cm (10-12 inches) in height, development of secondary sexual characteristics such as axillary and growth, in females, broadening of shoulders and increased muscle mass in males, and maturation of genitalia including enlargement of the , testes, and . Skin oiliness increases due to activation, often leading to , while body fat redistributes—typically accumulating in hips and thighs in females and decreasing overall in males. Adulthood, spanning roughly ages 20 to 50, features relative stability in physical appearance at peak form, with maximal around age 30, optimal skin turgor from high levels (peaking in the late teens to early 20s), and balanced reflecting —males averaging 10-15% body fat and females 20-25%. Subtle shifts emerge post-30, including gradual degradation at 1% annually, initiating fine lines from repetitive muscle contractions. Aging accelerates after the 40s, marked by molecular shifts in and , profoundly impacting appearance through intrinsic (genetic, hormonal) and extrinsic (UV exposure, smoking) factors. Skin thins as epidermal turnover slows, flatten, and corneocytes enlarge, reducing thickness by about 6.4% per decade; loses (up to 30% by age 40) and , causing sagging, wrinkles, and fragility, with post-menopausal loss of 10-20% per decade unevening tone. Hair grays from depletion starting in the 30s, thins via follicular (affecting 50% of follicles by age 50 in Caucasians), and may recede in androgenetic patterns more pronounced in males. Body composition alters with —muscle mass declining 3-5% per decade after 30, accelerating to 1-2% annually post-60—leading to reduced firmness and posture changes; fat redistributes centrally, diminishing facial volume and creating hollowing or jowls. reduces density by 0.5-1% yearly post-40, shrinking stature by 5-8 cm (2-3 inches) over decades via vertebral compression and remodeling, exacerbating facial sagging. These effects vary genetically and by sex—females experience more rapid post-menopausal and bone changes due to decline—while factors like sun exposure can double visible skin aging rates.

Human-Induced Modifications

Clothing and Adornments

Clothing serves as a primary means of modifying human physical appearance, overlaying the body's natural form to conceal, accentuate, or reshape visible traits such as , skin texture, and contours. Initially developed for and protection against environmental hazards, clothing evolved to influence social perceptions of attractiveness, status, and identity. Genetic analysis of body lice divergence indicates that regular use by anatomically modern humans began approximately 170,000 years ago, predating migrations to colder climates and enabling to diverse habitats. Archaeological evidence, including tools for animals found in a Moroccan dated to 120,000 years ago, supports early fabrication of and garments from species like , foxes, and wildcats. The transition from rudimentary coverings to tailored , marked by the appearance of eyed around 40,000 years ago, allowed for fitted garments that altered silhouettes and facilitated adornment integration. This shift reflects a progression from functional utility to aesthetic and social signaling, where began to convey cultural norms, roles, and reproductive fitness cues. For instance, form-fitting attire can enhance waist-to-hip ratios in women, a trait linked to perceived , while structured shoulders in men's emphasize upper-body width associated with . Adornments such as beads, shells, and feathers, evidenced in prehistoric sites dating back over 100,000 years, further customized appearance by adding color, texture, and symbolic elements without permanent bodily alteration. Cultural variations profoundly shape clothing's impact on perceived physical appearance, with practices ranging from minimal coverings in equatorial societies to elaborate layers in temperate zones. In many traditional societies, specific garments denote tribal affiliation or social hierarchy, modifying how body size, skin exposure, and movement are interpreted; for example, loose robes in Middle Eastern cultures obscure to emphasize , while form-revealing attire in Polynesian contexts highlights muscularity and tattoos. Empirical studies demonstrate that clothing choices influence interpersonal judgments: garments are rated higher in attractiveness and sexual receptivity due to color's evolutionary associations with and ripeness. Provocative or revealing clothing increases perceptions of physical appeal but often reduces attributions of or trustworthiness, particularly in professional contexts.
Clothing ElementEffect on AppearanceSupporting Evidence
Color (e.g., )Enhances perceived attractiveness and sexual intentWomen in red shirts rated higher for desirability in controlled experiments.
Fit and Style (e.g., provocative)Accentuates body curves but signals lower competenceTargets in revealing judged more sexually appealing yet less intelligent.
Layering and AccessoriesAlters proportions, adds status cuesTailored layers modify ; jewelry signals resource access evolutionarily.
Adornments like jewelry and headdresses extend clothing's role by framing facial features or elongating the neck, effects documented in ethnographic records where such items correlate with mate selection preferences across cultures. These modifications, while removable, can mimic innate signals of —such as vibrant colors indicating vitality—thus amplifying evolutionary drivers of appearance without genetic change.

Permanent and Semi-Permanent Alterations

Tattoos involve the permanent insertion of pigment into the layer of the skin using needles, creating designs that persist for life unless partially removed via , which often requires multiple sessions and leaves scarring. In the United States, approximately 24% of adults reported having at least one as of surveys conducted around 2006, with prevalence rising to about 32% by 2016 and remaining stable at around 25% in more recent polls. Tattooing has historical roots in cultural rituals for marking identity, status, or rites of passage across societies, from Polynesian tribal practices to European traditions, though modern adoption often stems from personal expression rather than communal signaling. Body piercings create semi-permanent perforations through or , typically adorned with jewelry; while simple piercings may heal and close if jewelry is removed promptly, stretched or multiple piercings often result in lasting holes or tissue deformation. In U.S. national data, 14% of adults had non-earlobe piercings, with higher rates among females and adolescents (27-42% prevalence in the latter group). These modifications trace back to ancient civilizations, including Egyptian and Mayan cultures, where they denoted social hierarchy or fertility symbols, and persist today in subcultures for aesthetic or identity purposes. Scarification and branding entail controlled tissue damage to form raised scars or burns, yielding irreversible textural changes to the skin's surface, practiced historically in African, Indigenous Australian, and Papua New Guinean societies to signify maturity, tribal affiliation, or endurance. These methods alter appearance through and formation, with limited quantitative prevalence data due to their niche status, though they correlate with higher needs for uniqueness in psychological studies of extreme modifiers. Cosmetic surgeries represent structural permanent alterations, such as reshaping nasal or via implants, with global totals reaching 34.9 million aesthetic procedures (surgical and minimally invasive) in 2023, reflecting a 3.4% annual increase driven by demand in regions like the (over 6.2 million procedures), , and . Surgical interventions like or remove or reposition tissue irreversibly, supported by procedural statistics from bodies like the International Society of Aesthetic , though long-term outcomes include risks of complications such as or dissatisfaction necessitating revision. These modifications, while elective, often aim to align appearance with perceived ideals, with evidence indicating rising utilization amid cultural shifts toward individualized .

Technological and Prosthetic Enhancements

Prosthetic devices for human physical appearance primarily restore visual continuity after limb loss, , or congenital defects by mimicking natural anatomy through advanced materials and customization techniques. Upper and lower limb prosthetics often incorporate cosmeses—flexible outer shells hand-painted to replicate tone, veins, freckles, and patterns—enabling users to achieve a near-indistinguishable aesthetic match to contralateral limbs. These coverings, applied as the final layer, prioritize social interface by reducing visibility of the device, with studies indicating improved user confidence from realistic integration. Facial and ocular prosthetics address highly visible areas, using medical-grade silicone for durable, customizable replicas of noses, ears, jaws, or eyes that attach via adhesives or . For instance, ocular prostheses fit into the eye socket and are iris-matched using for photorealistic appearance, while midfacial prostheses cover larger defects from cancer resection or accidents. implants anchor these devices directly to , minimizing movement and enhancing long-term aesthetic stability compared to strap-based alternatives. Technological advances since 2020 emphasize personalization and realism via 3D scanning, printing, and biocompatible composites like carbon fiber overlaid with silicone, reducing weight while preserving form. Myoelectric prosthetics, powered by surface electrodes detecting muscle signals, pair functional control with cosmetic shells, though appearance optimization often involves patient input for color and texture to avoid the uncanny valley effect—where near-human likeness evokes discomfort. Breast prostheses, including external silicone forms post-mastectomy, exemplify non-limb applications, contoured to simulate natural contours under clothing. While primarily restorative, some enhancements extend to elective augmentation; for example, customized prosthetic limbs have been styled for aesthetic appeal in fashion or performance contexts, as seen in model ' use of sculpted legs to embody diverse silhouettes. However, empirical data underscore that prosthetic embodiment—perceptual ownership—correlates more strongly with sensory feedback than pure visuals, influencing design toward integrated haptics alongside . User studies report bionic variants eliciting more positive social perceptions than passive or absent devices, attributing this to enhanced perceived capability reflected in appearance.

Perceptions, Attractiveness, and Social Dynamics

Biological Indicators of Attractiveness

Biological indicators of attractiveness encompass physical traits that reliably signal underlying genetic quality, developmental stability, health status, and reproductive potential, as evidenced by cross-cultural preferences and associations with fitness outcomes. These cues, rooted in evolutionary pressures, include , averageness, , body fat distribution, and adiposity levels, which correlate with in heterosexual contexts. Empirical studies demonstrate that such traits predict perceived attractiveness independently of , though effect sizes can differ by and context. Facial symmetry, reflecting resistance to developmental perturbations like parasites or nutritional stress, positively influences attractiveness ratings in both sexes across cultures, with meta-analyses confirming a modest but consistent effect. However, some reviews indicate symmetry's impact is smaller for female faces and mediated by perceptions of rather than direct appeal. Experimental manipulations increasing enhance ratings, supporting its role as a cue of genetic heterozygosity and . Averageness in facial configuration—closely matching population prototypes—also drives attractiveness, as composite faces blending multiple individuals receive higher ratings than distinctive ones, likely signaling parasite resistance and . Recent analyses affirm as a stronger predictor than for both male and female faces. Sexual dimorphism further modulates appeal: feminine traits (e.g., larger eyes, fuller lips) in women and masculine traits (e.g., prominent jaw) in men elevate ratings, correlating with estrogen and testosterone markers, respectively. In body morphology, the waist-to-hip (WHR) emerges as a key indicator, with women exhibiting a WHR of approximately 0.7 rated most attractive across diverse populations, as it signals optimal fat deposition for childbearing and lower health risks like . This preference holds in evolutionary models, linking low WHR to youthfulness and , though critiques note interactions with absolute waist size. For men, a high shoulder-to-waist approximates attractiveness peaks, indicating muscularity and testosterone exposure. Body mass index (BMI) interacts with these traits, with BMIs around 18-20 kg/m² often deemed optimal for attractiveness, balancing risks with signals of nutritional adequacy and resistance. Lower BMIs correlate with higher external perceptions of appeal in industrialized settings, though extremes (very low or high) reduce ratings due to inferences. These patterns align with reproductive outcomes, where attractive individuals exhibit higher in longitudinal data. quality, including even tone and smoothness, supplements these cues by indicating current , with yellower hues (carotenoid-linked) preferred as vitality markers. Overall, while cultural overlays exist, biological indicators robustly predict mate preferences via honest signaling of fitness.

Cross-Cultural and Historical Standards

Standards of physical attractiveness exhibit both cross-cultural universals and significant variations, with empirical studies indicating broad agreement on certain facial features such as , , and indicators of youth and health, while preferences for , skin tone, and adiposity diverge markedly across societies. For instance, judgments of facial attractiveness show substantial concordance between diverse groups, including White Scottish and Black South African observers, suggesting evolutionary underpinnings tied to cues of genetic quality and developmental stability. These universals persist despite cultural differences, as evidenced by multi-ethnic assessments of female faces from , , , , and , where and consistently predict higher ratings. Body ideals, however, demonstrate pronounced cross-cultural heterogeneity, often reflecting environmental and socioeconomic contexts rather than fixed biological imperatives. In resource-abundant modern Western societies, low (BMI) and slender figures are prized, correlating with perceptions of discipline and status, whereas in subsistence economies like certain Mauritanian or Pacific Island communities, higher adiposity signals wealth, , and survival fitness, with practices such as fattening historically documented to enhance marriage prospects. Waist-to-hip ratio (WHR) preferences hover around 0.7 for women in many studies, indicating a partial universal linked to reproductive , yet deviations occur; for example, some East Asian samples favor lower WHR values emphasizing slimness over curviness. Skin tone preferences also vary, with lighter complexions valued in stratified Asian societies as markers of indoor elite lifestyles, contrasting with tanned ideals in contemporary Mediterranean or Australian contexts denoting leisure and vitality. Historically, European beauty standards shifted in tandem with economic and nutritional changes, transitioning from fuller, voluptuous forms in the —exemplified by Rubens' paintings of women with BMI estimates around 25—to the corseted, hourglass silhouettes of the (circa 1837–1901), where exaggerated waist constriction via garments aimed for WHR below 0.6. By the early , influenced further evolution; analysis of U.S. magazines like Vogue reveals a 60% reduction in bust-to-waist ratios for depicted women between 1901 and 1925, aligning with the ideal of boyish slimness amid rising female workforce participation and dietary shifts. Post-World War II, the pin-up era revived curvaceous proportions (e.g., Marilyn Monroe's measurements approximating 37-23-37 inches), but by the 1960s, models like popularized BMI under 18, reflecting affluence and in consumer culture. Youthfulness remains a constant thread, with empirical reviews confirming its role across epochs as a proxy for reproductive potential, though modifiable via and later interventions. These variations underscore that while biological signals like provide a baseline for mate assessment—evident in —cultural overlays amplify or suppress them based on local resource availability and social signaling, challenging purely relativistic views by highlighting adaptive consistencies amid flux. Empirical evidence from global surveys, including over 93 countries, further reveals a " premium" in labor and markets that operates universally but with cultural modulation, where enhanced physical traits yield measurable advantages in perceived competence and desirability.

Mate Selection and Evolutionary Psychology

Evolutionary psychology posits that human preferences for certain physical traits in potential mates evolved as mechanisms to select partners signaling high reproductive fitness, health, and genetic quality, shaped by ancestral selection pressures where influenced offspring survival. These preferences exhibit sex differences rooted in asymmetric : males, facing lower obligatory costs in , prioritize cues of female and youth, while females emphasize male traits indicating resource provision and protection. Empirical support derives from surveys and experimental manipulations demonstrating consistency beyond modern cultural influences. In David Buss's 1989 study of 10,047 participants across 37 cultures, men rated as significantly more important in mates than women did, with a mean ranking 2.5 places higher for men globally; this pattern held in all societies, including matrilineal and egalitarian ones, suggesting an innate basis over socialization. Specific traits preferred by men include low waist-to-hip ratio (WHR) around 0.7, which correlates with levels, reproductive , and lower risk of major diseases like and cardiovascular conditions, independent of overall body weight. Devendra Singh's experiments using line drawings and photographs confirmed this across ethnic groups, including U.S. Caucasians, African-Americans, and non-Western samples, where 0.7 WHR figures were rated healthiest and most attractive for long-term partnership. , reflecting developmental stability against stressors like parasites or poor nutrition, also predicts male ratings of attractiveness, with symmetric faces judged healthier and more fertile in studies controlling for . Women, conversely, place greater emphasis on male physical traits signaling competitive ability and status, such as , shoulder-to-waist , and muscularity, which proxy for testosterone-driven strength and resource-acquisition potential. Buss's data showed women universally preferring taller men, with preferences scaling to but maintaining a directional bias toward above-average stature, consistent across cultures from to . While women value male less than men value it in women—ranking it below ambition and financial prospects—symmetric male faces and masculine features (e.g., prominent jawlines) are favored for short-term , indicating genetic benefits, though less so for long-term bonds where cues of and reliability dominate. A 2020 replication across 45 countries reaffirmed these sex differences, with men prioritizing attractiveness ( d=0.65) and women resources (d=0.50), unaffected by indices. These patterns align with sexual selection theory, where male choosiness over fertility cues and female choosiness over provisioning evolved due to differing reproductive variances—male reproductive success more variable via multiple matings, female via gestation costs. analogs and comparisons bolster this, as symmetric, youthful traits predict mating success in non-human species. Cultural overlays exist—e.g., fads emphasizing thinness—but universals like WHR preferences persist, challenging purely constructivist views and highlighting evolved modules for appearance assessment. Despite academic skepticism often rooted in ideological aversion to , the replicability across diverse methodologies and populations supports causal realism in these preferences.

Health, Psychological, and Societal Implications

Functional and Health Correlations

Body mass index (BMI), a visible proxy for overall adiposity derived from and , exhibits a J-shaped relationship with all-cause mortality, wherein (BMI <18.5) and obese (BMI ≥30) categories correlate with elevated risks, while moderate overweight (BMI 25-30) shows neutral or protective effects in some analyses. Higher BMI values are consistently linked to increased incidence of cardiovascular disease, type 2 diabetes, and certain cancers, with meta-analyses reporting hazard ratios for obesity exceeding 1.5 for these outcomes. Waist-to-hip ratio (WHR), reflecting central fat distribution observable in body shape, outperforms BMI in predicting myocardial and cardiovascular mortality, with elevated WHR (>0.9 in men, >0.85 in women) associated with odds ratios up to 1.98 for infarction risk. Skeletal muscle mass, apparent in muscularity and , positively correlates with physical function and independence in older adults; (age-related muscle loss) doubles the risk of functional decline and mortality, independent of fat mass. Longitudinal studies indicate that higher appendicular muscle mass in the elderly predicts better mobility and lower all-cause mortality rates, with hazard ratios as low as 0.5 for those in the highest tertiles versus lowest. Height shows inconsistent correlations with across populations; some cohort studies report inverse associations, with taller stature linked to 2-3 years shorter lifespan due to elevated cancer risks, while others find positive ties to cardiovascular health and overall survival, potentially mediated by early-life . In professional cohorts like athletes, taller individuals exhibit earlier mortality, supporting a modest negative height- . Facial symmetry, a marker of developmental stability, weakly correlates with genetic health indicators but lacks robust ties to measured clinical outcomes like infection resistance or IQ, though it may signal resistance to early-life stressors. Skin conditions altering appearance, such as or , often reflect underlying ; , for instance, elevates cardiovascular and metabolic risks by 20-50%, independent of traditional factors. These visible traits thus serve as crude but empirical proxies for underlying physiological function and susceptibility.

Mental Health and Body Image Effects

Body dissatisfaction, defined as negative subjective evaluations of one's physical appearance, exhibits moderate positive correlations with symptoms of depression and anxiety across diverse populations, as evidenced by systematic reviews and meta-analyses of clinical and non-clinical samples. These associations persist even after controlling for factors like (BMI), with effect sizes indicating that individuals experiencing higher body dissatisfaction report elevated risks of psychological distress, including self-injurious thoughts and behaviors. Conversely, body appreciation—positive embodiment and acceptance of one's form—predicts fewer symptoms and improved overall outcomes, underscoring a protective role for realistic self-perception against . Perceived strongly influences and emotional , with individuals rating themselves as less attractive showing heightened vulnerability to depressive episodes and anxiety disorders. Objective ratings of attractiveness by independent observers similarly correlate with better ; for instance, studies find that those deemed more attractive experience lower rates of depression compared to less attractive peers, potentially due to reduced and enhanced interpersonal feedback loops. This link is bidirectional: depression impairs body satisfaction and perceived attractiveness, creating a feedback cycle where negative mood distorts self-appraisal, as observed in longitudinal data from non-depressed versus depressed cohorts. Exposure to idealized media portrayals exacerbates disturbances, particularly through platforms that amplify thin-ideal or muscular standards, leading to increased behaviors and internalization of unattainable norms among adolescents and young adults. Meta-analytic confirms that frequent engagement with appearance-focused content heightens fears of negative evaluation and reduces body appreciation, with stronger effects in women and emerging adults. In obese populations, where body dissatisfaction is prevalent, these perceptions compound burdens, associating with higher depression prevalence, low , and maladaptive coping like , independent of physiological comorbidities. Societal emphasis on leanness or as attractiveness markers can perpetuate these effects, yet empirical data reveal that interventions promoting accurate body perception—rather than unqualified positivity—yield more sustained benefits by aligning self-view with functional realities like mobility and . For example, weight bias internalization in overweight individuals correlates with amplified anxiety and depressive symptoms over time, highlighting how miscalibrated disrupts causal pathways to . These patterns hold across cultures but intensify in environments with high media saturation, where empirical discrepancies between promoted ideals and average human variation fuel chronic dissatisfaction.

Economic and Social Outcomes

Physical attractiveness correlates positively with labor market outcomes, including higher wages and employment probabilities. A of experimental studies found that attractive individuals receive more favorable evaluations in hiring, performance appraisals, and promotions, with effect sizes indicating a consistent "beauty premium" across job-related decisions. Similarly, a 2024 confirmed a robust association between and professional success, though part of the premium may stem from confounding factors like or rather than pure discrimination. Physical attractiveness also predicts intergenerational , independently influencing educational attainment, occupational status, and income levels. Height exhibits a pronounced earnings premium, particularly for men. Each additional inch of is associated with a 1.5% to 1.8% increase in wages for both sexes, based on analyses of large-scale . A systematic review estimated that 10 cm greater height yields an annual earnings boost of $1,874 to $2,306 for men and $891 to $2,243 for women, with effects persisting across life-cycle stages. These patterns hold in diverse economies, though the premium may partly reflect perceptions or correlations rather than height alone causing differences. Obesity imposes penalties, disproportionately affecting women. Obese women face a 9% gap relative to normal-weight peers, amplified in client-facing roles due to perceived unprofessionalism or lower . women experience a 4.6% penalty compared to healthy-weight counterparts, while men may see neutral or slight premiums from added body mass, suggesting gendered stereotypes in evaluation. Such penalties contribute to lower rates for obese individuals overall, with evidence linking them to both direct and indirect health-related . Socially, physical appearance shapes status attainment and interpersonal dynamics through lookism, or discrimination based on attractiveness. Attractive individuals often secure higher social positions, including roles and broader networks, as appearance biases lead to assumptions of competence and trustworthiness. Unattractive or non-conforming appearances, such as or visible differences, result in exclusion, ridicule, or overlooked opportunities, with 36% of affected individuals reporting discrimination in social settings. These effects exacerbate inequality, as appearance influences access to elite social circles and mating markets, perpetuating cycles of disadvantage independent of merit. Empirical data underscore that such biases operate subtly, with less attractive people facing systemic barriers in status mobility akin to other forms of .

Controversies and Empirical Debates

Innate vs. Cultural Influences on Beauty

Empirical research in identifies several universal features of that transcend cultural boundaries, suggesting innate biological underpinnings. , which reflects developmental stability and resistance to environmental stressors such as parasites or poor nutrition, is consistently rated higher across diverse populations, including studies involving Western, African, and Asian participants. Similarly, facial —proximity to the population mean composite face—enhances perceived attractiveness by signaling genetic and heterozygosity, with independent manipulations of averageness and symmetry both yielding positive effects in controlled experiments. For , a waist-to-hip (WHR) of approximately 0.7 is preferred by raters in multiple contexts, including Britain, , and various ethnic groups, as it correlates with indicators of and like levels and lower disease risk. These preferences align with evolutionary theories positing that attractiveness cues evolved to facilitate mate selection for reproductive fitness, observable even in isolated or pre-contact societies. Cultural factors, however, introduce variations that modulate these innate preferences, often in response to ecological and socioeconomic conditions. Preferences for diverge significantly: in resource-scarce environments like parts of or historical during famines, higher body fat is favored as a signal of resource access and survival capacity, contrasting with leaner ideals in affluent, food-abundant modern Western societies. Skin tone and hair texture also exhibit cultural specificity; for instance, lighter skin may be prized in some Asian and Latin American contexts due to associations with rather than , while scarification or elongated features (e.g., neck rings in certain tribes) serve as culturally imposed markers of absent in innate universals. reveal moderate agreement in facial attractiveness ratings—higher within ethnic groups but still present across them—indicating that while culture shapes thresholds, underlying biological signals like persist. The interplay between innate and cultural influences is evident in longitudinal shifts: during the in the United States, ideal female BMI declined from about 24 in the to 18 by the 1990s, reflecting cultural emphasis on thinness amid rising prosperity, yet core ratios like WHR remained stable at around 0.7 across these eras. Experimental evidence supports innateness by demonstrating that preferences for and emerge in infants as young as newborns, prior to cultural , and are corroborated by showing consistent neural activation patterns for attractive faces across cultures. Critics arguing for predominantly cultural often overlook this developmental and neurobiological data, which prioritizes causal mechanisms rooted in over learned norms; nonetheless, cultural transmission can amplify or suppress innate cues, as seen in media-driven standards that vary by exposure. Overall, while cultural overlays exist, empirical convergence on health-signaling traits substantiates a foundational innate component to .

Critiques of Modern Body Positivity Narratives

Critics contend that modern body positivity narratives, which emphasize unconditional self-acceptance of all body sizes, overlook empirical evidence linking excess adiposity to adverse health outcomes, potentially fostering complacency toward modifiable risk factors. , defined by BMI ≥30 kg/m², affects 42.4% of U.S. adults as of 2017–2018 data and correlates with elevated risks of , , , and certain cancers, contributing to approximately 4 million global deaths in 2015 alone. These associations stem from causal mechanisms such as visceral fat accumulation promoting and inflammation, with longitudinal studies indicating that even "metabolically healthy" obesity often progresses to metabolic dysfunction over time. Related paradigms like Health at Every Size (HAES), which underpin many body positivity messages by prioritizing intuitive eating and joyful movement over weight reduction, face scrutiny for insufficient empirical support in mitigating obesity-related morbidity. Proponents claim HAES reduces stigma and improves well-being irrespective of body size, yet reviews highlight a lack of randomized controlled trials demonstrating sustained health benefits without weight loss, with observational data suggesting higher BMI independently predicts mortality even absent other comorbidities. Critics, including public health policy analysts, argue that endorsing size acceptance indefinitely delays interventions, as evidenced by stalled declines in cardiovascular risk factors amid rising obesity prevalence, potentially reversing prior gains from weight management efforts. Psychologically, body positivity's insistence on mandatory affirmation has been labeled "toxic positivity," where mandates to "love your body unconditionally" fail to enhance and may exacerbate distress by invalidating legitimate concerns over functionality or . Experimental exposure to such messaging yields no greater reductions in body dissatisfaction than neutral or appearance-focused content, with some studies showing heightened anxiety from reinforced emphasis on physical form. This approach risks promoting denial of biological imperatives, such as evolutionary preferences for health indicators in mate selection, which empirical cross-cultural data affirm as rooted in and cues rather than arbitrary cultural constructs. Furthermore, the movement's mainstream evolution has drawn accusations of and dilution, shifting from resistance to anti-fat —originally tied to fat acceptance —toward marketable individualism that sidesteps systemic drivers like poor diet and sedentary lifestyles. Corporate adoption, evident in campaigns, often features predominantly lean or "curvy but fit" archetypes, underrepresenting severe while profiting from wellness products, thus perpetuating selective ideals under a veneer of inclusivity. Such critiques underscore a tension between anti-stigma goals and causal realism, where privileging subjective acceptance over verifiable physiological data may impede strategies.

Debates on Variability and Discrimination

Human physical appearance exhibits significant biological variability, influenced by genetic, environmental, and evolutionary factors, with debates centering on the extent and implications of sex-based and population-level differences. Males display greater variability in traits such as , body mass, and facial morphology compared to females, a pattern supported by the , which posits broader distributions in male phenotypes due to pressures. Sex differences are pronounced in , with males typically having higher muscle mass and lower fat percentages, while females show greater variability in hip-to-waist ratios linked to reproductive fitness; these dimorphisms arise from hormonal influences like testosterone and , as documented in anthropometric studies across populations. Population-level variations, often aligned with ancestral geographic adaptations, include differences in skin pigmentation, cranial shape, and limb proportions, which contemporary genetic analyses attribute to divergences rather than clinal gradients alone, challenging narratives of uniformity in traits. These variabilities fuel debates on , termed "lookism," where physical appearance influences social and economic outcomes, with indicating systematic es favoring conventionally attractive individuals. Meta-analyses of labor market studies reveal a "beauty premium," whereby attractive workers earn 10-15% more than average counterparts, persisting across occupations and controlling for and experience, as quantified in longitudinal datasets from the U.S. and . In hiring, experimental designs using matched resumes with altered photos demonstrate that less attractive candidates receive 20-30% fewer callbacks, a attributed to halo effects where appearance proxies for competence or , though critics argue this conflates with causation absent direct productivity links. extends to judicial and interpersonal domains, with unattractive defendants facing harsher sentences and lower social cooperation in game-theoretic experiments, patterns replicated in cross-national samples. Controversies arise over whether such discrimination reflects rational signaling—appearance as an honest indicator of genetic quality, immune function, or developmental stability—or irrational prejudice warranting intervention. Proponents of minimal intervention cite evolutionary psychology evidence that preferences for symmetric, averageness features correlate with health markers like low fluctuating asymmetry, suggesting biases evolved for adaptive mate and ally selection rather than malice. Conversely, policy-oriented scholars, often from sociology, advocate anti-lookism measures, yet empirical reviews highlight limited efficacy of diversity training in mitigating appearance biases, which resist socialization unlike explicit prejudices. Group differences complicate these debates; for instance, attractiveness returns vary by race and sex, with Black females experiencing diminished premiums relative to White counterparts in wage regressions, potentially exacerbating inequities when variability is acknowledged but unequally penalized. Truth-seeking analyses prioritize these empirical disparities over egalitarian ideals, noting that suppressing discussion of trait distributions—due to fears of reinforcing stereotypes—obscures causal mechanisms like assortative mating and heritability estimates for attractiveness around 0.4-0.6 from twin studies.

References

  1. https://learn.genetics.utah.edu/content/basics/observable/
  2. https://pmc.ncbi.nlm.nih.gov/articles/PMC6198798/
  3. https://humanorigins.si.edu/human-characteristics/bodies
  4. https://news.berkeley.edu/2014/09/16/human-faces-are-so-variable-because-we-evolved-to-look-unique/
  5. https://pmc.ncbi.nlm.nih.gov/articles/PMC9106334/
  6. https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.859931/full
  7. https://ourworldindata.org/human-height
  8. https://humanorigins.si.edu/evidence/genetics/human-skin-color-variation
  9. https://pmc.ncbi.nlm.nih.gov/articles/PMC212702/
  10. https://www.news-medical.net/news/20230811/Study-identifies-135-genes-associated-with-human-skin-color.aspx
  11. https://news.stanford.edu/stories/2021/04/model-reveals-surprising-disconnect-physical-characteristics-genetic-ancestry-certain-populations
  12. https://humanorigins.si.edu/human-characteristics/walking-upright
  13. https://humanorigins.si.edu/evidence/human-fossils/species/homo-erectus
  14. https://www.nature.com/scitable/knowledge/library/homo-erectus-a-bigger-smarter-97879043/
  15. https://www.smithsonianmag.com/science-nature/essential-timeline-understanding-evolution-homo-sapiens-180976807/
  16. https://pmc.ncbi.nlm.nih.gov/articles/PMC5869357/
  17. https://www.pnas.org/doi/10.1073/pnas.0914628107
  18. https://pmc.ncbi.nlm.nih.gov/articles/PMC8359960/
  19. https://onlinelibrary.wiley.com/doi/full/10.1002/ajpa.24564
  20. https://www.nature.com/articles/s41576-022-00568-4
  21. https://medicover-genetics.com/the-genetics-of-height/
  22. https://penntoday.upenn.edu/news/penn-led-study-identifies-genes-responsible-diversity-human-skin-colors
  23. https://www.annualreviews.org/doi/10.1146/annurev-genom-120121-102607
  24. https://pmc.ncbi.nlm.nih.gov/articles/PMC33730/
  25. https://pmc.ncbi.nlm.nih.gov/articles/PMC2899491/
  26. https://pmc.ncbi.nlm.nih.gov/articles/PMC3212575/
  27. https://www.nature.com/articles/s41467-018-04191-y
  28. https://royalsocietypublishing.org/doi/10.1098/rspb.2017.1320
  29. https://pubmed.ncbi.nlm.nih.gov/17684556/
  30. https://royalsocietypublishing.org/doi/10.1098/rstb.2016.0349
  31. https://hereditasjournal.biomedcentral.com/articles/10.1186/s41065-017-0036-2
  32. https://pmc.ncbi.nlm.nih.gov/articles/PMC5004836/
  33. https://royalsocietypublishing.org/doi/abs/10.1098/rsbl.2012.0590
  34. https://pure.rug.nl/ws/files/62197734/Stulp_et_al_2014_Biological_Reviews.pdf
  35. https://www.nature.com/articles/s41598-021-85402-3
  36. https://www.sciencedirect.com/science/article/abs/pii/S109051382100060X
  37. https://stearnslab.yale.edu/sites/default/files/nat_rev_gen_2010_stearnsetal.pdf
  38. https://elifesciences.org/articles/65031
  39. https://www.pnas.org/doi/10.1073/pnas.1806013115
  40. https://pmc.ncbi.nlm.nih.gov/articles/PMC170877/
  41. https://joe.bioscientifica.com/view/journals/joe/207/2/127.xml
  42. https://pmc.ncbi.nlm.nih.gov/articles/PMC9156798/
  43. https://pmc.ncbi.nlm.nih.gov/articles/PMC8628437/
  44. https://www.endocrine.org/journals/journal-of-the-endocrine-society/sexual-dimorphism-in-the-musculoskeletal-system
  45. https://www.sciencedirect.com/science/article/abs/pii/S0379073817302190
  46. https://www.sciencedirect.com/science/article/abs/pii/S1521690X07000371
  47. https://bsd.biomedcentral.com/articles/10.1186/s13293-018-0189-3
  48. https://bmjopensem.bmj.com/content/9/3/e001672
  49. https://www.mdpi.com/2075-4418/14/20/2260
  50. https://pmc.ncbi.nlm.nih.gov/articles/PMC8715524/
  51. https://academic.oup.com/hmg/article/16/R2/R134/2357350
  52. https://pmc.ncbi.nlm.nih.gov/articles/PMC5502412/
  53. https://pmc.ncbi.nlm.nih.gov/articles/PMC3977302/
  54. https://pubmed.ncbi.nlm.nih.gov/26270337/
  55. https://www.biorxiv.org/content/10.1101/167551v4.full-text
  56. https://pmc.ncbi.nlm.nih.gov/articles/PMC3491390/
  57. https://www.science.org/content/article/landmark-study-resolves-major-mystery-how-genes-govern-human-height
  58. https://pmc.ncbi.nlm.nih.gov/articles/PMC4346225/
  59. https://www.nature.com/articles/s41366-024-01684-3
  60. https://www.sciencedirect.com/science/article/pii/S0047248485800944
  61. https://medlineplus.gov/genetics/understanding/traits/eyecolor/
  62. https://www.nature.com/articles/s41598-021-01940-w
  63. https://www.nature.com/articles/s41467-018-07691-z
  64. https://pmc.ncbi.nlm.nih.gov/articles/PMC4584317/
  65. https://medlineplus.gov/genetics/understanding/traits/hairtexture/
  66. https://www.nature.com/articles/s41467-025-61761-7
  67. https://elifesciences.org/articles/49898
  68. https://www.nature.com/articles/ng.3285
  69. https://pubmed.ncbi.nlm.nih.gov/23997369/
  70. https://aasm.org/study-reveals-the-face-of-sleep-deprivation/
  71. https://www.scirp.org/journal/paperinformation?paperid=74581
  72. https://www.sciencedirect.com/science/article/pii/S1389945721005761
  73. https://pmc.ncbi.nlm.nih.gov/articles/PMC4529263/
  74. https://pubmed.ncbi.nlm.nih.gov/20923460/
  75. https://www.webmd.com/beauty/features/drink-water-skin
  76. https://bmcwomenshealth.biomedcentral.com/articles/10.1186/s12905-023-02395-z
  77. https://www.cureus.com/articles/314989-physiological-changes-in-womens-skin-during-the-menstrual-cycle-a-scoping-review
  78. https://royalsocietypublishing.org/doi/10.1098/rspb.2019.2910
  79. https://pubmed.ncbi.nlm.nih.gov/7833960/
  80. https://tidesmentalhealth.com/can-stress-cause-physical-changes-in-appearance/
  81. https://www.health.harvard.edu/blog/want-look-better-mirror-tomorrow-exercise-today-2017072812096
  82. https://my.clevelandclinic.org/health/body/puberty
  83. https://www.healthychildren.org/English/ages-stages/gradeschool/puberty/Pages/Physical-Development-of-School-Age-Children.aspx
  84. https://raisingchildren.net.au/pre-teens/development/puberty-sexual-development/physical-changes-in-puberty
  85. https://www.merckmanuals.com/home/older-people-s-health-issues/the-aging-body/changes-in-the-body-with-aging
  86. https://www.health.harvard.edu/staying-healthy/why-your-face-ages-and-what-you-can-do
  87. https://pmc.ncbi.nlm.nih.gov/articles/PMC8438644/
  88. https://pmc.ncbi.nlm.nih.gov/articles/PMC3840548/
  89. https://www.acorn.me/post/comprehensive-list-of-the-effects-of-aging
  90. https://onlinelibrary.wiley.com/doi/10.1111/ics.13003
  91. https://medlineplus.gov/ency/article/004014.htm
  92. https://www.mayoclinic.org/healthy-lifestyle/healthy-aging/in-depth/aging/art-20046070
  93. https://archive.news.ufl.edu/articles/2011/01/uf-study-of-lice-dna-shows-humans-first-wore-clothes-170000-years-ago.html
  94. https://www.smithsonianmag.com/science-nature/evidence-of-fur-and-leather-clothing-among-worlds-oldest-found-in-moroccan-cave-180978689/
  95. https://pmc.ncbi.nlm.nih.gov/articles/PMC11212769/
  96. https://scitechdaily.com/the-dawn-of-fashion-how-eyed-needles-tailored-the-evolution-of-dress/
  97. https://www.textileschool.com/10111/origin-of-clothing-tracing-humanitys-textile-journey-from-prehistory-to-modernity/
  98. https://www.sydney.edu.au/news-opinion/news/2024/06/29/the-beginnings-of-fashion.html
  99. https://pmc.ncbi.nlm.nih.gov/articles/PMC10630698/
  100. https://pmc.ncbi.nlm.nih.gov/articles/PMC10559650/
  101. https://scholarworks.arcadia.edu/cgi/viewcontent.cgi?article=1053&context=undergrad_works
  102. https://www.iiad.edu.in/the-circle/fashion-and-identity-an-exploration-of-clothings-role-in-shaping-personal-and-cultural-identities/
  103. https://pubmed.ncbi.nlm.nih.gov/16908345/
  104. https://dimensionsofdentalhygiene.com/article/extreme-body-modifications/
  105. https://www.aarp.org/pri/topics/social-leisure/body-modifications-tattoos/
  106. https://etd.ohiolink.edu/acprod/odb_etd/ws/send_file/send?accession=osu1181666499&disposition=inline
  107. https://www.researchgate.net/publication/387033038_Tattoos_and_Body_Modification_Culture_Therapy_and_HistoryTatuajes_y_Modificacion_Corporal_Cultura_Terapia_e_HistoriaTatuagens_e_Modificacoes_Corporais_Cultura_Terapia_e_Historia
  108. https://www.hopkinsmedicine.org/health/wellness-and-prevention/adolescent-tattoos-body-piercings-and-body-modifications
  109. https://academic.oup.com/edited-volume/54436/chapter-abstract/454463342?redirectedFrom=fulltext
  110. https://pmc.ncbi.nlm.nih.gov/articles/PMC7928480/
  111. https://www.isaps.org/discover/about-isaps/global-statistics/global-survey-2023-full-report-and-press-releases/
  112. https://www.thesupportivecare.com/blog/plastic-surgery-statistics-facts
  113. https://pubmed.ncbi.nlm.nih.gov/39103642/
  114. https://www.isaps.org/media/rxnfqibn/isaps-global-survey_2023.pdf
  115. https://www.armdynamics.com/research-and-technology/prosthetic-technology
  116. https://www.jhuapl.edu/Content/techdigest/pdf/V30-N03/30-3-Biermann.pdf
  117. https://www.hortonsoandp.com/can-custom-prosthetics-for-arms-change-daily-routines/
  118. https://pmc.ncbi.nlm.nih.gov/articles/PMC7145402/
  119. https://magazine.medlineplus.gov/article/prosthetics-through-the-ages
  120. https://pmc.ncbi.nlm.nih.gov/articles/PMC7340716/
  121. https://bmcmusculoskeletdisord.biomedcentral.com/articles/10.1186/s12891-024-07246-y
  122. https://brunswickoandp.net/advancements-in-prosthetic-technology-2025/
  123. https://www.ijdesign.org/index.php/IJDesign/article/view/1450./661
  124. https://www.medicare.gov/coverage/prosthetic-devices
  125. http://dspace.mit.edu/bitstream/handle/1721.1/81617/859144464-MIT.pdf%3Bsequence=2
  126. https://www.ucdavis.edu/health/news/making-prosthetics-more-life-like
  127. https://www.sciencedirect.com/science/article/pii/S0001691823002615
  128. https://pmc.ncbi.nlm.nih.gov/articles/PMC3130383/
  129. https://pubmed.ncbi.nlm.nih.gov/16318594/
  130. https://onlinelibrary.wiley.com/doi/10.1111/brv.13131
  131. https://www.sciencedirect.com/science/article/pii/S0001691821000615
  132. https://link.springer.com/article/10.3758/BF03208842
  133. https://www.nature.com/articles/s41598-025-86974-0
  134. https://www.psychologytoday.com/us/blog/modern-minds/202406/4-bio-markers-of-beauty-with-deep-evolutionary-roots
  135. https://www.sciencedirect.com/science/article/pii/019188699500093L
  136. https://pmc.ncbi.nlm.nih.gov/articles/PMC4050298/
  137. https://journals.sagepub.com/doi/10.1111/1467-9280.00029
  138. https://www.sciencedirect.com/science/article/abs/pii/S0191886925002028
  139. https://academic.oup.com/beheco/article/24/4/914/219755
  140. https://pmc.ncbi.nlm.nih.gov/articles/PMC3245633/
  141. https://pmc.ncbi.nlm.nih.gov/articles/PMC3000557/
  142. https://www.nature.com/articles/s41598-024-74265-z
  143. https://pmc.ncbi.nlm.nih.gov/articles/PMC4079334/
  144. https://pmc.ncbi.nlm.nih.gov/articles/PMC7822532/
  145. https://pmc.ncbi.nlm.nih.gov/articles/PMC12095813/
  146. https://love-diversity.org/what-is-attractive-in-physical-appearance-of-men-and-women-in-other-cultures/
  147. https://www.sciencedirect.com/science/article/abs/pii/S0738081X23000251
  148. https://www.cnn.com/2018/03/07/health/body-image-history-of-beauty-explainer-intl
  149. https://journalofethics.ama-assn.org/article/what-historical-ideals-womens-shapes-teach-us-about-womens-self-perception-and-body-decisions-today/2019-10
  150. https://pmc.ncbi.nlm.nih.gov/articles/PMC10426932/
  151. https://www.nature.com/articles/s41598-024-56607-z
  152. https://labs.la.utexas.edu/buss/files/2015/10/buss-1989-sex-differences-in-human-mate-preferences.pdf
  153. https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/sex-differences-in-human-mate-preferences-evolutionary-hypotheses-tested-in-37-cultures/0E112ACEB2E7BC877805E3AC11ABC889
  154. https://pubmed.ncbi.nlm.nih.gov/8366421/
  155. https://psycnet.apa.org/record/1993-45219-001
  156. https://labs.la.utexas.edu/buss/files/2019/03/mate-preferences-and-their-behavioral-manifestations-FINAL-PUBLISHED-2019.pdf
  157. https://journals.sagepub.com/doi/10.1177/0022022190211001
  158. https://pubmed.ncbi.nlm.nih.gov/32196435/
  159. https://www.sciencedirect.com/science/article/pii/0162309595000682
  160. https://www.sciencedirect.com/science/article/abs/pii/S1090513809000889
  161. https://pmc.ncbi.nlm.nih.gov/articles/PMC8250762/
  162. https://pmc.ncbi.nlm.nih.gov/articles/PMC6249991/
  163. https://pmc.ncbi.nlm.nih.gov/articles/PMC7397555/
  164. https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2024.1438817/full
  165. https://www.nature.com/articles/s43856-023-00353-2
  166. https://pmc.ncbi.nlm.nih.gov/articles/PMC5377449/
  167. https://link.springer.com/article/10.1007/s41999-025-01230-y
  168. https://bmcgeriatr.biomedcentral.com/articles/10.1186/s12877-022-03292-0
  169. https://pmc.ncbi.nlm.nih.gov/articles/PMC10683395/
  170. https://pmc.ncbi.nlm.nih.gov/articles/PMC1071721/
  171. https://journals.viamedica.pl/folia_morphologica/article/view/93647
  172. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0185617
  173. https://pmc.ncbi.nlm.nih.gov/articles/PMC4150332/
  174. https://academic.oup.com/beheco/article/15/5/864/318486
  175. https://www.sciencedirect.com/science/article/pii/S0889159123003768
  176. https://jamanetwork.com/journals/jamadermatology/fullarticle/712158
  177. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0229268
  178. https://pubmed.ncbi.nlm.nih.gov/38850716/
  179. https://www.tandfonline.com/doi/abs/10.1080/17437199.2024.2310140
  180. https://www.sciencedirect.com/science/article/abs/pii/S1740144523000128
  181. https://pmc.ncbi.nlm.nih.gov/articles/PMC4640994/
  182. https://www.sciencedirect.com/science/article/abs/pii/S016503271530416X
  183. https://psycnet.apa.org/record/1985-20322-001
  184. https://pmc.ncbi.nlm.nih.gov/articles/PMC11103119/
  185. https://www.sciencedirect.com/science/article/abs/pii/S1471015323000223
  186. https://pmc.ncbi.nlm.nih.gov/articles/PMC10032524/
  187. https://pmc.ncbi.nlm.nih.gov/articles/PMC5644896/
  188. https://www.ncbi.nlm.nih.gov/books/NBK603747/
  189. https://royalsocietypublishing.org/doi/10.1098/rstb.2022.0225
  190. https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2024.1474844/full
  191. https://www.medicalnewstoday.com/articles/beauty-standards-and-mental-health
  192. https://www.researchgate.net/publication/229517285_The_effects_of_physical_attractiveness_on_job-related_outcomes_A_meta-analysis_of_experimental_studies
  193. https://www.econstor.eu/bitstream/10419/289435/1/Bortnikova-Beauty-and-professional-success.pdf
  194. https://onlinelibrary.wiley.com/doi/10.1111/ssqu.13320
  195. https://www.princeton.edu/~accase/downloads/w14007_Case_Paxson_Islam.pdf
  196. https://www.sciencedirect.com/science/article/pii/S1570677X23000540
  197. https://www.sole-jole.org/assets/docs/15190.pdf
  198. https://cepr.org/voxeu/columns/weight-discrimination-how-obesity-affects-wages-and-why-it-matters
  199. https://www.employment-studies.co.uk/news/weigh-more-and-get-paid-less-why-obesity-wage-penalty-women-matters
  200. https://pmc.ncbi.nlm.nih.gov/articles/PMC7578971/
  201. https://wol.iza.org/articles/obesity-and-labor-market-outcomes/long
  202. https://www.unr.edu/nevada-today/news/2019/atp-appearance-success
  203. https://www.changingfaces.org.uk/about-visible-difference/ending-appearance-related-discrimination/
  204. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5035608
  205. https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1204&context=honors
  206. https://www.sciencedirect.com/science/article/abs/pii/S0191886901000733
  207. https://www.sciencedirect.com/science/article/abs/pii/S1740144505000240
  208. https://www.researchgate.net/publication/263710528_Cross-Cultural_Agreement_in_Facial_Attractiveness_Preferences_The_Role_of_Ethnicity_and_Gender
  209. https://www.mdpi.com/2073-8994/11/2/279
  210. https://pubmed.ncbi.nlm.nih.gov/21830463/
  211. https://www.cdc.gov/nchs/data/databriefs/db360_tables-508.pdf#1
  212. https://www.who.int/en/news-room/fact-sheets/detail/obesity-and-overweight
  213. https://www.intechopen.com/chapters/73236
  214. https://www.ncbi.nlm.nih.gov/books/NBK279167/
  215. https://pmc.ncbi.nlm.nih.gov/articles/PMC4386524/
  216. https://ajph.aphapublications.org/doi/full/10.2105/AJPH.2013.301486
  217. https://jeatdisord.biomedcentral.com/articles/10.1186/2050-2974-2-8
  218. https://www.sciencedirect.com/science/article/pii/S1740144522000560
  219. https://psycnet.apa.org/record/2012-04177-003
  220. https://theconversation.com/why-the-body-positivity-movement-risks-turning-toxic-189913
  221. https://pmc.ncbi.nlm.nih.gov/articles/PMC9589104/
  222. https://www.ncbi.nlm.nih.gov/books/NBK235951/
  223. https://pmc.ncbi.nlm.nih.gov/articles/PMC4563709/
  224. https://pmc.ncbi.nlm.nih.gov/articles/PMC5558203/
  225. https://www.tandfonline.com/doi/full/10.1080/02691728.2022.2076629
  226. https://www.sciencedirect.com/science/article/pii/S004724841400178X
  227. https://pmc.ncbi.nlm.nih.gov/articles/PMC11504073/
  228. https://scholar.harvard.edu/files/monk/files/monk_-_beholding_inequality_-_ajs.pdf
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