Sonja Windhager

Dr. Sonja Windhager

University of Vienna
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 September 2011 in American Journal of Human Biology
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Journal Article
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SWSonja Windhager
Sonja Windhager
KSKatrin Schaefer
Katrin Schaefer
BFBernhard Fink
Bernhard Fink

28 June 2013
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PMPhilipp Mitteroecker
Philipp Mitteroecker
PGPhilipp Gunz
Philipp Gunz
SWSonja Windhager
Sonja Windhager
KSKatrin Schaefer
Katrin Schaefer

12 June 2019 in American Journal of Physical Anthropology
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Journal Article
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SWSonja Windhager
Sonja Windhager
PMPhilipp Mitteroecker
Philipp Mitteroecker
IRIvana Rupić
Ivana Rupić
TLTomislav Lauc
Tomislav Lauc
OPOzren Polašek
Ozren Polašek
KSKatrin Schaefer
Katrin Schaefer
Objectives: Despite variation in lifestyle and environment, first signs of human facial aging show between the ages of 20–30 years. It is a cumulative process of changes in the skin, soft tissue, and skeleton of the face. As quantifications of facial aging in living humans are still scarce, we set out to study age‐related changes in three‐dimensional facial shape using geometric morphometrics.Materials and methods: We collected surface scans of 88 human faces (aged 26–90 years) from the coastal town Split (Croatia) and neighboring islands. Based on a geometric morphometric analysis of 585 measurement points (landmarks and semilandmarks), we modeled sex‐specific trajectories of average facial aging.Results: Age‐related facial shape change was similar in both sexes until around age 50, at which time the female aging trajectory turned sharply. The overall magnitude of facial shape change (aging rate) was higher in women than men, especially in early postmenopause. Aging was generally associated with a flatter face, sagged soft tissue (“broken” jawline), deeper nasolabial folds, smaller visible areas of the eyes, thinner lips, and longer nose and ears. In postmenopausal women, facial aging was best predicted by the years since last menstruation and mainly attributable to bone resorption in the mandible.Discussion: With high spatial and temporal resolution, we were able to extract a shared facial aging pattern in women and men, and its divergence after menopause. This fully quantitative three‐dimensional analysis of human facial aging may not only find applications in forensic and ancient human facial reconstructions, but shall include lifestyle and endocrinological measures, and also reach out to studies of social perception.

20 September 2008 in Human Nature
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Journal Article
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SWSonja Windhager
Sonja Windhager
DSDennis E. Slice
Dennis E. Slice
KSKatrin Schaefer
Katrin Schaefer
EOElisabeth Oberzaucher
Elisabeth Oberzaucher
TTTruls Thorstensen
Truls Thorstensen
KGKarl Grammer
Karl Grammer

11 February 2015 in PLOS ONE
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Journal Article
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PMPhilipp Mitteroecker
Philipp Mitteroecker
SWSonja Windhager
Sonja Windhager
GMGerd B. Müller
Gerd B. Müller
KSKatrin Schaefer
Katrin Schaefer
In studies of social inference and human mate preference, a wide but inconsistent array of tools for computing facial masculinity has been devised. Several of these approaches implicitly assumed that the individual expression of sexually dimorphic shape features, which we refer to as maleness, resembles facial shape features perceived as masculine. We outline a morphometric strategy for estimating separately the face shape patterns that underlie perceived masculinity and maleness, and for computing individual scores for these shape patterns. We further show how faces with different degrees of masculinity or maleness can be constructed in a geometric morphometric framework. In an application of these methods to a set of human facial photographs, we found that shape features typically perceived as masculine are wide faces with a wide inter-orbital distance, a wide nose, thin lips, and a large and massive lower face. The individual expressions of this combination of shape features—the masculinity shape scores—were the best predictor of rated masculinity among the compared methods (r = 0.5). The shape features perceived as masculine only partly resembled the average face shape difference between males and females (sexual dimorphism). Discriminant functions and Procrustes distances to the female mean shape were poor predictors of perceived masculinity.

15 February 2012 in Proceedings Of The Royal Society B-Biological Sciences
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Journal Article
Closed access
KMKonstanze Meindl
Konstanze Meindl
SWSonja Windhager
Sonja Windhager
BWBernard Wallner
Bernard Wallner
KSKatrin Schaefer
Katrin Schaefer
During human ontogeny, testosterone has powerful organizational and activational effects on the male organism. This has led to the hypothesis that the prenatal environment (as studied through the second-to-fourth digit ratio, 2D : 4D) is not only associated with robust adult male faces that are perceived as dominant and masculine, but also that there is an activational step during puberty. To test the latter, we collected digit ratios and frontal photographs of right-handed Caucasian boys (aged 4–11 years) along with age, body height and body weight. Using geometric morphometrics, we show a significant relationship between facial shape and 2D : 4D before the onset of puberty (explaining 14.5% of shape variation; p = 0.014 after 10 000 permutations, n = 17). Regression analyses depict the same shape patterns as in adults, namely that the lower the 2D : 4D, the smaller and shorter the forehead, the thicker the eyebrows, the wider and shorter the nose, and the larger the lower face. Our findings add to previous evidence that certain adult male facial characteristics that elicit attributions of masculinity and dominance are determined very early in ontogeny. This has implications for future studies in various fields ranging from social perception to life-history strategies.