Histograms for and correlations between fWHR, BMI, perceptual norms, and GM measurements (DFA = Distance from Average; MF = Maleness/Femaleness) for Females.

BMI and WHR Are Reflected in Female Facial Shape and Texture: A Geometric Morphometric Image Analysis

Mayer, Christine (University of Vienna)
Windhager, Sonja (University of Vienna)
Schaefer, Katrin (Department of Evolutionary Anthropology, Faculty of Life Sciences, University of Vienna)
Mitteroecker, Philipp (University of Vienna)

January 2017

Facial markers of body composition are frequently studied in evolutionary psychology and are importa...

Histogram showing the frequency of subjects (x axis) classified into each group by their discriminant function score (y axis).

Lucy Matthews (4338)
Shannon Kolind (797611)
Alix Brazier (797612)
Maria Isabel Leite (797613)
Jonathan Brooks (797614)
Anthony Traboulsee (194541)
Mark Jenkinson (336068)
Heidi Johansen-Berg (797615)
Jacqueline Palace (25665)

September 2015

Histogram showing the frequency of subjects (x axis) classified into each group by their discrimi...

Anthropometric measurements categorized by presence of food addiction by gender.

Aylin Ayaz (5125631)
Reyhan Nergiz-Unal (365739)
Damla Dedebayraktar (5125616)
Asli Akyol (5125619)
A. Gulden Pekcan (5125625)
Halit Tanju Besler (5125622)
Zehra Buyuktuncer (5125628)

April 2018

Anthropometric measurements categorized by presence of food addiction by gender.</p

Descriptive statistics for fWHR, BMI, perceptual norms, and GM measurements.

S. Adil Saribay (4853671)
Ali Furkan Biten (4853677)
Erdem Ozan Meral (4853674)
Pinar Aldan (4853668)
Vít Třebický (512839)
Karel Kleisner (289807)

February 2018

Descriptive statistics for fWHR, BMI, perceptual norms, and GM measurements.</p

Phenotypic correlation between measured traits, male above diagonal and female below diagonal.

Masixole Maswana (14259447)
Thinawanga Joseph Mugwabana (14259450)
Thobela Louis Tyasi (14259453)

December 2022

Phenotypic correlation between measured traits, male above diagonal and female below diagonal.</p

Correlation between measured and photogrammetrically estimated morphological traits (separated for males and females).

Kristine Meise (591567)
Birte Mueller (591568)
Beate Zein (591569)
Fritz Trillmich (48862)

July 2014

Presented are the correlations between measured and estimated body length (A, category 1 - photog...

Landmarks, stature, and masculinity ratings for 45 human faces

Mitteroecker, Philipp
Windhager, Sonja
Müller, Gerd B.
Schaefer, Katrin

February 2015

Females_21_70lms.txt: x and y coordinates of 70 landmarks measured on 21 female faces (21x140 data m...

Sexual dimorphism is visualized by deformation grids between average female and average male facial shape, together with two-fold extrapolations of these shape differences.

Philipp Mitteroecker (163098)
Sonja Windhager (575949)
Gerd B. Müller (673854)
Katrin Schaefer (575950)

February 2015

Sexual dimorphism is visualized by deformation grids between average female and average male faci...

Histograms representing the distribution of male and female participants across the age range for both in-person and online study settings.

Tara McAllister (815514)
Jonathan L. Preston (4219351)
Laura Ochs (17921656)
Jennifer Hill (710916)
Elaine R. Hitchcock (17921659)

February 2024

Histograms representing the distribution of male and female participants across the age range for bo...

Data from: BMI and WHR are reflected in female facial shape and texture: a geometric morphometric image analysis

Mayer, Christine
Windhager, Sonja
Schaefer, Katrin
Mitteroecker, Philipp

December 2017

Facial markers of body composition are frequently studied in evolutionary psychology and are importa...

Correlations between the measurements of the regions of interest in the femoral necks and mandibles.

Pei-Yu Hsu (2634139)
Ming-Tzu Tsai (296145)
Shun-Ping Wang (296150)
Ying-Ju Chen (296144)
Jay Wu (320681)
Jui-Ting Hsu (296143)

April 2016

Correlations between the measurements of the regions of interest in the femoral necks and mandibl...

The perceptual subjective gender scores.

Syed Zulqarnain Gilani (577504)
Kathleen Rooney (577505)
Faisal Shafait (577506)
Mark Walters (443750)
Ajmal Mian (577507)

June 2014

A histogram of mean perceptual masculinity and femininity ratings obtained from 75 raters.</p

Participant attractiveness ratings: correlation with BMI and WHR.

Ian E. Holliday (320929)
Olivia A. Longe (339538)
N. Jade Thai (339539)
Peter J. B. Hancock (339540)
Martin J. Tovée (296872)

February 2013

A)Plot of average attractiveness ratings against the BMIPAR of the bodies in the photo...

Correlation coefficients and Fisher’s r-to-z transformations of Pearson r and partial correlations between Ibs and male and female obesity prevalence.

Wenpeng You (5532983)
Maciej Henneberg (406389)

July 2018

Correlation coefficients and Fisher’s r-to-z transformations of Pearson r and partial correlation...

Descriptive statistics, correlations within and between factors of narcissism and measures of body image, and sex differences for both.

Piotr Szymczak (2259946)
Daniel Talbot (6734516)
Emanuela S. Gritti (17063751)
Peter K. Jonason (9322818)

November 2023

Descriptive statistics, correlations within and between factors of narcissism and measures of body i...

BMI and WHR Are Reflected in Female Facial Shape and Texture: A Geometric Morphometric Image Analysis

Mayer, Christine (University of Vienna)
Windhager, Sonja (University of Vienna)
Schaefer, Katrin (Department of Evolutionary Anthropology, Faculty of Life Sciences, University of Vienna)
Mitteroecker, Philipp (University of Vienna)

January 2017

Facial markers of body composition are frequently studied in evolutionary psychology and are importa...

Histogram showing the frequency of subjects (x axis) classified into each group by their discriminant function score (y axis).

Lucy Matthews (4338)
Shannon Kolind (797611)
Alix Brazier (797612)
Maria Isabel Leite (797613)
Jonathan Brooks (797614)
Anthony Traboulsee (194541)
Mark Jenkinson (336068)
Heidi Johansen-Berg (797615)
Jacqueline Palace (25665)

September 2015

Histogram showing the frequency of subjects (x axis) classified into each group by their discrimi...

Anthropometric measurements categorized by presence of food addiction by gender.

Aylin Ayaz (5125631)
Reyhan Nergiz-Unal (365739)
Damla Dedebayraktar (5125616)
Asli Akyol (5125619)
A. Gulden Pekcan (5125625)
Halit Tanju Besler (5125622)
Zehra Buyuktuncer (5125628)

April 2018

Anthropometric measurements categorized by presence of food addiction by gender.</p

Descriptive statistics for fWHR, BMI, perceptual norms, and GM measurements.

S. Adil Saribay (4853671)
Ali Furkan Biten (4853677)
Erdem Ozan Meral (4853674)
Pinar Aldan (4853668)
Vít Třebický (512839)
Karel Kleisner (289807)

February 2018

Descriptive statistics for fWHR, BMI, perceptual norms, and GM measurements.</p

Phenotypic correlation between measured traits, male above diagonal and female below diagonal.

Masixole Maswana (14259447)
Thinawanga Joseph Mugwabana (14259450)
Thobela Louis Tyasi (14259453)

December 2022

Phenotypic correlation between measured traits, male above diagonal and female below diagonal.</p

Correlation between measured and photogrammetrically estimated morphological traits (separated for males and females).

Kristine Meise (591567)
Birte Mueller (591568)
Beate Zein (591569)
Fritz Trillmich (48862)

July 2014

Presented are the correlations between measured and estimated body length (A, category 1 - photog...

Landmarks, stature, and masculinity ratings for 45 human faces

Mitteroecker, Philipp
Windhager, Sonja
Müller, Gerd B.
Schaefer, Katrin

February 2015

Females_21_70lms.txt: x and y coordinates of 70 landmarks measured on 21 female faces (21x140 data m...

Sexual dimorphism is visualized by deformation grids between average female and average male facial shape, together with two-fold extrapolations of these shape differences.

Philipp Mitteroecker (163098)
Sonja Windhager (575949)
Gerd B. Müller (673854)
Katrin Schaefer (575950)

February 2015

Sexual dimorphism is visualized by deformation grids between average female and average male faci...

Histograms representing the distribution of male and female participants across the age range for both in-person and online study settings.

Tara McAllister (815514)
Jonathan L. Preston (4219351)
Laura Ochs (17921656)
Jennifer Hill (710916)
Elaine R. Hitchcock (17921659)

February 2024

Histograms representing the distribution of male and female participants across the age range for bo...

Data from: BMI and WHR are reflected in female facial shape and texture: a geometric morphometric image analysis

Mayer, Christine
Windhager, Sonja
Schaefer, Katrin
Mitteroecker, Philipp

December 2017

Facial markers of body composition are frequently studied in evolutionary psychology and are importa...

Correlations between the measurements of the regions of interest in the femoral necks and mandibles.

Pei-Yu Hsu (2634139)
Ming-Tzu Tsai (296145)
Shun-Ping Wang (296150)
Ying-Ju Chen (296144)
Jay Wu (320681)
Jui-Ting Hsu (296143)

April 2016

Correlations between the measurements of the regions of interest in the femoral necks and mandibl...

The perceptual subjective gender scores.

Syed Zulqarnain Gilani (577504)
Kathleen Rooney (577505)
Faisal Shafait (577506)
Mark Walters (443750)
Ajmal Mian (577507)

June 2014

A histogram of mean perceptual masculinity and femininity ratings obtained from 75 raters.</p

Participant attractiveness ratings: correlation with BMI and WHR.

Ian E. Holliday (320929)
Olivia A. Longe (339538)
N. Jade Thai (339539)
Peter J. B. Hancock (339540)
Martin J. Tovée (296872)

February 2013

A)Plot of average attractiveness ratings against the BMIPAR of the bodies in the photo...

Correlation coefficients and Fisher’s r-to-z transformations of Pearson r and partial correlations between Ibs and male and female obesity prevalence.

Wenpeng You (5532983)
Maciej Henneberg (406389)

July 2018

Correlation coefficients and Fisher’s r-to-z transformations of Pearson r and partial correlation...

Descriptive statistics, correlations within and between factors of narcissism and measures of body image, and sex differences for both.

Piotr Szymczak (2259946)
Daniel Talbot (6734516)
Emanuela S. Gritti (17063751)
Peter K. Jonason (9322818)

November 2023

Descriptive statistics, correlations within and between factors of narcissism and measures of body i...

BMI and WHR Are Reflected in Female Facial Shape and Texture: A Geometric Morphometric Image Analysis

Mayer, Christine (University of Vienna)
Windhager, Sonja (University of Vienna)
Schaefer, Katrin (Department of Evolutionary Anthropology, Faculty of Life Sciences, University of Vienna)
Mitteroecker, Philipp (University of Vienna)

January 2017

Facial markers of body composition are frequently studied in evolutionary psychology and are importa...

Histogram showing the frequency of subjects (x axis) classified into each group by their discriminant function score (y axis).

Lucy Matthews (4338)
Shannon Kolind (797611)
Alix Brazier (797612)
Maria Isabel Leite (797613)
Jonathan Brooks (797614)
Anthony Traboulsee (194541)
Mark Jenkinson (336068)
Heidi Johansen-Berg (797615)
Jacqueline Palace (25665)

September 2015

Histogram showing the frequency of subjects (x axis) classified into each group by their discrimi...

Anthropometric measurements categorized by presence of food addiction by gender.

Aylin Ayaz (5125631)
Reyhan Nergiz-Unal (365739)
Damla Dedebayraktar (5125616)
Asli Akyol (5125619)
A. Gulden Pekcan (5125625)
Halit Tanju Besler (5125622)
Zehra Buyuktuncer (5125628)

April 2018

Anthropometric measurements categorized by presence of food addiction by gender.</p

Histograms for and correlations between fWHR, BMI, perceptual norms, and GM measurements (DFA = Distance from Average; MF = Maleness/Femaleness) for Females.

Abstract

Extracted data

Histograms for and correlations between fWHR, BMI, perceptual norms, and GM measurements (DFA = Distance from Average; MF = Maleness/Femaleness) for Females.

Abstract

Extracted data

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