The myth of hidden ovulation: Shape and texture changes in the face during the menstrual cycle

Abstract

In recent years, evidence has been gathered indicating increased attractiveness of female faces at the point of ovulation. In this paper, we asked what changes in facial appearance occur during menstrual cycle that lead to this shift in attractiveness. We analysed facial photographs of 20 young women with a normal cycle. We found evidence for textural changes, as well as shape changes that might account for the ovulatory peak in attractiveness. Generally, facial shape at ovulation is perceived as more attractive — and ovulating women are perceived as more attractive the closer their face shape is to the “ovulation shape”. These findings support the hypothesis that attractive signals might be rooted in signals of fertility.

Full text

Journal of Evolutionary Psychology, 2012, 163–175
DOI: 10.1556/JEP.10.2012.4.1
1789–2082 © 2012 Akadémiai Kiadó, Budapest
THE MYTH OF HIDDEN OVULATION:
SHAPE AND TEXTURE CHANGES IN THE FACE
DURING THE MENSTRUAL CYCLE
DR. E. OBERZAUCHER
1
, DR. S. KATINA
2,3
, MAG. S. F. SCHMEHL
1
,
M
AG. I. J. HOLZLEITNER
1
, DR. K. GRAMMER
1,*
1
Department of Anthropology, University of Vienna, Vienna, Austria
2
Department of Anthropology and Department of Mathematics and Statistics, Faculty of Science,
Masaryk University, Brno, Czech Republic
3
Department of Applied Mathematics and Statistics, Faculty of Mathematics, Physics and
Informatics, Comenius University, Bratislava, Slovakia
Abstract. In recent years, evidence has been gathered indicating increased attractiveness of fe-
male faces at the point of ovulation. In this paper, we asked what changes in facial appearance oc-
cur during menstrual cycle that lead to this shift in attractiveness. We analysed facial photographs
of 20 young women with a normal cycle. We found evidence for textural changes, as well as
shape changes that might account for the ovulatory peak in attractiveness. Generally, facial shape
at ovulation is perceived as more attractive – and ovulating women are perceived as more attrac-
tive the closer their face shape is to the “ovulation shape”. These findings support the hypothesis
that attractive signals might be rooted in signals of fertility.
Keywords: ovulation, facial attractiveness, symmetry, geometric morphometric methodology
INTRODUCTION
The fact that human females do not appear to show any visible signs of ovulation –
unlike other primates – has led to the development of a rich theoretical body of
work attempting to explain this phenomenon in terms of evolutionary constraints.
Has hidden oestrus evolved to trick males into forming a pair bond (A
LEXAN-
DER
and NOONAN 1979)? Following this line of reasoning, males unaware of fe-
males’ fertility would remain bonded to ensure impregnation and paternity; a fe-
male providing clues to her ovulation might risk losing male investment (T
RIVERS
1972). Or, quite the opposite, has hidden oestrous arisen to increase paternal insecu-
rity to allow females to “escape the negative consequences of being pawns in mar-
riage games” (G
RAY and WOLFE 1983)? Once monogamy is established, an op-
tional female strategy would be to copulate outside their long-term relationships,
*
Address for correspondence:
1
Dr. E. OBERZAUCHER, University of Vienna Vienna, Austria,
e-mail: elisabeth.oberzaucher@univie.ac.at.
2
DR. S. KATINA, Department of Anthropology and
Department of Mathematics and Statistics, Faculty of Science, Masaryk University, Brno, Czech
Republic, e-mail: stanislav.katina@gmail.com
3
MAG. S. F. SCHMEHL, University of Vienna, De-
partment of Anthropology, e-mail: susanne.schmehl@univie.ac.at.
1
MAG. I. J. HOLZLEITNER, Uni-
versity of Vienna, Dept. of Anthropology, e-mail: iris.holzleitner@univie.ac.at.
1
DR. K. GRAM-
MER
, University of Vienna, Dept. of Anthropology, e-mail: grammer@univie.ac.at

E. OBERZAUCHER et al.
JEP 10(2012)4
164
thus obtaining superior genes for their offspring while ensuring paternal investment
by her long-term partner (B
ELLIS and BAKER 1991). Indeed, increased extra-pair
copulations coincide with an increase in females’ self-reported arousal to sexual
stimuli (L
USCHEN and PIERCE 1972), peaks in sexual receptivity (ADAMS, GOLD
and B
URT 1978), and an increased amount of attraction to, and fantasies about, men
who are not their primary partners. Yet another hypothesis speculates that signals of
oestrus might have been reduced to counter infanticide by increased paternal uncer-
tainty (H
RDY 1981). Unfortunately, these theories cannot be tested empirically.
In recent years, evidence has accumulated indicating that women’s mate pref-
erences change during ovulation (R
OBERTS et al. 2004). In this context, the term
hormone-mediated adaptive design has been introduced: In their fertile phase,
women prefer more masculine features than in their non-fertile phase (J
OHNSTON et
al. 2001). In addition, male body odour smells most intense and least unpleasant to
women at ovulation (D
OTY et al. 1975; SINGH and BRONSTAD 2001).
Female behaviour changes, too: Walking style becomes more feminine
(G
RAMMER et al. 2003), and women dress more ‘sexily’ during the fertile window
of their cycle (G
RAMMER, RENNINGER and FISCHER 2004). Not only do women be-
have differently, they are also perceived differently: Several recent studies show
that women are judged to be more attractive when in their fertile phase of the men-
strual cycle (R
OBERTS et al. 2004; LAW SMITH et al. 2006).
The fact that women lack ostentatious sexual swellings does not imply that
women do not signal their fertility status. Both the sexual swellings in primates, as
well as the shifts in human behaviour and facial appearance during ovulation, ap-
parently make females more attractive to males. Thus, we think the term ‘concealed
ovulation’ to be inappropriate and misleading.
The fact that women are most attractive in the fertile window of their cycle
(R
OBERTS et al. 2004; LAW SMITH et al. 2006) causes us to question whether we
have been approaching the whole topic from the wrong end: Traits associated with
attractiveness could well be perceived as attractive because they are signals of ovu-
lation. Instead of ovulation being hidden in humans, signals of ovulation might have
spread over the whole menstrual cycle. Thus, fertility signals may have become part
of overall attractiveness.
Female attractiveness is characterised by a number of aspects, such as reduced
fluctuating asymmetry, markers of hormone levels, skin coloration, and neoteny
markers. According to the parasite theory of sexual selection (H
AMILTON and ZUK
1982), the absence of anomalies in ontogeny shows ‘developmental stability’: The
inability to cope with environmental and genetic perturbations is for example re-
flected in elevated levels of fluctuating asymmetry (G
ANGESTAD, THORNHILL and
Y
EO 1994; GRAMMER and THORNHILL 1994; THORNHILL and MOLLER 1998), a
symmetric face presumably indicates high immune competence (T
HORNHILL and
G
ANGESTAD 1993). Preferences for averageness have been linked to heterozygos-
ity, which represents a larger buffer against pathogens.

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In addition, immune competence is highly relevant because the steroid repro-
ductive hormones responsible for the development of attractive, secondary sexual
traits, may negatively affect immunological functions (F
OLSTAD and KARTER
1992). Thus, markers developed with the help of high sex hormone levels may sig-
nal the ability of the immune system to deal with the deteriorating effect of oestro-
gen (S
ERVICE 1998). The display of handicaps such as hormone markers can signal
the ability to meet the costs imposed by this handicap. As another example, Z
AHAVI
and Z
AHAVI (1997) discuss red cheeks and lips. The red colouring is a result of pe-
ripheral blood circulation below the skin, which cannot be kept up in a cold envi-
ronment or during times of illness.
Skin texture is also known to affect the attractiveness of faces, and it too seems
to signal fitness. R
OBERTS et al. (2005) found skin homogeneity and attractiveness
to be positively associated with heterozygosity in MHC-genes. M
ATTS et al. (2007)
found that a different skin can make the same face look 20 years older. Skin dark-
ens in pregnancy, under the influence of hormonal contraception, which has been
taken to assume that paler skin – found to be attractive in previous studies – might
be an indicator of neoteny (F
ROST 1988).
J
ONES (1996) showed that female faces exhibiting certain – neotenous – facial
proportions – small lower face, lower jaw and nose, and large lips – are perceived
as more attractive. The strong association between youth and fecundity in adult fe-
males supposedly led to the male preference for facial markers of high, age-related
fecundity. Women’s faces are attractive when they possess small lower facial fea-
tures, especially a gracile jaw, and large lips, which manifest under the influence of
oestrogen. These features may also be signals of nulliparous status (S
YMONS 1995).
In the present study we address the question why ovulating women are per-
ceived as more attractive. Can increased attractiveness at ovulation be linked to
measurable parameters? And, are those parameters similar to those already known
to be positively linked to female attractiveness?
METHODS
20 females aged 19 to 31 (23.35 ± 3.15) were photographed every day at the same
time throughout an entire cycle after giving informed consent. Ovulation was de-
tected using ovulation kits. For this investigation we used the photo from the first
day of ovulation and a luteal picture from 14 days after ovulation.
In a two-alternative forced choice task, 15 men (aged 24.20 ± 4.57) and 10
women (aged 26.80 ± 4.49) were asked to identify from each ovulatory/luteal pair
the image which was rated more highly on a number of features (attractive, healthy,
sexy, sociable, trustworthy, young, and likeable). Ovulatory and luteal images were
presented simultaneously on a computer screen in random order, with no indication
of the image types.

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The statistical analyses were performed in R software (R DEVELOPMENT,
C
ORE TEAM 2010). The results of hypotheses testing were considered as statisti-
cally significant at p-value<0.05. All p-values were calculated by a permutation
method (number of permutations = 5000).
The odds that the face in ovulatory state was rated more positively for a par-
ticular item was tested by a permutation Chi-square test. The null hypothesis is as
follows: odds are less than or equal to 1, where 1 means that ovulatory and luteal
state were chosen with the same probability.
We analysed the morphological changes using geometric morphometrics. On
the facial photographs, we measured Cartesian coordinates of 46 anthropological
landmarks and 26 semilandmarks (6 on the upper and lower outline of each eye-
brow, 7 on each half of the lower face, from the ear lobe to the turning point of left
and right chin, Table 1, Fig. 1).
Table 1. Definition of (semi)landmarks; left/right orientation – with respect to the observer
*
excluded from the analysis
1
*
Forehead right The right corner of the forehead, located in the hairline
2
*
Trichion The mid point of the hairline
3
*
Forehead left The left corner of the forehead, located in the hairline
4 Superciliare laterale right The most lateral point of the right eyebrow
5 Upper eyebrow right
6 Upper eyebrow right
7 Upper eyebrow right
Semilandmarks
8 Superciliare mediale right The most medial point of the right eyebrow
9 Lower eyebrow right
10 Lower eyebrow right
11 Lower eyebrow right
Semilandmarks
12 Superciliare mediale left The most medial point of the left eyebrow
13 Upper eyebrow left
14 Upper eyebrow left
15 Upper eyebrow left
Semilandmarks
16 Superciliare laterale left The most lateral point of the left eyebrow
17 Lower eyebrow left
18 Lower eyebrow left
19 Lower eyebrow left
Semilandmarks
20 Exocanthion right The outer corner of the right eye fissure where the eyelids meet
21 Iris top right
The highest point of the right iris; if not visible, point is located
on the approximated elongation of the circumference of the pupil

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Table 1. (Continue)
22 Endocanthion right
The right inner corner of the right eye fissure where the eyelids
meet
23 Iris bottom right
The lowest point of the right iris; if not visible, point is located
on the approximated elongation of the circumference of the pupil
24 Iris laterale right The most lateral point of the right iris
25 Pupil right The mid point of the right pupil
26 Iris mediale right The most medial point of the right iris
27 Endocanthion left The inner corner of the left eye fissure where the eyelids meet
28 Iris top left
The highest point of the left iris; if not visible, point is located on
the approximated elongation of the circumference of the pupil
29 Exocanthion left The outer corner of the left eye fissure where the eyelids meet
30 Iris bottom left
The lowest point of the left iris; if not visible, point is located on
the approximated elongation of the circumference of the pupil
31 Iris mediale left The most medial point of the left iris
32 Pupil left The mid point of the left pupil
33 Iris laterale left The most lateral point of the left iris
34 Alare origin right
The most inner point of the right ala of the nose; or elongation of
the nasolabial folds on right ala of the nose
35 Alare right The most lateral point on the right nasal ala
36
Columella apex
(columella breakpoint,
nostril top point) right
(The most anterior or) the highest point on the columella crest at
the apex of the right nostril
37 Subnasale
On the local midline of the junction formed by the lower border
of the nasal septum (the partition that divides the nostrils) and the
cutaneous portion of the upper lip
38
Columella apex
(columella breakpoint,
nostril top point) left
(The most anterior or) the highest point on the columella crest at
the apex of the left nostril
39 Alare left The most lateral point on the left nasal ala
40 Alare origin left
Most inner point of the left ala of the nose; or elongation of the
nasolabial folds on left ala of the nose
41 Cheilion right
The right corner of the mouth where the outer edges of the up
p
er
and lower vermilions meet
42 Upper lip right
The point in the middle of Labiale superius (44) and right Cheil-
ion (41)
43 Crista philtri right
The point on the right crest of the philtrum, i.e. the vertical
groove in the median proportion of the upper lip, located on the
vermilion border
44 Labiale superius
The philtrum mid point, located on the vermilion border of the
upper lip

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Table 1. (Continue)
45 Crista philtri left
The point on the crest of the left philtrum, i.e. the vertical groove
in the median proportion of the upper lip, located on the vermil-
ion border
46 Upper lip left
The point in the middle between Labiale superius (44) and left
Cheilion (47)
47 Cheilion left
The left corner of the mouth where the outer edges of the upper
and lower vermilions meet
48 Lower lip left
The point in the middle between Labiale inferius (49) and left
Cheilion (47)
49 Labiale inferius The mid point of the vermilion border of the lower lip
50 Lower lip right
The point in the middle between Labiale inferius (49) and right
Cheilion (41)
51 Cleft right
The point between Stomion (52) and right Cheilion (41), exactly
on the right cleft between upper and lower lip
52 Stomion The mid point of the labial fissure
53 Cleft left
The point between Stomion (52) and left Cheilion (47), on the
left cleft between upper and lower lip
54 Zygion right The most lateral point on the right zygomatic arch
55 Otobasion inferius right
The lowest point of attachment of the right ear lobe to the cheek,
which determines the lower border of right ear insertion
56 Lower face right
57 Lower face right
58 Lower face right
59 Lower face right
60 Lower face right
61 Lower face right
62 Lower face right
Semilandmarks
63 Gnathion The turning point of the right and left side of the chin
64 Lower face left
65 Lower face left
66 Lower face left
67 Lower face left
68 Lower face left
69 Lower face left
70 Lower face left
Semilandmarks
71 Otobasion inferius left
The lowest point of attachment of the left ear lobe to the cheek,
which determines the lower border of left ear insertion
72 Zygion left The most lateral point on the left zygomatic arch

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Fig. 1. Design of the (semi)landmarks (left and middle; numbers correspond to Table 1) and
statistically significant (semi)landmarks (•: p-values < 0.05, not adjusted by any multiple post-hoc
correction, (semi)landmarkwise matched-pair Goodall F-test)
We calculated the Procrustes shape coordinates using a generalized Procrustes
analysis (B
OOKSTEIN 1991). Firstly, the centroid of each (semi)landmark configura-
tion was found, and its root mean square distance to the (semi)landmarks computed;
this is called centroid size (CS). Secondly, the forms were re-scaled to CS = 1, the
centroids superimposed, and the forms rotated around the common centroid, until
the sum of squared distances between corresponding (semi)landmarks was a mini-
mum over all such rotations. This resulted in Procrustes shape coordinates. Equidis-
tantly marked semilandmarks were slid with respect to reference curves using bend-
ing energy. Sliding was performed iteratively on tangents, in a locally linear way, to
get geometrically homologous semilandmarks on the curves.
Hypotheses about mean shape differences between ovulatory and luteal states
were tested by permutation matched-pair Goodall F-test and, additionally, for visu-
alisation purposes, by (semi)landmarkwise matched-pair Goodall F-test, where
p-values were not adjusted by any multiple post-hoc correction. The aim of point-
wise statistical inference was only to visualize the statistical and biological signal
present in the data. Additionally we investigated fluctuating asymmetry in both
states (luteal and ovulatory) separately by permutation one-sample Mardia–
Bookstein–Moreton test (M
ARDIA, BOOKSTEIN and MORETON 2000). The level of
asymmetry was determined as the sum of squares of differences between original
and reflected forms.
A shape space matched-pair principal components analysis (PCA, also called
relative warp analysis, RWA) of the covariance matrix of approximate tangent Pro-
crustes shape coordinates (centered Procrustes shape coordinates, Procrustes fit co-
ordinates) was conducted in several forms: 1) PCA in full shape space, 2) PCA in
subspace of global bending patterns, and 3) PCA in subspace of local bending pat-
terns. Variability was decomposed into orthogonal components and, subsequently,
these components of shape variation were examined (B
OOKSTEIN 1991) and the

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main direction and size of the shape changes between luteal and ovulatory state
were identified. In the subspace of the first two PCs, a permutation one-sample test
was used to assess whether PC scores were significantly different from zero (in
which case the null hypothesis that ovulatory and luteal faces do not differ in the
particular PC subspace was rejected).
With a symmetrical two-block partial least square (PLS) analysis (B
OOKSTEIN
1994; S
AMPSON, STREISSGUTH, BARR and BOOKSTEIN 1989) we investigated the
correspondence between the set of centered Procrustes shape coordinates (block 1),
and attraction variables and degree of fluctuating asymmetry (block 2). The multi-
variate association between both blocks can be expressed by means of Pearson
product-moment correlation coefficients of singular warp (SW) scores.
Both PCA and PLS find low-dimensional linear combinations of high-
dimensional measurements by adapting one singular value decomposition of com-
mon and cross-block covariance matrices, respectively. The biologically meaning-
ful signal was investigated in the first two principal components (PCs) and the first
SW.
The visualisation of shape change from source to target was performed by thin
plate spline (TPS) deformation grids (B
OOKSTEIN 1991). The Procrustes mean
shape was chosen as a reference (source) form (Fig. 1). To quantify mean shape dif-
ferences, luteal and ovulatory mean shapes were chosen as targets. In both, PCA
and PLS, the matrix of scaled eigenvectors (PC loadings and singular vectors, resp.)
was used in the same way. If necessary, TPS deformation grids were extrapolated
(magnified) in a particular direction to ease the visualisation.
The analysis of skin texture homogeneity was carried out with co-occurrence
matrices from a 50×50 pixels sized patch from the left cheek (H
ARALICK, SHAN-
MUGAM
and DINSTEIN 1973). The co-occurrence matrix allows measuring the spa-
tial interrelationships of grey tones in a textural pattern to be measured and this
provides objective measurements for skin texture. The colour characteristics in skin
textures where calculated in a HSV-colour space as an average over the whole
patch. These procedures have been employed successfully in previous studies
(F
INK, GRAMMER and MATTS 2006; GRAMMER and THORNHILL 1994; MATTS,
F
INK, GRAMMER and BURQUEST 2007).
Hypotheses about mean differences between ovulatory and luteal state in par-
ticular texture variables were tested by permutation matched-pair student’s t-test.
The null hypothesis was one-sided with the mean difference being less than or equal
to zero.
Reliability of landmarks was calculated for both x- and y-coordinates simulta-
neously as total variance (trace of covariance matrix of particular landmark). It re-
flects intra- and inter-observer error scaled by sample total variance (n = 20). Me-
dian intra-observer error was 3.60%, median inter-observer error 6.61%. The less
reliable measurements were, not surprisingly, Type II and III landmarks (B
OOK-
STEIN
, 1991), namely forehead
*
, trichion
*
, superciliare, alare, alare origin, colu-
mella apex, iris mediale and laterale, and gnathion
*
(excluded from the analyses).

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RESULTS
Ovulatory faces were chosen significantly more often as being more attractive,
healthy, sexy, sociable, trustworthy, young, and likeable than luteal faces (Table 2).
Table 2. Frequencies of ovulatory face picture being chosen in the forced choice task
item
absolute
frequency
relative frequency in % ±
sd
Chi-square
stat
p-value
attractive 288 57.60 ± 2.21 11.25 < 0.001
healthy 306 61.20 ± 2.18 24.64 < 0.001
sexy 301 60.20 ± 2.19 20.40 < 0.001
sociable 273 54.60 ± 2.23 4.05 0.022
trustworthy 275 55.00 ± 2.22 4.80 0.014
young 293 58.60 ± 2.20 14.45 < 0.001
likeable 282 56.40 ± 2.22 7.94 0.002
Ovulatory and luteal faces were significantly different in PC2 of full shape
space (p = 0.002), and in PC1 and PC2 of local bending patterns (p = 0.001 and p =
0.032, resp.). In all PCs (see Fig. 2), the lower face is more robust in the luteal
phase, the nose is broader, and the eyebrows are more pronounced; in the ovulatory
phase, the lips are fuller and the whole face is more gracile (Fig. 2).
Fig. 2. TPS deformation grids; PCA in full shape space (first column; PC2, explained
variance 12.17%); PCA for global bending patterns (second column; PC1, 47.16%), and PCA for
local bending patterns (last two columns; PC1 and PC2, 14.46% and 12.24%, resp.)

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Shape corresponds to attractiveness ratings in more or less the same direction:
Among ovulatory faces, those which have the least deviation from the average ovu-
latory face are perceived as most attractive, whereas those whose shape is similar to
the average luteal face are perceived as least attractive (Fig. 3).
Fig. 3. TPS deformation grids of PLS in SW1 (ovulatory faces only, explained variance
54.84%, Pearson product-moment correlation coefficient of attractiveness ratings and shape
coordinates = 0.622, calculated based on SW1 scores)
Ovulatory faces were not significantly asymmetric (p = 0.4), while luteal faces
were strongly asymmetric (p < 0.0001).
Ovulatory skin had significantly lower hue (it is redder), lower contrast, and
increased homogeneity compared to luteal skin (Table 3).
Table 3. Results of the texture analysis
item mean ovulatory ± sd mean luteal ± sd t-stat p-value
homogeneity 0.257 ± 0.028 0.243 ± 0.025 2.936 0.008
correlation 7.020×10
11
± 2.520×10
11
8.13×10
11
± 2.210×10
11
–2.097 0.050
hue 0.026 ± 0.059 0.029 ± 0.050 –2.875 0.010
DISCUSSION
Our findings confirm earlier studies insofar as facial pictures of ovulatory women
were chosen significantly more often as being more attractive, healthy, sexy, socia-
ble, trustworthy, young, and likeable than luteal faces. We could identify the shape

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changes that occur between the luteal and ovulatory state. The lower face is more
robust in the luteal phase, the nose is broader, and the eyebrows are more pro-
nounced. This corresponds to what have been described as masculine features in the
literature (R
OBERTS et al. 2004). In the ovulatory phase the lips are fuller and the
whole face is less robust. Fuller lips and a fragile lower face have been previously
associated with youthfulness and high levels of oestrogen (G
RAMMER et al. 2003;
S
YMONS 1995). The increased redness of the face is probably due to higher periph-
eral blood circulation.
While we took all measures to ensure that the faces were photographed in ex-
actly frontal position, any two-dimensional approach is vulnerable to tilting effects.
Part of the shape changes we find might be due to changes in head pose, i.e. the
luteal faces might be tilted back more. In order to rule out this possibility, we will
collect 3D data as a next step, which is not affected by head pose.
The findings of our study support the idea that some characteristics of what we
perceive as an attractive female face are actually synonymous to signals of ovula-
tion. Thus, the notion of hidden ovulation has to be challenged: First, as there are
detectable changes in the appearance of the female face at the point of ovulation, it
cannot be considered hidden. Second, the signal value of those characteristics has to
be reinvestigated: What we perceive as being attractive might just signal ovulation,
conveying no information beyond the hormonal state.
ACKNOWLEDGMENT
Statistical analyses were supported by VEGA grant Nr. 2/0038/12 to SK.
REFERENCES
A
DAMS, D.B., GOLD, A.R. and BURT, A.D. (1978): Rise in female initiaed sexual activity at
ovulation and its suppression by oral contraceptives. New England Journal of Medicine,
299, 1145–1150.
A
LEXANDER, R. and NOONAN, K. (1979): Concealment of ovulation, parental care, and human
social evolution. In: Chagnon, N.A., Irons, W.G. (eds): Evolutionary Biology and Human
Social Behavior: an anthropological perspective. North Scituate, MA: Duxbury Press,
pp. 436–453.
B
ELLIS, M. and BAKER, R. (1991): Do females promote sperm competition? Data for humans.
Animimal Behavior, 40(5), 997–999.
BOOKSTEIN, F.L. (1991): Morphometric Tools for Landmark Data: Geometry and Biology.
Cambridge: Cambridge University Press.
BOOKSTEIN, F.L. (1994): Partial least squares: a dose-response model for measurement in the
behavioral and brain sciences. Psychology 5, 1–10.
D
OTY, R.L., FORD, M., PRETI, G. and HUGGINS, G.R. (1975): Changes in intensity and
pleasantness of human vaginal odors during the menstrual cycle. Science, 190(4221), 1316–
1318.

E. OBERZAUCHER et al.
JEP 10(2012)4
174
F
INK, B., GRAMMER, K., and MATTS, P.J. (2006): Visible skin color distribution plays a role in the
perception of age, attractiveness, and health in female faces. Evol. Hum. Behav. 27(6),
433–442.
F
OLSTAD, I. and KARTER, A.J. (1992): Parasites, bright males, and the immunocompetence
handicap. Am. Nat., 139(3), 603–622.
FROST, P. (1988): Human skin color: A possible relationship between its sexual dimorphism and
its social perception. Perspectives in Biology and Medicine, 32(1), 38–58.
GANGESTAD, S.W., THORNHILL, R. and YEO, R.A. (1994): Facial attractiveness, developmental
stability, and fluctuating asymmetry. Ethology and Sociobiology, 15(2), 73–85.
GRAMMER, K. and THORNHILL, R. (1994): Human (Homo sapiens) facial attractiveness and sexual
selection – The role of symmetry and averageness. Journal of Comparative Psychology,
108(3), 233–242.
G
RAMMER, K., KEKI, V., STRIEBEL, B., ATZMÜLLER, M. and FINK, B. (2003): Bodies in motion: a
window to the soul. In: Voland, E., Grammer, K. (eds) Evolutionary Aesthetics. Heidelberg,
Berlin, New York: Springer, pp 295–324.
G
RAMMER, K., RENNINGER, L. and FISCHER, B. (2004): Disco clothing, female sexual motivation,
and relationship status: Is she dressed to impress? Journal of Sex Research, 41(1), 66–74.
GRAY, J.P. and WOLFE, L.D. (1983): Human female sexual cycles and the concealment of
ovulation problem. Journal of Social and Biological Structures, 6, 345–352.
HAMILTON, W.D. and ZUK, M. (1982): Heritable true fitness and bright birds – A role for
parasites. Science, 218(4570), 384–387.
HARALICK, R.M., SHANMUGAM, K., and DINSTEIN, I. (1973): Textural features for image
classification. IEEE Trans. Syst. Man Cybern. SMC 3(6), 610–621.
H
RDY, S.B. (1981): The Woman that Never Evolved. Cambridge: Harvard University Press.
J
OHNSTON, V.S., HAGEL, R., FRANKLIN, M., FINK, B. and GRAMMER, K. (2001): Male facial
attractiveness: evidence for hormone-mediated adaptive design. Evolution and Human
Behavior, 22(4), 251–267.
J
ONES, D. (1996): An evolutionary perspective on physical attractiveness. Evolutionary
Anthropology, 5(3), 97–109.
LAW SMITH, M.J., PERRETT, D.I., JONES, B.C., CORNWELL, R.E., MOORE, F.R., FEINBERG, D.R.,
BOOTHROYD, L.G., DURRANI, S.J., STIRRAT, M.R., WHITEN, S., PITMAN, R.M. and HILLIER,
S.G. (2006): Facial appearance is a cue to oestrogen levels in women. Proceedings of the
Royal Society B, 273(1583), 135–140.
L
USCHEN, M.E. and PIERCE, D.M. (1972): Effect of menstrual cycle on mood and sexual
arousability. Journal of Sex Research, 8(1), 41–47.
M
ARDIA, K.V., BOOKSTEIN, F.L., and MORETON, I.J. (2000): Statistical assessment of bilateral
symmetry of shapes. Biometrika 87(2), 285–300.
M
ATTS, P.J., FINK, B., GRAMMER, K. and BURQUEST, M. (2007): Color homogeneity and visual
perception of age, health, and attractiveness of female facial skin. Journal of the American
Academy of Dermatoogy., 57 (6), 977–984.
R
DEVELOPMENT CORE TEAM (2010): R: A Language and Environment for Statistical Computing
(R Foundation for Statistical Computing, Vienna, Austria).
ROBERTS, S.C., HAVLICEK, J., FLEGR, J., HRUSKOVA, M., LITTLE, A.C., JONES, B.C., PERRETT, D.I.
and PETRIE, M. (2004): Female facial attractiveness increases during the fertile phase of the
menstrual cycle. Proceedings of the Royal Society B, 271, 270–272.
ROBERTS, S.C., LITTLE, A.C., MORRIS GOSLING, L., PERRETT, D.I., JONES, B.C., PENTON-VOAK, I.
and PETRIE, M. (2005): MHC-heterozygosity and human facial attractiveness. Evolution and
Human Behavior, 26(3), 213–226.

THE MYTH OF HIDDEN OVULATION
JEP 10(2012)4
175
S
AMPSON, P.D., STREISSGUTH, A.P., BARR, H.M., and BOOKSTEIN, F.L. (1989): Neurobehavioral
effects of prenatal alcohol: Part II. Partial least squares analysis. Neurotoxicol. Teratol.
11(5), 477–491.
S
ERVICE, R.F. (1998): New role for estrogen in cancer? Science, 279(5357), 1631–1633.
S
INGH, D. and BRONSTAD, P.M. (2001): Female body odour is a potential cue to ovulation.
Proceedings of the Royal Society B, 268 (1469), 797–801.
S
YMONS, D. (1995): Neoteny reconsidered (commentary on “Sexual selection, physical
attractiveness, and facial neoteny” by D. Jones). Current Anthropology, 36, 741–743.
T
HORNHILL, R. and GANGESTAD, S.W. (1993): Human facial beauty – Averageness, symmetry,
and parasite resistance. Human Nature, 4(3), 237–269.
THORNHILL, R. and MOLLER, A.P. (1998): The relative importance of size and asymmetry in
sexual selection. Behavioral Ecology, 9(6), 546–551.
TRIVERS, R.L. (1972): Parental investment and sexual selection. In: Campbell, B. (ed.): Sexual
Selection and the Descent of Men, 1871–1971. Chicago: Aldine Publishing Company, pp.
136–179.
Z
AHAVI, A. and ZAHAVI, A. (1997): The Handicap Principle: A Missing Piece of Darwin’s
Puzzle. New York, Oxford: Oxford University Press.