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Cues Resulting in Desire for Sexual Activity in Women

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A number of questionnaires have been created to assess levels of sexual desire in women, but to our knowledge, there are currently no validated measures for assessing cues that result in sexual desire. A questionnaire of this nature could be useful for both clinicians and researchers, because it considers the contextual nature of sexual desire and it draws attention to individual differences in factors that can contribute to sexual desire. The aim of the present study was to create a multidimensional assessment tool of cues for sexual desire in women that is validated in women with and without hypoactive sexual desire disorder (HSDD). Factor analyses conducted on both an initial sample (N = 874) and a community sample (N = 138) resulted in the Cues for Sexual Desire Scale (CSDS) which included four factors: (i) Emotional Bonding Cues; (ii) Erotic/Explicit Cues; (iii) Visual/Proximity Cues; and (iv) Implicit/Romantic Cues. Scale construction of cues associated with sexual desire and differences between women with and without sexual dysfunction. The CSDS demonstrated good reliability and validity and was able to detect significant differences between women with and without HSDD. Results from regression analyses indicated that both marital status and level of sexual functioning predicted scores on the CSDS. The CSDS provided predictive validity for the Female Sexual Function Index desire and arousal domain scores, and increased cues were related to a higher reported frequency of sexual activity in women. The findings from the present study provide valuable information regarding both internal and external triggers that can result in sexual desire for women. We believe that the CSDS could be beneficial in therapeutic settings to help identify cues that do and do not facilitate sexual desire in women with clinically diagnosed desire difficulties.
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J Sex Med 2006;3:838852 © 2006 International Society for Sexual Medicine
838
Blackwell Publishing IncMalden, USAJSMJournal of Sexual Medicine1743-6095© 2006 International Society for Sexual Medicine200635838852Original ArticleCues Resulting in Desire for Sexual ActivityMcCall and Meston
ORIGINAL RESEARCH—PSYCHOLOGY
Cues Resulting in Desire for Sexual Activity in Women
Katie McCall, MA, and Cindy Meston, PhD
University of Texas at Austin, Department of Psychology, Austin, TX, USA
DOI: 10.1111/j.1743-6109.2006.00301.x
ABSTRACT
Introduction. A number of questionnaires have been created to assess levels of sexual desire in women, but to our
knowledge, there are currently no validated measures for assessing cues that result in sexual desire. A questionnaire
of this nature could be useful for both clinicians and researchers, because it considers the contextual nature of sexual
desire and it draws attention to individual differences in factors that can contribute to sexual desire.
Aim. The aim of the present study was to create a multidimensional assessment tool of cues for sexual desire in
women that is validated in women with and without hypoactive sexual desire disorder (HSDD).
Methods. Factor analyses conducted on both an initial sample (N = 874) and a community sample (N = 138) resulted
in the Cues for Sexual Desire Scale (CSDS) which included four factors: (i) Emotional Bonding Cues; (ii) Erotic/
Explicit Cues; (iii) Visual/Proximity Cues; and (iv) Implicit/Romantic Cues.
Main Outcome Measures. Scale construction of cues associated with sexual desire and differences between women
with and without sexual dysfunction.
Results. The CSDS demonstrated good reliability and validity and was able to detect significant differences between
women with and without HSDD. Results from regression analyses indicated that both marital status and level of
sexual functioning predicted scores on the CSDS. The CSDS provided predictive validity for the Female Sexual
Function Index desire and arousal domain scores, and increased cues were related to a higher reported frequency
of sexual activity in women.
Conclusions. The findings from the present study provide valuable information regarding both internal and external
triggers that can result in sexual desire for women. We believe that the CSDS could be beneficial in therapeutic
settings to help identify cues that do and do not facilitate sexual desire in women with clinically diagnosed desire
difficulties. McCall K, and Meston C. Cues resulting in desire for sexual activity in women. J Sex Med
2006;3:838–852.
Key Words. Sexual Desire; Female Sexual Dysfunction
Introduction
sing a random probability sample, Laumann,
Paik, and Rosen [1] reported that concerns
regarding sexual desire are the largest sexual prob-
lem among women in the United States. In this
sample of 1,486 women, approximately 32% of the
women reported a lack of sexual interest. Although
the statistics based on clinical samples of women
reporting to sexual health clinics and/or gyneco-
logic offices generally report somewhat lower esti-
mates of sexual desire problems; the incidence of
these concerns is still high [2–5]. Despite the high
U
prevalence of sexual desire concerns, there are
currently no empirically validated treatments for
hypoactive sexual desire disorder (HSDD) [6]. To
date, evidence from clinical and research reports
suggests that sexual desire problems are relatively
difficult to treat and efforts to treat HSDD have
often provided inconsistent results [7–9]. It is fea-
sible that these inconsistencies could, in part, be
accounted for by the highly complex and individ-
ualized nature of factors that facilitate and result
in desire for sexual activity in women.
Reports from clinicians involved in the treat-
ment of sexual desire concerns often include dis-
Cues Resulting in Desire for Sexual Activity 839
J Sex Med 2006;3:838852
cussions of both internal and external triggers or
cues that result in sexual desire. Based on his
20 years of psychiatry experience, Levine [10] pro-
posed a list of 11 stimuli that result in sexual
desire, including: (i) psychological intimacy; (ii)
falling in love; (iii) viewing, reading about, or lis-
tening to people having explicitly described enjoy-
able sex; (iv) viewing, reading about, or listening
to a romantic sequence between two personally
appealing people; (v) invoking a fantasy that has
been reliably erotic in the past; (vi) wanting to be
pregnant; (vii) low doses of street drugs; (viii)
enlightenment; (ix) repairing a recently troubled
relationship; (x) reclaiming an errant lover; and
(xi) alleviation from a previous form of sexual dys-
function. Consistent with Levine’s perspectives,
in their book, “Reclaiming Desire,” Goldstein
and Brandon [11] discuss the importance of one’s
receptivity to sexual cues in order to ignite feelings
of sexual desire. Throughout the book, Goldstein
and Brandon discuss various clinical vignettes in
which external cues (e.g., romantic or erotic sexual
escapades, provocative clothing, sexy music, swim-
ming naked) were crucial in eliciting feelings of
sexual desire. In Leiblum and Sachs’s book, Getting
the Sex you Want [12], the authors suggest many
external solutions for women with low sexual
desire, such as using sex toys or pornography, and
engaging in masturbation or sexual visualization.
They also discuss how certain music, tastes, and
scents can create feelings of sexual desire for some
women. Leiblum and Sachs acknowledge the indi-
vidualized nature of sexual desire by encouraging
women to experiment with many of these external
resources to determine “what works for them.” In
Pridal and LoPiccolo’s [13] multielement treat-
ment of sexual desire disorders, they propose a
behavioral intervention stage labeled as “drive
induction” which involves assigning couples to
attend to and record sexual cues in a “desire diary.”
The aim of this phase of treatment is to raise
awareness of sexual cues and to implement behav-
ioral interventions in which individuals attempt to
increase exposure to these cues or stimuli.
Little empirical research has focused specifically
on sexual desire cues. Exceptions include studies
examining the relation between misjudgment of
sexual cues and sexually aggressive behavior [14–
16] and a study by Regan and Berscheid [17] that
investigated potential gender differences in the
beliefs about the causes of sexual desire. In this
study, participants were given a broad definition of
sexual desire and asked to answer a series of open-
ended questions regarding their beliefs about the
causal antecedents of sexual desire. Results indi-
cated that women more than men viewed sexual
desire as caused by external factors (e.g., social or
physical environment, relationship factors). Inter-
estingly, both men and women believed that female
sexual desire was caused by interpersonal factors
(e.g., feeling of love) and physical environmental
factors (e.g., romantic setting), whereas male sexual
desire was caused by intraindividual factors (e.g.,
“maleness”) and erotic factors (e.g., porn media).
A number of validated questionnaires have been
created to assess levels of sexual desire in women
(e.g., [18,19]), but to our knowledge, there are no
validated measures intended for the assessment of
cues that result in sexual desire. A questionnaire
of this nature could be useful for both clinicians
and researchers, because it considers the contex-
tual nature of sexual desire and it draws attention
to potential individual differences in the various
factors that can contribute to sexual desire.
The overall aim of the present study was to
create a multidimensional assessment tool of cues
associated with sexual desire in women. Specifi-
cally, we hoped to empirically categorize stimuli
associated with sexual desire and to validate this
assessment tool in a clinical population of women
with female sexual dysfunction (FSD), in particu-
lar, women with HSDD.
Initial Methods
Phase I: Initial Item Generation and Factor Analyses
Fifty women (age range 18–67 years) were in-
volved in the item generation stage. Participants
were recruited from community volunteers and
students enrolled in a human sexuality course at
the University of Texas. Participants were asked
the following open-ended prompt, “What makes
you desire sexual activity?” Sexual activity was
defined as “kissing, petting, oral sex, intercourse,
and/or masturbation.” Participants were encour-
aged to list as many responses as possible. Over-
lapping responses were combined and yielded a
total of 125 items.
The 125 generated items (see Appendix 1) were
listed using a conventional questionnaire format
with each item presented as a brief descriptive
statement to which respondents rated the likeli-
hood that a given item would make them desire
sexual activity. The response choices were listed
on a 5-point Likert scale, with scale interval
anchors being: Not at all likely (1), Somewhat likely
(2), Moderately likely (3), Ve ry likely (4), and
Extremely likely (5). This 125-item questionnaire,
840 McCall and Meston
J Sex Med 2006;3:838852
a demographics questionnaire, and several other
measures not relevant to the current study were
administered to 874 females. Participants included
students at the University of Texas and community
volunteers. Sixty-four percent of the subjects iden-
tified themselves as Caucasian, 6% as African
American, 16% as Hispanic, 13% as Asian, and
1% as other. Subjects ranged in age from 17 to
72 years (mean = 21 years, SD = 7 years). The
questionnaires were administered to small groups
of women, and a female research assistant was
available to answer any potential questions. To
help ensure confidentiality and anonymity, female
respondents were asked to seal their completed
questionnaires in a blank envelope and then
deposit it into a large “drop box” containing
numerous other identical envelopes.
We completed a factor analysis based on prin-
cipal components extraction followed by oblique
rotation to simple structure via the Direct
Oblimin method. Upon inspection of the corre-
sponding screen plot, we extracted four factors
with eight values exceeding a value of one. All
factor loadings were to be limited to values >0.40.
Factor 1 initially included 31 items that loaded
greater than 0.40. Fifteen items were eliminated
because of high inter-item correlations (>0.60),
three items were eliminated for theoretical rea-
sons, and three items were eliminated because they
cross-loaded on two or more factors. Factor 2 ini-
tially included 34 items that loaded greater than
0.40. Seventeen items were eliminated because of
high inter-item correlations (>0.60), six items were
eliminated for theoretical reasons, and one item
was eliminated because it cross-loaded on two or
more factors. Factor 3 initially included 24 items
that loaded greater than 0.40. Nine items were
eliminated because of high inter-item correlations
(>0.60), four items were eliminated for theoretical
reasons, and one item was eliminated because it
cross-loaded on two or more factors. Factor 4 ini-
tially included 19 items that loaded greater than
0.40. Six items were eliminated because of high
inter-item correlations (>0.60), two items were
eliminated for theoretical reasons, and one item
was eliminated because it cross-loaded on two or
more factors. In an effort to derive a more concise
measure, several items that had high inter-item
correlations and similar meaning/wording were
collapsed into single items. The resulting 40-item
scale included four factors (10 items within each)
and was labeled the Cues for Sexual Desire Scale
(CSDS). The factors of the CSDS were described
as: Emotional Bonding Cues, Erotic/Explicit
Cues, Visual/Proximity Cues, and Romantic/
Implicit Cues. See Table 1 for a list of final scale
items and factor loadings; see Appendix 2 for the
final version of the CSDS.
Phase II: Validation on a Community Sample of
Women with FSD and Age-Matched Controls
Procedure
Participants were recruited through local radio
and newspapers advertisements and were paid
$50.00 for participation in the study. Inclusion
criteria included: age between 18 and 70 years, and
current involvement in a stable, sexually active
relationship. Participants who met these criteria
completed interviews with a trained female clini-
cian to determine whether or not they met Diag-
nostic and Statistical Manual (DSM-IV-TR) [20]
criteria for any of the following sexual dysfunc-
tions: HSDD, female sexual arousal disorder
(FSAD), female orgasmic disorder (FOD), dys-
pareunia, vaginismus, or sexual aversion disorder.
Measures
Participants completed a basic participant infor-
mation questionnaire, the Female Sexual Function
Index (FSFI) [18], the Beck Depression Inventory
(BDI) [21], and additional measures not relevant
to the present study (for details, see Meston [22]).
In addition to asking about basic demographic
information (e.g., age, education, ethnicity, and
income), our participant information question-
naire also included questions regarding marital
status (single vs. married vs. divorced), whether
women had children (Yes or No), whether women
were taking antidepressants or contraceptives
(Yes or No), and frequency of sexual activity. Fre-
quency of sexual activity was assessed through the
following question “How often do you engage in
sexual activity?” Answer choices included: “less
than once per month,” “1–2 times per month,”
“1–2 times per week,” “3–4 times per week,” and
“more than 4 times per week.”
The FSFI was used to assess current levels of
sexual function. The FSFI is composed of 19 items
divided into factor-analytic derived subscales:
desire (two items), arousal (four items), lubrication
(four items), orgasm (three items), satisfaction
(three items), and pain (three items). In a recent
article, Wiegel, Meston, and Rosen [23] reported
internal consistency within each subscale to reflect
values in an acceptable range (Cronbach’s alpha =
0.82–0.98). Rosen et al. [18] reported inter-item
reliability values within the acceptable range for
sexually healthy women (Cronbach’s alpha = 0.82–
Cues Resulting in Desire for Sexual Activity 841
J Sex Med 2006;3:838852
0.92), as well as for women with diagnosed FSAD
(Cronbach’s alpha = 0.89–0.95). Test–retest reli-
abilities assessed using a 4-week interval ranged
between Pearson’s r = 0.79–0.86 [18]. Addition-
ally, Weigel, Meston, and Rosen [23] provided
strong evidence of discriminant validity between
women with and without sexual dysfunction for
FSFI total score and each subscale score, although
a high degree of overlap was present across various
diagnostic groups.
The BDI is the most widely used instrument to
assess severity of depressive symptoms. The BDI
is a 21-item questionnaire with well-published
reliability and validity [21]. Past studies using the
BDI have reported that scores above 16 are spe-
cific to major depression [24].
Participants
Data from 138 women were included in the
present analysis. Sixty-three women did not meet
DSM-IV-TR [20] criteria for HSDD, FSAD,
FOD, dyspareunia, vaginismus, or sexual aversion
disorder. These women were considered sexually
healthy controls and had a mean age of 26.1 years
Table 1 Phase I factor analysis of the 40-item CSDS in initial sample
Item
Factors
1234
Emotional Bonding Cues
1. Feeling a sense of love with a partner 0.81
2. Feeling a sense of security in your relationship 0.77
3. Your partner is supportive of you 0.86
4. Your partner does “special” or “loving” things for you 0.73
5. Feeling a sense of commitment from a partner 0.77
6. Your partner expresses interest in hearing about you 0.68
7. Talking about the future with your partner 0.62
8. Feeling protected by a partner 0.40
9. Experiencing emotional closeness with a partner 0.45
10. Feeling protective of a partner 0.54
Explicit/Erotic Cues
1. Watching an erotic movie 0.82
2. Reading about sexual activity (e.g., pornographic magazine) 0.73
3. Watching or listening to other people engage in sexual behavior/activity 0.73
4. Talking about sexual activity or “talking dirty” 0.71
5. Watching a strip tease 0.66
6. Sensing your own or your partner’s wetness, lubrication, or erection 0.69
7. Asking for or anticipating sexual activity 0.64
8. Hearing your partner tell you that he or she fantasized about you 0.61
9. Having a sexual fantasy (e.g., having a sexual dream, daydreaming) 0.61
10. You experience genital sensations (e.g., increased blood flow to genitals) 0.57
Visual/Proximity Cues
1. Seeing someone who is well-dressed or “has class” 0.58
2. Seeing/talking with someone powerful 0.66
3. Being in close proximity with attractive people 0.57
4. Seeing/talking with someone famous 0.63
5. Seeing a well-toned body 0.52
6. Seeing/talking with someone wealthy 0.64
7. Watching someone engage in physical activities (e.g., sports) 0.52
8. Seeing someone act confidently 0.44
9. Seeing/talking with someone intelligent 0.50
10. Flirting with someone or having someone flirt with you 0.50
Romantic/Implicit Cues
1. Whispering into your partner’s ear/having your par tner whisper into your ear 0.61
2. Dancing closely 0.59
3. Watching a sunset 0.47
4. Having a romantic dinner with a partner 0.48
5. Watching a romantic movie 0.46
6. Being in a hot tub 0.50
7. Touching your partner’s hair or face 0.54
8. Giving or receiving a massage 0.52
9. Laughing with a romantic partner 0.45
10. Smelling pleasant scents (e.g., perfume/cologne, shampoo, aftershave) 0.40
Factor loadings <0.40 have been suppressed. All factor loadings are absolute values.
CSDS = Cues for Sexual Desire Scale.
842 McCall and Meston
J Sex Med 2006;3:838852
(SD = 7.6 years, range = 18–53 years). Seventy-
five women met criteria for some form of FSD and
had a mean age of 28.6 years (SD = 8.7 years,
range = 18–51 years). Thirty-two (23.1%) of these
women met criteria for FSAD, 30 (21.7%) met
criteria for HSDD, 48 (34.7%) met criteria for
FOD, and seven (5%) met criteria for a sexual pain
disorder. Thirty-two (23.2%) of the women with
FSD met criteria for more than one sexual dys-
function (FSAD and HSDD, N = 3; FSAD and
FOD, N = 8; FSAD and pain, N = 1; HSDD and
FOD, N = 10; FSAD, HSDD, and FOD, N = 8;
FSAD, FOD, and pain, N = 2).
Participant characteristics are reported in
Table 2. These participants represent a subset of
the women who participated in a FSFI validation
study by Meston [22]. An independent samples t-
test revealed that there were no significant age
differences between sexually healthy women and
women with FSD, t (2, 136) = 1.74, P = 0.09.
Women with FSD had significantly higher scores
on the BDI as compared with sexually healthy
women, t (2, 136) = 2.83, P = 0.006. Consistent
with this finding, likelihood ratios indicated that
women with FSD were more likely to be currently
taking antidepressant medication as compared
with sexually healthy controls, LR (1) = 5.53,
P = 0.02. Results from likelihood ratios also indi-
cated that women with FSD were more likely to
have reported having children as compared with
Table 2 Phase II participant characteristics
FSD
N = 75
Controls
N = 63 P value
Age 0.09
Mean (±SEM) 28.56 (8.7) 26.13 (7.6)
Range 18–51 18–53
BDI 0.006
Mean (±SEM) 10.39 (6.9) 7.17 (5.4)
Range 0–30 0–22
Ethnicity N (%) 0.77
Caucasian 55 (73.3) 44 (69.8)
African American 3 (4.0) 2 (3.2)
Hispanic 12 (16.0) 9 (14.3)
Asian 3 (4.0) 6 (9.5)
Other 2 (2.7) 2 (3.2)
Education N (%) 0.58
High school/GED 13 (17.3) 6 (9.5)
2 years of college 28 (37.3) 25 (39.7)
4 years of college 27 (36.0) 24 (38.1)
Graduate school 7 (9.3) 8 (12.7)
Annual income N (%) 0.99
<50,000 47 (62.7) 40 (63.5)
50,000–100,000 16 (21.3) 13 (20.6)
>100,000 12 (16.0) 10 (15.9)
Marital status N (%) 0.15
Married 15 (20.0) 7 (11.1)
Divorced or single 60 (80.0) 56 (88.9)
Have children (% Yes) 18 (25.4) 5 (9.3) 0.02
Birth control use (% Yes) 54 (72.0) 48 (76.2) 0.58
Antidepressant use (% Yes) 8 (11.0) 1 (1.6) 0.02
Frequency of sexual activity 0.09
<once per month 0 (0.0) 1 (1.6) 0.10
1–2 per month 11 (14.7) 7 (11.1)
1–2 per week 43 (57.3) 27 (42.9)
3–4 per week 17 (22.7) 17 (27.0)
>4 per week 4 (5.3) 11 (17.5)
FSFI domain scores* (mean ± SEM)
Desire 3.9 (0.99) 4.4 (0.88) 0.002
Arousal 4.3 (1.1) 5.2 (0.75) <0.001
Lubrication 4.6 (1.5) 5.4 (0.75) <0.001
Orgasm 3.8 (1.6) 5.2 (1.0) <0.001
Pain 5.1 (1.3) 5.8 (0.58) <0.001
Satisfaction 4.3 (1.3) 4.9 (1.1) 0.01
Total 26.2 (4.6) 30.9 (3.3) <0.001
The FSFI scores reported here were included in the calculation of the FSFI scores reported in Meston [22].
*Higher scores represent higher levels of function for all domains except pain.
FSD = female sexual dysfunction; BDI = Beck Depression Inventory; GED = general educational development; FSFI = Female Sexual Function Index.
Cues Resulting in Desire for Sexual Activity 843
J Sex Med 2006;3:838852
sexually healthy controls, LR (1) = 5.64, P = 0.02.
Likelihood ratios indicated that the two groups
did not significantly differ on race/ethnicity, LR
(4) = 1.83, P = 0.77; contraceptive use, LR (1) =
0.31, P = 0.58; or marital status, LR (1) = 2.07,
P = 0.15. Results from chi-squared analyses indi-
cated the groups did not differ significantly on
annual income, χ (2) = 0.01, P = 0.99; reported
frequency of sexual activity, χ (4) = 7.83, P = 0.10;
and educational background, χ (3) = 1.96, P =
0.58. Univariate ANOVAs revealed significant
differences in FSFI domain and total scores
between women with FSD and sexually healthy
women. That is, women with FSD reported lower
levels of desire, F (1, 137) = 10.15, P = 0.002;
arousal, F (1, 137) = 29.36, P < 0.001; lubrication,
F (1, 137) = 16.06, P < 0.001; orgasm, F (1, 137)
= 37.05, P < 0.001; satisfaction, F (1, 137) = 6.81,
P = 0.01; higher levels of sexual pain, F (1, 137)
= 12.83, P < 0.001; and overall FSFI total scores,
F (1, 137) = 44.26, P < 0.001 (see Table 2).
Phase II: Confirmatory Factor Analyses
Based on our Phase I factor analysis results, we
expected that a confirmatory factor analysis would
demonstrate a clear, four-factor structure. To eval-
uate this, using the data from the 138 women
included in our community sample, we conducted
a principal components analysis on the 40 items,
extracting four factors, and rotating the factors to
oblique simple structure via the Direct Oblimin
method. Item loadings of the resulting four factors
are presented in Table 3. All four factors closely
replicated those obtained in Phase I with the
exception of one item from Factor 3 (i.e., “Seeing
someone act confidently”) which cross-loaded
onto Factor 1 (i.e., 0.51 on Factor 3 vs. 0.47 on
Factor 1). See Table 3.
Intercorrelations
Separate values to represent the four factors of
Emotional Bonding Cues, Erotic/Explicit Cues,
Visual/Proximity Cues, and Romantic/Implicit
Cues were scored by taking an average of the
responses to the 10 constituent items assigned to
each factor. Intercorrelations among the resulting
four factor values are presented in Table 4 sepa-
rately for Phase I initial sample (N = 874); and
Phase II full community sample (N = 138), sexu-
ally healthy controls from the community sample
(N = 63), the combined group of women with
FSD from the community sample (N = 75), and
women with HSDD from the community sample
(N = 30). Most notably, correlations between Emo-
tional Bonding Cues and Romantic/Implicit Cues
were high in magnitude for all subsamples of
FSD and sexually healthy women (all rs > 0.64).
Also noteworthy, correlations between Emotional
Bonding Cues and Visual/Proximity Cues and
correlations between Erotic/Explicit Cues and
Visual/Proximity Cues indicated moderate rela-
tionships (range of 0.37–0.59) in all groups, except
for women with HSDD. In this group of women,
correlations between these factors were lower,
r = 0.16 and r = 0.13, respectively (see Table 4).
Reliability
Cronbach’s coefficient alphas for the four factors
of the CSDS are presented in Table 5 for the
Phase I initial sample (N = 874) and the Phase II
full community sample (N = 138). All alphas were
>0.78 for both samples.
Discriminant Validity
The ability of the CSDS to differentiate between
sexually healthy women and women with FSD,
and between sexually healthy women and a subset
of FSD women with a specific diagnosis of HSDD
was assessed by comparing the mean responses of
these women on each of the four factors and the
total scale of the CSDS. Results from between-
group (HSDD vs. Controls) ANOVAs revealed
significant differences between sexually healthy
women and women with HSDD on all four factors
and total score of the CSDS. Between-group
ANOVAs that compared sexually healthy women
and women with FSD revealed significant differ-
ences between groups on the CSDS total score,
but there were no significant differences between
groups for each factor of the CSDS. It is important
to note that for all four factors and total score of
the CSDS, women in the HSDD group had the
lowest scores, sexually healthy controls had the
highest scores, and women in the FSD combined
group score values were between these two groups
(See Table 6 for means (±SD) for each individual
item, factor, and total scores of CSDS by partici-
pant group).
Concurrent/Divergent Validity
Concurrent validity was assessed by calculating
relations between the four factor scores and the
total score of the CSDS with the FSFI desire
domain scores for women with HSDD (N = 30).
Correlational results indicated that, although the
two scales are related, they clearly do not measure
the same construct (range in Pearson’s correlation
coefficients = 0.10–0.24, with none reaching sta-
tistical significance).
844 McCall and Meston
J Sex Med 2006;3:838852
Predictors of Sexual Desire Cues
Predictors of how women scored on the different
factors of the CSDS were examined using simple
linear regression analyses. The examined predic-
tor variables included: age, level of sexual dysfunc-
tion (FSFI total scores), marital status (single/
divorced vs. married), having children (Yes/No),
and depressive symptomology (BDI scores).
Age, depressive symptomology, and whether a
woman had children were not significant predic-
tors of the CSDS total score or any of the indi-
vidual factor scores. Level of sexual functioning
significantly predicted Factor 1 (i.e., Emotional
Bonding Cues), Factor 2 (Erotic/Explicit Cues),
Factor 4 (Romantic/Implicit Cues), and total
scores of the CSDS. That is, women with higher
sexual function scores had higher scores for Fac-
tors 1, 2, and 4 and total score of the CSDS (all
ts 2.28, all Ps 0.03). Additionally, marital status
significantly predicted Factor 1 and total scores of
the CSDS. Specifically, unmarried women indi-
cated higher scores for Emotional/Bonding Cues
and total score values for the CSDS. For further
details, see Table 7.
Table 3 Phase II confirmatory factor analysis of the 40-item CSDS in a community sample
Item
Factors
1234
Emotional Bonding Cues
1. Feeling a sense of love with a partner 0.75
2. Feeling a sense of security in your relationship 0.76
3. Your partner is supportive of you 0.79
4. Your partner does “special” or “loving” things for you 0.70
5. Feeling a sense of commitment from a partner 0.89
6. Your partner expresses interest in hearing about you 0.66
7. Talking about the future with your partner 0.66
8. Feeling protected by a partner 0.56
9. Experiencing emotional closeness with a partner 0.49
10. Feeling protective of a partner 0.62
Explicit/Erotic Cues
1. Watching an erotic movie 0.76
2. Reading about sexual activity (e.g., pornographic magazine) 0.75
3. Watching or listening to other people engage in sexual behavior/activity 0.83
4. Talking about sexual activity or “talking dirty” 0.65
5. Watching a strip tease 0.57
6. Sensing your own or your partner’s wetness, lubrication, or erection 0.59
7. Asking for or anticipating sexual activity 0.55
8. Hearing your partner tell you that he or she fantasized about you 0.68
9. Having a sexual fantasy (e.g., having a sexual dream, daydreaming) 0.66
10. You experience genital sensations (e.g., increased blood flow to genitals) 0.43
Visual/Proximity Cues
1. Seeing someone who is well-dressed or “has class” 0.65
2. Seeing/talking with someone powerful 0.76
3. Being in close proximity with attractive people 0.71
4. Seeing/talking with someone famous 0.69
5. Seeing a well-toned body 0.59
6. Seeing/talking with someone wealthy 0.78
7. Watching someone engage in physical activities (e.g., sports) 0.51
8. Seeing someone act confidently 0.47 0.51
9. Seeing/talking with someone intelligent 0.61
10. Flirting with someone or having someone flirt with you 0.62
Romantic/Implicit Cues
1. Whispering into your partner’s ear/having your partner whisper into your ear 0.62
2. Dancing closely 0.73
3. Watching a sunset 0.60
4. Having a romantic dinner with a partner 0.68
5. Watching a romantic movie 0.63
6. Being in a hot tub 0.61
7. Touching your partner’s hair or face 0.52
8. Giving or receiving a massage 0.71
9. Laughing with a romantic partner 0.57
10. Smelling pleasant scents (e.g., perfume/cologne, shampoo, aftershave) 0.51
Factor loadings which are inconsistent with those from Phase I have been placed in italics.
CSDS = Cues for Sexual Desire Scale.
Cues Resulting in Desire for Sexual Activity 845
J Sex Med 2006;3:838852
Predictive Validity of CSDS
To begin examining the predictive validity of the
CSDS, we conducted simple linear regression
analyses using all four factor scores of the CSDS
as predictor variables and FSFI desire and arousal
domain scores as outcome variables. Additionally,
separate univariate ANOVAs were conducted using
each CSDS factor score as the dependent variable
and frequency of sexual activity as the independent
variable. In particular, we were interested in
whether these cues for sexual desire predicted the
frequency of sexual activity, frequency and degree
of sexual interest or desire, and frequency and
degree feelings of being sexually aroused.
Factor 2 (i.e., Erotic/Explicit Cues) and Factor
4 (i.e., Implicit/Romantic Cues) both significantly
predicted FSFI desire domain scores and FSFI
arousal domain scores, whereas Factors 1 (i.e.,
Emotional Bonding Cues) and Factor 3 (i.e.,
Visual/Proximity Cues) did not significantly pre-
dict either FSFI desire or arousal domain scores
(see Table 8). Univariate ANOVAs revealed that
the four factors and total score of the CSDS also
predicted frequency of sexual activity, F (4,
134) = 2.67, P = 0.04, F (4, 134) = 3.28, P = 0.01,
F (4, 134) = 1.37, P = 0.07, F (4, 134) = 3.18,
P = 0.01, F (1, 134) = 3.46, P = 0.01, respectively,
for Factors 1, 2, 3, 4, and total score of the
CSDS. Examination of the means showed that as
cues for sexual desire increased, reported fre-
quency of sexual activity generally increased as
well.
Table 4 CSDS factor intercorrelations
Emotional
Bonding Cues
Erotic
Explicit Cues
Visual/
Proximity Cues
Romantic/
Implicit Cues
Initial sample (N = 874)
Emotional Bonding Cues 1.00 0.37 0.57 0.66
Erotic Explicit Cues 1.00 0.41 0.51
Visual/Proximity Cues 1.00 0.57
Romantic/Implicit Cues 1.00
Full community sample (N = 138)
Emotional Bonding Cues 1.00 0.31** 0.44** 0.67**
Erotic Explicit Cues 1.00 0.37** 0.41**
Visual/Proximity Cues 1.00 0.44**
Romantic/Implicit Cues 1.00
Community sample, controls only (N = 63)
Emotional Bonding Cues 1.00 0.17** 0.48** 0.64**
Erotic Explicit Cues 1.00 0.35** 0.28**
Visual/Proximity Cues 1.00 0.38**
Romantic/Implicit Cues 1.00
Community sample, all FSD women (N = 75)
Emotional Bonding Cues 1.00 0.40** 0.39** 0.68**
Erotic Explicit Cues 1.00 0.38** 0.51**
Visual/Proximity Cues 1.00 0.48**
Romantic/Implicit Cues 1.00
Community sample, HSDD women only (N = 30)
Emotional Bonding Cues 1.00 0.35** 0.16** 0.71**
Erotic Explicit Cues 1.00 0.13** 0.33**
Visual/Proximity Cues 1.00 0.27**
Romantic/Implicit Cues 1.00
**Correlation is significant at the 0.01 level (two-tailed).
CSDS = Cues for Sexual Desire Scale; FSD = female sexual dysfunction; HSDD = hypoactive sexual desire disorder.
Table 5 CSDS factor reliability
Factor
Initial
sample
N = 874
Full community
sample
N = 139
Community sample,
HSDD women only
N = 30
Community sample,
all FSD women
N = 75
Community sample,
control women only
N = 63
Emotional Bonding Cues 0.91 0.92 0.92 0.93 0.90
Erotic Explicit Cues 0.90 0.87 0.78 0.86 0.87
Visual/Proximity Cues 0.87 0.87 0.87 0.88 0.87
Romantic/Implicit Cues 0.86 0.88 0.88 0.88 0.89
Cronbach’s alpha (range = 1.00 to +1.00).
CSDS = Cues for Sexual Desire Scale.
846 McCall and Meston
J Sex Med 2006;3:838852
Discussion
The purpose of the present study was to create a
multidimensional assessment of cues associated
with sexual desire in women. The resulting 40-
item CSDS provided four distinct factors that
highlight different clusters of cues associated with
female sexual desire. These factors were labeled as:
(i) Emotional Bonding Cues; (ii) Erotic/Explicit
Cues; (iii) Visual/Proximity Cues; and (iv) Implicit/
Romantic Cues. The CSDS reflected validity by
successfully demonstrating predictable differences
between women with and without HSDD.
A secondary analysis was conducted to examine
whether specific individual characteristics of the
women in our sample predicted their CSDS total
score and/or individual factor scores. Variables
which were examined included: age, level of sexual
Table 6 CSDS discriminant validity
Item
HSDD
(N = 30)
mean
(±SD)
Controls
(N = 62)
mean
(±SD)
FSD combined
(N = 72)
mean
(±SD)
Emotional Bonding Cues 2.65 (0.88)* 3.10 (0.84)2.86 (0.95)
1. Feeling a sense of love with a partner 2.80 (1.22) 3.50 (1.18) 3.17 (1.26)
2. Feeling a sense of security in your relationship 2.40 (1.30) 3.05 (1.27) 2.67 (1.33)
3. Your partner is supportive of you 3.00 (1.19) 3.37 (1.32) 3.16 (1.25)
4. Your partner does “special” or “loving” things for you 2.73 (1.08) 3.27 (1.01) 2.99 (1.13)
5. Feeling a sense of commitment from a partner 2.46 (1.32) 2.89 (1.18) 2.67 (1.36)
6. Your partner expresses interest in hearing about you 2.30 (1.12) 2.94 (1.10) 2.63 (1.26)
7. Talking about the future with your partner 1.93 (0.86) 2.54 (1.20) 2.27 (1.11)
8. Feeling protected by a partner 2.63 (1.25) 2.81 (1.09) 2.65 (1.25)
9. Experiencing emotional closeness with a partner 3.60 (1.19) 4.27 (0.85) 3.92 (1.09)
10. Feeling protective of a partner 2.03 (1.10) 2.18 (1.27) 2.11 (1.21)
Explicit/Erotic Cues 3.31 (0.65)* 3.78 (0.80)3.63 (0.77)
1. Watching an erotic movie 3.20 (1.16) 3.32 (1.46) 3.35 (1.27)
2. Reading about sexual activity (e.g., pornographic magazine) 3.32 (1.06) 3.43 (1.42) 3.27 (1.26)
3. Watching or listening to other people engage in sexual behavior/activity 2.86 (1.30) 3.21 (1.39) 3.19 (1.35)
4. Talking about sexual activity or “talking dirty” 3.07 (1.14) 3.76 (1.14) 3.56 (1.18)
5. Watching a strip tease 2.79 (1.37) 2.67 (1.23) 3.04 (1.32)
6. Sensing your own or your partner’s wetness, lubrication, or erection 3.48 (0.87) 4.41 (0.87) 3.97 (0.94)
7. Asking for or anticipating sexual activity 3.57 (0.94) 4.49 (0.78) 4.00 (0.97)
8. Hearing your partner tell you that he or she fantasized about you 3.11 (1.20) 4.06 (1.13) 3.53 (1.23)
9. Having a sexual fantasy (e.g., having a sexual dream, daydreaming) 3.57 (1.00) 3.87 (1.04) 3.78 (1.06)
10. You experience genital sensations (e.g., increased blood flow to genitals) 3.93 (1.02) 4.60 (0.75) 4.37 (0.84)
Visual/Proximity Cues 1.94 (0.75)* 2.27 (0.80)2.09 (0.79)
1. Seeing someone who is well-dressed or “has class” 1.67 (1.09) 1.94 (1.05) 1.80 (1.16)
2. Seeing/talking with someone powerful 1.60 (0.89) 2.02 (1.25) 1.85 (1.21)
3. Being in close proximity with attractive people 2.33 (1.32) 2.63 (1.30) 2.59 (1.29)
4. Seeing/talking with someone famous 1.50 (0.92) 1.65 (0.92) 1.58 (1.03)
5. Seeing a well-toned body 2.23 (1.22) 2.68 (1.06) 2.44 (1.14)
6. Seeing/talking with someone wealthy 1.21 (0.63) 1.44 (0.78) 1.30 (0.76)
7. Watching someone engage in physical activities (e.g., sports) 1.96 (1.23) 2.22 (1.30) 2.03 (1.17)
8. Seeing someone act confidently 1.77 (1.07) 2.50 (1.29) 2.12 (1.21)
9. Seeing/talking with someone intelligent 2.39 (1.47) 2.79 (1.49) 2.60 (1.42)
10. Flirting with someone or having someone flirt with you 3.00 (1.09) 2.78 (1.29) 2.95 (1.08)
Romantic/Implicit Cues 2.59 (0.78)*3.11 (0.86)2.84 (0.80)
1. Whispering into your partner’s ear or having your partner whisper into your ear 2.40 (1.16) 3.35 (1.25) 2.72 (1.23)
2. Dancing closely 3.20 (1.10) 3.59 (1.09) 3.33 (1.08)
3. Watching a sunset 1.93 (1.02) 2.17 (1.17) 2.00 (0.96)
4. Having a romantic dinner with a partner 2.67 (1.06) 3.41 (1.15) 3.03 (1.13)
5. Watching a romantic movie 2.40 (1.10) 3.03 (1.20) 2.83 (1.23)
6. Being in a hot tub 2.77 (1.22) 3.37 (1.32) 3.25 (1.22)
7. Touching your partner’s hair or face 2.23 (1.28) 2.59 (1.20) 2.39 (1.16)
8. Giving or receiving a massage 3.21 (1.13) 3.67 (1.22) 3.40 (1.18)
9. Laughing with a romantic partner 2.30 (1.40) 2.56 (1.25) 2.40 (1.22)
10. Smelling pleasant scents (e.g., perfume, cologne, shampoo, aftershave) 2.67 (0.96) 3.37 (1.26) 3.00 (1.19)
CSDS total score 10.45 (2.16)*12.31 (2.45)11.45 (2.58)*
*Significant difference from controls.
Significant difference from HSDD.
Significant difference from FSD combined.
CSDS = Cues for Sexual Desire Scale; FSD = female sexual dysfunction; HSDD = hypoactive sexual desire disorder.
Cues Resulting in Desire for Sexual Activity 847
J Sex Med 2006;3:838852
dysfunction, marital status, having children, and
depressive symptomology. When all variables
were entered into one regression equation, a
woman’s age, having children, and depressive
symptomology did not predict scores on the
CSDS. This finding is particularly interesting
given that past research has often indicated that
age, having children, and depression are strongly
linked to sexual desire. For example, in Laumann,
Paik, and Rosen’s report [1], the prevalence of
sexual dysfunction decreased with increased age
for women (with the exception of vaginal lubrica-
tion concerns) and Cyranowski, Frank, Cherry,
Houck, and Kupfer [25] found a strong link
between depressive symptoms and sexual desire.
One possible explanation for these discrepant
findings could be related to a restricted range in
our sample. However, given that ages ranged from
18 to 53 years, BDI scores ranged from 0 to 30
and 23 of the 138 women in our sample had chil-
dren, it is unlikely that these differences could be
solely accounted for by a restricted range in our
data. It is possible, that although desire itself may
“wax and wane” throughout life and across situa-
tions, that cues that result in sexual desire may
reflect a more stable pattern.
Factors which did predict CSDS scores in-
cluded marital status and level of sexual function-
ing. Specifically, women with higher levels of
sexual dysfunction had lower scores on Factors 1,
2, and 4 and total score of the CSDS. The fact that
a woman’s level of sexual functioning was related
to cues for sexual desire seems intuitive as the
relative lack of cues for sexual desire could be
partly responsible and/or related to present sexual
concerns or problems. Additionally, married
women had lower scores for Emotional/Bonding
Cues and total score values for the CSDS as com-
pared with women who were unmarried. The
finding that married women endorsed fewer cues
for sexual desire is inconsistent with Laumann,
Paik, and Rosen’s [1] findings that unmarried
women had elevated rates of sexual problems as
compared with married women. It is possible that
as length of relationship increases, although sexual
desire increases, habituation to specific sexual cues
also occurs.
Also interesting to note, examination of domain
intercorrelations indicated that correlations
between Emotional Bonding Cues and Visual/
Proximity Cues and correlations between Erotic/
Explicit Cues and Visual/Proximity Cues were
lower for women with HSDD as compared with
all groups of women examined in this study. This
finding is theoretically interesting, as it suggests
that these constructs may be related to a lesser
degree in women with sexual desire problems.
Table 7 Simple linear regression for the prediction of the
CSDS
CSDS
Statistical Test
R2FB t P
Factor 1 0.06 2.56 0.03*
Age 0.02 0.19 0.85
Children 0.06 0.55 0.58
Marital status 0.23 2.36 0.02*
BDI total 0.17 1.68 0.10
FSFI total 0.23 2.28 0.03*
Factor 2 0.17 5.63 <0.001*
Age 0.18 1.85 0.07
Children 0.07 0.79 0.43
Marital status 0.03 0.33 0.75
BDI total 0.12 1.29 0.20
FSFI total 0.40 4.22 <0.001*
Factor 3 0.03 1.07 0.38
Age 0.08 0.77 0.44
Children 0.03 0.29 0.77
Marital status 0.09 0.94 0.35
BDI total 0.16 1.54 0.13
FSFI total 0.12 1.14 0.26
Factor 4 0.07 2.84 0.01*
Age 0.03 0.32 0.75
Children 0.01 0.12 0.91
Marital status 0.15 1.60 0.11
BDI total 0.02 0.21 0.84
FSFI total 0.30 3.00 0.003*
Factor total 0.11 3.93 0.003*
Age 0.08 0.84 0.40
Children 0.01 0.06 0.95
Marital status 0.17 1.86 0.05*
BDI total 0.16 1.58 0.19
FSFI total 0.34 3.48 0.001*
*Significant at the 0.05 level.
Factor 1 = Emotional Bonding Cues, Factor 2 = Erotic/Explicit Cues, Factor
3 = Visual/Proximity Cues, and Factor 4 = Romantic/Implicit Cues.
FSD = female sexual dysfunction; BDI = Beck Depression Inventory;
FSFI = Female Sexual Function Index.
Table 8 Linear regression results of predictive validity of
CSDS
Statistical Test
CSDS R2FBt P
FSFI desire domain 0.07 10.63 0.001*
CSDS Factor 1 0.05 0.49 0.624
CSDS Factor 2 0.31 3.42 0.001*
CSDS Factor 3 0.04 0.39 0.700
CSDS Factor 4 0.22 1.94 0.05*
FSFI arousal domain 0.04 6.80 0.01*
CSDS Factor 1 0.05 0.43 0.67
CSDS Factor 2 0.34 3.69 <0.001*
CSDS Factor 3 0.16 1.74 0.08
CSDS Factor 4 0.22 1.93 0.05*
*Significant at the 0.05 level.
Factor 1 = Emotional Bonding Cues, Factor 2 = Erotic/Explicit Cues, Factor
3 = Visual/Proximity Cues, and Factor 4 = Romantic/Implicit Cues.
CSDS = Cues for Sexual Desire Scale; FSFI = Female Sexual Function Index.
848 McCall and Meston
J Sex Med 2006;3:838852
An investigation of the predictive validity of the
CSDS indicated that although CSDS total scores
did predict FSFI desire and domain scores, inspec-
tion of each factor showed that only Factors 2 (i.e.,
Erotic/Explicit Cues) and 4 (i.e., Romantic/
Implicit Cues) significantly predicted FSFI desire
and arousal domain scores. Additionally, CSDS
total score and each factor score was related to
reported frequency of sexual activity, such that
women who indicated having more cues for sexual
desire were more likely to engage in more fre-
quent sexual activity.
In summary, findings from the present study
provide valuable information regarding both
internal and external triggers that can result in
sexual desire for women. In 1998, the Sexual
Function Health Council of the American Foun-
dation of Urologic Disease invited experts in the
field of sexual health to a consensus conference to
consider and discuss the diagnostic criteria being
used for FSDs [26]. Many researchers and clini-
cians felt that the DSM-IV [20] diagnostic catego-
ries being used for FSD were limited, and the
publications that have resulted from this meeting
and subsequent discussions (e.g., [26–29]) have
been an attempt to review and update the classi-
fication of female sexual problems. One of the
major modifications was in the conceptualization
of female sexual desire and the diagnostic criteria
for HSDD in women. The new conceptualization
of sexual desire emphasizes the importance of con-
sidering a woman’s receptivity to sexual stimuli, in
addition to her intrinsic or innate feelings of sexual
desire. This change was based on the observation
that the majority of women report infrequent
“spontaneous desire” [30–33] and because sexual
desire is frequently experienced only after expo-
sure to sexual stimuli [28]. Subsequently, sexual
interest/desire disorder was redefined as: “Absent
or diminished feelings of sexual interest or desire,
absent sexual thoughts or fantasies and a lack of
responsive desire,” whereas the “additional lack
of responsive desire is essential to the diagnosis of
dysfunction” [28]. Thus, concerns with low sexual
desire in women are currently being viewed more
as an inability to “trigger” or access desire when
sexual stimuli are present, as opposed to a lack of
spontaneous feelings of sexual desire. The present
article provides a comprehensive empiric catego-
rization of such triggers for sexual desire in
women.
The ongoing discussion regarding the concep-
tualization of female sexual desire dysfunction, as
well as the findings from the present study, draws
attention to the limitations of using the DSM-IV-
TR criteria for HSDD as entry criteria when
recruiting for clinical trials evaluating treatments
for low sexual desire in women. (For a review and
recommendations regarding outcome measure-
ments in clinical trials of FSD, see [34].)
Limitations of the present study worth noting
include the young age of women in the community
sample (mean age = 27.5 years, SD = 8.3 years)
and the relatively small sample size of women
with HSDD (N = 30). Given the prevalence of
reported changes in sexual desire for women
undergoing menopausal transition [35,36], we are
currently investigating the reliability and validity
of the CSDS in pre- and postmenopausal women
with and without diagnosed HSDD. If the find-
ings reported here are replicated, then we believe
the CSDS can be used to inform both researchers
and clinicians regarding how a particular woman
is attending and responding to sexual cues. In par-
ticular, we believe that the CSDS could be bene-
ficial in therapeutic settings to help identify cues
that do and do not facilitate sexual desire in
women with clinically diagnosed desire difficul-
ties. This knowledge would inform both the
patient and the clinician of specific areas to target
in attempting to enhance sexual desire.
Acknowledgments
This publication was made possible by Grant Number
5 RO1 AT00224-02 from the National Center for
Complementary and Alternative Medicine to the sec-
ond author. Its contents are solely the responsibility of
the authors and do not necessarily represent the views
of the National Center for Complementary and Alter-
native Medicine.
The authors wish to thank Greg Hixon for his assis-
tance with data analysis.
Corresponding Author: Katie McCall, MA, Univer-
sity of Texas at Austin—Clinical Psychology, 1 Univer-
sity Station Campus Mail Code: A8000 Austin TX
78712, USA. Tel: (512) 232-4805; Fax: (512) 471-5935;
E-mail: kmccall@mail.utexas.edu
Conflict of Interest: None declared.
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Appendix 1
Instructions:
Different factors cause different people to desire sexual activity (e.g., intercourse, kissing, oral sex,
petting, masturbation). Use the scale below to indicate what the likelihood is that each of the following
factors or cues would lead you to desire sexual activity.
12 3 45
Not at
all likely
Somewhat
likely
Moderately
likely
Very
likely
Extremely
likely
1Touching your par tner’s hair 1 2 3 4 5
2 Laughing with a romantic par tner 1 2 3 4 5
3 Dancing closely 1 2 3 4 5
4 Whispering into your partner’s ear 1 2 3 4 5
5 Nibbling on your partner’s neck 1 2 3 4 5
6 Seeing/talking with someone powerful 1 2 3 4 5
7 Engaging in competitive physical activity with a partner (i.e., tennis) 1 2 3 4 5
8 Engaging in competitive nonphysical activity with a partner
(i.e., Scrabble)
12 3 45
9Feeling protected by a partner 1 2 3 4 5
10 Achieving a success (e.g., promotion, good grade) 1 2 3 4 5
11 Experiencing emotional closeness with a partner 1 2 3 4 5
12 You experience genital sensations 1 2 3 4 5
13 Being in close proximity with attractive people 1 2 3 4 5
14 Talking about sexual activity 1 2 3 4 5
15 Having a romantic dinner with a partner 1 2 3 4 5
16 Being in a hot tub 1 2 3 4 5
17 Watching movies 1 2 3 4 5
18 Engaging in intercourse 1 2 3 4 5
19 Giving a massage 1 2 3 4 5
20 Being naked with someone of the opposite sex 1 2 3 4 5
21 Smelling pleasant scents (e.g., perfume/cologne, shampoo,
aftershave)
12 3 45
22 Receiving direct physical genital stimulation 1 2 3 4 5
23 Having a sexual dream 1 2 3 4 5
24 Seeing someone dressed provocatively 1 2 3 4 5
25 Touching your partner’s hair 1 2 3 4 5
26 Watching a sunset 1 2 3 4 5
27 Sharing a private smirk/grin 1 2 3 4 5
28 Seeing someone who is well-dressed or “has class” 1 2 3 4 5
29 Seeing a well-toned body 1 2 3 4 5
30 Talking about past shared experiences with a partner 1 2 3 4 5
31 Feeling like you look good 1 2 3 4 5
32 Anticipating sexual activity 1 2 3 4 5
33 Wearing sexy underwear 1 2 3 4 5
34 Holding hands 1 2 3 4 5
35 Reading a pornographic magazine 1 2 3 4 5
36 “Talking dirty” 1 2 3 4 5
37 Sensing your own/your partner’s erection 1 2 3 4 5
38 Seeing your par tner dressed up 1 2 3 4 5
39 Resolving a “heated” fight 1 2 3 4 5
40 Flirting with someone 1 2 3 4 5
41 Having someone flir t with you 1 2 3 4 5
42 Talking about the future with your partner 1 2 3 4 5
43 Watching a strip tease 1 2 3 4 5
44 Seeing/talking with someone famous 1 2 3 4 5
45 Soft kissing 1 2 3 4 5
46 Seeing/talking with someone wealthy 1 2 3 4 5
47 You experience increased blood flow to the genitals 1 2 3 4 5
48 Feeling a sense of connectedness 1 2 3 4 5
49 Being dressed up 1 2 3 4 5
Cues Resulting in Desire for Sexual Activity 851
J Sex Med 2006;3:838852
50 Alcohol consumption 1 2 3 4 5
51 Having a sexual fantasy (daydreaming) 1 2 3 4 5
52 Feeling lonely 1 2 3 4 5
53 Reading about sexual activity 1 2 3 4 5
54 Engaging in eye contact 1 2 3 4 5
55 Asking for sex or sexual activity 1 2 3 4 5
56 Listening to other people engage in sexual behavior/activity 1 2 3 4 5
57 Feeling a desire to have children 1 2 3 4 5
58 Getting high on drugs 1 2 3 4 5
59 Having your partner whisper into your ear 1 2 3 4 5
60 Dressing provocatively (you) 1 2 3 4 5
61 Feeling a sense of commitment from a par tner 1 2 3 4 5
62 Talking “baby talk” 1 2 3 4 5
63 Hearing your partner talking “baby talk” 1 2 3 4 5
64 Receiving gifts from your partner 1 2 3 4 5
65 Hearing a sexy voice 1 2 3 4 5
66 Engaging in oral sex 1 2 3 4 5
67 Engaging in risky sexual behavior (i.e., having sex in public) 1 2 3 4 5
68 Engaging in intimate conversation 1 2 3 4 5
69 Watching a romantic movie 1 2 3 4 5
70 Tickling each other 1 2 3 4 5
71 Play wrestling with your partner 1 2 3 4 5
72 Taking a walk with your partner 1 2 3 4 5
73 Having a picnic in the park with your partner 1 2 3 4 5
74 You experience an increased heart rate 1 2 3 4 5
75 Watching someone engage in physical activities (e.g., sports) 1 2 3 4 5
76 Watching your partner or helping your partner get dressed for
a “formal”
12 3 45
77 Watching other people engage in sexual behavior/activity 1 2 3 4 5
78 Hearing your partner tell you that he or she fantasized about you 1 2 3 4 5
79 Your partner does “special” things for you 1 2 3 4 5
80 Your partner is supportive of you 1 2 3 4 5
81 Reading a romance novel 1 2 3 4 5
82 Feeling strong emotions for your partner 1 2 3 4 5
83 Feeling anger 1 2 3 4 5
84 Receiving a massage 1 2 3 4 5
85 Engaging in masturbation 1 2 3 4 5
86 Lying against someone’s body 1 2 3 4 5
87 Being told you are loved 1 2 3 4 5
88 Engaging in playful behavior 1 2 3 4 5
89 Seeing/talking with someone intelligent 1 2 3 4 5
90 You have the “itch” 1 2 3 4 5
91 Saying “I love you” 1 2 3 4 5
92 Engaging in physical activity with your partner (i.e., running) 1 2 3 4 5
93 Having someone flatter you 1 2 3 4 5
94 You experience heavy breathing 1 2 3 4 5
95 When your par tner does “loving” things for you 1 2 3 4 5
96 Engaging in more “kinky” or creative sexual behavior than usual 1 2 3 4 5
97 Wearing no underwear (you) 1 2 3 4 5
98 Listening to poetry 1 2 3 4 5
99 Watching an erotic movie 1 2 3 4 5
100 Being in a fearful situation 1 2 3 4 5
101 Seeing your par tner after absence 1 2 3 4 5
102 Feeling calm and relaxed 1 2 3 4 5
103 Touching your partner’s genitals 1 2 3 4 5
104 Acting out fantasies 1 2 3 4 5
105 Feeling a sense of security in your relationship 1 2 3 4 5
106 Trying new sexual positions 1 2 3 4 5
107 Snuggling with your partner 1 2 3 4 5
108 Engaging in petting 1 2 3 4 5
109 Experiencing grief/trauma together 1 2 3 4 5
110 Deep kissing 1 2 3 4 5
111 Laying together 1 2 3 4 5
112 Seeing/talking with someone successful 1 2 3 4 5
113 Sharing a sense of humor 1 2 3 4 5
114 Engaging in heavy petting 1 2 3 4 5
115 Listening to someone talk intelligently 1 2 3 4 5
116 Feeling a sense of love with a partner 1 2 3 4 5
117 Receiving a love letter/card 1 2 3 4 5
118 Sending a love letter/card 1 2 3 4 5
12 3 45
Not at
all likely
Somewhat
likely
Moderately
likely
Very
likely
Extremely
likely
Appendix 1 Continued
852 McCall and Meston
J Sex Med 2006;3:838852
Appendix 2
Final Version of the Cues for Sexual Desire Scale (CSDS)
Instructions:
Different factors cause different people to desire sexual activity (e.g., intercourse, kissing, oral sex,
petting, masturbation). Use the scale below to indicate what the likelihood is that each of the following
factors or cues would lead you to desire sexual activity.
119 Seeing someone act confidently 1 2 3 4 5
120 Feeling jealous 1 2 3 4 5
121 Your partner expresses interest in hearing about you 1 2 3 4 5
122 Your partner takes charge of a problem situation 1 2 3 4 5
123 Winning a sports game 1 2 3 4 5
124 Feeling protective of a partner 1 2 3 4 5
125 Sensing your own/your partner’s wetness or lubrication 1 2 3 4 5
12 3 45
Not at
all likely
Somewhat
likely
Moderately
likely
Very
likely
Extremely
likely
1Feeling a sense of love with a partner 1 2 3 4 5
2 Seeing/talking with someone intelligent 1 2 3 4 5
3Watching an erotic movie 1 2 3 4 5
4 Smelling pleasant scents (e.g., perfume, cologne, shampoo, aftershave) 1 2 3 4 5
5Watching or listening to other people engage in sexual behavior/activity 1 2 3 4 5
6Your partner expresses interest in hearing about you 1 2 3 4 5
7 Seeing/talking with someone famous 1 2 3 4 5
8 Being in a hot tub 1 2 3 4 5
9 Experiencing emotional closeness with a partner 1 2 3 4 5
10 Asking for or anticipating sexual activity 1 2 3 4 5
11 Talking about the future with your par tner 1 2 3 4 5
12 Seeing/talking with someone powerful 1 2 3 4 5
13 Having a romantic dinner with a partner 1 2 3 4 5
14 Watching someone engage in physical activities (e.g., sports) 1 2 3 4 5
15 Talking about sexual activity or “talking dirty” 1 2 3 4 5
16 Laughing with a romantic partner 1 2 3 4 5
17 Sensing your own or your partner’s wetness, lubrication, or erection 1 2 3 4 5
18 Feeling protective of a partner 1 2 3 4 5
19 Hearing your partner tell you that he or she fantasized about you 1 2 3 4 5
20 Giving or receiving a massage 1 2 3 4 5
21 Your partner is supportive of you 1 2 3 4 5
22 Dancing closely 1 2 3 4 5
23 Seeing someone who is well-dressed or “has class” 1 2 3 4 5
24 Feeling a sense of commitment from a partner 1 2 3 4 5
25 Being in close proximity with attractive people 1 2 3 4 5
26 Touching your partner’s hair or face 1 2 3 4 5
27 You experience genital sensations (e.g., increased blood flow to genitals) 1 2 3 4 5
28 Seeing/talking with someone wealthy 1 2 3 4 5
29 Your partner does “special” or “loving” things for you 1 2 3 4 5
30 Seeing someone act confidently 1 2 3 4 5
31 Having a sexual fantasy (e.g., having a sexual dream, daydreaming) 1 2 3 4 5
32 Flirting with someone or having someone flirt with you 1 2 3 4 5
33 Watching a romantic movie 1 2 3 4 5
34 Seeing a well-toned body 1 2 3 4 5
35 Feeling a sense of security in your relationship 1 2 3 4 5
36 Watching a sunset 1 2 3 4 5
37 Reading about sexual activity (e.g., pornographic magazine) 1 2 3 4 5
38 Whispering into your partner’s ear/having your partner whisper into
your ear
12 3 45
39 Watching a strip tease 1 2 3 4 5
40 Feeling protected by a partner 1 2 3 4 5
12 3 45
Not at
all likely
Somewhat
likely
Moderately
likely
Very
likely
Extremely
likely
Appendix 1 Continued
... These are mostly demonstrated by research on perceived partner responsiveness and validation. Based on this research, feeling loved and understood by one's partner (Birnbaum et al., 2007(Birnbaum et al., , 2018Ferreira et al., 2014;McCall & Meston, 2006;Murray & Milhausen, 2012;Murray et al., 2014Murray et al., , 2017Rubin & Campbell, 2012;Sprecher et al., 2013;Štulhofer et al., 2014), as well as feeling sexually desired (Brotto et al., 2009;Janssen et al., 2008;Mark et al., 2019;McCall & Meston, 2006) and supported in one's growth/professional concerns, are related to higher sexual desire for them (Murray et al., 2017). ...
... These are mostly demonstrated by research on perceived partner responsiveness and validation. Based on this research, feeling loved and understood by one's partner (Birnbaum et al., 2007(Birnbaum et al., , 2018Ferreira et al., 2014;McCall & Meston, 2006;Murray & Milhausen, 2012;Murray et al., 2014Murray et al., , 2017Rubin & Campbell, 2012;Sprecher et al., 2013;Štulhofer et al., 2014), as well as feeling sexually desired (Brotto et al., 2009;Janssen et al., 2008;Mark et al., 2019;McCall & Meston, 2006) and supported in one's growth/professional concerns, are related to higher sexual desire for them (Murray et al., 2017). ...
Article
Sexual desire has often been conceptualized and studied as an individual trait. However, empirical evidence suggests that there is also value in studying it as a state and dyadic construct. Through a daily diary study with a randomized controlled experimental design, we aimed to explore (i) how the roles that partners fulfill in dyadic interactions are associated with daily fluctuations in dyadic sexual desire, (ii) whether these roles can be leveraged to affect sexual desire for one's partner, and (iii) whether effects of partner interactions on dyadic sexual desire vary by gender. In total, 163 mixed-gender couples (N = 326), with a mean age of 30.3 years (SD = 7.95), participated. During 22 consecutive days, participants reported daily on their dyadic sexual desire, as well as on several aspects of their interactions. Couples in the experimental condition additionally received assignments that manipulated their partner interactions. Analyzing our data using Multilevel Modelling techniques for longitudinal dyadic data, we found that daily dyadic sexual desire was associated with what each partner takes, gives, and receives in relation with their affiliation, sexuality and exploration needs. Additionally, women's sexual desire was associated with what their partner reported taking, giving, and receiving during affiliative interactions, and with perceived but not enacted responsiveness to their sexuality and exploration needs. Our results suggest that daily ebbs and flows of sexual desire may be partly explained by temporal changes in interactions between partners, making them possible valuable targets for clinical interventions.
... This research has found that asserting one's affiliation-related needs (e.g. by seeking intimacy and emotional closeness; Dosch et al., 2016;Mark et al., 2018;Terimourpour et al., 2011), and responding to a partner's affiliation needs (e.g. by expressing affection towards a partner; Impett et al., 2008), are both positively associated with dyadic sexual desire. Moreover, receiving validation and responsiveness to one's affiliation needs by the partner has also been associated with high levels of sexual desire for one's partner in a romantic relationship 2018;Ferreira et al., 2014;McCall & Meston, 2006;Murray et al., 2014;Murray & Milhausen, 2012a;Rubin & Campbell, 2012;Sprecher et al., 2013;Štulhofer et al., 2014;Van Lankveld et al., 2018). Based on this evidence, DIADICS predicts that "taking", "giving", and "receiving" related to one's affiliation needs will have a positive effect on one's sexual desire for their partner. ...
... For example, research on sexual subjectivity and sexual goals has found that a focus on the fulfilment of one's own sexual needs is associated with high levels of dyadic sexual desire (Alarie, 2020;Impett et al., 2008), while research on sexual communal strength has revealed the positive effects of the willingness to satisfy the sexual needs of one's partner (Herbenick et al., 2014;Impett et al., 2008;Muise et al., 2013). Finally, perceived partner responsiveness to one's sexual needs and received validation of one's sexual self, resulting in feeling desired by one's partner, have also been found to be positively associated with dyadic sexual desire in couples (Brotto et al., 2009;Janssen et al., 2008;Mark et al., 2019;McCall & Meston, 2006). Based on these research findings, DIADICS predicts that "taking", "giving", and "receiving" related to one's sexuality-related needs will have a positive effect on one's sexual desire for their partner. ...
Article
While the relational context of sexual desire is receiving increasing attention in research, generated insights remain fragmented. The Dyadic Interactions Affecting Dyadic Sexual Desire (DIADICS) model integrates such empirical findings, but the model as a whole has not been empirically tested yet. We conducted an online questionnaire study with 181 mixed-sex couples, to test the model’s assumptions on how sexual desire between partners is influenced by what each of them takes, gives, and receives in relation to their needs for affiliation, sexuality and exploration. Dyadic data analyses guided by the Actor-Partner Interdependence Model (APIM) revealed that, while all these aspects of partner interactions are associated with dyadic sexual desire, the degree to which one asserts their needs for affiliation and sexuality is the most influential, underscoring partners’ agency in shaping their sexual desire for their partner in a romantic relationship. Moreover, Latent Profile Analysis (LPA) demonstrated that dyadic sexual desire may benefit from different combinations of partner interactions, supporting diversity in couple styles and paths to optimal sexuality. Found gender differences and effects of relationship duration on the associations between partner interactions and dyadic sexual desire offer additional insights on the workings of dyadic sexual desire in romantic relationships.
... Communication between romantic partners is an important factor contributing to sexual and relationship health in couples (Hansson & Ahlborg, 2016;Leistner & Mark, 2020;Mark & Jozkowski, 2013;Shapiro et al., 2000). While positive communication is associated with more satisfaction and sexual desire in romantic relationships (Leistner & Mark, 2020;Mark & Jozkowski, 2013;McCall & Meston, 2006;Shapiro et al., 2000), negative communication patterns are linked to relationship dissatisfaction and dissolution (Gottman Institute, 2021;Hansson & Ahlborg, 2016). However, research in this area tends to focus on communication during conflict situations (e.g. ...
... In a qualitative study, women describe positive self-disclosure between partners as a key factor that promotes intimacy and emotional closeness (Murray & Milhausen, 2012). When partners are engaged during women's self-disclosure, women report having higher levels of dyadic sexual desire (McCall & Meston, 2006). Further, daily levels of physical affection have been found to mediate the relationship between the couples' sexual frequency and increases in positive emotions for men and women in the relationship (Debrot et al., 2017). ...
... Medical science has not substantiated claims that any particular food increases sexual desire or performance. 3 Sexual and Reproductive health right is a fundamental human right. The right of expression of sexual activity should have been a universal basic human right of all. ...
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Full-text available
Background: An aphrodisiac is a substance that increases sexual desire. Many foods, drinks, and behaviors have had a reputation for making sex more attainable and/or pleasurable. Men and women alike have continued to use aphrodisiacs whether or not these drugs have any scientific basis of truly improving sexual satisfaction without regards to their composition. Objective: To look at the use of medications to enhance sexual performance among women attending gynaecology clinic in Aminu Kano Teaching Hospital, Kano Nigeria. Results: 500 clients were interviewed, 220 use some medications to enhance their sexual performance (44.0%). The mean age of the respondents was 27 years, SD 5.37, mean parity was 2.6 with a SD 2.43.There is a statistically significant relationship between age and parity (P= 0.05). Women in monogamous relationship were found to use medication to enhance sexual satisfaction compared to those in polygamous relationship. The herbalist/traditional houses were the major source of these medications (40.96%) followed by peer influence (30.91%), while health workers contribute only 2.27%.Thirty percentof the users felt more vaginal wetness with the use of the medications, however 37% of users felt no change in sexual activity. The medications did not meet the expectations of 49% of the users. Conclusion: The major sources of such medications are the traditionalists who never disclose the constituents of such medications.
... Early studies sometimes used a simple yes/no dichotomy to assess pornography use, but in today's milieu where pornography is available throughout the world-even in countries where it is prohibited and thus presumably less available-pornography use has become fairly widespread [18][19][20]. Thus, with most men and women now having had experience with pornography, recent studies have taken a more sophisticated approach to assessing pornography, using measures related to frequency of current use, frequency of use during adolescence, duration of use, purpose of use, age of onset of use, and so on. ...
Article
Full-text available
Purpose Consensus about whether pornography use affects sexual functioning during partnered sex is lacking. In this review, we explain and define the variables under consideration (pornography use and sexual functioning), briefly elaborate the controversy, and conduct a literature search extending from 2015 to the present using diverse and all-inclusive keywords related to pornography use, problematic pornography use (PPU), and sexual functioning in men and women. Recent Findings Twenty-eight studies directly related to the issue were identified, and another 23 studies were used as supporting material (e.g., defining or assessing variables and identifying predictors of PPU). Results were organized into two major sections, beginning with a delineation of methodological issues related to studies on the topic and followed by summaries of studies first on women and men drawn from community samples, and then on women and men drawn from samples defined by excessive, problematic, compulsive, or addictive use of pornography. In general—and consistent with prior reviews on the topic—women were more likely to show positive associations between pornography use and sexual functioning whereas men showed mixed results. Specifically, the analysis demonstrated the diversity of outcomes of pornography use, including how they currently play out differently for women and men and for problematic and non-problematic users, with this latter group—particularly when male—more likely to show mild to moderate negative associations with sexual functioning. Summary Claims of a strong relationship between pornography use and sexual dysfunction are generally unfounded, both by the findings of studies and/or by misinterpretations of them. As part of our “Discussion”, we identify the ongoing methodological challenges in this field, unpack the meaning of PPU and how its component constructs might affect sexual functioning, and suggest a path forward that makes better and more systematic use of covariates/constructs related to both PPU components and sexual functioning.
... Within the narratives, we found that specific symptoms of SS appeared to affect an individual's ability to engage in intimate and romantic behavior, such as kissing, holding hands, and cuddling. Previous research has shown that engaging in intimate and romantic behaviors is important for provoking feelings of sexual desire and sexual willingness for some women [28]. Our findings suggest that individuals with SS may experience complications with initiating or being receptive to sexual cues due to disease-related symptoms. ...
Article
Full-text available
Sexual dysfunction is a common experience for women with the autoimmune rheumatic disease, Sjögren’s syndrome (SS); however, the lived experience of how the disease affects sexual functioning and the sexual environment remains unexplored. This qualitative study explores the conversations pertaining to female sexual function and the sexual environment that individuals with SS have on an internet forum. Qualitative data posted on one publicly accessible, worldwide, internet forum was extracted using an automated web scraping tool. A total of 247,694 posts across 23,382 threads were scraped from the forum in July 2019 and June 2022 (from the United Kingdom). A predetermined and theoretically informed keyword search strategy was used to screen the captured data for content relevant to the study aim. The dataset was cleaned to remove duplication and identifying information and screened for topic relevance. The Computer-Assisted Qualitative Data Analysis software tool, ATLAS.ti, was used to facilitate the data analysis process. Thematic analysis was conducted on 1443 female-oriented posts, and four key themes were identified: the symptoms of SS and their impact on the sexual environment; the emotional responses that are commonly evoked in response to sexual difficulties; the strategies that users have implemented to manage sexual problems; and the impact that a partner’s behavior may have on the sexual environment. Together these themes provide an insight into the nature of sexual difficulties for females with SS. Our findings provide novel insights to inform clinical discussions between practitioners and patients whilst further outlining the importance of undertaking qualitative research with this population.
... Gottman (Navarra & Gottman, 2017) argues that whilst moments of deep conversations create connectedness, it is these daily interactions of mindfulness that truly strengthen a relationship. Mindfulness-based therapy has also been linked to an increase in sexual desire in women with low desire issues (Brotto & Basson, 2014;Brotto et al., 2009;McCall & Meston, 2006). When looking at the individual level factors outlined in this chapter one can see the interconnectedness of each protective strategy. ...
Thesis
Full-text available
Sexual desire issues are one of the main reasons why couples go to therapy. Managing the balance of sexual desire whilst cohabitating in a long-term relationship is one of the challenges of modern relationships. This study aims to understand what makes for a healthy sexual relationship according to cohabitating couples, how the experience of eroticism whilst growing up impacts their current erotic space and how emotional desire impacts sexual desire and vice versa. Findings show that a balance between autonomy and connection facilitates sexual desire maintenance. Communication of expectations, strengthened and shaped by the level of attachment, also impacts sexual desire levels. Furthermore, culture and social ambiance as well as support systems are external factors which affect relationship satisfaction and sexual desire maintenance.
Chapter
The interface of sexual behavior and evolutionary psychology is a rapidly growing domain, rich in psychological theories and data as well as controversies and applications. With nearly eighty chapters by leading researchers from around the world, and combining theoretical and empirical perspectives, The Cambridge Handbook of Evolutionary Perspectives on Sexual Psychology is the most comprehensive and up-to-date reference work in the field. Providing a broad yet in-depth overview of the various evolutionary principles that influence all types of sexual behaviors, the handbook takes an inclusive approach that draws on a number of disciplines and covers nonhuman and human psychology. It is an essential resource for both established researchers and students in psychology, biology, anthropology, medicine, and criminology, among other fields. Volume 3: Female Sexual Adaptations addresses theory and research focused on sexual adaptations in human females.
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Full-text available
A construct consisting of eight dispositional sexual motives was proposed to expand upon and integrate earlier theory and research. The eight motives are desire for (a) feeling valued by one's partner, (b) showing value for one's partner, (c) obtaining relief from stress, (d) providing nurturance to one's partner, (e) enhancing feelings of personal power, (f) experiencing the power of one's partner, (g) experiencing pleasure, and (h) procreating. Based on this formulation, a self‐report questionnaire was developed to measure stable interest in the eight incentives hypothesized to influence sexual motivation and behavior. Initial factor analyses supported the proposed model in that items clustered predominantly into the theoretically proposed dimensions. The questionnaire was revised, and two subsequent factor analyses supported the earlier factor structure. AMORE scales were moderately correlated with erotophobic versus erotophilic attitudes, attitudes about uncommitted sex, sensation‐seeking tendencies, and need for attention. The Value For Partner and Nurturance scales were correlated with a personality measure of interpersonal warmth, and the Power and Partner Power scales were correlated with aggression tendencies. All AMORE scales were correlated with a measure of general sexual desire. Many AMORE scales were also correlated with self‐reports of sexual behavior and contraception/protection use. The distinction among sexual motives provides a more complete understanding of sexual motivation and is likely to improve prediction of sexual behavior.
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Context While recent pharmacological advances have generated increased public interest and demand for clinical services regarding erectile dysfunction, epidemiologic data on sexual dysfunction are relatively scant for both women and men. Objective To assess the prevalence and risk of experiencing sexual dysfunction across various social groups and examine the determinants and health consequences of these disorders. Design Analysis of data from the National Health and Social Life Survey, a probability sample study of sexual behavior in a demographically representative, 1992 cohort of US adults. Participants A national probability sample of 1749 women and 1410 men aged 18 to 59 years at the time of the survey. Main Outcome Measures Risk of experiencing sexual dysfunction as well as negative concomitant outcomes. Results Sexual dysfunction is more prevalent for women (43%) than men (31%) and is associated with various demographic characteristics, including age and educational attainment. Women of different racial groups demonstrate different patterns of sexual dysfunction. Differences among men are not as marked but generally consistent with women. Experience of sexual dysfunction is more likely among women and men with poor physical and emotional health. Moreover, sexual dysfunction is highly associated with negative experiences in sexual relationships and overall wellbeing. Conclusions The results indicate that sexual dysfunction is an important public health concern, and emotional problems likely contribute to the experience of these problems.
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Epidemiological utility and characteristics of the Beck Depression Inventory (BDI) were examined in a sample of 304 nonclinical Spanish adolescents (17–18 yrs old). Psychopathological diagnoses according International Classification of Diseases and Related Health Problems (ICD--10) criteria were assessed by the Schedules for Clinical Assessment in Neuropsychiatry. The female BDI scores were significantly higher than the male scores. The depressed adolescent scores were significantly higher than for nondepressed adolescents. Different scores as discriminators of depression subtypes were reported. The BDI pessimism item was the most important predictor of the total BDI score. Gender differences were found in depressive symptomatology. According to the rates of sensitivity and specificity, the best cutoff scores found were 16 and 10 for major depression and dysthymia, respectively. In conclusion, the BDI proved to be a reliable and valid instrument that could be used as a depression screening in nonclinical adolescents. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Article
Theories about misperception of sexual intent, cognitive distortions among rapists, and alcohol's effects on cognition describe processes that may contribute to acquaintance sexual assault. Drawing on these literatures, an experiment was conducted to examine hypotheses about the effects of past sexual assault perpetration and alcohol consumption on 153 college men's reactions to a female confederate. As compared to nonperpetrators, self-acknowledged rapists and verbal coercers reported being more sexually attracted to the confederate. Trained coders were least certain that rapists noticed specific positive and negative cues that the confederate used and most certain that verbal coercers did. Intoxicated participants perceived themselves and their partner as acting more sexually than did sober or placebo participants. Suggestions are discussed for research and treatment programs with college sexual assault perpetrators.
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Studied female sexuality in 3 generations. A standard interview schedule was used, consisting of 300 precoded questions about sexuality, social conditions, and health. At the time of interview the women in each generational group were 70, 40, and 22 yrs old. Of these women, 72%, 67%, and 95%, respectively, had experienced spontaneous sexual desire, and 88%, 96%, and 91% had experienced orgasm. Also, 38%, 47%, and 81%, respectively, had masturbated at least once, and fantasies during masturbation were used by 50%, 48%, and 68%. Seven percent of the women born in 1910 and 44% of women born in 1958 had sexual fantasies in general, and 14% and 39% had fantasies during intercourse. (0 ref) (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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Introduction: Hypoactive sexual desire disorder (HSDD) is the most common sexual complaint in women. Currently there are no validated instruments for specifically assessing HSDD severity, or change in HSDD severity in response to treatment, in premenopausal women. The Sexual Interest and Desire Inventory-Female (SIDI-F) is a clinician-administered instrument that was developed to measure severity and change in response to treatment of HSDD. Seventeen items were included in a preliminary version of the SIDI-F, including 10 items related to desire, and seven items related to possible comorbid factors (e.g., other kinds of sexual dysfunction, general relationship satisfaction, mood, and fatigue). Aim: The aim of the study was to use the outcome of item response analyses of blinded data from two randomized, placebo-controlled trials, to assist in the revision of the scale. Methods: A nonparametric item response (IRT) model was used to assess the relation between item functioning and HSDD severity on this preliminary version of the SIDI-F. Results: Results show that the majority of SIDI-F items demonstrated good sensitivity to differences in overall HSDD severity. That is, there was an orderly relation between differences in option selection for an item and differences in overall HSDD severity. The IRT analyses further indicated that revisions were warranted for a number of these items. Five items were not sensitive to differences in HSDD severity and were removed from the scale. Conclusion: The SIDI-F is a brief, clinician-administered rating scale designed to assess severity of HSDD symptoms in women. IRT analyses show that majority of the items of the SIDI-F function well in discriminating individual differences in HSDD severity. A revised 13-item version of the SIDI-F is currently undergoing further validation.
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Little is known about the beliefs men and women have about the causes of sexual desire, despite the interpersonal and individual significance of those beliefs. Participants in this study received a definition of sexual desire and answered a set of free-response questions exploring their beliefs about the causal antecedents of male and female sexual desire. The results indicated that more women than men view female (and male) sexual desire as caused by external factors. In addition, both men and women believe that male and female sexual desire have different causes: intraindividual and erotic environmental factors are believed to cause male sexual desire, but interpersonal and romantic environmental factors are believed to cause female sexual desire. Although both men and women view physical attractiveness and overall personality as sexually desirable male and female characteristics, women, but not men, view femininity as a sexually desirable female characteristic, and men, but not women, view social and financial power or status as a sexually desirable male attribute.
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Research studies focusing on the psychometric properties of the Beck Depression Inventory (BDI) with psychiatric and nonpsychiatric samples were reviewed for the years 1961 through June, 1986. A meta-analysis of the BDI's internal consistency estimates yielded a mean coefficient alpha of 0.86 for psychiatric patients and 0.81 for nonpsychiatric subjects. The concurrent validitus of the BDI with respect to clinical ratings and the Hamilton Psychiatric Rating Scale for Depression (HRSD) were also high. The mean correlations of the BDI samples with clinical ratings and the HRSD were 0. 72 and 0.73, respectively, for psychiatric patients. With nonpsychiatric subjects, the mean correlations of the BDI with clinical ratings and the HRSD were 0.60 and 0.74, respectively. Recent evidence indicates that the BDI discriminates subtypes of depression and differentiates depression from anxiety.