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Sexual orientation of men with pathological gambling: Prevalence and psychiatric comorbidity in a treatment-seeking sample

Authors:

Abstract

Although gay men represent a high-risk group for psychiatric illness and impairment, they are largely an understudied population. The purpose of the present study was to examine the sexual orientation and clinical correlates of men with pathological gambling (PG). Sexual orientation was assessed in 105 men presenting with PG. Gay and bisexual men with PG were compared with heterosexual men in terms of gambling symptoms, impairment, and co-occurring psychiatric disorders. Of 22 men (21.0%) with PG, 15 were gay (14.3%) and 7 were bisexual (6.7%). Gay and bisexual men vs heterosexual men were more likely to be single (81.8% vs 21.7%; chi(2)(2) = 28.2; P < .001), have a lifetime (81.8% vs 44.6%; chi(2)(1) = 9.7; P = .002) or current (68.2% vs 34.9%; chi(2)(1) = 7.9; P = .005) impulse control disorder, and have a lifetime substance use disorder (59.1% vs 31.3%; chi(2)(1) = 5.7; P < .05). Gay and bisexual men with PG also showed a trend toward greater impairment (P = .04). Psychiatric comorbidity and impairment are high in gay and bisexual men with PG. Research is needed to optimize patient care for gay and bisexual men with PG.
Sexual orientation of men with pathological gambling: prevalence
and psychiatric comorbidity in a treatment-seeking sample
Jon E. Grant
a,*
and Marc N. Potenza
b
a Department of Psychiatry, University of Minnesota Medical School, Minneapolis, MN 55454, USA
b Department of Psychiatry, Yale University Medical School, New Haven, CT 06519, USA
Abstract
Although gay men represent a high-risk group for psychiatric illness and impairment, they are largely
an understudied population. The purpose of the present study was to examine the sexual orientation
and clinical correlates of men with pathological gambling (PG). Sexual orientation was assessed in
105 men presenting with PG. Gay and bisexual men with PG were compared with heterosexual men
in terms of gambling symptoms, impairment, and co-occurring psychiatric disorders. Of 22 men
(21.0%) with PG, 15 were gay (14.3%) and 7 were bisexual (6.7%). Gay and bisexual men vs
heterosexual men were more likely to be single (81.8% vs 21.7%;
χ
2
2
= 28.2
; P < .001), have a lifetime
(81.8% vs 44.6%;
χ
1
2
= 9.7
; P = .002) or current (68.2% vs 34.9%;
χ
1
2
= 7.9
; P = .005) impulse control
disorder, and have a lifetime substance use disorder (59.1% vs 31.3%;
χ
1
2
= 5.7
; P < .05). Gay and
bisexual men with PG also showed a trend toward greater impairment (P = .04). Psychiatric
comorbidity and impairment are high in gay and bisexual men with PG. Research is needed to
optimize patient care for gay and bisexual men with PG.
1. Introduction
Although sexual orientation is a complex construct, the National Health and Social Life Survey
found that approximately 3% of men in a community sample identified as gay or bisexual
[1]. Gay and bisexual men experience high rates of depression, anxiety, and substance use
disorders [2–9]. In fact, some studies suggested that almost half of gay and bisexual men (42%–
49%) suffer from a psychiatric disorder [10]. In particular, gay and bisexual men appear to
suffer from substance use disorders at 2 to 3 times the rate found in the general population
[11,12]. Gay as compared with heterosexual men also report lower qualities of life [2,10].
Together, these findings suggest that gay men represent a high-risk group for various
psychiatric illnesses, particularly addictive disorders.
Pathological gambling (PG) is a relatively prevalent impulse control disorder more frequently
found in men [13]. Because of its phenomenological similarities to substance use disorders,
PG has been described as a behavioral addiction [14]. Pathologic gambling is associated with
functional impairment and high rates of psychiatric comorbidity [15–17]. Although past-year
adult prevalence rates for PG are estimated at 1%, PG has not been assessed in most
epidemiological studies on psychiatric disorders [18], including those investigating sexual
orientation [6].
This study had 3 purposes: (1) to examine the relationship of sexual orientation to psychiatric
disorders by examining the sexual orientation of men with PG; (2) to compare the rates of
* Corresponding author. Tel.: +1 612 273 9736; fax: +1 612 273 9779., E-mail address: grant045@umn.edu (J.E. Grant)..
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Published in final edited form as:
Compr Psychiatry. 2006 ; 47(6): 515–518.
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psychiatric disorders in gay and bisexual men with PG with those of heterosexual men with
PG; and (3) to examine how these 2 groups differ in terms of psychosocial functioning.
2. Methodology
2.1. Subjects
Participants were 105 consecutive male outpatients aged 18 years or older and who met
Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria for
PG. Participants were recruited by advertisements and referrals for a cognitive-behavioral
study, pharmacologic studies, or outpatient treatment. The institutional review boards of the
University of Minnesota and the Butler Hospital approved the studies and consent statements.
All participants provided written informed consent.
2.2. Assessments
All subjects met DSM-IV criteria for PG using the clinician-administered Structured Clinical
Interview for Pathologic Gambling, a valid and reliable diagnostic instrument [19]. Psychiatric
diagnoses for mood, anxiety, substance use, psychotic, somatoform, eating, and adjustment
disorders were assessed using the Structured Clinical Interview for DSM-IV (Table 1) [20].
Subjects were individually and privately interviewed by the first author regarding their same-
sex sexual relationships and sexual orientation. Specifically, subjects were asked about their
sexual behavior, attraction, and sexual identity. Subjects were classified as gay or bisexual
based on their sexual identity. In addition, subjects who identified as gay or bisexual were
asked if they currently lived with a partner. Information were elicited without the use of a
standardized assessment.
Impulse control disorders were examined using the Minnesota Impulsive Disorders Interview,
a reliable and valid semistructured clinical interview for trichotillomania, pyromania,
intermittent explosive disorder, kleptomania, compulsive buying, and compulsive sexual
behavior (Table 2) [21]. In a study on co-occurring impulse control disorders in psychiatric
inpatients, the Minnesota Impulsive Disorders Interview demonstrated the following
classification accuracy rates for each impulse control disorder based on subsequent structured
clinical interviews: compulsive buying, sensitivity of 100% and specificity of 96.2%;
kleptomania, sensitivity of 89.5% and specificity of 93.0%; PG, sensitivity of 100% and
specificity of 98.4%; intermittent explosive disorder, sensitivity of 100% and specificity of
97.4%; compulsive sexual behavior, sensitivity of 80.0% and specificity of 96.9%; pyromania,
sensitivity of 100% and specificity of 100%; and trichotillomania, sensitivity of 100% and
specificity of 98.5% [21].
The Sheehan Disability Scale (SDS), a 3-item reliable and valid self-report measure of
functioning at work, in social/leisure activities, and in home/family life, assessed functional
impairment [22]. The SDS total score ranges from 0 to 30, with higher scores reflecting greater
functional impairment.
2.3. Statistical analysis
Subjects grouped by sexual orientation (gay and bisexual vs heterosexual) were compared on
measures of sociodemographics; lifetime and current rates of impulse control disorder as well
as nonimpulse control disorder psychiatric comorbidity; and impairment. Between-group
differences were tested using Pearson χ
2
analysis, Fisher exact test, or t test (two tailed).
Because we performed multiple comparisons, we used an adjusted α level of P < .01; we did
not adjust the α level to reflect all statistical comparisons because this is the first study on this
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topic and is therefore exploratory—in addition, the Bonferroni correction tends to be overly
conservative [23].
3. Results
One hundred five consecutive male subjects (mean age ± SD = 46.1 ± 11.5 years; range = 21–
75 years) were assessed. Twenty-two (21.0%) subjects identified themselves as gay or bisexual
(95% confidence interval [CI] = 13.2%–28.8%): 15 (14.3%) identified as gay (95% CI = 7.6%–
21.0%) and 7 (6.7%) identified as bisexual (95% CI = 1.9%–11.5%). Most subjects were white
(n = 102; 97.1%) and had some college education (n = 82; 77.1%). Gay and bisexual men were
more likely to live alone (
χ
2
2
= 28.2; = 28.2; P <.001). There was no significant difference in
terms of age, education, or race/ethnicity between the gay and bisexual and heterosexual male
gamblers.
Gay and bisexual men were more likely than heterosexual men to report a lifetime (81.8% vs
44.6%;
χ
1
2
= 9.7; P = .002) or current (68.2% vs 34.9%;
χ
1
2
= 7.9; P = .005) impulse control
disorder (Table 2). Of those with impulse control disorders, proportions acknowledging
compulsive sexual behaviors differed most between gay and bisexual men and heterosexual
men (lifetime: 59.1% vs 16.9%,
χ
1
2
= 16.2, P <.001; current: 50.0% vs 9.6%,
χ
1
2
= 19.1, P <.
001). Gay and bisexual men were more likely than heterosexual men, on a trend level, to report
a co-occurring lifetime nonimpulse control psychiatric disorder (95.5% vs 73.5%;
χ
1
2
= 4.9;
P = .03). Of those with these disorders, proportions acknowledging substance use disorders
differed most between gay and bisexual men and heterosexual men (59.1% vs 31.3%;
χ
1,103
2
= 5.7; P <.05). Proportions acknowledging current substance use disorders did not differ
significantly between gay and bisexual men and heterosexual men (13.6% vs 9.6%; P = .16).
Gay and bisexual men vs heterosexual men scored higher on the SDS, although this did not
reach statistical significance (14.7 vs 12.8; t
1,103
= 2.1; P = .04).
4. Discussion
To our knowledge, this is the first study to examine the relationship between sexual orientation
and psychopathology in men with PG. Although general sociodemographic characteristics
between gay and bisexual men and heterosexual men with PG were largely similar, gay and
bisexual men were more likely to report living alone without a partner, consistent with
population-based surveys of gay men [6]. However, the proportion of gay and bisexual men
in this study (20.1%) is considerably higher than that in the general population (3%), raising
the possibility that gay and bisexual men might be at increased risk for PG, as appears to be
the case for other psychiatric disorders [6,8,10]. These findings suggest the need to include PG
and sexual orientation measures in future psychiatric epidemiological studies. Specifically,
because of the complexity of sexual orientation, measures should assess sexual identity, sexual
attraction, sexual fantasy, and sexual behavior [24,25].
More frequent acknowledgement of impulse control disorders and other psychiatric disorders
was observed in gay and bisexual men compared with heterosexual men with PG. These
between-group differences appeared largely attributable to higher proportions of gay and
bisexual men acknowledging compulsive sexual behaviors and substance use disorders. These
findings suggest that PG in gay and heterosexual men is associated with impaired impulse
control over a wider range of addictive activities than in heterosexual men with PG. The
diagnosis of compulsive sexual behavior has merited some skepticism, particularly in the
context of gay men who may simply have more sexual outlets than heterosexual men. The
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sexual behaviors described by this sample, however, were consistent with the diagnosis of
compulsive sexual behavior proposed by various clinicians [26,27].
The observed rate of lifetime substance use disorder in gay and bisexual men with PG (59%)
is notably higher than the rates reported in the general population (26.6%–29.0%) [18] or in
general surveys of gay men [6]. In addition, the lifetime rate of substance use disorders in the
heterosexual men in this sample is slightly lower than the rates found in other samples of
individuals with PG (36%–63%) [13]. The lifetime rate of substance use disorders in this entire
sample was approximately 37.1%, but the rate of lifetime substance use disorders in the
heterosexual gamblers was only 31.3%. Although exact reasons for this difference are unclear,
one possible explanation may be that this sample consisted of treatment-seeking pathologic
gamblers and that these subjects may have less lifetime comorbidity as compared with general
population samples of gamblers. In addition, no previous study examined whether the elevated
rates among gamblers were associated with gay or bisexual orientation. Because both
individuals with PG and gay men appear to be at risk for substance use disorders, gay gamblers
may be at even greater risk of developing a substance use disorder.
Furthermore, although the rates of current and lifetime compulsive sexual behaviors found in
this study’s entire sample (18.1% and 25.7%, respectively) are consistent with those reported
among pathologic gamblers (23%) [13], the rates of current and lifetime compulsive sexual
behaviors among gay and bisexual male pathologic gamblers in this sample (50% and 59%,
respectively) are notably higher. Future studies should assess more closely the role of sexuality
in patients with co-occurring addictions.
The greater impairment in gay and bisexual men as compared with heterosexual men with PG
is consistent with findings in other populations of gay men. Decreased scores on quality-of-
life measures have been linked to low self-esteem in gay men [2]. The extent to which these
factors influence addictive behaviors such as PG remains to be explored.
Identification of sexual orientation among gamblers may have treatment implications. Given
the elevated rates of other addictive behaviors, gay and bisexual male pathologic gamblers may
require more intensive or specialized treatment services as compared with heterosexual
gamblers and the treatment interventions may need to address a wide range of impulsive
behaviors and disinhibition. Systematic PG efficacy studies to date have not examined the
differential treatment response of PG based on sexual orientation; future studies should
investigate this issue.
This study has several limitations. Subjects were categorized based on self-identification of
their sexuality. Sexual orientation was not assessed with a standardized instrument. Because
sexuality is often a difficult issue for men, gay or bisexual orientation may be underreported.
Conversely, however, the subjects may be generally more disinhibited and therefore more
likely to accurately report their sexual orientation despite society’s lack of acceptance.
Treatment-seeking pathologic gamblers may differ from individuals who do not seek treatment
or have a less severe form of gambling pathology. The extent to which these results generalize
to the larger population of pathologic gamblers warrants future study.
5. Conclusions
The results of this exploratory study suggest that a gay or bisexual orientation may be common
in people with PG and frequently co-occurs with other addictive behaviors. Additional research
on this topic are needed, including larger prevalence studies and studies that may shed light on
the relationship between sexual orientation and PG (eg, prospective studies and studies on
etiology and pathophysiology). Also greatly needed are treatment studies to identify efficacious
treatments for gay and bisexual patients with multiple addictive behaviors.
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Acknowledgements
This research was supported in part by a Career Development Award (JEG-K23 MH069754-01A1) and the Clinician
Scientist Training Program (MNP-K12 DA 00167). The research was also funded in part by unrestricted educational
grants from BioTie Therapies of Turku, Finland, and Forest Laboratories (New York, NY).
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Table 1
Psychiatric comorbidity in gay/bisexual men compared with heterosexual men with PG
Gay/Bisexual men (n = 22) Heterosexual men (n = 83)
SCID diagnosis Lifetime Current Lifetime Current
Any mood disorder 6 (27.3) 0 (0) 25 (30.1) 5 (6.0)
Any anxiety disorder 4 (18.2) 2 (9.1) 28 (33.7) 7 (8.4)
Substance use disorder
13 (59.1)
*
3 (13.6) 26 (31.3) 8 (9.6)
Psychotic disorder 0 (0) 0 (0) 0 (0) 0 (0)
Somatoform disorder
2 (9.1)
*
1 (4.5) 0 (0) 0 (0)
Eating disorder
2 (9.1)
*
0 (0) 0 (0) 0 (0)
Adjustment disorder 2 (9.1) 0 (0) 3 (3.6) 0 (0)
Any SCID diagnosis
21 (95.5)
*
6 (27.3) 61 (73.5) 16 (19.3)
Values are expressed as n (%). SCID indicates Structured Clinical Interview for DSM-IV.
*
P < .05, significantly different from heterosexual male gamblers.
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Grant and Potenza Page 8
Table 2
Impulse control disorders in gay/bisexual men compared with heterosexual men with PG
Gay/Bisexual men (n = 22) Heterosexual men (n = 83)
MIDI diagnosis Lifetime Current Lifetime Current
Compulsive buying 5 (22.7) 4 (18.2) 12 (14.5) 10 (12.0)
Compulsive sexual behavior
13 (59.1)
***
11 (50.0)
***
14 (16.9) 8 (9.6)
Kleptomania 1 (4.5) 0 (0) 3 (3.6) 2 (2.4)
Intermittent explosive disorder 2 (9.1) 1 (4.5) 4 (4.8) 4 (4.8)
Trichotillomania 0 (0) 0 (0) 2 (2.4) 2 (2.4)
Pyromania 0 (0) 0 (0) 0 (0)
Any MIDI diagnosis
18 (81.8)
**
15 (68.2)
**
37 (44.6) 29 (34.9)
Values are expressed as n (%). MIDI indicates Minnesota Impulsive Disorders Interview.
**
P < .01, significantly different from heterosexual male gamblers.
***
P < .001, significantly different from heterosexual male gamblers.
Compr Psychiatry. Author manuscript; available in PMC 2007 March 1.
... Among the six studies, one was published in 2005 (Hershberger & Bogaert), one in 2006 (Grant & Potenza), one in 2018 (Broman & Hakansson), two in 2019 (Richard et al.; Rider et al.), and one in 2021 (Bush et al.). Four of the studies were conducted in the United States (Hershberger and Bogaert 2005;Grant and Potenza 2006;Richard et al. 2019;Rider et al. 2019), one in Sweden (Broman and Hakansson 2018), and the last one in Australia (Bush et al. 2021). All six studies were original research articles. ...
... Two studies were secondary analyses of existing data: Rider et al. (2019) analyzed the data from the 2016 Minnesota Student Surveys, whereas Hershberger and Bogaert (2005) analyzed survey interviews conducted between 1938 and 1963 at the Kinsey Institute for Research in Sex, Gender, and Reproduction. Grant and Potenza (2006) also used a quantitative research design in their individual interviews with outpatients. ...
... The items in all the validated questionnaires stated above were similar. Grant and Potenza (2006) studied subjects who met the criteria for problem gambling according to the DSM-IV. One study used nine items of the DSM-5 criteria for GD to create a GD symptomatology score (Richard et al. 2019). ...
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Little is known about the prevalence of problem gambling among sexual minority individuals. The present study utilized an epidemiological sample, including individuals identifying as lesbian, gay, bisexual, asexual, and pansexual, to explore gambling behavior and problems and associated mental health and comorbid conditions that may contribute to elevated risk. Bivariate comparisons found that sexual minority individuals had higher rates of problem gambling, alcohol and substance use problems, anxiety, depression, and a wide range of problem behaviors (e.g., binge eating, prostitution, excessive video gaming) than heterosexuals. In a logistic regression, age moderated the relationship between sexual minority status and problem gambling, such that the risk for high-risk problem gambling increased with age for sexual minority individuals while it decreased for heterosexuals. Additionally, a logistic regression of sexual minority individuals who gamble found anxiety (OR = 3.80, 95% CI = 1.03, 13.97) and drug problems (OR = 8.57, 95% CI = 1.79, 41.05) predicted high-risk problem gambling. Findings suggest that prevention and screening protocols are needed in systems accessed by sexual minority individuals, particularly those middle age and older, as well as in settings where anxiety and substance use disorders are treated.
... People mostly engage in online gambling during and after the pandemic (Emond et al., 2021). Numerous public authorities [WHO, 2017;Gambling Commission, 2022; General Directorate of Security (GDS), 2022; Green Crescent, 2022] and academic studies (Grant and Potenza, 2006;Çakıcı, 2019) reveal that gambling is a common behavior. Technological advances (accessibility) that facilitate gambling and the decrease in the age of meeting with gambling (Welte et al., 2008;Erdoğdu, 2017) demonstrate that gambling behavior has become a social risk. ...
... It would be useful to create a framework for prevention and intervention studies by taking the profile characteristics of professional gamblers into account (Barnicot et al., Frontiers in Psychology 09 frontiersin.org 2012). In this regard, motivational interviewing techniques can be used on the basis of the high value and responsibility levels of professional gamblers (Ögel, 2009). ...
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Early age of gambling onset, ease of gambling with technological developments and lack of controlling online gambling games have led to unmanageable risk of gambling. Individual-centered approaches play a significant role in managing the risk that gambling poses on public health and discerning the heterogeneity of gambling addiction. Therefore, this study employed Latent Profile Analysis (LPA), one of the individual-centered approaches, to model the interactions across the psychosocial characteristics of gamblers. The study aims to reveal the latent profiles of gambling addiction. Unlike variable-centered approaches, LPA is a contemporary technique that provides objective information regarding individual psychological processes and behaviors. The profile indicators of the study involve psychosocial characteristics such as resilience, motives to gamble (excitement/fun, avoidance, making money, socializing), purposefulness, responsibility and worthiness. Data were collected from 317 volunteers (M = 68.9%; F = 31.1%; mean age = 25.16 ± 6.46) through the Brief Resilience Scale (BRS), Gambling Motives Scale (GMS) and Personal Virtues Scale (PVS). The emerging profiles were defined as adventurous players (14.2%), social gamblers (9.8%), professional gamblers (32.8%), problem gamblers (24.6%) and avoidant gamblers (18.6%). The individual-centered modeling is congruent with the literature on gambling and provides a complementary perspective to understand the heterogeneous structure of gambling. The results are expected to assist mental health professionals in developing educational and clinical intervention programs for gambling behavior. Finally yet importantly, it is recommended that new LPA models be offered through the use of different indicators related to gambling addiction.
... 8 It is also the first Canadian study to investigate LGBTQIA2S+ gambling and is one of the first internationally. 38 40 41 43 70 71 This study will generate new knowledge about an understudied population at higher risk for GD in an inclusive, stakeholder-driven manner. This project will also allow the identification of interventions deemed effective by LGBTQIA2S+ individuals. ...
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... Overall, we found only three studies on the association between sexual orientation and the prevalence of pathological gambling. Two studies (Grant & Potenza, 2006;Richard et al., 2019) hinted at higher severity of gambling problems in the LGBTQI p community, whereas one study (Broman & Hakansson, 2018) found no evidence for elevated prevalence levels. As Richard et al. (2019) outlined, higher prevalence levels are in line with a generally higher risk for mental health and substance use problems in this group (see Table 1 at section 'prevalence of LGBTQI p '). ...
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Lesbian, gay, and bisexual youths (aged 15–21 yrs) were studied to determine the impact of verbal abuse, threat of attacks, and assault on their mental health, including suicide. Family support and self-acceptance were hypothesized to act as mediators of the victimization and mental health-suicide relation. Structural equation modeling revealed that in addition to a direct effect of victimization on mental health, family support and self-acceptance in concert mediated the victimization and mental health relation. Victimization was not directly related to suicide. Victimization interacted with family support to influence mental health, but only for low levels of victimization. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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This study presents estimates of lifetime and 12-month prevalence of 14 DSM-III-R psychiatric disorders from the National Comorbidity Survey, the first survey to administer a structured psychiatric interview to a national probability sample in the United States. The DSM-III-R psychiatric disorders among persons aged 15 to 54 years in the noninstitutionalized civilian population of the United States were assessed with data collected by lay interviewers using a revised version of the Composite International Diagnostic Interview. Nearly 50% of respondents reported at least one lifetime disorder, and close to 30% reported at least one 12-month disorder. The most common disorders were major depressive episode, alcohol dependence, social phobia, and simple phobia. More than half of all lifetime disorders occurred in the 14% of the population who had a history of three or more comorbid disorders. These highly comorbid people also included the vast majority of people with severe disorders. Less than 40% of those with a lifetime disorder had ever received professional treatment, and less than 20% of those with a recent disorder had been in treatment during the past 12 months. Consistent with previous risk factor research, it was found that women had elevated rates of affective disorders and anxiety disorders, that men had elevated rates of substance use disorders and antisocial personality disorder, and that most disorders declined with age and with higher socioeconomic status. The prevalence of psychiatric disorders is greater than previously thought to be the case. Furthermore, this morbidity is more highly concentrated than previously recognized in roughly one sixth of the population who have a history of three or more comorbid disorders. This suggests that the causes and consequences of high comorbidity should be the focus of research attention. The majority of people with psychiatric disorders fail to obtain professional treatment. Even among people with a lifetime history of three or more comorbid disorders, the proportion who ever obtain specialty sector mental health treatment is less than 50%. These results argue for the importance of more outreach and more research on barriers to professional help-seeking.
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Lesbian, gay, and bisexual youths 15 to 21 years old were studied to determine the impact of verbal abuse, threat of attacks, and assault on their mental health, including suicide. Family support and self-acceptance were hypothesized to act as mediators of the victimization and mental health-suicide relation. Structural equation modeling revealed that in addition to a direct effect of victimization on mental health, family support and self-acceptance in concert mediated the victimization and mental health relation. Victimization was not directly related to suicide. Victimization interacted with family support to influence mental health, but only for low levels of victimization.
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Background It has been suggested that homosexuality is associated with psychiatric morbidity. This study examined differences between heterosexually and homosexually active subjects in 12-month and lifetime prevalence of DSM-III-R mood, anxiety, and substance use disorders in a representative sample of the Dutch population (N = 7076; aged 18-64 years). Methods Data were collected in face-to-face interviews, using the Composite International Diagnostic Interview. Classification as heterosexual or homosexual was based on reported sexual behavior in the preceding year. Five thousand nine hundred ninety-eight (84.8%) of the total sample could be classified: 2.8% of 2878 men and 1.4% of 3120 women had had same-sex partners. Differences in prevalence rates were tested by logistic regression analyses, controlling for demographics. Results Psychiatric disorders were more prevalent among homosexually active people compared with heterosexually active people. Homosexual men had a higher 12-month prevalence of mood disorders (odds ratio [OR] = 2.93; 95% confidence interval [CI] = 1.54-5.57) and anxiety disorders (OR = 2.61; 95% CI = 1.44-4.74) than heterosexual men. Homosexual women had a higher 12-month prevalence of substance use disorders (OR = 4.05; 95% CI = 1.56-10.47) than heterosexual women. Lifetime prevalence rates reflect identical differences, except for mood disorders, which were more frequently observed in homosexual than in heterosexual women (OR = 2.41; 95% CI = 1.26-4.63). The proportion of persons with 1 or more diagnoses differed only between homosexual and heterosexual women (lifetime OR = 2.61; 95% CI = 1.31-5.19). More homosexual than heterosexual persons had 2 or more disorders during their lifetimes (homosexual men: OR = 2.70; 95% CI = 1.66-4.41; homosexual women: OR = 2.09; 95% CI = 1.07-4.09). Conclusion The findings support the assumption that people with same-sex sexual behavior are at greater risk for psychiatric disorders.
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Notes that compulsive sexual behavior (CSB) is driven by anxiety-reduction mechanisms rather than by sexual desire. There are no good national statistics to estimate how many people suffer from paraphilic or nonparaphilic CSB; however, it appears that more men than women have identified themselves as having CSB. CSB may be identified by looking for associated symptoms and illnesses (e.g., anxiety disorders, depression, substance dependence). Difficulties in distinguishing normal sexual variation from CSB are illustrated with case vignettes. CSB has been linked to early childhood trauma or abuse, highly restricted environments regarding sexuality, dysfunctional attitudes toward sex and intimacy, low self-esteem, anxiety, and depression. Patients who suffer CSB are helped through a combination of psychotherapy and pharmacotherapy. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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The Social Organization of Sexuality reports the complete results of the nation's most comprehensive representative survey of sexual practices in the general adult population of the United States. This highly detailed portrait of sex in America and its social context and implications has established a new and original scientific orientation to the study of sexual behavior. "The most comprehensive U.S. sex survey ever." —USA Today "The findings from this survey, the first in decades to provide detailed insights about the sexual behavior of a representative sample of Americans, will have a profound impact on how policy makers tackle a number of pressing health problems." —Alison Bass, The Boston Globe "A fat, sophisticated, and sperm-freezingly serious volume. . . . This book is not in the business of giving us a good time. It is in the business of asking three thousand four hundred and thirty-two other people whether they had a good time, and exactly what they did to make it so good." —Anthony Lane, The New Yorker New York Times Book Review Notable Book of the Year