Winters, J., Christoff, K., Lipovsky, L., and Gorzalka, B. B. Hypotheses 1.Participants that have sought treatment for sexual compulsivity/addiction, compared.

Slides:

Advertisements

Similar presentations

Carpenter, D. (1), Janssen, E. (2), Graham, C. A. (3,1), Vorst, H. (4), & Wicherts, J. (4) (1) Department of Psychology, Christopher Newport University,

Advertisements

STD Screening in HIV Clinics: Value and Implications Thomas Farley, MD MPH Tulane University Deborah Cohen, MD MPH RAND Corporation.

Infidelity in Heterosexual Couples: Demographic, Interpersonal, and Personality-Related Predictors of Extradyadic Sex Kristen P. Mark, M.Sc., 1 Erick Janssen,

RESULTSINTRODUCTION Sexual desire, as the cognitive component of sexual arousal, is thought to be influenced by attention directed, and emotional response,

HIV Risk Behaviors and Alcohol Intoxication among Injection Drug Users in Puerto Rico Tomás D. Matos, MS Center for Addiction Studies Universidad Central.

Supplemental to Heather Littleton, Amie Grills- Taquechel, Katherine Buck, Lindsey Rosman, and Julia Dodd 2013.

High Sexual Risk But Low HIV Prevalence Among Asian And Pacific Islander (API) Men Who Have Sex With Men (MSM) Kyung-Hee Choi Center for AIDS Prevention.

Predictors of HIV Transmission Risk among Patients in Care: Results from the SPNS Prevention with Positives Initiative Stephen F. Morin, PhD Principal.

Genetic Factors Predisposing to Homosexuality May Increase Mating Success in Heterosexuals Written by Zietsch et. al By Michael Berman and Lindsay Tooley.

Sexual Risk Behaviors of Self- identified and Behaviorally Bisexual HIV+ Men. By: Matt G. Mutchler, PhD; Miguel Chion, MD, MPH; Nancy Wongvipat, MPH; Lee.

Maria Cristina Matteucci, Dina Guglielmi

Factor Analysis Psy 524 Ainsworth.

The Distress Inventory of Partners of Substance Abusers (DIPSA)

Peers, Parents, Media, and Education: Influences on Sexual Behavior Danelle Pattison And Jessica Rouse Hanover College.

Race/Ethnicity as a Moderator of HIV/STD Sexual Risk Reduction Groups for Women in Substance Abuse Treatment E. Bell 1, S. Tross 2, A.N.C. Campbell 1,3,

POSTER TEMPLATE BY: om Sex Differences in Associations between Fear of Negative Evaluation (FNE) and Substance Use Lesley A.

Introduction ► College-student drinking remains a significant problem on campuses across the nation. ► It is estimated that 38-44% of college students.

Self-Esteem and Problem Drinking Among Male & Female College Students William R. Corbin, Lily D. McNair, James Carter University of Georgia Journal of.

Brooke Gomez, Eliot Lopez M.S., Chwee-Lye Chng Ph.D. & Mark Vosvick Ph.D. Center for Psychosocial Health Research.

Recent studies have revealed the importance of considering acculturation when investigating sexuality in East Asian individuals. The purpose of this study.

High Prevalence of Sexual Minority Status in a Sample of Women at High Risk for HIV Infection: Associated Individual-level Factors and Sexual Risk Behaviors.

EVENT LEVEL: Sex obtained through aggression will frequently be unprotected GLOBAL LEVEL: Men who have perpetrated sexual aggression will be more likely.

Introduction Smoking and Social Networks Joseph R. Pruis, Student Research Collaborator, Rosemary A. Jadack, PhD, RN, Professor Department Of Nursing,

Increased exposure to an HIV risk reduction protocol associated with a reduction in drug abuse severity Louise F. Haynes 1 ; Rickey E. Carter 1 ; Amy E.

Relationship Power & Sexual Risk in a Sample of Drug-Involved Women Aimee Campbell, MSSW Columbia University School of Social Work Social Intervention.

S. Sutherland, L. Byfield, N. Cooper National HIV/STI Programme, Ministry of Health Jamaica, West Indies.

Descriptive Research Study Investigation of Positive and Negative Affect of UniJos PhD Students toward their PhD Research Project Dr. K. A. Korb University.

MEN WHO HAVE SEX WITH MEN (MSM) AND RISK FACTORS ASSOCIATED WITH CONDOM USE AT LAST SEXUAL INTERCOURSE WITH A MAN AND A WOMAN IN SENEGAL ELIHoS Project.

Ta ble 3: R E S U L T S (C O N T.) ORGASM FUNCTIONING AND SEXUAL SATISFACTION: THE SELECTIVE PROTECTIVE VALUE OF GOOD RELATIONSHIPS Kyle R. Stephenson,

Introduction Disordered eating continues to be a significant health concern for college women. Recent research shows it is on the rise among men. Media.

BISEXUAL CONCURRENCY,BISEXUAL PARTNESHIPS,AND HIV AMONG SOUTHERN AFRICA MEN WHO HAVE SEX WITH MEN (MSM) Presenter: Gift Trapence Organisation: Centre for.

Sam Deacon Thomas DeSena M.A. Mark Vosvick Ph. D. Department of Psychology Center for Psychosocial Health Research.

Shocking Null-Effects in a Shock-Threat Paradigm Lisa A. Scepkowski, M.A. 1 & Erick Janssen, Ph.D. 2 1 Center for Anxiety and Related Disorders, Boston.

Initial Validity and Reliability of the Revised Sexual Experiences Scale in a Sample of College Men RaeAnn E. Anderson, Timothy J. Geier & Shawn P. Cahill,

Predicting Pregnancy Risk among Women Attending an STD Clinic Judith Shlay MD, MSPH Denver Public Health September 21, 2008 CityMatCH Conference.

Predicting Sexual Risk Taking and Dysfunction in Women: Relevance of Sexual Inhibition and Sexual Excitation Cynthia A. Graham, Ph.D., 1,2,6 Stephanie.

College Student’s Beliefs About Psychological Services: A replication of Ægisdóttir & Gerstein Louis A. Cornejo San Francisco State University.

Winters, J., Christoff, K., Lipovsky, L., and Gorzalka, B. B. Hypotheses 1.Self reported sexual arousal will correlate with physiological sexual arousal,

The Role of Mixed Emotional States in Predicting Men’s and Women’s Subjective and Physiological Sexual Responses to Erotic Stimuli Peterson, Z. D. 1 and.

SEX DIFFERENCES IN SEX-RELATED ALCOHOL EXPECTANCIES AND SEXUAL SENSATION SEEKING AS PREDICTORS OF CONDOM USE Manthos, M., Schacht, R.L., & George, W.H.

Parental, Temperament, & Peer Influences on Disordered Eating Symptoms Kaija M. Muhich, Alyssa Collura, Jessica Hick and Jennifer J. Muehlenkamp Psychology.

Partner Age Difference, Power, Intimate Partner Violence, and Sexual Risk In Adolescent Girls Ellen M. Volpe, PhD, FNP, Thomas Hardie, EdD, PMHCNS-BC,

Ta ble 3: R E S U L T S (C O N T.) GENDER DIFFERENCES IN THE RELATIONSHIP BETWEEN ORGASMIC FUNCTIONING AND SEXUAL SATISFACTION Hillary L. Perlman 1, B.S.,

Method Introduction Results Discussion Mean Negative Cigarette Systoli Previous research has reported that across the nation 29% of college students engage.

1 Machismo as a determinant for HIV/STD risk behavior among Latino MSM Jacqueline L. Sears, MPH.

Background  Substance abusers are at risk for HIV and other STIs.  Anal intercourse (AI) is riskier than vaginal intercourse.  Studies of AI have focused.

Results from the STEAM Survey Elizabeth Barash, MPH.

Correlation Coefficients of Religious Orientation & Psychological Well-Being Participants 118 male and 381 female undergraduate students at Eastern Kentucky.

Measuring Sexual Compulsivity Among Young Adults Kimberly R. McBride, Ph.D. 1,2 & Michael Reece, Ph.D., MPH 2,3 1 Department of Pediatrics, Section of.

Women Control Male Romantic Partners to Pursue Extra Pair Partners INTRODUCTION MATE GUARDING AND MATE RETENTION Mate guarding controls with whom the female.

Anxiety Sensitivity and Pain Catastrophizing: Distinct Factors in Predicting Pain Susan T. Heinze, Jamie L. Elftman, W. Hobart Davies University of Wisconsin-Milwaukee.

Figure 3. Regression analysis with standardized beta weights. Panksepp (1998) identifies seven basic emotional systems found across mammalian species,

Method Participants  145 undergraduates: 38 men (26.2%) and 107 women (73.8%) earning research participation credit for Psychology courses  Recruited.

HIV Epidemic Status and Behavioral Surveillance among MSM in China Hua Xu, Chinese Preventive Medical Association Beichuan Zhang, Qingdao University Medical.

Ethnic Differences in HIV Disclosure and HIV Transmission Risk Jason D. P. Bird, MSW 1, David Fingerhut, MS, MA 2, David McKirnan, PhD 2, Christine M.

The Effects of Similarity in Sexual Excitation and Inhibition, and in the Effects of Mood on Sexuality, on Sexual Problems and Sexual Satisfaction in Newlywed.

Associations Between Recent Gender- Based Violence and Pregnancy, Sexually Transmitted Infections, Condom Use Practices, and Negotiation of Sexual Practices.

Condom Use and Anal Intercourse in Heterosexual Men and Women Kimberly R. McBride, Ph.D. 1,2,3 Erick Janssen, Ph.D. 2,4 1 Department of Pediatrics, Section.

Forced Sexual Violence and HIV Infection among MSM in Tamil Nadu Presented by Santosh Kumar Sharma On behalf of Rakesh Kumar Singh Ph.D Research Scholar.

Correlates of Never Using Condoms for Oral Sex Sara K. Head, MPH 1 Richard A. Crosby, PhD 1 Gregory Moore, MD 1 Adewale Troutman, MD 2 1 University of.

Attachment style and condom use across and within dating relationships

Testosterone Levels in Women and Men Who are Single, in Long-Distance Relationships, or Same-City Relationships Sari M. van Anders and Neil V. Watson Department.

Further Validation of the Personal Growth Initiative Scale – II: Gender Measurement Invariance Harmon, K. A., Shigemoto, Y., Borowa, D., Robitschek, C.,

R. Ross MacLean, Gabrielle E. Shishkoff & Stephen J. Wilson

Sexual Imagery & Thinking About Sex

METHODS AND PARTICIPANTS ANALYSES AND STUDY QUESTIONS

SAINT LOUIS UNIVERSITY

My, But We are Impressive

Sociosexuality and Perceptions of Partner Over Time

VACS Scientific Meeting Houston, TX February 2004

Presentation transcript:

Winters, J., Christoff, K., Lipovsky, L., and Gorzalka, B. B. Hypotheses 1.Participants that have sought treatment for sexual compulsivity/addiction, compared to those that have not, will score significantly greater on a measure of sexual compulsivity. However, they will also score greater on measures of sexual drive. 2.Sexual compulsivity will positively correlate with measures of sexual drive. The pattern of correlations will be the same for men and women, and for individuals that have sought treatment for sexual compulsivity/addiction. 3.Sexual compulsivity will not correlate any greater with sexual behaviours that increase risk of STI transmission than will measures of sexual drive. 4.Exploratory factor analysis, including sexual compulsivity and drive variables, will reveal a one factor structure. In other words, measures of sexual compulsivity and sexual drive measure a single construct. Method Participants completed an anonymous online survey, which included: Sample A total of sexually experienced male and female subjects participated. Of those, (73%) completed the entire set of survey measures. WomenMen Total N7800 (54.2%)6598 (45.8%) Age27.12 (7.42;18-92)30.75 (9.38; 18-94) Ethnicity Caucasian Asian Other 6467 (82.9%) 527 (6.6%) 815 (10.4%) 5738 (87.0%) 292 (4.4%) 567 (8.6%) Sexual Identity Heterosexual Bisexual Homosexual Other 5781 (74.1%) 1350 (17.3%) 168 (2.2%) 501 (6.4%) 5258 (79.7%) 461 (7.0%) 689 (10.4%) 190 (2.9%) Location United States Canada Other 4609 (59.4%) 2118 (27.3%) 1037 (13.4%) 4149 (63.3%) 1782 (17.2%) 621 (9.5%) Treatment for sexual compulsivity/addiction 69 (0.9%)108 (1.6%) Department of Psychology, University of British Columbia Background Interest in sexual compulsivity has increased substantially as it has been implicated in the spread of sexually transmitted infections (STIs), in particular HIV/AIDS (1-6). However, the various studies linking sexual compulsivity with STIs have not controlled for the influence of sexual drive. Also, some have suggested that sexual compulsivity may merely reflect sexual drive (3), and it is possible that the two constructs are not distinct. Analyses TreatSC Men and women differed significantly on all sexuality measures. Therefore, subsequent correlational and factor analyses were conducted separately for each sex. Likewise, male and female participants whom had sought treatment for sexual compulsivity/addiction (TreatSC) were treated as distinct groups. Two indices of risky sexual behaviour (RSB) were calculated: TNP TNP – total number of sexual partners, during the preceding three months, summed across three types of sexual behaviours (oral, vaginal and anal intercourse) FUS FUS – frequency of unprotected sex, during the preceding three months, summed across two types of sexual behaviours (vaginal and anal intercourse) Only those participants who were sexually active and non exclusive were included in RSB analyses (N=1927). SCS TNPFUS SCSTransTNPTransFUSTrans To help normalize highly positively skewed distributions for the SCS, TNP, and FUS, a log(10) transform was used (13). The transformed scores (SCSTrans, TNPTrans and FUSTrans) were included in ensuing correlational and factor analyses. SCSTransSESSDI2-DSDSDA2-SSD TreatSC Principal components exploratory factor analysis (EFA; 13) was used to determine the number of underlying latent variables accounting for the scores on and relationships among variables of interest (SCSTrans, SES, SDI2-DSD and SDA2-SSD). Oblique rotation allowed for input variables to correlate with each other during factor rotation, based on the theoretical assumption that sexuality variables would intercorrelate. Emergence of factors was determined by eigenvalues greater than one (13) and scree plots were examined as a means of confirmation. Male and female TreatSC participants were pooled since EFA requires large sample sizes. Only cases for which there was complete data were included in EFA analyses. an online consent form a demographics and general information questionnaire the Sexual Excitation/Sexual Inhibition Scales (SES/SIS; 7-9); two of three SES/SIS subscales were of interest: SES SES – propensity for sexual excitation SIS2 SIS2 – propensity for sexual inhibition due to threat of performance consequences (e.g. STIs, unwanted pregnancy, etc.) SDI- DSDSDI2-SSDthe Sexual Desire Inventory-2 (SDI2; 10); the SDI2 produces two subscales: dyadic sexual desire (SDI- DSD) and solitary sexual desire (SDI2-SSD) SCSthe Sexual Compulsivity Scale (SCS; 11) the Survey of Sexual Behaviours (SSB); the SSB measures partnered and solitary sexual behaviours TSOthe Total Sexual Outlet (TSO; 12); TSO is orgasms experienced per week, on average, over the preceding 6 months Results TreatSC Descriptive statistics, t tests and correlations for men and women, split into non TreatSC and TreatSC groups are presented below. Participants that had sought treatment for sexual compulsivity/addiction, when compared to those that had not, scored significantly higher on the sexual compulsivity, excitation and desire measures, and lower on the measure of sexual inhibition due to fear of performance consequences. Means (SD) Non TreatSC Means (SD) TreatSC t (df) SES Women55.74 (8.14)60.08 (8.23)3.90 (6400)*** Men58.37 (7.50)61.00 (7.92)3.21 (5380)** SIS2 Women31.07 (4.89)29.03 (5.70)-3.04 (6276)*** Men27.54 (4.79)26.32 (4.32)-2.32 (5242)* SDI2-DSD Women39.57 (9.85)42.57 (8.36)2.28 (6618)* Men44.06 (8.70)46.95 (9.09)2.99 (5439)** SDI2-SSD Women12.17 (6.13)14.18 (5.87)2.44 (6619)* Men14.36 (5.08)15.96 (4.62)2.84 (5441)** SCS Women1.42 (.42)2.06 (.76)6.66 (56.31)*** Men1.65 (.49)2.43 (.79)9.09 (85.01)*** TSO Women5.59 (9.12)9.72 (8.87)1.63 (55.22) Men7.71 (8.94)8.47 (11.10).78 (5509) TNP Women3.45 (8.76)8.91 (23.65)1.70 (53.12) Men4.40 (22.68)4.02 (4.75)-1.55 (5299) FUS Women18.5 (51.45)24.61 (45.38).86 (6602) Men19.47 (63.48)14.49 (18.31)-.722 (5292) Means * p<.05, ** p<.01, ***p<.005 TreatSC Across sub samples of men and women, and people who have sought treatment for sexual compulsivity/addiction, indicators of sexual drive correlated positively with sexual compulsivity. The pattern of correlations was similar for men, women and TreatSC sub samples. SCSTransSESSIS2SDI2-DSDSDI2-SSD SES.442**.342** SIS ** -.145** -.245** -.187** SDI2-DSD,432**.366**.596**.520** -.227** -.231** SDI2-SSD.292**.217**.419**.341** -.179** -.089**.349**.278** TSO.142**.121*.125**.089** -.108** -.099**.170**.144**.154**.168** SCSTransSESSIS2SDI2-DSDSDI2-SSD SES.433**.339** SIS * * SDI2-DSD.380**.376**.420**.488** SDI2-SSD * ** TSO.373** * * SES SDI2-DSD Solitary sexual desire did not correlate with either indicator of RSB. Sexual compulsivity was unrelated to frequency of unprotected sex and only dyadic sexual desire did. Sexual compulsivity and two sexual drive variables (SES and SDI2-DSD) positively correlated with number of sexual partners. However, for both men and women, the correlation between sexual compulsivity and number of sexual partners did not differ significantly from the correlations of sexual excitation and dyadic sexual desire with number of sexual partners. Sexual inhibition due to threat of performance consequences correlated negatively with both markers of RSB. FUSTransTNPTrans SCSTrans **.174** SES **.128** SIS * -.142** -.122** -.128** SDI2-DSD.096*.171**.153**.242** SDI2-SSD Correlations: RSB Exploratory factor analysis produced a one factor solution for all groups. Component Eigenvalues WomenMenTreatSC Component Matrices (Loadings) WomenMenTreatment SCSTrans SES SDI-DSD SDI-SSD * p<.05, ** p<.01; women: red, men: blue Correlations: NonTreatSC Correlations: Non TreatSC Correlations: TreatSC * p<.05, ** p<.01; women: red, men: blue z =.84, p>.05 z =.87, p>.05 z =.46, p>.05 z =.71, p>.05 Conclusion All four hypotheses were supported by our data. Taken together, our results suggest that sexual compulsivity, as it is currently conceptualized and measured, may simply be a marker of high sexual drive. Additionally, it appears that high sexual drive may be able to account for the relationship between sexual compulsivity and risky sexual behaviour. * p<.05, ** p<.01; women: red, men: blue SCSTrans TNPTrans SES TNPTrans SCSTrans SDI2-DSD EFA Eigenvalues Contact information: Jason Winters Department of Psychology University of British Columbia 2136 West Mall Vancouver, BC V6T 1Z4 References 1.Benotsch, E. G., Kalichman, S. C., & Kelly, J. A. (1999). Sexual compulsivity and substance use in HIV seropositive men who have sex with men: Prevalence and predictors of high-risk behaviors. Addictive Behaviors, 24, Benotsch, E. G., Kalichman, S. C., & Pinkerton, S. D. (2001). Sexual compulsivity in HIV-positive men and women: Prevalence, predictors, and consequences of high-risk behaviors. Sexual Addiction and Compulsivity: Journal of Treatment and Prevention, 8, Dodge, B., Reece, M., Cole, S. L., & Sandford, T. G. M. (2004). Sexual compulsivity among heterosexual college students. Journal of Sex Research, 41(4), Kalichman, S. C., & Cain, D. (2004). The relationship between indicators of sexual compulsivity and high risk sexual practices among men and women receiving services from a sexually transmitted infection clinic. Journal of Sex Research, 41(3), Kalichman, S. C., Greenberg, J., & Able, G. G. (1997a). HIV-seropositive men who engage in high-risk sexual behavior: Psychological characteristics and implications for prevention. AIDS Care, 9, Kalichman, S. C., Greenberg, J., & Able, G. G. (1997b). Sexual compulsivity among HIV positive men who engage in high-risk sexual behavior with multiple partners: An exploratory study. AIDS Care, 9, Janssen, E., Vorst, H., Finn, P., & Bancroft, J. (2002a). The sexual inhibition (SIS) and sexual excitation (SES) scales: I. Measuring sexual inhibition and excitation proneness in men. Journal of Sex Research, 39(2), Janssen, E., Vorst, H., Finn, P., & Bancroft, J. (2002b). The sexual inhibition (SIS) and sexual excitation (SES) scales: Ii. Predicting psychophysiological response patterns. Journal of Sex Research, 39(2), Carpenter, D. L., Janssen, E., Graham, C. A., Vorst, H., & Wicherts, J. (2006). Estimating the factor structure, reliability, and validity of women’s scores on the Sexual Inhibition/Sexual Excitation Scales (SIS/SES). Manuscript submitted for publication. 10.Spector, I. P., Carey, M. P., & Steinberg, L. (1996). The sexual desire inventory: Development, factor structure, and evidence of reliability. Journal of Sex and Marital Therapy, 22, Kalichman, S. C., & Rompa, D. (1995). Sexual sensation seeking and sexual compulsivity scales: Reliability, validity, and predicting HIV risk behavior. Journal of Personality Assessment, 65(3), Kafka, M. P. (1997). Hypersexual desire in males: An operational definition and clinical implications for males with paraphilias and paraphilia-related disorders. Archives of Sexual Behavior, 26(5), Glass, G. V., & Hopkins, K. D. (1996). Statistical methods in psychology and education (3rd ed.). Needham Heights, MA: Allyn & Bacon.