Sexual dysfunction is a common long-term complication of hematopoietic stem cell transplantation (HSCT). We assessed the extent to which HSCT survivors and their partners agree on the importance of and satisfaction with sexual activity and causes of sexual dysfunction, using a cross-sectional survey. Ratings of the importance of sexual activity were significantly higher in survivors than those of partners (2.57 vs. 2.14, P < 0.01). More survivors (48.4%) tried to discuss about sexuality with their partners than partners themselves (23.1%, P < 0.01). Male survivors were more likely to be sexually active than female survivors (odds ratio [OR] 5.04, 95% CI 1.85, 13.74). While 23.3 and 38% of male survivors and partners reported "rejection of partners" as a cause of sexual dysfunction, only 13.3% and none of female partners and survivors pointed this as a cause of sexual dysfunction respectively. There was poor concordance between survivors and partners in attitudes toward sexuality, satisfaction with sexual activity, and causes of sexual dysfunction. Couples who considered adequate sexual activity important were more likely to be sexually active than those who did not (OR 5.53, 95% CI 1.18, 25.89). Our study highlights the need for providing information and counselling about sexuality both to survivors and partners.
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http://dx.doi.org/10.1038/s41409-018-0097-5 | DOI Listing |
AIDS
January 2025
Center for Biomedical Modeling, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA.
Objectives: To predict the burden of HIV in the United States (US) nationally and by region, transmission type, and race/ethnicity through 2030.
Methods: Using publicly available data from the CDC NCHHSTP AtlasPlus dashboard, we generated 11-year prospective forecasts of incident HIV diagnoses nationally and by region (South, non-South), race/ethnicity (White, Hispanic/Latino, Black/African American), and transmission type (Injection-Drug Use, Male-to-Male Sexual Contact (MMSC), and Heterosexual Contact (HSC)). We employed weighted (W) and unweighted (UW) n-sub-epidemic ensemble models, calibrated using 12 years of historical data (2008-2019), and forecasted trends for 2020-2030.
J Adolesc Health
January 2025
Mathematica Inc., Princeton, New Jersey.
This review examined research to identify longitudinal predictors of adolescent sexual behavior outcomes. These predictors hold promise as potential outcomes for teen pregnancy prevention program evaluations when measuring sexual behavior outcomes is infeasible or theoretically, methodologically, or developmentally inappropriate. We conducted a systematic review using a prespecified search strategy and processes consistent with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.
View Article and Find Full Text PDFSex Res Social Policy
December 2024
Institute for Sexual and Gender Minority Health and Wellbeing, Northwestern University, 625 N. Michigan Avenue, Suite 1400, Chicago, IL 60611, USA.
Introduction: This qualitative study examined adolescents' first experiences with HIV testing.
Methods: Data were collected from April 2018 to October 2020 as part of an HIV prevention and sex education intervention; SGM adolescents ( = 175) answered open-ended questions regarding experiences with their first HIV test and advice for other adolescents seeking HIV testing. Data were analyzed through inductive content analysis.
Cureus
December 2024
Obstetrics and Gynecology, Wright State University Boonshoft School of Medicine, Dayton, USA.
Ben Wa balls are often used for sexual pleasure and pelvic floor exercise. However, their use can lead to complications, including retention within the vagina. We present a case of a 64-year-old female, status post-hysterectomy 20 years prior, who experienced the loss of a Ben Wa ball during sexual activity.
View Article and Find Full Text PDFFront Public Health
January 2025
School of Mathematics, Physics and Computing, Centre for Health Research, University of Southern Queensland, Toowoomba, QLD, Australia.
A novel automatic framework is proposed for global sexually transmissible infections (STIs) and HIV risk prediction. Four machine learning methods, namely, Gradient Boosting Machine (GBM), Random Forest (RF), XG Boost, and Ensemble learning GBM-RF-XG Boost are applied and evaluated on the Demographic and Health Surveys Program (DHSP), with thirteen features ultimately selected as the most predictive features. Classification and generalization experiments are conducted to test the accuracy, F1-score, precision, and area under the curve (AUC) performance of these four algorithms.
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