AIM: We conducted a meta-analysis to evaluate the prevalence of sexual dysfunction among male patients on methadone and buprenorphine treatments.
METHODS: Relevant studies published from inception until December 2012 were identified by searching PubMed, OVID, and Embase. Studies were selected using prior defined criteria. Heterogeneity, publication bias, and odds ratio were assessed thoroughly.
MAIN OUTCOME MEASURES: To examine the prevalence and odds ratio of sexual dysfunctions among the methadone and buprenorphine groups.
RESULTS: A total of 1,570 participants from 16 eligible studies were identified in this meta-analysis. The studies provided prevalence estimates for sexual dysfunction among methadone users with a meta-analytical pooled prevalence of 52% (95% confidence interval [CI], 0.39-0.65). Only four studies compared sexual dysfunction between the two groups, with a significantly higher combined odds ratio in the methadone group (OR = 4.01, 95% CI, 1.52-10.55, P = 0.0049).
CONCLUSIONS: Evidence showed that the prevalence of sexual dysfunction was higher among the users of methadone compared with buprenorphine. Patients with sexual difficulty while on methadone treatment were advised to switch to buprenorphine.
AIM: To assess plasma testosterone and sexual function in Southeast Asian men on methadone maintenance treatment (MMT) or buprenorphine maintenance treatment (BMT).
METHODS: 76 sexually active men on MMT (mean age = 43.30 ± 10.32 years) and 31 men on BMT (mean age = 41.87 ± 9.76 years) from a Southeast Asian community were evaluated using plasma total testosterone (TT) and prolactin levels, body mass index, social demographics, substance use measures, and depression severity scale.
OUTCOMES: Prevalence and associated factors of TT level lower than the reference range in men on MMT or BMT.
RESULTS: More than 1 third of men (40.8%, n = 31) on MMT had TT levels lower than the reference range, whereas 1 fourth of men (22.6%, n = 7) on BMT did. At univariate analysis, MMT vs BMT (β = 0.298, adjusted R2 = 0.08, P = .02) and body mass index (β = -0.23, adjusted R2 = 0.12, P = .02) were associated with changes in TT after stepwise regression. There were no significant associations with age; Opiate Treatment Index Q scores for alcohol, heroin, stimulant, tobacco, or cannabis use and social functioning domain; education levels; hepatitis C status; and severity of depression. Prolactin level did not differ between the MMT and BMT groups.
CLINICAL IMPLICATIONS: The sex hormonal assay should be used regularly to check men on MMT.
STRENGTHS AND LIMITATIONS: This is the first study conducted in the Southeast Asian community. Our study was limited by the lack of a healthy group as the reference for serum levels of testosterone and prolactin.
CONCLUSIONS: The findings showed that plasma testosterone levels are lower in MMT than in BMT users. Hence, men who are receiving MMT should be screened for hypogonadism routinely in the clinical setting. Yee A, Loh HS, Danaee M, et al. Plasma Testosterone and Sexual Function in Southeast Asian Men Receiving Methadone and Buprenorphine Maintenance Treatment. J Sex Med 2018;15:159-166.
AIM: To review the prevalence and factors associated with sexual abstinence in young (10-24 years) and middle-aged (25-59 years) men.
METHODS: Studies were retrieved from Science Direct, PubMed, and EBSCOhost published from 2008 to 2019. The selection criteria were original population- or community-based articles, published in the English language, on sexual abstinence, and in young and middle-aged men.
MAIN OUTCOME MEASURE: This article reviewed the literature on the proportions of and factors associated with sexual abstinence in young and middle-aged men.
RESULTS: A total of 13,154 studies were retrieved, from which data were extracted for 37 population- or community-based studies. The prevalence of sexual abstinence varied from 0% to 83.6% in men younger than 60 years. The prevalence of primary sexual abstinence was 3.4%-83.3% for young men and 12.5%-15.5% for middle-aged men. The prevalence of secondary abstinence for young men ranged from 1.3% to 83.6%, while for middle-aged men, it was from 1.2% to 67.7%. The prevalence of sexual abstinence decreased with increasing age in young men but increased with increasing age in middle-aged men. The significant factors reported were age, single status, poor relationships, low socioeconomic status, sex education, religious practices, caring and monitoring parents, and not using alcohol, cigarettes, or drugs. Although the variations in findings from different studies can be explained by different regions and cultures, the information cannot be generalized worldwide because of a lack of studies in Asian and Australian populations.
CLINICAL IMPLICATIONS: The studies on sexual abstinence in the future should use a consistent and standard definition, cover all sexual behaviors, and investigate all related factors.
STRENGTH & LIMITATIONS: The restricted timeframe (2008-2019), English language, availability of full text, and variability in definition and time duration may be the sources of bias.
CONCLUSION: Young men had higher proportions of sexual abstinence than middle-aged men, and age, unavailability of a partner, lower educational levels, low socioeconomic status, conservative and religious conditions, and no or less knowledge about sexually transmitted infections were common predictors of sexual abstinence in most of the men. Although determinants of sexual abstinence were identified, further investigation of biological factors in men younger than 60 years is needed. Irfan M, Hussain NHN, Noor NM, et al. Sexual Abstinence and Associated Factors Among Young and Middle-Aged Men: A Systematic Review. J Sex Med 2020;17:412-430.
AIM: Thus, the present study assessed the associations among physical activity, sedentary behavior, and weight status with sexual activity and number of previous sexual partners in a representative sample of U.S. adults.
METHODS: Data on leisure time physical activity, total sitting time, weight status, sexual behavior outcomes, and other characteristics were extracted from the National Health and Nutrition Study cycle 2007 to 2016. Logistic regression models were used to evaluate associations among body mass index, leisure time physical activity, and total sitting time with past-year sexual activity and number of sexual partners.
MAIN OUTCOME MEASURE: Self reported frequency of past-year sexual activity and number of sex partners in the past year.
RESULTS: In a sample of 7,049 men (mean age: 38.3 ± 0.3 years) and 7,005 women (mean age: 38.7 ± 0.2 years) being overweight was associated with higher odds of frequent sexual activity (OR = 1.5; 95% CI = 1.2-1.7) among men, but lower odds among women (OR = 0.8; 95% CI = 0.6-0.9). Sufficient physical activity was associated with higher odds of frequent sexual activity among both men (OR = 1.3; 95% CI = 1.1-1.5) and women (OR = 1.2; 95% CI = 1.0-1.4). In those living alone, being obese was associated with lower odds of having at least 1 sexual partner for men (OR = 0.7; 95% CI = 0.5-0.9) and women (OR = 0.6; 95% CI = 0.4-0.8). Being sufficiently physically active was associated with higher odds of having at least 1 sexual partner only in men (OR = 1.6; 95% CI = 1.2-2.2).
CLINICAL IMPLICATIONS: Healthcare professionals need to be made aware of these results, as they could be used to plan tailored interventions.
STRENGTHS & LIMITATIONS: Strengths include the large, representative sample of U.S. adults and objective measures of anthropometry. Limitations include the cross-sectional design of the study and that all variables on sexual history were self-reported.
CONCLUSION: The present study identifies novel modifiable behavioral and biological antecedents of sexuality outcomes. Grabovac I, Cao C, Haider S, et al. Associations Between Physical Activity, Sedentary Behavior and Weight Status With Sexuality Outcomes: Analyses from National Health and Nutrition Examination Survey. J Sex Med 2020;17:60-68.