57 research outputs found
HIV infection and sexual risk among men who have sex with men and women (MSMW): A systematic review and meta-analysis
Objectives: To estimate the number of men who have sex with men and women who are HIV-positive in the United States, and to compare HIV prevalence rates between men who have sex with men and women, men who have sex with men only, and men who have sex with women exclusively. Methods: Following PRISMA guidelines, we conducted a systematic review and meta-analysis of reports referencing HIV prevalence and men who have sex with men and women. We searched PubMed and Ovid PsycINFO for peer-reviewed, U.S.-based articles reporting on HIV prevalence among men who have sex with men and women. We conducted event rate, effect size, moderation and sensitivity analyses. Results: We estimate that 1.0% of U.S. males are bisexually-behaving, and that 121,800 bisexually-behaving men are HIV-positive. Men who have sex with men and women are less than half as likely to be HIV-positive as men who have sex with men only (16.9% vs. 33.3%; OR = 0.41, 95% CI: 0.31, 0.54), but more than five times as likely to be HIV-positive as men who have sex with women exclusively (18.3% vs. 3.5%; OR = 5.71, 95% CI: 3.47, 9.39). They are less likely to engage in unprotected receptive anal intercourse than men who have sex with men only (15.9% vs. 35.0%; OR = 0.36, 95% CI: 0.28, 0.46). Men who have sex with men and women in samples with high racial/ethnic minority proportions had significantly higher HIV prevalence than their counterparts in low racial/ethnic minority samples. Conclusions: This represents the first meta-analysis of HIV prevalence in the U.S. between men who have sex with men and women and men who have sex with men only. Data collection, research, and HIV prevention and care delivery specifically tailored to men who have sex with men and women are necessary to better quantify and ameliorate this population's HIV burden. © 2014 Friedman et al
Prevalence of COVID-19-Related Social Disruptions and Effects on Psychosocial Health in a Mixed-Serostatus Cohort of Men and Women.
Someone to count on: social support as an effect modifier of viral load suppression in a prospective cohort study
Stability of Bisexual Behavior and Extent of Viral Bridging Behavior Among Men Who Have Sex with Men and Women
Effects of syndemics on HIV viral load and medication adherence in the multicentre AIDS cohort study
Assessing HIV-Related Stigma in Healthcare Settings in the Era of the COVID-19 Pandemic, Pittsburgh, Pennsylvania
The longitudinal impact of employment, retirement and disability status on depressive symptoms among men living with HIV in the Multicenter AIDS Cohort Study.
Many persons living with HIV (PLWH) either reduced their employment capacity or stopped work completely due to disease progression. With the advent of effective antiretroviral therapy, some PLWH were able to return to the workforce and many are now transitioning into retirement. We examined the histories of employment, retirement and disability status on depression among 1,497 Participants living with HIV from 1997 to 2015 in the Multicenter AIDS Cohort Study. Data were collected on depressive symptoms, employment, retirement, disability status as well as HIV-related and sociodemographic characteristics. Employment, retirement and disability status were lagged 2 years to assess whether the risk of depression at a given observation were temporally predicted by each respective status, adjusting for prior depressive symptoms and covariates. Being employed (aOR: 0.76; 95% CI: 0.71-0.82) had lower odds of depression risk two years later compared to those unemployed. There were higher odds of depression risk associated with disability (aOR: 1.43; 95% CI: 1.32-1.54) versus those not on disability. Retirement status was not associated with the risk of depressive symptoms. These findings could help inform policies and employment programs to facilitate the return to work for PLWH who are willing and able to work
Observation of public sentiment toward human papillomavirus vaccination on Twitter
Background: Although human papillomavirus (HPV) is a vaccine-preventable illness, many individuals continue to resist vaccination for themselves and their children. We aimed to systematically analyze Twitter messages to obtain a unique view into public sentiment around HPV vaccination. Methods: We developed a Python-based tool to collect one week of live tweets from February 7–13, 2015 using Twitter’s automated programming interface. We retrieved data related to the HPV vaccine via 22 purposefully-selected key search terms. We developed a codebook using a hybrid approach that involved both a grounded theory approach and the addition of several key important codes based on prior work. Two trained coders independently coded tweets, and interrater reliability was compared using Gwet’s AC1. Results: We collected 20,408 usable tweets. To maintain feasibility, we used a computerized random generator to obtain a sub-sample of 2,000 of these tweets for in-depth qualitative coding. The four categories that accounted for the largest proportion of tweets included news and media coverage of current events related to the HPV vaccine, discussion of possible associations between receiving the vaccine and sexual behavior, safety of the vaccine, and effectiveness of the vaccine. Multiple inaccurate myths surrounding the vaccine, such as the misconception that it is only appropriate for females, were noted. Conclusions: Examination of Twitter chatter around HPV vaccination offers valuable insights, particularly into barriers around vaccination. It would be valuable to develop interventions aimed at countering misinformation promoted on this medium and augmenting valuable information found on it
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Examination of Polypharmacy Trajectories Among HIV-Positive and HIV-Negative Men in an Ongoing Longitudinal Cohort from 2004 to 2016
Polypharmacy is the concurrent use of five or more medications. We used group-based trajectory analysis to identify groups of non-HIV medication polypharmacy and investigate associated risk factors among HIV-positive and HIV-negative men in the Multicenter AIDS Cohort Study (MACS) from 2004 to 2016. Each participant was assigned to mutually exclusive groups based on their observed patterns of polypharmacy over time. Risk factors associated with membership with resulting groups were investigated using a multinomial generalized logit model with repeated measures. There were 3160 participants (54.3% HIV positive) included in the study. The overall prevalence of polypharmacy was 33.1% and was higher in HIV-positive than HIV-negative participants (36.2% vs. 30.0%; p < 0.001). Four distinct groups of polypharmacy emerged over time among all participants and among HIV-positive participants only: (1) nonpolypharmacy, (2) slow increasing polypharmacy, (3) rapid increasing polypharmacy, and (4) sustained polypharmacy. Being HIV positive, being 50 years of age or older, having medication insurance coverage, and having increased health care use were positively associated with membership in groups with sustained or increasing polypharmacy. Half of participants in each analysis had membership in one of the three high polypharmacy groups. This study revealed that access to care, through medication insurance coverage and health care use, was a key driver of polypharmacy in this cohort. Further exploration of medically appropriate and inappropriate prescribing practices in the context of polypharmacy and its impact on health outcomes in this and other populations is warranted
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