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Ge R, Chen L, Chen W, He L, Chai C, Zhu G, Chen Z. Comparison of human immunodeficiency virus-related risky sexual behaviors between men who have sex with men only and men who have sex with men and women: A cross-sectional study in Eastern China. Prev Med Rep 2024; 48:102923. [PMID: 39555239 PMCID: PMC11565550 DOI: 10.1016/j.pmedr.2024.102923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 10/26/2024] [Accepted: 10/27/2024] [Indexed: 11/19/2024] Open
Abstract
Background Men who have sex with men (MSM) are a significant population contributing to human immunodeficiency virus (HIV) transmission. Nevertheless, few studies have focused on the heterogeneity in MSM. The characteristics of men who have sex with men and women (MSMW) may differ from men who have sex with men only (MSMO). Methods From October 2022 to March 2023, a cross-sectional study for MSM was conducted in Eastern China. An electronic questionnaire was used to collect the demographic characteristics and sexual behaviors of participants. A multivariable logistic regression model was used to assess the differences in HIV-related risky sexual behaviors between MSMO and MSMW. Results A total of 1993 MSM were enrolled in the study, with 1221 MSMO and 772 MSMW. Compared to MSMW, MSMO reported younger age at first anal sex, higher coerced homosexual experiences, and observed different characteristics of sexual behavior in the past six months. Multivariable analysis indicated that MSMW were more likely to seek casual partners and use stimulants online and offline. MSMW showed inconsistent condom use with online partners (aOR = 0.51, 95 %CI: 0.38-0.68) and more frequent anal sex after drinking (aOR = 2.27, 95 %CI: 1.54-3.35). They also had higher risks of commercial (aOR = 2.47, 95 %CI: 1.71-3.57) and group sexual behaviors (aOR = 1.88, 95 %CI: 1.24-2.83) compared to MSMO. Conclusion Our findings suggest that the differential factors may lead MSMW to become a subgroup at high risk of HIV infection. The gender identity and sexual orientation within MSM should be considered when formulating acquired immune deficiency syndrome (AIDS) prevention and control strategies.
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Affiliation(s)
- Rui Ge
- Jiaxing Center for Disease Control and Prevention, Jiaxing, Zhejiang Province, China
| | - Lin Chen
- Department of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Wanjun Chen
- Department of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Lin He
- Department of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Chengliang Chai
- Department of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Guoying Zhu
- Jiaxing Center for Disease Control and Prevention, Jiaxing, Zhejiang Province, China
| | - Zhongwen Chen
- Jiaxing Center for Disease Control and Prevention, Jiaxing, Zhejiang Province, China
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Goodreau SM, Stansfield SE, Mittler JE, Murphy JT, Abernethy NF, Gottlieb GS, Reid MC, Burke JC, Pollock ED, Herbeck JT. Why does age at HIV infection correlate with set point viral load? An evolutionary hypothesis. Epidemics 2022; 41:100629. [PMID: 36162386 PMCID: PMC9807138 DOI: 10.1016/j.epidem.2022.100629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 07/29/2022] [Accepted: 09/20/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Set-point viral load (SPVL) correlates with the age at which people acquire HIV. Although immunosenescence may seem like a parsimonious explanation for this, it does not easily explain the observation that the relationship between age and SPVL attenuates when accounting for source partner SPVL. Here we propose an alternative explanation that encompasses this latter finding: that decreasing risk of acquisition with older age generates a selection bottleneck that selects for more virulent strains with age. METHODS We adapted a previously published model of HIV transmission and evolution (EvoNetHIV), parameterized here for men who have sex with men (MSM). We conducted a series of simulation experiments that vary seven behavioral or clinical parameters that affect exposure risk as people age. We conducted regressions to determine the mean increase in SPVL per 10-year increase in seroconversion age, with and without source SPVL in the model. RESULTS All runs generated significant relationships between seroconversion age and SPVL when not including source SPVL. All saw attenuated relationships, most to near 0, with source SPVL included. Four of our behavioral measures (relational duration, age-related homophily, coital frequency, and mean age at relationship formation) had clear effects on this relationship, all in the hypothesized direction. Combining multiple forms of behavioral heterogeneity yielded an increase of 0.056 log10 copies/mL SPVL per 10-year increase in seroconversion age, nearly as large as that seen in two empirical studies of age-SPVL correlations in MSM. CONCLUSION The higher virulence of HIV among those infected later in life may be partly explained by a combination of selective bottlenecks and behavioral heterogeneity by age. Variation in the strength of this effect across populations may be in part due to different behavioral, epidemiological and clinical conditions, and not require assumptions about differences in patterns of immunosenescence among populations.
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Affiliation(s)
- Steven M Goodreau
- Departments of Anthropology & Epidemiology, University of Washington, Seattle, WA 98195, USA.
| | - Sarah E Stansfield
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - John E Mittler
- Department of Microbiology, University of Washington, Seattle, WA 98195, USA
| | - James T Murphy
- Department of Microbiology, University of Washington, Seattle, WA 98195, USA
| | - Neil F Abernethy
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, USA
| | - Geoffrey S Gottlieb
- Departments of Medicine & Global Health, Center for Emerging & Re-Emerging Infectious Diseases, University of Washington, Seattle, WA 98195, USA
| | - Molly C Reid
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
| | - Juandalyn C Burke
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, USA
| | - Emily D Pollock
- Department of Anthropology, University of Washington, Seattle, WA 98195, USA
| | - Joshua T Herbeck
- Department of Global Health, University of Washington, Seattle, WA 98195, USA
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Stansfield SE, Herbeck JT, Gottlieb GS, Abernethy NF, Murphy JT, Mittler JE, Goodreau SM. Test-and-treat coverage and HIV virulence evolution among men who have sex with men. Virus Evol 2021; 7:veab011. [PMID: 33633867 PMCID: PMC7893213 DOI: 10.1093/ve/veab011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
HIV set point viral load (SPVL), the viral load established shortly after initial infection, is a proxy for HIV virulence: higher SPVLs lead to higher risk of transmission and faster disease progression. Three models of test-and-treat scenarios, mainly in heterosexual populations, found that increasing treatment coverage selected for more virulent viruses. We modeled virulence evolution in a population of men who have sex with men (MSM) with increasing test-and-treat coverage. We extended a stochastic, dynamic network model (EvoNetHIV). We varied relationship patterns (MSM vs. heterosexual), HIV transmission models (increasing vs. plateauing probability of transmission at very high viral loads), and treatment roll-out (with explicit testing or fixed intervals between infection and treatment). In scenarios most similar to previous models (longer relational durations and the plateauing transmission function), we replicated trends previously found: increasing treatment coverage led to increased virulence (0.12 log10 increase in mean population SPVL between 20% and 100% treatment coverage). In scenarios reflecting MSM behavioral data using the increasing transmission function, increasing treatment coverage selected for viruses with lower virulence (0.16 log10 decrease in mean population SPVL between 20% and 100% treatment coverage). These findings emphasize the impact of sexual network conditions and transmission function details on predicted epidemiological and evolutionary outcomes. Varying these features creates very different evolutionary environments, which in turn lead to opposite effects in mean population SPVL evolution. Our results suggest that, under some realistic conditions, effective test-and-treat strategies may not face the previously reported tradeoff in which increasing coverage leads to evolution of greater virulence. This suggests instead that a virtuous cycle of increasing treatment coverage and diminishing virulence is possible.
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Affiliation(s)
- Sarah E Stansfield
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, USA
| | - Joshua T Herbeck
- Department of Global Health, University of Washington, Seattle, WA 98195, USA
| | - Geoffrey S Gottlieb
- Departments of Medicine & Global Health, University of Washington, Seattle, WA 98195, USA
| | - Neil F Abernethy
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, USA
| | - James T Murphy
- Department of Microbiology, University of Washington, Seattle, WA 98195, USA
| | - John E Mittler
- Department of Microbiology, University of Washington, Seattle, WA 98195, USA
| | - Steven M Goodreau
- Department of Anthropology, University of Washington, Seattle, WA 98195, USA
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Mittler JE, Murphy JT, Stansfield SE, Peebles K, Gottlieb GS, Abernethy NF, Reid MC, Goodreau SM, Herbeck JT. Large benefits to youth-focused HIV treatment-as-prevention efforts in generalized heterosexual populations: An agent-based simulation model. PLoS Comput Biol 2019; 15:e1007561. [PMID: 31846456 PMCID: PMC6938382 DOI: 10.1371/journal.pcbi.1007561] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 12/31/2019] [Accepted: 11/23/2019] [Indexed: 01/05/2023] Open
Abstract
Predominantly heterosexual HIV-1 epidemics like those in sub-Saharan Africa continue to have high HIV incidence in young people. We used a stochastic, agent-based model for age-disparate networks to test the hypothesis that focusing uptake and retention of ART among youth could enhance the efficiency of treatment as prevention (TasP) campaigns. We used the model to identify strategies that reduce incidence to negligible levels (i.e., < 0.1 cases/100 person-years) 20-25 years after initiation of a targeted TasP campaign. The model was parameterized using behavioral, demographic, and clinical data from published papers and national reports. To keep a focus on the underlying age effects we model a generalized heterosexual population with average risks (i.e., no MSM, no PWIDs, no sex workers) and no entry of HIV+ people from other regions. The model assumes that most people (default 95%, range in variant simulations 60-95%) are "linkable"; i.e., could get linked to effective care given sufficient resources. To simplify the accounting, we assume a rapid jump in the number of people receiving treatment at the start of the TasP campaign, followed by a 2% annual increase that continues until all linkable HIV+ people have been treated. Under historical scenarios of CD4-based targeted ART allocation and current policies of untargeted (random) ART allocation, our model predicts that viral replication would need to be suppressed in 60-85% of infected people at the start of the TasP campaign to drive incidence to negligible levels. Under age-based strategies, by contrast, this percentage dropped by 18-54%, depending on the strength of the epidemic and the age target. For our baseline model, targeting those under age 30 halved the number of people who need to be treated. Age-based targeting also minimized total and time-discounted AIDS deaths over 25 years. Age-based targeting yielded benefits without being highly exclusive; in a model in which 60% of infected people were treated, ~87% and ~58% of those initiating therapy during a campaign targeting those <25 and <30 years, respectively, fell outside the target group. Sensitivity analyses revealed that youth-focused TasP is beneficial due to age-related risk factors (e.g. shorter relationship durations), and an age-specific herd immunity (ASHI) effect that protects uninfected adolescents entering the sexually active population. As testing rates increase in response to UNAIDS 90-90-90 goals, efforts to link all young people to care and treatment could contribute enormously to ending the HIV epidemic.
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Affiliation(s)
- John E. Mittler
- Department of Microbiology, University of Washington, Seattle, WA, United States of America
| | - James T. Murphy
- Department of Microbiology, University of Washington, Seattle, WA, United States of America
- Department of Anthropology, University of Washington, Seattle, WA, United States of America
| | - Sarah E. Stansfield
- Department of Anthropology, University of Washington, Seattle, WA, United States of America
- Department of Epidemiology, University of Washington, Seattle, WA, United States of America
| | - Kathryn Peebles
- Department of Epidemiology, University of Washington, Seattle, WA, United States of America
| | - Geoffrey S. Gottlieb
- Department of Medicine, University of Washington, Seattle, WA, United States of America
- Department of Global Health, University of Washington, Seattle, WA, United States of America
| | - Neil F. Abernethy
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States of America
- Department of Health Services, University of Washington, Seattle, WA, United States of America
| | - Molly C. Reid
- Department of Global Health, University of Washington, Seattle, WA, United States of America
| | - Steven M. Goodreau
- Department of Anthropology, University of Washington, Seattle, WA, United States of America
- Center for Studies in Demography and Ecology, University of Washington, Seattle, WA, United States of America
| | - Joshua T. Herbeck
- Department of Global Health, University of Washington, Seattle, WA, United States of America
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Fritz C, Lebacher M, Kauermann G. Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time. STAT NEERL 2019. [DOI: 10.1111/stan.12198] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Cornelius Fritz
- Department of StatisticsLudwig‐Maximilians‐Universität München Munich Germany
| | - Michael Lebacher
- Department of StatisticsLudwig‐Maximilians‐Universität München Munich Germany
| | - Göran Kauermann
- Department of StatisticsLudwig‐Maximilians‐Universität München Munich Germany
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