| Title |
A Latent Class Analysis of Seroadaptation Among Gay and Bisexual Men
|
|---|---|
| Published in |
Archives of Sexual Behavior, December 2016
|
| DOI | 10.1007/s10508-016-0879-z |
| Pubmed ID | |
| Authors |
Kiffer G. Card, Nathan J. Lachowsky, Zishan Cui, Allison Carter, Heather Armstrong, Susan Shurgold, David Moore, Robert S. Hogg, Eric A. Roth |
| Abstract |
Initial research into seroadaptive strategies suggests that, individually, they are potentially effective behavioral methods to reduce risk of HIV transmission. Combining strategies, therefore, has the potential to increase risk reduction. The aim of this study was to determine how gay and bisexual men (GBM) combine strategies. To this end, a total of 774 sexually active GBM, aged ≥16 years, in Metro Vancouver, Canada, were recruited. Grouped by self-reported HIV status, latent class analysis of self-reported condom use, strategic positioning, anal sex avoidance, serosorting, viral-load sorting, and withdrawal were conducted. Multinomial logistical regression identified explanatory variables of class membership (i.e., sensation seeking, treatment optimism, sexual altruism, relationship status, number of partners, anal sex preference). Four latent classes were identified: Condom Users, Multiple Prevention Users, Viral-Load Sorters, and Serosorters. The majority of HIV-negative/unknown men (72 %) and a large proportion of HIV-positive men (42 %) belonged to the Condom Users class. Class membership was associated with age, relationship status, treatment optimism, sexual altruism, sensation seeking, number of recent male anal sex partners, and recent condomless anal sex with a serodiscordant or unknown-status partner. Understanding these distinct patterns allows for tailored interventions addressing GBM's sexual health needs. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 13% |
| Student > Bachelor | 7 | 11% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Master | 3 | 5% |
| Professor | 3 | 5% |
| Other | 11 | 18% |
| Unknown | 23 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 10 | 16% |
| Psychology | 10 | 16% |
| Medicine and Dentistry | 6 | 10% |
| Social Sciences | 3 | 5% |
| Mathematics | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 26 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 December 2016.
All research outputs
#18,493,111
of 22,914,829 outputs
Outputs from Archives of Sexual Behavior
#3,208
of 3,469 outputs
Outputs of similar age
#309,927
of 420,986 outputs
Outputs of similar age from Archives of Sexual Behavior
#43
of 44 outputs
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