The Annual American Men’s Internet Survey of Behaviors of Men Who Have Sex With Men in the United States: Key Indicators Report 2018
Bibliographic record
Abstract
The American Men's Internet Survey (AMIS) is an annual web-based behavioral survey conducted in the United States of men who have sex with men (MSM). This rapid surveillance report describes the sixth cycle of data collection (September-December 2018; AMIS 2018). The key indicators were the same as those previously reported for past AMIS cycles. The AMIS methodology has not substantively changed since AMIS 2017. MSM were recruited from a variety of websites using banner advertisements and email blasts. In addition, participants from AMIS 2017 who agreed to be recontacted for future research were emailed a link to AMIS 2018. Men were eligible to participate if they were aged ≥15 years, resided in the United States, provided a valid US ZIP code, and reported ever having sex with a man or identified as gay or bisexual. The analysis was limited to those who reported having oral or anal sex with a male partner in the past 12 months. We examined demographic and recruitment characteristics using multivariable regression modeling (P<.05) stratified by the participants' self-reported HIV status. The AMIS 2018 round of data collection resulted in 10,129 completed surveys from MSM representing every US state, Puerto Rico, and Guam. Most participants were non-Hispanic White, aged between 15 and 24 years, living in urban areas in the southern United States, and recruited from general social networking websites. The plurality (4230/10,129, 41.76%) of participants was in the youngest age group, 15-24 years, followed by the 40 years and older age group (3088/10,129, 30.49%). The self-reported HIV prevalence was 6.08% (616/10,129). Compared with HIV-negative or unknown status participants, HIV-positive participants were more likely to have had anal sex without a condom with a male partner in the past 12 months (adjusted odds ratio [aOR] 2.02, 95% CI 1.63-2.50) and more likely to have had anal sex without a condom with a serodiscordant or an unknown status partner (aOR 3.90, 95% CI 3.27-4.66). The reported use of marijuana in the past 12 months was higher among HIV-positive participants than among HIV-negative or unknown status participants (aOR 1.39, 95% CI 1.15-1.68). The reported use of methamphetamines and other illicit substances in the past 12 months was higher among HIV-positive participants than among HIV-negative or unknown status participants (aOR 3.42, 95% CI 2.41-4.87 and aOR 1.90, 95% CI 1.56-2.32, respectively). Most HIV-negative or unknown status participants (6838/9513, 71.88%) reported ever taking an HIV test previously, and 52.51% (4995/9513) of the participants reported undergoing HIV testing in the past 12 months. HIV-positive participants were more likely to report testing and diagnosis of sexually transmitted infections than HIV-negative or unknown status participants (aOR 3.50, 95% CI 2.89-4.24 and aOR 2.61, 95% CI 2.10-3.25, respectively).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".