Factors Associated With HIV Testing in Teenage Men Who Have Sex With Men

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Factors Associated With HIV Testing in

Teenage Men Who Have Sex With Men

Brian Mustanski, PhD,a,bDavid A. Moskowitz, PhD,a,bKevin O. Moran, MPH,a,bH. Jonathon Rendina, PhD,c

Michael E. Newcomb, PhD,a,bKathryn Macapagal, PhDa,b,d

abstract

BACKGROUND:Adolescent men who have sex with men (AMSM) have a high rate of HIV diagnoses.

An estimated 14.5% of HIV infections in the United States are undiagnosed; but among 13- to 24-year-olds, the rate is 51.4%. We describe HIV testing rates and identifies salient individual, family, school, and health care influences among AMSM.

METHODS:Data were collected as part of SMART, an ongoing pragmatic trial of an online HIV

prevention intervention for AMSM (N= 699). Measures included lifetime HIV testing, demographics, sexual behaviors, condom use, HIV education from school and family, sexual health communication with doctors, HIV knowledge, and risk attitudes.

RESULTS:Only 23.2% of participants had ever had an HIV test. Rates of testing increased with age (5.6% in 13- to 14-year-olds; 15.8% in 15- to 16-year-olds; 37.8% in 17- to 18-year-olds), and sexual experience was a strong predictor of testing (odds ratio: 6.54; 95% confidence interval: 3.95–11.49;P,.001). Most participants had a regular doctor (67.5%), but few had conversations about same-sex sexual behaviors (21.3%), HIV testing (19.2%), or sexual orientation (29.2%). Speaking to a doctor about HIV testing had a large effect (odds ratio: 25.29; confidence interval: 15.91–41.16;P,.001), with 75.4% who had such conversations having been tested, compared to only 10.8% of those who had not had such conversations.

CONCLUSIONS:Despite higher risk, few participants reported ever having received an HIV test.

Data indicate pediatricians are an important, but largely untapped, source of testing and could be integral to achieving testing rates needed to end the epidemic.

WHAT’S KNOWN ON THIS SUBJECT:An estimated 14.5% of HIV infections in the United States are undiagnosed; but among 13- to 24-year-olds, the undiagnosed rate is.3.5 times greater (51.4%). This disparity is due to poor testing rates among those

,18 years old.

WHAT THIS STUDY ADDS:Few studies describe HIV testing rates among minors (,18 years old), opting to group minors with adults. Focusing on this youngest group reveals opportunities for pediatrician-adolescent communication about sexual orientation and HIV, greatly increasing the odds of testing.

To cite: Mustanski B, Moskowitz DA, Moran KO, et al. Factors Associated With HIV Testing in Teenage Men Who Have Sex With Men.Pediatrics. 2020;145(3):e20192322

bDepartments of Medical Social Sciences anddPsychiatry and Behavioral Sciences, Feinberg School of Medicine

andaInstitute for Sexual and Gender Minority Health and Wellbeing, Northwestern University, Chicago, Illinois;

andcDepartment of Psychology, Hunter College of the City University of New York, New York, New York

Drs Mustanski, Newcomb, and Macapagal conceptualized and designed the study and contributed substantially to the writing of this manuscript; Dr Moskowitz conducted the study, coordinated and supervised data collection, and contributed to the drafting of this manuscript; Mr Moran performed the data management, conducted the statistical analyses, and drafted the results in this manuscript; Dr Rendina helped with conducting a tier of the study and the conceptualization and drafting of this manuscript; and all authors approved thefinal manuscript as submitted and agree to be accountable for all aspects of the work.

This trial has been registered at www.clinicaltrials.gov (identifier NCT03511131). DOI:https://doi.org/10.1542/peds.2019-2322

Accepted for publication Nov 15, 2019

Address correspondence to Brian Mustanski, PhD, Institute for Sexual and Gender Minority Health and Wellbeing, Northwestern University, 625 N Michigan Ave, Suite 1400, Chicago, IL 60611. E-mail: brian@northwestern.edu

PEDIATRICS (ISSN Numbers: Print, 0031-4005; Online, 1098-4275).

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Diagnosing individuals with HIV early after infection is 1 of the 4 pillars of the new federal“Ending the HIV Epidemic”initiative.1Diagnosis is the entry point to life-saving treatment, which can prevent HIV transmission if viral suppression to undetectable levels is sustained.2The Centers for Disease Control and Prevention (CDC) estimates that in the United States, 14.5% of all HIV infections are undiagnosed, but 51.4% of HIV-positive 13- to 24-year-olds are undiagnosed.3In this age range, 80% of estimated new infections occur among men who have sex with men (MSM).3Although there has been little epidemiological research on HIV incidence among adolescent men who have sex with men (AMSM), 2 studies suggest incidence is high, particularly among African American and

Hispanics and/or Latinos (3%–5% per year).4,5Few studies have described the rate of testing among MSM,18 years old, and with few exceptions,6–9many of the available studies combine data from teenagers aged 18 and younger with adults as old as 24,10,11which is a standard approach in national HIV surveillance reports.3Even fewer studies have explored differences in testing behaviors, and their correlates, among racially and/or ethnically diverse AMSM.

The US Preventive Services Task Force recommends screening for HIV in individuals aged 15 to 65 years and younger adolescents at increased risk, such as AMSM.12The CDC further recommends that sexually active MSM be screened at least annually and may benefit from even more frequent screening.13Bright

Futuresguidelines,14published by the American Academy of Pediatrics, recommend similar HIV screening practices for adolescents. However, nationally representative studies suggest that only∼10% of all high school students have ever been tested for HIV, with rates being higher among AMSM (20.6%) than among

males who only had sexual contact with females (11.6%) or no sexual contact (5.1%).8Other nonprobability studies of AMSM report rates of ever testing from 19% to 35%.7,15,16

Low rates of HIV testing among AMSM may be due to several concomitant factors at the individual, interpersonal, and structural levels. Youth fears about testing positive, being judged by family and providers, and being closeted may reduce the likelihood of initial and repeated HIV testing.17–20Structural barriers to testing include transportation issues and lack of adolescent-friendly testing services.7,21Moreover, a lack of sex education that addresses HIV and same-sex relationships may limit knowledge and perceived vulnerability.22–24

Research has also identified factors that can motivate testing among adolescents. In research on general samples of teenagers, rather than AMSM, parent-teenager25 and pediatrician-teenager26

communication about sex and school-based comprehensive sexual

education programs have large effects on testing.27One recent study found that physician discussions about HIV and testing and parent-child

discussions about how to prevent HIV were each significantly associated with ever being HIV tested among MSM ages 15 to 24.10

Finally, the information-motivation-behavioral skills (IMB) model28for HIV prevention suggests key factors that are influential over testing. In adult MSM,29–31this model has shown that individuals who have correct knowledge about HIV, are stimulated by emotional and/or situational responses (eg, fear and vulnerability), and have the skills to navigate the process are more likely to complete HIV testing. Assessing the impact of these IMB constructs on AMSM is still relatively new and could reveal opportunities for pediatric intervention.

Overall, the lack of research on facilitating and impeding factors for HIV testing among AMSM creates a critical knowledge gap for policies and pediatrician practices that can help support the goal of eliminating HIV transmissions in the next decade.1Here, we report data on HIV testing in a large sample of AMSM aged 13 to 18. We explore factors associated with ever having received an HIV test, which are drawn from CDC recommendations on need for testing (ie, risk behaviors), literature on testing among adolescents broadly (ie, school sex education, parent-child discussions, and provider conversations), theoretical models of HIV prevention behaviors (ie, the IMB model28), and research on sexual minority youth (ie, outness32,33).

METHODS

Study Design and Recruitment

Data were collected in 2018 and 2019 as part of SMART, an ongoing pragmatic trial34of a suite of HIV prevention interventions for AMSM. SMART uses a sequential multiple-assignment randomized trial design35 to assess the effects of a package of increasingly intensive HIV prevention programs24,36–38on sexual risk behaviors among racially diverse AMSM across the United States.

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approved by the institutional review board with waivers of parental permission.40Data for this report came from the baseline assessment of SMART and were collected before any intervention participation. At the time of analysis, 699 participants

completed the baseline measures.

Measures

Participants self-reported their age, race, and ethnicity. Socioeconomic status was assessed by asking,“Do you or anyone in your family receive any form of public assistance, such as reduced-price meals at school, SNAP [Supplemental Nutrition Assistance Program], or welfare?”41Rural residence was assessed by categorizing zip codes into rural-urban commuting area codes42; zip codes with 30% or more of their workers going to a US Census-defined urbanized area were considered urban, and all others were considered rural. Outness about sexual

orientation was measured with a single item, an approach that has been found to perform well compared with multi-item scales.43

HIV transmission risk behaviors and testing behaviors were assessed with the HIV Risk Assessment of Sexual Partnerships44and previous research on HIV testing among AMSM.20Items assessed lifetime engagement in vaginal or anal sex and lifetime engagement in condomless anal sex (CAS) with a male partner. Items assessed lifetime and previous-3-month HIV testing and if their parents were present when they were tested.

On the basis of the CDC’s Youth Risk Behavior Surveillance System,45 participants were asked about receipt of HIV education in school, if they spoke to parent or other adults in their family about HIV, and if their parents ever talked to them regarding expectations about what to do or not do when it comes to sex. Response options were“yes,” “no,”and“not sure,”and for the purposes of these

analyses,“no”and“not sure”were combined.

Three items assessed participants’ communication with health care providers about topics relevant to their sexual health.32Items began with,“In the last 12 months, I have spoken to a doctor, nurse, or other health care provider about…”and asked about sexual orientation, sex with male partners, and HIV testing. Response options were“yes”or“no.” An additional item asked,“Do you have 1 person you think of as your regular doctor, like a pediatrician or family doctor?”

Scales and items assessed aspects of the IMB model that, according to the theory, would be related to HIV testing.28HIV knowledge was assessed with 11 items that asked for true or false responses regarding facts about HIV transmission and prevention46(eg,“A person will not get HIV if (she or) he is taking antibiotics”). Two summed items assessed perceived vulnerability to HIV infection47(“How likely do you think it is you will get HIV if you have sex without a condom or PrEP [preexposure prophylaxis]?”and “How likely do you think it is that you will become HIV-positive at some point in your lifetime?”), with responses ranging from 1 (very unlikely) to 5 (very likely). To capture attitudes toward HIV testing,

participants were prompted with, “Getting an HIV test would be…”and asked to respond on a scale ranging from 1 (very unimportant) to 5 (very important). We used 2 items to capture self-efficacy for relevant HIV-related behaviors. For HIV testing, we asked,“How hard would it be for you to get an HIV test?”with responses options ranging from 1 (very hard) to 5 (very easy). To assess self-efficacy in managing HIV treatment if diagnosed, participants were asked, “If you were HIV-positive, how confident are you that you could get treatment for HIV where you live?”

with responses ranging from 1 (not at all confident) to 4 (very confident).

Analytic Plan

Logistic regression models were used to assess whether each independent variable was associated with ever having received an HIV test. Odds ratios (ORs) with 95% confidence intervals were calculated for each independent variable. Next, a multiple logistic regression model wasfitted to predict ever having received an HIV test. This full model included all aforementioned independent variables. Adjusted ORs with 95% confidence intervals were calculated for this multivariable model. All analyses were performed by using R version 3.5.1.48

RESULTS

The sample had strong representation of racial and/or ethnic minority participants and youth from low–socioeconomic-status

backgrounds (Table 1). The mean age of the sample was 16.6 (SD = 1.3) years. One-quarter of the participants (n= 162; 23.2%) had ever had an HIV test in their lifetime, and few reported .1 test (n= 81; 11.6%). More than half of those who were ever tested received an HIV test in the 3 months before the survey (n= 95 [58.6%]; 13.6% of total sample). Testing with a parent was rare among those who had been tested in their lives, with 74.7% (n= 121) reporting that their parents were never present when they received their HIV test(s), and another 4.9% of participants reported that their parents were present for some, but not all, of their HIV tests.

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pediatrician (67.5%), but few had conversations with a health care provider about their sexual behavior with males (21.3%) or HIV testing (19.2%) or were asked about their sexual orientation (29.2%).

In terms of IMB factors, the mean percentage correct for the HIV knowledge test was 66.5%. For motivational factors, participants fell at the midpoint of the scale for perceived vulnerability to HIV (ie, infection was neither unlikely nor likely). Attitudes toward the importance of HIV testing were positive within the sample, with the mean falling closest to the value for “very important.”Participants were divided on their self-efficacy for getting an HIV test (41.1% were not at all or somewhat confident) or treatment if they received an HIV-positive diagnosis (42.5% were not at all or somewhat confident).

Table 3 reports bivariable

associations between these factors and ever having received an HIV test. In terms of demographic factors, rates of HIV testing significantly increased

with age, and there was a trend of African American AMSM being more likely to report having received an HIV test than white AMSM (P= .07). AMSM who identified with a sexual orientation other than gay or bisexual were significantly less likely than those who identified as gay to have received an HIV test. Youth who were more out about their sexual orientation were significantly more likely to have been tested for HIV.

In terms of HIV risk, youth who had sexual intercourse (vaginal or anal) or CAS were significantly more likely to have had an HIV test. School-based discussions of HIV were not significantly associated with HIV testing, but discussions with parents about HIV and expectations about sexual behavior were both

significantly associated. Each of the variables assessing discussions with physicians had large effects, including discussing sex with men, sexual orientation, and HIV testing. In terms of IMB skills factors, HIV knowledge was significant, with each percent increase in HIV knowledge test score

producing a 3% increase in the odds of HIV testing (OR = 1.03;P,.001). Individuals who believed HIV testing was important and that it was easy and who were confident they could obtain an HIV test were significantly more likely to have been tested. The largest effect in these analyses was speaking to a doctor about HIV testing (OR = 25.29;P,.001), with 75.4% who had such conversations having been tested, compared to only 10.8% of those who had not had such conversations.

Table 3 reports adjusted ORs from a multivariable model that included all factors. Because speaking to a health care provider about HIV testing could be caused by testing rather than leading to HIV testing, the variable assessing ever having discussed an HIV test with a health care provider was not included in the multivariable model. Adjusting for other factors, differences in HIV testing by age were substantial (OR = 5.48;P,.001; comparing 13– 14-year-olds to 17–18-year-olds). Physician discussions about sexual orientation or sex with a male partner had the largest effect on HIV testing. Variables assessing information, motivation, and self-efficacy for testing were next in terms of their importance; however, in this multivariable model, self-efficacy for receiving HIV treatment was no longer significant. In terms of engagement in HIV risk behaviors, lifetime anal or vaginal sex was significant (OR = 3.24;P,.01), but lifetime engagement in CAS was no longer significant. Factors related to families were no longer significant, including having spoken to parents about HIV or expectations about sexual behavior.

DISCUSSION

In this study, we examined HIV testing and associated factors among AMSM, an understudied group with high HIV incidence and some of the

TABLE 1Demographic Characteristics of the Analytic Sample of AMSM

n Percentage of Total Percentage of Tested

Age,ay

13–14 89 12.7 —

15–16 335 47.9 —

17–18 275 39.3 —

Sexual orientation

Gay 464 66.4 —

Bisexual 175 25 —

Other 60 8.6 —

Race and/or ethnicity

African American 121 17.3 —

Latinx 221 31.6 —

White 281 40.2 —

Other 76 10.9 —

Rurality

Urban 648 92.7 —

Rural 51 7.3 —

Socioeconomic status

Public assistance 234 33.5 —

Not on public assistance 465 66.5 —

Lifetime HIV test 162 23.2 —

Multiple lifetime tests 81 11.6 50

Test in the last 3 mo 95 13.6 58.6

Parent never present for a test 121 — 74.7

aMean age 16.6 (SD 1.3).

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lowest levels of HIV status

awareness.3,4Fewer than one-quarter of the AMSM participants reported having received an HIV test in their lifetime. Rates were lowest at the youngest ages. AMSM who engage in condomless sex are recommended to receive an HIV test at least annually, if not more frequently.13,14These recommendations notwithstanding, we found that testing prevalence was low even among AMSM who reported CAS (34.8%). Thisfinding is of significant public health concern because low levels of HIV testing in

populations with high HIV incidence will prevent the achievement of goals to get to 0 new HIV infections in the United States.

Among a set of theoretically derived barriers and facilitators of HIV testing, physician conversations about HIV, same-sex behavior, and sexual orientation were the most influential. Although most participants reported having a regular doctor, only 20% to 30% reported having a conversation with their doctor about these topics. This

is consistent with previous studies of AMSM and young adult MSM10,26,32 and physicians49that found

a similarly low frequency of reporting these conversations. Ourfindings suggest that pediatricians can encourage AMSM HIV testing by discussing sexual orientation with patients. Moreover, such

conversations are recommended by the American Academy of

Pediatrics.50Although adolescent-patient–physician communication about sex may be difficult for some, simple structural changes within the practice can facilitate these

discussions. For example,

pediatricians can update their intake forms to include a section on sexual orientation, and they can signal safety to adolescents through visual cues such as Safe Zone or lesbian, gay, bisexual, transgender, queer ally posters in examination rooms.51 Overall, such small offi ce-environment adaptations can precipitate meaningful dialogues while simultaneously improving public perceptions of inclusivity.52

In addition to these nonverbal ways to elicit sexual orientation

discussions, behavioral and communication adjustments to the pediatrician-patient interaction may be effective. Recent research suggests that AMSM are unlikely to broach sexual health topics with their pediatricians because of fears about lack of acceptance and privacy from parents.32,53In response, doctors should actively articulate to patients that their office is a safe space to discuss sexuality. They should reinforce doctor-patient confidentiality, which can be accomplished by asking patients’ parents to exit the room during part of the patient history.51,52Finally, for pediatricians who do not want to engage in conversations about sexual orientation, defaulting to HIV testing with an informed“opt out”option would be effective as well. A combination of some or all of these

TABLE 2Descriptive Statistics of Independent Variables

Independent Variables, Levels n % Mean SD

Vaginal or anal sex, lifetime

No 250 35.8 — —

Yes 449 64.2 — —

CAS experience, lifetime

No 381 54.5 — —

Yes 318 45.5 — —

HIV education in school

No or do not know 235 33.6 — —

Yes 464 66.4 — —

HIV education from family

No or do not know 472 67.5 — —

Yes 227 32.5 — —

Spoken to family about sexual expectations

No or do not know 431 61.7 — —

Yes 268 38.3 — —

Outness

No one or select few 222 31.8 — —

Most people 292 41.8 — —

Everyone 185 26.5 — —

Have a regular doctor

No 227 32.5 — —

Yes 472 67.5 — —

Spoken to a doctor about sex with male partners

No 550 78.7 — —

Yes 149 21.3 — —

Spoken to a doctor about HIV testing

No 565 80.8 — —

Yes 134 19.2 — —

Doctor asked about sexual orientation

No 495 70.8 — —

Yes 204 29.2 — —

Self-efficacy, confidence for getting an HIV test

Not at all or somewhat 287 41.1 — —

Confident or very confident 412 58.9 — —

Self-efficacy, confidence for getting HIV treatment

Not at all or somewhat 297 42.5 — —

Confident or very confident 402 57.5 — —

HIV knowledge, % correct — — 66.5 19.8

Perceived vulnerability — — 5.7 1.7

Importance of getting an HIV test — — 4.6 0.8

Difficulty of getting an HIV test — — 2.8 1.2

Confidence to obtain HIV treatment — — 2.7 1.0

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TABLE 3Bivariable and Multivariable Associations Between Independent Variables and HIV Testing

Independent Variable, Level Not Tested,n(%) Tested,n(%) OR (95% CI) aOR (95% CI)

Age, y

13–14 84 (94.4) 5 (5.6) Reference Reference

15–16 282 (84.2) 53 (15.8) 3.16* (1.34–9.29) 2.41 (0.91–7.74)

17–18 171 (62.2) 104 (37.8) 10.22*** (4.41–29.75) 5.48** (2.09–17.53)

Race and/or ethnicity

White 225 (80.1) 56 (19.9) Reference Reference

African American 87 (71.9) 34 (28.1) 1.57 (0.95–2.56) 1.83 (0.95–3.49)

Latinx 172 (77.8) 49 (22.2) 1.14 (0.74–1.76) 1.28 (0.72–2.28)

Other 53 (69.7) 23 (30.3) 1.74 (0.97–3.06) 1.54 (0.7–3.33)

Urban or rural

Urban 495 (76.4) 153 (23.6) Reference Reference

Rural 42 (82.4) 9 (17.6) 0.69 (0.31–1.39) 0.89 (0.33–2.16)

Public assistance

No or do not know 359 (77.2) 106 (22.8) Reference

Yes 178 (76.1) 56 (23.9) 1.07 (0.73–1.54) 0.79 (0.48–1.3)

Sexual orientation

Gay 345 (74.4) 119 (25.6) Reference Reference

Bisexual 140 (80.0) 35 (20.0) 0.72 (0.47–1.1) 1.16 (0.65–2.05)

Other 52 (86.7) 8 (13.3) 0.45* (0.19–0.92) 0.42 (0.16–1.05)

Vaginal or anal sex, lifetime

No 233 (93.2) 17 (6.8) Reference Reference

Yes 304 (67.7) 145 (32.3) 6.54*** (3.95–11.49) 3.24** (1.58–6.83)

CAS experience, lifetime

No 330 (86.6) 51 (13.4) Reference Reference

Yes 207 (65.1) 111 (34.9) 3.47*** (2.4–5.08) 1.47 (0.83–2.64)

HIV education in school

No or do not know 182 (77.4) 53 (22.6) Reference Reference

Yes 355 (76.5) 109 (23.5) 1.05 (0.73–1.54) 1.01 (0.62–1.66)

HIV education from family

No or do not know 384 (81.4) 88 (18.6) Reference Reference

Yes 153 (67.4) 74 (32.6) 2.11*** (1.47–3.03) 1.25 (0.73–2.15)

Spoken to family about sexual expectations

No or do not know 344 (79.8) 87 (20.2) Reference Reference

Yes 193 (72.0) 75 (28.0) 1.54* (1.08–2.19) 1.04 (0.61–1.77)

Outness

No one or select few 188 (84.7) 34 (15.3) Reference Reference

Most people 229 (78.4) 63 (21.6) 1.52 (0.97–2.43) 1.12 (0.63–2.01)

Everyone 120 (64.9) 65 (35.1) 3.00*** (1.88–4.85) 1.5 (0.79–2.85)

Have a regular doctor

No 179 (78.9) 48 (21.1) Reference Reference

Yes 358 (75.8) 114 (24.2) 1.19 (0.81–1.75) 1.05 (0.63–1.76)

Spoken to a doctor about sex with male partners

No 472 (85.8) 78 (14.2) Reference Reference

Yes 65 (43.6) 84 (56.4) 7.82*** (5.25–11.75) 2.66*** (1.52–4.67)

Spoken to a doctor about HIV testing

No 504 (89.2) 61 (10.8) Reference —

Yes 33 (24.6) 101 (75.4) 25.29*** (15.91–41.16) —

Doctor asked about sexual orientation

No 419 (84.6) 76 (15.4) Reference Reference

Yes 118 (57.8) 86 (42.2) 4.02*** (2.78–5.83) 2.02** (1.2–3.4)

HIV knowledge, % correct, mean (SD) 64.3 (19.9) 73.7 (17.5) 1.03*** (1.02–1.04) 1.02** (1.01–1.03)

Perceived vulnerability, mean (SD) 5.7 (1.7) 5.8 (1.7) 1.03 (0.93–1.14) 1.03 (0.89–1.18)

Importance of getting an HIV test, mean (SD) 4.5 (0.8) 4.8 (0.7) 1.74*** (1.3–2.41) 1.49* (1.08–2.13)

Difficulty of getting an HIV test, mean (SD) 2.6 (1.1) 3.6 (1.1) 2.28*** (1.92–2.74) 1.86*** (1.49–2.33)

Confidence in obtaining HIV treatment, mean (SD) 2.7 (1) 2.9 (1) 1.26* (1.05–1.51) 0.93 (0.72–1.2)

aOR, adjusted odds ratio; CI, confidence interval;—, not applicable. *P,.05

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recommendations could improve testing among AMSM.

IMB skills, which are core components of behavioral HIV prevention theories, showed significant associations in our bivariable and multivariable models. These constructs represent actionable targets for pediatrician and public health interventions that can increase HIV testing among AMSM. In fact, in a sample of AMSM, a randomized controlled trial of an intervention based on this theoretical perspective showed that providing information about HIV testing, motivational messages about testing, a proximity-based HIV testing locator, and a video that demystified and instilled self-efficacy in HIV testing produced threefold greater odds of HIV testing compared with a control arm.54 Research is needed on how to scale up and expand such interventions to promote HIV testing among AMSM. This is particularly important for adolescent men who have fewer routine interactions with the health care system55and, as such, may be

more likely to seek testing as a standalone service from a community organization.

This study is not without limitations. First, the data used are cross-sectional, so directionality and causal relationships cannot be determined. Second, although we used a large, diverse sample of AMSM, it is not a population-based sample and is therefore not representative of the entire population of AMSM in the United States. Third, AMSM in this sample were enrolled in a research trial, so they may differ from AMSM who are not eligible for, or would not be willing to enroll in, the trial. However, all AMSM in this sample were sexually experienced, so they are a group for which HIV testing is highly relevant.

This study reports unique data from the understudied, but high-HIV-risk, group of AMSM. We found that despite high rates of engaging in anal sex and CAS, few participants reported ever having received an HIV test. Our models indicate an

important role for pediatricians as well as foci for interventions to increase testing rates. Data collected in 2014 from an identically recruited sample of AMSM showed only slightly lower rates of ever receiving HIV testing,54suggesting we have made little headway in achieving Healthy People 2020 goals of increasing HIV testing rates.56Findings also suggest a major need for implementation research to increase HIV testing among AMSM if we are to achieve the goals of the new federal initiative to end the HIV epidemic in the United States in the next decade.

ABBREVIATIONS

AMSM: adolescent men who have sex with men

CAS: condomless anal sex CDC: Centers for Disease Control

and Prevention

IMB: information-motivation-behavioral

MSM: men who have sex with men OR: odds ratio

FINANCIAL DISCLOSURE:The authors have indicated they have nofinancial relationships relevant to this article to disclose.

FUNDING:Supported by the National Institute on Minority Health and Health Disparities (grant U01MD011281). Funded by the National Institutes of Health (NIH)

POTENTIAL CONFLICT OF INTEREST:The authors have indicated they have no potential conflicts of interest to disclose. COMPANION PAPER:A companion to this article can be found online at www.pediatrics.org/cgi/doi/10.1542/peds.2019-3996.

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DOI: 10.1542/peds.2019-2322 originally published online February 11, 2020;

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DOI: 10.1542/peds.2019-2322 originally published online February 11, 2020;

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Figure

TABLE 1 Demographic Characteristics of the Analytic Sample of AMSM

TABLE 1

Demographic Characteristics of the Analytic Sample of AMSM p.4
TABLE 2 Descriptive Statistics of Independent Variables

TABLE 2

Descriptive Statistics of Independent Variables p.5
TABLE 3 Bivariable and Multivariable Associations Between Independent Variables and HIV Testing

TABLE 3

Bivariable and Multivariable Associations Between Independent Variables and HIV Testing p.6