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Understanding and Reducing HIV Risk Behavior and Substance Use Among Self-identified Bisexual Adolescent Men

Understanding and Reducing HIV Risk Behavior and Substance Use Among Self-identified Bisexual Adolescent Men

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03409328
Enrollment
60
Registered
2018-01-24
Start date
2021-06-11
Completion date
2022-01-31
Last updated
2024-08-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Bisexuality, HIV/AIDS, Substance Use

Brief summary

Young gay, bisexual, and other men who have sex with men (MSM) are disproportionately affected by HIV. Despite this burden, most HIV prevention interventions target adult MSM (most of whom identify as gay) and heterosexual youth, creating an urgent need for interventions for gay and bisexual adolescents. Further, self-identified bisexual men, especially adolescents, have been neglected in research. Therefore, little is known about factors that drive engagement in risk behavior among self-identified bisexual adolescent men. The goals of this study are to: (1) examine factors that drive engagement in HIV risk behavior and substance use among self-identified bisexual adolescent men; and (2) develop and pilot test a tailored HIV and substance use prevention intervention for this population.

Detailed description

Young gay, bisexual, and other men who have sex with men (MSM) are disproportionately affected by HIV. Despite this burden, most HIV prevention interventions target adult MSM (most of whom identify as gay) and heterosexual youth, creating an urgent need for interventions for gay and bisexual adolescents. Further, self-identified bisexual men, especially adolescents, have been neglected in research. This is a critical problem because: (1) there are as many, if not more, bisexual adolescent men than gay adolescent men; (2) bisexual adolescent men engage in several HIV risk behaviors more than their gay peers; (3) bisexual adolescent men are at increased risk for substance use-a robust risk factor for HIV; and (4) bisexual men face unique HIV prevention issues. Given that bisexual men are rarely included in research and most existing research on them focuses on behaviorally bisexual adult men, little is known about factors that drive engagement in risk behavior among self-identified bisexual adolescent men. Attending to bisexual identity is critical to reducing HIV and substance use, because bisexuality is highly stigmatized and stigma-related stressors (e.g., concerns about disclosing one's bisexual identity) impact sexual behavior, substance use, and healthcare utilization. Interventions are also more effective when tailored to populations, underscoring the need for an intervention for self-identified bisexual adolescent men. The goals of this study are to: (1) examine factors that drive engagement in HIV risk behavior and substance use among self-identified bisexual adolescent men; and (2) develop and pilot test a tailored HIV and substance use prevention intervention for this population. In Phase 1, interviews will be conducted with 60 diverse self-identified bisexual adolescent men ages 14-17 focused on sexual identity, sexual decision-making, substance use motivations, and intervention preferences/barriers. In Phase 2, a tailored intervention will be developed using findings from Phase 1. In Phase 3, feasibility, acceptability, and preliminary efficacy will be tested in a pilot randomized trial (N = 60) with a waitlist control and one-month follow-up. In sum, self-identified bisexual adolescent men are at increased risk for HIV and substance use, but little is known about factors that drive their engagement in risk behavior. By focusing on self-identified bisexual adolescent men-an underrepresented, health disparity population-this study can identify prevention targets and reduce disparities in HIV and substance use.

Interventions

BEHAVIORALHIV and substance use prevention

The intervention content will be developed through formative research during the initial phase of the study. However, the intervention will address: bisexual-inclusive sexual health education, unique influences of risk behavior among bisexual adolescents, and skills to cope with bisexual stigma and to increase acceptance of one's bisexual identity.

Sponsors

Rosalind Franklin University of Medicine and Science
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
14 Years to 17 Years
Healthy volunteers
No

Inclusion criteria

* Age 14-17 * Identifies as male * Identifies as bisexual or another non-monosexual identity (e.g., pansexual) * HIV-negative (self-report) * Fluent in English * Lives in United States

Exclusion criteria

* Does not meet inclusion criteria

Design outcomes

Primary

MeasureTime frameDescription
RetentionUp to 2 months (participants in the intervention condition had 1-month to complete the intervention and the follow-up assessment was 1-month later; participants in the control condition waited for 1-month and then completed the follow-up assessment).Retention from enrollment through the 1-month follow-up assessment.
AcceptabilityPost-interventionAcceptability was measured with an adapted version of the Abbreviated Acceptability Rating Profile. Scores ranged from 0-4. Higher scores represent greater acceptability.

Secondary

MeasureTime frameDescription
Condom Use Intentions1-month follow-upParticipants were asked eight questions to assess their intentions to use condoms. Scores ranged from 1-4. Higher scores represent greater condom use intentions.
Condom Use Self-efficacy1-month follow-upParticipants were asked eight or nine questions to assess their condom use self-efficacy (cisgender participants received one question that transgender participants did not receive). Scores ranged from 1-7. Higher scores represent greater condom use self-efficacy.
HIV Knowledge1-month follow-upParticipants were asked 12 true/false questions to assess their HIV knowledge. Values ranged from 0-12. Higher scores represent greater HIV knowledge.
Condomless Sex1-month follow-upParticipants were asked a series of questions about their sexual activity and condom use from the HIV-Risk Assessment for Sexual Partnerships. Condomless sex (anal or vaginal) was treated as a dichotomous variable (0 = none, 1 = any).
Substance Use1-month follow-upParticipants were asked a series of questions about their alcohol and drug use. Outcomes included binge drinking and marijuana use. Outcomes were dichotomous (any vs. none).
Internalized Stigma and Identity Affirmation1-month follow-upInternalized stigma and identity affirmation were measured with the Bisexual Identity Inventory. Scores ranged from 1-7. Higher scores represent greater internalized stigma or identity affirmation.
Sexually Transmitted Infection (STI) Knowledge1-month follow-upParticipants were asked 12 true/false questions to assess their STI knowledge. Scores ranged from 0-12. Higher scores represent greater STI knowledge.

Countries

United States

Participant flow

Participants by arm

ArmCount
B*SMART
B\*SMART is an online HIV and substance use prevention intervention for self-identified bisexual adolescent men. It includes 90 minutes of content, which can be completed in a single session or across multiple sessions. Participants had one month to complete the intervention. It includes 4 modules that participants can navigate in their preferred order. Within each module, information is presented via text, audio, video, and activities. The modules cover topics related to (1) sexual orientation and gender identity (e.g., coming out, reducing internalized stigma, positive aspects of being bisexual), (2) sexual activity, pleasure, and consent, (3) HIV/STI (e.g., types, level of risk associated with different sexual activities, types of protection, the influence of substance use), and (4) healthy relationships (e.g., different relationship configurations, effective communication).
31
Waitlist
The control condition was a waitlist.
29
Total60

Withdrawals & dropouts

PeriodReasonFG000FG001
Overall StudyLost to Follow-up63

Baseline characteristics

CharacteristicWaitlistTotalB*SMART
Age, Continuous15.93 years
STANDARD_DEVIATION 0.96
15.93 years
STANDARD_DEVIATION 0.99
15.94 years
STANDARD_DEVIATION 1.03
HIV status
Negative
5 Participants9 Participants4 Participants
HIV status
Unknown
24 Participants51 Participants27 Participants
Race/Ethnicity, Customized
Race/ethnicity
Black (non-Hispanic)
1 Participants2 Participants1 Participants
Race/Ethnicity, Customized
Race/ethnicity
Hispanic
7 Participants15 Participants8 Participants
Race/Ethnicity, Customized
Race/ethnicity
Other (non-Hispanic)
5 Participants10 Participants5 Participants
Race/Ethnicity, Customized
Race/ethnicity
White (non-Hispanic)
16 Participants33 Participants17 Participants
Region of Enrollment
United States
29 participants60 participants31 participants
Sex/Gender, Customized
Sex/gender
Cisgender boys
22 Participants45 Participants23 Participants
Sex/Gender, Customized
Sex/gender
Transgender boys
7 Participants15 Participants8 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 310 / 29
other
Total, other adverse events
0 / 310 / 29
serious
Total, serious adverse events
0 / 310 / 29

Outcome results

Primary

Acceptability

Acceptability was measured with an adapted version of the Abbreviated Acceptability Rating Profile. Scores ranged from 0-4. Higher scores represent greater acceptability.

Time frame: Post-intervention

Population: Of the 31 participants in the intervention condition, 24 completed the intervention and 16 completed the post-intervention acceptability survey.

ArmMeasureValue (MEAN)Dispersion
B*SMARTAcceptability3.62 score on a scaleStandard Deviation 0.36
Primary

Retention

Retention from enrollment through the 1-month follow-up assessment.

Time frame: Up to 2 months (participants in the intervention condition had 1-month to complete the intervention and the follow-up assessment was 1-month later; participants in the control condition waited for 1-month and then completed the follow-up assessment).

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
B*SMARTRetention25 Participants
WaitlistRetention26 Participants
Secondary

Condomless Sex

Participants were asked a series of questions about their sexual activity and condom use from the HIV-Risk Assessment for Sexual Partnerships. Condomless sex (anal or vaginal) was treated as a dichotomous variable (0 = none, 1 = any).

Time frame: 1-month follow-up

ArmMeasureCategoryValue (COUNT_OF_PARTICIPANTS)
B*SMARTCondomless SexEngaged in condomless sex2 Participants
B*SMARTCondomless SexDid not engage in condomless sex23 Participants
WaitlistCondomless SexEngaged in condomless sex2 Participants
WaitlistCondomless SexDid not engage in condomless sex24 Participants
Secondary

Condom Use Intentions

Participants were asked eight questions to assess their intentions to use condoms. Scores ranged from 1-4. Higher scores represent greater condom use intentions.

Time frame: 1-month follow-up

ArmMeasureValue (MEAN)Dispersion
B*SMARTCondom Use Intentions3.62 score on a scaleStandard Deviation 0.51
WaitlistCondom Use Intentions3.33 score on a scaleStandard Deviation 0.56
p-value: 0.029ANCOVA
Secondary

Condom Use Self-efficacy

Participants were asked eight or nine questions to assess their condom use self-efficacy (cisgender participants received one question that transgender participants did not receive). Scores ranged from 1-7. Higher scores represent greater condom use self-efficacy.

Time frame: 1-month follow-up

ArmMeasureValue (MEAN)Dispersion
B*SMARTCondom Use Self-efficacy6.08 score on a scaleStandard Deviation 1.08
WaitlistCondom Use Self-efficacy5.89 score on a scaleStandard Deviation 0.91
p-value: 0.542ANCOVA
Secondary

HIV Knowledge

Participants were asked 12 true/false questions to assess their HIV knowledge. Values ranged from 0-12. Higher scores represent greater HIV knowledge.

Time frame: 1-month follow-up

ArmMeasureValue (MEAN)Dispersion
B*SMARTHIV Knowledge9.32 score on a scaleStandard Deviation 1.07
WaitlistHIV Knowledge6.85 score on a scaleStandard Deviation 1.91
p-value: <0.001ANCOVA
Secondary

Internalized Stigma and Identity Affirmation

Internalized stigma and identity affirmation were measured with the Bisexual Identity Inventory. Scores ranged from 1-7. Higher scores represent greater internalized stigma or identity affirmation.

Time frame: 1-month follow-up

ArmMeasureGroupValue (MEAN)Dispersion
B*SMARTInternalized Stigma and Identity AffirmationInternalized stigma2.56 score on a scaleStandard Deviation 1.53
B*SMARTInternalized Stigma and Identity AffirmationIdentity affirmation5.47 score on a scaleStandard Deviation 1.54
WaitlistInternalized Stigma and Identity AffirmationInternalized stigma2.86 score on a scaleStandard Deviation 1.32
WaitlistInternalized Stigma and Identity AffirmationIdentity affirmation5.50 score on a scaleStandard Deviation 0.96
Comparison: The outcome for this analysis is internalized stigma.p-value: 0.084ANCOVA
Comparison: The outcome for this analysis is identity affirmation.p-value: 0.417ANCOVA
Secondary

Sexually Transmitted Infection (STI) Knowledge

Participants were asked 12 true/false questions to assess their STI knowledge. Scores ranged from 0-12. Higher scores represent greater STI knowledge.

Time frame: 1-month follow-up

ArmMeasureValue (MEAN)Dispersion
B*SMARTSexually Transmitted Infection (STI) Knowledge7.75 score on a scaleStandard Deviation 2.59
WaitlistSexually Transmitted Infection (STI) Knowledge5.70 score on a scaleStandard Deviation 2.48
p-value: 0.013ANCOVA
Secondary

Substance Use

Participants were asked a series of questions about their alcohol and drug use. Outcomes included binge drinking and marijuana use. Outcomes were dichotomous (any vs. none).

Time frame: 1-month follow-up

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
B*SMARTSubstance UseBinge drinking1 Participants
B*SMARTSubstance UseMarijuana use6 Participants
WaitlistSubstance UseBinge drinking1 Participants
WaitlistSubstance UseMarijuana use6 Participants

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026