Yale University
Orange, Connecticut, 06477, United States
NCT Number: NCT05242952
The investigator is testing a virtual environment (VE) to address prevention of HIV-related comorbidities.
Looking for future studies?
Notify Me30 year–65 year
Male
Interventional
Not applicable
Orange, Connecticut, 06477, United States
The primary aims of this study are to test the feasibility, acceptability and preliminary effects of a VE to address prevention of HIV-related comorbidities. A waitlist control feasibility clinical trial will be conducted. We will assign (N=80) eligible participants and ensure balanced allocation to intervention and control groups over the intervention period. We hypothesize that the VE will be feasible and acceptable to persons living with HIV, and that they will apply their VE learning to real-life situations and health behaviors for prevention of HIV-related comorbidities.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Anything outside of inclusion parameters, including history of:
To address the primary outcomes of feasibility and acceptability of the VE, we will capture process data using a computer-based virtual environment and self-report measures using an online survey.
Time frame: Baseline through Month 6
Feasibility was operationalized through recruitment metrics (proportion of individuals who enrolled from those initially contacted) and retention metrics (percentage of participants who completed 3-month and 6-month follow-up assessments from baseline analysis sample).
Time frame: 6-month intervention period
Acceptability was evaluated through engagement with the VE measured via platform metadata and logfile analysis.
Time frame: 6-month intervention period
Acceptability was evaluated through total sessions logged in the VE measured via platform metadata and logfile analysis.
Time frame: 6-month intervention period
Acceptability was evaluated through mean session duration in the VE in minutes measured via platform metadata and logfile analysis.
Time frame: 6-month intervention period
Acceptability was evaluated through the total number of distinct educational quests accessed in the VE measured via platform metadata and logfile analysis.
Time frame: 6-month intervention period
Acceptability was evaluated through the percentage of visits for each of the districts within the VE measured via platform metadata and logfile analysis.
Time frame: 6-month intervention period
Acceptability was evaluated through total number of engagements per module in the VE measured via platform metadata and logfile analysis.
Time frame: Baseline and Month 3 & 6
Between group change from baseline in Body Mass Index (BMI) represented as Cohen's d effect size. Effect Size Interpretation: Negligible < 0.20; Small=0.20-0.39; Medium=0.40-0.69; Large≥0.70.
Positive values are favorable for intervention; negative values are unfavorable for intervention.
Time frame: Baseline and Month 3
The International Physical Activity Questionnaire - Short Form (IPAQ-SF) is a validated questionnaire that assesses physical activity through self-reported frequency and duration. Walking includes any walking for work, transport, or recreation (3.3 Metabolic Equivalent of Task or METs). Moderate-intensity activity includes activities requiring moderate effort such as carrying light loads or recreational swimming (4.0 METs). Vigorous-intensity activity includes activities requiring hard physical effort such as running or aerobics (8.0 METs). Total physical activity is calculated as MET-minutes per week (MET value × minutes × days). Values are reported as minutes per week or MET-minutes per week, with a minimum of 0 and no fixed maximum. Higher values indicate greater physical activity, which is favorable for cardiovascular health. Between group change from baseline represented as Cohen's d effect size. Effect Size Interpretation: Negligible < 0.20; Small=0.20-0.39; Medium=0.40-0.69; La
Time frame: Baseline and Month 6
The International Physical Activity Questionnaire - Short Form (IPAQ-SF) is a validated questionnaire that assesses physical activity through self-reported frequency and duration. Walking includes any walking for work, transport, or recreation (3.3 Metabolic Equivalent of Task or METs). Moderate-intensity activity includes activities requiring moderate effort such as carrying light loads or recreational swimming (4.0 METs). Vigorous-intensity activity includes activities requiring hard physical effort such as running or aerobics (8.0 METs). Total physical activity is calculated as MET-minutes per week (MET value × minutes × days). Values are reported as minutes per week or MET-minutes per week, with a minimum of 0 and no fixed maximum. Higher values indicate greater physical activity, which is favorable for cardiovascular health. Between group change from baseline represented as Cohen's d effect size. Effect Size Interpretation: Negligible < 0.20; Small=0.20-0.39; Medium=0.40-0.69; La
Time frame: Baseline
Behavioral Risk Factor Surveillance System (BRFSS)- self report measure questions that pertain to Tobacco use and E-cigarette use. Participants were asked: Question 1: "Have you smoked at least 100 cigarettes in your entire life?"
Time frame: Baseline
Behavioral Risk Factor Surveillance System (BRFSS)- self report measure questions that pertain to Tobacco use and E-cigarette use. Participants were asked: Question 2 "Do you now smoke cigarettes every day, some days, or not at all?"
Time frame: Baseline
Behavioral Risk Factor Surveillance System (BRFSS)- self report measure questions that pertain to Tobacco use and E-cigarette use. Participants were asked: Question 3: "During the past 12 months, have you stopped smoking for one day or longer because you were trying to quit smoking?"
Time frame: Baseline
Behavioral Risk Factor Surveillance System (BRFSS)- self report measure questions that pertain to Tobacco use and E-cigarette use. Participants were asked: Question 4: "How long has it been since you last smoked a cigarette, even one or two puffs?"
Time frame: Baseline
Behavioral Risk Factor Surveillance System (BRFSS)- self report measure questions that pertain to Tobacco use and E-cigarette use. Participants were asked: Question 5: "Do you currently use chewing tobacco, snuff, or snus every day, some days, or not at all?"
Time frame: Baseline
Behavioral Risk Factor Surveillance System (BRFSS)- self report measure questions that pertain to Tobacco use and E-cigarette use. Participants were asked: Question 6: "Have you ever used an e-cigarette or other electronic "vaping" product, even just one time, in your entire life?"
Time frame: Baseline
Behavioral Risk Factor Surveillance System (BRFSS)- self report measure questions that pertain to Tobacco use and E-cigarette use. Participants were asked: Question 7: "Do you now use e-cigarettes or other electronic "vaping" products every day, some days, or not at all?"
Time frame: Baseline and Month 3
Dietary intake was assessed using the NCI Multifactor Screener, a validated food frequency questionnaire that reports how frequently individuals consume foods in 6 categories. Vegetables, fruit, and whole grains were measured as average daily servings; sweets, red meat, and fast food were measured as weekly servings or meals. Values are self-reported counts with a minimum of 0 and no fixed maximum. Adherence was evaluated against dietary guidelines recommending ≥3 servings of vegetables and ≥2.5 servings of fruit daily. For vegetables, fruit, and whole grains, higher values indicate healthier dietary patterns (favorable). For sweets, red meat, and fast food, lower consumption is favorable for cardiovascular health. Between group change from baseline represented as Cohen's d effect size. Effect Size Interpretation: Negligible < 0.20; Small=0.20-0.39; Medium=0.40-0.69; Large≥0.70. Positive values are favorable for intervention; negative values are unfavorable for intervention.
Time frame: Baseline and Month 6
Dietary intake was assessed using the NCI Multifactor Screener, a validated food frequency questionnaire that reports how frequently individuals consume foods in 6 categories. Vegetables, fruit, and whole grains were measured as average daily servings; sweets, red meat, and fast food were measured as weekly servings or meals. Values are self-reported counts with a minimum of 0 and no fixed maximum. Adherence was evaluated against dietary guidelines recommending ≥3 servings of vegetables and ≥2.5 servings of fruit daily. For vegetables, fruit, and whole grains, higher values indicate healthier dietary patterns (favorable). For sweets, red meat, and fast food, lower consumption is favorable for cardiovascular health. Between group change from baseline represented as Cohen's d effect size. Effect Size Interpretation: Negligible < 0.20; Small=0.20-0.39; Medium=0.40-0.69; Large≥0.70. Positive values are favorable for intervention; negative values are unfavorable for intervention.
Time frame: Baseline and Month 3 & 6
The Patient Health Questionnaire-9 (PHQ-9) is a validated 9-item questionnaire used to screen for depression. Each item is scored 0-3, with total scores ranging from 0 to 27. Severity categories: minimal (0-4), mild (5-9), moderate (10-14), moderately severe (15-19), severe (20-27). Higher scores indicate greater severity of depressive symptoms (unfavorable). Between group change from baseline represented as Cohen's d effect size. Effect Size Interpretation: Negligible < 0.20; Small=0.20-0.39; Medium=0.40-0.69; Large≥0.70. Positive values are favorable for intervention; negative values are unfavorable for intervention.
Time frame: Baseline and Month 3
Assesses cognitive and emotional representations of illness using 5-point Likert scales (1 = strongly disagree, 5 = strongly agree). Subscale scores are calculated as sum totals with the following ranges: Timeline Acute/Chronic (3-15), Timeline Cyclical (4-20), Consequences (5-25), Personal Control (4-20), Treatment Control (4-20), Illness Coherence (4-20), and Emotional Representations (6-30). Higher scores indicate stronger beliefs in each domain. For Personal Control, Treatment Control, and Illness Coherence, higher scores indicate more adaptive beliefs (favorable). For Consequences and Emotional Representations, higher scores indicate more negative perceptions (unfavorable). Between group change from baseline represented as Cohen's d effect size. Effect Size Interpretation: Negligible < 0.20; Small=0.20-0.39; Medium=0.40-0.69; Large≥0.70. Positive values are favorable for intervention; negative values are unfavorable for intervention.
Time frame: Baseline and Month 6
The Revised Illness Perception Questionnaire was used to assess perceptions about hypertension and diabetes on a 5-point Likert scale ("strongly disagree" to "strongly agree") over 8 dimensions. Between group change from baseline represented as Cohen's d effect size. Effect Size Interpretation: Negligible < 0.20; Small=0.20-0.39; Medium=0.40-0.69; Large≥0.70.
Positive values are favorable for intervention; negative values are unfavorable for intervention.
Yale University
Other
LEveraging A viRtual eNvironment (LEARN) to Enhance Prevention of HIV-related Comorbidities in At-risk Minority MSM
Acronym: LEARN
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT03207945
Blood-Borne Infections, Cardiovascular Diseases
San Francisco, California, United States
View Trial DetailsNCT04904406
Acquired Immunodeficiency Syndrome, Blood-Borne Infections
Copenhagen, Denmark
View Trial DetailsNCT05372237
Behavior, Cardiovascular Diseases
San Donato Milanese, Milano, Italy
View Trial DetailsNCT03976258
Blood-Borne Infections, Cardiovascular Diseases
Cleveland, Ohio, United States
View Trial Details