Adolescent Master Protocol Up (AMP Up)
AMP Up is an ongoing long-term study of young adults aged 18 years and older who were born to a mother living with human immunodeficiency virus (HIV). It is designed to define the impact of HIV infection and antiretroviral therapy (ART) on young adults with perinatal HIV infection as they transition into adulthood. A group of perinatally exposed but uninfected young adults from a similar sociodemographic background and age distribution were included for comparison. The researchers plan to enroll 700 young adults living with perinatal HIV (PHIV) and 250 who were perinatally HIV-exposed but uninfected (PHEU). The sample includes individuals who were previously enrolled in the AMP and SMARTT protocols, as well as other perinatally infected individuals.
Study design
Cohort - clinical
Number of participants at first data collection
27 (youth with perinatal HIV exposure)
122 (youth with perinatally acquired HIV)
Recruitment is ongoing
Age at first data collection
≥ 18 years (participants)
Participant year of birth
Varied (participants)
Participant sex
All
Representative sample at baseline?
No
Sample features
Countries
Year of first data collection
2014
Primary Institutions
Harvard University
Tulane University
Profile paper DOI
Not available
Funders
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
National Heart, Lung, and Blood Institute (NHLBI)
National Institute of Allergy and Infectious Diseases (NIAID)
National Institute of Dental and Craniofacial Research (NIDCR)
National Institute of Mental Health (NIMH)
Ongoing?
Yes
Data types collected
Quantitative data collection
- Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
- Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
- Secondary data
- Self-report questionnaire – online
Qualitative data collection
- None
Neuroimaging data collection
- None
Linked or secondary data
- Healthcare data
Engagement
Keywords
Consortia and dataset groups
