One of the greatest barriers to effective programming is the limited data on the global burden of mental health challenges among adolescents and young people, especially targeted populations of adolescents. Prevalence data, together with data documenting and evaluating the range of risk and protective factors, are critical for advancing priorities to support better mental health at this pivotal life stage. These data can inform the design and implementation of programs and policies, as well as help experts make decisions about resource allocation. In an increasingly uncertain global moment—and as funding to solve complex problems is diminishing—such data on the mental health of adolescents is vital. 

We are inviting applications from researchers for a special session that aims to capture case examples of using population-level data to extend our understanding of adolescent and youth mental health. Specifically, the session will focus on uses of the Measurement of Mental Health Among Adolescents and Young People at Population Level (MMAPP) tool, which is part of a UNICEF-led effort to close the data gap in this critical age group. MMAPP uses culturally adaptable and clinically validated data collection tools and resources. The MMAPP tool, developed with support from global experts, has been built on a strong evidence base. Its development followed a rigorous, iterative process involving expert consultations, cognitive interviews, and field validation across diverse settings including validated in Belize, Kenya, Nepal, Peru, South Africa, and Zimbabwe. Indicators include symptoms of depression and anxiety; functional limitations due to mental health symptoms; suicidal thoughts and behaviors; and mental health care and connectedness.