Back

Measuring Youth Mental Health Vulnerability Across Communities: Development and Validation of ThriveAtlas

Mehranbod, C. A.; Reed, D. M.; Yetton, E.; Dibner-Dunlap, A.; Engelthaler, T.; Smittenaar, P.; Kemp, H.; Sgaier, S.; Wang, R. A. H.

2026-01-28 public and global health
10.64898/2026.01.26.26344733 medRxiv
Show abstract

ObjectiveYouth mental health is shaped by interacting individual, relational, and structural factors that vary across communities, yet few tools integrate these drivers into youth-specific, geographically granular measures for decision-making. This study describes the development and preliminary validation of ThriveAtlasTM, a geographically granular index designed to identify factors that prevent youth from thriving. MethodsThriveAtlas was developed through a multi-step process to identify, operationalize, and validate contextual determinants of youth mental health and well-being. This process included a literature review; selection and construction of indicators from public and proprietary data; aggregation into thematic domains and a composite index; and preliminary validation using county-level mental health outcomes in two U.S. states. Principal components analyses using California and Washington data were used to derive dimensions of youth mental health, which were correlated with ThriveAtlas index and subthemes. ResultsThe review identified key gaps in existing tools: youth-focused indices often emphasize general well-being rather than mental health, while structurally-focused indices lack youth specificity or sub-state granularity. ThriveAtlas revealed geographic variability in vulnerability, including regional clusters and isolated high-risk counties. Validation analyses showed expected patterns in California, where higher vulnerability aligned with greater distress and lower well-being. In Washington, correlations varied by outcome, with stronger correlations observed for crisis-related mental health indicators than overall distress. ConclusionThriveAtlas addresses a critical measurement gap by providing a youth-centered, multidimensional, and geographically granular index of vulnerability. Early validation supports its utility as a decision-relevant signal to identify communities with elevated youth mental health challenges and inform targeted intervention strategies.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.