Mapping Multimodal Risk Factors to Mental Health Outcomes.

ABSTRACT: A key challenge in predicting a person's state of mind is that there are a wide range of contributing factors that each have a subtle, yet significant, influence on mental health. We applied data mining techniques to identify the most important risk factors for predicting current symptoms and longitudinal outcomes from the Adolescent Brain Cognitive Developmental study (n = 11,552). Our results consistently revealed that social conflicts were the strongest predictors of psychopathology, especially family fighting and reputational damage between peers. Sex-differences also emerged as a critical factor for predicting long-term mental health outcomes. Neuroimaging derived metrics were consistently the least informative. While these findings provide novel insight into the developmental origins

SUBMITTER: Jirsaraie RJ 

PROVIDER: S-EPMC12442533 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature