This line of our research is motivated to understand the precursors, including genetic, psychosocial, and psychological, of risk and protection from the development of internalizing and externalizing outcomes over time. We utilize longitudinal modeling techniques, such as latent class analysis and latent growth curve models, to identify multiyear trajectories of these outcomes across diverse samples. We leverage a multitude of multi-dimensional longitudinal datasets to answer our research questions, including from the Wisconsin Longitudinal Study (WLS), the National Longitudinal Study of Adolescent to Adult Health (Add Health), and the Adolescent Brain Cognitive Development Study (ABCD).
We also incorporate powerful genome-wide tools (e.g., polygenic scores) to investigate the ways in which genes and psychosocial development might influence how a person develops mental health outcomes over time.
- Wang, S. S.*, Walsh, K., & Li, J. J. (2023). A Prospective Longitudinal Study of Multi-Domain Resilience Among Maltreated and Non-Maltreated Youths. Development and Psychopathology, 1-15. doi: 10.1017/S0954579423000032
- Li, J. J., Zhang, Q*., Wang, Z., & Lu, Q. (2022). Research Domain Criteria (RDoC) mechanisms of transdiagnostic polygenic risk for trajectories of depression: From early adolescence to adulthood. Journal of Psychopathology and Clinical Science, 131(6), 567–574. doi: 10.1037/abn0000659
- Li, J. J., Zhang, Q.*, & Lu, Q. (2020). RDoC mechanisms of transdiagnostic polygenic risk for trajectories of depression: From early adolescence to adulthood. Preprint doi: doi.org/10.1101/2020.04.01.020495.
- Li, J. J. (2019). The positive end of the polygenic score distribution for ADHD: A low risk or protective factor? Psychological Medicine. ePub ahead of print. doi: 10.1017/S0033291719003039
- Li, J. J. (2019). Assessing phenotypic and polygenic models of ADHD to identify mechanisms of risk for longitudinal trajectories of externalizing behaviors. Journal of Child Psychology and Psychiatry, 60, 1191-1199. doi: 10.1111/jcpp.13071
- Morrison, R. A.*, Martinez, J. I., Hilton, E. C.*, & Li, J. J. (2018). The influence of parents and schools on developmental trajectories of antisocial behaviors in Caucasian and African American youths. Development and Psychopathology, 31, 1575-1587. doi: 1017/S0954579418001335
- Li, J. J. (2017). Assessing the interplay between multigenic and environmental influences on adolescent to adult pathways of antisocial behaviors. Development and Psychopathology, 29, 1947-1967. doi: 10.1017/S0954579417001511
- Li, J. J., Berk, M. S., & Lee, S. S. (2013). Differential susceptibility in prospective models of gene-environment interaction for depression. Development and Psychopathology, 25, 991 – 1003. doi. 10.1017/S0954579413000321
- Li, J. J. & Lee, S. S. (2010). Latent class analysis of antisocial behavior: Interaction of serotonin transporter genotype and maltreatment. Journal of Abnormal Child Psychology, 38, 789-801. doi: 10.1007/s10802-010-9409-y