burden of substance use disorder (SUD) is highest in late adolescence and young adulthood and then decreases rapidly in young adulthood. A similar developmental pattern is seen for some aspects of self-regulation (risk-taking, reward-seeking), whereas other aspects improve steadily across development (cognitive control, affective-cognitive coordination, self-regulatory efficiency) . This developmental pattern prioritizes adolescence as a key period for understanding how converging biological changes alter risk for SUDs. Adolescence begins with a biologically-driven developmental transition - puberty - which has complex secondary effects on social, emotional, and sexual development. Adolescence also brings major changes in neurodevelopment, including brain physiology and, which may heighten vulnerability to the effects of substance exposures on brain development. It is in this context of neural development and novel environmental challenges that small genetic differences can affect risk for problematic substance use. Implications. To understand the reciprocal interplay between self-regulation and adolescent substance use, studies must incorporate biological methods. To illustrate our approach, we present 3 examples of ways in which we propose to advance knowledge of self-regulation and SUD: genetics, imaging, and biomarkers.

Agency
National Institute of Health (NIH)
Type
Center Core Grants (P30)
Project #
5P30DA023026-07
Application #
8677839
Study Section
Special Emphasis Panel (ZDA1)
Project Start
Project End
Budget Start
Budget End
Support Year
7
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Duke University
Department
Type
DUNS #
City
Durham
State
NC
Country
United States
Zip Code
27705
Hoyle, Rick H; Gottfredson, Nisha C (2015) Sample Size Considerations in Prevention Research Applications of Multilevel Modeling and Structural Equation Modeling. Prev Sci 16:987-96
Schwartz, David; Lansford, Jennifer E; Dodge, Kenneth A et al. (2015) Peer victimization during middle childhood as a lead indicator of internalizing problems and diagnostic outcomes in late adolescence. J Clin Child Adolesc Psychol 44:393-404
Kwak, Youngbin; Pearson, John; Huettel, Scott A (2014) Differential reward learning for self and others predicts self-reported altruism. PLoS One 9:e107621
Copeland, William E; Wolke, Dieter; Lereya, Suzet Tanya et al. (2014) Childhood bullying involvement predicts low-grade systemic inflammation into adulthood. Proc Natl Acad Sci U S A 111:7570-5
Dodge, Kenneth A; Goodman, W Benjamin; Murphy, Robert A et al. (2014) Implementation and randomized controlled trial evaluation of universal postnatal nurse home visiting. Am J Public Health 104 Suppl 1:S136-43
Wu, Li-Tzy; Swartz, Marvin S; Brady, Kathleen T et al. (2014) Nonmedical stimulant use among young Asian-Americans, Native Hawaiians/Pacific Islanders, and mixed-race individuals aged 12-34 years in the United States. J Psychiatr Res 59:189-99
Shanahan, Lilly; Copeland, William E; Angold, Adrian et al. (2014) Sleep problems predict and are predicted by generalized anxiety/depression and oppositional defiant disorder. J Am Acad Child Adolesc Psychiatry 53:550-8
Meier, Madeline H; Caspi, Avshalom; Reichenberg, Abraham et al. (2014) Neuropsychological decline in schizophrenia from the premorbid to the postonset period: evidence from a population-representative longitudinal study. Am J Psychiatry 171:91-101
Boynton, Marcella H; Richman, Laura Smart (2014) An online daily diary study of alcohol use using Amazon's Mechanical Turk. Drug Alcohol Rev 33:456-61
Carré, Justin M; Iselin, Anne-Marie R; Welker, Keith M et al. (2014) Testosterone reactivity to provocation mediates the effect of early intervention on aggressive behavior. Psychol Sci 25:1140-6

Showing the most recent 10 out of 53 publications