ADHD remains a serious public health concern particularly in relation to long-term outcome, with recent follow up data from other projects, such as the MTA study, suggesting that current assessment and sustained treatment practices do not much alter clinical course. In addition, societal and clinical concerns remain about mis-identification of children with ADHD who need care, because some children seem to improve developmentally, while others have poor outcomes. While a great deal is known about the correlates of developmental course, little of this knowledge has translated to clinical practice, and in particular to clinical prediction?essentially, deciding whether a child, presenting with ADHD, requires intervention or for whom a clinician can afford to wait and observed. We have previously made progress here by re-conceptualizing ADHD as a problem in self-regulation involving cognitive control as well as emotion regulation and emotionality. This has helped us find new and valid sub-profiles that are clinically predictive. We follow that up here and add new effort to use advanced computational tools to predict clinical course over a developmental period from 7-19 years of age, using a range of measures at different levels of analysis, and thus to develop algorithms that could point the way toward next-generation clinical translation from longitudinal studies.

Public Health Relevance

ADHD continues to be a serious and impairing syndrome for millions of children, affecting families, schools, and life quality. While a great deal is known about the correlates of ADHD, this information has not translated sufficiently into more efficient clinical decision-making that recognizes the variety of children within this population. This project seeks to use advanced analytics and long-term follow up data to identify better ways to identify groups of children with ADHD with characteristic profiles to improve clinical care.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Method to Extend Research in Time (MERIT) Award (R37)
Project #
3R37MH059105-18S1
Application #
10083596
Study Section
Program Officer
Pacheco, Jenni
Project Start
2020-03-17
Project End
2021-12-31
Budget Start
2020-03-17
Budget End
2020-12-31
Support Year
18
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Oregon Health and Science University
Department
Type
DUNS #
096997515
City
Portland
State
OR
Country
United States
Zip Code
97239
Holton, Kathleen F; Johnstone, Jeanette M; Brandley, Elizabeth T et al. (2018) Evaluation of dietary intake in children and college students with and without attention-deficit/hyperactivity disorder. Nutr Neurosci :1-14
Karalunas, Sarah L; Gustafsson, Hanna C; Fair, Damien et al. (2018) Do we need an irritable subtype of ADHD? Replication and extension of a promising temperament profile approach to ADHD subtyping. Psychol Assess :
Gustafsson, Hanna C; Sullivan, Elinor L; Nousen, Elizabeth K et al. (2018) Maternal prenatal depression predicts infant negative affect via maternal inflammatory cytokine levels. Brain Behav Immun 73:470-481
Karalunas, Sarah L; Hawkey, Elizabeth; Gustafsson, Hanna et al. (2018) Overlapping and Distinct Cognitive Impairments in Attention-Deficit/Hyperactivity and Autism Spectrum Disorder without Intellectual Disability. J Abnorm Child Psychol 46:1705-1716
Miller, Lindsay L; Gustafsson, Hanna C; Tipsord, Jessica et al. (2018) Is the Association of ADHD with Socio-Economic Disadvantage Explained by Child Comorbid Externalizing Problems or Parent ADHD? J Abnorm Child Psychol 46:951-963
Bauer, Brian W; Gustafsson, Hanna C; Nigg, Joel et al. (2018) Working memory mediates increased negative affect and suicidal ideation in childhood attention-deficit/hyperactivity disorder. J Psychopathol Behav Assess 40:180-193
Karalunas, Sarah L; Gustafsson, Hanna C; Dieckmann, Nathan F et al. (2017) Heterogeneity in development of aspects of working memory predicts longitudinal attention deficit hyperactivity disorder symptom change. J Abnorm Psychol 126:774-792
Nigg, Joel T; Jester, Jennifer M; Stavro, Gillian M et al. (2017) Specificity of executive functioning and processing speed problems in common psychopathology. Neuropsychology 31:448-466
Engelhardt, Paul E; Nigg, Joel T; Ferreira, Fernanda (2017) Executive function and intelligence in the resolution of temporary syntactic ambiguity: an individual differences investigation. Q J Exp Psychol (Hove) 70:1263-1281
Kamradt, Jaclyn M; Nigg, Joel T; Friderici, Karen H et al. (2017) Neuropsychological performance measures as intermediate phenotypes for attention-deficit/hyperactivity disorder: A multiple mediation analysis. Dev Psychopathol 29:259-272

Showing the most recent 10 out of 49 publications