The ADHD teen integrative data analysis longitudinal (TIDAL) dataset: background, methodology, and aims

The Attention Deficit Hyperactivity Disorder (ADHD) Teen Integrative Data Analysis Longitudinal (TIDAL) dataset integrates data from four randomized trials. Participants with ADHD (N = 854; 72.5% male, 92.5% racial/ethnic minority, ages 10-17) were assessed three times across 12 months. Data include...

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Bibliographic Details
Published in:BMC psychiatry 2020-07, Vol.20 (1), p.359-359, Article 359
Main Authors: Sibley, Margaret H, Coxe, Stefany J
Format: Article
Language:English
Subjects:
ADHD
Adolescence
Adolescent
Analysis
Attention Deficit Disorder with Hyperactivity
Attention deficit hyperactivity disorder
Batteries
Child & adolescent psychiatry
Data Analysis
Datasets
Ethnicity
Evidence-based medicine
Female
Humans
Infant
Information management
Intervention
Longitudinal data
Male
Mediation
Medical research
Mental health
Methods
Minority Groups
Parents
Precision medicine
Psychiatry
Skills
Students
Teenagers
Youth
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Summary:The Attention Deficit Hyperactivity Disorder (ADHD) Teen Integrative Data Analysis Longitudinal (TIDAL) dataset integrates data from four randomized trials. Participants with ADHD (N = 854; 72.5% male, 92.5% racial/ethnic minority, ages 10-17) were assessed three times across 12 months. Data includes parent, self, and teacher ratings, observations, and school records. The battery was harmonized using an Integrative Data Analysis (IDA) approach to form variables that assign unique values to all participants. The data will be used to investigate: (1) profiles that organize the heterogeneous population into clinically meaningful subgroups, (2) whether these profiles predict treatment response, (3) heterogeneity in treatment response and variables that predict this response, (4) how treatment characteristics and adjunctive supports predict treatment response, and (5) mediators of treatment and whether these mechanisms are moderated by treatment characteristics. The ADHD TIDAL Dataset will be openly shared with the field to maximize its utility.
ISSN:1471-244X
1471-244X
DOI:10.1186/s12888-020-02734-6