Attention-deficit/hyperactivity disorder in young children: predictors of diagnostic stability
Evelyn C Law1, Georgios D Sideridis, Lisa Albers Prock
1Division of Developmental Medicine, and.
Insights
Most young children diagnosed with attention-deficit/hyperactivity disorder (ADHD) maintain their diagnosis over time. Baseline child and family factors predict ADHD diagnostic stability, informing treatment planning for early childhood ADHD.
Area of Science:
- Child and Adolescent Psychiatry
- Developmental Psychology
- Neurodevelopmental Disorders
Background:
- Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder.
- Accurate diagnosis in early childhood is crucial for timely intervention.
- Diagnostic stability in young children with ADHD requires further investigation.
Purpose of the Study:
- To estimate diagnostic stability in young children diagnosed with ADHD.
- To identify child and family predictors of ADHD diagnostic stability.
- To inform early intervention strategies for ADHD.
Main Methods:
- Longitudinal study of children aged 3-6 years, 11 months diagnosed with ADHD.
- Follow-up assessments conducted to determine continued ADHD diagnosis.
- Logistic regression and latent class models used to identify predictors and profiles.
Main Results:
- 70.4% of children maintained their ADHD diagnosis at follow-up.
- Predictors of stability included baseline symptoms, parental psychopathology, and socioeconomic status.
- Three distinct profiles identified: no longer meeting criteria, persistent ADHD with high parental psychopathology, and persistent ADHD with low socioeconomic status.
Conclusions:
- Young children diagnosed with ADHD after comprehensive assessments show high diagnostic stability.
- Child and family factors are key predictors of ADHD diagnostic stability.
- Findings can guide personalized treatment planning for early childhood ADHD.
Objectives:
The goals of this study were (1) to provide estimates of diagnostic stability for a sample of young children diagnosed with attention-deficit/hyperactivity disorder (ADHD) after undergoing comprehensive multidisciplinary assessments and (2) to identify baseline child and family characteristics that predict diagnostic stability over time.
Methods:
Children aged 3 to 6 years, 11 months consecutively diagnosed with ADHD after multidisciplinary consultations at a tertiary care clinic between 2003 and 2008 were recontacted in 2012 and 2013 (N = 120). At follow-up, the primary outcome was the proportion of children who continued to meet diagnostic criteria for ADHD. To identify predictors of diagnostic stability, logistic regression models were used. In addition, a latent class model was used to independently classify subjects into distinct clusters.
Results:
In this cohort, 70.4% of the children contacted at follow-up continued to meet diagnostic criteria for ADHD. Predictors of diagnostic stability included externalizing and internalizing symptoms at baseline, parental history of psychopathology, and family socioeconomic status. The latent class model independently identified 3 distinct profiles: (1) children who no longer met ADHD criteria; (2) children with persistent ADHD and high parental psychopathology; and (3) children with persistent ADHD and low family socioeconomic status.
Conclusions:
Young children who underwent comprehensive developmental and psychological assessments before receiving an ADHD diagnosis, had higher rates of diagnostic stability than in previous studies of community samples. Child and family factors that predict diagnostic stability have the potential to guide treatment planning for children diagnosed with ADHD before 7 years of age.
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