ArticlePsychiatry investigation2018
The Symptom Trajectory of Attention-Deficit Hyperactivity Disorder in Korean School-Age Children.
Article in Psychiatry investigation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Data-driven mechanistic analysis of digital therapeutic-assisted training and evaluation of personalized protocol effects in children with attention deficit/hyperactivity disorder.Frontiers in psychiatry · 2026Trial
- Potential Inflammatory Biomarker in Patients with Attention Deficit Hyperactivity Disorder.International journal of molecular sciences · 2022Review
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Authors and funding
7 authors.
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Abstract
objectiveWe aimed to investigate symptom trajectory of attention-deficit hyperactivity disorder (ADHD) in Korean school-age children.
methodsFour hundred fifty six elementary school children were enrolled when they were in 1st grade and assessed once per year until 4th grade. Symptom severity was assessed by parents using the Korean version of the ADHD rating scale (K-ARS). High-risk was defined as a K-ARS score >18; 377, 325, and 284 children participated in the subsequent assessments. Symptom trajectory was analyzed using a mixed-model approach consistent with the longitudinal nature of the present study including missing data.
resultsK-ARS scores demonstrated significant main effects of time (F=35.33; p<0.001), sex (F=20.77; p<0.001), and first-year high-risk group (F=240.90; p<0.001). It also demonstrated a significant time×first-year high-risk group interaction effect (F=38.14; p<0.001), but not a time×sex interaction effect.
conclusionK-ARS scores demonstrated a tendency to decline with aging. Individuals in the high-risk group demonstrated earlier declining tendency than those in the non-high risk group. Although total K-ARS scores differed significantly between the sexes at all assessments, the declining pattern between both sexes did not differ significantly. Further studies including larger sample sizes, diagnostic interviews, and complete data sets are needed to confirm findings of the present study.
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