Comorbidity of Attention Deficit/ Hyperactivity Disorder with Anxiety and Depression: Based on Claims Data of Taiwan.

• Main Authors: Yueh-Ming Tai, 戴月明
• Other Authors: 邱泓文
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/19281213208652141587

博士 === 臺北醫學大學 === 醫學科學研究所 === 100 === Objectives: Regarding patients with depression or anxiety in clinics frequently mentioned their symptoms of Attention Deficit/ Hyperactivity Disorder (ADHD) in their early lives, this study was aimed to explore and confirm their temporal relationships based on Taiwan National Health Insurance Database (NHIRD). Methods: We applied Association Rule Mining (ARM) model to analysis all psychological diagnoses in claims data of 18,321 youngsters of ADHD in 2001 and their 73,328 matched controls. To explore further temporal relationship between ADHD and anxiety disorders (ANXs), we recruited 2,385 cases of newly diagnosis as ADHD and 9,540 matched controls in a 5% randomly selected dataset from year 1997 to 2007. A survival analysis was implemented for the longitudinally observed outcome as the first diagnosis of ANXs from year 1999 to 2003. Results: In ARM analysis, ANXs had a strong relationship with ADHD (support: 13.37%; confidence 91.89%) and there were weaker associations from depression to both ADHD and ANXs. The Cox proportional hazard model revealed a significant prediction of ADHD to ANXs (Hazard ratio =15.83) after controlling for the effects from other psychiatric disorders. Conclusions: Our finding of a significant prediction of ADHD to ANXs supports a temporal relationship from ADHD to ANXs. Combining with previous evidences, we proposed an ADHD- ANXs-depression temporal relationship, which strengthens our ARM result and indicates the importance of early treatment. This study also demonstrated the practicality of ARM in comorbidity studies using large clinic claims databases like NHIRD and surely guarantees further data-mining applications in this field.