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Bipolar Disorder and Attention-Deficit/Hyperactivity Disorder: Predicting Diagnosis in Children and Adolescents

Waite, Tabitha Caroline
http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1510428100431449

Abstract Details

2017, Master of Arts (MA), Bowling Green State University, Psychology/Clinical.
This paper explores how specific profiles of scores on the Child Behavior Checklist 6-18, as well as race, gender and psychosocial functioning, predict the likelihood of a clinic-referred child being diagnosed with ADHD, bipolar disorder, or an alternative diagnosis. Previous research examining predictors of diagnosis typically uses controlled research-clinic settings, and the current study is unique in its use of a sample diagnosed at a community mental health center. In order to determine the variables that may predict an ADHD or bipolar disorder diagnosis, this study used multinomial logistic regressions with race, gender, total psychosocial functioning score, and CBCL subscale profile as independent variables, and with a multiple-category diagnosis variable (ADHD, bipolar disorder, or other diagnosis) as the dependent variable. ROC curve analyses were conducted to determine the diagnostic accuracy of the functioning and CBCL subscale profiles. Results supported previous research wherein children with a combined score greater than 180 and less than 210 on the Attention Problems, Aggression, and Anxious/Depressed Subscales of the CBCL would be more likely to receive an ADHD diagnosis than youth with a score below 180, and that youth with a combined score greater than 210 would be more likely to receive a bipolar disorder diagnosis than youth with a score below 210. However, results also indicated that children with ADHD are not more likely than children with bipolar disorders to score below 210, indicating that the profile may not discriminate well between the two disorders. Further analyses found that functioning significantly predicted diagnosis with both ADHD and bipolar disorders, though it appeared to share predictive power with symptoms. ROC Curve analyses indicate that the models may more accurately predict bipolar disorders than ADHD, and the profiles ranged from having no predictive power to being good predictors. Race did not predict diagnosis, but gender did, such that females were less likely than males to be diagnosed with both bipolar disorders and ADHD, and age predicted diagnosis such that younger children were more likely to be diagnosed with ADHD and older children were more likely to be diagnosed with bipolar disorders. Results are discussed.
Carolyn Tompsett, Ph.D. (Advisor)
Annette Mahoney, Ph.D. (Committee Member)
Dara Musher-Eizenman, Ph.D. (Committee Member)
133 p.
Clinical Psychology; Psychology
clinical psychology; bipolar disorder; adhd; child behavior checklist; functioning; pediatric bipolar disorder

Recommended Citations

Citations

  • Waite, T. C. (2017). Bipolar Disorder and Attention-Deficit/Hyperactivity Disorder: Predicting Diagnosis in Children and Adolescents [Master's thesis, Bowling Green State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1510428100431449

    APA Style (7th edition)

  • Waite, Tabitha. Bipolar Disorder and Attention-Deficit/Hyperactivity Disorder: Predicting Diagnosis in Children and Adolescents. 2017. Bowling Green State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1510428100431449.

    MLA Style (8th edition)

  • Waite, Tabitha. "Bipolar Disorder and Attention-Deficit/Hyperactivity Disorder: Predicting Diagnosis in Children and Adolescents." Master's thesis, Bowling Green State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1510428100431449

    Chicago Manual of Style (17th edition)

bgsu1510428100431449
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This open access ETD is published by Bowling Green State University and OhioLINK.