ADHD Comorbidity Structure and Impairment: Results of the WHO World Mental Health Surveys International College Student Project (WMH-ICS)

Objective: To examine the prevalence of ADHD and the association of comorbid disorders, and multivariate disorder classes with role impairment in college students. Method: About 15,991 freshmen (24 colleges, 9 countries, WMH-ICS) (response rate = 45.6%) completed online WMH-CIDI-SC surveys for 6-mon...

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Bibliographic Details
Main Authors: Mak, A.D.P., Lee, S., Sampson, N.A., Albor, Y., Alonso, J., Auerbach, R.P., Baumeister, H., Benjet, C., Bruffaerts, R., Cuijpers, P., Ebert, D.D., Gutierrez-Garcia, R.A., Hasking, Penelope, Lapsley, C., Lochner, C., Kessler, R.C.
Format: Journal Article
Language:English
Published: SAGE PUBLICATIONS INC 2022
Subjects:
Online Access:https://research.vu.nl/en/publications/4fe9a11f-a4ee-48c1-b833-e886cd2b13fe
http://hdl.handle.net/20.500.11937/93190
Description
Summary:Objective: To examine the prevalence of ADHD and the association of comorbid disorders, and multivariate disorder classes with role impairment in college students. Method: About 15,991 freshmen (24 colleges, 9 countries, WMH-ICS) (response rate = 45.6%) completed online WMH-CIDI-SC surveys for 6-month ADHD and six 12-month DSM-IV disorders. We examined multivariate disorder classes using latent class analysis (LCA) and simulated a population attributable risk proportions (PARPs) of ADHD-related impairment. Results: About 15.9% had ADHD, of which 58.4% had comorbidities. LCA classified ADHD respondents to pure (42.9%), internalizing (36.0%), bipolar comorbidities (11.3%), and externalizing disorder classes (9.8%). ADHD, comorbidities, and multivariate disorder classes independently predicted severe impairment. PARPs: eliminating ADHD hypothetically reduced severe impairment by 19.2%, 10.1% adjusted for comorbidities, 9.5% for multivariate disorder classes. Conclusions: ADHD and comorbid disorders are common and impairing in college students. Personalized transdiagnostic interventions guided by multivariate disorder classes should be explored.