Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/19531
Title: Variation in Latent Classes of Adult Attention-Deficit Hyperactivity Disorder by Sex and Environmental Adversity
Contributor(s): Ebejer, Jane (author); Medland, Sarah (author); Van Der Werf, Julius H (author)orcid ; Lynskey, Michael (author); Martin, Nicholas (author); Duffy, David L (author)
Publication Date: 2016
DOI: 10.1177/1087054713506261
Handle Link: https://hdl.handle.net/1959.11/19531
Abstract: The findings of genetic, imaging and neuropsychological studies of attention-deficit hyperactivity disorder (ADHD) are mixed. To understand why this might be the case we use both dimensional and categorical symptom measurement to provide alternate and detailed perspectives of symptom expression. Method: Interviewers collected ADHD, conduct problems (CP) and sociodemographic data from 3793 twins and their siblings aged 22 to 49 (M = 32.6). We estimate linear weighting of symptoms across ADHD and CP items. Latent class analyses and regression describe associations between measured variables, environmental risk factors and subsequent disadvantage. Additionally, the clinical relevance of each class was estimated. Results: Five classes were found for women and men; few symptoms, hyperactive-impulsive, CP, inattentive, combined symptoms with CP. Women within the inattentive class reported more symptoms and reduced emotional health when compared to men and to women within other latent classes. Women and men with combined ADHD symptoms reported comorbid conduct problems but those with either inattention or hyperactivity-impulsivity only did not. Conclusion: The dual perspective of dimensional and categorical measurement of ADHD provides important detail about symptom variation across sex and with environmental covariates.
Publication Type: Journal Article
Source of Publication: Journal of Attention Disorders, 20(11), p. 934-945
Publisher: Sage Publications Inc
Place of Publication: Thousand Oaks, United States of America
ISSN: 1087-0547
1557-1246
Field of Research (FOR): 060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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