Joint factor structure of self-reported cognitive and affective problems in a help-seeking population
Year: 2026
Type: article
Study design: Observational Study
Abstract: INTRODUCTION: Self-reported cognitive and affective complaints are crucial in diagnosing neuropsychiatric conditions like adult attention-deficit/hyperactivity disorder (ADHD). While common, these complaints often reflect factors beyond measurable cognitive deficits, highlighting the need for validated assessment tools. This study uses a transdiagnostic approach to (1) explore factor models underlying self-reported cognitive and affective problems and (2) examine how these complaints relate to objective neuropsychological performance, aiming to improve clinical assessment and understanding. METHOD: Data were collected from 808 adolescents and adults seeking support for self-perceived learning and co-occurring mental health challenges from the Finnish Rehabilitation Foundation between 2014 and 2021. Self-reported cognitive and affective (depression and anxiety) complaints were assessed with the Questionnaire of Learning and Mental Health Problems (KOMO), and neuropsychological test data were additionally obtained from a subgroup of 70 participants. The structure of cognitive and affective complaints and their correlations with neuropsychological test performance were examined using exploratory and confirmatory factor analyses. RESULTS: = .05‒.10). Mathematics and visuospatial-visuomotor complaints showed the strongest negative associations with neuropsychological test performance, while attention-executive function complaints had unexpected positive associations with performance in several cognitive domains. CONCLUSION: This study replicates the transdiagnostic structure of affective problems and suggests that cognitive complaints do not fit a comparable general factor structure. Findings highlight the complexity of self-reported cognitive issues - particularly those related to attention and executive function - and underscore the need for comprehensive assessments that go beyond self-report measures.
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W7148630427
