OBJECTIVE: To investigate whether behaviors of inattention, hyperactivity, and impulsivity among adolescents in Northern Finland reflect qualitatively distinct subtypes of ADHD, variants along a single continuum of severity, or of severity differences within subtypes. METHOD: Latent class models, exploratory factor models, and factor mixture models were applied to questionnaire data of ADHD behaviors obtained from the Northern Finland Birth Cohort (NFBC). Latent class models correspond to qualitatively distinct subtypes, factor analysis corresponds to severity differences, and factor mixture analysis allows for both subtypes and severity differences within subtypes. RESULTS: A comparison of the different models shows that models that distinguish between a low scoring majority class (unaffecteds) and a high scoring minority class (affecteds), and allow for two factors (inattentive, hyperactive-impulsive) with severity differences provide the best fit. CONCLUSIONS: The analysis provides support that a high-scoring minority group (8.8% of males and 6.8% of females) likely reflects an ADHD group in the Northern Finland Birth Cohort, whereas the majority of the population falls into a low-scoring group of unaffecteds. Distinct factors composed of items of inattention and hyperactivity-impulsivity are evident for both sexes with considerable variability in severity within each class.
OBJECTIVE: To investigate whether behaviors of inattention, hyperactivity, and impulsivity among adolescents in Northern Finland reflect qualitatively distinct subtypes of ADHD, variants along a single continuum of severity, or of severity differences within subtypes. METHOD: Latent class models, exploratory factor models, and factor mixture models were applied to questionnaire data of ADHD behaviors obtained from the Northern Finland Birth Cohort (NFBC). Latent class models correspond to qualitatively distinct subtypes, factor analysis corresponds to severity differences, and factor mixture analysis allows for both subtypes and severity differences within subtypes. RESULTS: A comparison of the different models shows that models that distinguish between a low scoring majority class (unaffecteds) and a high scoring minority class (affecteds), and allow for two factors (inattentive, hyperactive-impulsive) with severity differences provide the best fit. CONCLUSIONS: The analysis provides support that a high-scoring minority group (8.8% of males and 6.8% of females) likely reflects an ADHD group in the Northern Finland Birth Cohort, whereas the majority of the population falls into a low-scoring group of unaffecteds. Distinct factors composed of items of inattention and hyperactivity-impulsivity are evident for both sexes with considerable variability in severity within each class.
Authors: James G Waxmonsky; Fran A Wymbs; Meaghan E Pariseau; Peter J Belin; Daniel A Waschbusch; Lysett Babocsai; Gregory A Fabiano; Opeolowa O Akinnusi; Jenifer L Haak; William E Pelham Journal: J Atten Disord Date: 2012-02-28 Impact factor: 3.256
Authors: T Sigi Hale; Susan L Smalley; Jeff Dang; Grant Hanada; James Macion; James T McCracken; James J McGough; Sandra K Loo Journal: J Psychiatr Res Date: 2009-12-16 Impact factor: 4.791
Authors: Pamela K Keel; Ross D Crosby; Thomas B Hildebrandt; Alissa A Haedt-Matt; Julie A Gravener Journal: Int J Eat Disord Date: 2012-08-13 Impact factor: 4.861