Latent Class Analysis Identifies Distinctive Behavioral Subtypes in Children with Fragile X Syndrome

Fragile X syndrome (FXS) is characterized by variable neurobehavioral abnormalities, which leads to difficulties in developing and evaluating treatments and in determining accurate prognosis. We employed a pediatric cross-sectional sample (1,072 males, 338 females) from FORWARD, a clinic-based natur...

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Published inJournal of autism and developmental disorders Vol. 54; no. 2; pp. 725 - 737
Main Authors Kaufmann, Walter E., Raspa, Melissa, Bann, Carla M., Gable, Julia M., Harris, Holly K., Budimirovic, Dejan B., Lozano, Reymundo
Format Journal Article
LanguageEnglish
Published New York Springer US 01.02.2024
Springer Nature B.V
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Summary:Fragile X syndrome (FXS) is characterized by variable neurobehavioral abnormalities, which leads to difficulties in developing and evaluating treatments and in determining accurate prognosis. We employed a pediatric cross-sectional sample (1,072 males, 338 females) from FORWARD, a clinic-based natural history study, to identify behavioral subtypes by latent class analysis. Input included co-occurring behavioral conditions, sleep and sensory problems, autistic behavior scales (SCQ, SRS-2), and the Aberrant Behavior Checklist revised for FXS (ABC FX ). A 5-class solution yielded the most clinically meaningful, pharmacotherapy independent behavioral groups with distinctive SCQ, SRS-2, and ABC FX profiles, and adequate non-overlap (≥ 71%): “Mild” (31%), “Moderate without Social Impairment” (32%), “Moderate with Social Impairment” (7%), “Moderate with Disruptive Behavior” (20%), and “Severe” (9%). Our findings support FXS subtyping, for improving clinical management and therapeutic development.
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ISSN:0162-3257
1573-3432
1573-3432
DOI:10.1007/s10803-022-05821-7