Latent Class Analysis Identifies Distinctive Behavioral Subtypes in Children with Fragile X Syndrome
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature..
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 (ABCFX). A 5-class solution yielded the most clinically meaningful, pharmacotherapy independent behavioral groups with distinctive SCQ, SRS-2, and ABCFX 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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:54 |
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| Enthalten in: |
Journal of autism and developmental disorders - 54(2024), 2 vom: 23. Feb., Seite 725-737 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Kaufmann, Walter E [VerfasserIn] |
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| Links: |
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| Themen: |
Autism symptomatology |
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| Anmerkungen: |
Date Completed 29.01.2024 Date Revised 18.02.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1007/s10803-022-05821-7 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM34954316X |
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| 520 | |a © 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. | ||
| 520 | |a 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 (ABCFX). A 5-class solution yielded the most clinically meaningful, pharmacotherapy independent behavioral groups with distinctive SCQ, SRS-2, and ABCFX 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Autism symptomatology | |
| 650 | 4 | |a Fragile X syndrome | |
| 650 | 4 | |a Intellectual disability | |
| 650 | 4 | |a Latent class analysis | |
| 650 | 4 | |a Maladaptive behavior | |
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| 700 | 1 | |a Erickson, Craig A |e investigator |4 oth | |
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