| Literature DB >> 34970162 |
Karin Windsperger1, Stefanie Hoehl2.
Abstract
Down syndrome (DS) is the most prevalent neurodevelopmental disorder, with a known genetic cause. Besides facial dysmorphologies and congenital and/or acquired medical conditions, the syndrome is characterized by intellectual disability, accelerated aging, and an increased likelihood of an early onset Alzheimer's disease in adulthood. These common patterns of DS are derived from the long-held standard in the field of DS research, that describes individuals with DS as a homogeneous group and compares phenotypic outcomes with either neurotypical controls or other neurodevelopmental disorders. This traditional view has changed, as modern research pinpoints a broad variability in both the occurrence and severity of symptoms across DS, arguing for DS heterogeneity and against a single "DS profile." Nevertheless, prenatal counseling does not often prioritize the awareness of potential within-group variations of DS, portraying only a vague picture of the developmental outcomes of children with DS to expectant parents. This mini-review provides a concise update on existent information about the heterogeneity of DS from a full-spectrum developmental perspective, within an interdisciplinary context. Knowledge on DS heterogeneity will not only enable professionals to enhance the quality of prenatal counseling, but also help parents to set targeted early interventions, to further optimize daily functions and the quality of life of their children.Entities:
Keywords: Alzheimer's disease; Down syndrome; developmental outcome; medical comorbidities; phenotypic heterogeneity; prenatal counseling; social environment; trisomy 21
Year: 2021 PMID: 34970162 PMCID: PMC8712441 DOI: 10.3389/fpsyt.2021.749046
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
Characterization of the 3-class model of individuals with DS (N = 314; 6–25 years) based on the variability observed in cognitive and behavioral measures, identified by Channell et al. (23) using a latent profile analysis.
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| Number of participants | |||
| Strengthens (relative to sample average) | Cognitive skills (IQ, visuospatial abilities), adaptive behavior, executive function | – | Cognitive skills (IQ, visuospatial abilities), adaptive behavior |
| Weaknesses (relative to sample average) | – | Cognitive skills (IQ, visuospatial abilities), executive function, adaptive behavior, maladaptive behavior (ASD, hyperactivity) | Maladaptive behavior (ASD), executive function |
ASD, autism spectrum disorder; IQ, intelligence quotient.