2020
DOI: 10.31234/osf.io/t9swg
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Atypical development of attentional control associates with later adaptive functioning, autism and ADHD traits

Abstract: Autism is frequently associated with difficulties with top-down attentional control, which impact on individuals’ mental health and quality of life. The developmental processes involved in these attentional difficulties are not well understood. Using a data-driven approach, 2 samples (N=294 and 412) of infants at elevated and typical likelihood of autism were grouped according to profiles of parent report of attention at 10, 15 and 25 months. In contrast to the normative profile of increases in attentional con… Show more

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Cited by 6 publications
(10 citation statements)
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References 57 publications
(78 reference statements)
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“…When we plotted the non‐standardized mean scores for the attention scales (Figure S4), our results partially aligned with those of Hendry et al. (2020). For instance, our low attention shifting profile aligned most closely to Hendry et al.’s plateaued attention profile, which was characterized by high scores on the infancy attention scale followed by a plateau at 24 months on the two attention scales.…”
Section: Discussionsupporting
confidence: 86%
“…When we plotted the non‐standardized mean scores for the attention scales (Figure S4), our results partially aligned with those of Hendry et al. (2020). For instance, our low attention shifting profile aligned most closely to Hendry et al.’s plateaued attention profile, which was characterized by high scores on the infancy attention scale followed by a plateau at 24 months on the two attention scales.…”
Section: Discussionsupporting
confidence: 86%
“…Researchers have also found evidence of impaired attention control among individuals with autism spectrum disorder (Minshew et al, 1999). Notably, recent work by Hendry et al (2020) delineates how measurement of attention control may serve as an important indicator of risk for development of symptoms of autism spectrum disorder, ADHD, and functional impairments among infants.…”
Section: Neurodevelopmental Disordersmentioning
confidence: 99%
“…A somewhat different approach, particularly helpful where we are examining development over a profile of measures simultaneously, is to use a (preferably model‐based) data‐reduction tool such as multivariate growth or trajectory model to reduce variation to a limited number of distinct parameters (such as random intercepts and slopes) or groups (latent classes). These can then be examined for their association with early risk markers and moderators (Hendry et al, 2020). While such an approach can give considerable insight, the feature of the first stage in which information from multiple time‐points is exploited simultaneously can make establishing the causal status of the associations with moderators operating within the interval of those time‐points difficult.…”
Section: From Framework To Testable Hypothesesmentioning
confidence: 99%