Machine learning derived physical activity in preschool children with developmental coordination disorder

Designing interventions for preschool children with motor difficulties targeting specific physical activity types (walk/run) may help mitigate physical activity intensity differences observed later in childhood.

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Publication Details

Journal
Developmental Medicine & Child Neurology
Published
2024-12-10
DOI
https://doi.org/10.1111/dmcn.16186
Citations
6
Primary Topic
Children's Physical and Motor Development
Type
article
Field-Weighted Citation Impact
4.74

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article

Machine learning derived physical activity in preschool children with developmental coordination disorder

Matthew Kwan, John Cairney, Joyce Obeid, Elyse Letts et al.
6 citations
Developmental Medicine & Child Neurology
Children's Physical and Motor Development
4.74
article

Machine learning derived physical activity in preschool children with developmental coordination disorder

Matthew Kwan, John Cairney, Joyce Obeid, Elyse Letts, Stewart G. Trost, Sara King‐Dowling
article en
6 citations

Abstract

Designing interventions for preschool children with motor difficulties targeting specific physical activity types (walk/run) may help mitigate physical activity intensity differences observed later in childhood.

Developmental Medicine & Child NeurologyVol. 67(7)
Children's Hospital of Philadelphia (US), The University of Queensland (AU), Brock University (CA), McMaster University (CA)
Canadian Institutes of Health Research
Openalex Percentile: Top 5%
Children's Physical and Motor Development
4.74
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Machine learning derived physical activity in preschool children with developmental coordination disorder — Matthew Kwan, John Cairney, et al. · Developmental Medicine & Child Neurology (2024) | TGRS Research Map | TGRS