Participation as a Predictor of Quality of Life among Japanese Children with Neurodevelopmental Disorders Analyzed Using a Machine Learning Algorithm.
QOL
children
neurodevelopmental disorder
participation
random forest analysis
well-being
Journal
Children (Basel, Switzerland)
ISSN: 2227-9067
Titre abrégé: Children (Basel)
Pays: Switzerland
ID NLM: 101648936
Informations de publication
Date de publication:
16 May 2024
16 May 2024
Historique:
received:
08
04
2024
revised:
15
05
2024
accepted:
15
05
2024
medline:
25
5
2024
pubmed:
25
5
2024
entrez:
25
5
2024
Statut:
epublish
Résumé
Participation is important for children's quality of life (QOL). This study aimed to identify participation factors that influence QOL among Japanese children with neurodevelopmental disorders. Ninety-two Japanese parents of children with neurodevelopmental disorders participated in this study. The parents completed the parent version of the Kid- and Kiddo-KINDL health-related QOL questionnaire and the Participation and Environment Measure for Children and Youth. The data were examined using the random forest algorithm to analyze the participation factors that affected the children's QOL. The analyses revealed that school and community environmental factors that affected participation were the most important predictors of QOL among children. As school and community environments can significantly impact the QOL of children with neurodevelopmental disorders, greater focus should be placed on participation in environmental contexts.
Identifiants
pubmed: 38790598
pii: children11050603
doi: 10.3390/children11050603
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : JSPS KAKENHI
ID : 23K02581