Participation as a Predictor of Quality of Life among Japanese Children with Neurodevelopmental Disorders Analyzed Using a Machine Learning Algorithm.
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...
| Publicado en: | Children Vol. 11; no. 5; pp. 603 - 613 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
MDPI
May2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=177499038&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 177499038 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 22279067 LW6K jtl: Children issn: 22279067 maglogo: N pubinfo: dt: May2024 vid: 11 iid: 5 pid: 97109 pub: MDPI artinfo: ui: 177499038 177499038 177499038 10.3390/children11050603 177499038 ppf: 603 ppct: 10 formats: tig: atl: Participation as a Predictor of Quality of Life among Japanese Children with Neurodevelopmental Disorders Analyzed Using a Machine Learning Algorithm. aug: au: Shiozu, Hiroyasu Kimura, Daisuke Iwanaga, Ryoichiro Kurasawa, Shigeki affil: Department of Occupational Therapy, College of Life and Health Sciences, Chubu University, Kasugai 487-8501, Japan sug: subj: Social Participation Psychosocial Factors Quality of Life Evaluation Mental Disorders Diagnosed in Childhood Machine Learning Algorithms Prediction Models Human Japan Cross Sectional Studies Random Forest Male Female Child Adolescence Young Adult Adult Descriptive Statistics Funding Source Questionnaires Surveys Regression Decision Trees Mann-Whitney U Test Data Analysis Software Autism Spectrum Disorder Diagnosis Attention Deficit Hyperactivity Disorder Diagnosis Child: 6-12 years Adolescent: 13-18 years Adult: 19-44 years Male Female ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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