Identifying the most proximal multi-level factors associated with meeting each of the 24-h movement behavior recommendations in a sample of autistic adults.

Autism spectrum disorder Machine-learning Physical activity Sedentary behavior Sleep duration Social-ecological

Journal

Disability and health journal
ISSN: 1876-7583
Titre abrégé: Disabil Health J
Pays: United States
ID NLM: 101306633

Informations de publication

Date de publication:
Oct 2022
Historique:
received: 11 09 2021
revised: 05 08 2022
accepted: 05 08 2022
pubmed: 12 9 2022
medline: 12 9 2022
entrez: 11 9 2022
Statut: ppublish

Résumé

Autistic adults have poorer 24-h movement behaviors, including lower levels of physical activity, more time spent being sedentary, and shorter sleep duration than neurotypical adults. Social ecological frameworks posit that 24-h movement behaviors are determined by multi-level domains; however, not known is which multi-level factors are most important to meeting each of the 24-h movement behavior guidelines among autistic adults. This study examined the relative importance of a range of multi-level determinants on meeting guidelines for the 24-h movement behaviors of aerobic physical activity, sedentary behavior, and sleep. We administered at cross-sectional electronic survey to a national self-selecting, convenience sample of autistic adults and caregivers of autistic adults residing in the USA. We used machine learning to examine the relative variable importance (VIMP) of 55 multi-level variables with meeting recommendations for physical activity, sedentary behavior, and sleep duration. VIMPs >0 indicate predictive variables/domains. A greater number of group activities attended in the last 3-months, and greater independence in completing activities of daily living were most important to meeting aerobic physical activity guidelines. Group activity participation and marital status were important to meeting sedentary behavior guidelines while having a fewer number of comorbidities was most important to achieving adequate sleep. These data support hypotheses about the role of family and social level interventions targeting movement behaviors in autistic adults.

Sections du résumé

BACKGROUND BACKGROUND
Autistic adults have poorer 24-h movement behaviors, including lower levels of physical activity, more time spent being sedentary, and shorter sleep duration than neurotypical adults. Social ecological frameworks posit that 24-h movement behaviors are determined by multi-level domains; however, not known is which multi-level factors are most important to meeting each of the 24-h movement behavior guidelines among autistic adults.
OBJECTIVE OBJECTIVE
This study examined the relative importance of a range of multi-level determinants on meeting guidelines for the 24-h movement behaviors of aerobic physical activity, sedentary behavior, and sleep.
METHODS METHODS
We administered at cross-sectional electronic survey to a national self-selecting, convenience sample of autistic adults and caregivers of autistic adults residing in the USA. We used machine learning to examine the relative variable importance (VIMP) of 55 multi-level variables with meeting recommendations for physical activity, sedentary behavior, and sleep duration. VIMPs >0 indicate predictive variables/domains.
RESULTS RESULTS
A greater number of group activities attended in the last 3-months, and greater independence in completing activities of daily living were most important to meeting aerobic physical activity guidelines. Group activity participation and marital status were important to meeting sedentary behavior guidelines while having a fewer number of comorbidities was most important to achieving adequate sleep.
CONCLUSIONS CONCLUSIONS
These data support hypotheses about the role of family and social level interventions targeting movement behaviors in autistic adults.

Identifiants

pubmed: 36089505
pii: S1936-6574(22)00117-0
doi: 10.1016/j.dhjo.2022.101367
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

101367

Subventions

Organisme : NIGMS NIH HHS
ID : P20 GM113125
Pays : United States

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of interest The authors have no conflicts of interest to report.

Auteurs

Sean Healy (S)

School of Nursing, Psychotherapy, and Community Health, Dublin City University, Dublin, Ireland.

Benjamin Brewer (B)

College of Health Sciences, University of Delaware, Newark, DE, USA.

Elissa Hoopes (E)

College of Health Sciences, University of Delaware, Newark, DE, USA.

Alexis Paller (A)

College of Health Sciences, University of Delaware, Newark, DE, USA.

Shannon Mayberry (S)

College of Health Sciences, University of Delaware, Newark, DE, USA.

Joseph Maguire (J)

KenCrest Services, Blue Bell, PA, USA.

Julie Daly (J)

KenCrest Services, Blue Bell, PA, USA.

Paige Laxton (P)

College of Health Sciences, University of Delaware, Newark, DE, USA.

Freda Patterson (F)

College of Health Sciences, University of Delaware, Newark, DE, USA. Electronic address: fredap@udel.du.

Classifications MeSH