Sensor-based physical activity, sedentary time, and reported cell phone screen time: A hierarchy of correlates in youth.
Accelerometry
Adolescent
Age Factors
Algorithms
Body Composition
Cell Phone
/ statistics & numerical data
Child
Exercise
Family Characteristics
Female
Friends
Humans
Male
Parents
Portugal
Residence Characteristics
Screen Time
Sedentary Behavior
Sex Factors
Social Environment
Sports and Recreational Facilities
/ supply & distribution
Time Factors
Adolescents
Environment
Objective
Sedentary behavior
Socioecologic model
Journal
Journal of sport and health science
ISSN: 2213-2961
Titre abrégé: J Sport Health Sci
Pays: China
ID NLM: 101606001
Informations de publication
Date de publication:
01 2021
01 2021
Historique:
received:
15
10
2019
revised:
13
12
2019
accepted:
16
01
2020
pubmed:
22
4
2020
medline:
3
7
2021
entrez:
22
4
2020
Statut:
ppublish
Résumé
Evidence on correlates relies on subjective metrics and fails to include correlates across all levels of the ecologic model. We determined which correlates best predict sensor-based physical activity (PA), sedentary time (ST), and self-reported cell phone screen time (CST) in a large sample of youth, while considering a multiplicity of correlates. Using sensor-based accelerometry, we assessed the PA and ST of 2179 youths. A χ Among youth 10-14 years old, the correlates for being inactive consisted of being a girl, not having sport facilities in the neighborhood, and not perceiving the neighborhood as a safe place, whereas in the youth 15-18 years old, the correlate for being inactive was not performing sports (9.7% chance of being active). The correlates for predicting high ST in the younger group was not performing sports (55.8% chance for high ST), and in the older group, the correlates were not owning a pet, perceiving the neighborhood as safe, and having inactive parents (63.7% chance for high ST). In the younger group, the greatest chances of having high CST were among those who were in the last elementary school years, who were girls, and who did not have friends in the neighborhood (73.1% chance for high CST), whereas in the older group, the greatest chance for having high CST was among those who were girls and had a TV in the bedroom (74.3% chance for high CST). To counteract ST and boost MVPA among youths, a specific focus on girls, the promotion of sport participation and facilities, neighborhood safety, and involvement of family must be prioritized.
Sections du résumé
BACKGROUND
Evidence on correlates relies on subjective metrics and fails to include correlates across all levels of the ecologic model. We determined which correlates best predict sensor-based physical activity (PA), sedentary time (ST), and self-reported cell phone screen time (CST) in a large sample of youth, while considering a multiplicity of correlates.
METHODS
Using sensor-based accelerometry, we assessed the PA and ST of 2179 youths. A χ
RESULTS
Among youth 10-14 years old, the correlates for being inactive consisted of being a girl, not having sport facilities in the neighborhood, and not perceiving the neighborhood as a safe place, whereas in the youth 15-18 years old, the correlate for being inactive was not performing sports (9.7% chance of being active). The correlates for predicting high ST in the younger group was not performing sports (55.8% chance for high ST), and in the older group, the correlates were not owning a pet, perceiving the neighborhood as safe, and having inactive parents (63.7% chance for high ST). In the younger group, the greatest chances of having high CST were among those who were in the last elementary school years, who were girls, and who did not have friends in the neighborhood (73.1% chance for high CST), whereas in the older group, the greatest chance for having high CST was among those who were girls and had a TV in the bedroom (74.3% chance for high CST).
CONCLUSION
To counteract ST and boost MVPA among youths, a specific focus on girls, the promotion of sport participation and facilities, neighborhood safety, and involvement of family must be prioritized.
Identifiants
pubmed: 32315605
pii: S2095-2546(20)30034-X
doi: 10.1016/j.jshs.2020.03.003
pmc: PMC7856564
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
55-64Informations de copyright
Copyright © 2020. Production and hosting by Elsevier B.V.
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