Role of parental and environmental characteristics in toddlers’ physical activity and screen time: Bayesian analysis of structural equation models
Abstract Background Guided by the Socialization Model of Child Behavior (SMCB), this cross-sectional study examined direct and indirect associations of parental cognitions and behavior, the home and neighborhood environment, and toddlers’ personal attributes with toddlers’ physical activity and scre...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2018-02-01
|
Series: | International Journal of Behavioral Nutrition and Physical Activity |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12966-018-0649-5 |
id |
doaj-90c7d30240994ce0a281409d7e5de52e |
---|---|
record_format |
Article |
spelling |
doaj-90c7d30240994ce0a281409d7e5de52e2020-11-24T21:21:42ZengBMCInternational Journal of Behavioral Nutrition and Physical Activity1479-58682018-02-0115111410.1186/s12966-018-0649-5Role of parental and environmental characteristics in toddlers’ physical activity and screen time: Bayesian analysis of structural equation modelsEun-Young Lee0Kylie D. Hesketh1Ryan E. Rhodes2Christina M. Rinaldi3John C. Spence4Valerie Carson5Faculty of Kinesiology, Sport, and Recreation, University of AlbertaInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Faculty of Health, Deakin UniversitySchool of Exercise Science, Physical and Health Education, University of VictoriaDepartment of Educational Psychology, Faculty of Education, University of AlbertaFaculty of Kinesiology, Sport, and Recreation, University of AlbertaFaculty of Kinesiology, Sport, and Recreation, University of AlbertaAbstract Background Guided by the Socialization Model of Child Behavior (SMCB), this cross-sectional study examined direct and indirect associations of parental cognitions and behavior, the home and neighborhood environment, and toddlers’ personal attributes with toddlers’ physical activity and screen time. Methods Participants included 193 toddlers (1.6 ± 0.2 years) from the Parents’ Role in Establishing healthy Physical activity and Sedentary behavior habits (PREPS) project. Toddlers’ screen time and personal attributes, physical activity- or screen time-specific parental cognitions and behaviors, and the home and neighborhood environment were measured via parental-report using the PREPS questionnaire. Accelerometry-measured physical activity was available in 123 toddlers. Bayesian estimation in structural equation modeling (SEM) using the Markov Chain Monte Carlo algorithm was performed to test an SMCB hypothesized model. Covariates included toddlers’ age, sex, race/ethnicity, main type of childcare, and family household income. Results In the SMCB hypothesized screen time model, higher parental barrier self-efficacy for limiting toddlers’ screen time was associated with higher parental screen time limiting practices (β = 0.451), while higher parental negative outcome expectations for limiting toddlers’ screen time was associated with lower parental screen time limiting practices (β = − 0.147). In turn, higher parental screen time limiting practices was associated with lower screen time among toddlers (β = − 0.179). Parental modeling of higher screen time was associated with higher screen time among toddlers directly (β = 0.212) and indirectly through the home environment. Specifically, higher screen time among parents was associated with having at least one electronic device in toddlers’ bedrooms (β = 0.146) and, in turn, having electronics in the bedroom, compared to none, was associated with higher screen time among toddlers (β = 0.250). Neighborhood safety was not associated with toddlers’ screen time in the SEM analysis. No significant correlations were observed between the SMCB variables and toddlers’ physical activity; thus, no further analyses were performed for physical activity. Conclusions Parents and their interactions with the home environment may play an important role in shaping toddlers’ screen time. Findings can inform family-based interventions aiming to minimize toddlers’ screen time. Future research is needed to identify correlates of toddlers’ physical activity.http://link.springer.com/article/10.1186/s12966-018-0649-5Screen time limitsParental modelingBarrier self-efficacyOutcome expectationsBayesian theoremSocialization model of child behavior |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Eun-Young Lee Kylie D. Hesketh Ryan E. Rhodes Christina M. Rinaldi John C. Spence Valerie Carson |
spellingShingle |
Eun-Young Lee Kylie D. Hesketh Ryan E. Rhodes Christina M. Rinaldi John C. Spence Valerie Carson Role of parental and environmental characteristics in toddlers’ physical activity and screen time: Bayesian analysis of structural equation models International Journal of Behavioral Nutrition and Physical Activity Screen time limits Parental modeling Barrier self-efficacy Outcome expectations Bayesian theorem Socialization model of child behavior |
author_facet |
Eun-Young Lee Kylie D. Hesketh Ryan E. Rhodes Christina M. Rinaldi John C. Spence Valerie Carson |
author_sort |
Eun-Young Lee |
title |
Role of parental and environmental characteristics in toddlers’ physical activity and screen time: Bayesian analysis of structural equation models |
title_short |
Role of parental and environmental characteristics in toddlers’ physical activity and screen time: Bayesian analysis of structural equation models |
title_full |
Role of parental and environmental characteristics in toddlers’ physical activity and screen time: Bayesian analysis of structural equation models |
title_fullStr |
Role of parental and environmental characteristics in toddlers’ physical activity and screen time: Bayesian analysis of structural equation models |
title_full_unstemmed |
Role of parental and environmental characteristics in toddlers’ physical activity and screen time: Bayesian analysis of structural equation models |
title_sort |
role of parental and environmental characteristics in toddlers’ physical activity and screen time: bayesian analysis of structural equation models |
publisher |
BMC |
series |
International Journal of Behavioral Nutrition and Physical Activity |
issn |
1479-5868 |
publishDate |
2018-02-01 |
description |
Abstract Background Guided by the Socialization Model of Child Behavior (SMCB), this cross-sectional study examined direct and indirect associations of parental cognitions and behavior, the home and neighborhood environment, and toddlers’ personal attributes with toddlers’ physical activity and screen time. Methods Participants included 193 toddlers (1.6 ± 0.2 years) from the Parents’ Role in Establishing healthy Physical activity and Sedentary behavior habits (PREPS) project. Toddlers’ screen time and personal attributes, physical activity- or screen time-specific parental cognitions and behaviors, and the home and neighborhood environment were measured via parental-report using the PREPS questionnaire. Accelerometry-measured physical activity was available in 123 toddlers. Bayesian estimation in structural equation modeling (SEM) using the Markov Chain Monte Carlo algorithm was performed to test an SMCB hypothesized model. Covariates included toddlers’ age, sex, race/ethnicity, main type of childcare, and family household income. Results In the SMCB hypothesized screen time model, higher parental barrier self-efficacy for limiting toddlers’ screen time was associated with higher parental screen time limiting practices (β = 0.451), while higher parental negative outcome expectations for limiting toddlers’ screen time was associated with lower parental screen time limiting practices (β = − 0.147). In turn, higher parental screen time limiting practices was associated with lower screen time among toddlers (β = − 0.179). Parental modeling of higher screen time was associated with higher screen time among toddlers directly (β = 0.212) and indirectly through the home environment. Specifically, higher screen time among parents was associated with having at least one electronic device in toddlers’ bedrooms (β = 0.146) and, in turn, having electronics in the bedroom, compared to none, was associated with higher screen time among toddlers (β = 0.250). Neighborhood safety was not associated with toddlers’ screen time in the SEM analysis. No significant correlations were observed between the SMCB variables and toddlers’ physical activity; thus, no further analyses were performed for physical activity. Conclusions Parents and their interactions with the home environment may play an important role in shaping toddlers’ screen time. Findings can inform family-based interventions aiming to minimize toddlers’ screen time. Future research is needed to identify correlates of toddlers’ physical activity. |
topic |
Screen time limits Parental modeling Barrier self-efficacy Outcome expectations Bayesian theorem Socialization model of child behavior |
url |
http://link.springer.com/article/10.1186/s12966-018-0649-5 |
work_keys_str_mv |
AT eunyounglee roleofparentalandenvironmentalcharacteristicsintoddlersphysicalactivityandscreentimebayesiananalysisofstructuralequationmodels AT kyliedhesketh roleofparentalandenvironmentalcharacteristicsintoddlersphysicalactivityandscreentimebayesiananalysisofstructuralequationmodels AT ryanerhodes roleofparentalandenvironmentalcharacteristicsintoddlersphysicalactivityandscreentimebayesiananalysisofstructuralequationmodels AT christinamrinaldi roleofparentalandenvironmentalcharacteristicsintoddlersphysicalactivityandscreentimebayesiananalysisofstructuralequationmodels AT johncspence roleofparentalandenvironmentalcharacteristicsintoddlersphysicalactivityandscreentimebayesiananalysisofstructuralequationmodels AT valeriecarson roleofparentalandenvironmentalcharacteristicsintoddlersphysicalactivityandscreentimebayesiananalysisofstructuralequationmodels |
_version_ |
1725998721891565568 |