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The relationships between parents’ and children’s screen times on body mass index: a cross-sectional path analysis

BACKGROUND: Understanding factors contributing to an individual reducing screen time is essential for promoting a healthy weight. Parents’ behavior affects children by influencing their daily decision-making through modeling, rules or restrictions, social support, and co-participation. We examined h...

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Autores principales: Ishii, Kaori, Shibata, Ai, Koohsari, Mohammad Javad, Oka, Koichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703793/
https://www.ncbi.nlm.nih.gov/pubmed/36437475
http://dx.doi.org/10.1186/s12889-022-14664-x
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author Ishii, Kaori
Shibata, Ai
Koohsari, Mohammad Javad
Oka, Koichiro
author_facet Ishii, Kaori
Shibata, Ai
Koohsari, Mohammad Javad
Oka, Koichiro
author_sort Ishii, Kaori
collection PubMed
description BACKGROUND: Understanding factors contributing to an individual reducing screen time is essential for promoting a healthy weight. Parents’ behavior affects children by influencing their daily decision-making through modeling, rules or restrictions, social support, and co-participation. We examined how the direct and indirect effects of parents’ and children’s behaviors regarding screen time influenced body mass index (BMI) among Japanese elementary school children. METHODS: We included 283 Japanese children, one child per household, aged 6–12 years, who were randomly selected from resident registries of two cities. The questionnaires were completed by children and their mothers and fathers. Screen time and sociodemographic attributes, including sex, age, employment status, height, and weight, were assessed using a mail-based survey. Path analyses were conducted to determine associations among children’s, fathers’, and mothers’ variables. It was hypothesized that after controlling for household income and children’s sex and age, mothers’ and fathers’ screen time on weekdays and weekends would be related to children’s weekdays and weekend screen time, respectively. In addition, we hypothesized that children’s weekday and weekend screen time was related to children’s BMI. RESULTS: Both fathers’ and mothers’ weekday screen times were associated with children’s weekday and weekend screen times. BMI was affected by children’s weekday screen time (0.117). The path coefficients for the indirect effects of mothers’ and fathers’ screen time on children’s BMI through children’s weekday screen time were 0.016 from the fathers’ weekday screen time and 0.024 from the mothers’ weekday screen time (GFI = .980, AGFI = .953, RMSEA = .030, AIC = 93.030). CONCLUSIONS: Both fathers’ and mothers’ weekday screen times indirectly affected children’s BMI through children’s weekday screen time among Japanese elementary school children. The strongest indirect effects could be seen by examining the paths of a mother’s weekday screen time through children’s screen time to BMI. Mothers who spend much time with their children are role models, and their behavior could affect the child’s behavior. The findings imply that intervention strategies to reduce screen time in children should also focus on modeling the mothers’ behavior.
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spelling pubmed-97037932022-11-29 The relationships between parents’ and children’s screen times on body mass index: a cross-sectional path analysis Ishii, Kaori Shibata, Ai Koohsari, Mohammad Javad Oka, Koichiro BMC Public Health Research BACKGROUND: Understanding factors contributing to an individual reducing screen time is essential for promoting a healthy weight. Parents’ behavior affects children by influencing their daily decision-making through modeling, rules or restrictions, social support, and co-participation. We examined how the direct and indirect effects of parents’ and children’s behaviors regarding screen time influenced body mass index (BMI) among Japanese elementary school children. METHODS: We included 283 Japanese children, one child per household, aged 6–12 years, who were randomly selected from resident registries of two cities. The questionnaires were completed by children and their mothers and fathers. Screen time and sociodemographic attributes, including sex, age, employment status, height, and weight, were assessed using a mail-based survey. Path analyses were conducted to determine associations among children’s, fathers’, and mothers’ variables. It was hypothesized that after controlling for household income and children’s sex and age, mothers’ and fathers’ screen time on weekdays and weekends would be related to children’s weekdays and weekend screen time, respectively. In addition, we hypothesized that children’s weekday and weekend screen time was related to children’s BMI. RESULTS: Both fathers’ and mothers’ weekday screen times were associated with children’s weekday and weekend screen times. BMI was affected by children’s weekday screen time (0.117). The path coefficients for the indirect effects of mothers’ and fathers’ screen time on children’s BMI through children’s weekday screen time were 0.016 from the fathers’ weekday screen time and 0.024 from the mothers’ weekday screen time (GFI = .980, AGFI = .953, RMSEA = .030, AIC = 93.030). CONCLUSIONS: Both fathers’ and mothers’ weekday screen times indirectly affected children’s BMI through children’s weekday screen time among Japanese elementary school children. The strongest indirect effects could be seen by examining the paths of a mother’s weekday screen time through children’s screen time to BMI. Mothers who spend much time with their children are role models, and their behavior could affect the child’s behavior. The findings imply that intervention strategies to reduce screen time in children should also focus on modeling the mothers’ behavior. BioMed Central 2022-11-28 /pmc/articles/PMC9703793/ /pubmed/36437475 http://dx.doi.org/10.1186/s12889-022-14664-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ishii, Kaori
Shibata, Ai
Koohsari, Mohammad Javad
Oka, Koichiro
The relationships between parents’ and children’s screen times on body mass index: a cross-sectional path analysis
title The relationships between parents’ and children’s screen times on body mass index: a cross-sectional path analysis
title_full The relationships between parents’ and children’s screen times on body mass index: a cross-sectional path analysis
title_fullStr The relationships between parents’ and children’s screen times on body mass index: a cross-sectional path analysis
title_full_unstemmed The relationships between parents’ and children’s screen times on body mass index: a cross-sectional path analysis
title_short The relationships between parents’ and children’s screen times on body mass index: a cross-sectional path analysis
title_sort relationships between parents’ and children’s screen times on body mass index: a cross-sectional path analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703793/
https://www.ncbi.nlm.nih.gov/pubmed/36437475
http://dx.doi.org/10.1186/s12889-022-14664-x
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