[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Publishing Policies::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Volume 8, Issue 5 (December-January 2020) ::
IJPN 2020, 8(5): 42-54 Back to browse issues page
Modeling of the Child's Body Mass Index Based on Maternal Body Mass index, Parental Stress and the Child's Screen Time with the Mediating Role of Emotion Regulation
Mahshid Tirgar , Fatemeh Golshani * , Anita Baghdasariasn , Susan Emamipour
, Fat.Golshani @iauctb.ac.ir
Abstract:   (2736 Views)
Introduction: Body mass index is determined by many factors including genetic predisposition, energy-related behaviors, social processes, and environmental factors. The aim of this study was to model the child's body mass index based on maternal body mass index, parental stress, and child screen time with the mediating role of emotion regulation.
Methods: This study was a descriptive structural equation. The statistical population of the present study consisted of 7 to 10-year-old students in schools in 4 districts of Tehran in the 1397 academic year. Also, a sample of 460 people was selected using cluster sampling. In this study, the parenting stress questionnaire-short form (PSI-SF) tool of child and adolescent emotional regulation checklist (ERC) was used.
Results: Based on the results of path analysis Based on the results of path analysis of maternal body mass index (β = 0.128, P <0.01), parental stress (β = 0.408, P <0.01), screen time Child (β = 0.220, P <0.01), emotional regulation (β = -0.116, P <0.01) as well as excitability (β = 0.137, P <0.01) as They directly predict the child's body mass index. The results showed that maternal body mass index, parental stress, and child screen time also indirectly predict child body mass index. Indirect standard coefficients for maternal body mass index (β = 0.099, P <0.01), parental stress (β = 0.059, P <0.01) and child screen time (β = 0.043, 0.01) 0> P) is significant. Also, the results of the model showed that 72.9% of the variance of the child's body mass index, 24% of the variance of emotional regulation, and 77.2% of the variance of excitability can be explained using the variables in the model.
Conclusion: Considering that people use overeating in stressful situations as an ineffective coping strategy to deal with stressors and regulate their emotions, the identification of these factors will increase the better understanding of behaviors and underlying causes of stress. Appropriate treatment partners can be provided in the field of prevention and treatment of obesity. In addition, by controlling the screen time, parents can prevent childhood obesity by planning active activities.
 
Keywords: Body Mass Index, Emotion Regulation, Stress
Full-Text [PDF 358 kb]   (1377 Downloads)    
Type of Study: Research | Subject: Special
Received: 2020/06/10 | Accepted: 2020/09/28 | Published: 2020/11/30 | ePublished: 2020/11/30
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

tirgar M, Golshani F, Baghdasariasn A, Emamipour S. Modeling of the Child's Body Mass Index Based on Maternal Body Mass index, Parental Stress and the Child's Screen Time with the Mediating Role of Emotion Regulation. IJPN 2020; 8 (5) :42-54
URL: http://ijpn.ir/article-1-1589-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 8, Issue 5 (December-January 2020) Back to browse issues page
نشریه روان پرستاری Iranian Journal of  Psychiatric Nursing
Persian site map - English site map - Created in 0.07 seconds with 37 queries by YEKTAWEB 4660