Excessive Screen Time and Psychosocial Well-Being: The Mediating Role of Body Mass Index, Sleep Duration, and Parent-Child Interaction

2018 ◽  
Vol 202 ◽  
pp. 157-162.e1 ◽  
Author(s):  
Jin Zhao ◽  
Yunting Zhang ◽  
Fan Jiang ◽  
Patrick Ip ◽  
Frederick Ka Wing Ho ◽  
...  
Children ◽  
2020 ◽  
Vol 7 (11) ◽  
pp. 200
Author(s):  
Jing-Yi Chen ◽  
Esben Strodl ◽  
Li-Hua Huang ◽  
Ying-Jie Chen ◽  
Gui-You Yang ◽  
...  

Research into early screen exposure has raised growing concerns about its impact upon children’s neuropsychological well-being. However, possible pathways remain unclear. This study therefore aimed not only to evaluate the association between screen exposure during the ages of 0–3 years and preschoolers’ autistic-like behaviors, but also the mediating roles of the frequency of caregiver-child interaction, sleep duration and level of participation in outdoor activities. Based on the 2017 survey of the Longhua Child Cohort Study, data of 29,595 child-caregiver dyads were obtained via a caregiver-reported questionnaire, with the data from 29,461 dyads included in the data analysis. Multiple linear and logistic regression models were employed to estimate the associations between screen exposure, caregiver-child interaction, sleep duration, outdoor activities, and children’s autistic-like behaviors. The results indicated that screen exposure during 0–3 years of age was associated with the presence of autistic-like behaviors at preschool age, and the strength of the association was enhanced with the increase of average daily screen time (Odds Ratios (ORs) ranging from 1.358 to 4.026). The frequency of caregiver-child interaction and sleep duration mediated 5.32% and 1.19% of the variance of the association respectively, but outdoor activities did not mediate the association. Our findings indicate that preschoolers who are exposed to screens at aged 0–3 years might have an increased risk of autistic-like behaviors, and that, the frequency of caregiver-child interaction and sleep duration might function as potential mediators of this association.


Appetite ◽  
2016 ◽  
Vol 107 ◽  
pp. 437-444 ◽  
Author(s):  
Jameason D. Cameron ◽  
Danijela Maras ◽  
Ronald J. Sigal ◽  
Glen P. Kenny ◽  
Michael M. Borghese ◽  
...  

2019 ◽  
Vol 18 (2) ◽  
pp. 245
Author(s):  
Kartika Sari Dewi ◽  
Adriana Soekandar Ginanjar

This study examined the role of interactional factors on family well-being, such as mother-child interaction, father involvement in parenting and perceived social support in the family. Respondents (N = 219) aged 17-35 years, completed an online survey assessment and answered open questions about family well-being. The results of the study show that the quality of parent-child interaction in the family is considered to play an important role in achieving family well-being, in addition to the perceived social support in the family. Family well-being is the results of the dynamics of interaction within the family which consists of cooperation, acceptance, trust, ritual, family vision and mission, also mutual love. Statistical calculations and theoretical discussions in the perspective of the Family System Theory (FST) are presented in full articles. The results of this study can be an early stage in exploring the parent-child interaction process and the extent of the role of media technology in family well-being in Indonesia.


Author(s):  
Ana P. Sehn ◽  
Anelise R. Gaya ◽  
Caroline Brand ◽  
Arieli F. Dias ◽  
Roya Kelishadi ◽  
...  

AbstractObjectivesThe combination of sleep duration, television (TV) time and body mass index (BMI) may be related to the alteration of cardiometabolic risk. However, there are few studies that use these variables grouped, and showing the moderating role of age. This study aimed to verify if the combination of sleep duration, TV time and BMI is associated with cardiometabolic risk and the moderating role of age in this relationship in youth.MethodsCross-sectional study conducted with 1411 adolescents (611 male), aged 10–17 years. Sleep duration, TV time and BMI were assessed and grouped into eight categories. Cardiometabolic risk was assessed by a continuous metabolic risk score, including the following variables: low HDL-cholesterol, elevated triglycerides, dysglycemia, high systolic blood pressure, high waist circumference and low cardiorespiratory fitness. Generalized linear models were used to test moderation of age in the relationship between the eight categories of sleep duration/television time/BMI with cardiometabolic risk.ResultsCardiometabolic risk factor showed association with all overweight or obesity independent of sleep time and TV time. Age moderated the relationship between sleep duration/television time/BMI with cardiometabolic risk. This association was stronger in younger adolescents (11 and 13 years), indicating that individuals with inadequate sleep, prolonged TV time and overweight/obesity present higher cardiometabolic risk values when compared to 15-year-old adolescents.ConclusionOverweight/obesity, independently of sleep duration and TV time, is the main risk factor for cardiometabolic disorders in adolescence. When moderated by age, younger adolescents that presented the combination of risk factors had higher cardiometabolic risk.


Author(s):  
Hossein Sourtiji ◽  
Mehdi Rassafiani ◽  
Seyed Ali Hosseini ◽  
Mohammad Esmaeil Motlagh ◽  
Mehdi Noroozi

Today, due to recent developments in technology, children devote plenty of time for screen viewing. However, its harmful effects are not yet clear. The purpose of present study was to examine the associations among screen viewing and sleep duration, and body mass index (BMI) in under-five years old children. This cross-sectional study was conducted with 322 under-five healthy children that were selected using multistage stratified cluster sampling method in 2017. The data that were gathered by time-use diary method were analyzed using Kolmogorov-Smirnov test, Spearman correlation tests, multiple linear regression analysis, one-way ANCOVA, two-way ANCOVA. There was a negative correlation between screen time and sleep duration (rs = -0.42, p = 0.00), positive correlation between screen time and BMI (rs = 0.38, p = 0.00) and sleep duration negatively correlated with BMI (rs = -0.22, p = 0.00). screen viewing was a predictive factor for both sleep duration (β = -0.26, p = 0.00) and BMI (β = -0.26, p = 0.00). screen viewing had a significant impact on sleep duration (4, 314) = 5.02, P = 0.001) and BMI (F (4, 314) = 1.16, P=0.298). Results of this study indicated that screen viewing is related to sleep duration and BMI in under-five children. furthermore, screen time has an impact on sleep duration and BMI scores of children. findings of our study suggest that sleep duration negatively is associated with BMI in under-five-year-old children.


2017 ◽  
Vol 12 (2) ◽  
pp. 150-156
Author(s):  
Khalid A. Alahmari ◽  
Paul S. Silvian ◽  
Ravi S. Reddy ◽  
Irshad Ahmad ◽  
Venkata N. Kakaraparthi ◽  
...  

Author(s):  
Tanja Poulain ◽  
Juliane Ludwig ◽  
Andreas Hiemisch ◽  
Anja Hilbert ◽  
Wieland Kiess

The present study investigated the associations of media use of children, media use of mothers, and parent-child interactions with behavioral strengths and difficulties in children. Screen time of 553 2- to 9-year-old children and their mothers were indicated by the daily durations of their TV/games console/computer/mobile phone use. The amount of parent–child interaction was indicated by the frequencies of shared activities at home. Behavioral strengths and difficulties of children were investigated using the Strengths and Difficulties Questionnaire. Children whose mothers reported high screen times (>/= 5 h/day) were significantly more likely to show high screen times (>/= 2 h/day). High screen time of children was associated with more conduct problems, more symptoms of hyperactivity/inattention and less prosocial behavior. High screen time of mothers was associated with emotional problems, conduct problems, and symptoms of hyperactivity/inattention. In contrast, a higher frequency of parent–child interactions was associated with fewer conduct problems, fewer peer-relationship problems, and more prosocial behavior of children. Children might use the media behavior of their mothers as a role model for their own media use. Furthermore, the findings suggest that media use of children and mothers and parent–child interaction contribute independently to behavioral strengths and difficulties of children.


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