Prevalence and predictors of children's persistent screen time requests: A national sample of parents

The Differential Impact of Screen Time on Children’s Wellbeing

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18179143 ◽

2021 ◽

Vol 18 (17) ◽

pp. 9143

Author(s):

Sarahjane Belton ◽

Johann Issartel ◽

Stephen Behan ◽

Hannah Goss ◽

Cameron Peers

Keyword(s):

Screen Time ◽

Longitudinal Research ◽

National Sample ◽

Primary School Children ◽

Differential Impact ◽

Four Dimensions ◽

Health And Wellbeing ◽

Children’S Wellbeing ◽

And Gender ◽

The Impact

Increased screen time has been found to be associated with a number of negative health and wellbeing indicators in youth populations. An increasing number of studies have investigated the association between screen time and wellbeing in adolescents, but evidence in younger children is still emerging. This 2017 study explored the effect of leisure screen time and gender on dimensions of wellbeing (measured using KIDSCREEN-27) in a national sample of 897 Irish primary school children aged 8–12 years. Participants had a mean age of 10.9 ± 1.16 years and were 47.7% female. Just over 30% of the sample accumulated 2 h or more of leisure screen time daily. Results show that there was no significant interaction between screen time category (<2 h/2 h + daily) and gender on overall wellbeing, while controlling for BMI. Children who self-reported <2 h of leisure screen time scored significantly higher on four dimensions of wellbeing: physical, parental, peers, and school, but not psychological. This study supports the growing evidence of the impact that leisure screen time has on health. Further longitudinal research investigating the impact of sub-categories of leisure screen time behaviour on wellbeing is warranted.

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Joint Association of Screen Time and Physical Activity with Cardiometabolic Risk Factors in a National Sample of Iranian Adolescents: The CASPIANIII Study

PLoS ONE ◽

10.1371/journal.pone.0154502 ◽

2016 ◽

Vol 11 (5) ◽

pp. e0154502 ◽

Cited By ~ 13

Author(s):

Ramin Heshmat ◽

Mostafa Qorbani ◽

Amir Eslami Shahr Babaki ◽

Shirin Djalalinia ◽

Asal Ataei-Jafari ◽

...

Keyword(s):

Physical Activity ◽

Risk Factors ◽

Screen Time ◽

Cardiometabolic Risk ◽

National Sample ◽

Cardiometabolic Risk Factors

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COVID-19 Pandemic and the Burden of Internet Addiction in the United States

Psychiatry International ◽

10.3390/psychiatryint2040031 ◽

2021 ◽

Vol 2 (4) ◽

pp. 402-409

Author(s):

Jagdish Khubchandani ◽

Sushil Sharma ◽

James H. Price

Keyword(s):

Internet Addiction ◽

Screen Time ◽

The United States ◽

National Sample ◽

Population Based ◽

Bachelor's Degree ◽

Sociodemographic Characteristics ◽

Full Time ◽

Regression Analyses ◽

Promotion Strategies

Despite the extensive usage of the internet, little is known about internet addiction among Americans during the pandemic. A valid and reliable questionnaire was deployed online via MTurk to recruit a national sample of adult Americans to understand the nature and extent of internet addiction. A total of 1305 individuals participated in the study where the majority were males (64%), whites (78%), non-Hispanic (70%), married (72%), 18–35 years old (57%), employed full time (86%), and with a Bachelor’s degree or higher (83%). The prevalence of internet addiction was distributed as no addiction (45%), probable addiction or risk of addiction (41%), and definite or severe addiction (14%). More than a fourth of the population had depression (28%) or anxiety (25%). Despite adjusting for sociodemographic characteristics, definite/severe internet addiction was strongly predictive of depression, anxiety, and psychological distress in multiple regression analyses. Those who were probably addicted or at risk of addiction were also more likely to have depression or anxiety. Compared to estimates before the pandemic, this study suggests an increase in internet addiction among U.S. adults during the COVID-19 pandemic. Population-based interventions and mental health promotion strategies should focus on a reduction in internet consumption and screen time.

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