High Screen Time Impacts Children as Much as Premature Birth, Study Shows
A major global JAMA Pediatrics study of 2.8 million children across 64 countries reveals that excessive screen time negatively impacts academic performance and emotional well-being.
A major global study published in the medical journal JAMA Pediatrics has revealed that high screen time among children can have a negative impact comparable to, or even exceeding, factors like parenting behavior and premature birth. Researchers analyzed data from over 2.8 million children across 64 countries, concluding that excessive screen exposure impairs academic achievement and emotional development.
Academic and Emotional Impacts
The comprehensive study found that higher screen exposure is linked to poor language development and lower overall school grades. While no direct link was found for specific subjects like mathematics or reading, researchers attributed this to a lack of scientific evidence in currently under-researched areas.
In terms of mental health, increased screen use was directly correlated with emotional problems, peer difficulties, internalizing behaviors such as depression and anxiety, and externalizing behaviors including aggression and ADHD symptoms.
"It is noteworthy that the magnitude of these effects is similar in strength, or even greater, than those reported for other well-established predictors of child outcomes, including socioeconomic status, parenting behavior, and premature birth," the researchers stated.
Expert Caveats and Limitations
Despite the alarming findings, some experts noted limitations in the report. Tatiana Iniguez Berrozpe, a senior lecturer in sociology at the University of Zaragoza in Spain, argued that while the report shows a link between screen time and poor mental health or academic performance, the overall effect size is relatively small.
Esther van Sluijs, professor of behavioral epidemiology at the University of Cambridge, also expressed caution. She praised the study as high quality but pointed out that it cannot distinguish between different types of screen use, such as social media scrolling versus gaming, due to a lack of granular data.
