Technology Not a Strong Factor in Adolescent Well-being, New Study Claims

A new study suggests digital media use among adolescents has a smaller negative effect on well-being than bullying or smoking marijuana.


A new study led by Amy Orber examines the relationship between screen time and well-being for adolescents. Published in Nature, the rigorous examination uses Specification Curve Analysis (SCA) to account for common methodological problems in past research. The results of this study, the largest of its kind, suggest that screen time has a significant adverse but small effect on adolescent well-being.

“The evidence simultaneously suggests that the effects of technology might be statistically significant but so minimal that they hold little practical value,” Amy Orber and Andrew Przybylski, researchers from the University of Oxford, write. “The nuanced picture provided by these results is in line with previous psychological and epidemiological research suggesting that the association between digital screen time and child outcomes are not as simple as many might think.”

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The amount of time children and teenagers spend on digital technology has doubled in the last decade, leading to mounting questions about the effects of such behaviors. With no previous generations to compare with which to compare the impact of this current phenomenon, researchers have wrestled with understanding the effects screen time may have on young people.

The current literature on the topic suggests harmful effects. Screen time has been linked to increased ADHD symptomology, depression, and in extreme cases, suicide. However, other studies have contested these findings, suggesting moderate screen time may have little to no effect on well-being overall.

“Given the substantial disagreements within the literature, the extent to which children’s screen-time may actually be impacting their psychological well-being remains unclear,” Orber and Przybylski write.

There are a few reasons variations in research may exist on this topic. The authors point to researcher degrees of freedom from multidisciplinary datasets, large social datasets featuring a high number of observations, and cross-sectional designs that make it difficult to draw conclusions about causation, as potential reasons.

“Large-scale datasets are simultaneously attractive and problematic for researchers, peer reviewers, and the public. They are a resource for testing behavioral theories at scale but are, at the same time, inherently susceptive to false positives and significant but minute effects using the alpha-levels traditionally employed in behavioral science.”

To carry out the most extensive study ever done on screen time and well-being for adolescents, the researchers designed the current study using Specification Curve Analysis (SCA). SCA is a process that allows the researchers to explore every possible analytical pathway possible from data. Rather than just reporting a handful of analyses, all possible analyses are reported. The rigorous process is posed as a possible solution to the problems that arise with data analysis.

After using the SCA method to compare specifications from three large datasets (n= 355,358), the researchers found that digital technology use (including smartphones, internet, and TV) had a significant, but small, negative association with adolescent’s well-being. To best understand this figure, the researchers put it in context:

“In all three datasets, the effects of both smoking marijuana and bullying have much larger negative associations with adolescent well-being than does technology use. Positive antecedents of well-being are equally illustrative; simple actions such as getting enough sleep and regularly eating breakfast have much more positive associations with well-being than the average impact of technology use.”

“Neutral factors provide perhaps the most useful context in which to judge technology engagement effects: the association of well-being with regularly eating potatoes was nearly as negative as the association with technology use, and wearing glasses was more negatively associated with well-being.”

This study provides a substantial contribution to the conversation of adolescents’ use of technology. While many questions remain unanswered, this study suggests numerous other factors likely play stronger roles in well-being than the use of technology.

Although the current study used innovative methods and drew from a large sample, there are still limitations. The authors caution:

“We know very little about whether increased technology use might cause lower well-being, whether lower well-being might result in increased technology use or whether a third confounding factor underlies both. Because we are examining something inherently complex, the likelihood of unaccounted factors affecting both technology use and well-being is high.”



Orben, A., & Przybylski, A. K. (2019). The association between adolescent well-being and digital technology use. Nature Human Behaviour, 1. (Link)

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Jessica Janze
MIA Research News Team: Jessica Janze is a doctoral student in the Counseling and School Psychology program at the University of Massachusetts Boston. She has a master’s degree in counseling psychology and has worked primarily with children impacted by psychological trauma. Jessica’s research interests include the impact of mindfulness in early education, emotional regulation, and the role contemplative practices play in mental health.


  1. Screen time, like all the other factors mentioned in the article, clearly plays a role in human development and well-being. I do agree anecdotally that bullying and early drug use are very detrimental to children and teenagers. It seems that everything in our environment plays a role in our health and development. I’d suggest that if a kid is on the computer, smart phone, or TV most of the day, then they will likely develop some problems from it, such as social anxiety, low self-esteem, etc. Much of this depend on how the caregivers respond to the child; I know of many parents who use this technology as a de factor babysitter. From an attachment perspective, children are more likely to develop anxious and avoidant styles of bonding later in life if they don’t get regular, consistent, and predictable responses from their caregivers/parents. This is probably one of the top factors in healthy development. Screen time may just play a role in all of this but likely isn’t the most significant factor.

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  2. Screen time means different things. Blind people and people with other disabilities use so-called “screen time” to access assistive technology. Many kinds of assistive technology help folks who are disabled work their jobs and do other necessary things to sustain themselves.

    When I had cataracts I could not read a print book. The entire time I continued to read and write by using a screen. I enlarged the print and used color reversal. If I really believed “screen time” was harmful, I would have stopped reading and writing.

    Right now, in my work, I spend all day in front a “screen.” I have had no harmful effects. Why? I do not watch TV, I do not play video games, and I do not participate in fake socializing such as Facebook.

    I do believe that violent video games, television, and fake socializing are all very harmful to children and to just about anyone. Television is extremely violent, even the commercials involve violence. TV is noise pollution which harms our well-being. TV also involves a flickering screen (you won’t notice this unless you stop watching it for a while). The flickering light that constantly bombards people likely induces seizures and behavior problems.

    I do not have kids. If I did, I would raise them without a TV in the home. I would certainly not ban “screen time.” I would encourage my kid to learn to use various computer applications, to learn to type, and to learn to read the news with skepticism. I would teach my kid to question what they are told instead of blindly accepting it. I would also encourage time spent outdoors and encourage enjoyment of physical exercise.

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