Gender differences in social media, sleep, and cognition in U.S. teens

Social media usage has become so pervasive among adolescents that it directly affects their cognitive functioning. A popular belief is that women multitask using social media more than men, which sparked our interest in investigating whether there exists a significant gender difference in the relationships between social media usage, sleep, and attention during writing-shift tasks among American adolescents. Previous research has shown that if multitasking is sufficiently practiced, it will become so automatic that it will not require a significant use of cognitive resources. Other studies have emphasized that excessive social media usage leads to anxiety, depression, and diminished cognitive performance. Therefore, we explored the relationships among these three variables — social media usage, sleep, and attention — in American adolescent boys and girls. Our hypothesis was that increased social media usage and poor sleep quality would lead to diminished cognitive functioning and that both genders would exhibit a greater decrease in attention. For our approach, we delivered a voluntary four-part quantitative survey through an online Google form. We discovered that sleep quality was not significantly associated with intensity of social media usage and that there was no clear association between sleep quality and cognitive performance across gender. We also found that social media usage was not significantly associated with cognitive functioning, independent of gender. These findings may help teachers, parents, and policymakers focus less on screen time alone and more on broader behavioral patterns when addressing adolescent wellbeing and academic performance.

Authors

Publication Details

Journal
Journal of Emerging Investigators
Published
2025-01-01
DOI
https://doi.org/10.59720/24-313
Primary Topic
Child Development and Digital Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

Gender differences in social media, sleep, and cognition in U.S. teens

Jonathan M. Campbell, Nicole Rafacz
Journal of Emerging Investigators
Child Development and Digital Technology
article

Gender differences in social media, sleep, and cognition in U.S. teens

Jonathan M. Campbell, Nicole Rafacz
article en

Abstract

Social media usage has become so pervasive among adolescents that it directly affects their cognitive functioning. A popular belief is that women multitask using social media more than men, which sparked our interest in investigating whether there exists a significant gender difference in the relationships between social media usage, sleep, and attention during writing-shift tasks among American adolescents. Previous research has shown that if multitasking is sufficiently practiced, it will become so automatic that it will not require a significant use of cognitive resources. Other studies have emphasized that excessive social media usage leads to anxiety, depression, and diminished cognitive performance. Therefore, we explored the relationships among these three variables — social media usage, sleep, and attention — in American adolescent boys and girls. Our hypothesis was that increased social media usage and poor sleep quality would lead to diminished cognitive functioning and that both genders would exhibit a greater decrease in attention. For our approach, we delivered a voluntary four-part quantitative survey through an online Google form. We discovered that sleep quality was not significantly associated with intensity of social media usage and that there was no clear association between sleep quality and cognitive performance across gender. We also found that social media usage was not significantly associated with cognitive functioning, independent of gender. These findings may help teachers, parents, and policymakers focus less on screen time alone and more on broader behavioral patterns when addressing adolescent wellbeing and academic performance.

Journal of Emerging Investigators
Openalex Percentile: Top 72%
Child Development and Digital Technology
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