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. Author manuscript; available in PMC: 2026 Jun 12.
Published in final edited form as: Acad Pediatr. 2025 Sep 23;26(1):103149. doi: 10.1016/j.acap.2025.103149

Cyberbullying and Sleep Disturbances in Adolescents: An Updated Evidence Review

Jason M Nagata 1, Elizabeth J Li 1, Oliver H Huang 1, Colbey Ricklefs 1, Kyle T Ganson 1, Alexander Testa 1, Aaron Scheffler 1, Leo Sugrue 1, Fiona C Baker 1
PMCID: PMC13255259  NIHMSID: NIHMS2183360  PMID: 40998045

Digital media has become a central part of early adolescent life,1 bringing both benefits and risks. One such risk is cyberbullying, defined as aggressive or harmful behavior conducted through digital platforms intended to harass, threaten, or humiliate a victim. Cyberbullying in adolescents is associated with a lower likelihood of adequate sleep.2 Our original August 2023 publication entitled “Cyberbullying and Sleep Disturbance Among Early Adolescents in the U.S.” proposed bedtime screen use as a moderator between cyberbullying and sleep disturbances.3 In this progress report, we review recent findings on cyberbullying and sleep in early adolescence, with a focus on how disparities shape these experiences, and discuss their implications for adolescent health, family-based interventions, and equity-informed clinical practice.

Disparities in Cyberbullying Exposure

Among 11 to 12-year-olds in the Adolescent Brain Cognitive Development (ABCD) Study, 9.6% report having experienced cyberbullying victimization.1 Sexual and gender minority adolescents experience higher rates of cyberbullying, with one study finding that transgender and gender-questioning early adolescents have more than twice the odds of cyberbullying victimization compared to their cisgender peers.4 Cyberbullying is associated with elevated risks of depression, anxiety, disordered eating, substance use, and suicidality.1 In addition to sexual/gender minority identity, adolescents who are racial/ethnic minorities or come from lower socioeconomic backgrounds are more likely to experience cybervictimization and online discrimination.5 Parental media behaviors, such as high screen use and lack of monitoring, are linked to problematic media use and higher cyberbullying exposure in their children.6

Mechanisms for Disparities in Sleep Outcomes

There are strong correlations between sleep outcomes, race, and socioeconomic status.7 These include disparities in sleep quality and duration by socioeconomic status and disparities in quality and duration by race and ethnicity.7 Around 63% of early adolescents have an internet-connected device or TV in their bedroom, and behaviors such as social media use and keeping phone ringers on during the night are associated with lower sleep duration and higher sleep disturbances.8 Higher bedtime phone use is evident among sexual/gender minorities, racial/ethnic minorities, and low-income adolescents.7,9 Mechanisms contributing to poor sleep include blue light exposure, cognitive and emotional arousal from peer interactions, disruptions from notifications, and decreased association between the bedroom and sleep as a result of device presence in the sleep environment.1,9 Additional mechanisms involving phone use may explain cyberbullying and poor sleep outcomes.

Linking Cyberbullying and Sleep

There is a suggested bidirectional and mutually reinforcing relationship between cyberbullying and sleep disturbance: cyberbullying can disrupt sleep, while poor sleep may increase vulnerability to peer conflict and emotional dysregulation.1,9 Adolescents exposed to cyberbullying may experience nighttime rumination, low self-esteem, shame, guilt, stress, and anxiety, all of which contribute to sleep disruption.3 These adolescents may also increase their screen use at night, further delaying or fragmenting sleep.2,3

Problematic social media use is central to both cyberbullying exposure and sleep disruption.1,9 Vulnerable populations, such as sexual/gender minority and racial/ethnic minority adolescents, may engage in more nighttime screen use seeking affirming or identity-specific spaces online.1,9 However, this also increases their risk of problematic screen use, cyberbullying victimization, and poor sleep outcomes.1,9

Mental Health Implications

Problematic social media use, cyberbullying, and sleep problems are all linked to increased rates of mental and physical health conditions, including depression, anxiety, attention deficit hyperactivity disorder, obsessive-compulsive disorder, disordered eating, cardiometabolic risk, and substance use.1 These burdens are not equally distributed—adolescents with multiple marginalized identities face layered risks and compounding vulnerabilities.1,9

Opportunities for Action and Intervention

Family-based strategies are promising for reducing risk across all domains. Interventions such as creating screen-free bedrooms, enforcing device curfews, and enhancing parental monitoring may help mitigate sleep disturbances, problematic screen use, and cyberbullying victimization.1,9 Recommendations for parents and physicians are summarized in Table.1 Interventions should be intersectional, while recognizing and addressing the interplay of identity, behavior, and structural context.5

Table.

Recommendations for Parents and Physicians to Encourage Healthy Screen Use in Early Adolescence1

Recommendations for Parents Recommendations for Physicians
Keep screens outside of the bedroom
Limit parental screen use around children and model healthy screen use behaviors
Restrict screen use during bedtime and mealtime
Turn phones completely off overnight (versus silent/vibrate or keeping notifications on)
Monitor adolescents’ screen use and set time limits
Co-create an individualized Family Media Plan
Consider screening patients for sleep disorders
Consider screening patients for signs of problematic or excessive social media use and cyberbullying
Connect patients with culturally responsive mental health support

Future Work

Our original study established a link between cyberbullying involvement and sleep disturbances in early ado- lescence.3 Since then, additional research has validated and expanded these findings, suggesting that bedtime screen-use behavior connects both experiences, highlighting the impact of demographic disparities.2,10

Addressing these challenges will require a multi-level approach, integrating family education, clinical screening, and adolescent-centered behavioral interventions.1,9 Future research can leverage tools such as brain imaging to explore neurodevelopmental mechanisms and clarify the causal links between digital media use, cyberbullying, sleep disruption, and adolescent physical and mental health. Further research can examine whether sleep disturbances contribute to cyberbullying perpetration. In addition, more research is needed to assess whether school-enforced phone bans impact nighttime usage and sleep outcomes. As adolescents in the ABCD Study develop into mid- and late-adolescence, longitudinal data will enable researchers to examine shifts in cyberbullying exposure and perpetration over time.

Future work should additionally investigate protective and exacerbating factors among vulnerable adolescents, including those with multiple marginalized identities, to develop effective and equitable intervention strategies.

What’s New.

Recent scholarship has identified sociodemographic disparities in both cyberbullying and sleep outcomes in early adolescents. Cyberbullying is linked with poorer mental health, but parental rules and monitoring may be protective of adverse health effects.

Acknowledgments

The authors thank Anthony Kung for editorial assistance.

Funding/Support

National Institutes of Health (K08HL159350).

The ABCD Study was supported by the National Institutes of Health and additional federal partners under award numbers U01DA041022, U01DA041025, U01DA041028, U01DA041048, U01DA041089, U01DA041093, U01DA041106, U01DA041117, U01DA041120, U01DA041134, U01DA041148, U01DA041156, U01DA041174, U24DA041123, and U24DA041147. A full list of supporters is available at https://abcdstudy.org/federal-partners/. A listing of participating sites and a complete listing of the study investigators can be found at https://abcdstudy.org/principal-investigators.html. ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in analysis or writing of this report.

Footnotes

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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