ArticleJournal of adolescence2020
Social media use predicts later sleep timing and greater sleep variability: An ecological momentary assessment study of youth at high and low familial risk for depression.
Article in Journal of adolescence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Readdressing the Ongoing Challenge of Missing Data in Youth Ecological Momentary Assessment Studies: Meta-Analysis Update.Journal of medical Internet research · 2025Pooled it
- Efficacy of neurofeedback-assisted mindfulness for anxiety and nomophobia in Spanish young adults: a randomized controlled trial.Frontiers in public health · 2025Trial
- Adolescents' daily affect predicts their mobile phone use (not the other way around).Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2026Article
- Heterogeneous Associations Between Objectively Measured Screen Time and Sleep in Early Adolescence.Technology, mind, and behavior · 2026Article
- Characterizing Adolescent Social Media Experiences and Links to Momentary Affect.Journal of adolescence · 2025Article
- Improving the Science of Adolescent Social Media and Mental Health: Challenges and Opportunities of Smartphone-Based Mobile Sensing and Digital Phenotyping.Journal of technology in behavioral science · 2025Article
- Bidirectional Associations of Adolescents' Momentary Social Media Use and Negative Emotions.Affective science · 2024Article
- Positive and negative social media experiences and proximal risk for suicidal ideation in adolescents.Journal of child psychology and psychiatry, and allied disciplines · 2024Article
- Momentary Associations Between Emotional Responses to Social Media and Affect: Consistency Across Global Affect and Specific Emotional States.Affective science · 2024Article
- Daily links between objective smartphone use and sleep among adolescents.Journal of adolescence · 2024Article
- How do adolescents experience a newly developed Online Single Session Sleep Intervention? A Think-Aloud Study.Clinical child psychology and psychiatry · 2024Article
- Examining the influence of problematic internet use on sleep quality in Chinese adolescents: a study using the extended Stressor-Strain-Outcome (SSO) model.Frontiers in psychology · 2024Article
- Daily Associations Between Sleep and Affect in Youth at Risk for Psychopathology: The Moderating Role of Externalizing Symptoms.Research on child and adolescent psychopathology · 2024Article
- Late-Night Digital Media Use in Relation to Chronotype, Sleep and Tiredness on School Days in Adolescence.Journal of youth and adolescence · 2023Article
- Association between WeChat Use and Memory Performance among Older Adults in China: The Mediating Role of Depression.Behavioral sciences (Basel, Switzerland) · 2022Article
- Associations Between Adolescents' Daily Digital Technology Use and Sleep.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2022Article
- Social media use, sleep, and psychopathology in psychiatrically hospitalized adolescents.Journal of psychiatric research · 2021Article
- Emotion context insensitivity in depression: Toward an integrated and contextualized approach.Psychophysiology · 2021Review
- Prospective associations between pre-sleep electronics use and same-night sleep in healthy school-aged children.Children's health care : journal of the Association for the Care of Children's Health · 2021Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
introductionSocial media (SM) use has been increasingly recognized as a potential contributor to poor sleep. Few studies have examined SM use and sleep using ecological momentary assessment (EMA), compared different types of media use (SM, television, gaming), or examined whether youth at high and low familial risk for depression are differentially affected by SM use.
methodsThe current study included 76 youth (46% female; Mean age = 11.28 years) who were recruited based on parental history of recurrent depression (N = 35 high risk; N = 41 low risk) in the United States. Youth completed a 9-day EMA protocol, which included current activity at time of prompt and daily sleep onset and offset times. Regression and multilevel models were conducted to examine the effects of media use on sleep.
resultsResults indicated that youth who used more SM (mean and number of days) went to sleep later, but did not have shorter sleep duration. Youth with more SM use also had higher levels of variability of both sleep timing and sleep duration across the 9-day period. There were no effects of gaming or TV on sleep, and youth at high risk for depression did not have differences in SM use or its effects on sleep compared to low-risk youth.
conclusionsThese findings indicate a unique impact of SM use on sleep timing and variability for youth (regardless of risk status), which may suggest a unique and modifiable pathway through which SM use contributes to poor health.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.