Understanding Links Between Social Media Use, Sleep and Mental Health: Recent Progress and Current Challenges
Open accessAbstract
Sleep and mental health researchers are increasingly recognising the need to update our approaches to understanding the unique social, emotional and cognitive aspects of social media use, rather than simply considering it as just another hour of total daily “screen time”. In this review, we highlight some recent developments in this area, discuss ongoing challenges facing this field and offer recommendations for future steps. The sleep and mental health research literatures have made recent advances towards a more nuanced understanding of social media use: moving beyond a focus on simply duration of use, towards new insights into the role of content, context and experience of these online interactions. As this research area moves forward, a focus on high-quality measurement—combined with collaborative multidisciplinary approaches that triangulate insight from different methodologies and perspectives—can inform a more holistic understanding of sleep and mental health in today’s connected world.
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Written from the paper’s full text.
TL;DR
This review argues that sleep and mental health research must move beyond treating social media as generic “screen time” and instead examine content, context, and experience. It highlights recent progress in both literatures, identifies ongoing challenges around causality, measurement, and rapidly evolving platforms, and recommends high-quality measurement plus multidisciplinary triangulation.
Key findings
- Sleep research has linked higher overall social media use to poorer sleep outcomes, including shorter sleep duration, later bedtimes, and poorer sleep quality; bedtime use is a strong predictor of poorer sleep outcomes independent of overall use. Proposed mechanisms include sleep displacement, cognitive arousal, and fear of missing out operating via behavioural and cognitive pathways.
- Mental health findings for frequency/duration of social media use are mixed: some studies link more time to depressive or anxious symptoms, some find no significant associations, and some find positive outcomes such as reduced loneliness. A large-scale analysis indicated digital screen time accounts for very little variance in adolescent well-being.
- Outcomes depend on platform, purpose, and interaction quality: image-based platforms like Instagram and Snapchat (but not text-based Twitter) were associated with decreased loneliness, especially when used to interact with known people; broadcasting content or interacting with strangers was linked to increased loneliness or negative social comparison. Cyberbullying is associated with poorer well-being, but effect sizes for poor mental health are similar to offline physical and relational bullying.
- The authors recommend moving toward high-quality measures of motivations and experiences, triangulating multiple methodologies and disciplines, and using preprints to accelerate communication in a fast-moving field.
Methods
- Narrative review of recent developments in sleep and mental health research on social media use, focusing on progress in the last 5 years, ongoing challenges, and recommendations for future steps.
- No primary data collection or systematic review protocol is reported; the paper synthesizes existing literature and discusses measurement, causality, and evolving social media platforms.
- The authors draw on examples from sleep and mental health studies, including cross-sectional, experimental, longitudinal, qualitative, and large-cohort work, to argue for more nuanced conceptualization and measurement.
Limitations
- The authors state that available research primarily uses cross-sectional self-report data, so causality remains unresolved and relationships are likely bidirectional.
- The authors state that the rapidly evolving social media landscape outpaces research, making measures quickly outdated and limiting generalizability across platforms, features, and norms.
- The authors state that much research focuses on adolescents and young people, leaving other age groups understudied, and that measurement is often limited by single-item non-validated measures or platform-specific/pathologizing tools.
- Evident from the text: as a narrative review, it does not report a systematic search strategy, inclusion criteria, or formal quality appraisal of included studies.
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Integrity signals
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Cites
Statistics
Claims the paper makes
0 of 110 cited sources checked · 0 supported · 0 flagged
- Findingnone given
The sleep and mental health research literatures have recently advanced towards a more nuanced understanding of social media use, moving beyond duration of use towards the role of content, context and experience of online interactions.
“The sleep and mental health research literatures have made recent advances towards a more nuanced understanding of social media use: moving beyond a focus on simply duration of use, towards new insights into the role of content, context and experience of these online interactions.”
Quote in the paperSubstantial claim - Premisecitation
The sleep literature tends to examine social media use as a technology-based activity, often measuring the frequency, duration and timing of use.
“This approach tends to examine social media use as a technology-based activity, often measuring the frequency, duration and timing of use [25].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Jenkins-Guarnieri MA, Wright SL, Johnson B. Development and validation of a social media use integration scale. Psychol Pop Media Cult. 2013;2(1):38–50. https://doi.org/10.1037/a0030277 . source
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- Interpretationreasoning
The cognitive arousal mechanism is particularly salient for social media, which offers opportunities for rich social interactions in real time.
“Whilst all proposed pathways are relevant for various screen-based technologies (including more passive media consumption), this cognitive arousal mechanism is particularly salient for social media, which offers opportunities for rich social interactions in real time.”
Quote in the paperNot a substantial claim - Premisenone given
More of the mental health literature has taken a social interaction perspective, compared with a technology perspective, to understanding social media use.
“Interestingly, more of the mental health literature has taken a social interaction perspective-compared with a technology perspective-to understanding social media use.”
Quote in the paperSubstantial claim - Premisecitation
The overall evidence on mental health associations is more mixed, supporting both positive and negative outcomes depending on how social media use is operationalised.
“This may explain why the overall evidence on mental health associations is more mixed, supporting both positive and negative outcomes depending on how social media use is operationalised [13••].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13••]
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- Premisecitation
Screen light may delay circadian rhythms and sleep.
“plus screen light potentially delaying circadian rhythms and sleep [31]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] Chang A-M, Aeschbach D, Duffy JF, Czeisler CA. Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness. Proc Natl Acad Sci. 2015;112(4):1232–7. https://doi.org/10.1073/pnas.1418490112 . source
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- Premisecitation
As of 2013, the DSM-5 classification of sleep-wake disorders has moved towards recognising the bidirectional and interactive effects between sleep disorders and coexisting medical and psychiatric illnesses.
“As of 2013, the DSM-5 (Diagnostic and Statistical Manual of Disorders, Fifth Edition) classification of sleep-wake disorders has moved towards recognising the "bidirectional and interactive effects between sleep disorders and coexisting medical and psychiatric illnesses" [20,21].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [20] Reynolds CF 3rd, O’Hara R. DSM-5 sleep-wake disorders classification: overview for use in clinical practice. Am J Psychiatry. 2013;170(10):1099–101. https://doi.org/10.1176/appi.ajp.2013.13010058 source
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- cites [21] American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed. Washington D.C.: 2013. source
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- Premisecitation
Insomnia is now classified as comorbid with, rather than secondary to, a mental health diagnosis.
“For example, insomnia is now classified as comorbid with-rather than secondary to-a mental health diagnosis.”
Quote in the paperNot a substantial claim - Premisenone given
In the sleep literature, current understanding of social media use has been strongly informed by previous research on traditional media and technology use generally.
“In the sleep literature, current understanding of social media use has been strongly informed by previous research on traditional media and technology use generally.”
Quote in the paperNot a substantial claim - Premisecitation
Studies that measure how often and how much individuals use social media have reported a mix of significant and non-significant associations with mental health problems.
“Studies that measure how often and how much individuals use social media have reported a mix of significant and non-significant associations with mental health problems [13••, 33]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13••, 33]
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- Premisecitation
Social media use at bedtime is a strong predictor of poorer sleep outcomes, independent of overall use.
“The timing of use is highly relevant for sleep, as social media use at bedtime is a strong predictor of poorer sleep outcomes, independent of overall use [14,16,17,41,42].”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [14] Levenson JC, Shensa A, Sidani JE, Colditz JB, Primack BA. Social media use before bed and sleep disturbance among young adults in the United States: a nationally representative study. Sleep. 2017;40(9):zsx113–zsx. https://doi.org/10.1093/sleep/zsx113 . source
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- cites [16] Exelmans L, Scott H. Social Media Use and Sleep Quality among Adults: The Role of Gender, Age and Social Media Checking Habit. Preprint: 17 April 2019. https://doi.org/10.31234/osf.io/eqxdh source
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- cites [17] Woods HC, Scott H. #Sleepyteens: social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. J Adolesc. 2016;51:41–9. https://doi.org/10.1016/j.adolescence.2016.05.008 . source
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- cites [41] Orzech KM, Grandner MA, Roane BM, Carskadon MA. Digital media use in the 2 h before bedtime is associated with sleep variables in university students. Comput Hum Behav. 2016;55:43–50. source
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- cites [42] Harbard E, Allen NB, Trinder J, Bei B. What’s keeping teenagers up? Prebedtime behaviors and actigraphy-assessed sleep over school and vacation. J Adolesc Health. 2016;58(4):426–32. https://doi.org/10.1016/j.jadohealth.2015.12.011 . source
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- Interpretationreasoning
Examining only frequency and duration of use is not sufficient to understand the complex links between individuals' social media practices and mental health.
“This reinforces the argument that examining only frequency and duration of use is not sufficient to understand the complex links between individuals' social media practices and mental health.”
Quote in the paperSubstantial claim - Premisecitation
More studies in the sleep literature over the last 5 years have examined not only the time participants spend using social media, but also their experiences of and motivations for these interactions.
“This has been one area of development in the sleep literature over the last 5 years, with more studies examining not only the time that participants spend using social media, but also their experiences of-and motivations for-these interactions [8,12,17,38].”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [8] Scott H, Biello SM, Woods HC. Identifying drivers for bedtime social media use despite sleep costs: the adolescent perspective. Preprint: 12 Oct 2018. Retrieved from: https://doi.org/10.31234/osf.io/2xb36 . source
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- cites [12] Scott H, Woods HC. Fear of missing out and sleep: cognitive behavioural factors in adolescents’ nighttime social media use. J Adolesc. 2018;68:61–5. https://doi.org/10.1016/j.adolescence.2018.07.009 . source
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- cites [17] Woods HC, Scott H. #Sleepyteens: social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. J Adolesc. 2016;51:41–9. https://doi.org/10.1016/j.adolescence.2016.05.008 . source
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- cites [38] McNee S, Woods HC. Pre-sleep Cognitive Influence of Night-time Social Media Use and Social Comparison Behaviour in Young Women. Preprint: 12 February 2019. Retrieved from: https://doi.org/10.31234/osf.io/n9txa . source
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- Premisecitation
Individuals who spend the same time using social media each day can differ in the level of emotional connection that they feel towards this activity.
“For example, individuals who spend the same time using social media each day (or night) can differ in the level of emotional connection that they feel towards this activity [25].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [25] Jenkins-Guarnieri MA, Wright SL, Johnson B. Development and validation of a social media use integration scale. Psychol Pop Media Cult. 2013;2(1):38–50. https://doi.org/10.1037/a0030277 . source
Not checked in the free run.
- Premisecitation
Higher overall social media use is linked to poorer sleep outcomes, including shorter sleep duration, later bedtimes and poorer sleep quality.
“These findings have supported links between higher overall social media use and poorer sleep outcomes, including shorter sleep duration, later bedtimes and poorer sleep quality [17,26].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [17] Woods HC, Scott H. #Sleepyteens: social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. J Adolesc. 2016;51:41–9. https://doi.org/10.1016/j.adolescence.2016.05.008 . source
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- cites [26] Levenson JC, Shensa A, Sidani JE, Colditz JB, Primack BA. The association between social media use and sleep disturbance among young adults. Prev Med. 2016;85(Supplement C):36–41. https://doi.org/10.1016/j.ypmed.2016.01.001 . source
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- Premisecitation
Individuals who are concerned about possibly missing out may struggle at bedtime to stop not only using social media, but also thinking about possible social media interactions.
“Therefore, individuals who are concerned about possibly missing out may struggle at bedtime to stop not only using social media, but also thinking about possible social media interactions [8].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8] Scott H, Biello SM, Woods HC. Identifying drivers for bedtime social media use despite sleep costs: the adolescent perspective. Preprint: 12 Oct 2018. Retrieved from: https://doi.org/10.31234/osf.io/2xb36 . source
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- Premisecitation
Associated (positive or negative) mental health outcomes depend strongly on a range of protective and risk factors around how users engaged with social media.
“Instead, in their 2016 systematic review of available evidence, Seabrook and colleagues stressed that associated (positive or negative) mental health outcomes depended strongly on a range of protective and risk factors around how users engaged with social media [13••].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13••]
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- Premisecitation
A strong connection to social media platforms can stem from a more pervasive anxiety about potentially missing out.
“This reinforces the need to consider social media use within the broader context of an individual's online and offline social interactions, as a strong connection to social media platforms can stem from a more pervasive anxiety about potentially missing out [8,44].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [8] Scott H, Biello SM, Woods HC. Identifying drivers for bedtime social media use despite sleep costs: the adolescent perspective. Preprint: 12 Oct 2018. Retrieved from: https://doi.org/10.31234/osf.io/2xb36 . source
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- cites [44] Przybylski AK, Murayama K, DeHaan CR, Gladwell V. Motivational, emotional, and behavioral correlates of fear of missing out. Comput Hum Behav. 2013;29(4):1841–8. https://doi.org/10.1016/j.chb.2013.02.014 . source
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- Interpretationreasoning
Current understanding of mechanisms linking social media use to sleep has been improved by considering social, emotional and cognitive components of users' experiences alongside the behavioural component.
“Therefore, alongside the behavioural component (actual social media activity), current understanding of mechanisms linking social media use to sleep has been improved by considering social, emotional and cognitive components of users' experiences.”
Quote in the paperSubstantial claim - Premisecitation
Digital screen time accounts for very little variance in adolescent well-being.
“with a large-scale analysis indicating that this digital screen time accounts for very little variance in adolescent well-being [34]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [34] Orben A, Przybylski AK. The association between adolescent well-being and digital technology use. Nat Hum Behav. 2019;3(2):173–82. https://doi.org/10.1038/s41562-018-0506-1 . source
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- Interpretationcitation
Associations between social media use and mental health and well-being vary in their direction and strength depending on which platforms individuals use, for what purpose and with whom they interact.
“Firstly, associations between social media use and mental health and well-being vary in their direction and strength depending on the following: which platforms individuals use, for what purpose and with whom they interact.”
Quote in the paperSubstantial claim - Premisecitation
Effect sizes for poor mental health associations are similar for cyberbullying and offline physical and relational bullying.
“and effect sizes for poor mental health associations are similar for cyberbullying and offline physical and relational bullying [53,55].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [53] Wolke D, Lee K, Guy A. Cyberbullying: a storm in a teacup? Eur Child Adolesc Psychiatry. 2017;26(8):899–908. https://doi.org/10.1007/s00787-017-0954-6 . source
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- cites [55] Przybylski AK, Bowes L. Cyberbullying and adolescent well-being in England: a population-based cross-sectional study. Lancet Child Adolesc Health. 2017;1(1):19–26. https://doi.org/10.1016/S2352-4642(17)30011-1 . source
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- Premisecitation
There is still a considerable body of work being cited that considers only the duration and frequency of social media use, which has produced mixed findings for mental health outcomes.
“However, this shift is relatively recent, and there is still a considerable body of work being cited that considers only the duration and frequency of social media use, which has produced mixed findings for mental health outcomes [11••, 13••].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11••, 13••]
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- Premisecitation
Some studies have found positive associated outcomes of social media use, such as reduced loneliness.
“and others have found positive associated outcomes, such as reduced loneliness [50]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50] Pittman M, Reich B. Social media and loneliness: why an Instagram picture may be worth more than a thousand Twitter words. Comput Hum Behav. 2016;62:155–67. https://doi.org/10.1016/j.chb.2016.03.084 . source
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- Premisecitation
Very few young people experience bullying exclusively via social media platforms.
“Whilst this is an important area of research linking users' experiences of social media to mental health outcomes, it should be noted that very few young people experience bullying exclusively via social media platforms”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [53] Wolke D, Lee K, Guy A. Cyberbullying: a storm in a teacup? Eur Child Adolesc Psychiatry. 2017;26(8):899–908. https://doi.org/10.1007/s00787-017-0954-6 . source
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- cites [55] Przybylski AK, Bowes L. Cyberbullying and adolescent well-being in England: a population-based cross-sectional study. Lancet Child Adolesc Health. 2017;1(1):19–26. https://doi.org/10.1016/S2352-4642(17)30011-1 . source
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- Premisecitation
Some studies have linked more time on social media to increased depressive or anxious symptoms.
“Although some studies have linked more time on social media to increased depressive or anxious symptoms [10,47]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [10] Bhat S, Pinto-Zipp G, Upadhyay H, Polos PG. “To sleep, perchance to tweet”: in-bed electronic social media use and its associations with insomnia, daytime sleepiness, mood, and sleep duration in adults. Sleep Health. 2018;4(2):166–73. https://doi.org/10.1016/j.sleh.2017.12.004 . source
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- cites [47] Lin LY, Sidani JE, Shensa A, Radovic A, Miller E, Colditz JB, et al. Association between social media use and depression among U.S. young adults. Depress Anxiety. 2016;33(4):323–31. https://doi.org/10.1002/da.22466 . source
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- Premisecitation
Cyberbullying, interactions with known peers, can have a negative impact on a wide range of adolescent wellbeing outcomes: from lower self-esteem and mood to increased behavioural and emotional problems.
“For example, cyberbullying represents an obvious case whereby interactions with known peers can have a negative impact on a wide range of adolescent wellbeing outcomes: from lower self-esteem and mood to increased behavioural and emotional problems [53,54].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [53] Wolke D, Lee K, Guy A. Cyberbullying: a storm in a teacup? Eur Child Adolesc Psychiatry. 2017;26(8):899–908. https://doi.org/10.1007/s00787-017-0954-6 . source
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- cites [54] Kowalski RM, Giumetti GW, Schroeder AN, Lattanner MR. Bullying in the digital age: a critical review and meta-analysis of cyberbullying research among youth. Psychol Bull. 2014;140(4):1073–137. https://doi.org/10.1037/a0035618 . source
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- Premisecitation
Social media platforms can provide opportunities for positive social connection for individuals with a range of needs, including autism spectrum disorder and cerebral palsy.
“It can also accommodate new insight into individual differences, with recent evidence highlighting benefits for certain groups, whereby social media platforms can provide opportunities for positive social connection for individuals with a range of needs, including autism spectrum disorder and cerebral palsy [57,58].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [57] Kuo MH, Orsmond GI, Coster WJ, Cohn ES. Media use among adolescents with autism spectrum disorder. Autism. 2013;18(8):914–23. https://doi.org/10.1177/1362361313497832 . source
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- cites [58] Caron J, Light J. “Social media has opened a world of ‘open communication:’” experiences of adults with cerebral palsy who use augmentative and alternative communication and social media. Augment Altern Commun (Baltimore, Md : 1985). 2016;32(1):25–40. https://doi.org/10.3109/07434618.2015.1052887 . source
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- Premisecitation
The quality of online interactions distinguishes positive and negative mental health outcomes.
“Furthermore, in addition to knowing who an individual is interacting with, crucially it is the quality of these online interactions that distinguishes positive and negative mental health outcomes [11••].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11••]
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- Interpretationreasoning
Social media practices that focus on facilitating positive social connections can offer a range of benefits to well-being.
“Social media practices that do focus on facilitating positive social connections can in fact offer a range of benefits to well-being.”
Quote in the paperSubstantial claim - Premisenone given
Available research primarily uses cross-sectional self-report data.
“One common issue facing this field as a whole is the question of causality, as available research primarily uses crosssectional self-report data.”
Quote in the paperSubstantial claim - Premisecitation
A causal pathway from social media use to sleep is supported by evidence that implementing changes to bedtime media habits can improve sleep outcomes.
“A causal pathway from social media use to sleep is supported by evidence that implementing changes to bedtime media habits can improve sleep outcomes [45], highlighting the valuable contribution of experimental work.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [45] Bartel K, Scheeren R, Gradisar M. Altering adolescents’ pre-bedtime phone use to achieve better sleep health. Health Commun. 2018;34:1–7. https://doi.org/10.1080/10410236.2017.1422099 . source
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- Premisecitation
This line of research has made considerable steps towards a more nuanced understanding, which is now highlighting the crucial role of how individuals engage with social media in determining positive versus negative mental health outcomes.
“In recent years, this line of research has made considerable steps towards a more nuanced understanding, which is now highlighting the crucial role of how individuals engage with social media in determining positive versus negative mental health outcomes [11••, 13••].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11••, 13••]
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- Premisecitation
Some studies do not find significant associations between time on social media and mental health.
“some do not find significant associations [48,49]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [48] Banjanin N, Banjanin N, Dimitrijevic I, Pantic I. Relationship between internet use and depression: focus on physiological mood oscillations, social networking and online addictive behavior. Comput Hum Behav. 2015;43:308–12. https://doi.org/10.1016/j.chb.2014.11.013 . source
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- cites [49] Shaw AM, Timpano KR, Tran TB, Joormann J. Correlates of Facebook usage patterns: the relationship between passive Facebook use, social anxiety symptoms, and brooding. Comput Hum Behav. 2015;48:575–80. https://doi.org/10.1016/j.chb.2015.02.003 . source
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- Interpretationreasoning
Knowing only how much time an individual spends using social media, without further information on context and experiences, is not particularly informative for understanding its implications for any aspect of health and well-being.
“This reinforces the argument that knowing only how much time an individual spends using social media (without further information on context and experiences) is not particularly informative for understanding its implications for any aspect of health and well-being.”
Quote in the paperNot a substantial claim - Premisecitation
Social media use is increasingly prevalent across all age groups.
“as social media use is increasingly prevalent across all age groups [71]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [71] Greenwood S, Perrin A, Duggan M. Social media update. Pew Research Center; 2016. Retrieved from: https://www.pewinternet.org/2016/11/11/social-media-update-2016/ .
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- Premisecitation
Researchers across these fields have been limited by the research measures available to them.
“However, we note that researchers across these fields have nonetheless been limited by the research measures available to them [25].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [25] Jenkins-Guarnieri MA, Wright SL, Johnson B. Development and validation of a social media use integration scale. Psychol Pop Media Cult. 2013;2(1):38–50. https://doi.org/10.1037/a0030277 . source
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- Premisenone given
Technological developments outpace research, with continually evolving social media platforms, functionalities and associated norms.
“An inevitable challenge in this fast-moving field is that technological developments outpace research, with continually evolving social media platforms, functionalities and associated norms.”
Quote in the paperSubstantial claim - Interpretationreasoning
Platform- or feature-specific measures can become outmoded during the course of a longitudinal study.
“This presents a particular challenge for researchers responding to calls for longitudinal analysis in this area, since platform-or feature-specific measures can become outmoded during the course of the study.”
Quote in the paperSubstantial claim - Premisecitation
This focus is partly driven by concerns being voiced by policymakers, health professionals, educators and parents around the possible negative impact of social media on young people's health and well-being.
“This is partly driven by concerns being voiced by policymakers, health professionals, educators and parents around the possible negative impact of social media on young people's health and well-being [65,66].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [65] UK House of Commons Science and Technology Committee. Impact of social media and screen-use on young people’s health. 2019. Retrieved from: https://publications.parliament.uk/pa/cm201719/cmselect/cmsctech/822/82202.htm .
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- cites [66] Screen-based lifestyle harms children’s health. The Guardian, 25 Dec 2016. Retrieved from: https://www.theguardian.com/education/2016/dec/25/screen-based-lifestyle-harms-health-of-children . Accessed 11 July 2019.
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- Premisereasoning
Much of the research in this area has focused on adolescents and young people.
“Much of the research in this area has focused on adolescents and young people.”
Quote in the paperNot a substantial claim - Premisecitation
Adolescence brings about a 'Perfect Storm' of biological, psychosocial and societal factors that work together to produce short and ill-timed sleep for a majority of this population, where sleep need remains high.
“Adolescence has been described as bringing about a "Perfect Storm" of biological, psychosocial and societal factors that work together to produce short and ill-timed sleep for a majority of this population, where sleep need remains high [22,69,70].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [22] Owens J. Insufficient sleep in adolescents and young adults: an update on causes and consequences. Pediatrics. 2014;134(3):E921–E32. https://doi.org/10.1542/peds.2014-1696. source
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- cites [69] Carskadon MA. Sleep in adolescents: the perfect storm. Pediatr Clin N Am. 2011;58(3):637–47. https://doi.org/10.1016/j.pcl.2011.03.003 . source
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- cites [70] Crowley SJ, Wolfson AR, Tarokh L, Carskadon MA. An update on adolescent sleep: new evidence informing the perfect storm model. J Adolesc. 2018;67:55–65. https://doi.org/10.1016/j.adolescence.2018.06.001 . source
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- Premisereasoning
Even when a platform remains prevalent, its specific features evolve over time, facilitating shifts in the social expectations and norms for how people engage with social media.
“Even when a platform remains prevalent, its specific features evolve over time, facilitating shifts in the social expectations and norms for how people engage with social media.”
Quote in the paperSubstantial claim - Premisecitation
Across this research area, use of single-item non-validated measures (often of duration or frequency of use) is common.
“Across this research area, use of single-item non-validated measures (often of duration or frequency of use) is common [13••, 25].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13••, 25]
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- Interpretationreasoning
The measurement tools available to researchers and clinicians limit the questions we can ask participants and patients, the conclusions we can draw and the recommendations we can make.
“It is crucial to remember that the measurement tools available to researchers and clinicians limit the questions we can ask participants and patients, the conclusions we can draw and the recommendations we can make.”
Quote in the paperSubstantial claim - Premisecitation
Social media platforms and norms for how people engage with them continue to evolve during the time between data collection and publication.
“as social media platforms (and norms for how people engage with them) continue to evolve during the time between data collection and publication [64].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [64] Lancet T. Social media, screen time, and young people’s mental health. Lancet. 2019;393(10172):611. https://doi.org/10.1016/S0140-6736(19)30358-7 . source
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- Premisecitation
Recent work has started to consider social media use, sleep and mental health simultaneously, often positioning sleep as a mediator linking social media use to mental health outcomes.
“Recent work has started to consider these simultaneously, often positioning sleep as a mediator linking social media use to mental health outcomes [63,89]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [63] Li X, Buxton OM, Lee S, Chang AM, Berger LM, Hale L. Sleep mediates the association between adolescent screen time and depressive symptoms. Sleep Med. 2019;57:51–60. https://doi.org/10.1016/j.sleep.2019.01.029 . source
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- cites [89] Kelly Y, Zilanawala A, Booker C, Sacker A. Social media use and adolescent mental health: findings from the UK Millennium Cohort Study. EClinicalMedicine. 2018;6:59–68. https://doi.org/10.1016/j.eclinm.2018.12.005 . source
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Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Findingown dataThis type of language from adults is not constructive and often shuts down the potential for meaningful dialogue that can build shared inter-generational understanding.
“From our experience through research and engagement with adolescents and their teachers and parents, we have found that this type of language from adults is not constructive and often shuts down the potential for meaningful dialogue that can build shared inter-generational understanding.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationTechnology use can impact sleep by delaying bedtimes and/or interrupting nighttime sleep.
“These mechanisms include technology use delaying bedtimes and/or interrupting nighttime sleep [28][29][30]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28][29][30]
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PremisecitationSocial media platforms provide richly varied opportunities for social interactions, allowing individuals to curate a careful self-presentation through public profiles, quantify peer approval through number of likes and retweets, and extend daytime face-to-face peer interactions with 24/7 availability for individual and group messages.
“Importantly, platforms provide richly varied opportunities for social interactions, allowing individuals to curate a careful selfpresentation through public profiles, quantify peer approval through number of likes and retweets and extend daytime face-to-face peer interactions with 24/7 availability for individual and group messages [7,17].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [7] Fox J, Moreland JJ. The dark side of social networking sites: an exploration of the relational and psychological stressors associated with Facebook use and affordances. Comput Hum Behav. 2015;45:168–76. https://doi.org/10.1016/j.chb.2014.11.083 . source
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- cites [17] Woods HC, Scott H. #Sleepyteens: social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. J Adolesc. 2016;51:41–9. https://doi.org/10.1016/j.adolescence.2016.05.008 . source
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PremisecitationTechnology use may impact sleep by increasing cognitive arousal at bedtime.
“It has also been proposed that technology use may impact on sleep by increasing cognitive arousal at bedtime [1•, 27••, 32].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [1•, 27••, 32]
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PremisecitationSocial media use is receiving increasing attention independent from other forms of electronic media use, with researchers calling for improved understanding of its unique social, emotional and cognitive aspects in relation to sleep and mental health outcomes.
“Therefore, social media use is receiving increasing attention independent from other forms of electronic media use, with researchers calling for improved understanding of its unique social, emotional and cognitive aspects in relation to sleep and mental health outcomes [10, 11••, 12, 13••, 14].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10, 11••, 12, 13••, 14]
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PremisecitationSocial media platforms are easily accessible via smartphone apps, facilitating engagement throughout the day and alongside other activities, and are specifically designed to keep users engaged, with continual notifications and no clearly defined end point.
“Platforms are easily accessible via smartphone apps (facilitating engagement throughout the day and alongside other activities) and specifically designed to keep users engaged, with continual notifications and no clearly defined end point [10,16].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [10] Bhat S, Pinto-Zipp G, Upadhyay H, Polos PG. “To sleep, perchance to tweet”: in-bed electronic social media use and its associations with insomnia, daytime sleepiness, mood, and sleep duration in adults. Sleep Health. 2018;4(2):166–73. https://doi.org/10.1016/j.sleh.2017.12.004 . source
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- cites [16] Exelmans L, Scott H. Social Media Use and Sleep Quality among Adults: The Role of Gender, Age and Social Media Checking Habit. Preprint: 17 April 2019. https://doi.org/10.31234/osf.io/eqxdh source
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PremisecitationIncreasing connectivity offered by devices and platforms has facilitated increased time devoted to media activities and shifts in social norms and expectations around availability and etiquette for online interactions.
“Currently, the increasing connectivity offered by devices and platforms has facilitated not only increased time devoted to these media activities, but also important shifts in social norms and expectations around availability and etiquette for online interactions [7][8][9].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [7] Fox J, Moreland JJ. The dark side of social networking sites: an exploration of the relational and psychological stressors associated with Facebook use and affordances. Comput Hum Behav. 2015;45:168–76. https://doi.org/10.1016/j.chb.2014.11.083 . source
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- cites [8] Scott H, Biello SM, Woods HC. Identifying drivers for bedtime social media use despite sleep costs: the adolescent perspective. Preprint: 12 Oct 2018. Retrieved from: https://doi.org/10.31234/osf.io/2xb36 . source
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- cites [9] Mai LM, Freudenthaler R, Schneider FM, Vorderer P. “I know you’ve seen it!” Individual and social factors for users’ chatting behavior on Facebook. Comput Hum Behav. 2015;49:296–302. https://doi.org/10.1016/j.chb.2015.01.074 . source
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PremisecitationSleep and mental health are two inextricably linked aspects of health that together present a significant and well-recognised social, economic and health burden internationally.
“Researchers and practitioners are therefore updating their approaches to understanding and treating sleep and mental health as two inextricably linked aspects of health, which together present a significant and well-recognised social, economic and health burden internationally [22][23][24].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22][23][24]
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PremisecitationExisting reviews indicate that social media use, alongside other technology activities like TV viewing, video gaming and computer and smartphone use, is generally associated with poorer sleep outcomes, particularly shorter sleep duration and also delayed bedtimes and poorer sleep quality.
“Existing reviews of this evidence indicate that social media use-alongside other technology activities like TV viewing, video gaming and computer and smartphone useis generally associated with poorer sleep outcomes, particularly shorter sleep duration and also delayed bedtimes and poorer sleep quality [1•, 2•, 26].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1•, 2•, 26]
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PremisereasoningCompared with other forms of technology or traditional media, social media platforms facilitate unique changes in how we spend our time and in how we interact with each other.
“Compared with other forms of technology or traditional media, social media platforms facilitate unique changes not only in how we spend our time but also crucially in how we interact with each other.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThese features and user experiences contribute to increased time devoted to social media use and to evolving social norms around expected availability and the urgency of online interactions, presenting unique implications for mental health and sleep.
“Together, these features and user experiences contribute not only to increased time devoted to social media use [18], but also importantly to evolving social norms around expected availability and the urgency of online interactions [7,8,19], presenting unique implications for mental health and sleep.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [18] Smith A, Anderson M. Social Media Use in 2018. Pew Research Center; 2018. Retrieved from: https://www.pewinternet.org/2018/03/01/social-media-use-in-2018/ .
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- cites [7] Fox J, Moreland JJ. The dark side of social networking sites: an exploration of the relational and psychological stressors associated with Facebook use and affordances. Comput Hum Behav. 2015;45:168–76. https://doi.org/10.1016/j.chb.2014.11.083 . source
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- cites [8] Scott H, Biello SM, Woods HC. Identifying drivers for bedtime social media use despite sleep costs: the adolescent perspective. Preprint: 12 Oct 2018. Retrieved from: https://doi.org/10.31234/osf.io/2xb36 . source
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- cites [19] Thomee S, Dellve L, Harenstam A, Hagberg M. Perceived connections between information and communication technology use and mental symptoms among young adults - a qualitative study. BMC Public Health. 2010;10:66. https://doi.org/10.1186/1471-2458-10-66 . source
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Premisenone givenStudies in this area are primarily cross-sectional, and the question of causality remains.
“It is important to note, however, that studies are primarily crosssectional, and the question of causality remains”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThese findings are consistent with a sleep displacement mechanism, as an hour devoted to any activity including using social media is an hour spent awake.
“These findings are consistent with a sleep displacement mechanism [1•, 27••, 28], as there are only 24 h in a day, and an hour devoted to any activity (including using social media) is an hour that is spent awake.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1•, 27••, 28]
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InterpretationcitationFocusing exclusively on reducing nighttime social media activity (e.g. by limiting access) is challenging to implement and fails to address other relevant factors, such as underlying concerns and arousal, that persist independent of actual social media activity.
“For clinicians, educators and parents of adolescents, this indicates that focusing exclusively on reducing nighttime social media activity (e.g. by limiting access) is not only challenging to implement [45,46], but also fails to address other relevant factors, such as underlying concerns and arousal, that persist independent of actual social media activity.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [45] Bartel K, Scheeren R, Gradisar M. Altering adolescents’ pre-bedtime phone use to achieve better sleep health. Health Commun. 2018;34:1–7. https://doi.org/10.1080/10410236.2017.1422099 . source
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- cites [46] Houghton S, Hunter SC, Rosenberg M, Wood L, Zadow C, Martin K, et al. Virtually impossible: limiting Australian children and adolescents daily screen based media use. BMC Public Health. 2015;15(1):5. https://doi.org/10.1186/1471-2458-15-5 . source
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PremisecitationHighly invested users report poorer sleep quality and may find it more difficult to disengage from social media at night.
“This has implications for sleep outcomes, as highly invested users report poorer sleep quality and may find it more difficult to disengage from social media at night [17].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [17] Woods HC, Scott H. #Sleepyteens: social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. J Adolesc. 2016;51:41–9. https://doi.org/10.1016/j.adolescence.2016.05.008 . source
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PremisecitationThese protective and risk factors include perceived and actual levels of online social support, and the valence of individuals' social media content, interactions and social comparisons.
“These include perceived and actual levels of online social support [35][36][37], and the valence of individuals' social media content, interactions and social comparisons [38][39][40].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [35][36][37]
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- cites [38][39][40]
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Premisenone givenThis broader perspective on social media use, including its cognitive, social and emotional aspects, is increasingly represented in mental health literature.
“This broader perspective on social media use (including its cognitive, social and emotional aspects) is increasingly represented in mental health literature.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationYoung people often report feelings of disconnectedness and missing out without access to social media and prefer to keep their phones within close reach during the night.
“Young people in particular often report feelings of disconnectedness and missing out without access to social media and prefer to keep their phones within close reach during the night [43].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [43] Vorderer P, Kromer N, Schneider FM. Permanently online - permanently connected: explorations into university students’ use of social media and mobile smart devices. Comput Hum Behav. 2016;63:694–703. https://doi.org/10.1016/j.chb.2016.05.085 . source
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InterpretationreasoningConceptualising social media use in minutes and hours only gives one part of the picture.
“However, to meaningfully inform clinical practice and wider policy, it is crucial to remember that conceptualising social media use in minutes and hours only gives one part of the picture.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationFear of missing out has been linked to shorter sleep duration via both a behavioural pathway (driving late night social media use, which delays bedtimes) and a cognitive pathway (increasing pre-sleep cognitive arousal, thus further delaying sleep onset).
“This underlying fear of missing out has been linked to shorter sleep duration via both a behavioural pathway (by driving late night social media use, which delays bedtimes) and a cognitive pathway (by increasing pre-sleep cognitive arousal, thus further delaying sleep onset) [12].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] Scott H, Woods HC. Fear of missing out and sleep: cognitive behavioural factors in adolescents’ nighttime social media use. J Adolesc. 2018;68:61–5. https://doi.org/10.1016/j.adolescence.2018.07.009 . source
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PremisecitationTime spent using image-based platforms like Instagram and Snapchat (but not text-based platforms like Twitter) is associated with decreased loneliness, possibly due to an enhanced sense of intimacy.
“For example, time spent using image-based platforms like Instagram and Snapchat (but not text-based platforms like Twitter) is associated with decreased loneliness, possibly due to an enhanced sense of intimacy [50].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50] Pittman M, Reich B. Social media and loneliness: why an Instagram picture may be worth more than a thousand Twitter words. Comput Hum Behav. 2016;62:155–67. https://doi.org/10.1016/j.chb.2016.03.084 . source
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PremisecitationNegative well-being outcomes are not inevitable, but depend on whether specific social media practices promote meaningful social connection.
“Clark and colleagues stress the importance of understanding this quality of social connection in their proposed interpersonal-connection-behaviours framework [11••], arguing that negative well-being outcomes are not inevitable, but depend on whether specific social media practices promote meaningful social connection.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11••]
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PremisecitationSimilar calls have been made in the mental health literature to examine the content, context and interactivity of social media use, rather than limiting discussions to simply total 'screen time'.
“Therefore, as in the sleep field, similar calls have been made in the mental health literature to examine the content, context and interactivity of social media use, rather than limiting discussions to simply total "screen time" [10, 11••, 13••, 15•].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10, 11••, 13••, 15•]
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PremisecitationThe benefit of decreased loneliness applies to individuals who use image-sharing platforms for the purpose of interacting with other people, whereas those who simply broadcast content report increased loneliness.
“This benefit applies to individuals who use these image-sharing platforms for the purpose of interacting with other people, whereas those who simply broadcast content actually report increased loneliness [51].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [51] Yang C-C. Instagram use, loneliness, and social comparison orientation: interact and browse on social media, but don’t compare. Cyberpsychol Behav Soc Netw. 2016;19(12):703–8. https://doi.org/10.1089/cyber.2016.0201 . source
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PremisecitationThose who use image-based platforms to interact with people they know personally are not at risk for negative consequences, whilst those who view and interact with image-based content from strangers are more likely to engage in negative social comparisons and have depressive symptoms.
“Specifically, it seems that those who use image-based platforms to interact with people they know personally are not at risk for negative consequences, whilst those who view and interact with image-based content from strangers are more likely to engage in negative social comparisons and have depressive symptoms [52].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [52] Lup K, Trub L, Rosenthal L. Instagram #Instasad?: exploring associations among Instagram use, depressive symptoms, negative social comparison, and strangers followed. Cyberpsychol Behav Soc Netw. 2015;18(5):247–52. https://doi.org/10.1089/cyber.2014.0560 . source
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PremisecitationWhilst depressed individuals tend to interpret their social media interactions more negatively, certain online experiences (negative social comparison, seeking but not receiving support) can further negatively impact on mood, exacerbating symptoms for those with existing mental health problems.
“Similarly, whilst depressed individuals tend to interpret their social media interactions more negatively, certain online experiences (negative social comparison, seeking but not receiving support) can further negatively impact on mood, exacerbating symptoms for those with existing mental health problems [35,36,39,62].”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [35] Frison E, Eggermont S. The impact of daily stress on adolescents’ depressed mood: the role of social support seeking through Facebook. Comput Hum Behav. 2015;44:315–25. https://doi.org/10.1016/j.chb.2014.11.070 . source
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- cites [36] Park J, Lee DS, Shablack H, Verduyn P, Deldin P, Ybarra O, et al. When perceptions defy reality: the relationships between depression and actual and perceived Facebook social support. J Affect Disord. 2016;200:37–44. https://doi.org/10.1016/j.jad.2016.01.048 . source
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- cites [39] Appel H, Crusius J, Gerlach AL. Social comparison, envy, and depression on Facebook: a study looking at the effects of high comparison standards on depressed individuals. J Soc Clin Psychol. 2015;34(4):277–89. https://doi.org/10.1521/jscp.2015.34.4.277 . source
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- cites [62] Feinstein BA, Hershenberg R, Bhatia V, Latack JA, Meuwly N, Davila J. Negative social comparison on Facebook and depressive symptoms: rumination as a mechanism. US: Educational Publishing Foundation; 2013. p. 161–70.
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InterpretationreasoningTaking this broader perspective on social media use has brought valuable new insight to links with mental health, and can offer similar benefits to sleep research and practice.
“Taking this broader perspective on social media use (moving beyond simply hours per day, to examine a range of relevant social and emotional aspects) has therefore brought valuable new insight to links with mental health, and we argue that this can offer similar benefits to sleep research and practice.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationPositive online social interactions are associated with increased self-esteem and positive mental well-being, as well as decreased anxiety and depression, by providing social support and positive feedback.
“In contrast, positive online social interactions are associated with increased self-esteem and positive mental well-being, as well as decreased anxiety and depression, by providing social support and positive feedback [13••, 56].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13••, 56]
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PremisecitationThe relationship between social media use and sleep is likely bidirectional, with some poor sleepers and those who have naturally later circadian preferences also turning to social media as a sleep aid or to pass time until they fall asleep.
“However, it is likely that this relationship is bidirectional, with some poor sleepers and those who have naturally later circadian preferences also turning to social media as a sleep aid or to pass time until they fall asleep [60,61].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [60] Exelmans L, Van den Bulck J. The use of media as a sleep aid in adults. Behav Sleep Med. 2016;14(2):121–33. https://doi.org/10.1080/15402002.2014.963582 . source
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- cites [61] Tavernier R, Willoughby T. Sleep problems: predictor or outcome of media use among emerging adults at university? J Sleep Res. 2014;23(4):389–96. https://doi.org/10.1111/jsr.12132 . source
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PremisecitationAvailable multi-item validated measures are often specific to one platform and/or pathologise social media use.
“Furthermore, available multi-item validated measures are often specific to one platform [84,85] and/or pathologise social media use [86][87][88].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [84] Ellison NB, Steinfield C, Lampe C. The benefits of Facebook “friends”: social capital and college students’ use of online social network sites. J Comput-Mediat Commun. 2007;12(4):1143–68. source
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- cites [85] Ross C, Orr ES, Sisic M, Arseneault JM, Simmering MG, Orr RR. Personality and motivations associated with Facebook use. Comput Hum Behav. 2009;25(2):578–86. https://doi.org/10.1016/j.chb.2008.12.024 . source
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- cites [86][87][88]
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PremisecitationExisting studies consistently voice the need for future longitudinal work to examine temporal directionality and causality.
“Existing studies consistently voice the need for future longitudinal work to examine temporal directionality and causality [10,17,63].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [10] Bhat S, Pinto-Zipp G, Upadhyay H, Polos PG. “To sleep, perchance to tweet”: in-bed electronic social media use and its associations with insomnia, daytime sleepiness, mood, and sleep duration in adults. Sleep Health. 2018;4(2):166–73. https://doi.org/10.1016/j.sleh.2017.12.004 . source
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- cites [17] Woods HC, Scott H. #Sleepyteens: social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. J Adolesc. 2016;51:41–9. https://doi.org/10.1016/j.adolescence.2016.05.008 . source
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- cites [63] Li X, Buxton OM, Lee S, Chang AM, Berger LM, Hale L. Sleep mediates the association between adolescent screen time and depressive symptoms. Sleep Med. 2019;57:51–60. https://doi.org/10.1016/j.sleep.2019.01.029 . source
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PremisecitationThe most popular platform to be studied in relation to anxiety and depression (as of June 2016) was Facebook, which is now facing competition from other much more rapidly growing platforms, particularly among young people.
“For example, the most popular platform to be studied in relation to anxiety and depression (as of June 2016) was Facebook [13••], which is now facing competition from other much more rapidly growing platforms, particularly among young people [18].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [13••]
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- cites [18] Smith A, Anderson M. Social Media Use in 2018. Pew Research Center; 2018. Retrieved from: https://www.pewinternet.org/2018/03/01/social-media-use-in-2018/ .
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Interpretationnone givenExamining social media habits over time can present particular challenges when platforms, features and associated norms are continually shifting.
“However, examining social media habits over time can present particular challenges when platforms, features and associated norms are continually shifting.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationResearch literature often approaches media use as a potential threat or harmful activity, using language around social media 'addiction' and 'problematic use', which can pathologise social media use despite insufficient evidence for considering it an addiction.
“For example, research literature often approaches media use as a potential threat or harmful activity, using language around social media "addiction" and "problematic use" [10,[72][73][74][75][76][77][78][79], which can pathologise social media use despite insufficient evidence for considering it an addiction [80].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [10,[72]...]
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- cites [80] Billieux J, Maurage P, Lopez-Fernandez O, Kuss D, Griffiths M. Can Disordered Mobile Phone Use Be Considered a Behavioral Addiction? An Update on Current Evidence and a Comprehensive Model for Future Research. Current Addiction Reports. 2015;2:156. https://doi.org/10.1007/s40429-015-0054-y . source
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PremisecitationPoor quality measurement is surprisingly prevalent in published literature and can seriously undermine the conclusions of a study.
“poor quality measurement is surprisingly prevalent in published literature and can seriously undermine the conclusions of a study [83•]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [83•]
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PremisecitationMeasurement is of critical importance to the research process and yet is often overlooked.
“Measurement is of critical importance to the research process and yet is often overlooked: poor quality measurement is surprisingly prevalent in published literature and can seriously undermine the conclusions of a study [83•].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [83•]
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PremisecitationAdolescents and emerging adults must navigate an intense developmental stage, whilst managing high academic demands, during a period of increased risk for developing lifelong poor mental health.
“These concerns are understandable, since adolescents and emerging adults must navigate an intense developmental stage, whilst managing high academic demands, during a period of increased risk for developing lifelong poor mental health [67,68].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [67] Orth U, Maes J, Schmitt M. Self-esteem development across the life span: a longitudinal study with a large sample from Germany. Dev Psychol. 2015;51(2):248–59. https://doi.org/10.1037/a0038481 . source
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- cites [68] McLaughlin KA, King K. Developmental trajectories of anxiety and depression in early adolescence. J Abnorm Child Psychol. 2015;43(2):311–23. https://doi.org/10.1007/s10802-014-9898-1 . source
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PremisecitationWith the introduction of 'read receipts', users can now see when a message has been viewed, which contributes to perceived obligation to respond quickly.
“For example, with the introduction of "read receipts", users can now see when a message has been viewed, which contributes to perceived obligation to respond quickly [8,9].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [8] Scott H, Biello SM, Woods HC. Identifying drivers for bedtime social media use despite sleep costs: the adolescent perspective. Preprint: 12 Oct 2018. Retrieved from: https://doi.org/10.31234/osf.io/2xb36 . source
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- cites [9] Mai LM, Freudenthaler R, Schneider FM, Vorderer P. “I know you’ve seen it!” Individual and social factors for users’ chatting behavior on Facebook. Comput Hum Behav. 2015;49:296–302. https://doi.org/10.1016/j.chb.2015.01.074 . source
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Classified as probably not a substantial claim.
PremisecitationThe potentially changing implications of social media use for health and well-being across the lifespan remain a gap in current understanding.
“and its potentially changing implications for health and well-being across the lifespan remain a gap in current understanding [16].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [16] Exelmans L, Scott H. Social Media Use and Sleep Quality among Adults: The Role of Gender, Age and Social Media Checking Habit. Preprint: 17 April 2019. https://doi.org/10.31234/osf.io/eqxdh source
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InterpretationcitationIn this rapidly evolving social media landscape, research measures can quickly become outdated and even relatively recent findings may not generalise beyond the specific platforms and devices in vogue at the time of data collection.
“Therefore, in this rapidly evolving social media landscape, research measures can quickly become outdated and even relatively recent findings may not generalise beyond the specific platforms and devices in vogue at the time of data collection [2•, 64], as users' experiences are constantly changing.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [2•, 64]
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PremisecitationPreprints offer a simple way to accelerate communication of new findings, with benefits for authors and the field as a whole.
“Preprints offer a simple way to accelerate communication of new findings, with benefits for authors and the field as a whole [91]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [91] Sarabipour S, Debat HJ, Emmott E, Burgess SJ, Schwessinger B, Hensel Z. On the value of preprints: an early career researcher perspective. PLoS Biol. 2019;17(2):e3000151. https://doi.org/10.1371/journal.pbio.3000151 . source
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May combine two claims.
Study design and conductcitationThe authors' current work has developed and validated a measure of difficulty disengaging from social media at night, whose content and wording is built from an adolescent perspective.
“In our current work, we have developed and validated a measure of difficulty disengaging from social media at night, whose content and wording is built from an adolescent perspective [8].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [8] Scott H, Biello SM, Woods HC. Identifying drivers for bedtime social media use despite sleep costs: the adolescent perspective. Preprint: 12 Oct 2018. Retrieved from: https://doi.org/10.31234/osf.io/2xb36 . source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningPreprints can be especially valuable when studying rapidly evolving phenomena like social media use.
“which can be especially valuable when studying rapidly evolving phenomena like social media use.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationHaving tools available to capture underlying issues such as motivations for and experiences of online social interactions allows researchers to build a more nuanced understanding and improves the longevity of measures, as specific platforms and features rise and fall over time.
“Having tools available to capture underlying issues (e.g.motivations for and experiences of online social interactions) allows us to build a more nuanced understanding and also improves the longevity of measures, as specific platforms and features rise and fall over time [11••].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11••]
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenMeasurement is a key issue to address when aiming to maximise the relevance and longevity of current research in a rapidly evolving social media landscape.
“Furthermore, measurement is a key issue to address when aiming to maximise the relevance and longevity of current research in a rapidly evolving social media landscape (which can become particularly problematic in longitudinal work).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
PremisecitationRapid developments in technological and social trends mean that even the very latest published research findings can quickly become outdated.
“Rapid developments in technological and social trends mean that even the very latest published research findings can quickly become outdated”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [64] Lancet T. Social media, screen time, and young people’s mental health. Lancet. 2019;393(10172):611. https://doi.org/10.1016/S0140-6736(19)30358-7 . source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningCollaborative multidisciplinary approaches that triangulate insight from different methodologies and perspectives can help inform an integrated understanding of sleep and mental health in today's connected world.
“Collaborative multidisciplinary approaches that triangulate insight from different methodologies and perspectives can help inform an integrated understanding of sleep and mental health in today's connected world.”
Quote in the paperNot a substantial claim- Rests on an assumption: No single methodological or theoretical approach can ever provide the full story.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSleep and mental health are two inextricably linked aspects of overall health and well-being.
“support ongoing efforts to improve understanding of sleep and mental health as two inextricably linked aspects of overall health and well-being [20].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] Reynolds CF 3rd, O’Hara R. DSM-5 sleep-wake disorders classification: overview for use in clinical practice. Am J Psychiatry. 2013;170(10):1099–101. https://doi.org/10.1176/appi.ajp.2013.13010058 source
Not checked in the free run.
The paper relies on this without support.
Survey space often limits large cohort surveys to single-item measures of screen time or daily social media use.
“with survey space often limiting large cohort surveys to single-item measures of”
The paper relies on this without support.
No single methodological or theoretical approach can ever provide the full story.
“Of course, no single methodological or theoretical approach can ever provide the full story”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Family connectedness has the potential to mitigate well-documented negative effects of night-time SMU on sleep.
“Family connectedness therefore has the potential to mitigate well-documented negative effects of night-time SMU on sleep [14].”
From Social media use and social connectedness among adolescents in the United Kingdom: a qualitative exploration of displacement and stimulation (2021) · cites this paper as [14]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
In-text citation numbers are shifted from the reference list
MinorThe text cites Clark and colleagues as reference 11, but their paper is listed as reference 12. The reference list begins with an explanatory note numbered 1, leaving the cited papers one number higher than their in-text citations.
“Clark and colleagues stress the importance of understanding this quality of social connection in their proposed interpersonal-connection-behaviours framework [11••]”
“12. •• Clark JL, Algoe SB, Green MC. Social network sites and well-being: the role of social connection.”
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- Authors
- Scott, H., & Woods, H. C.
- Affiliations
- University of Glasgow (GB)
- Corresponding author
- Scott, Holly
- Venue
- Current Sleep Medicine Reports
- Published
- 2019-07-13
- Volume
- 5
- Issue
- 3
- Pages
- 141-149
- ISSN
- 2198-6401 (ISSN-L)
- OpenAlex
- W2960383546
- Semantic Scholar
- f948b4d7ffd1759c1adcc4ebd1ca395105333565
- Cited by
- 105
- References
- 87
- Citations by year
- 2026: 11 · 2025: 15 · 2024: 13 · 2023: 21 · 2022: 17 · 2021: 18 · 2020: 9 · 2019: 1
- FWCI
- 22.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Current Sleep Medicine Reports (publishedVersion, cc-by)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion, cc-by-sa)
- Funders
- University of Glasgow
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Physical Sciences › Computer Science › Computer Science Applications › Digital Media and Philosophy
- Keywords
- social media use, sleep, mental health, screen time, social media content, measurement quality, multidisciplinary research, online interaction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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