Purpose of Review
The aims of this narrative review were to (1) synthesise the literature on the relationship between screen time and important mental health outcomes and (2) examine the underpinning factors that can influence this association.
Paralleling the rise of mental health issues in children and adolescents is the ubiquitous overuse of screens, but it is unclear how screen time is related to important mental health outcomes and whether this association differs by gender, age and screen type.
Medline/PubMed, PsychINFO and Google Scholar databases were searched on December 2019 for articles published mainly in the last 5 years. The search focused on two main concepts: (i) screen time and (ii) mental health outcomes including anxiety, depression, psychological and psychosocial well-being and body image concerns.
Sixty studies were included in the review. Higher levels of screen time were associated with more severe depressive symptoms. We found moderate evidence for an association between screen time and poor psychological well-being and body dissatisfaction especially among females. Relationships between screen time and anxiety were inconsistent and somewhat gender specific. Social media use was consistently associated with poorer mental health.
Higher levels of screen time are generally associated with poorer mental health outcomes, but associations are influenced by screen type, gender and age. Practitioners, parents, policy makers and researchers should collectively identify and evaluate strategies to reduce screen time, or to use screens more adaptively, as a means of promoting better mental health among children and adolescents.
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Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance
Polanczyk GV, Salum GA, Sugaya LS, Caye A, Rohde LA. Annual research review: a meta-analysis of the worldwide prevalence of mental disorders in children and adolescents. J Child Psychol Psychiatry. 2015;56:345–65.
The Human Face of Mental Health and Mental Illness in Canada, 2006: (611102012-001) [Internet]. American Psychological Association; 2006 [cited 2019 Dec 5]. Available from: http://doi.apa.org/get-pe-doi.cfm?doi=10.1037/e611102012-001
Kessler RC, Merikangas KR. The National Comorbidity Survey Replication (NCS-R): background and aims. Int J Methods Psychiatr Res. 2004;13:60–8.
Gore FM, Bloem PJN, Patton GC, Ferguson J, Joseph V, Coffey C, et al. Global burden of disease in young people aged 10-24 years: a systematic analysis. Lancet. 2011;377:2093–102.
Chesney E, Goodwin GM, Fazel S. Risks of all-cause and suicide mortality in mental disorders: a meta-review. World Psychiatry. 2014;13:153–60.
Sedentary Behaviour Research Network. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours.”. Appl Physiol Nutr Metab. 2012;37:540–2.
Pettee Gabriel KK, Morrow JR, Woolsey A-LT. Framework for physical activity as a complex and multidimensional behavior. J Phys Act Health. 2012;9(Suppl 1):S11–8.
Troiano RP, Pettee Gabriel KK, Welk GJ, Owen N, Sternfeld B. Reported physical activity and sedentary behavior: why do you ask? J Phys Act Health. 2012;9(Suppl 1):S68–75.
Arundell L, Fletcher E, Salmon J, Veitch J, Hinkley T. A systematic review of the prevalence of sedentary behavior during the after-school period among children aged 5-18 years. Int J Behav Nutr Phys Act. 2016;13:1–9.
Lubans DR, Hesketh K, Cliff DP, Barnett LM, Salmon J, Dollman J, et al. A systematic review of the validity and reliability of sedentary behaviour measures used with children and adolescents. Obes Rev. 2011;12:781–99.
Atkin AJ, Gorely T, Clemes SA, Yates T, Edwardson C, Brage S, et al. Methods of measurement in epidemiology: sedentary behaviour. Int J Epidemiol. 2012;41:1460–71.
Bauman AE, Petersen CB, Blond K, Rangul V, Hardy LL. The descriptive epidemiology of sedentary behaviour. In: Leitzmann MF, Jochem C, Schmid D, editors. Sedentary behaviour epidemiology [internet]. Cham: Springer International Publishing; 2018 [cited 2019 Nov 19]. p. 73–106. https://doi.org/10.1007/978-3-319-61552-3_4.
Khan A, Uddin R, Lee E-Y, Tremblay MS. Sitting time among adolescents across 26 Asia–Pacific countries: a population-based study. Int J Public Health. 2019;64:1129–38.
Biswas A, Oh PI, Faulkner GE, Bajaj RR, Silver MA, Mitchell MS, et al. Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: a systematic review and meta-analysis. Ann Intern Med. 2015;162:123–32.
Patterson R, McNamara E, Tainio M, de Sá TH, Smith AD, Sharp SJ, et al. Sedentary behaviour and risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes: a systematic review and dose response meta-analysis. Eur J Epidemiol. 2018;33:811–29.
Hebestreit A, Thumann B, Wolters M, Bucksch J, Huybrechts I, Inchley J, et al. Road map towards a harmonized pan-European surveillance of obesity-related lifestyle behaviours and their determinants in children and adolescents. Int J Public Health. 2019;64:615–23.
Pogrmilovic BK, O’Sullivan G, Milton K, Biddle SJH, Bauman A, Bull F, et al. A global systematic scoping review of studies analysing indicators, development, and content of national-level physical activity and sedentary behaviour policies. Int J Behav Nutr Phys Act. 2018;15:1–17.
LeBlanc AG, Spence JC, Carson V, Connor Gorber S, Dillman C, Janssen I, et al. Systematic review of sedentary behaviour and health indicators in the early years (aged 0-4 years). Appl Physiol Nutr Metab. 2012;37:753–72.
Fang K, Mu M, Liu K, He Y. Screen time and childhood overweight/obesity: a systematic review and meta-analysis. Child Care Health Dev. 2019;45:744–53.
Mitchell JA, Rodriguez D, Schmitz KH, Audrain-McGovern J. Greater screen time is associated with adolescent obesity: a longitudinal study of the BMI distribution from ages 14 to 181 2. Obesity. 2013;21:572–5.
Goldfield GS, Kenny GP, Hadjiyannakis S, Phillips P, Alberga AS, Saunders TJ, et al. Video game playing is independently associated with blood pressure and lipids in overweight and obese adolescents. PLoS One. 2011;6:e26643.
Saunders TJ, Chaput J-P, Tremblay MS. Sedentary behaviour as an emerging risk factor for cardiometabolic diseases in children and youth. Can J Diabetes. 2014;38:53–61.
WHO adolescent mental health [Internet]. 2019 [cited 2019 Nov 20]. Available from: https://www.who.int/news-room/fact-sheets/detail/adolescent-mental-health
Australia Co. Australian 24-Hour Movement Guidelines for Children (5-12 years) and Young People (13-17 years): An Integration of Physical Activity, Sedentary Behaviour, and Sleep. 2019. p. 148.
Tremblay MS, Chaput J-P, Adamo KB, Aubert S, Barnes JD, Choquette L, et al. Canadian 24-hour movement guidelines for the early years (0–4 years): an integration of physical activity, sedentary behaviour, and sleep. BMC Public Health [Internet]. 2017;17 [cited 2019 Feb 22]. Available from: https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-017-4859-6.
Tremblay MS, LeBlanc AG, Carson V, Choquette L, Connor Gorber S, Dillman C, et al. Canadian physical activity guidelines for the early years (aged 0–4 years). Appl Physiol Nutr Metab. 2012;37:345–56.
Tremblay MS, Carson V, Chaput J-P, Connor Gorber S, Dinh T, Duggan M, et al. Canadian 24-hour movement guidelines for children and youth: an integration of physical activity, sedentary behaviour, and sleep. Appl Physiol Nutr Metab. 2016;41:S311–27.
Downing KL, Hnatiuk J, Hesketh KD. Prevalence of sedentary behavior in children under 2 years: a systematic review. Prev Med. 2015;78:105–14.
Vanderloo LM. Screen-viewing among preschoolers in childcare: a systematic review. BMC Pediatr. 2014;14:205.
O’Brien KT, Vanderloo LM, Bruijns BA, Truelove S, Tucker P. Physical activity and sedentary time among preschoolers in centre-based childcare: a systematic review. Int J Behav Nutr Phys Activity [Internet]. 2018;15 [cited 2019 Feb 22] Available from: https://ijbnpa.biomedcentral.com/articles/10.1186/s12966-018-0745-6.
Pereira JR, Cliff DP, Sousa-Sá E, Zhang Z, Santos R. Prevalence of objectively measured sedentary behavior in early years: systematic review and meta-analysis. Scand J Med Sci Sports. 2019;29:308–28.
Ferrari GL d M, Pires C, Solé D, Matsudo V, Katzmarzyk PT, Fisberg M. Factors associated with objectively measured total sedentary time and screen time in children aged 9–11 years. J Pediatr. 2019;95:94–105.
Cliff DP, Hesketh KD, Vella SA, Hinkley T, Tsiros MD, Ridgers ND, et al. Objectively measured sedentary behaviour and health and development in children and adolescents: systematic review and meta-analysis. Obes Rev. 2016;17:330–44.
Kraut R, Patterson M, Lundmark V, Kiesler S, Mukopadhyay T, Scherlis W. Internet paradox. A social technology that reduces social involvement and psychological well-being? Am Psychol. 1998;53:1017–31.
Sampasa-Kanyinga H, Hamilton HA, Chaput J-P. Use of social media is associated with short sleep duration in a dose-response manner in students aged 11 to 20 years. Acta Paediatr. 2018;107:694–700.
Sampasa-Kanyinga H, Hamilton HA. Social networking sites and mental health problems in adolescents: the mediating role of cyberbullying victimization. Eur Psychiatry. 2015;30:1021–7.
Sampasa-Kanyinga H, Chaput J-P, Hamilton HA, Colman I. Bullying involvement, psychological distress, and short sleep duration among adolescents. Soc Psychiatry Psychiatr Epidemiol. 2018;53:1371–80.
Sanders T, Parker PD, del Pozo-Cruz B, Noetel M, Lonsdale C. Type of screen time moderates effects on outcomes in 4013 children: evidence from the longitudinal study of Australian children. Int J Behav Nutr Phys Act BioMed Central. 2019;16:1–10.
Rentfrow PJ, Goldberg LR, Zilca RD. Listening, watching, and reading: the structure and correlates of entertainment preferences. J Pers. 2011;79:223–58.
Valkenburg PM, Peter J. The differential susceptibility to media effects model. J Commun Oxford Academic. 2013;63:221–43.
Kessler RC, Aguilar-Gaxiola S, Alonso J, Chatterji S, Lee S, Ormel J, et al. The global burden of mental disorders: an update from the WHO World Mental Health (WMH) surveys. Epidemiol Psichiatr Soc. 2009;18:23–33.
Snell T, Knapp M, Healey A, Guglani S, Evans-Lacko S, Fernandez J-L, et al. Economic impact of childhood psychiatric disorder on public sector services in Britain: estimates from national survey data. J Child Psychol Psychiatry. 2013;54:977–85.
Jokela M, Ferrie J, Kivimäki M. Childhood problem behaviors and death by midlife: the British National Child Development Study. J Am Acad Child Adolesc Psychiatry. 2009;48:19–24.
Knapp M, King D, Healey A, Thomas C. Economic outcomes in adulthood and their associations with antisocial conduct, attention deficit and anxiety problems in childhood. J Ment Health Policy Econ. 2011;14:137–47.
Patel V. Why adolescent depression is a global health priority and what we should do about it. J Adolesc Health. 2013;52:511–2.
Dick B, Ferguson BJ. Health for the world’s adolescents: a second chance in the second decade. J Adolesc Health. 2015;56:3–6.
World Health Organization. WHO | Depression: let’s talk [Internet]. WHO. 2017 [cited 2019 Dec 12]. Available from: http://www.who.int/mental_health/management/depression/en/
Costello EJ, Egger HL, Angold A. The developmental epidemiology of anxiety disorders: phenomenology, prevalence, and comorbidity. Child Adolesc Psychiatr Clin N Am. 2005;14:631–48.
Sorenson SB, Rutter CM, Aneshensel CS. Depression in the community: an investigation into age of onset. J Consult Clin Psychol. 1991;59:541–6.
Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62:593–602.
Yalin N, Young A. The Age of Onset of Unipolar Depression: Etiopathogenetic and Treatment Implications. Springer, Cham, 2019. p. 111–24.
Goldfield GS, Murray M, Maras D, Wilson AL, Phillips P, Kenny GP, et al. Screen time is associated with depressive symptomatology among obese adolescents: a HEARTY study. Eur J Pediatr. 2016;175:909–19.
Bélair M-A, Kohen DE, Kingsbury M, Colman I. Relationship between leisure time physical activity, sedentary behaviour and symptoms of depression and anxiety: evidence from a population-based sample of Canadian adolescents. BMJ Open. 2018;8:e021119.
Hayward J, Jacka FN, Skouteris H, Millar L, Strugnell C, Swinburn BA, et al. Lifestyle factors and adolescent depressive symptomatology: associations and effect sizes of diet, physical activity and sedentary behaviour. Aust N Z J Psychiatry. 2016;50:1064–73.
Hoare E, Milton K, Foster C, Allender S. Depression, psychological distress and internet use among community-based Australian adolescents: a cross-sectional study. BMC Public Health. 2017;17:365.
• 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 A large representative study which examines various mechanisms which have been proposed as pathways for the association between social media and adolescent’s mental health. (online harassment, sleep quantity, self-esteem, body image).
Khan A, Burton NW. Is physical inactivity associated with depressive symptoms among adolescents with high screen time? Evidence from a developing country. Ment Health Phys Act. 2017;12:94–9.
Kovess-Masfety V, Keyes K, Hamilton A, Hanson G, Bitfoi A, Golitz D, et al. Is time spent playing video games associated with mental health, cognitive and social skills in young children? Soc Psychiatry Psychiatr Epidemiol. 2016;51:349–57.
Li X, Buxton OM, Lee S, Chang A-M, Berger LM, Hale L. Sleep mediates the association between adolescent screen time and depressive symptoms. Sleep Med. 2019;57:51–60.
Maras D, Flament MF, Murray M, Buchholz A, Henderson KA, Obeid N, et al. Screen time is associated with depression and anxiety in Canadian youth. Prev Med. 2015;73:133–8.
Trinh L, Wong B, Faulkner GE. The independent and interactive associations of screen time and physical activity on mental health, school connectedness and academic achievement among a population-based sample of youth. J Can Acad Child Adolesc Psychiatry. 2015;24:17–24.
Twenge JM, Joiner TE, Rogers ML, Martin GN. Increases in depressive symptoms, suicide-related outcomes, and suicide rates among U.S. adolescents after 2010 and links to increased new media screen time. Clin Psychol Sci. 2018;6:3–17.
Twenge JM, Campbell WK. Associations between screen time and lower psychological well-being among children and adolescents: evidence from a population-based study. Prev Med Rep. 2018;12:271–83 One of very few large studies to explore the association between screen time and mental health on children and adolescents from a very young age.
Twenge JM, Campbell WK. Media use is linked to lower psychological well-being: evidence from three datasets. Psychiatr Q. 2019;90:311–31.
Wang J-L, Sheng J-R, Wang H-Z. The association between mobile game addiction and depression, social anxiety, and loneliness. Front Public Health [Internet]. 2019;7 [cited 2020 Jan 4]. Available from: https://www.frontiersin.org/articles/10.3389/fpubh.2019.00247/full.
Zhang J, Hu H, Hennessy D, Zhao S, Zhang Y. Digital media and depressive symptoms among Chinese adolescents: a cross-sectional study. Heliyon [Internet]. 2019;5 [cited 2020 Jan 7] Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514493/.
• Sampasa-Kanyinga H, Lewis RF. Frequent use of social networking sites is associated with poor psychological functioning among children and adolescents. Cyberpsychol Behav Soc Netw. 2015;18:380–5 A very large representative study which examines mainly the mediating role of cyberbullying on adolescent’s mental health.
Hanprathet N, Manwong M, Khumsri J, Yingyeun R, Phanasathit M. Facebook addiction and its relationship with mental health among Thai high school students. J Med Assoc Thailand Chotmaihet thangphaet. 2015;98:S81–90.
Frison E, Eggermont S. exploring the relationships between different types of Facebook use, perceived online social support, and adolescents’ depressed mood. Soc Sci Comput Rev. 2016;34:153–171.
Barry C, Sidoti C, Briggs S, Reiter S, Lindsey R. Adolescent social media use and mental health from adolescent and parent perspectives. J Adolesc. 2017;61:1–11.
Yan H, Zhang R, Oniffrey T, Chen G, Wang Y, Wu Y, et al. Associations among screen time and unhealthy behaviors, academic performance, and well-being in Chinese adolescents. Int J Environ Res Public Health. 2017;14:596.
Li J-B, Lau JTF, Mo PKH, Su X-F, Tang J, Qin Z-G, et al. Insomnia partially mediated the association between problematic internet use and depression among secondary school students in China. J Behav Addict Akademiai Kiado. 2017;6:554–64.
Wang P, Wang X, Yingqiu W, Xie X, Wang X, Zhao F, et al. Social networking sites addiction and adolescent depression: a moderated mediation model of rumination and self-esteem. Personal Individ Differ. 2018;127:162–7.
Bickham DS, Hswen Y, Rich M. Media use and depression: exposure, household rules, and symptoms among young adolescents in the USA. Int J Public Health. 2015;60:147–55.
Carter JS, Dellucci T, Turek C, Mir S. Predicting depressive symptoms and weight from adolescence to adulthood: stressors and the role of protective factors. J Youth Adolesc. 2015;44:2122–40.
Gunnell KE, Flament MF, Buchholz A, Henderson KA, Obeid N, Schubert N, et al. Examining the bidirectional relationship between physical activity, screen time, and symptoms of anxiety and depression over time during adolescence. Prev Med. 2016;88:147–52.
• Boers E, Afzali MH, Newton N, Conrod P. Association of screen time and depression in adolescence. JAMA Pediatr. 2019;173:853–9 A large longitudinal study with a long term follow-up which examines various types of screen activities effects on adolescent’s mental health.
Etchells PJ, Gage SH, Rutherford AD, Munafò MR. Prospective investigation of video game use in children and subsequent conduct disorder and depression using data from the Avon longitudinal study of parents and children. PLoS One. 2016;11:e0147732.
Grøntved A, Singhammer J, Froberg K, Møller NC, Pan A, Pfeiffer KA, et al. A prospective study of screen time in adolescence and depression symptoms in young adulthood. Prev Med. 2015;81:108–13.
Houghton S, Lawrence D, Hunter SC, Rosenberg M, Zadow C, Wood L, et al. Reciprocal relationships between trajectories of depressive symptoms and screen media use during adolescence. J Youth Adolesc. 2018;47:2453–67.
Khouja JN, Munafò MR, Tilling K, Wiles NJ, Joinson C, Etchells PJ, et al. Is screen time associated with anxiety or depression in young people? Results from a UK birth cohort. BMC Public Health [Internet]. 2019;19 [cited 2019 Nov 17]. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337855/.
Li J, Mo P, Lau J, Su X-F, Zhang X, Wu A, et al. Online social networking addiction and depression: the results from a large-scale prospective cohort study in Chinese adolescents. J Behav Addict. 2018;7:1–11.
McVeigh J, Smith A, Howie E, Straker L. Trajectories of television watching from childhood to early adulthood and their association with body composition and mental health outcomes in young adults. PLoS One. 2016;11:e0152879.
• Ohannessian CM. Video game play and anxiety during late adolescence: the moderating effects of gender and social context. J Affect Disord. 2018;226:216–9 A longitudinal study that considers gender and the social context of video game use on anxiety symptomatology.
Riehm KE, Feder KA, Tormohlen KN, Crum RM, Young AS, Green KM, et al. Associations between time spent using social media and internalizing and externalizing problems among US youth. JAMA Psychiatry. 2019;76:1266–73.
Vernon L, Modecki K, Barber B. Tracking effects of problematic social networking on adolescent psychopathology: the mediating role of sleep disruptions. J Clin Child Adolesc Psychol. 2016;46:1–15.
•• Viner R, Gireesh A, Stiglic N, Hudson L, Goddings A-L, Ward J, et al. Roles of cyberbullying, sleep, and physical activity in mediating the effects of social media use on mental health and wellbeing among young people in England: a secondary analysis of longitudinal data. The Lancet Child & Adolescent Health. 2019;3:685–696. This study is the first longitudinal mediation analysis from a representative cohort which highlights that the impact of social media on is not directly associated with social media use but with the content or the displacement of sleep and physical activity.
Zink J, Belcher BR, Kechter A, Stone MD, Leventhal AM. Reciprocal associations between screen time and emotional disorder symptoms during adolescence. Prev Med Rep. 2019;13:281–8.
Brodersen NH, Steptoe A, Boniface DR, Wardle J. Trends in physical activity and sedentary behaviour in adolescence: ethnic and socioeconomic differences. Br J Sports Med. 2007;41:140–4.
Lack CW, Green AL. Mood disorders in children and adolescents. J Pediatr Nurs. 2009;24:13–25.
McCrae N, Gettings S, Purssell E. Social media and depressive symptoms in childhood and adolescence: a systematic review. Adolescent Res Rev. 2017;2:315–30.
Kim S, Kimber M, Boyle MH, Georgiades K. Sex differences in the association between cyberbullying victimization and mental health, substance use, and suicidal ideation in adolescents. Can J Psychiatr. 2019;64:126–35.
Sadler K, Vizard T, Ford T, Marchesell F, Pearce N, Mandalia D, et al. Mental health of children and young people in England, 2017. [Internet]. NHS Digital. 2017; [cited 2019 Dec 16]. Available from: https://digital.nhs.uk/data-and-information/publications/statistical/mental-health-of-children-and-young-people-in-england/2017/2017.
Giedd JN, Keshavan M, Paus T. Why do many psychiatric disorders emerge during adolescence? Nat Rev Neurosci. 2008;9:947–57.
Yen J-Y, Ko C-H, Yen C-F, Chen S-H, Chung W-L, Chen C-C. Psychiatric symptoms in adolescents with internet addiction: comparison with substance use. Psychiatry Clin Neurosci. 2008;62:9–16.
Diener E. Subjective well-being: the science of happiness and a proposal for a national index. Am Psychol. 2000;55:34–43.
Ryff CD, Keyes CLM. The structure of psychological well-being revisited. 1995;69:719.
Rodríguez-Fernández A, Ramos-Díaz E, Axpe-Saez I. The role of resilience and psychological well-being in school engagement and perceived academic performance: an exploratory model to improve academic achievement. Health and Academic Achievement [Internet]. 2018; [cited 2019 Dec 16]; Available from: https://www.intechopen.com/books/health-and-academic-achievement/the-role-of-resilience-and-psychological-well-being-in-school-engagement-and-perceived-academic-perf.
Hernandez R, Bassett SM, Boughton SW, Schuette SA, Shiu EW, Moskowitz JT. Psychological well-being and physical health: associations, mechanisms, and future directions. Emot Rev. 2018;10:18–29.
Booker CL, Skew AJ, Kelly YJ, Sacker A. Media use, sports participation, and well-being in adolescence: cross-sectional findings from the UK Household Longitudinal Study. Am J Public Health. 2015;105:173–9.
Herman KM, Hopman WM, Sabiston CM. Physical activity, screen time and self-rated health and mental health in Canadian adolescents. Prev Med. 2015;73:112–6.
Lee E-Y, Carson V. Physical activity, sedentary behaviour, and psychosocial well-being among young south Korean children. Child Care Health Dev. 2018;44:108–16.
Przybylski AK, Weinstein N. A large-scale test of the Goldilocks hypothesis: quantifying the relations between digital-screen use and the mental well-being of adolescents. Psychol Sci. 2017;28:204–15.
Przybylski AK, Weinstein N. Digital screen time limits and young children’s psychological well-being: evidence from a population-based study. Child Dev. 2019;90:e56–65.
Suchert V, Hanewinkel R, Isensee B, läuft Study Group. Sedentary behavior, depressed affect, and indicators of mental well-being in adolescence: does the screen only matter for girls? J Adolesc. 2015;42:50–8.
• Zhao J, Zhang Y, Jiang F, Ip P, Ho FKW, Zhang Y, et al. Excessive screen time and psychosocial well-being: the mediating role of body mass index, sleep duration, and parent-child interaction. J Pediatr. 2018;202:157–162.e1 This study is one of very few studies which examines screen time and psychological well-being among preschool children and the role of some mediators on this association such as the BMI, sleep, and parent-child interaction.
Allen MS, Vella SA. Screen-based sedentary behaviour and psychosocial well-being in childhood: cross-sectional and longitudinal associations. Ment Health Phys Act. 2015;9:41–7.
Babic MJ, Smith JJ, Morgan PJ, Eather N, Plotnikoff RC, Lubans DR. Longitudinal associations between changes in screen-time and mental health outcomes in adolescents. Ment Health Phys Act. 2017;12:124–31.
•• Booker CL, Kelly YJ, Sacker A. Gender differences in the associations between age trends of social media interaction and well-being among 10-15 year olds in the UK. BMC Public Health. 2018;18:321 This study examines longitudinal data from a large nationally representative sample and estimated models separately by gender. It suggests gender differences in the relationship between social media interaction and mental well-being.
Hinkley T, Verbestel V, Ahrens W, Lissner L, Molnár D, Moreno LA, et al. Early childhood electronic media use as a predictor of poorer well-being: a prospective cohort study. JAMA Pediatr. 2014;168:485–92.
Kim HH. The impact of online social networking on adolescent psychological well-being (WB): a population-level analysis of Korean school-aged children. Int J Adolesc Youth. 2017;22:364–76.
van den Eijnden R, Koning I, Doornwaard S, van Gurp F, ter Bogt T. The impact of heavy and disordered use of games and social media on adolescents’ psychological, social, and school functioning. J Behav Addict. 2018;7:697–706.
Coyne SM, Padilla-Walker LM, Holmgren HG, Stockdale LA. Instagrowth: a longitudinal growth mixture model of social media time use across adolescence. J Res Adolesc. 2019;29:897–907.
Hamm MP, Newton AS, Chisholm A, Shulhan J, Milne A, Sundar P, et al. Prevalence and effect of cyberbullying on children and young people: a scoping review of social media studies. JAMA Pediatr. 2015;169:770–7.
Phan MH, Jardina JR, Hoyle S, Chaparro BS. Examining the Role of Gender in Video Game Usage, Preference, and Behavior. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Sage CA: Los Angeles, SAGE Publications Inc; 2012;56:1496–500.
Hale L, Guan S. Screen time and sleep among school-aged children and adolescents: a systematic literature review. Sleep Med Rev. 2015;21:50–8.
Valkenburg PM, Peter J. Online communication and adolescent well-being: testing the stimulation versus the displacement hypothesis. J Comput-Mediat Commun. 2007;12:1169–82.
Bucchianeri MM, Arikian AJ, Hannan PJ, Eisenberg ME, Neumark-Sztainer D. Body dissatisfaction from adolescence to young adulthood: findings from a 10-year longitudinal study. Body Image. 2013;10:1–7.
Stice E, Bearman SK. Body-image and eating disturbances prospectively predict increases in depressive symptoms in adolescent girls: a growth curve analysis. Dev Psychol. 2001;37:597–607.
Goldschmidt AB, Wall M, Choo T-HJ, Becker C, Neumark-Sztainer D. Shared risk factors for mood-, eating-, and weight-related health outcomes. Health Psychol. 2016;35:245–52.
Paxton SJ, Neumark-Sztainer D, Hannan PJ, Eisenberg ME. Body dissatisfaction prospectively predicts depressive mood and low self-esteem in adolescent girls and boys. J Clin Child Adolesc Psychol. 2006;35:539–49.
Siibak A. Constructing the self through the photo selection - visual impression management on social networking websites. Cyberpsychology. 2009;3 [cited 2020 Jan 3] Available from: https://cyberpsychology.eu/article/view/4218.
Espinoza G, Juvonen J. The pervasiveness, connectedness, and intrusiveness of social Network site use among young adolescents. Cyberpsychol Behav Soc Netw. 2011;14:705–9.
Chua THH, Chang L. Follow me and like my beautiful selfies: Singapore teenage girls’ engagement in self-presentation and peer comparison on social media. Comput Hum Behav. 2016;55:190–7.
Vandenbroucke S, et al. Vieillir, mais pas tout seul. Une enquête sur la solitude et l’isolement social des personnes âgées en Belgique. Fondat Roi Baudouin [Internet]. 2012; [cited 2019 Sep 17] Available from: https://cdn.uclouvain.be/public/Exports%20reddot/aisbl-generations/documents/DocPart_Etud_VieillirMaisPasToutSeul_2012.pdf.
Meier EP, Gray J. Facebook photo activity associated with body image disturbance in adolescent girls. Cyberpsychol Behav Soc Netw. 2014;17:199–206.
Fardouly J, Vartanian LR. Negative comparisons about one’s appearance mediate the relationship between Facebook usage and body image concerns. Body Image. 2015;12:82–8.
Holland G, Tiggemann M. A systematic review of the impact of the use of social networking sites on body image and disordered eating outcomes. Body Image. 2016;17:100–10.
Añez E, Fornieles-Deu A, Fauquet-Ars J, López-Guimerà G, Puntí-Vidal J, Sánchez-Carracedo D. Body image dissatisfaction, physical activity and screen-time in Spanish adolescents. J Health Psychol. 2018;23:36–47.
de Vries DA, Vossen HGM, Van der Kolk-van der Boom P. Social media and body dissatisfaction: investigating the attenuating role of positive parent–adolescent relationships. J Youth Adolesc. 2019;48:527–36.
Tiggemann M, Slater A. NetGirls: the internet, Facebook, and body image concern in adolescent girls. Int J Eat Disord. 2013;46:630–3.
Tiggemann M, Slater A. NetTweens: the internet and body image concerns in preteenage girls. J Early Adolesc SAGE Publications Inc. 2014;34:606–20.
Vandenbosch L, Eggermont S. Understanding sexual objectification: a comprehensive approach toward media exposure and girls’ internalization of beauty ideals, self-objectification, and body surveillance: media, adolescent girls, and self-objectification. J Commun. 2012;62:869–87.
de Vries DA, Peter J, de Graaf H, Nikken P. Adolescents’ social network site use, peer appearance-related feedback, and body dissatisfaction: testing a mediation model. J Youth Adolesc. 2016;45:211–24.
• Rousseau A, Eggermont S, Frison E. The reciprocal and indirect relationships between passive Facebook use, comparison on Facebook, and adolescents’ body dissatisfaction. Comput Hum Behav. 2017;73:336–44 This study examines passive use of Facebook and its association with body image concerns reciprocally. It highlights that passive use of Facebook predicts comparison which in its turn predicts more body dissatisfaction.
Tiggemann M, Slater A. Facebook and body image concern in adolescent girls: a prospective study: Facebook and body image concern. Int J Eat Disord. 2017;50:80–3.
Silverblatt A. Media Literacy: Keys to Interpreting Media Messages. Praeger; 2001.
Berel S, Irving LM. Media and disturbed eating: an analysis of media influence and implications for prevention. J Prim Prev. 1998;18:415–30.
McLean SA, Paxton SJ, Wertheim EH. Does media literacy mitigate risk for reduced body satisfaction following exposure to thin-ideal media? J Youth Adolesc. 2016;45:1678–95.
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM-5®). American Psychiatric Pub; 2013.
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Fatima Mougharbel declares that she has no conflict of interest.
Gary Goldfield declares that he has no conflict of interest.
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Mougharbel, F., Goldfield, G.S. Psychological Correlates of Sedentary Screen Time Behaviour Among Children and Adolescents: a Narrative Review. Curr Obes Rep 9, 493–511 (2020). https://doi.org/10.1007/s13679-020-00401-1