IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v157y2024ics0190740923006151.html
   My bibliography  Save this article

The relationship between social network site use and depression among Children: A moderated mediation model

Author

Listed:
  • Guo, Jiacheng
  • Liu, Yuxiao
  • Yang, Xiujuan
  • Cao, Min
  • Niu, Gengfeng
  • Zhou, Zongkui

Abstract

Previous research has conducted extensive work on the impact of social network site (SNS) use on depression. However, most of these studies have focused on adolescents or adults, and little is known about how SNS use affects depression among children. Based on the vulnerability model of depression, the self-system beliefs model, and the risk-buffering hypothesis, we examined whether self-esteem would mediate the relationship between SNS use and children’s depression and whether self-compassion would play a moderating role in the mediating process. The sample consisted of 386 Chinese children from grades three to six (Mage = 9.83 years, SD = 1.23; 42.5 % girls), who provided self-reported data on demographic variables, SNS use, self-esteem, depression, and self-compassion. Results indicated that after controlling for the children’s gender and age, the partial mediating role of self-esteem between SNS use and depression was significant at low levels of self-compassion, marginally significant at high levels, and non-significant at mean levels. Moreover, both the first and second stages of the indirect effects were moderated by self-compassion. Specifically, the effects of SNS use on self-esteem were negative, non-significant, and marginally positive for children with low, middle, and high self-compassion, respectively. The interaction pattern of self-esteem and self-compassion on depression fit the protective–attenuating hypothesis: the protective effect of self-compassion was stronger for children with low self-esteem. This study extends our understanding of the underlying mechanisms linking SNS use to depression among children, which has both theoretical and practical implications for interventions for children’s depressive symptoms. The limitations and theoretical and practical implications of this study are discussed.

Suggested Citation

  • Guo, Jiacheng & Liu, Yuxiao & Yang, Xiujuan & Cao, Min & Niu, Gengfeng & Zhou, Zongkui, 2024. "The relationship between social network site use and depression among Children: A moderated mediation model," Children and Youth Services Review, Elsevier, vol. 157(C).
  • Handle: RePEc:eee:cysrev:v:157:y:2024:i:c:s0190740923006151
    DOI: 10.1016/j.childyouth.2023.107419
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740923006151
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.childyouth.2023.107419?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sonia Livingstone & Peter K. Smith, 2014. "Annual research review: harms experienced by child users of online and mobile technologies: the nature, prevalence and management of sexual and aggressive risks in the digital age," LSE Research Online Documents on Economics 55691, London School of Economics and Political Science, LSE Library.
    2. Sonia Livingstone & Kjartan Ólafsson & Elisabeth Staksrud, 2013. "Risky social networking practices among ‘under-age’ users: lessons for evidence-based policy," LSE Research Online Documents on Economics 45014, London School of Economics and Political Science, LSE Library.
    3. Essie Sutton & Kimberly A. Schonert-Reichl & Amery D. Wu & Molly Stewart Lawlor, 2018. "Evaluating the Reliability and Validity of the Self-Compassion Scale Short Form Adapted for Children Ages 8–12," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(4), pages 1217-1236, August.
    4. Keith Wilcox & Andrew T. Stephen, 2013. "Are Close Friends the Enemy? Online Social Networks, Self-Esteem, and Self-Control," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(1), pages 90-103.
    5. Currie, Candace & Molcho, Michal & Boyce, William & Holstein, Bjørn & Torsheim, Torbjørn & Richter, Matthias, 2008. "Researching health inequalities in adolescents: The development of the Health Behaviour in School-Aged Children (HBSC) Family Affluence Scale," Social Science & Medicine, Elsevier, vol. 66(6), pages 1429-1436, March.
    6. Elisabeth Staksrud & Kjartan Ólafsson & Sonia Livingstone, 2013. "Does the use of social networking sites increase children’s risk of harm?," LSE Research Online Documents on Economics 45016, London School of Economics and Political Science, LSE Library.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ethel Quayle, 2016. "Researching online child sexual exploitation and abuse: are there links between online and offline vulnerabilities?," LSE Research Online Documents on Economics 71260, London School of Economics and Political Science, LSE Library.
    2. Kern, Matthias Robert & Heinz, Andreas & Stevens, Gonneke W.J.M. & Walsh, Sophie D. & Willems, Helmut, 2020. "“What's a normal weight?” – Origin and receiving country influences on weight-status assessment among 1.5 and 2nd generation immigrant adolescents in Europe," Social Science & Medicine, Elsevier, vol. 264(C).
    3. Ni Putu Ayu Wangi Diantini & Susanti & Waspodo Tjipto Subroto, 2021. "The effect of peer group, economic literacy, and use of social media on the consumption behavior of students social studies major grade XII SMAN 1 Negara in Jembrana," Technium Social Sciences Journal, Technium Science, vol. 21(1), pages 296-311, July.
    4. Nielsen, Line & Koushede, Vibeke & Vinther-Larsen, Mathilde & Bendtsen, Pernille & Ersbøll, Annette Kjær & Due, Pernille & Holstein, Bjørn E., 2015. "Does school social capital modify socioeconomic inequality in mental health? A multi-level analysis in Danish schools," Social Science & Medicine, Elsevier, vol. 140(C), pages 35-43.
    5. Tuğba Koç & Aykut Hamit Turan, 2021. "The Relationships Among Social Media Intensity, Smartphone Addiction, and Subjective Wellbeing of Turkish College Students," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(5), pages 1999-2021, October.
    6. Kim Dalziel & Max Catchpool & Borja García-Lorenzo & Inigo Gorostiza & Richard Norman & Oliver Rivero-Arias, 2020. "Feasibility, Validity and Differences in Adolescent and Adult EQ-5D-Y Health State Valuation in Australia and Spain: An Application of Best–Worst Scaling," PharmacoEconomics, Springer, vol. 38(5), pages 499-513, May.
    7. Jaroslava Voráčová & Erik Sigmund & Dagmar Sigmundová & Michal Kalman, 2016. "Family Affluence and the Eating Habits of 11- to 15-Year-Old Czech Adolescents: HBSC 2002 and 2014," IJERPH, MDPI, vol. 13(10), pages 1-11, October.
    8. Jose M. Martín-Criado & Jose A. Casas & Rosario Ortega-Ruiz, 2021. "Parental Supervision: Predictive Variables of Positive Involvement in Cyberbullying Prevention," IJERPH, MDPI, vol. 18(4), pages 1-12, February.
    9. Corominas, Mari & González-Carrasco, Mònica & Casas, Ferran, 2021. "Analyzing factors for an optimum play environment through children’s subjective well-being indicators," Children and Youth Services Review, Elsevier, vol. 122(C).
    10. Timo-Kolja Pförtner & Bart Clercq & Michela Lenzi & Alessio Vieno & Katharina Rathmann & Irene Moor & Anne Hublet & Michal Molcho & Anton Kunst & Matthias Richter, 2015. "Does the association between different dimension of social capital and adolescent smoking vary by socioeconomic status? a pooled cross-national analysis," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 60(8), pages 901-910, December.
    11. Atif Kukaswadia & Wendy Craig & Ian Janssen & William Pickett, 2012. "Bullying as a mediator of relationships between adiposity status and weapon carrying," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 57(3), pages 505-512, June.
    12. Elgar, Frank J. & De Clercq, Bart & Schnohr, Christina W. & Bird, Phillippa & Pickett, Kate E. & Torsheim, Torbjørn & Hofmann, Felix & Currie, Candace, 2013. "Absolute and relative family affluence and psychosomatic symptoms in adolescents," Social Science & Medicine, Elsevier, vol. 91(C), pages 25-31.
    13. Yekaterina Chzhen & Irene Moor & William Pickett & Emilia Toczydlowska & Gonneke Stevens & UNICEF Innocenti Research Centre, 2016. "Family Affluence and Inequality in Adolescent Health and Life Satisfaction: Evidence from the HBSC study 2002-2014," Papers inwopa836, Innocenti Working Papers.
    14. De Clercq, B. & Vyncke, V. & Hublet, A. & Elgar, F.J. & Ravens-Sieberer, U. & Currie, C. & Hooghe, M. & Ieven, A. & Maes, L., 2012. "Social capital and social inequality in adolescents’ health in 601 Flemish communities: A multilevel analysis," Social Science & Medicine, Elsevier, vol. 74(2), pages 202-210.
    15. Vander Ploeg, Kerry A. & Maximova, Katerina & McGavock, Jonathan & Davis, Wendy & Veugelers, Paul, 2014. "Do school-based physical activity interventions increase or reduce inequalities in health?," Social Science & Medicine, Elsevier, vol. 112(C), pages 80-87.
    16. Chang, Hsin Hsin & Wong, Kit Hong & Shen, Yi An, 2022. "Effects of the consumer socialization process on content sharing on SNSs: Social comparison and anticipated emotions as moderators," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    17. Marta Malinowska-Cieślik & Joanna Mazur & Hanna Nałęcz & Agnieszka Małkowska-Szkutnik, 2019. "Social and Behavioral Predictors of Adolescents’ Positive Attitude towards Life and Self," IJERPH, MDPI, vol. 16(22), pages 1-13, November.
    18. Schulz, Jan & Mayerhoffer, Daniel M., 2021. "A network approach to consumption," BERG Working Paper Series 173, Bamberg University, Bamberg Economic Research Group.
    19. Reiss, Franziska, 2013. "Socioeconomic inequalities and mental health problems in children and adolescents: A systematic review," Social Science & Medicine, Elsevier, vol. 90(C), pages 24-31.
    20. Michael Mu, Guanglun, 2024. "Groupings between floating children and urban children: A Bourdieusian social network analysis of physical and social distance in space," Children and Youth Services Review, Elsevier, vol. 159(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:cysrev:v:157:y:2024:i:c:s0190740923006151. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/childyouth .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.