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Social Media Addiction during COVID-19-Mandated Physical Distancing: Relatedness Needs as Motives

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  • Cecilia Cheng

    (Department of Psychology, The University of Hong Kong, Pokfulam, Hong Kong)

  • Yan-Ching Lau

    (Division of Psychology and Language Sciences, University College London, Gower Street, London WC1E 6BT, UK)

Abstract

In the early stages of the coronavirus disease 2019 (COVID-19) pandemic, national lockdowns and stay-at-home orders were implemented by many countries to curb the rate of infection. An extended stay-at-home period can frustrate people’s need for relatedness, with many turning to social media to interact with others in the outside world. However, social media use may be maladaptive due to its associations with social media addiction and psychosocial problems. Our study was set at this special context to examine the associations among social media addiction, two aspects of relatedness needs (i.e., satisfaction and frustration), and two prominent psychosocial problems (i.e., depressive symptoms and loneliness). The participants were 1048 residents of the U.K. or U.S. (46% men, mean age = 44.10 years, SD = 12.59, age range: 18–65). The results indicated significant positive associations between relatedness need frustration and social media addiction as well as significant positive associations between social media addiction and the two types of psychosocial problems. More importantly, both of these significant associations were strong enough to partially explain the significant positive associations between relatedness need frustration and the two types of psychosocial problems. These findings provided some support for relatedness need frustration as a motivation of social media addiction.

Suggested Citation

  • Cecilia Cheng & Yan-Ching Lau, 2022. "Social Media Addiction during COVID-19-Mandated Physical Distancing: Relatedness Needs as Motives," IJERPH, MDPI, vol. 19(8), pages 1-14, April.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:8:p:4621-:d:791783
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    References listed on IDEAS

    as
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