Social Media and Depression Symptoms: A Network Perspective

Authors
  • G. Aalbers
  • R.J. McNally
  • A. Heeren
  • S. de Wit ORCID logo
Publication date 08-2019
Journal Journal of Experimental Psychology. General
Volume | Issue number 148 | 8
Pages (from-to) 1454-1462
Number of pages 9
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
  • Faculty of Social and Behavioural Sciences (FMG)
Abstract
Passive social media use (PSMU)—for example, scrolling through social media news feeds—has been associated with depression symptoms. It is unclear, however, if PSMU causes depression symptoms or vice versa. In this study, 125 students reported PSMU, depression symptoms, and stress 7 times daily for 14 days. We used multilevel vector autoregressive time-series models to estimate (a) contemporaneous, (b) temporal, and (c) between-subjects associations among these variables. (a) More time spent on PSMU was associated with higher levels of interest loss, concentration problems, fatigue, and loneliness. (b) Fatigue and loneliness predicted PSMU across time, but PSMU predicted neither depression symptoms nor stress. (c) Mean PSMU levels were positively correlated with several depression symptoms (e.g., depressed mood and feeling inferior), but these associations disappeared when controlling for all other variables. Altogether, we identified complex relations between PSMU and specific depression symptoms that warrant further research into potentially causal relationships.
Document type Article
Note With supplementary files
Language English
Published at https://doi.org/10.1037/xge0000528
Published at https://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&AN=00004785-201908000-00009&LSLINK=80&D=ovft https://scholarlypublications.universiteitleiden.nl/handle/1887/73951
Other links https://doi.org/10.1037/xge0000528
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