The Relationship Between Social Media Addiction, Depression, Stress, and Anxiety: A Meta-Analysis.
Creators
- 1. Postgraduate Course on the Science of Stress and Health Promotion, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
- 2. National and Kapodistrian University of Athens
- 3. Department of Primary Care and Population Health, University of Nicosia Medical School, Nicosia, Cyprus.
- 4. Postgraduate Course on the Science of Stress and Health Promotion, Center for Adolescent Medicine and UNESCO Chair in Adolescent Health Care, First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece. fbacopoulou@med.uoa.g.
- 5. Aghia Sophia Children's Hospital, Athens, Greece. fbacopoulou@med.uoa.g.
- 6. Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural University of Athens, Athens, Greece.
- 7. Aghia Sophia Children's Hospital, Athens, Greece.
- 8. University Research Institute of Maternal and Child Health & Precision Medicine, and UNESCO Chair in Adolescent Health Care, National and Kapodistrian University of Athens, Athens, Greece.
Description
The aim of this meta-analysis was to summarize the most recent data about the association between Problematic Social Networking sites use (PSNSU) and depression and anxiety. Moreover, to further extent the literature, we examined the relationship between PSNSU and stress. PubMed/Medline and Scopus were searched from March 2016 to January 2022 to retrieve studies that evaluated the relationship between SNSs addiction and depression, anxiety, and stress. Moderator analyses (meta-regression and subgroup analyses for continuous and categorical variables, respectively) were used to examine variability across studies. Thirty-eight studies (pooled N=29,944; 63.1% females, Mage 21.8, range: 10.4-50.1 years) were eligible. Results of random effects meta-analysis confirmed a positive correlation between SNSs addiction and depression (r = 0.30, 95%CI [0.26-0.33]), stress (r = 0.29, 95%CI [0.21-0.36]), and anxiety (r = 0.30, 95%CI [0.26-0.34]; corrected correlation for publication bias r = 0.22, 95%CI [0.17-0.27]). Subgroup analysis revealed that the aforementioned correlations were significantly larger for Western countries (Europe and North America) than Asian countries. For the relationship between SNS addiction and depression, meta-regression analysis showed that the correlation was weaker for samples with a higher percentage of females (k = 30) (β = -0.32, p = 0.006), accounting for 25.77% of the heterogeneity. Regarding the effect sizes resulting by the present study, they can be considered as weak to moderate. Future studies should focus on longitudinal designs to establish directionality between PSNSU and psychiatric symptoms, as well as prevention strategies and randomized controlled interventions with respect to demographic and cultural factors.
Publication Details
Journal article
Journal:
Advances in experimental medicine and biology
Publisher:
Springer Nature Switzerland
ISSN:
00652598
Volume:
1487
Pages:
275-295
References
Soraci P, Ferrari A, Barberis N et al (2020) Psychometric analysis and validatio...
Read more
Seabrook EM, Kern ML, Rickard NS (2016) Social networking sites, depression, and...
Read more
Bibi A, Lin M, Zhang XC, Margraf J (2020) Psychometric properties and measuremen...
Read more
Wang P, Lei L, Yu G, Li B (2020) Social networking sites addiction and materiali...
Read more
Duval S, Tweedie R (2000) A nonparametric \u201cTrim and Fill\u201d method of ac...
Read more
Showing first 5 of 96 references.
MeSH Terms
MeSH (Medical Subject Headings) is the NLM controlled vocabulary for indexing biomedical articles.
Click any term to view its definition and hierarchy.