Cited by 84COVID-19 and Mental HealthCommunication and COVID-19 ImpactImpact of Technology on Adolescents

The Relationship between Social Media Use, Stress Symptoms and Burden Caused by Coronavirus (COVID-19) in Germany and Italy: A Cross-Sectional and Longitudinal Investigation

Open access
Brailovskaia, J., Cosci, F., Mansueto, G., Margraf, J.·2021·Journal of Affective Disorders Reports

Abstract

Introduction: The need for "social distancing" to reduce the spread of Covid-19 is accompanied by an increase of social media use (SMU). Many people engage in intensive online activity to find information about the current Covid-19 situation and to interact about it with other users. The present study investigated the extent of SMU as Covid-19 information source and its relationship with stress symptoms and burden caused by the pandemic in Germany and Italy. Methods: = 951) data on Covid-19 information sources, stress symptoms and burden caused by Covid-19 were collected via online surveys. Results: About 50% of the German sample and about 60% of the Italian sample frequently used SM as Covid-19 information source. Cross-sectional analyses in both countries revealed that SMU is positively associated with stress symptoms and experienced burden. Moreover, stress symptoms mediated the link between SMU and burden. This was also confirmed by longitudinal analyses in Germany (burden assessed three months after SMU and stress symptoms). Limitations: The mostly female and relatively young sample composition limits the generalizability of present findings. Only two European countries were investigated. Conclusions: The present findings reveal a potential negative impact of enhanced SMU on individual mental health state and behavior. Additionally, they emphasize the significance of a conscious and cautious use of SM as information source specifically during the pandemic.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jadr.2020.100067

Cites

40 of 40 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

4 of the 44 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Brailovskaia, J., Cosci, F., Mansueto, G., & Margraf, J.
Affiliations
  • Ruhr University Bochum (DE)
  • University of Florence (IT)
Corresponding author
Brailovskaia, J.
Venue
Journal of Affective Disorders Reports
Publisher
Elsevier BV
Published
2021-01
Volume
3
Pages
100067
ISSN
2666-9153 (ISSN-L)
OpenAlex
W3119575892
Cited by
84
References
44
Citations by year
2026: 7 · 2025: 9 · 2024: 10 · 2023: 21 · 2022: 19 · 2021: 18
FWCI
11.60
Type
journal article
Language
en
Open access
Locations
  • Journal of Affective Disorders Reports (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Florence Research (University of Florence) (submittedVersion, cc-by-nc-nd)
Topics
  • Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
  • Social Sciences › Communication › Communication and COVID-19 Impact
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Keywords
social media use, COVID-19 pandemic, stress symptoms, psychological burden, COVID-19 information sources, social distancing, mental health, mediation, Germany, Italy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review