Replication Data for: Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study

DOI

The purpose of the dataset is to enable the replication of results as reported in the article:

Bonsaksen, T., Price, D., Lamph, G., Kabelenga, I., & Geirdal, A. Ø. (2025). Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study. PLOS ONE 20(1): e0318507. https://doi.org/10.1371/journal.pone.0318507.

The data on sleep problems, psychosocial stress and social media use is uploaded as an SPSS file. Additional information to facilitate using the data can be found in the ReadMe file.

The article aimed to explore the relationship between social media use and sleep problems in a cross-national sample two years after the pandemic began. It involved 1405 adults from four countries who completed an online survey. Statistical analyses included independent samples t-tests, Chi-Squared tests, and logistic regression. Among the 858 participants (61.1%) who reported recent sleep problems, 41.1% (353 individuals) attributed these issues to their COVID-19 experiences. Adjusting for age, gender, employment, and psychological distress showed that more hours of social media use were not significantly linked to sleep problems. However, being older, female, employed, and experiencing higher psychological distress were associated with more sleep issues.

SPSS, 27

Identifier
DOI https://doi.org/10.18710/B69ATB
Related Identifier IsCitedBy https://doi.org/10.1371/journal.pone.0318507
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/B69ATB
Provenance
Creator Bonsaksen, Tore ORCID logo; Price, Daicia ORCID logo; Lamph, Gary ORCID logo; Kabelenga, Isaac ORCID logo; Geirdal, Amy Østertun ORCID logo
Publisher DataverseNO
Contributor Bonsaksen, Tore; University of Inland Norway; Tore Bonsaksen
Publication Year 2025
Funding Reference University of Inland Norway
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Bonsaksen, Tore (University of Inland Norway)
Representation
Resource Type Survey data; Dataset
Format text/plain; text/x-fixed-field
Size 5304; 97156
Version 1.1
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Medicine; Social Sciences; Social and Behavioural Sciences; Soil Sciences
Spatial Coverage Oslo, Norway