Internet and mental health during the COVID-19 pandemic: Evidence from the UK
dc.contributor.author | Quintana-Domeque, C | |
dc.contributor.author | Zeng, J | |
dc.contributor.author | Zhang, X | |
dc.date.accessioned | 2022-11-03T12:00:08Z | |
dc.date.issued | 2022-09-07 | |
dc.date.updated | 2022-11-03T10:48:33Z | |
dc.description.abstract | With the COVID-19 pandemic, the Internet has become a key player in the daily lives of most people. We investigate the relationship between mental health and internet use frequency and purpose, six months after the first lockdown in the UK, in September 2020. Using data from the UK Household Longitudinal Study on the 12-item General Health Questionnaire and the Internet use module, and controlling for sociodemographic characteristics and personality traits, we find that older individuals (aged 59 or above) have a lower internet use frequency (twice a day or less). Younger women use the Internet for social purposes more than men do, while younger men use the Internet for leisure-and-learning purposes more than women and older men do. Interestingly, high internet use is a protective factor for social dysfunction among younger women, but a risk factor for psychological distress among younger men. While leisure-and-learning purpose is a protective factor for social dysfunction among younger women, it is a risk factor for social dysfunction among younger men. Finally, loneliness seems to play a role: higher internet frequency use is a stronger protective factor for social dysfunction among younger women who feel lonelier, but a stronger risk factor for mental health among younger men who feel lonelier. | en_GB |
dc.description.sponsorship | Economic and Social Research Council (ESRC) | en_GB |
dc.identifier.citation | Vol. 2, article odac007 | en_GB |
dc.identifier.doi | https://doi.org/10.1093/ooec/odac007 | |
dc.identifier.grantnumber | 2262255 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/131599 | |
dc.identifier | ORCID: 0000-0002-6626-6261 (Quintana-Domeque, Climent) | |
dc.language.iso | en | en_GB |
dc.publisher | Oxford University Press | en_GB |
dc.rights | © The Author(s) 2022. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. | en_GB |
dc.subject | Aging | en_GB |
dc.subject | Mental Health | en_GB |
dc.subject | Behavioral and Social Science | en_GB |
dc.subject | Clinical Research | en_GB |
dc.subject | Prevention | en_GB |
dc.subject | Mental health | en_GB |
dc.title | Internet and mental health during the COVID-19 pandemic: Evidence from the UK | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-11-03T12:00:08Z | |
dc.identifier.issn | 2752-5074 | |
dc.description | This is the final version. Available on open access from Oxford University Press via the DOI in this record | en_GB |
dc.description | Data and code availability: The research data are distributed by the UK Data Service. Researchers who would like to use Understanding Society need to register with the UK Data Service before being allowed to apply for or download datasets. For more information visit the link. The code to replicate the analysis in this paper will be publicly available from the Harvard Dataverse repository upon publication. | en_GB |
dc.identifier.journal | Oxford Open Economics | en_GB |
dc.relation.ispartof | Oxford Open Economics | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2022-08-11 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2022-09-07 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-11-03T11:55:42Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2022-11-03T12:00:19Z | |
refterms.panel | C | en_GB |
refterms.dateFirstOnline | 2022-09-07 |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's licence is described as © The Author(s) 2022. Published by Oxford University Press.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.