Exploring the Frequency, Intensity, and Duration of Loneliness: A Latent Class Analysis of Data from the BBC Loneliness Experiment
dc.contributor.author | Qualter, P | |
dc.contributor.author | Petersen, K | |
dc.contributor.author | Barreto, M | |
dc.contributor.author | Victor, C | |
dc.contributor.author | Hammond, C | |
dc.contributor.author | Arshad, S-A | |
dc.date.accessioned | 2023-01-30T14:52:21Z | |
dc.date.issued | 2021-11-16 | |
dc.date.updated | 2023-01-30T13:56:47Z | |
dc.description.abstract | Almost all measures of loneliness have been developed without discussing how to best conceptualize and assess the severity of loneliness. In the current study, we adapted the four-item UCLA, so that it continued to measure frequency of loneliness, but also assessed intensity and duration, providing a measure of other aspects of loneliness severity. Using data from participants resident in the UK who completed the BBC Loneliness Experiment (N = 36,767; F = 69.6%) and Latent Class Profile Analyses, we identified four groups of people who scored high on loneliness on at least one of the three severity measures. Duration of loneliness often over months or years seemed to be particularly important in distinguishing groups. Further, group membership was predicted by important demographic and psychological variables. We discuss the findings in terms of implications for research and practice. We highlight the need to explore these profiles longitudinally to investigate how membership predicts later mental and physical health, and well-being. | en_GB |
dc.description.sponsorship | Wellcome Trust | en_GB |
dc.format.extent | 12027- | |
dc.format.medium | Electronic | |
dc.identifier.citation | Vol. 18(22), article 12027 | en_GB |
dc.identifier.doi | https://doi.org/10.3390/ijerph182212027 | |
dc.identifier.grantnumber | 209625/Z/17/Z | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/132373 | |
dc.identifier | ORCID: 0000-0002-6973-7233 (Barreto, Manuela) | |
dc.identifier | ScopusID: 7004455398 (Barreto, Manuela) | |
dc.identifier | ResearcherID: AAP-2496-2020 (Barreto, Manuela) | |
dc.language.iso | en | en_GB |
dc.publisher | MDPI | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/34831780 | en_GB |
dc.rights | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | en_GB |
dc.subject | latent class analysis | en_GB |
dc.subject | loneliness | en_GB |
dc.subject | measurement | en_GB |
dc.subject | online survey | en_GB |
dc.subject | Humans | en_GB |
dc.subject | Latent Class Analysis | en_GB |
dc.subject | Loneliness | en_GB |
dc.title | Exploring the Frequency, Intensity, and Duration of Loneliness: A Latent Class Analysis of Data from the BBC Loneliness Experiment | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2023-01-30T14:52:21Z | |
dc.identifier.issn | 1661-7827 | |
exeter.article-number | ARTN 12027 | |
exeter.place-of-publication | Switzerland | |
dc.description | This is the final version. Available on open access from MDPI via the DOI in this record | en_GB |
dc.description | Data Availability Statement: These data are available upon request from the corresponding author. | en_GB |
dc.identifier.eissn | 1660-4601 | |
dc.identifier.journal | International Journal of Environmental Research and Public Health | en_GB |
dc.relation.ispartof | Int J Environ Res Public Health, 18(22) | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2021-11-12 | |
dc.rights.license | CC BY | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2021-11-16 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2023-01-30T13:56:49Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2023-01-30T14:52:27Z | |
refterms.panel | A | en_GB |
refterms.dateFirstOnline | 2021-11-16 |
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Except where otherwise noted, this item's licence is described as © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).