EconPapers    
Economics at your fingertips  
 

Exploring the Frequency, Intensity, and Duration of Loneliness: A Latent Class Analysis of Data from the BBC Loneliness Experiment

Pamela Qualter, Kimberly Petersen, Manuela Barreto, Christina Victor, Claudia Hammond and Sana-Arub Arshad
Additional contact information
Pamela Qualter: Manchester Institute of Education, University of Manchester, Manchester M13 9PL, UK
Kimberly Petersen: Manchester Institute of Education, University of Manchester, Manchester M13 9PL, UK
Manuela Barreto: Psychology Department, University of Exeter, Exeter EX4 4PY, UK
Christina Victor: College of Health and Life Sciences, Brunel University, London UB8 3PH, UK
Claudia Hammond: BBC Radio 4, Broadcasting House, Portland Place, London W1A 1AA, UK
Sana-Arub Arshad: Manchester Institute of Education, University of Manchester, Manchester M13 9PL, UK

IJERPH, 2021, vol. 18, issue 22, 1-21

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.

Keywords: loneliness; latent class analysis; online survey; measurement (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.mdpi.com/1660-4601/18/22/12027/pdf (application/pdf)
https://www.mdpi.com/1660-4601/18/22/12027/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:18:y:2021:i:22:p:12027-:d:680397

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jijerp:v:18:y:2021:i:22:p:12027-:d:680397