Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164039
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCarollo, Alessandroen_US
dc.contributor.authorBizzego, Andreaen_US
dc.contributor.authorGabrieli, Giulioen_US
dc.contributor.authorWong, Keri Ka-Yeeen_US
dc.contributor.authorRaine, Adrianen_US
dc.contributor.authorEsposito, Gianlucaen_US
dc.date.accessioned2023-01-03T06:08:23Z-
dc.date.available2023-01-03T06:08:23Z-
dc.date.issued2021-
dc.identifier.citationCarollo, A., Bizzego, A., Gabrieli, G., Wong, K. K., Raine, A. & Esposito, G. (2021). I'm alone but not lonely. U-shaped pattern of self-perceived loneliness during the COVID-19 pandemic in the UK and Greece. Public Health in Practice, 2, 100219-. https://dx.doi.org/10.1016/j.puhip.2021.100219en_US
dc.identifier.issn2666-5352en_US
dc.identifier.urihttps://hdl.handle.net/10356/164039-
dc.description.abstractObjectives: In the past months, many countries have adopted varying degrees of lockdown restrictions to control the spread of the COVID-19 virus. According to the existing literature, some consequences of lockdown restrictions on people’s lives are beginning to emerge yet the evolution of such consequences in relation to the time spent in lockdown is understudied. To inform policies involving lockdown restrictions, this study adopted a data-driven Machine Learning approach to uncover the short-term time-related effects of lockdown on people’s physical and mental health. Study design: An online questionnaire was launched on 17 April 2020, distributed through convenience sampling and was self-completed by 2,276 people from 66 different countries. Methods: Focusing on the UK sample (N = 325), 12 aggregated variables representing the participant’s living environment, physical and mental health were used to train a RandomForest model to estimate the week of survey completion. Results: Using an index of importance, Self-Perceived Loneliness was identified as the most influential variable for estimating the time spent in lockdown. A significant U-shaped curve emerged for loneliness levels, with lower scores reported by participants who took part in the study during the 6th lockdown week (p = 0.009). The same pattern was replicated in the Greek sample (N = 137) for week 4 (p = 0.012) and 6 (p = 0.009) of lockdown. Conclusions: From the trained Machine Learning model and the subsequent statistical analysis, Self-Perceived Loneliness varied across time in lockdown in the UK and Greek populations, with lower symptoms reported during the 4th and 6th lockdown weeks. This supports the dissociation between social support and loneliness, and suggests that social support strategies could be effective even in times of social isolation.en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.language.isoenen_US
dc.relation.ispartofPublic Health in Practiceen_US
dc.rights© 2021 The Authors. Published by Elsevier Ltd on behalf of The Royal Society for Public Health. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.subjectSocial sciences::Psychologyen_US
dc.subjectScience::Medicineen_US
dc.titleI'm alone but not lonely. U-shaped pattern of self-perceived loneliness during the COVID-19 pandemic in the UK and Greeceen_US
dc.typeJournal Articleen
dc.contributor.schoolLee Kong Chian School of Medicine (LKCMedicine)en_US
dc.contributor.schoolSchool of Social Sciencesen_US
dc.identifier.doi10.1016/j.puhip.2021.100219-
dc.description.versionPublished versionen_US
dc.identifier.pmid34870253-
dc.identifier.scopus2-s2.0-85120310856-
dc.identifier.volume2en_US
dc.identifier.spage100219en_US
dc.subject.keywordsMachine Learningen_US
dc.subject.keywordsCOVID-19en_US
dc.description.acknowledgementThis research is supported by Nanyang Technological University (Singapore) under the NAP-SUG grant to GE.en_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:LKCMedicine Journal Articles
SSS Journal Articles
Files in This Item:
File Description SizeFormat 
1-s2.0-S2666535221001440-main.pdf1.63 MBAdobe PDFThumbnail
View/Open

SCOPUSTM   
Citations 50

4
Updated on Mar 24, 2024

Page view(s)

108
Updated on Mar 27, 2024

Download(s)

26
Updated on Mar 27, 2024

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.