Loneliness during a strict lockdown: Trajectories and predictors during the COVID-19 pandemic in 38,217 United Kingdom adults.
Identifieur interne : 000A09 ( Main/Corpus ); précédent : 000A08; suivant : 000A10Loneliness during a strict lockdown: Trajectories and predictors during the COVID-19 pandemic in 38,217 United Kingdom adults.
Auteurs : Feifei Bu ; Andrew Steptoe ; Daisy FancourtSource :
- Social science & medicine (1982) [ 1873-5347 ] ; 2020.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Age Factors (MeSH), Aged (MeSH), COVID-19 (epidemiology), COVID-19 (psychology), Communicable Disease Control (statistics & numerical data), Female (MeSH), Humans (MeSH), Loneliness (psychology), Male (MeSH), Mental Health (statistics & numerical data), Middle Aged (MeSH), Pandemics (MeSH), Residence Characteristics (MeSH), SARS-CoV-2 (MeSH), Sex Factors (MeSH), Social Support (MeSH), Socioeconomic Factors (MeSH), United Kingdom (epidemiology), Young Adult (MeSH).
- MESH :
- geographic , epidemiology : United Kingdom.
- epidemiology : COVID-19.
- psychology : COVID-19, Loneliness.
- statistics & numerical data : Communicable Disease Control, Mental Health.
- Adolescent, Adult, Age Factors, Aged, Female, Humans, Male, Middle Aged, Pandemics, Residence Characteristics, SARS-CoV-2, Sex Factors, Social Support, Socioeconomic Factors, Young Adult.
Abstract
RATIONALE
There are increasing worries that lockdowns and 'stay-at-home' orders due to the COVID-19 pandemic could lead to a rise in loneliness, which is recognised as a major public health concern. But profiles of loneliness during the pandemic and risk factors remain unclear.
OBJECTIVE
The current study aimed to examine if and how loneliness levels changed during the strict lockdown and to explore the clustering of loneliness growth trajectories.
METHODS
Data from 38,217 UK adults in the UCL COVID -19 Social Study (a panel study collecting data weekly during the pandemic) were analysed during the strict lockdown period in the UK (23/03/2020-10/05/2020). The sample was well-stratified and weighted to population proportions of gender, age, ethnicity, education and geographical location. Growth mixture modelling was used to identify the latent classes of loneliness growth trajectories and their predictors.
RESULTS
Analyses revealed four classes, with the baseline loneliness level ranging from low to high. In the first a few weeks of lockdown, loneliness levels increased in the highest loneliness group, decreased in the lowest loneliness group, and stayed relatively constant in the middle two groups. Younger adults (OR = 2.17-6.81), women (OR = 1.59), people with low income (OR = 1.3), the economically inactive (OR = 1.3-2.04) and people with mental health conditions (OR = 5.32) were more likely to be in highest loneliness class relative to the lowest. Further, living with others or in a rural area, and having more close friends or greater social support were protective.
CONCLUSIONS
Perceived levels of loneliness under strict lockdown measures due to COVID-19 were relatively stable in the UK, but for many people these levels were high with no signs of improvement. Results suggest that more efforts are needed to address loneliness.
DOI: 10.1016/j.socscimed.2020.113521
PubMed: 33257177
PubMed Central: PMC7768183
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Electronic address: d.fancourt@ucl.ac.uk.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Social science & medicine (1982)</title><idno type="eISSN">1873-5347</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Adult (MeSH)</term><term>Age Factors (MeSH)</term><term>Aged (MeSH)</term><term>COVID-19 (epidemiology)</term><term>COVID-19 (psychology)</term><term>Communicable Disease Control (statistics & numerical data)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Loneliness (psychology)</term><term>Male (MeSH)</term><term>Mental Health (statistics & numerical data)</term><term>Middle Aged (MeSH)</term><term>Pandemics (MeSH)</term><term>Residence Characteristics (MeSH)</term><term>SARS-CoV-2 (MeSH)</term><term>Sex Factors (MeSH)</term><term>Social Support (MeSH)</term><term>Socioeconomic Factors (MeSH)</term><term>United Kingdom (epidemiology)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>United Kingdom</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>COVID-19</term></keywords><keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>COVID-19</term><term>Loneliness</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Communicable Disease Control</term><term>Mental Health</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Factors</term><term>Aged</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Residence Characteristics</term><term>SARS-CoV-2</term><term>Sex Factors</term><term>Social Support</term><term>Socioeconomic Factors</term><term>Young Adult</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>RATIONALE</b></p><p>There are increasing worries that lockdowns and 'stay-at-home' orders due to the COVID-19 pandemic could lead to a rise in loneliness, which is recognised as a major public health concern. But profiles of loneliness during the pandemic and risk factors remain unclear.</p></div><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b></p><p>The current study aimed to examine if and how loneliness levels changed during the strict lockdown and to explore the clustering of loneliness growth trajectories.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>Data from 38,217 UK adults in the UCL COVID -19 Social Study (a panel study collecting data weekly during the pandemic) were analysed during the strict lockdown period in the UK (23/03/2020-10/05/2020). The sample was well-stratified and weighted to population proportions of gender, age, ethnicity, education and geographical location. Growth mixture modelling was used to identify the latent classes of loneliness growth trajectories and their predictors.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Analyses revealed four classes, with the baseline loneliness level ranging from low to high. In the first a few weeks of lockdown, loneliness levels increased in the highest loneliness group, decreased in the lowest loneliness group, and stayed relatively constant in the middle two groups. Younger adults (OR = 2.17-6.81), women (OR = 1.59), people with low income (OR = 1.3), the economically inactive (OR = 1.3-2.04) and people with mental health conditions (OR = 5.32) were more likely to be in highest loneliness class relative to the lowest. Further, living with others or in a rural area, and having more close friends or greater social support were protective.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>Perceived levels of loneliness under strict lockdown measures due to COVID-19 were relatively stable in the UK, but for many people these levels were high with no signs of improvement. Results suggest that more efforts are needed to address loneliness.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">33257177</PMID><DateCompleted><Year>2021</Year><Month>01</Month><Day>08</Day></DateCompleted><DateRevised><Year>2021</Year><Month>01</Month><Day>10</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1873-5347</ISSN><JournalIssue CitedMedium="Internet"><Volume>265</Volume><PubDate><Year>2020</Year><Month>11</Month></PubDate></JournalIssue><Title>Social science & medicine (1982)</Title><ISOAbbreviation>Soc Sci Med</ISOAbbreviation></Journal><ArticleTitle>Loneliness during a strict lockdown: Trajectories and predictors during the COVID-19 pandemic in 38,217 United Kingdom adults.</ArticleTitle><Pagination><MedlinePgn>113521</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0277-9536(20)30740-1</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.socscimed.2020.113521</ELocationID><Abstract><AbstractText Label="RATIONALE">There are increasing worries that lockdowns and 'stay-at-home' orders due to the COVID-19 pandemic could lead to a rise in loneliness, which is recognised as a major public health concern. But profiles of loneliness during the pandemic and risk factors remain unclear.</AbstractText><AbstractText Label="OBJECTIVE">The current study aimed to examine if and how loneliness levels changed during the strict lockdown and to explore the clustering of loneliness growth trajectories.</AbstractText><AbstractText Label="METHODS">Data from 38,217 UK adults in the UCL COVID -19 Social Study (a panel study collecting data weekly during the pandemic) were analysed during the strict lockdown period in the UK (23/03/2020-10/05/2020). The sample was well-stratified and weighted to population proportions of gender, age, ethnicity, education and geographical location. Growth mixture modelling was used to identify the latent classes of loneliness growth trajectories and their predictors.</AbstractText><AbstractText Label="RESULTS">Analyses revealed four classes, with the baseline loneliness level ranging from low to high. In the first a few weeks of lockdown, loneliness levels increased in the highest loneliness group, decreased in the lowest loneliness group, and stayed relatively constant in the middle two groups. Younger adults (OR = 2.17-6.81), women (OR = 1.59), people with low income (OR = 1.3), the economically inactive (OR = 1.3-2.04) and people with mental health conditions (OR = 5.32) were more likely to be in highest loneliness class relative to the lowest. Further, living with others or in a rural area, and having more close friends or greater social support were protective.</AbstractText><AbstractText Label="CONCLUSIONS">Perceived levels of loneliness under strict lockdown measures due to COVID-19 were relatively stable in the UK, but for many people these levels were high with no signs of improvement. Results suggest that more efforts are needed to address loneliness.</AbstractText><CopyrightInformation>Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Bu</LastName><ForeName>Feifei</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Department of Behavioural Science and Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Steptoe</LastName><ForeName>Andrew</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Behavioural Science and Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fancourt</LastName><ForeName>Daisy</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Department of Behavioural Science and Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK. 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