Loneliness during a strict lockdown: Trajectories and predictors during the COVID-19 pandemic in 38,217 United Kingdom adults

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. The current study aimed to exam...

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Vydané v:	Social science & medicine (1982) Ročník 265; s. 113521
Hlavní autori:	Bu, Feifei, Steptoe, Andrew, Fancourt, Daisy
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Elsevier Ltd 01.11.2020 Pergamon Press Inc Pergamon
Predmet:	Adolescent Adult Adults Age Factors Aged Classes Clustering Communicable Disease Control - statistics & numerical data Coronavirus Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - psychology Ethnicity Female Friendship Humans Lockdown Loneliness Loneliness - psychology Longitudinal Low income groups Male Mental health Mental Health - statistics & numerical data Middle Aged Pandemics Public health Residence Characteristics Risk factors Rural areas Rural communities SARS-CoV-2 Sex Factors Social factor Social Support Socioeconomic Factors Trajectory United Kingdom - epidemiology Women Young Adult Young adults United Kingdom United Kingdom > UK COVID-19 Lockdown Longitudinal Coronavirus Mental health Loneliness Social factor Trajectory
ISSN:	0277-9536, 1873-5347, 1873-5347
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Popis
Shrnutí:	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. 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. 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. 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. 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. •Our analyses revealed four distinctive latent classes of loneliness trajectories.•During the seven weeks of strict lockdown, loneliness levels were relatively stable.•There is a slight increase in the highest loneliness class and decrease in the lowest class.•A range of demographic, health, and social factors were related to latent classes.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ISSN:	0277-9536 1873-5347 1873-5347
DOI:	10.1016/j.socscimed.2020.113521