About: Who is lonely in lockdown? Cross-cohort analyses of predictors of loneliness before and during the COVID-19 pandemic

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About: Who is lonely in lockdown? Cross-cohort analyses of predictors of loneliness before and during the COVID-19 pandemic Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Who is lonely in lockdown? Cross-cohort analyses of predictors of loneliness before and during the COVID-19 pandemic
Creator	Bu, F Fancourt, D Steptoe, A
Source	Elsevier; Medline; PMC
abstract	BACKGROUND: There are concerns internationally that lockdown measures taken during the coronavirus disease 2019 (COVID-19) pandemic could lead to a rise in loneliness. As loneliness is recognised as a major public health concern, it is therefore vital that research considers the impact of the current COVID-19 pandemic on loneliness to provide necessary support. But it remains unclear, who is lonely in lockdown? METHODS: This study compared sociodemographic predictors of loneliness before and during the COVID-19 pandemic using cross-cohort analyses of data from UK adults captured before the pandemic (UK Household Longitudinal Study, n = 31,064) and during the pandemic (UCL (University College London) COVID-19 Social Study, n = 60,341). RESULTS: Risk factors for loneliness were near identical before and during the pandemic. Young adults, women, people with lower education or income, the economically inactive, people living alone and urban residents had a higher risk of being lonely. Some people who were already at risk of being lonely (e.g. young adults aged 18–30 years, people with low household income and adults living alone) experienced a heightened risk during the COVID-19 pandemic compared with people living before COVID-19 emerged. Furthermore, being a student emerged as a higher risk factor during lockdown than usual. CONCLUSIONS: Findings suggest that interventions to reduce or prevent loneliness during COVID-19 should be targeted at those sociodemographic groups already identified as high risk in previous research. These groups are likely not just to experience loneliness during the pandemic but potentially to have an even higher risk than normal of experiencing loneliness relative to low-risk groups.
has issue date	2020-08-05(xsd:dateTime)
bibo:doi	10.1016/j.puhe.2020.06.036
bibo:pmid	32768621
has license	no-cc
sha1sum (hex)	a73f890d8821c3735086fc1da0c827ca918a4ea0
schema:url	https://doi.org/10.1016/j.puhe.2020.06.036
resource representing a document's title	Who is lonely in lockdown? Cross-cohort analyses of predictors of loneliness before and during the COVID-19 pandemic
has PubMed Central identifier	PMC7405905
has PubMed identifier	32768621
schema:publication	Public Health
resource representing a document's body	covid:a73f890d8821c3735086fc1da0c827ca918a4ea0#body_text
is schema:about of	named entity 'adults' named entity 'risk' named entity 'Some people' named entity 'LOW' named entity 'WOMEN' named entity 'PANDEMIC' named entity 'TARGETED' named entity 'SUGGEST' named entity 'INCOME' named entity 'HIGHER' named entity 'PEOPLE' named entity 'ADULTS' named entity 'IDENTICAL' named entity 'LOWER' named entity 'relative' named entity 'Young' named entity 'pandemic' named entity 'risk' named entity 'compared' named entity 'living' named entity 'young adults' named entity 'experienced' named entity 'reduce' named entity 'higher risk' named entity 'prevent' named entity 'Likert scale' named entity 'ethnicity' named entity 'ethnic minority' named entity 'higher risk' named entity 'risk factors' named entity 'regression models' named entity 'low income' named entity 'social relationships' named entity 'social interactions' named entity 'non-adherence' named entity 'COVID-19 pandemic' named entity 'COVID-19 pandemic' named entity 'social isolation' named entity 'physical health' named entity 'confidence intervals' named entity 'cognitive decline' named entity 'risk factors' named entity 'Office for National Statistics' named entity 'urban areas' named entity 'sample size' named entity 'socio-economic status' named entity 'suicidal behaviour' named entity 'emotional and social support' named entity 'UCLA' named entity 'Descriptive statistics' named entity 'Spain' named entity 'mental illness' named entity 'mental illness' named entity 'panel study' named entity 'UK lockdown' named entity 'Preliminary research' named entity 'vaccine' named entity 'risk factor' named entity 'COVID' named entity 'A-levels' named entity 'risk factors' named entity 'COVID-19' named entity 'UCLA' named entity 'public health' named entity 'Texas' named entity 'public health' named entity 'social distancing' named entity 'all-cause mortality' named entity 'data collection' named entity 'data collected' named entity 'COVID-19 pandemic in the UK' named entity 'health research' named entity 'risk factors' named entity 'cross-sectional' named entity 'risk factors' named entity 'older adults' named entity 'physical illness' named entity 'risk factors' named entity 'University of California, Los Angeles'

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