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ABSTRACT: Aim/goal/purpose
Population surveys underrepresent people with severe mental ill health. This paper aims to use multiple regression analyses to explore perceived social support, loneliness and factor associations from self-report survey data collected during the Covid-19 pandemic in a sample of individuals with severe mental ill health.Design/methodology/approach
We sampled an already existing cohort of people with severe mental ill health. Researchers contacted participants by phone or by post to invite them to take part in a survey about how the pandemic restrictions had impacted health, Covid-19 experiences, perceived social support, employment and loneliness. Loneliness was measured by the three item UCLA loneliness scale.Findings
In the pandemic sub-cohort, 367
SUBMITTER: Heron P
PROVIDER: S-EPMC8757957 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature