Correlates of symptoms of anxiety and depression and mental wellbeing associated with COVID-19: a cross-sectional study of UK-based respondents.

Autor: Smith L; The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, UK. Electronic address: Lee.Smith@anglia.ac.uk., Jacob L; Parc Sanitari Sant Joan de Déu, CIBERSAM, Dr Antoni Pujadas, 42, Sant Boi de Llobregat, Barcelona 08830, Spain., Yakkundi A; Northern Ireland Public Health Research Network, School of Health Sciences, Ulster University, Newtownabbey, UK., McDermott D; School of Psychology and Sport Science, Anglia Ruskin University, Cambridge, UK., Armstrong NC; HSC R&D Division, Public Health Agency (Northern Ireland), Belfast, UK., Barnett Y; Anglia Ruskin University, Cambridge, UK., López-Sánchez GF; Faculty of Sport Sciences, University of Murcia, Spain., Martin S; School of Health Sciences, Ulster University, Newtownabbey, UK., Butler L; Faculty of Science and Engineering, Anglia Ruskin., Tully MA; Institute of Mental Health Sciences, School of Health Sciences, Ulster University, Newtownabbey, UK. Electronic address: m.tully@ulster.ac.uk.
Jazyk: angličtina
Zdroj: Psychiatry research [Psychiatry Res] 2020 Sep; Vol. 291, pp. 113138. Date of Electronic Publication: 2020 May 29.
DOI: 10.1016/j.psychres.2020.113138
Abstrakt: Background: The aim was to assess the impact of COVID-19 self-isolation/social distancing on mental health, and potential correlates, among a sample of the UK population.
Methods: A cross-sectional study. Mental health was measured using the Beck Anxiety and Depression Inventory. Mental wellbeing was measured using The Short Warwick-Edinburgh Mental Well-being Scale. Data collected on predictors included sex, age, marital status, employment, annual income, region, current smoking, current alcohol consumption, physical multimorbidity, any physical symptoms experienced during self-isolation/social distancing, and the number of days of self-isolation/social distancing. The association between potential predictors and poor mental health was studied using a multivariable logistic regression.
Results: 932 participants were included. Factors associated with poor mental health were sex (reference: male; female: OR=1.89, 95%CI=1.34-2.68), age (18-24 years: reference;45-54 years: OR=0.27, 95%CI=0.14-0.53; 55-64 years: OR=0.24, 95%CI=0.12-0.47; 65-74years: OR=0.10, 95% CI=0.05-0.22; and ≥75years: OR=0.08,95% CI=0.03-0.24),annual income (<£15,000: reference; £25,000-<£40,000: OR=0.54, 95% CI=0.31-0.93; £40,000-<£60,000: OR=0.39, 95% CI=0.22-0.69; and ≥£60,000: OR=0.38, 95% CI=0.21-0.67), current smoking (yes: OR=2.59, 95%CI=1.62-4.20), and physical multimorbidity (OR=2.35, 95%CI=1.61-3.46).
Conclusions: In this sample of UK adults self-isolating/social distancing females, younger age groups, those with a lower annual income, current smokers and those with physical multimorbidity were associated with higher levels of poor mental health.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2020 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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