The association between screen time and mental health during COVID-19: A cross sectional study

Lee Smith, Louis Jacob, Mike Trott, Anita Yakkundi, Laurie Butler, Yvonne Barnett, Nicola C. Armstrong, Daragh McDermott, Felipe Schuch, Jacob Meyer, Rubén López-Bueno, Guillermo F.López Sánchez, Declan Bradley, Mark A. Tully

Research output: Contribution to journalLetterpeer-review

7 Citations (Scopus)

Abstract

COVID-19 was declared a global pandemic in March 2020. To prevent transmission of the SARS-CoV-2 virus on 23rd March 2020 the UK government issued guidance that all citizens should stay at home, and only leave their house for essential medical care, shopping for food and medicine and for one period of exercise (National Health Service, 2020). The impact of following the guidance on health-related behaviours is largely unknown. With people spending large periods of time indoors, screen time (e.g. watching TV, using computers, tablets etc) is likely to increase. Excessive screen time use has been shown to be associated with a range of negative mental health outcomes (Allen et al., 2019; Huang et al., 2020; Teychenne et al., 2015). Therefore, we aimed to investigate levels and correlates of screen time during COVID-19 self-isolation in a sample of the UK public, and its association with mental health. 1. Our study Participants were recruited to a cross-sectional epidemiological online survey, through social media and national media outlets. Participants were directed to a data encrypted website where they indicated their consent to participate. The survey was launched on 17th March 2020 in the United Kingdom and approved by the Anglia Ruskin University Research Ethics Committee. Participants were asked to report the time spent per day (in hours) using a screen and was dichotomized into low and high screen time using the median of responses (six hours). Mental health was measured using the Beck Anxiety Inventory (BAI) and Beck Depression Inventory (BDI). These are both 21-item questionnaires with higher BAI and BDI scores indicating more severe anxiety and depressive symptoms. The short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS) is a 7-item measure of mental well-being, lower SWEMWBS scores indicate poorer mental wellbeing. Poor mental health was defined as the presence of at least one of the following three criteria: moderate-to-severe anxiety symptoms (BAI score ≥16), moderate-to-severe depressive symptoms (BDI score ≥20) and poor mental wellbeing (SWEMWBS metric score ≤15.8). Demographic data collected, included sex, age (in 10-year age bands), marital status (single/separated/divorced/widowed or married/in a domestic partnership), employment status and annual household income (<£15,000, £15,000-<£25,000, £25,000-<£40,000, £40,000-<£60,000, ≥£60,000). Participants were also asked to indicate which of the four main UK countries they lived in (England, Northern Ireland, Scotland, Wales). Measures of health status were also included, as well as the number of days participants had been in isolation. The association between screen time per day in hours and poor mental health was studied in the overall population and in sex and age groups with adjusted logistic regression models. 2. Findings
Original languageEnglish
Article number113333
Pages (from-to)1-2
Number of pages2
JournalPsychiatry research
Volume292
Early online date25 Jul 2020
DOIs
Publication statusPublished - 1 Oct 2020

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