How have people been coping during the COVID-19 pandemic? Patterns and predictors of coping strategies amongst 26,580 UK adults

Resumen

Individuals face increased psychological distress during the COVID-19 pandemic. However, it’s unknown whether choice of coping styles are influenced by COVID-19 in addition to known predictors. Data from 26,580 UK adults in the UCL COVID-19 Social Study were analysed from 12/4/2020 15/5/2020. Regression models were used to identify predictors of coping styles (problem focused, emotion-focused, avoidant, and socially-supported): model 1 included demographic and socio-economic variables, model 2 additionally included psychosocial factors, and model 3 further included experience of specific adverse worries or events. The demographic, socioeconomic, and psychosocial predictors of coping align with usual predictors of coping styles not occurring during a pandemic. However, even when controlling for the wide range of these previously known predictors specific adversities were associated with use of specific strategies. Experience of worries about finances, basic needs, and events related to Covid-19 were associated with a range of strategies, while experience of financial adversities was associated with problem-focused, emotion-focused and avoidant coping. There were no associations between coping styles and experiencing challenges in meeting basic needs, but Covid-19 related adversities were associated with a lower use of socially-supported coping. This paper demonstrates that there are not only demographic and social predictors of coping styles during the COVID-19 pandemic, but specific adversities are related to the ways that adults cope. Furthermore, this study identifies groups at risk of more avoidant coping mechanisms which may be targeted for supportive interventions.

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Cómo citar (APA 7)

Fluharty, M., & Fancourt, D. (2020). How have people been coping during the COVID-19 pandemic? Patterns and predictors of coping strategies amongst 26,580 UK adults. https://doi.org/10.31234/osf.io/nx7y5