Selected article for: "longitudinal study and lost income"

Author: Ellwardt, Lea; Präg, Patrick
Title: Heterogeneous mental health development during the COVID-19 pandemic in the United Kingdom
  • Cord-id: 10nt3sss
  • Document date: 2021_8_5
  • ID: 10nt3sss
    Snippet: The COVID-19 pandemic and the mitigation measures by governments have upended the economic and social lives of many, leading to widespread psychological distress. We explore heterogeneity in trajectories of psychological distress during the pandemic in the United Kingdom and relate this heterogeneity to socio-demographic and health factors. We analyze nine waves of longitudinal, nationally representative survey data from the UK Household Longitudinal Study ([Formula: see text] ), covering the pe
    Document: The COVID-19 pandemic and the mitigation measures by governments have upended the economic and social lives of many, leading to widespread psychological distress. We explore heterogeneity in trajectories of psychological distress during the pandemic in the United Kingdom and relate this heterogeneity to socio-demographic and health factors. We analyze nine waves of longitudinal, nationally representative survey data from the UK Household Longitudinal Study ([Formula: see text] ), covering the period from early 2020 to mid-2021. First, latent class mixture modelling is used to identify trajectories of psychological distress. Second, associations of the trajectories with covariates are tested with multinomial logistic regressions. We find four different trajectories of distress: continuously low, temporarily elevated, repeatedly elevated, and continuously elevated distress. Nearly two fifths of the population experienced severely elevated risks of distress during the pandemic. Long-term distress was highest among younger people, women, people living without a partner, those who had no work or lost income, and those with previous health conditions or COVID-19 symptoms. Given the threat of persistent stress on health, policy measures should be sensitized to the unintended yet far-reaching consequences of non-pharmaceutical interventions.

    Search related documents:
    Co phrase search for related documents
    • lockdown period and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • lockdown period and long lockdown: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • lockdown period and long term consequence: 1
    • lockdown period and long term exposure: 1, 2
    • lockdown period peak and long lockdown: 1
    • logistic regression and long lockdown: 1, 2, 3
    • logistic regression and long term exposure: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • logistic regression model and long term exposure: 1, 2
    • logit model and long term exposure: 1, 2