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Peer and social decision-making predictors of adherence to COVID-19 social distancing rules in adolescents in England

Author

Listed:
  • Bignardi, Giacomo
  • Ahmed, Saz
  • Bennett, Marc Patrick

    (University of Cambridge)

  • Dunning, Darren Lee
  • Griffiths, Kirsty
  • Sakhardande, Ashok
  • Leung, Jovita Tung

    (University College London)

  • Piera Pi-Sunyer, Blanca

    (University College London)

  • Kuyken, Willem
  • Dalgleish, Tim

Abstract

The COVID-19 pandemic prompted governments worldwide to introduce social distancing measures, including school closures and restrictions on in-person socialising. However, adherence to social distancing was challenging for many, and particularly for adolescents, for whom social interaction is crucial for development. The current study aimed to identify individual-level predictors of adherence to social distancing in a longitudinal sample of 460 adolescents aged 11-20 years. Participants completed detailed pre-pandemic assessments, including mental health and well-being, altruism, delayed reward discounting, rejection sensitivity, prosociality and susceptibility to prosocial and anti-social influence. Bayesian ordinal regression models were used to predict adherence to social distancing from predictors. The results indicated that higher levels of prosociality, altruism and lower susceptibility to anti-social influence were associated with higher adherence to social distancing. These findings have implications for understanding how adolescents comply with public health guidelines, highlighting the role of social influence and peer norms.

Suggested Citation

  • Bignardi, Giacomo & Ahmed, Saz & Bennett, Marc Patrick & Dunning, Darren Lee & Griffiths, Kirsty & Sakhardande, Ashok & Leung, Jovita Tung & Piera Pi-Sunyer, Blanca & Kuyken, Willem & Dalgleish, Tim, 2023. "Peer and social decision-making predictors of adherence to COVID-19 social distancing rules in adolescents in England," OSF Preprints k3eq6, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:k3eq6
    DOI: 10.31219/osf.io/k3eq6
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