TY - JOUR
T1 - Delay discounting and under-valuing of recent information predict poorer adherence to social distancing measures during the COVID-19 pandemic
AU - Lloyd, Alex
AU - McKay, Ryan
AU - Hartman, Todd K.
AU - Vincent, Benjamin T.
AU - Murphy, Jamie
AU - Gibson-Miller, Jilly
AU - Levita, Liat
AU - Bennett, Kate
AU - McBride, Orla
AU - Martinez, Anton P.
AU - Stocks, Thomas V. A.
AU - Vallières, Frédérique
AU - Hyland, Philip
AU - Karatzias, Thanos
AU - Butter, Sarah
AU - Shevlin, Mark
AU - Bentall, Richard P.
AU - Mason, Liam
N1 - Funding Information:
The research was supported by the ESRC under grant number ES/V004379/1 and awarded to RPB, TKH, LL, JG-M, MS, JM, OM, KB and LM. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/9/28
Y1 - 2021/9/28
N2 - The COVID-19 pandemic has brought about unprecedented global changes in individual and collective behaviour. To reduce the spread of the virus, public health bodies have promoted social distancing measures while attempting to mitigate their mental health consequences. The current study aimed to identify cognitive predictors of social distancing adherence and mental health symptoms, using computational models derived from delay discounting (the preference for smaller, immediate rewards over larger, delayed rewards) and patch foraging (the ability to trade-off between exploiting a known resource and exploring an unknown one). In a representative sample of the UK population (N = 442), we find that steeper delay discounting predicted poorer adherence to social distancing measures and greater sensitivity to reward magnitude during delay discounting predicted higher levels of anxiety symptoms. Furthermore, under-valuing recently sampled information during foraging independently predicted greater violation of lockdown guidance. Our results suggest that those who show greater discounting of delayed rewards struggle to maintain social distancing. Further, those who adapt faster to new information are better equipped to change their behaviour in response to public health measures. These findings can inform interventions that seek to increase compliance with social distancing measures whilst minimising negative repercussions for mental health.
AB - The COVID-19 pandemic has brought about unprecedented global changes in individual and collective behaviour. To reduce the spread of the virus, public health bodies have promoted social distancing measures while attempting to mitigate their mental health consequences. The current study aimed to identify cognitive predictors of social distancing adherence and mental health symptoms, using computational models derived from delay discounting (the preference for smaller, immediate rewards over larger, delayed rewards) and patch foraging (the ability to trade-off between exploiting a known resource and exploring an unknown one). In a representative sample of the UK population (N = 442), we find that steeper delay discounting predicted poorer adherence to social distancing measures and greater sensitivity to reward magnitude during delay discounting predicted higher levels of anxiety symptoms. Furthermore, under-valuing recently sampled information during foraging independently predicted greater violation of lockdown guidance. Our results suggest that those who show greater discounting of delayed rewards struggle to maintain social distancing. Further, those who adapt faster to new information are better equipped to change their behaviour in response to public health measures. These findings can inform interventions that seek to increase compliance with social distancing measures whilst minimising negative repercussions for mental health.
KW - Human behaviour
KW - Psychology
UR - http://www.scopus.com/inward/record.url?scp=85115841120&partnerID=8YFLogxK
U2 - 10.1038/s41598-021-98772-5
DO - 10.1038/s41598-021-98772-5
M3 - Article
C2 - 34584175
AN - SCOPUS:85115841120
SN - 2045-2322
VL - 11
JO - Scientific Reports
JF - Scientific Reports
M1 - 19237
ER -