Delay discounting and under-valuing of recent information predict poorer adherence to social distancing measures during the COVID-19 pandemic. / Lloyd, Alexander; McKay, Ryan; Hartman, Todd; Vincent, Benjamin T; Murphy, Jamie ; Gibson-Miller, Jilly; Levita, Liat; Bennett, Kate; McBride, Orla; Martinez, Anton P.; Stocks, Thomas; Vallières, Frédérique ; Hyland, Philip; Karatzias, Thanos; Butter, Sarah; Shevlin, Mark; Bentall, Richard P.; Mason, Liam.

In: Scientific Reports, 28.09.2021.

Research output: Contribution to journalArticlepeer-review

Forthcoming

Standard

Delay discounting and under-valuing of recent information predict poorer adherence to social distancing measures during the COVID-19 pandemic. / Lloyd, Alexander; McKay, Ryan; Hartman, Todd; Vincent, Benjamin T; Murphy, Jamie ; Gibson-Miller, Jilly; Levita, Liat; Bennett, Kate; McBride, Orla; Martinez, Anton P.; Stocks, Thomas; Vallières, Frédérique ; Hyland, Philip; Karatzias, Thanos; Butter, Sarah; Shevlin, Mark; Bentall, Richard P.; Mason, Liam.

In: Scientific Reports, 28.09.2021.

Research output: Contribution to journalArticlepeer-review

Harvard

Lloyd, A, McKay, R, Hartman, T, Vincent, BT, Murphy, J, Gibson-Miller, J, Levita, L, Bennett, K, McBride, O, Martinez, AP, Stocks, T, Vallières, F, Hyland, P, Karatzias, T, Butter, S, Shevlin, M, Bentall, RP & Mason, L 2021, 'Delay discounting and under-valuing of recent information predict poorer adherence to social distancing measures during the COVID-19 pandemic', Scientific Reports.

APA

Lloyd, A., McKay, R., Hartman, T., Vincent, B. T., Murphy, J., Gibson-Miller, J., Levita, L., Bennett, K., McBride, O., Martinez, A. P., Stocks, T., Vallières, F., Hyland, P., Karatzias, T., Butter, S., Shevlin, M., Bentall, R. P., & Mason, L. (Accepted/In press). Delay discounting and under-valuing of recent information predict poorer adherence to social distancing measures during the COVID-19 pandemic. Scientific Reports.

Vancouver

Author

Lloyd, Alexander ; McKay, Ryan ; Hartman, Todd ; Vincent, Benjamin T ; Murphy, Jamie ; Gibson-Miller, Jilly ; Levita, Liat ; Bennett, Kate ; McBride, Orla ; Martinez, Anton P. ; Stocks, Thomas ; Vallières, Frédérique ; Hyland, Philip ; Karatzias, Thanos ; Butter, Sarah ; Shevlin, Mark ; Bentall, Richard P. ; Mason, Liam. / Delay discounting and under-valuing of recent information predict poorer adherence to social distancing measures during the COVID-19 pandemic. In: Scientific Reports. 2021.

BibTeX

@article{ec1e9995256449faac96ae85b18a5849,
title = "Delay discounting and under-valuing of recent information predict poorer adherence to social distancing measures during the COVID-19 pandemic",
abstract = "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. ",
author = "Alexander Lloyd and Ryan McKay and Todd Hartman and Vincent, {Benjamin T} and Jamie Murphy and Jilly Gibson-Miller and Liat Levita and Kate Bennett and Orla McBride and Martinez, {Anton P.} and Thomas Stocks and Fr{\'e}d{\'e}rique Valli{\`e}res and Philip Hyland and Thanos Karatzias and Sarah Butter and Mark Shevlin and Bentall, {Richard P.} and Liam Mason",
year = "2021",
month = sep,
day = "28",
language = "English",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",

}

RIS

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, Alexander

AU - McKay, Ryan

AU - Hartman, Todd

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

AU - Vallières, Frédérique

AU - Hyland, Philip

AU - Karatzias, Thanos

AU - Butter, Sarah

AU - Shevlin, Mark

AU - Bentall, Richard P.

AU - Mason, Liam

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.

M3 - Article

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

ER -