2022
DOI: 10.1038/s41598-022-22584-4
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Resting-state heart rate variability (HRV) mediates the association between perceived chronic stress and ambiguity avoidance

Abstract: Chronic stress is associated with profound behavioral and physiological alterations, including intolerance to uncertainty and reduced resting-state heart-rate-variability (HRV). Critically, uncertainty may arise in situations with known probabilities (risk) or unknown probabilities (ambiguity). Whether associations between chronic stress and decision-making under uncertainty are dependent on the specific type of uncertain decisions, and whether physiological alterations play a role in these putative associatio… Show more

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Cited by 7 publications
(4 citation statements)
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“…Risk attitudes have been associated with the structure of specific brain areas, including the posterior parietal cortex (Gilaie-Dotan et al, 2014;Grubb et al, 2016), amygdala (Jung et al, 2018), and cerebellum (Quan et al, 2022, supporting the characterization of risk attitude as a stable trait-like construct. Ambiguity, in contrast, is unstable within individuals (Dimmock et al, 2016), changes when observed by peers (Curley et al, 1986;Trautmann et al, 2008), and relates to physiological (FeldmanHall et al, 2016;Jiryis et al, 2022;Katsaros & Nicolaidis, 2012;Konova et al, 2020) and emotional states (Rubaltelli et al, 2010), supporting its view as a more state-like construct.…”
Section: Discussionmentioning
confidence: 92%
“…Risk attitudes have been associated with the structure of specific brain areas, including the posterior parietal cortex (Gilaie-Dotan et al, 2014;Grubb et al, 2016), amygdala (Jung et al, 2018), and cerebellum (Quan et al, 2022, supporting the characterization of risk attitude as a stable trait-like construct. Ambiguity, in contrast, is unstable within individuals (Dimmock et al, 2016), changes when observed by peers (Curley et al, 1986;Trautmann et al, 2008), and relates to physiological (FeldmanHall et al, 2016;Jiryis et al, 2022;Katsaros & Nicolaidis, 2012;Konova et al, 2020) and emotional states (Rubaltelli et al, 2010), supporting its view as a more state-like construct.…”
Section: Discussionmentioning
confidence: 92%
“…Psychophysical conditions including depressiveness, anxiety, stress, and fatigue were also checked by two questionnaires, State and Trait Anxiety Inventory state (STAI-state) score and Self-rating Depression Scale (SDS) score [ 22 , 23 ] in both the post-COVID-19 subjects and the normal control. It has been reported that medical staff is under stressful working conditions, and a comparison between the data of the medical staff and that of the non-medical staff should be carried out carefully [ 24 ]. However, SDS score and STAI-state score were 39.4 ± 8.0 and 42.4 ± 10.9 in the post-COVID-19 subjects and were not statistically different from those in the normal control (SDS, 40.9 ± 7.9, p > 0.05; STAI-state; 40.3 ± 8.4, p > 0.05).…”
Section: Methodsmentioning
confidence: 99%
“…A HRV measurement is performed at each follow-up. The participants are kindly asked to be in an upright position for 5 min and lie for 5 min while breathing at a normal pace to achieve a resting state measurement [ 81 ]. If needed, participants can take breaks.…”
Section: Methods and Designmentioning
confidence: 99%