Abstract:Specific deficits in decision-making have been demonstrated in patients with obsessive-compulsive disorder (OCD). The experience of anxious arousal in obsessive-compulsive (OC) patients has been posited to be responsible for disrupting the cognitive processes that lead to efficacious decision-making (Sachdev & Malhi, 2005). In spite of this, research has neglected to examine explicitly the effect of anxiety on the relationship between decision-making and OCD. The current study investigates whether decision-mak… Show more
“…In the present study, the heart of the analysis in hierarchical regressions (e.g., interaction) explained a trivial proportion of variance in the dependent variable (1–4%). Compared with the regression effects of similar studies, we found that one study used hierarchical regression to explore the relationship between anxiety and IGT (Leonello & Jones, 2016), and their range of regression effects ( R ‐squared values) is 0.04–0.06, which was similar to our study. Moreover, in other studies focusing on intelligence and IGT, their regression effects ( R ‐squared values) are 0.001–0.17 in Demaree et al (2010) while 0.004–0.202 in Webb et al (2014).…”
Affective decision‐making is a decision process with significant and strong emotional consequences marked by meaningful rewards and losses. Previous studies found inconsistent results regarding whether trait anxiety hinders affective decision‐making. Also, previous studies also proved that people with lower cognitive reflection were less likely to exhibit better performance in decision‐making when compared with higher cognition reflection individuals. Using the risk‐as‐feeling hypothesis, which explicitly postulates an interaction between cognitive and affective processes in people's decision‐making, we explore whether cognitive reflection moderates the relationship between trait anxiety and affective decision‐making. Participants (N = 261) completed the standardized version of the Iowa Gambling Task, which is widely used to assess affective decision‐making, Trait Anxiety Inventory, numerical cognitive reflection test (numerical CRT), and verbal cognitive reflection test (CRT‐V). The results showed that cognitive reflection measured by the numerical CRT rather than the CRT‐V moderated the relationship between trait anxiety and affective decision‐making. Specifically, individuals with lower cognitive reflection exhibited a negative association between trait anxiety and affective decision‐making, whereas individuals with higher cognitive reflection did not exhibit a relationship between trait anxiety and cognitive reflection. The present study helps to explain how cognitive reflection and trait anxiety interact in affective decision‐making and provides guidance targeting individuals with higher trait anxiety to improve their numerical cognitive reflection ability and better address their affective decision‐making.
“…In the present study, the heart of the analysis in hierarchical regressions (e.g., interaction) explained a trivial proportion of variance in the dependent variable (1–4%). Compared with the regression effects of similar studies, we found that one study used hierarchical regression to explore the relationship between anxiety and IGT (Leonello & Jones, 2016), and their range of regression effects ( R ‐squared values) is 0.04–0.06, which was similar to our study. Moreover, in other studies focusing on intelligence and IGT, their regression effects ( R ‐squared values) are 0.001–0.17 in Demaree et al (2010) while 0.004–0.202 in Webb et al (2014).…”
Affective decision‐making is a decision process with significant and strong emotional consequences marked by meaningful rewards and losses. Previous studies found inconsistent results regarding whether trait anxiety hinders affective decision‐making. Also, previous studies also proved that people with lower cognitive reflection were less likely to exhibit better performance in decision‐making when compared with higher cognition reflection individuals. Using the risk‐as‐feeling hypothesis, which explicitly postulates an interaction between cognitive and affective processes in people's decision‐making, we explore whether cognitive reflection moderates the relationship between trait anxiety and affective decision‐making. Participants (N = 261) completed the standardized version of the Iowa Gambling Task, which is widely used to assess affective decision‐making, Trait Anxiety Inventory, numerical cognitive reflection test (numerical CRT), and verbal cognitive reflection test (CRT‐V). The results showed that cognitive reflection measured by the numerical CRT rather than the CRT‐V moderated the relationship between trait anxiety and affective decision‐making. Specifically, individuals with lower cognitive reflection exhibited a negative association between trait anxiety and affective decision‐making, whereas individuals with higher cognitive reflection did not exhibit a relationship between trait anxiety and cognitive reflection. The present study helps to explain how cognitive reflection and trait anxiety interact in affective decision‐making and provides guidance targeting individuals with higher trait anxiety to improve their numerical cognitive reflection ability and better address their affective decision‐making.
The Iowa Gambling Task (IGT) was designed to assess decision-making under conditions of complexity and uncertainty; it is currently one of the most widely used tests to assess decision-making in both experimental and clinical settings. In the original version of the task, participants are given a loan of play money and four decks of cards and are asked to maximize profits. Although any single card unpredictably yields wins/losses, variations in frequency and size of gains/losses ultimately make two decks more advantageous in the long term. Several studies have previously suggested that there may be a sex-related difference in IGT performance. Thus, the present study aimed to explore and quantify sex differences in IGT performance by pooling the results of 110 studies. The meta-analysis revealed that males tend to perform better than females on the classic 100-trial IGT (UMD = 3.381; p < 0.001). Furthermore, the significant heterogeneity observed suggests high variability in the results obtained by individual studies. Results were not affected by publication bias or other moderators. Factors that may contribute to differences in male and female performance are discussed, such as functional sex-related asymmetries in the ventromedial prefrontal cortex and amygdala, as well as differences in sensitivity to wins/losses.
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