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Showing 2 results for Attentional Bias

Mr Masoud Moghaddaszadeh Bazzaz, Dr Javad S. Fadardi, Dr Hosein Kareshki, Prof John Parkinson,
Volume 5, Issue 2 (9-2017)
Abstract

Obesity is one of the most important problems which threatens the global health. Healthcare organizations spend a
large amount of money to predict and treat obesity every year. The most common treatment for obesity is
concentrated on shaping a new lifestyle with more exercise and healthy diet. But a multitude of dieters fail. In this study, the role of cognitive processing in dieters` success or fail was investigated. Participants were
successful (N= 42) and unsuccessful (N= 45) dieters between 18 and 40 years old. Attentional bias, positive
implicit association, and working memory capacity were measured by dot-probe task, a modified
version of implicit association test (IAT), and N-Back task. Results indicated that unsuccessful dieters showed
greater attentional bias to (d= 0.69) and more food preferences for (d= 1.06) high-calorie food pictures.
Nevertheless, there was no significant difference in implicit associations for high calorie food and in working memory capacity between the groups. These results were congruent with some previous studies and they were discussed based on dual-processing model.
 


Mrs. Saemeh Khalili-Torghabeh, Dr. Javad Salehi Fadardi, Dr. Zohreh Sepehri Shamloo, Dr. Seyed Kazem Rasoulzadeh Tabatabai,
Volume 13, Issue 1 (6-2025)
Abstract

Cognitive biases are influential factors in explaining illness anxiety disorder, and understanding the existing biases in this disorder can contribute to more effective treatments. This study was conducted to examine the biases of attention, interpretation, and memory in individuals with and without illness anxiety disorder. The sample consisted of 142 participants who voluntarily participated in the research from across the country. In this study, differences in information processing between the two groups were assessed using the Health Anxiety Questionnaire, Beck Depression Inventory, and computer-based tasks measuring attention bias, interpretation, and memory. The data obtained from the research were analyzed using independent t-tests and analysis of covariance (ANCOVA) with the statistical software SPSS 26.The results showed that individuals with illness anxiety disorder had a greater tendency to focus on threatening cues compared to those without the disorder and interpreted ambiguous health-related information more negatively. However, no significant differences were observed between the two groups regarding positive interpretation bias. Additionally, individuals with illness anxiety recalled disease-related information more effectively. The findings indicate that individuals with illness anxiety display biases in attention, negative interpretation, and memory concerning health-related information. This research emphasizes the importance of identifying and targeting these biases in psychological treatments and suggests employing intervention methods such as cognitive bias modification to directly affect these biases due to their role in the formation and persistence of illness anxiety.
 

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