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Volume 24, Issue 149 (7-2025)
Journal of Psychological Science 2025, 24(149): 17-31 |
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fattahi S, hatami M, sepah mansour M, barghi irani Z. (2025). Effectiveness of acceptance and commitment therapy in reducting the symptoms of cyberchondria in diabetes type2 patients in Tehran. Journal of Psychological Science. 24(149), 17-31.
URL: http://psychologicalscience.ir/article-1-2771-en.html
URL: http://psychologicalscience.ir/article-1-2771-en.html
. Associate Professor, Department of Clinical Psychology, Kharazmi University, Tehran, Iran. Email: m.hatami@khu.ac.ir , info@khu.ac.ir
Abstract: (176 Views)
Background: Various studies have shown that health anxiety is observed at a high rate in patients with diabetes. This anxiety can also lead to cyberchondria disorder. Despite investigating the effectiveness of Acceptance and Commitment Therapy on the mental health of patients with Type 2 diabetes, there is a research gap regarding the efficacy of this therapeutic approach in reducing cyberchondria symptoms among patients with diabetes.
Aims: This study aimed to investigate the efficacy of Acceptance and Commitment Therapy on reducing cyberchondria symptoms in patients with type 2 diabetes in Tehran.
Methods: The method of this study was a semi-experimental design with a pre-test, post-test, and control group and a one-month follow-up. The statistical population of the study included all patients with type 2 diabetes in medical centers in Tehran (Tehran Diabetes Association and Niavaran Diabetes Center) (589 people). To select the statistical sample, 30 people were selected using purposeful sampling and randomly assigned to two groups (15 in the experimental group and 15 in the control group). The Cyberchondria Severity Scale (McElroy & Shevlin, 2014) was used to collect data. Also, 8 sessions, 90 minutes each of the Acceptance and Commitment Therapy protocol (Hayes et al., 2006; Hayes et al., 1999) were held for the experimental group members. For data analysis, the Analysis of variance within-subjects –between-subjects design and SPSS-20 software were used.
Results: The results showed that acceptance and commitment therapy was effective in reducing all components of cyberchondria in the experimental group (P< 0.001), and this reduction was maintained in the follow-up phase (P< 0.05).
Conclusion: According to the findings of the present study, it is suggested that health psychologists use Acceptance and Commitment Therapy to reduce health anxiety symptoms, especially in people with cyberchondria.
Aims: This study aimed to investigate the efficacy of Acceptance and Commitment Therapy on reducing cyberchondria symptoms in patients with type 2 diabetes in Tehran.
Methods: The method of this study was a semi-experimental design with a pre-test, post-test, and control group and a one-month follow-up. The statistical population of the study included all patients with type 2 diabetes in medical centers in Tehran (Tehran Diabetes Association and Niavaran Diabetes Center) (589 people). To select the statistical sample, 30 people were selected using purposeful sampling and randomly assigned to two groups (15 in the experimental group and 15 in the control group). The Cyberchondria Severity Scale (McElroy & Shevlin, 2014) was used to collect data. Also, 8 sessions, 90 minutes each of the Acceptance and Commitment Therapy protocol (Hayes et al., 2006; Hayes et al., 1999) were held for the experimental group members. For data analysis, the Analysis of variance within-subjects –between-subjects design and SPSS-20 software were used.
Results: The results showed that acceptance and commitment therapy was effective in reducing all components of cyberchondria in the experimental group (P< 0.001), and this reduction was maintained in the follow-up phase (P< 0.05).
Conclusion: According to the findings of the present study, it is suggested that health psychologists use Acceptance and Commitment Therapy to reduce health anxiety symptoms, especially in people with cyberchondria.
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This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)