Written by Elham Imani, Fatemeh Shahabizadeh, Alireza Mahmoodirad
Parent Category: Year 2017, Volume 9
Category: Volume 9, Issue 10, October 2017
Background: Diabetes is one of the most common noncommunicable diseases around the world that accompanies assorted psychiatric disorders including anxiety and depression due to being chronic.
Objective: The aim of this study was to evaluate the effect of anxiety and depression on acceptance and action, considering emotional schemas of diabetics referring to diabetes clinics of health centers in Birjand, Iran.
Methods: This study was conducted in 2016 and was a correlational study with a structural equation modeling approach. The statistical population of this study were all men and women with type 2 diabetes in Birjand, with an active health record in health centers of this county. To collect data, Depression, Anxiety, and Stress Scale (DASS-21), Acceptance and Action Questionnaire-II (AAQ-II) and Leahy Emotional Schema Scale (LESS) were employed. Using SPSS19 and LISREL, data were analyzed via multiple regression and modeling at p≤0.05.
Results: In general, 350 subjects entered the study, most of whom were between 50 and 60 years of age and of whom, (47.7%) were women. Results show that depression has had a negative contribution in predicting quality of life (p=0.0001). In addition, results demonstrated the negative relation of anxiety and depression in predicting no emotional avoidance (flexibility) (p=0.0001). Anxiety and rumination had a positive effect and emotional unawareness had a negative effect on predicting no emotional avoidance (p=0.0001).
Conclusion: Results of this study showed that by reducing adaptive emotional schemas, emotions reduce psychological flexibility and increase emotional avoidance. In addition, by increasing non-adaptive emotional schemas, it increases no flexibility and emotional avoidance that finally reduces quality of life as well as acceptance and action.
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Keywords: Diabetes Mellitus; Depressive Disorder; Anxiety Disorders
Volume 12, Issue 4, October-December 2020
The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.
To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here
The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.
The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:
TDR Clinical Research and Development Fellowships
Call for applications
Deadline for submission: 7 March 2019, 16:00 (GMT)
TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:
Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019
Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).
About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: