Mohsen Kachooei, Sahar Shahmoradi,
Volume 19, Issue 2 (1-2020)
Abstract
Background: Nowadays, thinness is generally considered as a standard of women's beauty, and high BMI is associated with negative physical and psychological consequences among women, including negative body image and eating disorders. Therefore, identifying the effective factors in reducing these outcomes seems necessary. The purpose of this study was to determine the moderating role of self-compassion in the relationship between body mass index, body image and symptoms of eating disorders.
Methods: The research method was correlation and the statistical population was all female students of Tehran in 2018 that Among them, 345 students were selected by convenient sampling. Measurement tools included Eating Disorders Diagnostic Scale (EDDS), Self-compassion Measurement Scale (SCS) and Body Appreciation Scale (BAS-2). Data were analyzed using Pearson correlation coefficient and multiple regression analysis (hierarchical method).
Results: The results showed that there was a significant positive correlation between body mass index and eating disorder (P<0.01), and a significant negative correlation with body appreciation and self-compassion (P <0.01). On the other hand, the results of hierarchical regression analysis showed that self-compassion moderates the relationship between body mass index and symptoms of eating disorders (P<0.01), but it did not moderate the relationship between body mass index and body appreciation (P>0.05).
Conclusion: These findings showed that self-compassion may protect women against negative consequences of a high body mass index. As a result, self-compassion can be beneficial in improving mental health and preventing disorders.
Aboozar Ramezani, Leila Shahmoradi, Fereydoon Azadeh, Fatemeh Sheikhshoaei, Rasha Atlasi, Nazli Namazi, Bagher Larijani,
Volume 20, Issue 1 (25th Anniversary of the Foundation, Special Issue 2021)
Abstract
Background: A key aspect of Scientific collaboration increases scientific productivity. This study aimed to draw up a scientific collaboration network of the Endocrinology and Metabolism Research Institute (EMRI) at Tehran University of Medical Sciences.
Methods: A Descriptive Cross-Sectional Study was conducted by the Scientometrics method. Data collection from the Scopus and Web of Science Core collection databases between 2002 until 30 October 2020. MS-Excel, HistCite, VOSviewer, and ScientoPy were used for descriptive statistics and data analysis.
Results: A total of 4190 records with the affiliation of the EMRI are indexed in two international databases. All of the records received a sum of 89480 citations. The EMRI Researchers were published in 1118 journals. The annual growth rate of publication and citation of the scientific output of the EMRI was 20.3% and 22.7%, respectively. A total of 17662 authors from 186 countries participated in the publication. The co-authorship pattern shows. The next section of the Study was classified and visualized based on authorship (institutes and country of affiliation), keywords (co-occurrence and trend).
Conclusion: Overall, these results indicate that the pattern of collaborations in the authorships' articles increases the flow of knowledge among the institute's researchers as a result of international collaborations, interaction with leading countries, and interdisciplinary collaborations. To develop a full picture of co-authorship, additional studies will need a comprehensive picture of network cooperation to analyze the situation with other social network analysis indicators.
