ABSTRACT
The purpose of this study was to predict Social Emotional Competence based on childhood trauma, internalized shame, disability/shame scheme, cognitive flexibility, distress tolerance, and alexithymia in an Iranian sample using Bayesian regression. The participants in this research were a sample of 326 (85.3% female and 14.7% male) people living in Tehran in 2021 who were selected by convenience sampling through online platforms. The survey assessments included demographic characteristics (age and gender), presence of childhood trauma, social-emotional competence, internalized shame, the Toronto Alexithymia scales, Young's measure of disability/shame together with measures of cognitive flexibility and distress tolerance. The results from Bayesian regression and Bayesian Model Averaging (BMA) indicated that internalized shame, cognitive flexibility and distress tolerance can be predictive of Social Emotional Competence. These results suggested that Social Emotional Competence can be explained by some important personality factors.
ABSTRACT
To explore the spatial accumulation of diseases and their aggravating factors are essential in all public health. This study attempts to use geographic information system (GIS) to provide more information about the incidence and future of anthrax. Methods: Patients were diagnosed with anthrax in Kurdistan Province from 2009 to 2016. Data was then exported into ArcGIS software version 9 and the required layers for years and areas were added.Final map for each year was drawn up, pointing out the hot spots and predicting its future pattern. Results: Most cases were reported in females (57 cases, 54.80 %), and the lower body limbs were most affected (63 cases, 60.57%). The highest numbers of incidences were related to the cities of Marivan, Saqez and Divandareh, with more concentration in the central parts of the province, rather than borderline areas. The highest percentage of the probable incidence of the disease was in Sanandaj (57.74%) with a potential susceptible area of 1 729.12 km
ABSTRACT
@#Overuse of the Internet has significant impact on human life by causing psychological and social problems. This study is an attempt to describe the prevalence of addictive Internet use and mental health status among students in a public university in Iran. The relationship between Internet use and socio-demographic as well as mental health dimensions was explored. Methods: The present study relied on a cross-sectional design and 400 students were selected through proportional stratified random sampling. The data were collected using validated and reliable scales, Young Internet Addiction Test (YIAT) and Goldberg General Health Questionnaire (GHQ-28). Descriptive statistics, Independent Sample t-test, Chi- square test, and Binary Logistic Regression were conducted for data analysis. Results: The mean age of participants was 22.06. The overall prevalence of Internet addiction among the students was 34.5%. Logistic regression analysis indicated that the age of starting Internet use [OR: 0.92, 95% CI: 0.87,0.99; p=0.028], daily time spent on the Internet [OR: 1.12, 95% CI: 1.05,1.21; p <0.0001], purpose of Internet use [OR: 3.32, 95% CI: 2.08,5.48; p <0.0001] and anxiety/insomnia [OR: 1.20, 95% CI: 1.07,1.28; p <0.0001] are the significant predictors of Internet addiction. Conclusion: The Internet addiction among the students was high. The purpose of Internet use, experiencing a higher level of anxiety/insomnia, surfing on the Internet for long time are related to the Internet addiction. Organizing cognitive behavioral intervention programs may be effective in developing self-regulation skills of students in order to control their Internet use.
