Background: People with poor health literacy are those who have less knowledge about disease management and health promotion behaviors, and generally have poorer health status. 
Objective: The aim of this study was to investigate the impact of qualitative components of the health website of Semnan University of Medical Sciences on the students’ health literacy.
Methods: This study was performed on 529 medical and allied health students in schools affiliated to Semnan University of Medical Sciences, Iran in 2016-2017. A researcher-made questionnaire and standard questionnaire were used. Descriptive statistics and regression test were used by SPSS 19 to analyze data in significance level of 0.01.
Results: The findings showed that there were poor relationships between communications in the health website and health literacy (R2=0.265, B=0.50), between understanding of concepts in the health website and health literacy (R2=0.259, B=0.38) and patient centeredness in the health website and health literacy (R2=0.241, B=0.30).
Conclusion: It is concluded that the empowerment of students’ health literacy through the University Health Department website can be realized when the health department website is used as a tool for learning and the website is much more active in social marketing in the field of health.


Keywords: Models, Theoretical; Health literacy; Universities; Learning; Students


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October-December 2019 (Volume 11, Issue 4)


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:


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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: