Written by Narjes Sadat Borghei, Ali Taghipour, Robab Latifnejad Roudsari, Afsaneh Keramat, Hadi Jabbari Noghabi
Parent Category: Year 2016, Volume 8
Category: Volume 8, Issue 9, September 2016
Introduction: Considering that empowering expectant mothers is an important issue to maintain a healthy pregnancy, this study was conducted to evaluate the predictors of empowerment among Iranian pregnant women.
Methods: This cross sectional study was conducted in Golestan, North of Iran in 2015. A total number of 161 pregnant women were selected through random cluster sampling from urban health centers, using PASS software. The socio-political, educational, and mental-financial predictors of empowerment were measured using a self-structured questionnaire during pregnancy and was analyzed by a linear regression model using SPSS version 16.
Results: The findings of linear regression showed that educational dimension of empowerment had the highest coefficient in the regression model, on total empowerment (βeta standardized coefficient [β]=0.696 with DW=1.830 and means error=0). The total empowerment score of pregnant women was controlled by individual factors such as the age of marriage (β-0.228), employment (β-0.210), and educational factors such as participation in prenatal education classes (β-0.246), and moral issues such as sense of spiritual support (β-0.217).
Conclusion: By recognizing and observing predictors of empowerment during pregnancy, health care providers can increase women's power over their pregnancy. Educational predictors of empowerment were the most important factors to empower women during pregnancy. The objective of childbirth education classes, therefore, should shift from simply giving information to women, towards giving them appropriate knowledge in order to provide them with empowerment during pregnancy.
Keywords: Empowerment, Pregnancy, Health
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: