Written by Sedighe Pakseresht, Farzane Pourshaban, Zahra Bostani khalesi
Parent Category: Year 2017, Volume 9
Category: Volume 9, Issue 2, February 2017
Introduction: The ideal nourishment for the first 12 months of a child’s life comes from breastfeeding its mother’s milk, and maternal self-efficacy is one factor which affects breastfeeding duration. Therefore, the present study aimed to compare the maternal breastfeeding self-efficacy during the first week and sixth-week postpartum.
Methods: This descriptive, analytical study was conducted on 767 women referring to the Family Health Research Center of Rasht in 2014. Mothers were selected through continuous sampling. For data collection, we used demographic questionnaires, and Dennis breastfeeding self-efficacy scale. For data analysis, Chi-square, Mann-Whitney U, Pearson’s correlation coefficient and multiple regression were performed using SPSS version 19.
Results: In this study, most mothers had scores compatible with moderate self-efficacy in the first week, and in the sixth week had high self-efficacy for breastfeeding. There was a significant relationship between breastfeeding self-efficacy (BSE) score and employment status (p<0.0001). Also, we found significant BSE score differences between primiparous and multiparous women (p<0.001).
Conclusion: Results of the study indicate that breastfeeding duration increases the breastfeeding self-efficacy levels. So, Developing and implementing appropriate approaches are needed to improve breastfeeding duration in mothers.
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Keywords: Infant; Self-efficacy; Breastfeeding
The most recent editorial (June 2021)
Ethics of Publishing Case Reports: Do We Need Ethics Approval and Patient Consent?
An editorial by Dr. Mehrdad Jalalian
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
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Lessons from COVID-19 pandemic and the Morocco’s success story.
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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: