Written by Farzaneh Soltani, Zahra Eskandari, Batoul Khodakarami, Parisa Parsa, Ghodratollah Roshanaei
Parent Category: Year 2017, Volume 9
Category: Volume 9, Issue 7, July 2017
Background: Fear of childbirth is a considerable mental, social, and physiological phenomenon among women as well as their families, which can be effective in choosing cesarean section for delivery.
Aim: To determine some factors contributing to the fear of childbirth among pregnant women.
Method: This cross-sectional study was conducted on 335 pregnant women referred to health centers in Toyserkan in 2016. Pregnant women with the gestational age of 16-40 weeks filled out Harman’s Childbirth Attitude Questionnaire (CAQ) as well as stating demographic and obstetrics characteristics. Data were analyzed by Software SPSS/19 through chi-square, ANOVA, and Pearson’s correlation tests.
Results: The mean age and mean gestational age of the pregnant women were 26.5±4.9 years old and 26.52 weeks, respectively; 89.3% of the women reported fear of childbirth. There was a significant difference among the mean scores of the women’s fear of childbirth and education level, household income adequacy, gravidity, being familiar with the delivery process, and pre-pregnancy cares (p<0.05).
Conclusion: The present study found the relationship between women’s fear of childbirth and their education level, household income, gravidity, familiarity with delivery process, and pre-pregnancy cares. It is necessary for health caregivers to take into consideration the vulnerable groups, especially nulliparous women during pre-pregnancy care as well as the social, and cultural status of women in order to identify the pregnant women exposed to fear of childbirth and reduce the chance of choosing cesarean section by providing appropriate services.
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Keywords: Childbirth fear, Pregnancy, Related factors
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: