Background and Aim: Postpartum depression is one of the prevalent disorders among new mothers. The present research aimed to examine the effectiveness of mindfulness training on reducing the symptoms of postpartum depression.
Method: The present quasi-experimental research was conducted on 410 new mothers in Shahid Chamran Hospital, Tehran in 2014. Using the Beck Depression Inventory (BDI), Structured Clinical Interview and Psychological Clinical Diagnosis, 67 mothers were selected and then randomly divided into experimental and control groups, each of which with 32 applicants. Afterwards, the experimental group received mindfulness training for 8 sessions, each lasting for two hours while the control group received no training. The data were analyzed through descriptive statistics and Analysis of Covariance (ANCOVA) in SPSS, version 20.
Results: Results showed that based on Beck Inventory, the scores for the experimental group in post-test were significant (p<0.001), compared to those for the control group. Also, it was revealed that pre- and posttest mean scores for postpartum depression in the control group were 25.81 and 25.12 respectively while the scores for the experimental group were 24.75 and 18.5 respectively. Since the posttest mean score in the experimental group was lower than that in the pretest, it can be said that the treatment, i.e., mindfulness training, was effective in reducing depression symptoms in mothers.
Conclusion: Findings proved that mindfulness training was effective in reducing the symptoms of postpartum depression in new mothers.
NIKETHE SNEAKER BULLETIN
Keywords: Postpartum, Depression, Mindfulness training
Volume 13, Issue 1, January-March 2021
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 most recent editorial (June 2020)
Lessons from COVID-19 pandemic and the Morocco’s success story.
An editorial by Dr. Benksim Abdelhafid (Morocco)
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: