Written by Akram Kooshki, Manidgeh Yousefi Moghaddam, Roya Akbarzadeh
Parent Category: Year 2016, Volume 8
Category: Volume 8, Issue 9, September 2016
Introduction: Diet is one of the most important modifiable risk factors for prevention and control of chronic diseases, including breast cancer. This study aimed to determine the fruit and vegetable intake in women with cancer breast in Sabzevar.
Methods: This cross-sectional study was conducted on 125 women with breast cancer in Sabzevar in 2011. Census sampling was done on volunteers in a visiting home and suspected women referred to the mammography, ultrasound, and radiology clinic in the Sabzevar center for breast cancer. Demographic and semi quantitative food questionnaires of 160 foods were completed for each of the patients by trained interviewers. Data were analyzed using the software Nutritionist IV. Descriptive statistics, one-sample t-test, and Chi-square test were used, employing the SPSS version 16.
Results: In this study, 125 women were assessed with breast cancer. The highest risk with breast cancer was 35.5% in women 40 to 49 years old. The results of this study showed that patients with breast cancer had minimum daily recommended intake (3.06 ± 2.3 serving of fruits and 2.09 ± 1.81 serving of vegetables in days). One sample t-test showed that the mean intake of fruits and vegetables was not a significant deference with daily recommended intake (p>0.05). The chi-square test showed that patients with minimum daily recommended intake of fruits and vegetables were at high risk for breast cancer in comparison with those who received the highest amount (p=0.001).
Conclusion: This study supports evidence that high vegetable and fruit intake is associated with lower breast cancer risk.
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Keywords: Breast cancer, Fruits, Vegetables
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: