Written by Fatimah Fahad Altaleb, Othman Mashfi Alshammari, Hala Mohammed Alanazi, Dina Anwar Aljaber, Arwa Bader Alanazi, Nagah Mohamed Abo El-Fetoh, Nesreen Ali Mohammed, Hadil Anwar Aljaber
Parent Category: Year 2017, Volume 9
Category: Volume 9, Issue 10, October 2017
Background: Cardiovascular diseases (CVD) are among the main causes of premature death and hospital admission worldwide, constituting a great economic burden on health care systems. Additionally, thyroid diseases may exert a deleterious effect on the outcomes of CVD patients.
Aim: This study was conducted to identify the pattern and factors associated with CVD distribution and the relation with thyroid dysfunction in the study population.
Methods: This cross sectional study was conducted on 181 participants in the cardiac center in Arar, Kingdom of Saudi Arabia (KSA), from September 2016 to March 2017. A questionnaire was designed for collecting data about socio-demographic variables, smoking, types of CVD, and thyroid dysfunction among participants.
Results: Findings showed that 42.5% of the participants were hypertensive, 11.6% had myocardial infarction, 8.9% were ischemic and 7.2 % had arrhythmia. The majority of participants (80.6%) were euthyroid. In contrast, 13.3% of the participants had hypothyroidism and 6.1% were hyperthyroid. Most of the studied factors had no significant effect on CVD distribution while smoking showed a remarkable variation among patients with different CVD types (p=0.013). Data were analyzed by SPSS version 15, using descriptive statistics and Chi-square test.
Conclusion: Our findings indicated the urgent need for stressing on tobacco use control measures and increasing public awareness about hazards of tobacco especially among CVD patients.
Keywords: Cardiovascular diseases; Pattern, Smoking, Thyroid dysfunction
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: