ismail dergaa | Université de Carthage (original) (raw)
Dr. Ismail Dergaa is a scientific researcher and a doctor in Biological Sciences (Ph.D.). He is currently working in the main governmental primary health care facility in Qatar (Primary Health Care Corporation, PHCC) where he is supervising several research in the area of medical sciences and public health. He is also conducting research in the area of sports science since it is his main field of expertise.
Supervisors: Karim Chamari, Nizar Souissi, and Helmi Ben Saad
Address: Doha, Qatar
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Papers by ismail dergaa
Journal of science in sport and exercise, May 16, 2024
PubMed, Oct 5, 2023
The integrity of the peer-review process (PRP) is paramount in academic publishing and serves as ... more The integrity of the peer-review process (PRP) is paramount in academic publishing and serves as a critical filter for scholarly output. This mini-review centers on the introduction of comprehensive guidelines, presented in tables format, aimed at streamlining the interactions between authors and reviewers during the PRP. These guidelines, derived from an in-depth exploration of the PRP, offer structured and practical advice to ensure constructive, transparent, and effective communication, especially related to the use of artificial intelligence. While this mini-review discusses the strengths and challenges of the current PRP, its primary focus is on providing tangible recommendations to enhance the quality and efficiency of the PRP. By providing explicit guidelines and emphasizing the cooperative essence of peer review, this mini-review aims to improve the PRP, ensuring that it remains a robust mechanism for upholding the highest standards of research and knowledge dissemination in an evolving academic setting.
BMC sports science, medicine & rehabilitation, Apr 3, 2024
Journal of education and health promotion, Mar 1, 2024
International journal of sport studies for health, Feb 14, 2024
New Asian Journal of Medicine, Dec 31, 2022
New Asian Journal of Medicine, Dec 31, 2022
Frontiers in Psychiatry, Jan 3, 2024
Journal of multidisciplinary healthcare, Jun 1, 2023
Frontiers in psychology, Apr 2, 2024
Sports Medicine - Open
Background Although several studies have shown that the Coronavirus Disease 2019 (COVID-19) lockd... more Background Although several studies have shown that the Coronavirus Disease 2019 (COVID-19) lockdown has had negative impacts on mental health and eating behaviors among the general population and athletes, few studies have examined the long-term effects on elite and sub-elite athletes. The present study aimed to investigate the long-term impact of COVID-19 lockdown on mental health and eating behaviors in elite versus sub-elite athletes two years into the pandemic. A cross-sectional comparative study was conducted between March and April 2022, involving athletes from 14 countries, using a convenient non-probabilistic and snowball sampling method. A total of 1420 athletes (24.5 ± 7.9 years old, 569 elites, 35% women, and 851 sub-elites, 45% women) completed an online survey-based questionnaire. The questionnaire included a sociodemographic survey, information about the COVID-19 pandemic, the Depression, Anxiety and Stress Scale—21 Items (DASS-21) for mental health assessment, and th...
Sports Medicine and Health Science
PubMed, Aug 3, 2023
Purpose: To investigate the accuracy of ChatGPT (Chat generative pretrained transformer), a large... more Purpose: To investigate the accuracy of ChatGPT (Chat generative pretrained transformer), a large language model, in calculating sample size for sport-sciences and sports-medicine research studies. Methods: We conducted an analysis on 4 published papers (ie, examples 1-4) encompassing various study designs and approaches for calculating sample size in 3 sport-science and -medicine journals, including 3 randomized controlled trials and 1 survey paper. We provided ChatGPT with all necessary data such as mean, percentage SD, normal deviates (Zα/2 and Z1-β), and study design. Prompting from 1 example has subsequently been reused to gain insights into the reproducibility of the ChatGPT response. Results: ChatGPT correctly calculated the sample size for 1 randomized controlled trial but failed in the remaining 3 examples, including the incorrect identification of the formula in one example of a survey paper. After interaction with ChatGPT, the correct sample size was obtained for the survey paper. Intriguingly, when the prompt from Example 3 was reused, ChatGPT provided a completely different sample size than its initial response. Conclusions: While the use of artificial-intelligence tools holds great promise, it should be noted that it might lead to errors and inconsistencies in sample-size calculations even when the tool is fed with the necessary correct information. As artificial-intelligence technology continues to advance and learn from human feedback, there is hope for improvement in sample-size calculation and other research tasks. However, it is important for scientists to exercise caution in utilizing these tools. Future studies should assess more advanced/powerful versions of this tool (ie, ChatGPT4).
Journal of science in sport and exercise, May 16, 2024
PubMed, Oct 5, 2023
The integrity of the peer-review process (PRP) is paramount in academic publishing and serves as ... more The integrity of the peer-review process (PRP) is paramount in academic publishing and serves as a critical filter for scholarly output. This mini-review centers on the introduction of comprehensive guidelines, presented in tables format, aimed at streamlining the interactions between authors and reviewers during the PRP. These guidelines, derived from an in-depth exploration of the PRP, offer structured and practical advice to ensure constructive, transparent, and effective communication, especially related to the use of artificial intelligence. While this mini-review discusses the strengths and challenges of the current PRP, its primary focus is on providing tangible recommendations to enhance the quality and efficiency of the PRP. By providing explicit guidelines and emphasizing the cooperative essence of peer review, this mini-review aims to improve the PRP, ensuring that it remains a robust mechanism for upholding the highest standards of research and knowledge dissemination in an evolving academic setting.
BMC sports science, medicine & rehabilitation, Apr 3, 2024
Journal of education and health promotion, Mar 1, 2024
International journal of sport studies for health, Feb 14, 2024
New Asian Journal of Medicine, Dec 31, 2022
New Asian Journal of Medicine, Dec 31, 2022
Frontiers in Psychiatry, Jan 3, 2024
Journal of multidisciplinary healthcare, Jun 1, 2023
Frontiers in psychology, Apr 2, 2024
Sports Medicine - Open
Background Although several studies have shown that the Coronavirus Disease 2019 (COVID-19) lockd... more Background Although several studies have shown that the Coronavirus Disease 2019 (COVID-19) lockdown has had negative impacts on mental health and eating behaviors among the general population and athletes, few studies have examined the long-term effects on elite and sub-elite athletes. The present study aimed to investigate the long-term impact of COVID-19 lockdown on mental health and eating behaviors in elite versus sub-elite athletes two years into the pandemic. A cross-sectional comparative study was conducted between March and April 2022, involving athletes from 14 countries, using a convenient non-probabilistic and snowball sampling method. A total of 1420 athletes (24.5 ± 7.9 years old, 569 elites, 35% women, and 851 sub-elites, 45% women) completed an online survey-based questionnaire. The questionnaire included a sociodemographic survey, information about the COVID-19 pandemic, the Depression, Anxiety and Stress Scale—21 Items (DASS-21) for mental health assessment, and th...
Sports Medicine and Health Science
PubMed, Aug 3, 2023
Purpose: To investigate the accuracy of ChatGPT (Chat generative pretrained transformer), a large... more Purpose: To investigate the accuracy of ChatGPT (Chat generative pretrained transformer), a large language model, in calculating sample size for sport-sciences and sports-medicine research studies. Methods: We conducted an analysis on 4 published papers (ie, examples 1-4) encompassing various study designs and approaches for calculating sample size in 3 sport-science and -medicine journals, including 3 randomized controlled trials and 1 survey paper. We provided ChatGPT with all necessary data such as mean, percentage SD, normal deviates (Zα/2 and Z1-β), and study design. Prompting from 1 example has subsequently been reused to gain insights into the reproducibility of the ChatGPT response. Results: ChatGPT correctly calculated the sample size for 1 randomized controlled trial but failed in the remaining 3 examples, including the incorrect identification of the formula in one example of a survey paper. After interaction with ChatGPT, the correct sample size was obtained for the survey paper. Intriguingly, when the prompt from Example 3 was reused, ChatGPT provided a completely different sample size than its initial response. Conclusions: While the use of artificial-intelligence tools holds great promise, it should be noted that it might lead to errors and inconsistencies in sample-size calculations even when the tool is fed with the necessary correct information. As artificial-intelligence technology continues to advance and learn from human feedback, there is hope for improvement in sample-size calculation and other research tasks. However, it is important for scientists to exercise caution in utilizing these tools. Future studies should assess more advanced/powerful versions of this tool (ie, ChatGPT4).