Climate Change and Diabetes Mellitus - Emerging Global Public Health Crisis: Observational Analysis.

Climate change is the most pressing challenge of the 21st century. It's immediate impacts on the environment are extreme weather conditions such as heatwaves, storms, rains, floods, sealevel rise, the disruption of crops, agricultural systems, water, vector-borne diseases, and ecosystems. The weather-related disasters disturbed the natural biological environment and dislocated millions of people from their homes. The extreme weather conditions caused the deaths of about two million people and $4.3 trillion in economic loss over the past half a century, and 90% of deaths were reported from developing countries. It has also been predicted that between 2030 and 2050, climate change is presumed to cause about 250,000 additional deaths per annum. The rapid rise in temperatures, frequencies of heat waves, wildfires, storms, and other weather extremes conditions could affect human health in many ways. The one-degree Celsius rise in outdoor temperature causes over 100,000 new cases of diabetes mellitus per annum. Climate change compromised body metabolism, vasodilation, sweating, insulin resistance and cause Type-2 diabetes mellitus and gestational diabetes Mellitus.

Exploring the adverse events of Oxford-AstraZeneca, Pfizer-BioNTech, Moderna, and Johnson and Johnson COVID-19 vaccination on Guillain-Barré Syndrome.

The vaccination against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is an important public health strategy to prevent people from the pandemic. Vaccines are a game-changing tool, it is essential to understand the adverse events after COVID-19 vaccination. This study explored the adverse events of COVID-19 Vaccination Oxford-AstraZeneca, Pfizer-BioNTech, Moderna, Johnson and Johnson on Guillain-Barré Syndrome (GBS). In this study, initially 128 documents were identified from the databases, including Pub-Med, Web of Science-Clarivate Analytics, Scopus, and Google Scholar. The articles on COVID-19 vaccination and GBs were searched using the keywords "SARS-CoV-2, COVID-19, Vaccination, and Guillain Barré Syndrome, GBS", finally, 16 documents were included in the analysis and synthesis. After administering 1,680,042,214 doses of COVID-19 vaccines, 6177 cases were identified with 10.5 cases per million vaccine doses. A significant positive risk was found between COVID-19 vaccine administration and GBS with a risk rate of RR 1.97 (95% CI 1.26-3.08, p = 0.01). The mRNA vaccines were associated with 2076 cases, and 1,237,638,401 vaccine doses were linked with 4.47 GBS events per million vaccine doses. The first dose of the m-RNA vaccine was associated with 8.83 events per million doses compared to the second dose with 02 events per million doses. The viral-vector vaccine doses 193,535,249 were linked to 1630 GBS cases with 11.01 cases per million doses. The incidence of GBS after the first dose was 17.43 compared to 1.47 cases per million in the second dose of the viral-vector vaccine. The adverse events of the Oxford-AstraZeneca vaccine were linked to 1339 cases of GBS following 167,786,902 vaccine doses, with 14.2 cases per million doses. The Oxford-AstraZeneca vaccine significantly increased the risk of GBS RR: 2.96 (95% CI 2.51-3.48, p = 0.01). For the Pfizer-BioNTech vaccine, there were 7.20 cases per million doses of the vaccine, and no significant association was identified between the Pfizer-BioNTech vaccine and GBS incidence RR: 0.99 (95% CI 0.75-1.32, p = 0.96). Moderna vaccine was related with 419 cases of GBS after administering 420,420,909 doses, with 2.26 cases per million doses. However, Johnson and Johnson's vaccination was linked to 235 GBS after 60,256,913 doses of the vaccine with 8.80 cases per million doses. A significant association was seen between the risk of GBS and Ad.26.COV2. S vaccine, RR: 2.47 (95% CI 1.30-4.69, p < 0.01). Overall, a significant association was seen between the COVID-19 vaccines and the risk of GBS. The incidence of GBS was higher after the first dose compared to GBS cases per million in the second dose.

Existential anxiety about artificial intelligence (AI)- is it the end of humanity era or a new chapter in the human revolution: questionnaire-based observational study.

Background: Existential anxiety can profoundly affect an individual, influencing their perceptions, behaviours, sense of well-being, academic performance, and decisions. Integrating artificial intelligence into society has elicited complex public reactions, marked by appreciation and concern, with its acceptance varying across demographics and influenced by factors such as age, gender, and prior AI experiences. This study aimed to investigate the existential anxiety about artificial intelligence (AI) in public in Saudi Arabia. Methods: The present questionnaire-based observational, analytical cross-sectional study with a structured, self-administered survey was conducted via Google Forms, using a scale to assess the existential anxiety levels induced by the recent development of AI. The study encompassed a diverse population with a sample size of 300 participants. Results: This study's findings revealed a high prevalence of existential anxieties related to the rapid advancements in AI. Key concerns included the fear of death (96% of participants), fate's unpredictability (86.3%), a sense of emptiness (79%), anxiety about meaninglessness (92.7%), guilt over potential AI-related catastrophes (87.7%), and fear of condemnation due to ethical dilemmas in AI (93%), highlighting widespread apprehensions about humanity's future in an AI-dominated era. Conclusion: The public has concerns including unpredictability, a sense of emptiness, anxiety, guilt over potential AI-related catastrophes, and fear of condemnation due to ethical dilemmas in AI, highlighting widespread apprehensions about humanity's future in an AI-dominated era. The results indicate that there is a need for a multidisciplinary strategy to address the existential anxieties in the AI era. The strategic approach must blend technological advancements with psychological, philosophical, and ethical insights, underscoring the significance of human values in an increasingly technology-driven world.

Identifying risk factors and mortality rate of premature coronary artery disease in young Saudi population.

Coronary artery disease is a leading cause of morbidity and mortality worldwide. It occurs due to a combination of genetics, lifestyle, and environmental factors. Premature coronary artery disease (PCAD) is a neglected clinical entity despite the rising number of cases worldwide. This study aimed to investigate the risk factors of premature coronary artery disease. In this study, we searched articles that had studied the risk factors of premature coronary artery diseases from January 2000 to July 2022 in Saudi Arabia in Web of Science, Pub Med, Scopus, Springer, and Wiley databases. The final analysis is based on seven articles. The smoking prevalence was 39%, diabetes mellitus 41%, hypertension 33%, overweight and obesity 18%, family history of coronary artery disease (CAD) 19%, dyslipidemia 37%, and the prevalence range of low-density lipoprotein cholesterol was 33.8-55.0%. The results revealed a mortality prevalence of 4% ranging from 2 to 8% which is similar to the prevalence in older patients which was 2-10%. Smoking, diabetes mellitus, hypertension, family history of CAD, dyslipidemia, and overweight/obesity are significantly and positively associated with premature coronary artery diseases. The health authorities should design and implement an intensive and effective prophylactic plan to minimize the subsequent impact of PCAD on the young population. In addition, early diagnosis of PCAD has great value in providing timely treatment, managing the patients, and minimizing the burden of the disease.

Medical knowledge of ChatGPT in public health, infectious diseases, COVID-19 pandemic, and vaccines: multiple choice questions examination based performance.

Background: At the beginning of the year 2023, the Chatbot Generative Pre-Trained Transformer (ChatGPT) gained remarkable attention from the public. There is a great discussion about ChatGPT and its knowledge in medical sciences, however, literature is lacking to evaluate the ChatGPT knowledge level in public health. Therefore, this study investigates the knowledge of ChatGPT in public health, infectious diseases, the COVID-19 pandemic, and its vaccines. Methods: Multiple Choice Questions (MCQs) bank was established. The question's contents were reviewed and confirmed that the questions were appropriate to the contents. The MCQs were based on the case scenario, with four sub-stems, with a single correct answer. From the MCQs bank, 60 MCQs we selected, 30 MCQs were from public health, and infectious diseases topics, 17 MCQs were from the COVID-19 pandemic, and 13 MCQs were on COVID-19 vaccines. Each MCQ was manually entered, and tasks were given to determine the knowledge level of ChatGPT on MCQs. Results: Out of a total of 60 MCQs in public health, infectious diseases, the COVID-19 pandemic, and vaccines, ChatGPT attempted all the MCQs and obtained 17/30 (56.66%) marks in public health, infectious diseases, 15/17 (88.23%) in COVID-19, and 12/13 (92.30%) marks in COVID-19 vaccines MCQs, with an overall score of 44/60 (73.33%). The observed results of the correct answers in each section were significantly higher (p = 0.001). The ChatGPT obtained satisfactory grades in all three domains of public health, infectious diseases, and COVID-19 pandemic-allied examination. Conclusion: ChatGPT has satisfactory knowledge of public health, infectious diseases, the COVID-19 pandemic, and its vaccines. In future, ChatGPT may assist medical educators, academicians, and healthcare professionals in providing a better understanding of public health, infectious diseases, the COVID-19 pandemic, and vaccines.