Exploring the Causal Relationship Between Modifiable Exposures and Diabetes Mellitus: A Two-Sample Mendelian Randomization Analysis.

Background Observational studies link lifestyle factors to diabetes, but confounding limits causal inference. This study employed Mendelian randomization (MR) to investigate the potential causal effects of major dietary, obesity, smoking, and physical activity exposures on diabetes risk. Methods A two-sample MR framework integrated FinnGen and United Kingdom Biobank (UKB) data. Genetic instruments for diet (fruits, vegetables, cheese), smoking (initiation, intensity, maternal), body mass index (BMI), and physical activity came from various consortia (n=64, 949-632, 802). Associations with diabetes odds were assessed using inverse-variance weighted analysis. Results Fruit and cheese intake and physical activity per standard deviation increase causally reduced diabetes risk in both cohorts. Conversely, smoking initiation, maternal smoking around birth, and BMI per standard deviation increase causally increased diabetes risk in both cohorts. Coffee increased diabetes risk only in FinnGen, whereas smoking intensity increased diabetes risk only in UKB. Conclusion This study provides robust evidence that modifiable lifestyle factors may have causal effects on diabetes risk. Fruit, cheese, and physical activity may protect against diabetes, whereas smoking, maternal smoking, and higher BMI appear to increase risk. Findings support public health interventions targeting diet, physical activity, smoking cessation, and healthy weight to combat the global diabetes epidemic.

Shifting spatial, temporal and demographic patterns of dengue incidence and associated meteorological factors in Jazan Region of Saudi Arabia from 2015-2020.

BACKGROUND: Dengue poses a considerable public health threat in Saudi Arabia, with escalating outbreaks in Jazan, where seasonal rains create ideal mosquito breeding conditions. Elucidating local epidemiological dynamics is imperative to strengthen evidence-based prevention policies. This study analyzed the spatiotemporal, demographic, and meteorological patterns of dengue in Jazan from 2015-2020. METHODS: This retrospective cross-sectional study utilized surveillance records for 3427 confirmed dengue cases. Descriptive analyses characterized geographic, seasonal, age, sex, and nationality distributions. Forecasting models project expected epidemics through 2025. Regression analysis identified climate factors associated with monthly case counts. RESULTS: Dengue exhibited shifting seasonal peaks, transitioning into year-round transmission by 2019, indicating endemic establishment. Cases clustered in different high-burden sectors annually, requiring localized vector control. The majority of affected individuals were young male adults, with gender gaps narrowing over time. Saudi nationals had an escalating incidence, but non-citizens showed a higher risk, signaling importation threats. Seasonal outbreaks were associated with temperature, wind speed, and direction. CONCLUSION: Enhanced surveillance, outbreak forecasting, targeted control activities, and integrated prevention policies grounded in continuous evidence assessment can effectively address endemic dengue transmission in Jazan. This study provides key insights to optimize data-driven decision-making for dengue control in Saudi Arabia.

Relationship Between Depression, Anxiety, Stress, and Weight Self-Stigma Among Youths in Saudi Arabia: A Nationwide Study.

Background and objectives Many research studies show that self-stigma related to weight can exacerbate mental health issues. There is also evidence suggesting that depression, anxiety, and stress could be predictors of weight stigma. However, these connections have not been thoroughly investigated among young people in Saudi Arabia, where there is a high prevalence of obesity. This study aimed to explore the relationships between depression, anxiety, stress, and weight self-stigma in Saudi Arabian adolescents and young adults. Materials and methods This cross-sectional study was conducted between January and March 2022 and utilized online surveys, including the Weight Self-Stigma Questionnaire (WSSQ) and Depression, Anxiety, and Stress Scale 21 (DASS-21). We conducted descriptive analysis, independent samples t-tests, analysis of variance (ANOVA), and linear regression for the statistical analysis using SPSS version 25 (IBM Corp., Armonk, NY). Results A total of 1624 participants were enrolled in this survey. Most participants (889, 54.7%) were females. The mean age was 20.73 years (SD: 2.63). Males were more likely to report self-stigma compared to females (p = 0.018). Weight self-stigma demonstrated significant positive associations with body mass index (BMI) (p = 0.0001) and depression, anxiety, and stress (p = 0.0001) scores. Further analysis revealed weight self-stigma was positively correlated with psychological distress levels in the study population (p = 0.0001). The results demonstrated a statistically significant difference between different regions of Saudi Arabia with weight self-stigma being more prevalent in the Al-Baha region and least prevalent in the Al-Madinah region. Conclusions The results of this study indicate robust positive correlations between weight self-stigma scores and depression, anxiety, and stress scale scores among adolescents and young adults in Saudi Arabia. Further epidemiological and clinical studies on the national level are warranted.

Associations of Electronic Device Use and Physical Activity with Headaches in Saudi Medical Students.

Background and Objectives: Primary headaches are highly prevalent among medical students, negatively impacting their health and academic performance. Excessive electronic device use has been implicated as a risk factor, in contrast to physical activity, which may be a protective factor; however, comprehensive data are lacking, especially for Saudi medical trainees. This study aims to investigate the associations between device use, exercise, and headaches among Saudi medical students. Materials and Methods: In this cross-sectional study, 504 medical students at Jazan University completed an online survey collecting sociodemographic factors, headache characteristics/triggers, electronic device habits, exercise frequency, and headache impacts. Descriptive analyses summarized sample characteristics. Logistic regression identified predictors of 12-month headache prevalence. Results: Overall, 83% reported experiencing headaches in the past year. High headache prevalence was observed among females (86.6%) and third-year students (88.3%). Using electronic devices ≥4 h daily was associated with higher adjusted odds of headaches (OR 13.89, 95% CI 1.96-98.54) compared to ≤1 h daily. Low physical activity (exercising 1 day vs. 7 days a week) also increased headache odds (OR 3.89, 95% CI 1.61-9.42). Headaches impairing productivity (OR 4.39, 95% CI 2.28-8.45) and exacerbated by exercise (OR 10.37, 95% CI 2.02-53.35) were further associated with headache susceptibility. Conclusions: Excessive electronic device use and physical inactivity appear to be modifiable risk factors for frequent headaches in Saudi medical students. Multifaceted interventions incorporating education campaigns, skills training, and support services focused on promoting responsible technology habits, and regular exercise may help mitigate headaches in this population. Robust longitudinal studies and trials are warranted to establish causal mechanisms between lifestyle factors and headaches among medical undergraduates.

Real-world effectiveness of COVID-19 vaccines: A retrospective cohort study of vaccinated individuals in Jazan, Saudi Arabia.

BACKGROUND: COVID-19 (Coronavirus Disease 2019) vaccinations are a critical control measure for the coronavirus pandemic that began in 2019. Several COVID-19 vaccines have been developed, and their effectiveness will almost certainly vary. OBJECTIVE: This study aimed to assess how effective two doses of the Pfizer and Oxford-AstraZeneca vaccines were in preventing SARS-CoV-2 infection six months after administration. METHODS: This is a retrospective cohort study of adult individuals from the Jazan Region of Saudi Arabia who received their second dose of the COVID-19 vaccine [Pfizer and Oxford-AstraZeneca (ASZ)] between April and June 2021. The monitoring and follow-up period continued until the end of January 2022. Data were retrieved from the Health Electronic Surveillance Network and National Vaccination Records. Logistic regression was performed to assess the risk of COVID-19 infection among the vaccinated subjects. RESULTS: This study included randomly enrolled 4458 participants in Jazan who received two doses of the COVID-19 vaccine during the research period. The majority of them received the Pfizer vaccine (3136/4458; 70.3%), while the remaining received the ASZ vaccine (1322/4458; 29.7%). The study participants' mean age was 59.7 years, with a male-to-female ratio of 1.9:1.0 (2920:1538). The results showed that the Pfizer and ASZ vaccines' protection against infection decreased from 93.2% and 90.2%, respectively, during the first three months, to 68.5% and 68.1% after a six-month interval. In the current study population, being Saudi Arabian, younger as well as having longer intervals between vaccines or crossing a 6-month period after the second vaccine dose were factors linked to higher rates of breakthrough infections. CONCLUSION: Our findings revealed variations in the efficacy of different COVID-19 vaccine types against COVID-19 breakthrough infections. The Pfizer (mRNA-based) vaccine was found to be relatively more effective than the ASZ (DNA-based) vaccine.

Assessing Continuity of Adherence to Precautionary Measures for COVID-19 among Vaccinated People in Jazan, Saudi Arabia.

BACKGROUND: Adherence to behavioral respiratory hygiene practices is essential in preventing the transmission of COVID-19, especially given the appearance of new variants of the COVID-19 virus. This study estimated the pre- and post-vaccination levels of adherence to COVID-19 preventive behavioral measures among vaccinated people. METHODS: This cross-sectional study assessed the sociodemographics and preventive behavioral measures, and pre- and post-vaccination data, via a questionnaire. Paired t-tests and Chi-squared tests were used to assess the variation in adherence levels. RESULTS: Of the 480 participants, 57.9% were male, and 30.4% were aged between 30 and 39 years of age. After vaccination, there was a statistically significant decline in adherence to all the assessed behavioral protective measures (p < 0.05). Being 50 years old or older, female, a healthcare worker, and a smoker were associated with higher adherence levels compared with other groups in the same categories. CONCLUSIONS: A change in the behavior of the community members regarding COVID-19 after receiving the vaccination and a reduction in adherence to respiratory hygiene practices was observed. This indicates the importance of raising awareness about the possibility of reinfection with COVID-19 despite the vaccination, and the importance of behavioral respiratory hygiene for the prevention and control of COVID-19.

Assessment of Medical Students Burnout during COVID-19 Pandemic.

This study estimated the prevalence of burnout and its determinants among medical students at Jazan University during the COVID-19 pandemic. A total of 444 medical students completed an online survey containing the Maslach burnout inventory. The prevalence of burnout was 54.5%. Burnout reached its peak during the fourth year whereas it was the lowest in the internship year. Being a resident in mountain areas, being delayed in college-level, being divorced, and having divorced parents were all associated with an increased risk of burnout. During their time at medical school, students generally showed a trend of consistently high scores in the personal accomplishment subscale, a decreasing trend in the emotional exhaustion subscale, and an increasing trend in the depersonalization subscale. The most important predictive factor was having separated parents. Perceived study satisfaction appeared to be a significant protective factor in a dose-response manner. These findings suggest that burnout among medical students during the COVID-19 pandemic is a concern that should be monitored and prevented.

The pattern of emergency department length of stay in Saudi Arabia: an epidemiological Nationwide analyses of secondary surveillance data.

Background: Emergency department length of stay is a vital performance indicator for quality and efficiency in healthcare. This research aimed to evaluate the length of stay patterns in emergency departments across Saudi Arabia and to identify predictors for extended stays. The study used secondary data from the Ministry of Health's Ada'a program. Methods: Using a retrospective approach, the study examined data from the Ada'a program on emergency department length of stay from September 2019 to December 2021. These data covered 1,572,296 emergency department visits from all regions of Saudi Arabia. Variables analyzed included quality indicators, year of visit, shift time, hospital type, and data entry method. The analysis was conducted using multiple linear regression. Results: The study found that the median length of stay was 61 min, with significant differences among related predictors. All associations were significant with a value of p of less than 0.001. Compared to 2019, the length of stay was notably shorter by 28.5% in 2020 and by 44.2% in 2021. Evening and night shifts had a shorter length of stay by 5.9 and 7.8%, respectively, compared to the morning shift. Length of stay was lower in winter, summer, and fall compared to spring. Patients in levels I and II of the Canadian Triage and Acuity Scales had longer stays than those in level III, with those in level I reaching an increase of 20.5% in length of stay. Clustered hospitals had a longer length of stay compared to the non-clustered ones. Pediatric hospitals had a 15.3% shorter stay compared to general hospitals. Hospitals with data entered automatically had a 14.0% longer length of stay than those entered manually. Patients admitted to the hospital had a considerably longer length of stay, which was 54.7% longer compared to non-admitted patients. Deceased patients had a 20.5% longer length of stay than patients discharged alive. Conclusion: Data at the national level identified several predictors of prolonged emergency department length of stay in Saudi Arabia, including shift time, season, severity level, and hospital type. These results underline the necessity of continuous monitoring and improvement efforts in emergency departments, in line with policy initiatives aiming to enhance patient outcomes in Saudi Arabia.

Burnout Among School Teachers During the COVID-19 Pandemic in Jazan Region, Saudi Arabia.

Background: Burnout is a syndrome that results from stressors in the work environment that have not been successfully managed. The prevalence of burnout among schoolteachers was always controversial. COVID-19 pandemic added more stressors to teachers since they had to change their working styles in response to the pandemic lockdowns or curfews. In Saudi Arabia, the prevalence and determinants of burnout among school teachers were not measured by any other group during the COVID-19 pandemic stressors. Methods: A cross-sectional survey was conducted among 879 teachers in the Jazan region, Saudi Arabia, using the Maslach Burnout Inventory (MBI), during April 2021. Multistage cluster random sampling was used. Results: The mean age of the participants was 41.4 (±6.9) years. Male teachers represented 52.6% of the participants while females represented 47.4%. Most teachers showed burnout symptoms (69.6%). Consequences of burnout were observed, such as using psychotropic medications (4.6%), absenteeism (45.6%), lack of job satisfaction (7.7%), and changing schools (15.8%). Using the MBI scale, most teachers showed medium or high emotional exhaustion (57.6%), low depersonalization (62.2%), and low personal accomplishment (51.4%). Conclusion: Most teachers showed symptoms of burnout during the COVID-19 pandemic. Being an expert and ability to adapt to technology during the COVID-19 pandemic proved to effectively reduce burnout symptoms. Increasing incentives, early detection, and improving the work environment is recommended to diminish burnout consequences.

Generalized anxiety disorder symptoms during COVID-19 pandemic in Jazan, Saudi Arabia.

The aim of this study was to measure anxiety levels and many co-factors that might influence the levels of anxiety during the COVID-19 outbreak in southern Saudi Arabia (KSA). A cross-sectional self-reporting survey was conducted to determine the level of generalized anxiety disorder (GAD) symptoms related to COVID-19 and quarantining. We selected a convenience sample of eligible participants who had been invited online through social media apps. The survey instrument was distributed, and 981 participants responded. Of the total sample, almost 90% were under the age of 40, 75% were women, and 77% had an educational level beyond high school. Just over half were single, with nearly all participants Saudi nationals. The overall prevalence of anxiety related to COVID-19 was 27%. Factors most strongly related to reporting anxiety included having a diagnosis of COVID-19, spending 1- ≥ 3 h focused on COVID-19, having a previous mental illness history, being a current or former smoker, being female, having a previous diagnosis of chronic or respiratory illness, being below age 40, having a limited standard of living, and being a student. Our study reveals how critical it is to emphasize preventive mental health care during pandemics and what factors may make some individuals most vulnerable to anxiety. Further research is recommended to examine GAD levels pre, during and post pandemic. Additional research to explore the long-term impact of the pandemic on mental health is also needed. being a student, and a limited standard of living.

Needlestick and sharps injuries among secondary and tertiary healthcare workers, Saudi Arabia.

AIM: The study aimed to assess the incidence of needlestick and sharps injuries among healthcare workers (HCWs) in the Jazan region of Saudi Arabia, as well as to determine whether there exists an association between hospital level and needlestick and sharps injuries rate. DESIGN: A cross-sectional survey was conducted among 609 randomly selected HCWs from nine general hospitals. METHODS: A self-administered questionnaire, which covered the structure and process of injection safety, was used for data collection. RESULTS: The overall needlestick and sharps injuries incidence rate was 24%. The needlestick and sharps injuries rates were 30% and 14% in secondary and tertiary hospitals, respectively. HCWs working in tertiary hospitals were 61% less likely to have needlestick and sharps injuries than those employed in secondary hospitals. This was mainly the impact of better and continuous training. High safety level maintenance and health education provision are vital in such settings.

Variations in length of stay of inpatients with COVID-19: A nationwide test of the new model of care under vision 2030 in Saudi Arabia.

OBJECTIVE: The coronavirus disease 2019 (COVID-19) has impacted the Kingdom of Saudi Arabia (KSA) as it has other nations. However, length of stay (LOS), as a healthcare quality indicator, has not been examined across the healthcare regions in the KSA. Therefore, this study aimed to examine factors associated with LOS to better understand the Saudi Health System's performance in response to the COVID-19 pandemic in the newly suggested five Saudi regional business units (BUs). METHODS: A retrospective study was conducted using Ministry of Health (MOH) data on hospital LOS during the period from March to mid-July 2020. Participants were adult inpatients (18 years or older) with confirmed COVID-19 (n = 1743 patients). The 13 regions of the KSA were united into the defined five regional BUs during the reorganization of the health system. Covariates included demographics such as age and sex, comorbidities, and complications of COVID-19. A multiple linear regression with stepwise forward selection was used to model LOS for other explanatory variables associated with LOS, including demographic, comorbidities, and complications. RESULTS: The mean LOS was 11.85 days which differed significantly across the BUs, ranging from 9.3 days to 13.3 days (p value < 0.001). BUs differed significantly in LOS for transferred patients but not for patients in the intensive care unit (ICU) or those who died in-hospital. The multiple regression analysis revealed that the LOS for inpatients admitted in the Eastern and Southern BUs was significantly shorter than for those in the Central BU. (p value < 0.001). Admission to the ICU was associated with lengthier stays (p value < 0.0001). Factors significantly associated with shorter stays (compared to the reference), were being Saudi, death during admission, and patients referred to another hospital (p value < 0.05). CONCLUSION: The LOS for patients with COVID-19 differed across the proposed regional healthcare BUs, suggesting regional differences in quality of care under the reorganization of the national health system. Since patient and disease characteristics did not explain these findings, differences in staffing and other resources need to be examined to develop interventions.

Regional differences in COVID-19 ICU admission rates in the Kingdom of Saudi Arabia: A simulation of the new model of care under vision 2030.

OBJECTIVE: Saudi Arabia has succeeded in having one of the lowest rates of COVID-19 worldwide due to the government's initiatives in taking swift action to control both the spread and severity of the virus. However, Covid-19 can serve as a test case of the expected response of the new healthcare system under Vision 2030. This study used data from the thirteen present administrative regions of KSA to simulate the variations in ICU admission as a quality indicator in the five business units proposed by a new Model of Care. METHODS: We determined the rates of ICU admission for patients with confirmed SARS-CoV-2 (COVID-19) from March to mid-July 2020. The final sample included 1743 inpatients with moderate to severe COVID-19. Patient characteristics, including demographics, pre-existing chronic conditions, and COVID-19 complications, were collected. Business units (BUs) were compared with respect to the relative odds of ICU admission by using multiple logistic regression. RESULTS: After keeping patient and clinical characteristics constant, clear BU differences were observed in the relative odds of ICU admission of COVID-19 patients. Inpatient admission to ICU in our total sample was almost 50%. Compared to the Central BU, the Northern and Western BUs showed significantly higher odds of ICU admission while the Eastern & Southern BUs had significantly lower odds. CONCLUSION: ICU use for COVID-19 patients differed significantly in KSA healthcare BUs, consistent with variations in care for other non-COVID-19-related conditions. These differences cannot be explained by patient or clinical characteristics, suggesting quality-of-care differences. We believe that privatization and the shift to fewer administrative BUs will help lessen or eliminate altogether the present variations in healthcare service provision.

Regional Differences in COVID-19 Mortality Rates in the Kingdom of Saudi Arabia: A Simulation of the New Model of Care.

Background This study aimed to assess regional COVID-19 mortality rates and compare the five proposed business units (BUs).  Methods A cross-sectional study was conducted in the Ministry of Health (MOH) hospitals in the Kingdom of Saudi Arabia (KSA). We included 1743 adults (≥ 18 years of age) with COVID-19 admitted to any of 30 MOH hospitals. Results The inpatients had confirmed mild to severe COVID-19 between March and mid-July 2020. The central BU (Riyadh) was used as the reference. MOH electronic health record data were reviewed and utilized, including variables reflecting hospital course (mortality and discharge status). The primary outcome was COVID-19-related inpatient death. Covariates included patient demographics, pre-existing chronic diseases, and COVID-19-related complications. The data were analysed using univariate and multivariate logistic regression. KSA inpatient mortality was 30%. Univariate and multivariate logistic regression analysis suggested that COVID-19-related mortality was significantly higher in the northern and western BUs and significantly lower in the southern and eastern BUs than in the central BU. On controlling for other variables, adjusted odds ratios (AORs) for essential COVID-19 mortality predictors during admission, using the central BU as a reference, were as 9.90 [95% CI, 4.53-21.61] and 1.55 [95% CI, 1.04-2.13] times higher in the northern and western BUs, respectively, and 0.60 [95% CI, 0.36-0.99] and 0.23 [95% CI, 0.14-0.038] times lower in the southern and eastern BUs, respectively. Conclusion The five BUs differed in COVID-19 mortality rates after adjusting for patient and disease characteristics, with the differences consistent with those in the regions comprising the BUs. These outcome differences apparently relate to differences in healthcare resources and quality.