Leena R. Baghdadi’s research while affiliated with King Saud University and other places

Purpose: Cycling is a popular activity for children aged 5–14 years and has a notable risk of head injuries. Extensive evidence shows that bicycle helmets can reduce the severity of head injuries and prevent fatalities. The current study examines the prevalence of bicycle helmet use among children (aged 5–17 years) in Saudi Arabia, parents’ attitudes and safety perceptions toward children’s bicycle helmets, and factors that influence parents’ decisions regarding their children’s bicycle helmets. Methods: This study used an analytical cross-sectional design via a validated questionnaire to examine parents’ attitudes toward helmet use for their children (aged 5–17 years) in Saudi Arabia. The study, which was carried out from September 2023 to September 2024, involved 492 participants (69.5% mothers and 30.5% fathers), and they were recruited from all regions of Saudi Arabia. A validated and translated questionnaire was used to assess helmet usage attitudes, considering demographic factors and potential confounders. Results: Approximately 60% of children wear helmets while cycling, despite a high mean attitude score of 5.49 (SD = 0.91), with 93.3% of respondents expressing strong support for mandatory helmet laws. While belief (mean (M) = 5.45) and knowledge (M = 4.63) scores were also high, they did not correlate with actual helmet use. Strong helmet regulations significantly increased usage rates (>80%). Helmet ownership and parental helmet-wearing habits were associated with higher usage among children, with mothers showing greater usage rates for younger children than fathers. Regression analyses indicated that parents who wore helmets as children were 5.85 times more likely to have their children wear helmets and parents who wore helmets themselves were 7.98 times more likely to ensure that their oldest child did so. Conclusions: While parents have positive attitudes toward helmet safety, actual helmet usage among children measures at approximately 60%. Sustainable helmet regulations and parental modeling, especially for parents who wear helmets, are crucial for improving safety.

This study aimed to assess and identify the risks for poor quality of life among female Saudi contraceptive users by administering an online questionnaire. The validity of the Arabic version of the Spanish Society of Contraception Quality of Life (SEC-QOL) questionnaire was assessed by incorporating the relevant items into an exploratory factor analysis and a subsequent confirmatory factor analysis. Internal consistency was assessed using Cronbach’s alpha coefficient. p < 0.05 was statistically significant. Questionnaires completed by 652 eligible women were analyzed. The most common contraception method was oral pills (51.5% of respondents). Analysis of the internal consistency of the questionnaire revealed that overall reliability was >0.7, which is considered adequate (Cronbach’s alpha = 0.845). Analysis of risk factors associated with higher overall SEC-QOL scores (worse overall quality of life) revealed several statistically significant variables. A “not good” relationship with their husbands, “heavy” menstrual flow, and premenstrual breast symptoms (breast pain, hypersensitivity, and increased size) were identified as risk factors for poor quality of life due to their association with the highest scores (poor quality of life). The Arabic version of the modified SEC-QOL is a valid and reliable tool to measure the quality of life of Saudi contraceptive users.

Background Artificial intelligence (AI) is widely used in various medical fields, including diagnostic radiology as a tool for greater efficiency, precision, and accuracy. The integration of AI as a radiological diagnostic tool has the potential to mitigate delays in diagnosis, which could, in turn, impact patients’ prognosis and treatment outcomes. The literature shows conflicting results regarding patients’ attitudes to AI as a diagnostic tool. To the best of our knowledge, no similar study has been conducted in Saudi Arabia. Objective The objectives of this study are to examine patients’ attitudes toward the use of AI as a tool in diagnostic radiology at King Khalid University Hospital, Saudi Arabia. Additionally, we sought to explore potential associations between patients’ attitudes and various sociodemographic factors. Methods This descriptive-analytical cross-sectional study was conducted in a tertiary care hospital. Data were collected from patients scheduled for radiological imaging through a validated self-administered questionnaire. The main outcome was to measure patients’ attitudes to the use of AI in radiology by calculating mean scores of 5 factors, distrust and accountability (factor 1), procedural knowledge (factor 2), personal interaction and communication (factor 3), efficiency (factor 4), and methods of providing information to patients (factor 5). Data were analyzed using the student t test, one-way analysis of variance followed by post hoc and multivariable analysis. Results A total of 382 participants (n=273, 71.5% women and n=109, 28.5% men) completed the surveys and were included in the analysis. The mean age of the respondents was 39.51 (SD 13.26) years. Participants favored physicians over AI for procedural knowledge, personal interaction, and being informed. However, the participants demonstrated a neutral attitude for distrust and accountability and for efficiency. Marital status was found to be associated with distrust and accountability, procedural knowledge, and personal interaction. Associations were also found between self-reported health status and being informed and between the field of specialization and distrust and accountability. Conclusions Patients were keen to understand the work of AI in radiology but favored personal interaction with a radiologist. Patients were impartial toward AI replacing radiologists and the efficiency of AI, which should be a consideration in future policy development and integration. Future research involving multicenter studies in different regions of Saudi Arabia is required.

Medication adherence is critical for the treatment and improved outcomes of chronic diseases. However, there is little research on the medication adherence of pediatric dialysis patients in Saudi Arabia. This study examines medication adherence barriers and their relationship to health determinants among Saudi children on dialysis, to enhance treatment success. We conducted a hospital-based, cross-sectional survey of pediatric dialysis patients using a simple random sampling technique. There is a trend of higher medication adherence for peritoneal dialysis patients compared with hemodialysis patients (36.1 ± 12.9 vs. 34.7 ± 8.3, p = 0.07). The leading barriers to medication adherence for all patients included being tired of taking the medication (score = 3.0256), not feeling like taking the medicine sometimes (score = 2.7436), bad taste (score = 2.5513), and forgetfulness (score = 2.41). Determinants of health were associated with medication adherence. Lack of education (56.4%) (some children underage for school) and chronic disease requirements (16.7%) were common barriers. After adjusting for the common confounders, the adherence scores increased significantly with increasing patient age (β = 2.378, p < 0.001), patients with working parents (β = 8.726, p = 0.011), and those living outside Riyadh (β = 19.198, p < 0.001). Medication adherence among pediatric dialysis patients is influenced by sociodemographic factors, health systems, and access to care. Evidence-based targeted interventions can increase medication adherence in this group on frequent dialysis. Future efforts should utilize systematic frameworks and digital health technologies to provide quality alternatives to improve medication adherence.

This quantitative observational cross-sectional study assessed the prevalence and level of risk scores for varicose veins among nurses, and the association between varicose veins and sociodemographic, occupational, and lifestyle risk factors. Using simple random sampling, from August–December 2022, 250 nurses from different departments at King Khalid University Hospital completed a validated self-administered questionnaire and underwent an observational physical examination. Most nurses (191) had low-risk scores for varicose veins, 46 nurses had moderate-risk scores, and 13 nurses had high-risk scores. From the outpatient clinics, 61.5% of nurses had significant high-risk scores for varicose veins. Those with a statistically significant association had a family history of varicose veins (p < 0.001) and other chronic medical conditions (p = 0.04). Physical activity, especially race-walking/running (p = 0.006), showed a statistically significant association with the varicose veins score. The years as a staff nurse were statistically significant among the occupational risk factors (p = 0.003). The adjusted multivariable regression model showed three significant predictors: a positive family history, running/walking, and total years as a staff nurse (p < 0.001, p = 0.02, and p < 0.001, respectively). Nurses working at outpatient clinics, positive family history, years as a staff nurse, and other chronic conditions are risk factors for varicose veins, while race-walking/running is a protective factor.

BACKGROUND Artificial intelligence (AI) is widely used in various medical fields, including diagnostic radiology as a tool for greater efficiency, precision, and accuracy. The integration of AI as a radiological diagnostic tool has the potential to mitigate delays in diagnosis, which could, in turn, impact patients’ prognosis and treatment outcomes. The literature shows conflicting results regarding patients’ attitudes to AI as a diagnostic tool. To the best of our knowledge, no similar study has been conducted in Saudi Arabia. OBJECTIVE The objectives of this study are to examine patients’ attitudes toward the use of AI as a tool in diagnostic radiology at King Khalid University Hospital, Saudi Arabia. Additionally, we sought to explore potential associations between patients’ attitudes and various sociodemographic factors. METHODS This descriptive-analytical cross-sectional study was conducted in a tertiary care hospital. Data were collected from patients scheduled for radiological imaging through a validated self-administered questionnaire. The main outcome was to measure patients’ attitudes to the use of AI in radiology by calculating mean scores of 5 factors, distrust and accountability (factor 1), procedural knowledge (factor 2), personal interaction and communication (factor 3), efficiency (factor 4), and methods of providing information to patients (factor 5). Data were analyzed using the student t test, one-way analysis of variance followed by post hoc and multivariable analysis. RESULTS A total of 382 participants (n=273, 71.5% women and n=109, 28.5% men) completed the surveys and were included in the analysis. The mean age of the respondents was 39.51 (SD 13.26) years. Participants favored physicians over AI for procedural knowledge, personal interaction, and being informed. However, the participants demonstrated a neutral attitude for distrust and accountability and for efficiency. Marital status was found to be associated with distrust and accountability, procedural knowledge, and personal interaction. Associations were also found between self-reported health status and being informed and between the field of specialization and distrust and accountability. CONCLUSIONS Patients were keen to understand the work of AI in radiology but favored personal interaction with a radiologist. Patients were impartial toward AI replacing radiologists and the efficiency of AI, which should be a consideration in future policy development and integration. Future research involving multicenter studies in different regions of Saudi Arabia is required.

Background Refractory (intractable/pharmaco-resistant) epilepsy in children is considered if disabling seizures continue despite appropriate trials of two anti-seizure drugs, either alone or in combination. Ketogenic diets are used as a treatment option in many countries for children with refractory seizures; however, few patients have tried it in Saudi Arabia. Therefore, we examined the relationship between the exposure to a ketogenic diet and its effect in decreasing seizure frequency in infants and children up to 14 years who had refractory epilepsy and assessed factors that could improve the outcome of seizures. Methods This cross-sectional study was conducted at King Fahad Medical City, Riyadh, Saudi Arabia. Data were collected by reviewing medical records of eligible children (infants and children up to 14 years old) with refractory epilepsy who were on ketogenic diets. Socioeconomic data of the parents (guardians) were collected via phone interviews after verbal consent from the parents (guardians). Results We recruited 95 children (aged 10 months to 14 years) with refractory epilepsy and on Ketogenic diets. Up to 44% of patients on 3:1 and 4.5:1 ratio ketogenic diets had decreased seizure frequency while patients on 1:1 and 2:1 ratio ketogenic diets showed no decrease in seizures. Patients with generalized epilepsy who were on ketogenic diets had the most improvement in seizure outcomes (56.1%) and patients on ketogenic diets who were ambulatory indoors and outdoors (66.7%) showed a high level of improvement in seizure outcomes compared to patients with who were non-ambulatory (21.9%). Lower improvements in seizure frequency in epileptic patients on ketogenic diets were associated with low education levels of parents (33.3% high school vs. 50% undergraduate school), low incomes [<11,400±7,560.864 Saudi riyal (SR)], and diagnosis of seizures in patients >8 years old. Conclusions Ketogenic diets are a promising approach for treatment of refractory epilepsy among children. The improvement in seizure outcomes was associated with higher ratios of ketogenic diets (3:1 and 4.5:1), and higher physical activity. Sociodemographic factors, including parents’ (guardians’) education levels and income influenced the improvement of seizures.