We investigated the risk levels associated with diabetes mellitus. They were assessed based on whether anyone in their family had a history of diabetes. The data collected are measurements of blood pressure, weight, height, and smoking habits, as well as physical activity and educational status. Based on the American Diabetes Association's (ADA) recommendations, the questionnaire included a diabetes risk assessment. The risk of diabetes was 76.3% among participants with a family history of diabetes. There is a 41.1% chance of diabetes among those participants whose fathers had diabetes, and a 39.3% chance of diabetes among those participants whose mothers had diabetes. Additionally, those participants who have siblings with diabetes were 24% at high risk for developing diabetes. The prevalence of the risk of having a family history of diabetes is higher in the women in the family (RR = 3.12; P = 0.0001) as compared to the men in the family (RR = 1.9; P = 0.0001). Risk of diabetes more in the male (1.13 times higher) in the current study based on the ADA scale. There is evidence that various factors, including lifestyle choices, physical attributes, and family history, influence the risk of developing diabetes in the current study. The results of the current study indicate that there is a strong association between patients with T2D and those who have a family history of diabetes. Considering Saudi Arabia's high diabetes risk, evidence-based lifestyle modifications are needed.

This study aimed to compare different Body Mass Index (BMI) categories, body composition parameters, postural balance, and functional mobility among female students at a College of Applied Medical Sciences; and examine the relationship between BMI and body composition with postural balance and functional mobility among female students at the college of applied medical sciences. Female students, aged 18‒25 years old. They were subdivided into four groups according to their BMI category: underweight, normal, overweight, or obese, with n = 20 participants in each group. A Bioelectrical Impedance Human Body Analyzer (BIA) was used to assess the following body composition parameters: Fat Percentage (FATP), fat mass, muscle mass, and Total Body Water (TBW). A NeuroCom Balance Master was used to assess postural balance and functional mobility. A Timed Up and Go (TUG) test was employed to assess functional mobility. All data were analyzed using SPSS. Participants' ages and heights were matched (p > 0.05). However, there were variables that were statistically significantly higher in terms of weight, BMI and body composition, including FATP, fat mass, muscle mass, and TBW (p = 0.000), among the obese group. Moreover, postural balance was lower among the obese group. There was a significant relationship between BMI and body composition variables in respect of postural balance but not in relation to functional mobility. Postural instability but not functional mobility was related to higher BMI and body composition values among the study groups.

Background: The traditional face-to-face of medical education is gradually being replaced with online education. However, the rate of adoption of online continuing medical education (OCME) as a learning method among practicing clinical physiotherapists (PTs) is unclear. The objectives of this study were to measure the satisfaction with, attitudes towards, and impact of OCME among practicing clinical PTs in Saudi Arabia (SA) and to examine the factors that affect the findings for satisfaction, attitude, and impact towards OCME. Methods: This cross-sectional survey was conducted between October 2021 and January 2022. PTs employed at various medical facilities and specialties in Saudi Arabia completed an online survey to assess satisfaction with, attitudes towards, and impact of OCME. Results: Of the 127 participants, 48 were female (37.8%), 44.1% were aged between 24 and 30 years. Overall, 57.5% of the respondents were satisfied with OCME compared with conventional face-to-face education, and 45.7% agreed and 18.1% strongly agreed that OCME was more flexible. Further, 52.8% of the respondents thought that OCME programs could supplement traditional face-to-face education. The majority of the participants (63.8%) agreed that participating in OCME programs increased their knowledge, and 55.1% and 51.2% agreed that attending these programs improved patient outcomes and increased their confidence in patient management, respectively. However, only 38.6% agreed that participating in OCME programs enhanced their clinical expertise. The mean satisfaction, attitude, and impact scores differed significantly according to age group, marital status, number of years of practice, and specialty (p < 0.0001). Multiple regression analysis showed that older age was independently associated with better satisfaction and more positive attitudes and impact. Further, having a specialization also seemed to improve the impact of OCME. Conclusion: The PTs were satisfied with and had positive attitudes towards OCME, and also found that it had a positive impact on their clinical practice. Thus, existing OCME programs are a good option for expanding the number of PTs proficient in clinical care.

Background: The Kansas City Cardiomyopathy Questionnaire (KCCQ) is the most specific and widely used questionnaire for assessing health-related quality of life (HRQoL) in chronic heart failure (CHF). This study aimed to examine reliability and validity of the KCCQ in Arabic patients with CHF. Material and Methods: Patients with CHF filled out the Arabic versions of the Minnesota Living with Heart Failure (MLHF) and KCCQ questionnaire, and performed a six-minute walk test (6MWT) on their first visit. On the return, the patients filled out the KCCQ along with the global rating of change (GRC) scale. Internal consistency, test–retest reliability, and construct validity were examined. Results: A total of 101 Arabic patients with CHF, with a mean (SD) age of 55 (11) years old, completed the study. The Cronbach’s alpha was 0.97, and the ICC_2,1 = 0.95 (95%CI: 0.92 to 0.97, p < 0.001). The Arabic version of KCCQ was correlated with the MLHF (r = −0.57, p = 0.01) and with the 6MWT (r = 0.70, p < 0.001). Conclusions: The Arabic version of KCCQ is a reliable and valid measure of HRQoL, which could be utilized in routine clinical practice for Arabic-speaking patients with CHF.

Background: Artificial intelligence (AI) is increasingly integrated into healthcare, offering transformative potential across diagnostics, treatment, and clinical decision-making. As its adoption grows, understanding how medical doctors perceive and respond to AI, particularly in relation to their specialty, experience, and job security, is critical for effective implementation and acceptance. This study investigates the confidence of medical doctors in AI technologies and their role in healthcare, focusing on the impact of specialty, experience, and perceived job security. Method: A cross-sectional survey was conducted among 187 medical doctors across various specialties in Riyadh, Saudi Arabia, with a final sample of 176 participants. The survey assessed awareness, confidence, and concerns regarding AI integration into clinical practice. The survey was conducted across multiple healthcare hospitals in Riyadh, Saudi Arabia. Hospitals from both public and private sectors were included to ensure a diverse sample of healthcare professionals from different organizational structures. Results: A statistically significant association was found between specialty and confidence level (χ² = 14.5, p = 0.001). Among specialists, the majority (80%) reported high confidence in AI use compared to 45% of general practitioners and 38% of surgeons. Conversely, moderate confidence was most common among surgeons (46%), followed by general practitioners (35%) and specialists (13%). Additionally, participants with 11–20 years of experience reported the highest confidence, whereas those aged 55+ years showed the lowest perceived impact of AI on patient outcomes. Multivariate regression analysis identified specialty as the strongest predictor of AI confidence, with specialists being four times more likely to express high confidence in AI use (β = 0.89, p = 0.001) compared to general practitioners. Job displacement concerns negatively influenced confidence in AI, while age and years of experience had less impactful effects. Conclusions: The study concludes that addressing barriers to AI adoption will be crucial for enhancing its integration into healthcare and improving patient care. These findings underscore the importance of specialty-specific training and highlight the need for targeted educational programs, particularly for lower confidence groups such as general practitioners and surgeons. Lower confidence levels in these groups may result in a hesitant or incorrect use of AI tools, potentially compromising patient safety. Therefore, equipping all healthcare professionals with the necessary knowledge and confidence is essential for the safe and effective use of AI in clinical practice.

Background/Objectives: Functional electrical stimulation (FES) has been used to improve the quality of life of patients with stroke. Rehabilitation programs focus on standing and walking, which are vital to functional independence and keystone ingredients in functional competency. To examine the effects of simultaneous continuous ongoing FES of gluteus medius (GMed) and tibialis anterior (TA) muscles at isometric contraction during standing and walking in patients with stroke. Methods: Short- and long-term FES management programs of GMed and TA muscles during different conditions have been used in patients with stroke. FES was applied to hip abductors and dorsiflexor muscles of the affected limb during four different conditions: passive hip abduction and ankle dorsiflexion, respectively (condition 1), sit-to-stand (condition 2), 10 m walk test (condition 3), and walking on C-mill treadmill (condition 4). The Modified Ashworth Scale (MAS), Five Times sit-to-stand test (FTSST), 10-m walk test (10-MWT), and C-mill treadmill were used to assess spasticity in the hip adductor and calf muscles, sit-to-stand performance, and temporal–spatial characteristics, respectively. Results: Short- and long-term FES management programs significantly reduced spasticity in the hip adductor and calf muscles and improved sit-to-stand performance, gait speed, and gait temporal–spatial characteristics. Conclusions: Short- and long-term FES management programs of GMed and TA muscles can quickly and effectively improve the spasticity and ambulation of patients with stroke. Further research incorporating gait analysis with randomized controlled samples is needed.