Artificial intelligence (AI) is transforming health profession education (HPE) through personalized learning technologies. HPE students must also learn about AI to understand its impact on healthcare delivery. We examined HPE students’ AI-related knowledge and attitudes, and perceived challenges in integrating AI in HPE. This cross-sectional included medical, nursing, physiotherapy, and clinical nutrition students from four public universities in Jordan, the Kingdom of Saudi Arabia (KSA), the United Arab Emirates (UAE), and Egypt. Data were collected between February and October 2023 via an online survey that covered five main domains: benefits of AI in healthcare, negative impact on patient trust, negative impact on the future of healthcare professionals, inclusion of AI in HPE curricula, and challenges hindering integration of AI in HPE. Of 642 participants, 66.4% reported low AI knowledge levels. The UAE had the largest proportion of students with low knowledge (72.7%). The majority (54.4%) of participants had learned about AI outside their curriculum, mainly through social media (66%). Overall, 51.2% expressed positive attitudes toward AI, with Egypt showing the largest proportion of positive attitudes (59.1%). Although most participants viewed AI in healthcare positively (91%), significant variations were observed in other domains. The majority (77.6%) supported integrating AI in HPE, especially in Egypt (82.3%). A perceived negative impact of AI on patient trust was expressed by 43.5% of participants, particularly in Egypt (54.7%). Only 18.1% of participants were concerned about the impact of AI on future healthcare professionals, with the largest proportion from Egypt (33.0%). Some participants (34.4%) perceived AI integration as challenging, notably in the UAE (47.6%). Common barriers included lack of expert training (53%), awareness (50%), and interest in AI (41%). This study clarified key considerations when integrating AI in HPE. Enhancing students’ awareness and fostering innovation in an AI-driven medical landscape are crucial for effectively incorporating AI in HPE curricula.

This study aimed to evaluate the health-related quality of life (HRQOL)of Emirati people with diabetes and to explore the sociodemographic and disease-related variables affecting it. The Arabic version of the World Health Organization quality of life questionnaire, short version (WHOQOL-BREF) was administered to 200 people with diabetes. The overall mean score was 63.1 (SD 15.0), ranging from 61.5 to 65.5 on subscales. Three factors significantly influenced the total HRQOL: presence of diabetes complications, duration of diabetes and marital status. Presence of complications was the most powerful variable influencing the 4 domains of HRQOL, especially the physical domain. Duration of diabetes did not influence the psychological domain and marital status did not influence the physical and psychological domains. The study provides further evidence of the usefulness and reliability of the Arabic WHOQOL-BREF.

Objectives To estimate the prevalence and predictors of obesity among adolescents in the United Arab Emirates. Design Cross-sectional study. Setting Private and public secondary schools. Participants Adolescents aged 13–19 years; 434 (46.6%) from private schools and 498 (53.4%) from public schools. Measures Self-report questionnaires were used to assess adolescents’ sociodemographic factors, fruit/vegetable (F/V) intake and physical activity. Participants’ weight, height, waist circumference (WC), hip circumference and body fat percentage (%BF) were measured, and waist-to-height ratio (WHtR), waist-to-hip ratio (WHR) and body mass index (BMI) were calculated. Overweight/obesity was determined by BMI ≥85th percentile for age, abdominal obesity (AO) (WC, WHtR and WHR) and %BF. Results A total of 34.7% of participants were overweight/obese (BMI ≥85th percentile) and 378 (40.6%) had high %BF. AO was noted in 47.3%, 22.7% and 27.1% of participants, based on WC, WHR and WHtR, respectively. Significantly more participants from public schools were overweight/obese (37.8% vs 31.1%) and had greater AO (based on WC, WHR, WHtR) compared with those from private schools. Predictors of obesity based on BMI were: consuming less than five servings of F/V (adjusted OR (AOR) 2.41, 95% CI: 1.73 to 3.36), being physically inactive (AOR 2.09, CI: 1.36 to 3.22) and being men (AOR 3.35, 95% CI: 2.20 to 5.10). Predictors of AO were being men (WC: AOR 1.42, 95% CI: 1.01 to 2.00; WHtR: AOR 2.72, 95% CI: 1.81 to 4.08); studying at public school (WHR: AOR 1.67, 95% CI: 1.06 to 2.66); being Emirati (WHR: AOR 0.62, 95% CI: 0.43 to 0.90); consuming less than five servings of F/V (WC: AOR 1.71, 95% CI: 1.27 to 2.30; WHtR: AOR 1.46, 95% CI: 1.05 to 2.03), and being physically inactive (WC: AOR 1.63; 95% CI: 1.13 to 2.35). Conclusions Focused interventions are needed to combat obesity while considering AO indicators and BMI to diagnose obesity in adolescents.

Background: Stress is globally recognised as a risk factor impacting workers’ health and workplace safety. Women healthcare professionals are at risk for considerable stress given the demanding nature of their jobs and current working conditions. This study assessed levels of stress among women healthcare professionals using measures of their cortisol levels, subjective stress and quality of sleep. Participants and Methods: This study used a cross-sectional design. Data were collected from 335 apparently healthy adult women healthcare professionals working in the United Arab Emirates. Participants provided morning and bedtime saliva samples for analysis of their cortisol levels. The Perceived Stress Scale, Stress Symptoms Scale, Brief Coping Scale and Pittsburgh Sleep Quality Index were used to assess perceived stress level, symptoms of stress, stress-coping strategies and sleep quality, respectively. Results: In total, 121 (36.15%) women had impaired morning cortisol levels (below the normal range of 0.094– 1.551 μg/dL) and 48 (14.3%) had impaired bedtime cortisol levels (above 0.359 μg/dL). Around 57% of women reported moderate levels of perceived stress, with the most frequently reported stress symptoms being heart rate and back/neck pain. Poor sleep quality was reported by around 60% of participating women. No significant association was found between cortisol and psychosocial measurements of stress or sleep quality. However, night shift and longer shift duration (more than 8 hrs) were significantly associated with impaired morning and bedtime cortisol levels (P ≥ 0.05). Impaired cortisol levels were strongly dependent on using adaptive coping strategies such as active coping, acceptance and seeking emotional support (P ≥ 0.05). Conclusion: Evaluating cortisol levels and subjective stress could help to identify groups with impaired response to stress and elevated cortisol levels. Our findings support the need to examine shift work patterns and stress coping strategies in women healthcare professionals to promote their health and productivity and maintain workplace safety.

Purpose: Postpartum depression received almost no attention in the United Arab Emirates (UAE). The aim was to examine the prevalence of depressive symptomatology and the associated risk factors among women in the UAE. Methods: A prospective cohort study recruited women from postpartum wards in hospitals across four emirates in the UAE. Women completed questionnaires immediately after childbirth and at 3 and 6 months postpartum. Depressive symptomatology was measured using the Edinburgh Postnatal Depression Scale (EPDS > 12). Risk factors were identified using the generalized estimating equation. A stratified analysis of the postpartum period was performed. Results: Among the 457 women recruited, 35% exhibited depressive symptomatology within the first 6 months postpartum. Younger women (< 25 years), part-time employment, the receipt of financial support from the family, and difficulty in managing monthly income were associated with a higher risk of postpartum depression. Husband’s employment, husband’s support, and living in own house were associated with a lower risk of postpartum depression. Maternity leave of more than 3 months increased the risk of depression during the first 3 months postpartum. From 3 to 6 months postpartum, Muslim women had a higher risk of depression whereas women who breastfed other children and in the past 7 days, and perceived their infant as healthy had a lower risk of depression. Conclusions: The prevalence of maternal depressive symptomatology is considerable in the UAE. Risk factors change over the 6-month postpartum period suggesting the need for an innovative multidisciplinary approach to the management of postpartum depression, including follow-up screening.