Background: Stress urinary incontinence (SUI) is a prevalent condition among women in Saudi Arabia, characterized by involuntary urine leakage during physical activities that increase abdominal pressure, such as coughing or sneezing. This systematic review and meta-analysis aimed to evaluate the prevalence of SUI and identify its key risk factors. Methods: A comprehensive search of PubMed, Scopus, and Web of Science was conducted for studies published up to July 2024, following PRISMA 2020 guidelines. Results: Ten observational studies involving 18,245 participants met the inclusion criteria, and study quality was assessed using the Newcastle–Ottawa Scale. A random-effects model was employed for meta-analysis, with subgroup and sensitivity analyses performed to address heterogeneity. The pooled prevalence of SUI was 26% (95% CI: 14–41%, I² = 99%, p < 0.001), with rates ranging from 3.3% to 50%. Subgroup analysis showed a prevalence of 17% (95% CI: 1–42%, I² = 99%, p < 0.001) in the general population and 33% (95% CI: 19–48%, I² = 99%, p < 0.001) in specific groups, such as postpartum women and those with low back pain. Significant risk factors included age, obesity, high parity, and chronic conditions like diabetes. Despite high heterogeneity, sensitivity analyses confirmed the robustness of these findings. Conclusions: The findings underscore the need for public health strategies focused on weight management, pelvic floor rehabilitation, and increased awareness about SUI. Effective preventive measures could significantly reduce the burden of SUI and improve the quality of life for women in Saudi Arabia.

Background: Diabetic retinopathy (DR) is one of the leading causes of blindness among diabetic patients, particularly in areas with an increase in diabetes epidemics, such as Saudi Arabia. Notwithstanding the significant public health implications, data on the prevalence and risk factors of DR in Saudi Arabia are few and scattered, limited to certain geographic areas. Our study objective is to conduct a systematic review of the literature and a meta-analysis of the prevalence and predictors for DR in Saudi Arabia, within both type 1 and type 2 diabetes. Methods: A systematic review and meta-analysis were constructed according to PRISMA guidelines. We searched PubMed, Embase, Web of Science, and Google Scholar electronic databases for studies published from 2000–2023. Any study related to the prevalence of diabetic retinopathy in T1DM or T2DM among adult patients aged ≥18 years that was conducted in Saudi Arabia was included. Pooling prevalence estimates were calculated using a random-effects model, and heterogeneity across the studies was tested by the I² statistic and Cochran’s Q test. Results: A total of 11 studies published between 2006 and 2019 met the inclusion criteria, with sample sizes ranging from 99 to over 50,000 participants. The overall pooled prevalence of DR was estimated to be 31% (95% CI: 24–39%), with substantial heterogeneity observed across studies (I² = 99%). Prevalence estimates ranged from 16.7% to 69.8% and were influenced by variables such as study design, duration of diabetes, and glycemic control. Among individuals with type 2 diabetes, the pooled prevalence was 24% (95% CI: 20–28%). Poor glycemic control and longer diabetes duration were consistently identified as significant predictors of DR, while other factors, such as obesity and hypertension, were also associated with an increased risk of DR. Conclusions: The high prevalence of DR in Saudi Arabia highlights the critical need for focused public health initiatives, especially among those with type 2 diabetes. To minimize the effects of DR, early intervention, routine DR screening programs, and optimal diabetes control are essential. The increasing prevalence of DR in Saudi Arabia requires careful consideration of healthcare policy and resource allocation, which is made possible by our results.

Background: Obesity rates among Saudi adolescents are increasing, with regional variations highlighting the need for tailored interventions. School-based health programs in Saudi Arabia are limited and often emphasize weight and body size, potentially exacerbating body image dissatisfaction. There is limited knowledge on the feasibility of non–weight-centric educational programs in Saudi Arabia and their effects on health behaviors and body image. Objectives: This study aimed to (1) assess the prevalence of obesity using BMI-for-age z score (BAZ) and fat percentage among Saudi adolescents; (2) evaluate key health behaviors, cardiovascular fitness, and health literacy; and (3) assess the feasibility and impact of a low-intensity, non–weight-centric educational intervention designed to improve knowledge of macronutrients and metabolic diseases, while examining its safety on body image discrepancies. Methods: A quasi-experimental, pre-post trial with a parallel, nonequivalent control group design was conducted among 95 adolescents (58 boys and 37 girls; mean age 16.18, SD 0.53 years) from 2 public high schools in Medina City, Saudi Arabia. Participants were randomly assigned to either the weight-neutral Macronutrient + Non-Communicable Diseases Health Education group or the weight-neutral Macronutrient Health Education group. Anthropometry (BAZ and fat percentage), cardiovascular fitness, physical activity, and eating behaviors were measured at baseline. Independent t tests and χ² tests were conducted to compare group differences, and a 2-way mixed ANOVA was used to evaluate the effect of the intervention on macronutrient knowledge and body image discrepancies. A total of 69 participants completed the postintervention assessments. Results: The prevalence of overweight and obesity based on BAZ was 37.9% (36/95), while 50.5% (48/95) of participants were classified as overfat or obese based on fat percentage. Students with normal weight status were significantly more likely to have had prior exposure to health education related to metabolic diseases than students with higher weight status (P=.02). The intervention significantly improved macronutrient-metabolic knowledge (F_1,64=23.452; P<.001), with a large effect size (partial η²=0.268). There was no significant change in students’ body image from pre- to postintervention (P=.70), supporting the safety of these weight-neutral programs. The intervention demonstrated strong feasibility, with a recruitment rate of 82.6% and a retention rate of 72.6%. Conclusions: This study reveals a high prevalence of obesity among Saudi adolescents, particularly when measured using fat percentage. The significant improvement in knowledge and the nonimpact on body image suggest that a non–weight-centric intervention can foster better health outcomes without exacerbating body image dissatisfaction. Region-specific strategies that prioritize metabolic health and macronutrient education over weight-centric messaging should be considered to address both obesity and body image concerns in adolescents.

Background: Nursing students often experience high levels of stress during clinical training, particularly in maternal and child health (MCH) rotations, which may affect learning and well-being. Understanding stress levels, stressors, and coping strategies can inform the development of supportive and culturally appropriate educational approaches. Objective: To assess perceived stress levels, identify clinical stressors, and examine coping strategies among nursing students during MCH clinical rotations in Saudi Arabia. Methods: A cross-sectional study was conducted in 2024 among 187 female nursing students enrolled in MCH clinical rotations. Data were collected using validated Arabic versions of the Perceived Stress Scale (PSS-10), the Nursing Student Clinical Stressor Scale (NSCSS), and the Brief COPE Inventory. Descriptive statistics and Spearman’s rho correlation analyses were performed using SPSS. Results: Most students reported moderate perceived stress (75.4%), with a mean PSS-10 score of 20.5 ± 5.9. The highest stressor domains were MCH-specific challenges (9.13 ± 5.00), academic pressures (8.72 ± 3.95), and the clinical environment (7.65 ± 3.64). Religion (5.20 ± 2.06) and acceptance (4.79 ± 1.80) had the highest mean scores among coping strategies, while substance use was least reported (3.04 ± 1.40). Self-blame showed the strongest association with total clinical stressors (rho = 0.501, p <0.001). Conclusion: Female nursing students experienced moderate stress during MCH clinical rotations, largely related to clinical and academic demands. Coping strategies were predominantly emotion-focused, with self-blame showing a strong association with higher stress levels. These findings highlight the importance of culturally sensitive support strategies in nursing education.

Background/Objectives: Artificial intelligence (AI) is rapidly transforming healthcare. Its integration into community health nursing—a discipline centered on population-level prevention, health promotion, and primary care in community settings—remains insufficiently explored. This narrative review examines the opportunities, ethical challenges, and future directions for integrating AI into community health nursing education and practice. Methods: A literature search was conducted across PubMed, CINAHL, Scopus, Web of Science, and IEEE Xplore for publications between January 2017 and March 2026. The initial search yielded 612 records; after the removal of duplicates and screening of titles, abstracts, and full texts against predefined criteria, 58 sources were retained for thematic synthesis, comprising empirical studies, systematic and umbrella reviews, scoping reviews, meta-analyses, and authoritative policy documents. Screening and data extraction were performed by two reviewers, with disagreements resolved by discussion. Results: AI offers opportunities for community health nursing across four interconnected domains: clinical decision support for community-based assessments, predictive analytics for population health management, enhanced disease surveillance and outbreak detection, and personalized health education delivery. Significant challenges persist, including algorithmic bias, data privacy concerns, threats to the therapeutic nurse–client relationship, inadequate AI literacy among nursing faculty, and regulatory gaps. Most empirical evidence originates from hospital or general nursing settings; transferability to community contexts is therefore inferred rather than directly demonstrated. Conclusions: Responsible integration of AI into community health nursing requires curriculum reform, ethical governance frameworks, faculty development, equitable access, and interdisciplinary collaboration. AI should augment, not replace, the relational and culturally sensitive care that defines this discipline. Given the narrative nature of the review and the limited community-specific evidence, conclusions are framed as a vision of the AI–community health nursing interface rather than a definitive synthesis.

Background: Obesity is rising among Saudi adolescents, with rural females particularly underserved due to limited health education and sociocultural barriers. Global guidelines promote non–weight-centric approaches to reduce stigma. The Green Apple program delivers school-based, weight-neutral education, with an added metabolic noncommunicable disease (MNCD) prevention unit. Although previously tested in urban settings, it has not yet been evaluated among rural female students. Objective: This study aimed to examine the effectiveness of the Green Apple intervention in improving MNCD knowledge and its safety, defined as no adverse psychological (body image discrepancy and disordered eating) or behavioral (sedentary behavior) outcomes. Methods: This quasi-experimental study included 105 participants from urban and rural schools in Saudi Arabia, with 4 classes assigned to either the intervention group (Green Apple) or the enhanced intervention group (Green Apple+MNCD). Both programs were implemented in female-only classrooms by trained facilitators during regular school hours. The intervention was delivered once per week over 2 consecutive weeks (2 sessions), while the enhanced intervention included an additional third session. Linear mixed-effects models assessed intervention effects across three time points: baseline, postintervention, and 1-month follow-up. Results: The mean age across participants was 16.42 (SD 0.66) years, with a significant difference between groups: 15.97 (SD 0.41) years in the enhanced intervention group and 17.00 (SD 0.42) years in the intervention group ( P <.001). Both interventions significantly improved knowledge across schools. The enhanced intervention (Green Apple+MNCD) group demonstrated an increase of 1.65 (95% CI 0.61-2.70; P <.001) from baseline to follow-up, while the intervention (Green Apple) group showed an increase of 1.26 (95% CI 0.10-2.43; P =.02). However, no significant between-group differences were observed at baseline (mean difference 0.20, SE 0.46; P =.65), postintervention (mean difference 0.79, SE 0.45; P =.08), or follow-up (mean difference 0.73, SE 0.49; P =.13). Although sedentary behavior did not significantly decrease across all schools, a significant reduction was observed in rural schools receiving the Green Apple intervention (–3.12, 95% CI –5.67 to −0.56; P =.02). Regarding safety outcomes, no adverse effects on body image or disordered eating were observed. A significant reduction in disordered eating symptoms was found only in urban schools receiving the enhanced intervention (–0.94, 95% CI –1.61 to –0.26; P =.007). Conclusions: The Green Apple program is a culturally tailored, weight-neutral intervention that improves metabolic health literacy and reduces sedentary behavior among Saudi female adolescents without harming body image or eating behaviors. By focusing on an underserved subgroup, it addresses a key gap in health promotion and aligns with global calls for stigma-free approaches. Broader regional studies are needed to assess its long-term impact.