Proper dietary practices should be developed during the student years that will continue into the future. This study aimed to identify the eating habits and dietary practices among King Faisal University (KFU) students, explore the barriers to adherence to healthy eating, associate the understanding of healthy diets with students’ characteristics, and determine the association between body mass index (BMI) and awareness of the concept of healthy diets, academic discipline, and enrollment in a nutrition course. In this cross-sectional study, students were selected randomly and a questionnaire was distributed using an electronic platform through KFU email. Out of 564 students, nearly half (45.7%) reported eating snacks as their main food, and some (38.3%) reported eating with their family twice daily. The students rarely reported eating with friends (73%) or eating dates (48.8%). Furthermore, many reported that they were not consuming a balanced diet (42.6%). Some students (46.3%) reported taking breakfast daily, and 49.1% reported eating meals regularly. There was low consumption of vegetables (29.3%) and fruits (26.2%) among the students. The barriers to adherence to healthy eating were the availability of fast food (73.2%), high cost of healthy food (72.7%), limited time (59%), and laziness (57.1%). Statistically significant data indicated that the students with a normal BMI were more aware of the concept of healthy diets, studied medical and applied sciences, and were enrolled in KFU nutrition courses.

Biomedical waste (BMW) management is an essential practice of healthcare professionals (HCPs) for preventing health and also environmental hazards. Coronavirus disease (COVID-19) has become a global pandemic, posing significant challenges for healthcare sectors. A cross-sectional study was performed to assess the knowledge, practice, and attitude on BMW management among HCPs when taking care of patients with COVID-19 and associated with demographic variables. From Al-Ahsa healthcare sectors, 256 HCPs were selected randomly, of which 105 (41%) had excellent knowledge, 87 (34%) had good knowledge, and 64 (25%) had poor knowledge with a mean score of 13.1 ± 3.6. A higher mean score was (14.4 ± 3.2) obtained by physicians, and (13.6 ± 3.8) nurses than the other HCPs. Regarding practice, 72 (28.1%) HCPs used and discarded PPE while handling biomedical wastes. Additionally, 88 (34.4%) followed proper hand hygiene before and after each procedure and whenever needed. Physicians, nurses, and respiratory therapists had a more favorable attitude than other HCPs. There was a statistically significant association found among knowledge level and educational qualification (p < 0.0001), gender (p < 0.001), and work experience (p < 0.05). Emphasis is needed to train all HCPs regarding proper BMW management during this pandemic to prevent infection transmission.

Aim: This study aimed to investigate the association between dental anxiety (DA) and oral-health-related quality of life (OHRQoL) among rural community-dwelling older adults. Methods: A cross-sectional descriptive study was conducted among 390 rural community-dwelling older adults attending outpatient clinics of the Damanhur National Medical Institute during the year 2021. Three instruments were used: a demographic and clinical data structured interview schedule, Modified Dental Anxiety Scale (MDAS), and the Oral Health Impact Profile (OHIP-5) questionnaire. All statistical analyses were considered significant at a p-value of ≤0.001. Results: The main results showed that the prevalence of DA among participants was 90.5%, and 66.9% of the studied elderly population were either extremely (phobic) or very anxious. Moreover, a significant association was found between older adults’ DA and their OHRQoL (p ˂ 0.001). Conclusions: It was concluded that DA represents a common problem among rural community-dwelling older adults and is a predictor for poor OHRQoL. Raising community awareness about the importance of oral health and implementing measures to avoid DA through specialized community campaigns is recommended, particularly in rural areas.

Computer-based learning has numerous advantages. It gives students the chance to accommodate and solve problems independently, it can increase motivation during the learning process, and it offers students direct feedback. Students will also receive an authentic learning experience, increasing their level of knowledge retention. It can assist nursing educators in improving learning outcomes. Aim: This study aimed to investigate and evaluate the impact of computer-based scenarios on undergraduate nursing students’ decision-making skills. Sample: There was a total sample of 112 nursing students who were enrolled in a critical care nursing course at the College of Applied Medical Sciences in Saudi Arabia. These students were divided into two groups. Methods: The two groups were taught the same topic for one week. Two case scenarios were given to each group during the clinical rotation. The study group used the computer-based case scenario, and the control group used the paper-based case scenario. The two groups were compared regarding their decision-making skills. The student’s feedback about the computer-based case scenarios was also investigated. Results: The study group scored significantly higher in their decision-making skills when compared to the control group. In addition, the study group reported that they highly agreed that their general learning and specific nursing abilities improved after using computer-based case scenarios.

Background: Poor sleep quality, depression, and anxiety are common comorbidities among individuals with chronic respiratory diseases (CRDs). However, there has been no work to estimate their prevalence and assess their associations among the CRDs population in Saudi Arabia. Methods: A cross-sectional study was conducted in primary healthcare centers and included a total of 390 patients. Structured self-administered questionnaires were completed that included the Sleep Quality Pittsburgh Sleep Quality Index (PSQI) and Hospital Anxiety and Depression Score (HADS). Multiple linear regression analyses were performed to assess the associations between patients’ characteristics and sleep disturbance, anxiety and depression. Results: Poor sleep quality, depression, and anxiety affect 75%, 49.2%, and 36.4% of the study participants, respectively. The PSQI was significantly correlated with anxiety (r = 0.30) and depression (r = 0.16). Furthermore, a significant correlation was found between anxiety and depression (r = 0.44). The predictors of poor sleep quality were age, gender, and family history of CRDs, education level and anxiety and these variables accounted for 0.19% of the variance in PSQI. Variables that independently predicted an increased level of depression were age, gender, marital status, family history of CRDs, diagnosis, previous hospital admission, the presence of comorbidities, dyspnea last month and anxiety. On the other hand, the variables that independently predicted an increased level of anxiety were age, BMI, family history of CRDs, previous hospital admission, the presence of comorbidities, dyspnea last month and depression. Conclusion: Healthcare providers managing patients with CRDs should be alert to the high prevalence of poor sleep quality, depression, and anxiety. Appropriate interventions to reduce the prevalence should be developed and timely applied.