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.

Background: Cataract surgery is a day surgery, requiring older adults to manage their recovery independently after being discharged. Coping with post-operative challenges is crucial for faster recovery, as a patient's coping strategy can influence their engagement with their treatment. This fast-paced outpatient nature of cataract surgery requires adequate preparation and education from healthcare providers for patients returning to their homes on the same day of surgery. By combining educational sessions with personalized telephonic support, this research seeks to empower geriatric patients with the knowledge and skills necessary for effective self-management and coping during recovery. Aim: This study aimed to explore the impact of incorporating a self-care management program with telephone follow-up on geriatric patients' self-care compliance and coping post-cataract surgery. Settings: The study was conducted at the ophthalmology surgical inpatient department and the ophthalmology outpatient clinic of Damanhur Ophthalmology Hospital, a facility affiliated with the Egyptian Ministry of Health and Population. Subjects: the study included sixty older adult patients, who were undergoing cataract surgery during the data collection period and were conveniently recruited and randomly and evenly divided into control and intervention groups. Those patients aged 60 years and above, demonstrating effective communication skills, scheduled for their first cataract surgery, and admitted to the hospital at least 24 hours before the surgical procedure were included. Tools: three tools were used to collect data; Patients’ socio-demographic and clinical data sheet, Self-care compliance scale, and post-discharge coping difficulty scale (PDCDS). Results: The study group exhibited better self-practice compliance and coping abilities postoperatively compared to the control group. The study group consistently showed higher median scores in self-practice compliance and lower scores in post-discharge coping difficulty at the 2nd, 7th, and one-month postoperative assessments, indicating the effectiveness of the combined self-care management program and telephone support in improving patient outcomes. Conclusion: The study highlighted that implementation of the Self-care Management Program with Telephone Follow-up proved to be successful in enhancing geriatric patients' self-care practices compliance, as well as, decreasing their post-discharge coping difficulties. Recommendations: Develop and implement personalized self-care management programs for geriatric patients undergoing cataract surgery, tailored to their specific needs and challenges. Additionally, providing ongoing monitoring and support for those patients through telephone follow-up to offer guidance, reassurance, and assistance during the recovery period, helps to address any emerging issues or concerns promptly.

Background: Individuals' perspective on artificial intelligence may be influenced by their psychological factors, such as their emotional regulation styles. However, these concepts are typically examined in isolation. This article seeks to combine these two concepts by examining the relation between them among nursing educators. Aim: To explore the relationship between emotional regulation styles and perspectives on artificial intelligence among nursing educators and how age moderates this relation. Design: descriptive correlational research design. Setting: Faculty of Nursing, Alexandria University, Egypt. Subjects: A convenience sample of 184 nursing educators. Tools: (1) Nursing educators’ Personal Data Structured Questionnaire, (2) Perspectives toward Artificial Intelligence Structured Questionnaire (PAIQ), and (3) Emotional Style Questionnaire (ESQ). Results: The mean percent score of overall emotional regulation styles among all of the nursing educators was 60.90±12.41, indicating that they have a considerable degree of emotional health in general, with a significantly higher mean score among older participants (69.25±11.82) than their younger counterparts (56.17±11.05). Also, structural equation model approach found a significant main positive effect of emotional regulation styles on positive perspectives toward artificial intelligence (β=0.599 ، CR=3.155 ، P= 0.002(, and a significant main negative effect of age on positive perspectives toward artificial intelligence (β=-1.153 ، CR=-2.607 ، P= 0.009 .( These effects were moderated by a significant interaction between age and emotional regulation styles (β=-0.012 ، CR=-3.017 ، P= 0.003(. Conclusion: A significant positive relationship was found between the nursing educators’ overall emotional regulation styles score and positive perspectives on artificial intelligence which moderated by age. For illustration, the emotional regulation styles overall score has a stronger positive effect on positive perspectives on artificial intelligence for nursing educators of young age than for nursing educators of older age. Recommendations: It is critical to have candid discussions with nursing educators about artificial intelligence, so, they can offer their perspectives and influence how artificial intelligence will be used in education in the future. Also, older nursing educators who enjoy more healthy emotionality should be encouraged to support others of younger age during their emotional regulation difficulties, to improve camaraderie and productivity and facilitate the installation of new artificial intelligence tools.

Purpose: The study aimed to investigate the association between perceived social support and psychosocial adjustment of geriatric cancer patients undergoing chemotherapy. Methods: Two hundred geriatric patients provided consent were interviewed and the data collected using the Psychosocial Adjustment to Illness Scale (PAIS), the Multidimensional Scale of Perceived Social Support (MSPSS), In addition to demographic and clinical data. Data was collected from Kasr Al-Aini Center for Oncology and Nuclear Medicine, Cairo, Egypt after the study protocol was approved (Approval No. 10), August 2019. Correlations using Pearson and Spearman coefficients as well as binary logistic regression were used using The IBM SPSS software package, version 26. Results: The psychological distress domain was found to have the highest mean score (14.2±4.5) among the psychosocial adjustment domains, whereas extended family relations were found to have the lowest mean score 6.8 ± 2.09. The study also found that there was a significant negative correlation between the overall scores of the psychosocial adjustment scale and the multidimensional scale of perceived social support (p <0.001). Moreover, a significant negative correlation between the overall scores of the Multidimensional Scale of Perceived Social Support and the following sub- domains of the Psychosocial Adjustment Scale: health care orientation, extended family relations, and psychological distress (p <0.001) was detected. Those with high level of perceived social support were 0.044 times more likely to have high psychosocial adjustment compared to those with low level of perceived social support (p<0.001). Females were twice less likely to have high psychosocial adjustments compared to the males. Conclusion: Our findings indicate that there is an association between perceived social support and elderly' psychosocial adjustment. In addition, perceived social support is found to be an independent predictor of psychosocial adjustment. Therefore, establishing or strengthening the existing social structures throughout the treatment journey is recommended for elderly cancer patients.