The Impact of the Working Hours Among Malaysian Nurses on Their Ill-Being, Intention to Leave, and the Perceived Quality of Care: A Cross-Sectional Study During the COVID-19 Pandemic.

Purpose: This study explores the effect of working duration on nurses and their ill-being (ie, anxiety, depression, fatigue, and sleepiness), intention to leave, and the quality of nursing care. Methods: A questionnaire survey was employed for a convenience sample of 400 nurses at Malacca General Hospital in Malaysia who voluntarily participated in this cross-sectional study. The Statistical Package for the Social Sciences (SPSS) was used to treat and analyze the data. Descriptive statistics were generated, and Post Hoc analyses and ANOVA tests were conducted. Results: Findings indicated that working hours duration was significantly associated with nurses' anxiety (F (4, 394) = 10.362, p <0.001), depression (F (4, 395) = 23.041, p< 0.001), fatigue (F (4, 395) = 24.232, p< 0.001), sleepiness (F (4, 395) = 4.324, p < 0.002), quality of nursing care (F (4, 395) = 16.21, p <0.001) and intention leave their job, (F (4, 395) = 50.29, p <0.001). The results also revealed that working more than 14 hours was negatively associated with their perceived quality of nursing care and positively associated with their perceived ill-being and intention to leave. Conclusion: Shift length is an important issue, and nursing managers must consider shift length as it can adversely correlate with the nurses' perceptions of work and life.

Risk of depression, anxiety, and stress among the Saudi general population during the COVID-19 pandemic.

BACKGROUND: Promoting mental health and wellness is crucial for healthy communities. This study aims to assess the vulnerability of experiencing psychological reactions such as depression, anxiety, and stress within the general population in Saudi Arabia during the COVID-19 pandemic. METHODS: A cross-sectional online survey was completed by 754 participants recruited from thirteen regions of Saudi Arabia. The information on background variables was obtained by using a set of close-ended questions. The DASS-21, a screening tool was used to assess the risk of depression, anxiety, and stress. Pie-chart displayed the levels of risk to experience psychological reactions. The Chi-square test and Adjusted Odd Ratios (AOR) reported the risk factors associated with experiencing psychological reactions in the study population. RESULTS: The vulnerability to mild to extremely severe levels of stress, anxiety and depression were (36.5%), (34.9%), and (43.5%), respectively. Findings demonstrated that females were at higher risk to experience anxiety (AOR = 1.56; 95% CI 1.11-2.18) and stress (AOR = 1.48; 95% CI 1.10-2.10) as compared to males. Unmarried individuals had higher vulnerability for anxiety (AOR = 1.60; 95% CI 1.04-2.44) and depression (AOR = 1.55; 95% CI 1.02-2.37) as compared to married individuals. Those who lost their job during the pandemic had a higher risk to experience anxiety (AOR = 2.02; 95% CI 1.10-3.74) and depression (AOR = 2.01: 95% CI 1.09-3.87) as compared to those who remain employed. Diagnosis with COVID-19 was associated with anxiety (AOR = 2.40; 95% CI 1.27-4.52) and stress (AOR = 2. 0; 95% CI 1.10-3.69). Participants with chronic medical conditions were almost twice at risk to experience stress (AOR = 2.0; 95% CI 1.38-2.87) depression (AOR = 2.14; 95% CI 1.53-2.99) and anxiety (AOR = 2.59; 95% CI 1.78-3.78) as compared to those without such conditions. CONCLUSIONS: Findings imply the allocation of adequate psychological resources to prevent long-term psychological repercussions in at-risk populations such as females, unmarried individuals, those who lost their jobs, diagnosed with COVID-19 and those with chronic medical conditions.

Remotely Monitoring COVID-19 Patient Health Condition Using Metaheuristics Convolute Networks from IoT-Based Wearable Device Health Data.

Today, COVID-19-patient health monitoring and management are major public health challenges for technologies. This research monitored COVID-19 patients by using the Internet of Things. IoT-based collected real-time GPS helps alert the patient automatically to reduce risk factors. Wearable IoT devices are attached to the human body, interconnected with edge nodes, to investigate data for making health-condition decisions. This system uses the wearable IoT sensor, cloud, and web layers to explore the patient's health condition remotely. Every layer has specific functionality in the COVID-19 symptoms' monitoring process. The first layer collects the patient health information, which is transferred to the second layer that stores that data in the cloud. The network examines health data and alerts the patients, thus helping users take immediate actions. Finally, the web layer notifies family members to take appropriate steps. This optimized deep-learning model allows for the management and monitoring for further analysis.

Feelings, Behavioral Actions and Depressive Symptoms Related to COVID-19 among Undergraduates in Hail, Saudi Arabia.

The severe acute respiratory syndrome coronavirus 2 (COVID-19) outbreak has had a profound psychological impact on university undergraduates. Feelings, behavioral actions, and depressive symptoms related to COVID-19 in undergraduates in Hail, Saudi Arabia, were assessed using an online survey. Eighteen feelings and six behavioral acts were assessed. The Center for Epidemiological Studies Depression Scale was used to measure depressive symptomatology. Descriptive statistics and logistic regression techniques were used. The mean age of the participants (n = 418) was 20.2 years (standard deviation (SD) = 1.8 years), and 52.9% (n = 221) were males. Elevated levels of depressive symptoms were reported by 47.1% of male and 51.3% of female participants. Social isolation, loss of interest, obsessive monitoring of symptoms, concentration difficulties, recurrent negative thoughts, and worries about health services emerged as vital negative feelings related to COVID-19 that were expressed by the participants. Younger age (odds ratio (OR) = 0.636, 95% confidence interval (95% CI) = 0.428-0.946) and coming from the middle-income category (OR = 0.388, 95% CI = 0.151-0.994) were found to be protective factors against developing depressive symptoms. Frequent cleaning of hands, wearing masks when going out, and adherence to social distancing rules were practiced by 71.5% (95% CI = 67.2-75.8%), 78.7% (95% CI = (74.4-82.5%) and 66.0% (95% CI = (61.3-70.5%) of the participants, respectively. These behavioral acts were not associated with the development of depressive symptoms. Although the practice of COVID-19 precautionary measures by the participants was satisfactory, nearly half of the participants reported depressive symptoms. Innovative educational strategies are needed to curb concentration difficulties and social isolation experienced by undergraduates during outbreaks such as COVID-19.

Depressive Symptomatology and Practice of Safety Measures among Undergraduate Students during COVID-19: Impact of Gender.

The COVID-19 pandemic has greatly affected the personal and academic lives of undergraduates in Saudi Arabia. Although studies have suggested that COVID-19 increased the prevalence of psychological health problems among undergraduates, the associations between the risk of depression and safety practices and the influence of gender on these associations have not been studied in detail. A cross-sectional online survey was conducted among preparatory-year undergraduates in a large public university in Saudi Arabia during the outbreak. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression (CES-D) Scale, and the practice of eight precautionary behaviors was also assessed. Data analysis was performed using the chi-square test, multiple linear regression and Spearman's correlation coefficient. In total, 3044 undergraduates were surveyed. The mean age was 18.6 years (SD = 0.84), and 61.9% (n = 1883) of the participants were female. Overall, 47.7% of the participants reported having elevated depressive symptoms. Overall mean values of CES-D scores were higher among female undergraduates than that of male undergraduates (18.08 versus 15.56, p < 0.01). There were inverse and weak but significant relationships between the CES-D score and frequent cleaning of hands (male: r = -0.116, p < 0.01; female: r = -0.098, p < 0.01), wearing a mask when going out (male: r = -0.172, p < 0.01; female: r = -0.135, p < 0.01), keeping social distance (male: r = -0.117, p < 0.01; female: r = -0.147, p < 0.01), and covering the nose when sneezing (male: r = -0.202, p < 0.01; female: r = -0.115, p < 0.01). Regression analysis indicated that adherence to precautionary measures was a strong predictor of reduction of depressive symptoms in the target population. Male gender was also found to be an independent predictor of reduction of depressive symptoms. Depressive symptoms were highly prevalent in this target group, and female undergraduates seemed to be more vulnerable to developing such symptoms. Results also indicated that female undergraduates were more likely to implement the protective measures for COVID-19. The promotion of precautionary measures seems to be effective in reducing distress in this target population, but further research is needed to confirm our assertions.