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Background Controlling smartphone addiction and procrastination among nurses is crucial for enhancing the productivity of both nursing and the healthcare system. Critical care nurses are highly vulnerable to smartphone addiction and procrastination behaviors than other groups. They may purposefully delay their tasks, a practice known as active procrastination, or inadvertently delay them, a practice known as passive procrastination. Aim This study was designed to assess the prevalence of smartphone addiction and procrastination behavior among nurses, examine the effect of smartphone addiction on the active and passive procrastination behaviors, and explore the correlation between active and passive procrastination behaviors among nurses. Method This is a descriptive correlational exploratory study that was conducted at 23 critical care units of one large educational hospital in Egypt. Data were collected from 360 nurses who were conveniently selected using three tools: the Smartphone Addiction Inventory, the New Active Procrastination Scale, and the Unintentional Procrastination Scale. Correlation and regression analyses were conducted to test the hypothetical relationship among the study variables. Results This study revealed that 55.0%, 80.0%, and 45.3% of nurses had a moderate perceived level of smartphone addiction, active procrastination behavior, and passive procrastination behavior, respectively. There is a significant positive correlation between smartphone addiction and both nurses’ active and passive procrastination behaviors. Smartphone addiction accounts for 25% of the variance in nurses’ active procrastination behavior and 18% of the variance in their passive procrastination. Furthermore, there is a moderately significant negative correlation between nurses’ active procrastination behavior and their passive procrastination behavior. Conclusion Nurses are exhibiting moderate levels of smartphone addiction and procrastination, which is a significant threat to the healthcare industry and nursing productivity. This requires technological, educational, and organizational interventions that foster active procrastination and combat passive procrastination behaviors among nurses. Implications Continuous training programs are required to enhance time management skills among nurses and increase the awareness of nurse managers with the symptoms of smartphone addiction among nurses. Nurse leaders should early detect and address the addictive use of smartphones among nurses, identify potential procrastinators, and provide counseling to eradicate these behaviors in the workplace.
Background Controlling smartphone addiction and procrastination among nurses is crucial for enhancing the productivity of both nursing and the healthcare system. Critical care nurses are highly vulnerable to smartphone addiction and procrastination behaviors than other groups. They may purposefully delay their tasks, a practice known as active procrastination, or inadvertently delay them, a practice known as passive procrastination. Aim This study was designed to assess the prevalence of smartphone addiction and procrastination behavior among nurses, examine the effect of smartphone addiction on the active and passive procrastination behaviors, and explore the correlation between active and passive procrastination behaviors among nurses. Method This is a descriptive correlational exploratory study that was conducted at 23 critical care units of one large educational hospital in Egypt. Data were collected from 360 nurses who were conveniently selected using three tools: the Smartphone Addiction Inventory, the New Active Procrastination Scale, and the Unintentional Procrastination Scale. Correlation and regression analyses were conducted to test the hypothetical relationship among the study variables. Results This study revealed that 55.0%, 80.0%, and 45.3% of nurses had a moderate perceived level of smartphone addiction, active procrastination behavior, and passive procrastination behavior, respectively. There is a significant positive correlation between smartphone addiction and both nurses’ active and passive procrastination behaviors. Smartphone addiction accounts for 25% of the variance in nurses’ active procrastination behavior and 18% of the variance in their passive procrastination. Furthermore, there is a moderately significant negative correlation between nurses’ active procrastination behavior and their passive procrastination behavior. Conclusion Nurses are exhibiting moderate levels of smartphone addiction and procrastination, which is a significant threat to the healthcare industry and nursing productivity. This requires technological, educational, and organizational interventions that foster active procrastination and combat passive procrastination behaviors among nurses. Implications Continuous training programs are required to enhance time management skills among nurses and increase the awareness of nurse managers with the symptoms of smartphone addiction among nurses. Nurse leaders should early detect and address the addictive use of smartphones among nurses, identify potential procrastinators, and provide counseling to eradicate these behaviors in the workplace.
Purpose To examine the influence of learning adjustment dimensions (motivation, attitude, ability, teaching pattern, and environment) on depressive symptoms in Chinese nursing freshmen, and the mediating role of psychological capital. Methods A cross-sectional survey was conducted among 471 nursing freshmen at a university in May 2024. The anonymous self-reported questionnaire included the Patient Health Questionnaire, the Learning Adjustment Questionnaire, and the Psychological Capital Questionnaire. Data were analyzed using SPSS v25.0 and PROCESS v4.1 macro, including correlation and mediation analysis. Results Learning adjustment had a significant direct effect on depressive symptoms among nursing freshmen (β = −0.565, p <0.001), and psychological capital partially mediated this relationship (β= −0.156, 95% Boot CI [−0.107, −0.135]), suggesting psychological capital explains part of the link between poor learning adjustment and depressive symptoms. Conclusion More attention should be paid to the mental health issues of freshmen. Addressing learning adjustment issues and fostering psychological capital among nursing freshmen may alleviate depressive symptoms, which will require relevant educational interventions and mental health support from university educators and counselors.
Objectives: A close inter-connectivity of students with the virtual world through the Internet has been perceived as a major source of potential harm to students' academic life and activities. This study aimed to highlight the role of cognitive absorption and psychological capital on students' academic performance and academic procrastination with the mediation of cyberloafing. Aligned with the main theme of the research, the directly affected group, i. e., the students, were targeted as unit of analysis followed by quantitative primary data collection from them. Methods: The software SPSS with simple linear regression and hierarchal regression were selected for data evaluation and results derivation. Results: The study implied the facts that the psychological capital and cognitive absorption were significant for enhancing academic performance directly as well as indirectly. In the case of academic procrastination, the study encountered negative impacts on the academic procrastination and insignificant impact of psychological capital through cyberloafing. Conclusion: With these results, the study identified that the constructive psychological capital and a healthy cognitive absorption capacity was beneficial for students to maintain their performance and overcome their laziness in academic activities. Likewise, in this domain, cyberloafing is effective if utilized within the academic domain.
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