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Aim: This study aims to investigate the relationship between nurses' self‐efficacy and self‐esteem, and their job satisfaction. Design: A cross‐sectional study was conducted. Methods: Employing a random sampling method that included 234 nurses from three hospitals in Iran enrolled. This study utilized the General Self‐Efficacy Questionnaire, Coppersmith Self‐Esteem Inventory, and Minnesota Job Satisfaction Questionnaire. Descriptive analysis, independent t‐tests, Pearson correlation analyses, and linear regression were employed for data analysis. Results: The mean self‐efficacy score for nurses was 26.73 ± 5.62 (out of 40), while self‐esteem and job satisfaction scored 37.13 ± 6.87 (out of 50) and 68.27 ± 12.65 (out of 100), respectively. Significant correlations were found between self‐efficacy, self‐esteem, and job satisfaction. Moreover, self‐esteem and the age group >40 years were identified as important predictors of nurses' job satisfaction. This study highlights the influential role of self‐esteem in determining nurses' job satisfaction. [ABSTRACT FROM AUTHOR]

The Internet Disorder Scale–Short Form (IDS9-SF) is a validated instrument assessing internet disorder which modified the internet gaming disorder criteria proposed in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). However, the relationships between the nine items in the IDS9-SF are rarely investigated. The present study used network analysis to investigate the features of the IDS9-SF among three populations in Bangladesh, Iran, and Pakistan. Data were collected (N = 1901; 957 [50.3%] females; 666 [35.0%] Pakistani, 533 [28.1%] Bangladesh, and 702 [36.9%] Iranians) using an online survey platform (e.g., Google Forms). All the participants completed the IDS9-SF. The central-stability-coefficients of the nine IDS9-SF items were 0.71, 0.89, 0.96, 0.98, 0.98, 1.00, 0.67, 0.79, and 0.91, respectively. The node centrality was stable and interpretable in the network. The Network Comparison Test (NCT) showed that the network structure had no significant differences among Pakistani, Bangladeshi, and Iranian participants (p-values = 0.172 to 0.371). Researchers may also use the IDS9-SF to estimate underlying internet addiction for their target participants and further explore and investigate the phenomenon related to internet addiction. [ABSTRACT FROM AUTHOR]

Background: Learning in the academic setting is influenced by the dynamic interaction between students and teachers. Recognizing and adapting to diverse learning styles is essential for improving instruction, gaining knowledge, and drawing informed conclusions. Therefore, this study investigated learning styles and their effects on students' academic achievement., Methods: In a cross-sectional study in Iran's Mazandaran province, 238 nursing students were surveyed between October and December 2021 using random sampling. The questionnaire included socio-demographic data, Kolb's Experiential Learning Model, and students' academic performance (EPT). Statistical analysis with SPSS version 22 involved descriptive statistics, one-way ANOVA, chi-square tests, and linear regression with statistical significance set at p < 0.05., Results: The mean age of the nursing students was 20.95 ± 1.71 years. The most common student learning styles were convergent (75.2%) and accommodator (12.2%). According to the results, convergent (148.62 ± 16.28) and accommodator learning styles (147.72 ± 8.79) with the highest average played a role in students' academic achievement. The mean score of EPT was 147. 13 ± 15.48 (out of 240). A significant difference between the academic performance and different dimensions of learning style was found (p = 0.002)., Conclusion: Findings indicated that adopting a convergent and accommodator learning style can affect students' academic achievement. Therefore, learning environments appropriate to this style, such as simulation and laboratory activities, are suggested to emphasize practical work and make students think an scrutinize., (© 2024. The Author(s).)