Background: Postpartum depression is a frequent mental health issue that affects many women due to this stressful phase. The aim of the study is to gain insight into the coping strategies employed by postpartum women and to explore how these strategies are influenced by various demographic and maternity factors. Methods: The study adopted a quantitative, cross-sectional design. Data were collected from 239 postpartum women receiving care at a Gynecology and Obstetrics Clinic using self-reported tools, which include the Brief COPE survey and the socio-demographics and obstetric/maternal history form from October 2022 to April 2023. Results: The study findings indicate that individuals aged over 40 tend to use more emotional-focused coping compared to those aged 21–30 (p = 0.002) and 31–40. Additionally, both genders of children were associated with more emotional-focused coping (p = 0.007) compared to only having boys. Cesarean section delivery (p = 0.001) was associated with more avoidant-focused coping than normal vaginal delivery. Avoidant-focused coping was significantly predicted by problem-focused coping (p < 0.001), emotional-focused coping (p = 0.034), age (p = 0.003), and gender of children (only boys, p < 0.001; both boys and girls, p = 0.019). Furthermore, problem-focused coping was significantly predicted by age (p = 0.004), gender of children (male child, p = 0.002; both boy and girl: p = 0.014), and avoidant-focused coping (p < 0.001). Conclusions: The study examined how postpartum women cope with the challenges of motherhood and how this relates to their demographic and maternity factors. The results suggest that healthcare professionals should promote effective coping strategies and discourage avoidance-oriented approaches in postpartum interventions.

Background: The integration of artificial intelligence (AI) in health care is changing nursing practice, and it calls for the acquisition of AI literacy by students, which includes knowledge, skills, and attitudes. An understanding of the effect of AI literacy on the well-being and empowerment of students is crucial in guiding effective educational strategies. Objective: This study aims to investigate the impact of AI literacy on well-being, with psychological empowerment and anxiety serving as mediating variables. Using partial least squares structural equation modeling (PLS-SEM), this study examines gender differences within these relationships. Methods: A cross-sectional design was used, and data were gathered from 497 nursing students from Imam Abdulrahman Bin Faisal University, Saudi Arabia, via a structured online questionnaire assessing AI literacy, psychological empowerment, anxiety, and well-being. PLS-SEM was used to evaluate both the measurement and structural models, encompassing mediation and multigroup analyses based on gender. Results: The constructs demonstrated substantial reliability and validity, and the model’s fit was deemed satisfactory. Well-being was moderately accounted for ( R ²=0.41), whereas empowerment and anxiety exhibited lower levels of explained variance. All hypotheses were supported, indicating that AI literacy positively influenced empowerment and negatively affected both anxiety and well-being. Furthermore, empowerment was found to negatively impact both anxiety and well-being. The mediation effects were significant, and no gender differences were observed. Conclusions: The study demonstrates that AI literacy significantly influences psychological empowerment, anxiety, and overall well-being through both direct and indirect pathways. The findings elucidate the intricate relationships among these variables and provide evidence for the applicability of the model across genders. This underscores the critical importance of promoting AI literacy and empowerment as a means to improve well-being outcomes.

Background: The growing use of social media has created concerns about addiction, and thus, it is necessary to explore how personality traits and fear of missing out (FOMO) can be utilized to predict social media addiction (SMA). Objectives: The purpose of this study was to investigate the connection between personality traits, FOMO, and SMA in university students in Saudi Arabia. Methods: In this cross-sectional study, data were collected from nursing students using the shortened version of the big five inventory, fear of missing out scale, and SMA scale from May to September 2024. Results: The study achieved a response rate of 66.7% (414/620), finally including a total of 411 participants. The majority of participants (247/411, 60.1%) had low FOMO scores, while SMA scores showed a different pattern, with a larger proportion (261/411, 63.5%) of participants scoring in the moderate range. In terms of gender differences, male participants exhibited higher levels of FOMO ( t =3.86, P <.001) and SMA ( t =2.51, P =.013) compared to female participants. Additionally, male participants scored higher in neuroticism ( t =3.30, P =.001) and openness ( t =1.98, P =.048). Regression analysis revealed that both conscientiousness ( β =.357, P <.01) and FOMO ( β =.213, P <.01) positively predicted SMA, while neuroticism ( β =−.223, P <.01) and being female ( β =-.098, P <.05) were associated with lower levels of addiction. The resulting model accounted for 35.8% of the variance. Conclusions: The study provides evidence that conscientiousness and FOMO are positive predictors of SMA, while neuroticism is negatively correlated with it. Moreover, male participants exhibited higher levels of both FOMO and SMA in comparison to female participants. These findings emphasize the impact of personality traits and FOMO on SMA among university students.

Aim: This study aimed to examine the factors that influence the level of flourishing among nursing students.Design: Cross‐sectional study.Methods: A multistage sampling technique was used to recruit 328 undergraduate nursing students from a nursing college. Data were collected from February to June 2023 using the Global Flourishing Study (GFS) questionnaire, which assesses six domains of flourishing and their determinants. To ensure reliability and validity, a pilot study was conducted and a thorough validation process was employed.Results: The Flourishing Index ranged from 24.0 to 100.0, with an average score of 74.2 (SD = 14.8). Well‐being, disposition and behaviour, as well as external factors, correlated strongly positively with the Flourishing Index (r = 0.741, r = 0.565, r = 0.596, all p < 0.001). The Flourishing level was significantly negatively correlated with religion (r = −0.381, p < 0.001). Married participants had a significantly negative association with flourishing (p = 0.009). Disposition and behaviour were significantly and positively associated with flourishing (p = 0.017). The regression model had goodness of fit (R² = 0.628) and was significant overall (F = 108.703, p = 0.001). The Flourishing model was established based on well‐being, external factors, religion, disposition and behaviour, and marital status.Conclusion: Positive correlations between flourishing and well‐being, disposition and external factors suggest areas of improvement. Conversely, the negative association with religion emphasizes the necessity of culturally sensitive approaches. Future studies with larger and more diverse samples, as well as additional variables, are crucial to obtain a deeper understanding of the factors that influence flourishing among nursing students in Saudi Arabia.

Background: Psychosocial hazards in the workplace were identified as a considerable risk to employee mental health as well as their general well-being. Few studies were found to examine its relationship with work engagement and mental health. Thus, this study examines the relationships between psychosocial factors, work engagement, and mental health within the faculty in Saudi Arabia using structural equation modeling. Methods: The cross-sectional study was conducted with a sample size of 375 faculty. Data collection was done using a self-administered online survey that included instruments such as the Copenhagen Psychosocial Questionnaire (COPSOQ), Utrecht Work Engagement Scale (UWES), and General Health Questionnaire (GHQ-12). SmartPLS 3 software facilitated data analysis and included the assessment of factors. Structural equation modelling was used to examine the interplay between psychosocial factors, work engagement, and mental health. Results: The robust measurement model was characterized by high loadings (0.719 to 0.970), Cronbach’s alpha (0.595 to 0.933), and composite reliability (0.807 to 0.968). Convergent and discriminant validity were confirmed using AVE and various criteria. The fit of the saturated model was superior. Burnout explained significant variance (0.585) with predictive relevance for all constructs. Notably, the impact of burnout on family conflict and the influence of stress on burnout were found to have significant effect sizes. Conclusion: The study uses structural equation modeling to examine the relationships between psychosocial factors, work engagement, and mental health among faculty in Saudi Arabia. The robust measurement model demonstrated high reliability and validity, while the saturated model demonstrated excellent fit. These findings contribute to our understanding of psychosocial dynamics, work engagement, and overall health among faculty in Saudi Arabia.

Aim: This study investigates the connections between resilience, compassion satisfaction (CS), burnout (BO), and secondary traumatic stress (STS) among mental health nurses using structural equation modeling (SEM). Design: A cross‐sectional study. Methods: Data were collected from 177 mental health nurses employed at a Mental Health Hospital in Saudi Arabia. Resilience, CS, BO, and STS were measured using the CD‐RISC‐25 and ProQOL scales. SmartPLS 3 software was employed for data analysis, including examining factor loadings, assessing composite reliability, and conducting SEM. Results: The study findings indicate that resilience did not directly impact STS significantly ( β = −0.03, t = 0.38, p = 0.704). However, resilience showed a significant positive influence on CS ( β = 0.73, t = 16.41, p ≤ 0.001), while CS had a significant negative effect on BO ( β = −0.35, t = 3.75, p ≤ 0.001). Moreover, BO demonstrated a significant positive impact on STS ( β = 0.96, t = 20.04, p ≤ 0.001). Mediation analysis revealed that both CS and BO fully mediated the relationship between resilience and STS ( β = −0.25, t = 3.41, p ≤ 0.001). Conclusion: These findings emphasize the importance of developing resilience and promoting compassion to alleviate BO and reduce the risk of STS among mental health nurses. They highlight the need for implementing strategies that enhance resilience and support well‐being in the workplace.