Benjelloun, Mohammed
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Psychometric properties of the Dundee Ready Educational Environment Measure (DREEM) in a Moroccan sample of nursing students Khadija, Saka; Amarouch, Mohamed-Yassine; Miyah, Youssef; Benjelloun, Mohammed; El-Hilaly, Jaouad
Belitung Nursing Journal Vol. 11 No. 2 (2025): March - April
Publisher : Belitung Raya Foundation, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33546/bnj.3715

Abstract

Background: The educational environment is crucial to student learning and professional development in nursing education. The Dundee Ready Educational Environment Measure (DREEM) is a widely used tool for assessing educational environments in health professions. However, its psychometric properties have not been sufficiently evaluated in the Moroccan context, particularly among nursing students. Objective: This study aimed to examine and validate the psychometric properties of the Arabic version of the DREEM scale in a sample of Moroccan nursing students. Methods: A cross-sectional study was conducted between May and July 2023 among 445 undergraduate nursing students at the Higher Institute of Nursing Professions and Health Techniques in Meknes, Morocco. Data were collected using the Arabic-translated DREEM questionnaire. Principal Component Analysis (PCA) was conducted to assess variance distribution, while Confirmatory Factor Analysis (CFA) was used to test model fit using key indices. Reliability was measured using Cronbach’s alpha, and intra-class correlation coefficients (ICCs) were calculated for test-retest reliability. Results: PCA confirmed a five-factor structure, with the first two principal components explaining 19.13% and 23.61% of the total variance. CFA results showed that the students’ perceptions of learning (SPL) and academic atmosphere (SPA) subscales had good to acceptable fit, while the students’ perceptions of teachers (SPT) and academic self-perception (SASP) subscales demonstrated moderate to marginal fit. The Arabic DREEM scale exhibited good internal consistency, with a Cronbach’s alpha of 0.87. Sociodemographic factors, including gender, scholarship status, and rural-urban background, influenced students’ perceptions of their educational environment. Conclusion: This study confirmed the reliability and validity of the Arabic version of the DREEM scale for assessing nursing students’ educational environments in Morocco. However, variability in model fit across subscales suggests the need for further refinement to enhance cultural adaptation. Findings highlight disparities in teaching quality, academic support, and student engagement, emphasizing the importance of improving teacher-student interactions, interactive teaching methods, and social support systems to enhance learning outcomes.  
Smartphone addiction and sleep quality among nursing students in Meknes, Morocco: A cross-sectional study El Haddaouy, Abdelhadi; Miyah, Youssef; Benjelloun, Mohammed; Mengad, Aziz; Blaak, Hicham; Iziki, Hayat; El Omari, Fatima
Belitung Nursing Journal Vol. 11 No. 2 (2025): March - April
Publisher : Belitung Raya Foundation, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33546/bnj.3718

Abstract

Background: Smartphone addiction and poor sleep quality are prevalent health concerns that negatively impact students’ physical and mental well-being, which could affect their academic performance. However, research on this subject in Morocco remains limited. Objective: This study aimed to examine the impact of smartphone addiction on sleep quality and identify risk factors that moderate this relationship among nursing students. Methods: This cross-sectional study was conducted from March to July 2023, involving 451 nursing students aged 17 to 23 at the Higher Institute of Nursing Professions and Health Techniques in Meknes, Morocco. Participants completed the Mobile Phone-Related Sleep Risk Factors Questionnaire (MRSRF), the Smartphone Addiction Scale–Short Version (SAS-SV), and the Pittsburgh Sleep Quality Index (PSQI). Binary logistic regression (BLR), Receiver Operating Characteristic (ROC) curves, and Area Under Curve (AUC) analyses were used to assess the impact of smartphone addiction on sleep quality and to identify moderating risk factors. Results: The study found that 81.23% of nursing students experienced smartphone addiction, and 86.47% reported poor sleep quality. Sleep quality was significantly correlated with smartphone addiction (β = 0.174; p <0.001), use before bedtime (β = 1.018; p = 0.030), and duration of use after lights-off (β = 0.768; p = 0.047). Logistic regression analysis indicated that smartphone addiction (AUC = 0.872; p <0.001) and duration of use after lights-off (AUC = 0.668; p <0.001) were significant predictors of sleep quality. Conclusion: This study found a significant correlation between smartphone addiction and poor sleep quality, as well as a negative impact of using smartphones in bed for more than 30 minutes after lights off. Nursing students with higher smartphone addiction levels, who use their devices for extended periods without blue light filters, are more likely to experience poor sleep quality. Addressing these challenges requires an integrated, multidisciplinary approach involving healthcare professionals, educators, and community stakeholders. Health promotion programs integrated into student curricula could help reduce smartphone addiction and encourage healthier sleep hygiene practices.