Background: The integration of digital technology in nursing education has revolutionized traditional teaching methods. Creating educational videos enhances student engagement and clinical reasoning. Purpose: This study evaluated nursing students’ satisfaction and perceptions of creating educational videos as a teaching and learning strategy. Methods: A mixed-methods descriptive study was conducted with 150 second-year nursing students enrolled in a Health Education module at San Jorge University (Zaragoza, Spain). Students developed health education videos in groups, and data were collected through a 5-point Likert scale questionnaire and reflective narratives. Results: Students produced 33 videos. Quantitative findings showed high satisfaction, with the highest ratings for video applicability. Qualitative data revealed enhanced teamwork, creativity, and information technology skills. Conclusions: Video creation is an effective tool in nursing education, fostering engagement and skill development, aligning with modern educational practices.

Objective: To estimate the efficiency of a nurse‐led telephone program for nonadherent to treatment Type 2 diabetics with comorbid depression (TELE‐DD program).Design: Secondary analysis of cost‐consequence and budget impact, utilizing data from a randomized clinical trial conducted in the primary healthcare setting. The target population consisted of Type 2 diabetic patients with comorbid depression who were nonadherent to their pharmacological treatment.Method: The average cost per controlled patient (glycated hemoglobin < 7%) and the incremental cost‐effectiveness ratio were calculated. Similarly, the budgetary impact over 1 year of implementing this program in the region of reference of the randomized clinical trial was assessed.Results: The number of controlled patients is higher in the TELE‐DD group at 6, 12, and 18 months. The average cost per controlled patient was higher in the TELE‐DD group than in the control group at 6 months (€160.31 vs. €49.79), but lower at 12 (€150.09 vs. €179.59) and 18 months (€209.22 vs. €376.88). The incremental cost‐effectiveness ratio at 6, 12, and 18 months was €254.47, €143.65, and €177.46, respectively. The budget impact analysis revealed that implementing the TELE‐DD program would result in a reduction of €721,940.68 in expenditure for the funder in the first year of application.Conclusions: A nurse‐led telephone program for nonadherent Type 2 diabetics with comorbid depression is an efficient option in the management of healthcare resources. These results highlight the role of nursing in chronic patient management and the efficient use of healthcare resources.Trial Registration: ClinicalTrials.gov Identifier: NCT04097483.

Background/Objectives: Weight gain after kidney transplantation is frequent but heterogeneous, often accompanied by changes in body composition that influence long-term outcomes. This study analysed one-year changes in body compartments and their demographic and clinical determinants. Methods: A prospective cohort of 112 adult kidney recipients transplanted between September 2020 and June 2022 at a Spanish tertiary hospital was followed. Body weight, muscle mass, fat mass, visceral fat and total body water were assessed by multi-frequency bioelectrical impedance at discharge, and at 3, 6 and 12 months. Associations with sociodemographic, clinical and comorbidity variables were examined using repeated-measures ANOVA and comparative tests. Results: At 12 months, mean weight gain was 3.6 ± 6.5 kg (5.1%). Increases were greater in men, younger patients, non-dialysis candidates, those with previous transplantation and living donor grafts. Muscle mass rose during the first three months and then stabilised, with greater gains in men and haemodialysis patients. Fat mass decreased initially and then increased, particularly in women, younger recipients and living donor transplants. Visceral fat progressively increased after three months, with higher levels in men and older patients. Total body water declined in women, younger recipients and first transplant patients. Patients with new-onset diabetes gained less weight, while smokers gained more. Conclusions: Post-transplant body composition is shaped by sex, age, BMI, comorbidities and donor type. Monitoring compartments beyond body weight may allow early detection of adverse metabolic trajectories. Tailored nutritional and lifestyle interventions are needed to optimise long-term outcomes.

Background/Objectives: Individuals with chronic kidney disease often face significant physical and clinical challenges, such as muscle weakness, fatigue, and reduced cardiorespiratory capacity, that impact their quality of life. Physical activity has emerged as an effective intervention to counteract these effects, with clinical guidelines recommending exercise as a standard treatment for kidney transplant recipients. The aim of this study was to assess pretransplant physical activity levels in a cohort of transplant patients and analyze their relationships with cardiovascular risk factors. Methods: A cross-sectional, analytical, and correlational study was conducted from September 2020 to June 2022 with a sample of 122 kidney transplant recipients assessed before kidney transplantation. Sociodemographic data, anthropometric data, comorbidities, renal replacement therapy types, and clinical and analytical data were collected from the patients’ clinical records. Physical activity was assessed via the International Physical Activity Questionnaire. Results: The average time spent waiting for transplantation was 423 ± 405 days, which was longer (387 ± 524) in the group of those under 65 years than in those over 65 years (194 ± 256) (p = 0.010). The median energy expenditure was 1742 (IQR = 1719) METs. In addition, 15.6% of the participants reported inactivity. Men reported higher physical activity levels (median: 2076 METs/week; IQR: 2037) than women did (median: 1386 METs/week; IQR: 1238). A higher level of physical activity was found in non-dialysis patients, overweight patients, and those with a history of stroke. A significant positive correlation was found between physical activity levels and serum urea. Conclusions: Increased physical activity levels were observed in men and in participants under 65 years of age. Patients with cardiovascular risk factors, such as hypertension, diabetes mellitus, dyslipidemia, overweight and obesity, reported lower activity levels, whereas those with a prior history of cerebrovascular accidents engaged in more physical activity. This study highlights the importance of assessing physical activity and promoting exercise for chronic kidney disease patients awaiting kidney transplantation. Further research is needed to explore the evolution of physical activity in this population and its impact post-transplantation.

Background: Fixed night work and rotating schedules including nights may contribute to migraine via sleep disruption and circadian misalignment, but evidence is inconsistent and definitions vary. This systematic review and meta-analysis compared past-year migraine prevalence in nurses working night-inclusive schedules versus day-only or non-night schedules. Methods: Following PRISMA 2020 and registered in PROSPERO (CRD420261304288), we searched PubMed, Scopus, Web of Science, CINAHL, and the Cochrane Library from inception to 3 February 2026 (English/Spanish). Observational studies in nurses (≥18 years) reporting past-year migraine prevalence by shift pattern were eligible. All included studies assessed past-year prevalence; pooled PRs reflect 1-year prevalence. Crude prevalence ratios (PRs) were calculated from contingency tables and pooled quantitatively. Risk of bias was assessed with the JBI prevalence checklist. Results: We identified 54 records; 4 studies were included (N = 3843) of which 3323 participants contributed to the comparative meta-analysis because complete disaggregated data were available to construct contingency tables. The pooled association between night-inclusive schedules and migraine prevalence was not statistically significant (PR = 0.95, 95% CI 0.82–1.10; I² = 0%). Secondary intensity contrasts were inconclusive (high vs. low: PR = 1.24, 95% CI 0.46–3.36; high vs. zero nights: PR = 0.85, 95% CI 0.38–1.93). Conclusions: Current nurse-specific evidence does not show a statistically significant difference in migraine prevalence between night-inclusive and non-night schedules; however, the small evidence base and limited generalizability preclude firm conclusions. Future longitudinal studies are needed to clarify this association.