The phase angle (PhA) seems to be a reliable screening tool for the identification of malnutrition risk in hospitalized children with inflammatory bowel disease (IBD). The aim of the present study was to assess the body composition and nutritional status of hospitalized children and adolescents with IBD by using bioelectrical impedance analysis (BIA) with phase angle (PhA) calculation, which has not been evaluated in hospitalized children with IBD yet. A total of 59 children and adolescents aged 4–18 years, with IBD: 34 ulcerative colitis (UC) and 25 Crohn’s disease (CD) were included in the study. The control group consisted of healthy children and adolescents, strictly matched for gender and age in a 1:1 case-control manner. In both groups, BIA was performed and PhA was calculated. IBD patients had significantly lower PhA (UC: 5.34 ± 1.34 vs. 5.96 ± 0.76, p = 0.040; CD: 5.16 ± 1.18 vs. 5.90 ± 0.62, p = 0.009) compared to the control subjects. Significant changes in selected body composition parameters were observed particularly in CD, especially in fat free mass components. Lower phase angle score together with lower body composition parameters and selected nutrition indicators in children and adolescents with IBD demonstrate their worse nutritional and functional status compared to healthy subjects.

The primary and proven therapy, in cases of celiac disease (CD), is a rigorous gluten-free diet (GFD). However, there are reports of its negative effects in the form of nutritional deficiencies, obesity, and adverse changes in body composition. The study aimed to assess the impact of a GFD on the body composition of children with CD. In a case-controlled study (n = 41; mean age 10.81 y; SD = 3.96) children with CD, in various stages of treatment, underwent medical assessment. The control group consisted of healthy children and adolescents, strictly matched for gender and age in a 1:1 case-control manner. More than half of the examined children (n = 26) followed a GFD. CD children had significantly higher mean values of the fat free mass (FFM% = 80.68 vs. 76.66, p = 0.015), and total body water (TBW% = 65.22 vs. 60.47, p = 0.012), and lower mean values of the fat mass (FM% = 19.32 vs. 23.34, p = 0.015). Children who were on a GFD presented slightly higher, but not statistically significant, mean values of FM and FFM, than children who did not follow dietary recommendations (FM [kg] = 7.48 vs. 5.24, p = 0.064; FM% = 20.81 vs. 16.73, p = 0.087; FFM [kg] = 28.19 vs. 22.62, p = 0.110). After minimum one year of a GFD, CD children showed significantly higher values of FFM [kg] (p = 0.001), muscle mass (MM) [kg] (p < 0.001), TBW [L] (p < 0.001) and body cell mass (BCM) [kg] (p < 0.001). Furthermore, CD children who were on a GFD presented a significantly higher increase in weight (p = 0.034) and body mass index (BMI) (p = 0.021). The children adhering to a GFD demonstrate a tendency towards higher indices of selected body composition components.

The aim of this study was to assess the body composition and nutritional status of hospitalized pediatric patients with newly diagnosed type 1 diabetes by using bioelectrical impedance analysis (BIA) with phase angle (PA) calculation. PA is considered to be a useful and very sensitive indicator of the nutritional and functional status, and it has not yet been evaluated in such a population. Sixty-three pediatric patients aged 4 to 18 years, with newly diagnosed type 1 diabetes, were included in the study. The control group consisted of 63 healthy children and adolescents strictly matched by gender and age in a 1:1 case: control manner. In both groups, BIA with PA calculation was performed. Diabetic patients, in comparison to control subjects, had a highly significantly lower PA of 4.85 ± 0.86 vs. 5.62 ± 0.81, p < 0.001. They also demonstrated a lower percentage of body cell mass (BCM%), 46.89 ± 5.67% vs. 51.40 ± 4.19%, p < 0.001; a lower body cell mass index (BCMI), 6.57 ± 1.80% vs. 7.37 ± 1.72%, p = 0.004; and a lower percentage of muscle mass (MM%), 44.61 ± 6.58% vs. 49.40 ± 7.59%, p < 0.001, compared to non-diabetic controls. The significantly lower PA value in diabetic patients indicate their worse nutritional and functional status compared to healthy subjects. To assess the predictive and prognostic value of this finding in this population, further prospective studies involving larger sample of patients are required.

Juvenile idiopathic arthritis (JIA) is the most common chronic, systemic autoimmune connective tissue disease diagnosed in children and adolescents. An important aspect of monitoring of children with JIA is a precise assessment of the nutritional status to identify children and adolescents at risk of malnutrition. The aim of the study was to assess the body composition and phase angle in children diagnosed with JIA in comparison to age and sex matched healthy children since there are scarce reports in paediatric patients. A total of 46 children and adolescents aged 4–18 years, with JIA were included in the cross-sectional study. Controls were selected from the group of healthy children and adolescents. Children with diagnosed JIA and healthy children were strictly matched for age and gender. In both groups BIA with phase angle calculation was performed. Phase angle score was significantly lower in the study group compared to control group (5.45 ± 0.64 vs. 5.85 ± 0.80, p = 0.010). Also lower percentage of body cell mass (50.63 ± 3.46 vs. 52.70 ± 4.06, p = 0.010) and muscle mass (46.02 ± 6.32 vs. 49.53 ± 6.67, p = 0.005) were revealed. In the analysis of subtypes of JIA we found significant differences between children and adolescents with polyarthritis compared to control group, while no significant differences were found between patients with oligoarthritis and control group. The obtained results indicate a higher risk of malnutrition in children and adolescents with JIA compared to healthy peers, predominantly in patients with polyarthritis.

Introduction: Medical simulation has become an integral part of medical student education. There is a limited body of literature comparing virtual and high-fidelity simulation in terms of effectiveness and student perception.Methods: A total of 130 medical students at the University of Rzeszów participated in this cross-sectional study. The respondents were divided into two groups: students who completed a selected scenario using a virtual patient (Body Interact) and students who completed a scenario using traditional high-fidelity (manikin-based) simulation (HFS). After completing the scenario, students filled in the following questionnaires: the Simulation Design Scale (SDS), the Educational Practices Questionnaire (EPQ), the Student Satisfaction and Self-Confidence in Learning Scale (SSCL) and a customized survey questionnaire.Results: The study found no significant difference in the effectiveness of HFS between students exposed to either type of simulation. Detailed analysis within specific categories – problem-solving, teamwork, and active learning – also showed no significant differences between virtual and traditional HFS. Furthermore, there were no notable differences between virtual and traditional simulations regarding specific aspects such as satisfaction with learning, self-confidence in learning, and expectations. However, within the virtual simulation group, females rated active learning significantly higher. Students aged 24–33 rated satisfaction with learning, self-confidence, overall effectiveness and perception of HFS, problem-solving, and active learning more favorably. Additionally, the levels of perceived effectiveness and satisfaction of higher years students with HFS increased.Conclusion: Virtual patient simulation and traditional HFS foster the development of practical skills, as well as soft skills of medical students in challenging situations.

Monitoring of healthy children should include precise assessment of their nutritional status to identify children and adolescents at risk of nutrition disorders. Therefore, the aim of this study was to assess the nutritional status of healthy children using different nutritional risk screening tools. The study sample consisted of 550 participants within the age range of 7-15 years. Anthropometric characteristics (body mass, height, body mass index) were collected using standard procedures. In addition, the following parameters were analyzed: fat mass, fat-free mass, body cell mass, and total body water. The results revealed that variables such as children's age and sex significantly differentiated the values of selected components of the body composition. This observation suggests that it is necessary to use different methods to evaluate nutritional status among healthy children.