Objectives: Pediatric obesity represents a significant public health challenge, requiring accurate and accessible tools for assessing body composition in pediatric populations. This systematic review (PROSPERO CRD42024592366) compares the methodological accuracy and clinical utility of bioelectrical impedance analysis (BIA) and dual x-ray absorptiometry (DXA) in evaluating obesity among children and adolescents. Methods: Utilizing a comprehensive search across PubMed, EMBASE, and Web of Science between 1 January 2014 and 31 December 2024, we identified 28 studies meeting our inclusion criteria. The studies included involved participants aged 2–17 years with obesity and compared BIA with DXA as the reference standard. The exclusion criteria were studies focusing on adults, those that assessed BC solely using anthropometry, and those that did not report primary outcomes relevant to the comparison of BIA vs. DXA. Results: The findings reveal that despite recent technological advances improving BIA’s precision, it consistently underestimates body fat percentage and fat mass, particularly in overweight and obese pediatric populations. DXA it is often used as a reference method in the evaluation of whole-body composition due to its higher accuracy and reliability. BIA offers significant practical advantages in accessibility, cost-effectiveness, and portability, but enhancements are needed to improve its accuracy for individual-level assessments. Conclusions: While BIA shows promise as a practical tool for body composition assessment in children, its accuracy varies significantly by device type. Multi-frequency segmental analyzers, such as InBody 720, demonstrate better agreement with DXA, whereas simpler models tend to underestimate fat mass. Therefore, conclusions regarding BIA performance should be device-specific and its clinical utility should be carefully weighed based on the technology used.

Objective: we aimed to highlight the state of the art in terms of pediatric population adherence to insulin pumps. This study intends to underline the significance of identifying and minimizing, to the greatest extent feasible, the factors that adversely affect the juvenile population’s adherence to insulin pump therapy. Materials and methods: articles from PubMed, Embase, and Science Direct databases were evaluated using the following search terms: adherence, pump insulin therapy, children, pediatric population, and type 1 diabetes, in combination with several synonyms such as compliance, treatment adherence, pump adherence, patient dropouts, and treatment refusal. Results: A better glycemic control is connected to a better adherence to diabetes management. We identify, enumerate, and discuss a number of variables which make it difficult to follow an insulin pump therapy regimen. Several key factors might improve adherence to insulin pump therapy: efficient communication between care provider and patients (including home-based video-visits), continuous diabetes education, family support and parental involvement, as well as informational, practical assistance, and emotional support from the society. Conclusions: every cause and obstacle that prevents young patients from adhering to insulin pumps optimally is an opportunity for intervention to improve glycemic control and, as a result, their quality of life.

Background: Vitamin D plays an important role in maintaining bone health with numerous benefits for extraskeletal health as well. Objectives: We aimed to assess the prevalence of vitamin D deficiency in children (0–18 years old) in a tertiary hospital in Romania between August 2019 and January 2024 and to investigate the role of adequate supplementation in this vulnerable population. Methods: The serum 25(OH)D levels were measured using a chemiluminescence binding assay. Results: A total of 744 participants were included in this study: 396 female (53.23%) and 348 male (46.77%). The serum levels of 25(OH)D ranged between 2.2 and 125.4 ng/mL, with a mean value of 27.4 ng/mL and a median value of 23.5 ng/mL. According to the cutoff values for the definition of vitamin D status (severe deficiency: <10 ng/mL, deficiency: <20 ng/mL, insufficiency: 20–29 ng/mL, and sufficiency: ≥30 ng/mL), the sample consisted of 77 (10.34%) cases of severe deficiency, 221 (29.7%) cases of deficiency, 194 (26.07%) cases of insufficiency, and 245 (32.93%) cases of sufficiency. There were seven cases of hypervitaminosis D with values above 100 ng/mL. The mean values (and corresponding 95% confidence intervals, CIs) were as follows: 27.85 ng/mL [25.95–29.76] in the males, 22.45 ng/mL [25.12–28.82] in the females, 24.82 ng/mL [21.86–27.77] in the spring, 28.62 ng/mL [26.42–30.81] in the summer, 32.30 ng/mL [29.16–35.44] in the autumn, and 24.01 ng/mL [21.57–26.44] in the winter. We observed a notable decline in the serum 25(OH)D levels with age, with 82.08% of the children in the age group above 6 years old having serum 25(OH)D levels below 30 ng/mL. In obese subjects, a higher prevalence of hypovitaminosis D was observed compared to non-obese subjects, with a mean value of 19.54 [17.50–21.57] ng/mL in obese children versus 28.89 [27.39–30.40] ng/mL in normal weight children. Conclusions: In our sample, the mean serum concentration of 25(OH)D was 27.4 ng/mL. Notably, 66.11% of the cases demonstrated varying degrees of hypovitaminosis D, with a significantly higher prevalence of 86.16% observed in the obese group. Healthcare providers should prioritize routine screening for vitamin D levels in pediatric patients with obesity to facilitate timely intervention and personalized supplementation strategies tailored to individual needs

Celiac disease (CeD) is an enteropathy caused by the complex interaction between genetic, environmental, and individual immunological factors. Besides the hallmark of intestinal mucosal damage, CeD is a systemic disorder extending beyond the gastrointestinal tract and impacting various other organs, causing extraintestinal and atypical symptoms. The association between CeD and liver damage has been classified into three main categories: mild and asymptomatic liver injury, autoimmune liver injury, and liver failure. We present a case of severe liver damage with cirrhotic evolution in an obese 12-year-old boy who had been admitted due to generalized jaundice and localized abdominal pain in the right hypochondrium. In the course of investigating the etiology of severe liver disease, toxic, infectious, metabolic, obstructive, and genetic causes were excluded. Despite the patient’s obesity, a diagnosis of CeD was established, and in accordance with autoimmune hepatitis (AIH) criteria, the patient was diagnosed with autoantibody-negative AIH associated to CeD.

Pediatric obesity is a growing public health concern, significantly increasing the risk of metabolic and cardiovascular comorbidities. Background/Objectives: This study aims to explore the burden of obesity, its associated comorbidities, and resting metabolic rate (RMR) assessed by indirect calorimetry among children and adolescents in a cohort of 223 participants from Nord-East of Romania. Methods: A cross-sectional study was conducted among 223 children and adolescents (aged 4–18 years) who were diagnosed with obesity at Saint Mary Emergency Children’s Hospital Iași. Anthropometric measurements, clinical assessment, and biochemical parameters were recorded. RMR was measured by indirect calorimetry, using the Fitmate Pro Metabolic Technology (Cosmed, Rome, Italy), under a stable environment for 15 min, following a fasting period of minimum 6–8 h. Data were analyzed using SPSS 22.0, applying descriptive statistics and Pearson correlations. Results: A total of 223 participants were included in the analysis, with a mean age of 12.03 ± 3.32 years (range 4–17 years) and a mean body mass index (BMI) of 31.21 ± 5.84 kg/m². The average RMR was 1687.5 ± 425.5 kcal/day, with higher values in males compared with females. RMR showed significant positive correlations with age (r = 0.60), BMI (r = 0.51), waist circumference (r = 0.67), and fat mass measured with a three-site formula technique (r = 0.51) and systolic (r = 0.45) and diastolic blood pressure (r = 0.19), all with p < 0.001. A weak inverse correlation was observed between RMR and the fitness index (r = −0.24, p < 0.001), indicating an association between lower fitness scores and higher RMR values. RMR showed no significant correlation with fasting glucose or lipid levels, indicating that metabolic rate was more influenced by body composition than by biochemical markers. Conclusions: Pediatric obesity is strongly linked to multiple comorbidities, emphasizing the need for early detection and targeted interventions. Higher BMI and central adiposity were associated with increased RMR. Indirect calorimetry provides valuable insights into the metabolic profile of children with obesity and can inform individualized management strategies.

Introduction: Childhood and adolescent obesity is a growing global health challenge associated with early metabolic and cardiovascular complications. This study aims to compare questionnaire-assessed physical activity patterns and lifestyle characteristics among children and adolescents with obesity and normal-weight peers and to explore their associations with clinical measurements and cardiometabolic risk. Assessing resting metabolic rate (RMR) by indirect calorimetry may provide additional insight into metabolic status beyond conventional anthropometric indicators. Methods: This prospective cross-sectional study included 58 children and adolescents aged 5–18 years with obesity and 30 normal-weight controls evaluated in Sfânta Maria Emergency Children’s Hospital Iași, Romania. Clinical data included anthropometric measurements and available biochemical parameters. RMR was assessed through indirect calorimetry (Fitmate Pro, Cosmed, Rome, Italy). Parents completed a structured lifestyle questionnaire adapted from validated international instruments, collecting information on physical activity, sedentary behavior, and wearable device use. Data analysis was conducted using SPSS 22.0, applying descriptive statistics and Pearson correlation analysis. Results: Children with obesity reported higher body mass index (BMI) (30.48 ± 5.31 kg/m²), higher RMR values, lower physical activity levels and greater sedentary time than controls. RMR correlated positively with BMI, central adiposity, blood pressure, waist-to-height, hepatic steatosis and exercise tolerance. Although electronic devices for monitoring physical activity were more frequently used in the obesity group, this was not associated with higher activity levels. Conclusions: Children and adolescents with obesity exhibited a clustered cardiometabolic risk profile and reduced physical activity. RMR measured by indirect calorimetry may contribute to a more comprehensive metabolic assessment in pediatric obesity.