Search Results (1,136)

Background: Malnutrition has bidirectional effects in childhood cancer, as nutrition affects treatment-related adverse effects and outcomes. In turn, the cancer diagnosis and treatment, along with related psychosocial factors, can affect nutritional status. Nutritional evaluation is challenging because of the heterogeneous nutritional risks associated with a patient’s cancer diagnosis and socioeconomic status, as well as because of the variation in available resources and capacity in different global settings. Methods: This review summarizes methods for evaluating nutritional status and proposes a structured approach for use across different cancer types and resource settings. Results: Conventional anthropometric measures, including weight, height, and body mass index, along with longitudinal growth curve plotting using World Health Organization or Centers for Disease Control and Prevention growth charts, are widely used but may not adequately detect changes in body composition. In resource-limited (limited-access) countries, where equipment and trained personnel are lacking, history taking, physical examination, and anthropometric measurements should be prioritized, along with basic body composition measures such as mid-upper arm circumference. In partial-access settings, biochemical assessments and bioelectrical impedance analysis may be added to identify micronutrient deficiencies and changes in lean and fat mass, respectively. In full-access settings, advanced body composition imaging techniques (e.g., dual-energy x-ray absorptiometry, computed tomography, and magnetic resonance imaging) can be incorporated. The approaches should also be adjusted based on the cancer diagnosis and treatment. Conclusions: Tailoring nutritional assessment strategies across diverse resource settings and diagnoses would be beneficial for targeted interventions that may improve clinical outcomes. Further research, quality improvement studies, and policy-level initiatives are necessary to develop effective assessments. Full article

Background/Objectives: Quasi-static inverse dynamics is widely used in biomechanical analyses due to its computational simplicity; however, neglecting inertial effects may introduce joint-specific torque estimation errors during dynamic movements. The purpose of this study was to quantify torque estimation errors introduced by quasi-static assumptions during bodyweight squats performed at different movement frequencies. Methods: A planar MATLAB-based (version R2022a) musculoskeletal model incorporating standard anthropometric parameters was developed to simulate squat motions at 1.00, 0.75, 0.50, and 0.25 Hz. Joint torques calculated using quasi-static inverse dynamics were compared with fully dynamic inverse dynamics at the ankle, knee, and hip. Model agreement was evaluated using Root Mean Square Error (RMSE), normalized percentage error relative to peak dynamic torque, and bootstrapped 95% confidence intervals (CI). Results: Quasi-static modeling produced negligible torque estimation errors at the ankle and knee across all movement frequencies, with percentage errors consistently below 0.1% and narrow confidence intervals. In contrast, the hip joint demonstrated a clear frequency-dependent underestimation of torque when inertial effects were neglected. At 1.00 Hz, the hip RMSE reached 14.4 Nm, corresponding to 14.01% of peak dynamic torque (95% CI: 13.97–14.06%). Error magnitude increased systematically with movement speed. Conclusions: The validity of quasi-static inverse dynamics strongly depends on joint location and movement frequency. While quasi-static models are appropriate for ankle and knee torque estimation during moderate-speed squats, accurate hip torque assessment during faster squats requires full dynamic modeling. These findings provide quantitative benchmarks to inform model selection in biomechanical research, rehabilitation engineering, and assistive device design. Full article

Background: Both primary hyperparathyroidism (PHPT) and chronic hypoparathyroidism (HypoPT) are associated with the onset and development of cardiovascular diseases (CVDs). In particular, PHPT is accompanied by the presence of elevated atherothrombotic risk, while the importance of traditional and new anthropometric indices to reflect the cardiovascular risk remains uncertain in this condition. This study aims to investigate whether novel and traditional anthropometric indices distinguish PHPT and whether these indices are correlated with atherothrombotic risk. Methods: A total of 40 subjects with HypoPT, 40 with PHPT and 40 age- and sex-matched control subjects were consecutively enrolled for the evaluation of flow-mediated vasodilation (FMD) and carotid intima–media thickness (IMT). A blood sample was collected for evaluation of calcium–phosphate metabolism, PTH, TSH and 25-hydroxy vitamin D. Physical examination was performed to obtain traditional anthropometric parameters and derived indices of adiposity and cardiometabolic risk (waist-to-height ratio (WHtR), waist-to-hip ratio (WHR) and conicity index (CI)). Results: The PHPT group showed higher central adiposity indices (WHtR p = 0.002, and CI p = 0.008). Among patients with parathyroid disorders, PHPT subjects displayed the highest reduction in FMD (p < 0.001) and a marked increase in IMT (p < 0.001). In the Ctrl group, WHtR showed a weak-to-moderate positive association with IMT (r = 0.381, p = 0.018). In the PHPT group, no anthropometric index was significantly correlated with IMT or FMD (all p > 0.05). Conclusions: WHtR and CI provide evidence of increased central fat adiposity in PHPT but do not account for impaired atherothrombotic risk, indicating that anthropometric indices may lack relevance to cardiovascular risk in this condition and emphasizing the importance of a specific assessment profile. Full article

Objective: We examined vastus lateralis (VL), gastrocnemius medialis (GM), gastrocnemius lateralis (GL), and biceps femoris (BF) muscle architecture and force–time parameters recorded during a countermovement jump (CMJ). Methods: Eighty-nine 9 year-old girls (43 rhythmic gymnasts and 46 recreationally active controls) were assessed in: (a) muscle architecture (fascicle length—FL; angle; muscle thickness; and anatomical cross-sectional area—CSA) using ultrasonography, (b) CMJ performance (maximum force—Fmax; rate of force development—RFD; jump height; and peak power) using force–time data, and (c) anthropometrics and body composition. Results: Rhythmic gymnasts exhibited greater BF fascicle length and muscle thickness than controls (7.84 ± 0.73 vs. 7.26 ± 0.75 cm and 1.76 ± 0.19 vs. 1.61 ± 0.22 cm, respectively, p < 0.001), while VL muscle CSA was larger in controls (p = 0.001). When normalized to the respective segment length (thigh or shank), the FL was longer in gymnasts across all muscles (p ≤ 0.017). Gymnasts also demonstrated greater CMJ height (13.1%, p = 0.005), power scaled to body mass, and RFD (p < 0.005), while controls produced a greater Fmax (16.9%, p = 0.002). Body mass was the strongest predictor of Fmax in both groups (p < 0.001). CMJ power was best predicted by gastrocnemius CSA in gymnasts and by VL CSA combined with maturity offset in controls (all p < 0.001). Maturity offset and gastrocnemius CSA also predicted allometrically scaled power in controls. Conclusions: Rhythmic gymnasts are characterized by muscle-specific adaptations, specifically in the BF muscle FL and muscle thickness, which favor superior CMJ performance. In developing athletes, body mass is primarily related to maximal force, whereas muscle CSA is more closely associated with power output. Full article

Objectives: Radial artery spasm (RAS) is a common complication of transradial coronary angiography that may adversely affect procedural success and patient comfort. This study aimed to evaluate clinical, procedural, and anthropometric factors associated with RAS in patients undergoing elective transradial coronary angiography, with a particular focus on the wrist circumference-to-body mass index (WC/BMI) ratio as a novel predictor. Methods: A total of 466 patients who underwent elective coronary angiography via the right radial artery between January 2024 and December 2024 were included. All procedures were performed using a 6 Fr introducer sheath according to a standardized protocol. Radial artery spasm was clinically defined as operator resistance during catheter manipulation accompanied by patient-reported pain or marked discomfort in the accessed arm. Wrist circumference and body mass index were measured before the procedure, and the WC/BMI ratio was calculated. Radial artery diameter was assessed using ultrasonography. Variables associated with RAS were evaluated using univariable and multivariable logistic regression analyses. Due to collinearity between WC/BMI and radial artery diameter, two separate multivariable models were constructed. Discriminative performance was assessed using receiver operating characteristic (ROC) curve analysis. Results: Radial artery spasm occurred in 51 patients (10.9%). Patients who developed RAS had significantly lower WC/BMI ratios and smaller radial artery diameters compared with those without spasm (both p ≤ 0.001). In multivariable analysis, a lower WC/BMI ratio was independently associated with an increased risk of RAS (odds ratio [OR] 0.51 per 0.1-unit increase; 95% confidence interval [CI] 0.34–0.78; p = 0.002). Similarly, smaller radial artery diameter remained an independent predictor of RAS (OR 0.83 per 0.1 mm increase; 95% CI 0.75–0.92; p < 0.001). The area under the curve (AUC) was 0.651 for WC/BMI and 0.636 for radial artery diameter. The combined model demonstrated improved discriminative ability (AUC 0.713). Conclusions: The WC/BMI ratio is a simple, practical, and readily obtainable anthropometric parameter that can predict the risk of radial artery spasm before transradial coronary angiography. When combined with radial artery diameter, it provides improved discrimination for identifying patients at higher risk of RAS. Full article

Background: Early childhood represents a key stage for the development of movement behaviors (MB), motor skills (MS), and executive functions (EF). Body Mass Index (BMI), defined according to World Health Organization (WHO) references, may influence these domains early in life. In this context, this cross-sectional observational study aimed to examine the associations between BMI and 24-h MB, MS, and EF in Tunisian preschool children aged 4 to 5 years. Methods: This cross-sectional observational study included 112 Tunisian children aged 4 to 5 years (50 boys, 62 girls), recruited from kindergartens in urban and rural areas. Anthropometric measurements were used to calculate age-specific BMI z-scores and classify children into three BMI categories: below normal, normal, and above normal. Twenty-four-hour MB physical activity (PA), sedentary behavior (SB), and sleep were objectively assessed using accelerometry over five consecutive days. EF (inhibition and working memory) were assessed using standardized cognitive tests, gross MS were evaluated using the Supine Timed Up and Go test (functional mobility), One-Leg Standing Balance test (postural steadiness), Hand Grip Dynamometer (upper body strength), and Standing Long Jump (lower body strength), and fine MS were assessed using the 9-Hole Pegboard Test (dexterity). All tools are validated and standardized for children. Results: Significant differences between BMI categories were observed for anthropometric variables (p < 0.05). In contrast, no significant differences were found for 24-h MB, adherence to recommendations, EF, and MS (p > 0.05). Only Sleep duration showed a difference significantly between BMI < normal and BMI > normal (p = 0.022). Conclusions: In Tunisian preschool children, weight status is primarily associated with differences in physical growth, with no marked relationship to MB, EF, or MS. These findings highlight the importance of universal preventive interventions, particularly focusing on growth monitoring, starting in early childhood. These results should be interpreted with caution and highlight the need for further studies on larger populations to better understand the relationships between BMI, PA, and development in young children. Full article

Background/Objectives: Oral and oropharyngeal cancers are highly prevalent and associated with a high mortality. The primary treatment modality is surgery with free flap reconstruction becoming the gold standard. Our study aimed to assess the anthropometric and metabolic predictors of the occurrence of postoperative complications after free flap reconstruction, and to present a PRISM (Predictive Reconstructive Index for Soft-tissue Microflaps) scoring system. Methods: This retrospective cohort study included 92 patients with advanced oral and oropharyngeal squamous cell carcinoma who underwent primary surgical treatment with microvascular free flap reconstruction between 2020 and 2024. Clinical, surgical, and biochemical parameters (operative and flap ischemia time, BMI; serum albumin, total protein, and calcium) were analyzed in relation to postoperative complications. Associations were assessed using correlation analyses and binary logistic regression. Based on the key predictive variables, the PRISM scoring system was developed to estimate perioperative risk. Results: Underweight or overweight patients showed higher complication rates (Kruskal–Wallis, p = 0.019). Longer surgeries were associated with a higher incidence of SIRS, which in turn correlated with increased flap ischemia (Man-Whitney, p = 0.032 and 0.039). Lower albumin and total protein levels on the second postoperative day were linked to more complications (Kruskal–Wallis, p = 0.001 and 0.010), as were lower calcium levels on the first postoperative day (p = 0.033). Additionally, longer hospitalization was significantly associated with complication severity (p = 0.031). The PRISM score stratified patients into low-, moderate-, and high-risk groups. Conclusions: Free flap outcomes in oral and oropharyngeal cancer are influenced by SIRS, nutritional status, and surgical factors. Longer surgeries, flap ischemia, low albumin, protein, calcium, and abnormal BMI increased the complication risk. Careful preoperative assessment, optimization of patient condition, and strategies to minimize operative time and ischemia are essential. The PRISM score may help stratify patients and guide clinical decisions. Full article

Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly recognized as a key contributor to the development of heart failure with preserved ejection fraction in individuals with obesity. This study aimed to investigate whether MASLD and diastolic dysfunction are independently associated with abdominal obesity through shared metabolic and oxidative mechanisms. We conducted a cross-sectional study in a tertiary university hospital including patients aged ≥ 50 years with obesity and MASLD. Clinical, anthropometric, biochemical, and oxidative stress parameters were collected, and hepatic steatosis and fibrosis were assessed using vibration-controlled transient elastography (FibroScan^®). Patients were stratified according to the presence or absence of echocardiographic diastolic dysfunction. A total of 73 patients was included in the analysis and 27.4% had diastolic dysfunction. Patients with diastolic dysfunction were older and had higher body weight, body mass index (BMI) and waist circumference. Markers of hepatic steatosis, including fatty liver index (FLI) and controlled attenuation parameter (CAP), were higher in patients with diastolic dysfunction, whereas fibrosis measures were not. CAP was independently associated with diastolic dysfunction after adjustment for age and sex, but this association was lost after further adjustment for waist circumference, suggesting a mediating role of central adiposity. Plasma glutathione was inversely associated with FLI, but oxidative stress markers were not associated with diastolic dysfunction or steatosis severity. In conclusion, in patients ≥ 50 years with MASLD and obesity, diastolic dysfunction was common and closely related to abdominal obesity, highlighting MASLD as a multisystem condition with early cardiac involvement. Full article

Background: Malnutrition in adolescents remains a significant public health issue worldwide, with undernutrition and overweight often coexisting. Accurate nutritional screening during adolescence is complicated by variability in biological maturation and class imbalance, particularly among underweight adolescents. Objective: This study aims to develop and validate machine learning models for classifying the nutritional status of adolescents, accounting for class imbalance and biological maturation, and to evaluate model stability and variable importance at different stages of peak height velocity (PHV). Methods: In this cross-sectional study, 4232 adolescents aged 11 to 18 years were recruited from nine educational institutions in Tunisia. Their nutritional status was classified according to the International Obesity Task Force (IOTF) BMI thresholds into three categories: underweight (14.4%), normal weight (68.3%), and overweight (17.2%). Ten anthropometric, behavioral, and maturation-related predictors were analyzed. Six supervised machine learning algorithms were evaluated using a 70/30 stratified split between training and test sets, with five-fold cross-validation. Class imbalance was addressed by ROSE combined with cost-sensitive learning. Model performance was assessed using accuracy, Cohen’s kappa coefficient, macro F1 score, sensitivity, specificity, and AUC. Results: The cost-sensitive Random Forest (RF) model achieved the best overall performance, with an accuracy of 0.830, a macro F1 score of 0.767, a macro-AUC of 0.921, and a macro- sensitivity of 0.743. The class-specific sensitivities were 0.70 (underweight), 0.91 (normal weight), and 0.62 (overweight), with no major misclassification between the extreme categories. Performance remained stable across the different maturation phases (accuracy from 0.823 to 0.839), with optimal discrimination in the pre-PHV (macro-AUC = 0.936; sensitivity for underweight = 0.82) and post-PHV (macro-AUC = 0.931) periods. Body mass was the main predictor (importance = 1.00), followed by waist circumference (0.34–0.53). The importance of age for classifying underweight increased significantly from the pre-PHV (0.10) to the post-PHV (0.75) period. A two-stage hierarchical model further improved underweight detection (stage 1 AUC = 0.911; sensitivity = 0.732). Conclusions: A cost-sensitive RF model, combined with ROSE, provides robust classification of adolescents’ nutritional status maturation, significantly improving underweight detection while preserving overall accuracy. This approach is particularly well-suited to public health screening in schools as a first-stage assessment that requires clinical confirmation and promotes a maturation-aware interpretation of nutritional risk among adolescents. Full article

Background/Objective: Anxiety symptoms in preschool children represent early indicators of potential mental health vulnerabilities. Maternal psychological, sociodemographic, lifestyle and dietary factors may be associated with child emotional development; however, evidence regarding their independent contributions to distinct dimensions of child anxiety (trait vs. state) remains limited. This study aimed to examine maternal factors associated with preschool children’s trait and state anxiety. Methods: In this cross-sectional study conducted in Greece, 200 preschool-aged children and their mothers were assessed. Maternal demographic, socioeconomic, anthropometric, lifestyle, dietary, and psychosocial characteristics were evaluated using validated instruments, including the Mediterranean Diet Score (MedDietScore), Beck Depression Inventory–II (BDI-II), and the State–Trait Anxiety Inventory short form (STAI-6). Children’s trait and state anxiety were assessed using the State–Trait Anxiety Inventory for Children (STAI-CH). Bivariate analyses were conducted, followed by separate multivariable linear regression models for trait and state anxiety, with covariate selection guided by a directed acyclic graph (DAG). Results: Maternal anxiety was positively associated with children’s state anxiety (B = 1.508, SE = 0.566, β = 0.196, t = 2.666, p = 0.008; 95% CI [0.43, 2.66]). Higher maternal educational attainment demonstrated a weak positive association with child state anxiety (B = 1.061, SE = 0.509, β = 0.145, t = 2.086, p = 0.038; 95% CI [0.08, 2.09]), which may reflect greater awareness or reporting of child symptoms by more-educated mothers or other unmeasured factors. For trait anxiety, maternal depressive symptomatology exhibited the strongest association (B = 3.578, SE = 0.918, β = 0.276, t = 3.897, p < 0.001; 95% CI [1.77, 5.39]), while maternal anxiety was also independently associated with higher trait anxiety (B = 2.088, SE = 0.744, β = 0.194, t = 2.807, p = 0.006; 95% CI [0.62, 3.56]). The models explained a modest proportion of variance (R² < 0.15), indicating that most variation in child anxiety does not seem to be fully explained by the specific measured maternal factors. Conclusions: Maternal psychological distress was modestly associated with preschool children’s state and trait anxiety, exhibiting differential patterns across anxiety dimensions. These findings should be interpreted as correlational, with unmeasured contributors such as paternal mental health, family functioning, genetics, and school/peer influences likely playing important roles. Early screening and interventions addressing maternal mental health may support children’s emotional well-being, but further multi-informant and longitudinal research is needed to clarify temporal and causal pathways. Full article

Background: The development of facial scanning technology has introduced new methods for facial morphology analysis, progressively shifting from conventional methodology such as direct anthropometry and two-dimensional photography toward three-dimensional digital acquisition. These technologies aim to reduce operator subjectivity, enhance measurement reproducibility, and enable comprehensive facial analysis within digital workflows. Methods: Thirty adult volunteers were recruited and provided informed consent. In each participant, twenty-five predefined facial landmarks were identified and nineteen linear interlandmark distances were recorded using three methods: direct anthropometric measurement with a digital caliper (Mitutoyo^®, USA), a low-cost portable facial scanner (Revopoint^®), and a professional static facial scanner (RAYFace^®). Manual anthropometry was used as a clinical refence standard. All measurements were performed by a single trained operator. Trueness was defined as the absolute difference between the reference measurements and the mean of digital measurements, while precision was defined as the standard deviation of repeated digital measurements. Results were expressed as mean values and 95% confidence intervals. Results: Overall precision was 0.58 (0.53; 0.62) mm for Revopoint^® and 0.43 (0.39; 0.47) mm for RAYFace^®, corresponding to precision percentages of 1.19 (1.06; 1.33) % and 0.88 (0.78; 0.97) %, respectively. Mean trueness values were 2.16 (2.01; 2.31) mm and 1.92 (1.80; 2.05) mm for conventional-Revopoint^® and conventional-RAYFace^®, corresponding to a trueness impact value of 4.30 (3.87; 4.74) % and 4.08 (3.61; 4.55) %, respectively. Statistically significant differences between scanners were observed for specific landmark locations. Conclusions: Within the methodological limitations of this in vivo study—including the use of manual anthropometry as a reference standard, a single-operator design and a predominantly female sample—both facial scanners demonstrated reproducible linear measurements within clinically acceptable thresholds for prosthodontic and esthetic planning applications. The professional static scanner showed superior accuracy, suggesting greater suitability for complex cases requiring higher precision. Full article

Background/Objectives: To examine the association between metabolic dysfunction–associated fatty liver disease (MAFLD) and bone mineral density in school-aged children. To investigate the association between metabolic dysfunction-associated fatty liver disease (MAFLD) and bone mineral density among school-aged children using a propensity score-matched study design. Methods: A cross-sectional analysis was performed using baseline data from the Beijing Children and Adolescents Health Cohort, with samples collected between September 2022 and May 2023. The study included 5170 children aged 7–18 years. Standardized questionnaires collected behavioral, lifestyle, and dietary data. Anthropometric measurements (height, weight, waist circumference) were obtained to calculate body mass index (BMI). Fasting venous blood samples were analyzed for glucose and lipid profiles. Clinical assessments included pubertal development evaluation, abdominal ultrasound for hepatic steatosis, oscillometric blood pressure measurement, quantitative ultrasound for calcaneal bone mineral density (BMD), and bioelectrical impedance analysis for body fat percentage. MAFLD was diagnosed as hepatic steatosis combined with metabolic abnormalities (assessed via BMI, blood glucose, lipid levels, and blood pressure). Propensity score matching (PSM) was conducted at a 1:3 ratio between the MAFLD and non-MAFLD groups, matching on age, sex, and pubertal stage. Multiple linear regression, conditional logistic regression, and quantile regression (10th–90th percentiles) were used to analyze the association between MAFLD and BMD. Results: Of 5170 participants, 579 had MAFLD and were matched to 1737 non-MAFLD controls (standardized mean differences < 0.001). Children with MAFLD had higher BMI, body fat percentage, and waist circumference, and lower BMD versus controls. Multiple linear regression confirmed a significant negative association between MAFLD and BMD, which was stronger in boys and mid-pubertal children. Conditional logistic regression analyses further showed that boys with MAFLD had a higher risk of reduced BMD. The odds ratios were 1.77 (95% CI: 1.14–2.75) overall, 2.74 (95% CI: 1.56–4.81) among those aged 12–14 years, 1.81 (95% CI: 1.04–3.17) in mid-puberty, and 2.27 (95% CI: 1.17–4.40) in late puberty. Quantile regression revealed the strongest associations between MAFLD and BMD at the 40th–75th percentiles (regression coefficients: −9.5 to −6.7). Conclusions: MAFLD was associated with lower bone mineral density in children, with the strongest associations observed in the lower-to-middle range. Boys, children in mid-puberty, and those with obesity may represent particularly vulnerable groups with respect to bone health in the presence of MAFLD. This highlights the importance of early MAFLD identification and targeted interventions to mitigate long-term skeletal risks. Prospective studies are needed to clarify the causal pathways between MAFLD and pediatric bone health, and future research should integrate multiple factors to elucidate the underlying mechanisms. Full article

To address the limitations of current prosthetic knees that lack personalized adaptability to users’ gait characteristics and walking speeds, this study proposes a personalized gait parameter prediction–based speed-adaptive control method for a hybrid active–passive intelligent prosthetic knee (HAPK). The proposed system integrates a perceptron-based model to predict individualized gait parameters by mapping anthropometric data and walking speed to key points of the knee trajectory. A fuzzy logic–based damping control for the swing phase and a position–torque control for the stance extension phase are developed to achieve real-time adaptation to different walking speeds and user-specific biomechanics. The hybrid actuation system combines hydraulic damping and motor torque assistance to ensure both compliance and power delivery across gait phases. Experimental results from variable-speed walking tests demonstrate that the proposed control method improves gait symmetry indices—reducing stance and swing asymmetries by approximately 30–38%—and achieves smoother, more natural gait transitions compared to traditional fixed-gait control strategies. These findings validate the effectiveness of the proposed approach in achieving continuous, personalized, and speed-consistent gait control for intelligent prosthetic knees. Full article

Background: Susception to cardio–reno–metabolic disorders increases markedly with age; however, the dominant contributors to risk may differ across the adult life course. While metabolic abnormalities often predominate at younger ages, vascular and renal alterations become more prominent in older populations. Understanding how these risk components reconfigure with aging may inform age-tailored prevention strategies. Methods: This cross-sectional observational study included 287 adults undergoing clinical and biochemical evaluation for cardio–metabolic risk. Participants were stratified into three age categories: <65 years (n = 175), 65–75 years (n = 84), and >75 years (n = 28). Anthropometric measurements, blood pressure, metabolic parameters, liver enzymes, inflammatory markers, and renal function indices were assessed. Insulin resistance was estimated using the triglyceride–glucose (TyG) index, and renal function was evaluated by estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (UACR). Comparisons across age groups were performed using one-way analysis of variance (ANOVA). Results: Younger participants (<65 years) exhibited a predominantly metabolic risk profile, characterized by higher body mass index, waist circumference, fasting plasma glucose, triglycerides, and TyG index (all p < 0.05). In contrast, advancing age was associated with a progressive vascular–renal phenotype, including higher systolic blood pressure, lower diastolic blood pressure, and a marked decline in eGFR (p < 0.001). Liver enzymes decreased with age, while the FIB-4 index increased. UACR and C-reactive protein levels did not differ significantly between age groups. Despite these differences in individual risk markers, the composite risk category score was similar across age strata. Conclusions: Cardio–reno–metabolic risk profiles show distinct age-stratified patterns in dominant risk markers, with metabolic predominance more evident at younger ages and vascular–renal vulnerability more prominent in older adults. These findings support a life-course perspective on risk assessment and highlight the potential importance of early detection of vascular and microvascular risk in metabolically burdened younger individuals, prior to the development of overt renal dysfunction and advanced vascular aging. Full article

Background: Anthropometric characteristics are known determinants of rowing performance, particularly during adolescence, when rapid physical growth affects strength, leverage, and movement efficiency. Understanding how body size and proportionality relate to rowing output is essential for contextualizing performance differences during youth rowing development. Objective: This study examined the associations between anthropometric variables and 2000 m ergometer performance in a multinational cohort of adolescent rowers, with separate analyses for males and females. Methods: A total of 126 youth rowers (65 males, 61 females) aged 14–16 years from eight countries participated. Standardized anthropometric measurements including body height, body mass, body fat (F%), relative muscle mass (M%), limb lengths, and body surface area (BSA) were assessed. Performance was assessed via maximal 2000 m ergometer testing, recording mean power output (W). Results: Significant anthropometric differences were observed between sexes. Performance outcomes mirrored these patterns: males produced substantially greater ergometer power (327.10 ± 48.65 W) compared to females (219.63 ± 30.96 W, p = 0.015). Across nations, anthropometric and performance means differed numerically but showed no statistically significant between-country differences (p > 0.05), despite small-to-moderate effect sizes. Correlation analyses revealed strong positive associations between ergometer power and body height (males: r = 0.70; females: r = 0.71), body mass (males: r = 0.75; females: r = 0.70), relative muscle mass (males: r = 0.62; females: r = 0.64) and body surface area (males: r = 0.78; females: r = 0.73). Relative fat mass showed a moderate-to-strong negative association with performance (males: r = −0.67; females: r = −0.64; p < 0.01). Conclusions: Anthropometric variables—particularly height, body mass, muscle mass, and body surface area—are strongly associated with rowing ergometer performance in adolescent athletes. These findings underscore the relevance of morphological profiling in youth rowing and provide descriptive insight into anthropometric–performance relationships during early junior rowing. Full article