Search Results (188)

Background and Objectives: Malnutrition is one of the most common complications in patients undergoing hemodialysis (HD) and is closely linked to increased morbidity and mortality. This study aimed to investigate the nutritional status of HD patients and the clinical relevance of bioelectrical impedance analysis (BIA) parameters such as the percent body fat (PBF), skeletal muscle mass index (SMI), extracellular water-to-total body water ratio (ECW/TBW), and phase angle (PhA) in assessing malnutrition in Vietnamese HD patients. Materials and Methods: This cross-sectional study was conducted among 184 patients undergoing hemodialysis in Hanoi, Vietnam. The BIA parameters were measured by the InBody S10 body composition analyzer, while malnutrition was assessed by the geriatric nutritional risk index (GNRI), with a GNRI <92 classified as a high risk of malnutrition. The independent BIA variables for predicting malnutrition and its cut-off values were explored using logistic regression models and a receiver operating characteristic (ROC) curve analysis, respectively. Results: Among the study population, 42.9% (79/184) of patients were identified as being at a high risk of malnutrition. The multivariate logistic regression analysis revealed that a higher ECW/TBW was independently associated with an increased risk of malnutrition, while the PBF, SMI, and PhA expressed significant and inverse associations with the malnutrition risk after adjusting for multiple confounders. The cut-off values for predicting the high risk of malnutrition in overall HD patients were determined to be 20.45%, 7.75 kg/m², 5.45°, and 38.03% for the PBF, the SMI, the PhA, and the ECW/TBW ratio, respectively. Conclusions: BIA parameters, including the PBF, SMI, PhA, and ECW/TBW ratio, could serve as indicators of malnutrition in general Vietnamese patients with HD. Full article

Background/Objectives: After diagnosis, it is common for women with breast cancer to gain weight, which is associated with worse clinical outcomes. However, traditional measures such as body weight, BMI, and waist circumference do not detect key changes in body composition, such as fat redistribution or muscle loss. The objective of this exploratory study was to assess the evolution of body composition and muscle strength after one year of treatment, and their relationship with metabolic biomarkers. Methods: Prospective observational study in newly diagnosed breast cancer patients. Body composition was assessed using bioelectrical impedance analysis (BIA) and ultrasound (US); muscle strength was measured by handgrip dynamometry. Biomarkers analyzed included glucose, insulin, Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), glycosylated hemoglobin (HbA1c), total cholesterol (and its fractions), triglycerides, C-reactive protein (CRP), 6-interleukin (IL-6), vitamin D, myostatin, and fibroblast growth factor 21 (FGF-21). Results: Sixty-one women (mean age 58 years) were included. After one year, fat mass and related parameters significantly increased, while skeletal muscle mass and muscle strength decreased. Sarcopenic obesity prevalence rose from 1.16% to 4.9%. No significant changes were found in biomarkers, but positive correlations were observed between fat parameters and insulin, HOMA-IR, and triglycerides, and negative correlations with HDL-cholesterol. Conclusions: BIA and US can detect unfavorable changes in body composition that are not reflected in conventional measurements. At one year post-diagnosis, women showed increased fat accumulation, muscle loss, and reduced strength, even without significant metabolic biomarker changes. Further research is warranted to elucidate the long-term clinical implications of these findings and the external validity in larger cohorts. Full article

Background: Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder characterized by reproductive and metabolic abnormality disorders. Dietary factors influence the body composition and hydration status, which may exacerbate PCOS symptoms. The aim of this study was to assess the associations between the habitual nutrient intake and bioelectrical impedance analysis parameters in Polish women with PCOS and healthy controls, in order to identify potential nutritional targets for a non-pharmacological intervention. Methods: This study involved 50 women aged 18–45 years (25 with PCOS and 25 healthy). Participants kept 7-day food diaries and their body composition was assessed using the SECA mBCA 515 analyzer. The nutrient intake was compared with EFSA recommendations. Results: Women with PCOS had a higher body weight, waist circumference and body mass index, visceral adipose tissue, and fat mass index, despite no difference in their total energy intake. They consumed more omega-3 fatty acids (EPA + DHA) than the control group. Vitamin D deficiency and irregular supplementation were common in both groups. Body composition parameters such as the phase angle and ECW/TBW ratio correlated with the diet quality—especially with protein; fiber; and vitamin B2, B12, and folate levels. Conclusions: The obtained results showed significant differences in body compositions and the presence of a relationship between the nutrient intake and bioimpedance parameters in women with PCOS. These results emphasize the importance of a comprehensive nutritional and body composition assessment in planning dietary interventions in this group of patients. Full article

Background/Objectives: Celiac disease (CD) alters nutrient absorption and body composition, especially during childhood. Although adherence to a gluten-free diet (GFD) promotes mucosal recovery, its impact on cellular functionality and metabolic balance remains underexplored. This study aims to evaluate the utility of bioelectrical impedance vector analysis (BIVA) in assessing nutritional status, inflammatory improvement, and body composition changes in pediatric patients with CD following a GFD. Methods: Seventy-nine children aged 5–14 years were studied. Three groups were analyzed: (1) 25 children with newly diagnosed CD, evaluated at diagnosis and after 12 months of GFD (prospective cohort); (2) 25 CD patients on a GFD for over 24 months (cross-sectional); and (3) 29 healthy controls. Body composition (fat mass (FM), fat-free mass (FFM), body cell mass (BCM), phase angle (PhA), and Na⁺/K⁺ ratio) was measured. GFD adherence was assessed and a dietary assessment was also performed. Results: After 12 months on a GFD, newly diagnosed CD patients showed significant increases in FM (from 8.2 to 10.1 kg, p = 0.001), FFM (p = 0.001), and BCM (p = 0.0001), along with a significant decrease in the Na⁺/K⁺ ratio (p = 0.015). Compared to healthy controls, CD children on GFD for more than 24 months had higher FM (12.2 vs. 8.8 kg, p = 0.013) and lower Na⁺/K⁺ ratios (p = 0.006). PhA increased slightly over time but did not reach statistical significance. Conclusions: Our study suggests that the adherence to a GFD leads to improved body composition and cellular homeostasis in children with CD, as reflected by increases in BCM and reductions in Na⁺/K⁺ ratio, making it a promising biomarker for monitoring inflammation and cellular recovery. Full article

Background: Bariatric surgeries, specifically laparoscopic sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB), are a common intervention for morbid obesity, significantly affecting food tolerance and quality of eating. Understanding these changes is crucial for improving postoperative care and long-term success. Methods: This observational study at University Hospital Mannheim involved 91 patients, aged between 18 and 65 year, who underwent SG or RYGB between 2009 and 2019. Food tolerance was assessed between 25 days and 117 months after surgery using the validated score by Suter et al. (Food Tolerance Score, FTS) and an additional score evaluating tolerance to specific food groups and quality of life. Data on body composition were collected through Bioelectrical Impedance Analysis (BIA) at follow-up visits. Statistical analyses included linear mixed models to analyze the association of food tolerance with body composition changes. Results: The FTS indicated moderate or poor food tolerance in 62.6% of patients, with no significant differences between SG and RYGB. Considering the results of the additional score, food groups such as red meat, wheat products, raw vegetables, carbon dioxide, fatty foods, convenience food, and sweets were the most poorly tolerated food groups. A total of 57 of the participants had a baseline and follow-up BIA measurement. Postoperatively, a significant reduction in body weight and BMI as well as in BIA parameters (fat mass, lean mass, body cell mass, and phase angle) was found. Quality of life improved after bariatric surgery and 76.9% rated their nutritional status as good or excellent, despite possible food intolerances. Conclusions: Bariatric surgery significantly reduces weight and alters food tolerance. Despite moderate or poor food tolerance, patients reported high satisfaction with their nutritional status and quality of life. Detailed food tolerance assessments and personalized dietary follow-ups are essential for the early detection and management of postoperative malnutrition, ensuring sustained weight loss and improved health outcomes. Full article

Objectives: To describe the results of nutritional and morphofunctional assessment in a cohort of adults with cystic fibrosis; to evaluate differences in nutritional status between patients with and without exocrine and/or endocrine pancreatic involvement. Methods: Cross-sectional study: A cohort of adults with cystic fibrosis evaluated in a multidisciplinary unit was analyzed. Pancreatic status was examined, and malnutrition was diagnosed according to GLIM criteria. Morphofunctional assessment consisted of nutritional ultrasound, bioelectrical impedance, handgrip dynamometry, and anthropometry. Qualitative variables are expressed as n (%), quantitative variables as median (IQR). For group comparisons, Fisher’s exact test was used for qualitative variables and the non-parametric median comparison test for quantitative variables. Results: n = 101 participants were recruited, of whom 44 (43.6%) were women. Median age was 33 (25–40.5) years. A total of 64 participants (63.4%) had exocrine pancreatic insufficiency (EPI), 44 (43.6%) had endocrine pancreatic insufficiency, and 28 (27.7%) had cystic fibrosis-related diabetes (CFRD). Median BMI was 23.4 (20.1–24.89) kg/m². A total of 48 patients (47.5%) were malnourished. Males with EPI had a higher prevalence of undernourishment than those without (56.4% vs. 16.7%, p = 0.005), but not women. CFRD patients displayed no differences in morphofunctional assessment. Conclusions: Almost half the sample was undernourished using GLIM criteria. Males with exocrine pancreatic insufficiency had worse nutritional status. Endocrine pancreatic involvement did not affect nutritional status. Full article

Background/Objectives: Higher percent body fat (BF) is associated with worse outcomes after treatment for breast cancer (BC). While ultrasound (US) imaging is a reliable method for analyzing body composition, it requires trained individuals for utilization. As such, bioelectrical impedance analysis (BIA) has been suggested as an alternative. Therefore, the goal of this study was to compare BIA with US. Methods: Women from three prospective exercise BC studies were analyzed with US and BIA before an exercise intervention. Spearman’s correlation was used as a nonparametric measure to examine bivariate relationships between percent body fat measured by BIA and US. Results: In total, 106 women with BC had their body composition measured using both US and BIA. Despite a strong correlation between the two methods (r = 0.8, p < 0.01), US reported lower mean percent BF vs. BIA (34.6 ± 0.7% vs. 38.0 ± 0.8%, p < 0.01). In a subgroup analysis, concordance was seen in women with a body mass index below (BMI) ≤ 26 kg/m². BIA overreported percent BF compared to US in women with a BMI > 26 kg/m². Conclusions: In women with BC and BMI ≤ 26, US and BIA are in concordance when measuring BF. In women with a BMI > 26, BIA reports a higher BF than US. Overall, there was a strong correlation between modalities, while BMI can be used to guide the utilization of BIA as an alternative to US for assessing body composition. Full article

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. Full article

This paper presents a novel, low-cost, portable impedance analyzer system designed for biopotential electrode evaluation and skin/electrode impedance measurement, critical for enhancing bioelectrical signal quality in healthcare applications. In contrast with conventional systems that depend on external PCs or host devices for data acquisition, visualization, and analysis, this design integrates all functionalities into a single, compact platform powered by the Analog Devices AD5933 impedance converter and a Raspberry Pi 4. The design incorporates custom analog circuitry to extend the measurement range from 10 Hz to 100 kHz and supports a wide impedance spectrum through switchable feedback resistors. Validated against a benchtop impedance analyzer, the system demonstrates high accuracy with normalized root-mean-square errors (NRMSEs) of 1.41% and 3.77% for the impedance magnitude and phase of passive components, respectively, and 1.43% and 1.29% for the biopotential electrode evaluation and skin/electrode impedance measurement. This cost-effective solution, with a total cost of USD 159, addresses the accessibility challenges faced by smaller research labs and healthcare facilities, offering a compact, low-power platform for reliable impedance analysis in biomedical applications. Full article

Background: Locomotive syndrome (LS), a condition characterized by impaired mobility due to locomotive organ dysfunction, is highly prevalent among patients with cancer. The phase angle (PhA), measured via bioelectrical impedance analysis (BIA), reflects cellular health and nutritional status. This study aimed to investigate the association between LS and the PhA in patients with cancer. Methods: This cross-sectional study included hospitalized patients who underwent cancer treatment. The assessed variables included age, sex, body mass index (BMI), gait speed, grip strength, PhA, and the outcomes of LS risk assessment using the stand-up test, two-step test, and the 25-Geriatric Locomotive Function Scale (GLFS25). Results: A total of 190 patients (57 females, 133 males; mean age, 62.6 ± 17.2 years) were analyzed. The PhA was significantly negatively correlated with the LS stage (rs = −0.507, p < 0.001). Similarly, a significant negative correlation was observed between the PhA and each LS risk test, namely, the stand-up test, two-step test, and GLFS25. Furthermore, the PhA was identified as an independent and significant factor associated with LS progression (odds ratio, 0.361; 95% confidence interval, 0.221–0.588; p < 0.001). More effective and rapid than completing the full range of LS risk tests, measuring the PhA represents a convenient and practical tool for the early screening of mobility decline. Conclusions: The PhA is a simple and effective parameter for assessing mobility decline in patients with cancer. It is a potential clinical indicator for initiating rehabilitation interventions aimed at preventing the onset and progression of LS. Full article

Introduction: Sarcopenia and loss of skeletal muscle mass represent major public health concerns in aging populations. Although both diet and physical activity (PA) are recognized as modifiable determinants of muscle mass, their effects may differ by sex. This study aimed to examine dietary and behavioral correlates of muscle mass amongst community-dwelling adults aged 60–65 in Central Poland. Methods: The study included 134 women and 138 men. Body composition was assessed using bioelectrical impedance (Maltron Bioscan 920, Essex, UK). Dietary intake was evaluated using a 24 h recall analyzed with Dieta 5.0 software. PA was measured using the Seven-Day Physical Activity Recall Questionnaire and the Stanford Physical Activity Indices. Statistical analysis included bivariate correlations and general linear modeling performed separately for women and men. Results: In women, skeletal muscle mass (as a percent of body mass) showed significant positive associations with protein intake per kilogram of body weight, magnesium, phosphorus, and moderate health-related PA. Concomitantly, there was a negative correlation with lipids such as long-chain polyunsaturated fatty acids (PUFA). In multivariate models, protein intake remained the only predictor. In men, only protein intake per kilogram of body weight demonstrated a significant association with muscle mass; no other dietary or PA factors were retained in the model. Conclusions: The findings indicate that dietary and behavioral factors influencing muscle mass vary by sex. While muscle mass in women is linked to multiple nutritional and lifestyle factors, men appear primarily responsive to total protein intake. These sex-specific differences may underscore the importance of tailored strategies in sarcopenia prevention. Full article

Background: The variation in the body mass and height of players over time is called the secular trend. It has been analyzed in several team sports, but no similar studies have been conducted on female athletes playing water polo. The aim of this paper was to study the changes that have occurred in the body size and composition of female water polo athletes participating in the Olympic Games, from their first inclusion in the Olympics (2004) until today. Methods: Data were collected from the female water polo players of the National Team selected to participate in the Olympic Games from 2004 (Athens) until 2024 (Paris) and then analyzed. A total of 93 athletes were assessed, and we analyzed the data for each of the Olympics between 2004 and 2024. To evaluate the anthropometric characteristics of the athletes, their body mass and height were recorded and their Body Mass Index (BMI) was then calculated. The athletes’ Body Composition (BC) was assessed using bioelectrical impedance analysis (BIA). Results: The athletes’ average age decreases over time, while their body mass increases. Their body height does not vary significantly. The BMI confirmed that the athletes were always healthy and with a correct diet. With regard to BC, the Fat Free Mass (FFM) values exhibit an increasing trend. Conclusions: The water polo female athletes participating in the 2024 Olympic Games were younger and have different anthropometric and BC values than the athletes playing in the first women’s water polo tournament at the Olympics in 2004. The most likely explanation for this is the rapid evolution of the young female version of the sport, with improved recruitment and training strategies and greater attention paid to nutrition. Full article

Electroencephalography (EEG) remains an essential method for monitoring brain activity, but the limitations of conventional systems due to the complexity of installation and lack of portability have led to the introduction and development of in-ear EEG technology. In-ear EEG is an emerging method of recording electrical activity in the brain and is an innovative concept that offers multiple advantages both from the point of view of the device itself, which is easily portable, and from the user’s point of view, who is more comfortable with it, even in long-term use. One of the fundamental components of this type of device is the electrodes used to capture the EEG signal. This innovative method allows bioelectrical signals to be captured through electrodes integrated into an earpiece, offering significant advantages in terms of comfort, portability, and accessibility. Recent studies have demonstrated that in-ear EEG can record signals qualitatively comparable to scalp EEG, with an optimized signal-to-noise ratio and improved electrode stability. Furthermore, this review provides a comparative synthesis of performance parameters such as signal-to-noise ratio (SNR), common-mode rejection ratio (CMRR), signal amplitude, and comfort, highlighting the strengths and limitations of in-ear EEG systems relative to conventional scalp EEG. This study also introduces a visual model outlining the stages of technological development for in-ear EEG, from initial research to clinical and commercial deployment. Particular attention is given to current innovations in electrode materials and design strategies aimed at balancing biocompatibility, signal fidelity, and anatomical adaptability. This article analyzes the evolution of EEG in the ear, briefly presents the comparative aspects of EEG—EEG in the ear from the perspective of the electrodes used, highlighting the advantages and challenges of using this new technology. It also discusses aspects related to the electrodes used in EEG in the ear: types of electrodes used in EEG in the ear, improvement of contact impedance, and adaptability to the anatomical variability of the ear canal. A comparative analysis of electrode performance in terms of signal quality, long-term stability, and compatibility with use in daily life was also performed. The integration of intra-auricular EEG in wearable devices opens new perspectives for clinical applications, including sleep monitoring, epilepsy diagnosis, and brain–computer interfaces. This study highlights the challenges and prospects in the development of in-ear EEG electrodes, with a focus on integration into wearable devices and the use of biocompatible materials to improve durability and enhance user comfort. Despite its considerable potential, the widespread deployment of in-ear EEG faces challenges such as anatomical variability of the ear canal, optimization of ergonomics, and reduction in motion artifacts. Future research aims to improve device design for long-term monitoring, integrate advanced signal processing algorithms, and explore applications in neurorehabilitation and early diagnosis of neurodegenerative diseases. Full article

Resting metabolic rate (RMR) significantly impacts total daily energy expenditure, particularly on training days, and varies among trained individuals. Studies estimating RMR in this population show notable discrepancies. This study aimed to develop and validate new bioelectrical impedance analysis-based (BIA) RMR equations for young athletes, using a calibration and a validation group of 219 and 51 participants, respectively. RMR was measured via indirect calorimetry, while body composition was assessed through DXA and BIA. Correlation and agreement were evaluated by using Pearson’s correlation coefficients and Bland–Altman analysis. Multiple linear regression was applied for the estimation of RMR and a one-way ANOVA was used to compare the new BIA-based equations with other specific formulas. A significant correlation was noted between the BIA and DXA measurements. The final equation, applicable to both genders, was significantly correlated with intracellular water (ICW) and trunk fat, predicting 71.1% of RMR variance. When analyzed separately, body weight and protein displayed a moderate correlation with RMR in men (r = 0.616, p < 0.001), while ICW was correlated with the percentage of body fat in women (r = 0.579, p < 0.001). In the validation group, the values obtained through the three BIA-based equations were similar to the measured RMR, but differed significantly from those obtained through the four existing equations for trained individuals. In conclusion, the developed equations based on BIA-mediated body composition analysis provide a reliable method for estimating RMR in trained populations daily. Full article

Objectives: This study aimed to analyze the effect of a multimodal prehabilitation program for colorectal cancer patients in body composition, physical and cardiorespiratory fitness as well as its ability to reduce postoperative complications. Methods: A longitudinal observational study evaluated the efficacy of a prehabilitation intervention based on four components: (a) health education and self-care, (b) nutritional counseling, (c) psychological support, and (d) supervised physical exercise. Body composition was determined through bioelectrical impedance analysis; physical fitness variables such as strength was measured by a handgrip dynamometer for upper limbs, and a squat–jump test, countermovement jump test using a contact platform, and a chair–stand test for lower limbs. Flexibility was assessed with the sit-and-reach test. Cardiorespiratory fitness was assessed with the 6 min walking test (6MWT). Moreover, we measured lifestyles related to the amount of physical exercise by accelerometry. Results: The final cohort included 30 patients. Patients completed an average of 9.90 ± 5.26 exercise sessions. Statistically significant changes with varying effect sizes were observed in the following outcomes: SJ values in cm and W for both sexes (p = 0.021/d = 0.14 and p = 0.043/d = 0.10, respectively), SJ in W for women (p = 0.023/d = 0.21), all chair-stand test values (p = 0.021/d = 0.65 for men, p = 0.004/d = 2.08 for women, and p = 0.000/d = 0.84 for both sexes), and sit-and-reach for both sexes (p = 0.005/d = 0.12) and for men (p = 0.044/d = 0.08). All 6MWT values had statistically significant changes (p = 0.001/0.46). Women reduced the weekly minutes spent in sedentary behavior (p = 0.037/d = 0.65) and increased the minutes spent performing light physical activity (p = 0.037/d = 0.63). With regard to surgical outcomes, there was a tendency towards a decrease in postoperative complications and hospitalization days, as well as minutes in postoperative REA (p = 0.009/d = 0.69) in relation to the control group. Conclusions: Participation in a multimodal prehabilitation program improves several aspects of physical condition and lifestyles related to the amount of physical exercise and reduces both days of hospitalization and several complications post-surgery. Full article