Athletic bioimpedance-based equations underestimate fat free mass components in male elite soccer players: development and validation of new soccer-specific predictive models.

BACKGROUND: Bioelectrical impedance analysis (BIA) is a rapid and user-friendly technique for assessing body composition in sports. Currently, no sport-specific predictive equations are available, and the utilization of generalized formulas can introduce systematic bias. The objectives of this study were as follows: (i) to develop and validate new predictive models for estimating fat-free mass (FFM) components in male elite soccer players; (ii) to evaluate the accuracy of existing predictive equations. METHODS: A total of 102 male elite soccer players (mean age 24.7 ± 5.7 years), participating in the Italian first league, underwent assessments during the first half of the in-season period and were randomly divided into development and validation groups. Bioelectrical resistance (R) and reactance (Xc), representing the bioimpedance components, were measured using a foot-to-hand BIA device at a single frequency of 50 kHz. Dual-energy X-ray absorptiometry was employed to acquire reference data for FFM, lean soft tissue (LST), and appendicular lean soft tissue (ALST). The validation of the newly developed predictive equations was conducted through regression analysis, Bland-Altman tests, and the area under the curves (AUC) of regression receiver operating characteristic (RROC) curves. RESULTS: Developed models were: FFM = - 7.729 + (body mass × 0.686) + (stature2/R × 0.227) + (Xc × 0.086) + (age × 0.058), R2 = 0.97, Standard error of estimation (SEE) = 1.0 kg; LST = - 8.929 + (body mass × 0.635) + (stature2/R × 0.244) + (Xc × 0.093) + (age × 0.048), R2 = 0.96, SEE = 0.9 kg; ALST = - 24.068 + (body mass × 0.347) + (stature2/R × 0.308) + (Xc × 0.152), R2 = 0.88, SEE = 1.4 kg. Train-test validation, performed on the validation group, revealed that generalized formulas for athletes underestimated all the predicted FFM components (p < 0.01), while the new predictive models showed no mean bias (p > 0.05), with R2 values ranging from 0.83 to 0.91, and no trend (p > 0.05). The AUC scores of the RROC curves indicated an accuracy of 0.92, 0.92, and 0.74 for FFM, LST, and ALST, respectively. CONCLUSIONS: The utilization of generalized predictive equations leads to an underestimation of FFM and ALST in elite soccer players. The newly developed soccer-specific formulas enable valid estimations of body composition while preserving the portability of a field-based method.

The diagnostic value of phase angle, an integrative bioelectrical marker, for identifying individuals with dysmobility syndrome: the Korean Urban-Rural Elderly study.

Low phase angle, a non-invasive bioimpedance marker, is associated with elevated odds of dysmobility syndrome and its components. Phase angle (estimated cutoffs: < 4.8° in men; < 4.5° in women) can be used to detect dysmobility syndrome in community-dwelling older adults as a simple, integrative screening tool. INTRODUCTION: Dysmobility syndrome uses a score-based approach to predict fracture risk that incorporates the concepts of osteoporosis, sarcopenia, and obesity. Low phase angle (PhA), a simple, non-invasive bioelectrical impedance marker, was associated with low lean mass, high fat mass, and poor muscle function. We aimed to investigate the association between PhA and dysmobility syndrome, with the exploration of the diagnostic cutoffs. METHODS: In a community-dwelling Korean older adult cohort, dysmobility syndrome was defined as the presence of ≥ 3 of the following components: osteoporosis, low lean mass, falls in the preceding year, low grip strength, high fat mass, and poor timed up and go performance. RESULTS: Among the 1825 participants (mean age 71.6, women 66.7%), subjects were classified into sex-stratified PhA tertiles. The prevalence of dysmobility syndrome increased from the highest PhA tertile group to the lowest (15.50 to 2.45% in men; 33.41 to 12.25% in women, P for trend < 0.001). The mean PhA values decreased as the dysmobility score increased (5.33° to 4.65° in men; 4.76° to 4.39° in women, P for trend < 0.001). Low PhA (cutoff: < 4.8° in men; < 4.5° in women) was associated with twofold elevated odds of dysmobility syndrome after adjusting for age, sex, and conventional risk factors. Low PhA improved the identification of individuals with dysmobility syndrome when added to the conventional risk model (area under the curve, 0.73 to 0.75, P = 0.002). CONCLUSION: Low PhA was associated with dysmobility syndrome and its components, independent of age, sex, body mass index, nutritional status, and inflammation.

Development of population-specific prediction equations for bioelectrical impedance analyses in Vietnamese children.

There is a need for accurate, inexpensive and field-friendly methods to assess body composition in children. Bioelectrical impedance analysis (BIA) is a promising approach; however, there have been limited validation and use among young children in resource-poor settings. We aim to develop and validate population-specific prediction equations for estimating total fat mass (FM), fat free-mass (FFM) and percentage body fat (PBF) in Vietnamese children (4-7 years) using reactance and resistance from BIA, anthropometric variables and demographic information. We conducted a cross-sectional survey of 120 children. Body composition was measured using dual-energy X-ray absorptiometry (DXA), BIA and anthropometry. To develop prediction equations, we split all data into development (70 %) and validation datasets (30 %). The model performance was evaluated using predicted residual error sum of squares, root mean squared error (RMSE), mean absolute error (MAE) and R2. We identified a top performing model with the least number of parameters (age, sex, weight and resistance index or resistance and height), low RMSE (FM 0·70, FFM 0·74, PBF 3·10), low MAE (FM 0·55, FFM 0·62, PBF 2·49), high R2 (FM 0·95, FFM 0·92, PBF 0·82) and the least difference between predicted values and actual values from DXA (FM 0·03 kg or 0·01 sd, FFM 0·06 kg or 0·02 sd, PBF 0·27 % or 0·04 sd). In conclusion, we developed the first valid and highly predictive equations to estimate FM, FFM and PBF in Vietnamese children using BIA. These findings have important implications for future research on the double burden of disease and risks associated with overweight and obesity in young children.

Prevalence and related factors of sarcopenia in newly diagnosed cancer patients.

INTRODUCTION: Sarcopenia is defined as the loss of muscle mass and muscular functioning. Although sarcopenia prevalence is highly variable in the literature, pre-chemotherapy sarcopenia prevalence was not well studied in newly diagnosed cancer patients. In this context, the present study aims to determine the prevalence of sarcopenia and its related factors in this population. MATERIAL AND METHODS: Prospectively, newly diagnosed cancer patients were evaluated for body composition measurement and muscle strength by employing the bioelectric impedance analysis method and handgrip dynamometer tool. RESULTS: A total of 461 patients were included in the study. The median age of patients was 59 years (range 18-83) and 258 patients (56%) were women. Sarcopenia was present in 77 patients (16.7%) and was at significantly higher frequencies in men (p = 0.015), advanced age (≥ 65 years, p = 0.014), lower body mass index (BMI < 25, p = < 0.001), and poor performance status (ECOG status > 0, p = 0.026). In multivariate analyses, advanced age (over 65 years), gender (men), and lower body mass index (BMI < 25) were significantly associated with sarcopenia (p values 0.033, < 0.001, and < 0.001, respectively). CONCLUSIONS: Our study is the first prevalence study conducted with bioelectric impedance analysis on Turkish cancer patients and sarcopenia was detected to be notably prevalent among our patients with newly diagnosed cancer. Given the likely negative outcomes of sarcopenia reported in the literature (treatment failure, increased complications, and impaired survival), it is important to know the presence of sarcopenia before treatment and take preventive precautions.

Using Body Mass Index and Bioelectric Impedance Analysis to Assess the Need for Positive Oral Contrast Agents Before Abdominopelvic CT.

OBJECTIVE: The objective of this study was to determine whether body fat percentage, measured using a portable handheld bioelectric impedance analysis (BIA) device, and body mass index (BMI, weight in kilograms divided by the square of height in meters) can estimate the amount of intraabdominal and intrapelvic fat and thereby predict the need for oral contrast material before abdominopelvic CT. SUBJECTS AND METHODS: A prospective, institutional review board-approved study consisting of 101 patients who presented to the emergency department of a level I trauma center was conducted between June 1, 2016, and July 19, 2016. A medical student calculated patients' BMI and obtained body fat measurements from a handheld BIA device. Three fellowship-trained and board-certified radiologists who were blinded to the collected data then assigned a score of 1-5 on the basis of the amount of intraabdominal and intrapelvic fat seen on CT images. A McNemar test was used to compare overall sensitivity and specificity of this method, and a weighted Fleiss kappa score was used to determine interobserver variability between the three radiologists. RESULTS: Nearly all (97%) of the patients with high BMI (BMI ≥ 25) had sufficient amounts of intraabdominal and intrapelvic fat to allow delineation of anatomic structures without the use of oral contrast material. Of the patients with low BMI (BMI ≤ 21), 83% had inadequate amounts of fat to separate intraabdominal and intrapelvic structures. For patients with intermediate BMIs (21 < BMI < 25), BIA-determined body fat percentage of 30% or more can be used to predict whether a patient will have sufficient intraabdominal and intra-pelvic fat to obviate oral contrast material for CT. CONCLUSION: Using BIA in addition to BMI accurately predicts amount of intraabdominal and intrapelvic fat. This information may help guide the decision to use oral contrast material in patients presenting for abdominopelvic CT.

Assessing the reliability of FTIR spectroscopy measurements and validity of bioelectrical impedance analysis as a surrogate measure of body composition among children and adolescents aged 8-19 years attending schools in Kampala, Uganda.

BACKGROUND: Accurate measurement of body composition in children and adolescents is important as the quantities of fat and fat-free mass have implications for health risk. The objectives of the present study were: to determine the reliability of Fourier Transform Infrared spectroscopy (FTIR) measurements and; compare the Fat Mass (FM), Fat Free Mass (FFM) and body fat percentage (%BF) values determined by bioelectrical impedance analysis (BIA) to those determined by deuterium dilution method (DDM) to identify correlations and agreement between the two methods. METHODS: A cross-sectional study was conducted among 203 children and adolescents aged 8-19 years attending schools in Kampala city, Uganda. Pearson product-moment correlation at 5% significance level was considered for assessing correlations. Bland Altman analysis was used to examine the agreement between of FTIR measurements and between estimates by DDM and BIA.. Reliability of measurements was determined by Cronbach's alpha. RESULTS: There was good agreement between the in vivo D2O saliva enrichment measurements at 3 and 4 h among the studied age groups based on Bland-Altman plots. Cronbach's alpha revealed that measurements of D2O saliva enrichment had very good reliability. For children and young adolescents, DDM and BIA gave similar estimates of FFM, FM, and %BF. Among older adolescents, BIA significantly over-estimated FFM and significantly under-estimated FM and %BF compared to estimates by DDM. The correlation between FFM, FM and %BF estimates by DDM and BIA was high and significant among young and older adolescents and for FFM among children. CONCLUSIONS: Reliability of the FTIR spectroscopy measurements was very good among the studied population. BIA is suitable for assessing body composition among children (8-9 years) and young adolescents (10-14 years) but not among older adolescents (15-19 years) in Uganda. The body composition measurements of older adolescents determined by DDM can be predicted using those provided by BIA using population-specific regression equations.

[Nutritional status and energy metabolism characteristics in patients with nonalcoholic fatty liver disease].

Objective: To study the nutritional status and energy metabolic characteristics of patients with nonalcoholic fatty liver disease (NAFLD), and to provide evidence for clinical evaluation and intervention. Methods: A total of 359 NAFLD patients diagnosed on ultrasound from June 2015 to March 2017 were selected as study subjects and divided into mild, moderate to severe fatty liver disease group and 50 healthy subjects as control group. The changes of ICW, ECW, body fat, skeletal muscle, protein and visceral fat area (VFA) of patients and controls were analyzed by using body composition analyzer. The energy metabolism index was measured by the oxidation rate of resting energy expenditure(REE), respiratory quotient (RQ), and the oxidation rates of the three nutrients (CHO %, FAT %, and PRO %). According to different types of data, non-parametric tests like Kruskal-Wallis or χ(2) were used for this analysis. Results: Compared with the mild fatty liver group and the control group, the moderate and severe fatty liver group the BMI, waist circumference, waist-hip ratio were significantly elevated (P-value < 0.001), and their serum alanine aminotransferase, triglyceride, total cholesterol, high-density lipoprotein, low-density lipoprotein, FBS levels were significantly increased (P value < 0.05). The Body composition analysis showed that there was no significant difference in skeletal muscle content between the three groups (P = 0.067). The ICW, ECW, protein, body fat content of moderate and severe fatty liver group were significantly higher than those of mild fatty liver group and control group (P < 0.01), but there was no significant difference between the mild fatty liver group and the control group. There was significant difference in the VFA between the three groups, while VFA in the moderate and severe fatty liver group was significantly increased. Metabolic results showed that the RQ of patients with moderate-severe fatty liver and mild fatty liver were 0.72 ± 0.08 and 0.78 ± 0.06, respectively, which were lower than those of the control group (0.80 ± 0.02), P = 0.004. Resting energy expenditure (REE) was not significantly different between moderate and severe fatty liver group and mild fatty liver group (P = 0.207), but both were significantly higher than those of the control group (P < 0.001). The percentages of CHO, FAT and PRO in moderate and severe fatty liver group were 19.49% ± 9.71%, 66.23% ± 12.54% and 14.22% ± 6.11% respectively. Compared with the control group, CHO % decreased, and FAT % increased. Conclusion: NAFLD patients have different extent of nutritional imbalance and energy metabolism disorders, the use of Body Composition analyzer and metabolic cart can comprehensively assess and monitor NAFLD patient's nutrition and energy metabolism status, to provide a basis for clinical intervention.

Body mass index and body fat percentage in assessing obesity: An analytical study among the adolescents of Dibrugarh, Assam.

BACKGROUND: Body mass index (BMI) is one of the most commonly used indices to measure the weight status of an individual. However, it takes only height and weight of individual into account. The relative body composition can be calculated regardless of height and weight by body fat percentage (BF%). OBJECTIVES: The objectives of the study are (1) To assess the prevalence of obesity using BMI and BF% among early adolescents studying in schools of Dibrugarh. (2) To assess the relationship between BMI and BF%. METHODS: A cross-sectional analytical study was conducted among 1200 school going adolescents of 10-14 years in Dibrugarh town for 1 year. Weight status was assessed using the World Health Organization-2007 reference for BMI and the McCarthy's body fat reference. Data were presented using percentages and mean with standard deviation. The correlation between the anthropometric variables was calculated using Pearson's correlation coefficient. Kappa statistics was used to analyze the agreement. RESULTS: Total participants included in the analysis were 1096 with a response rate of 91.3%. The prevalence of overweight and obesity by BMI was 20.9% and 10.2%, respectively. According to BF%, overweight was present in 16.4% participants and 10.9% were obese. Of the 625 normal weight participants (according to their BMI), 9.0% were overweight and 1% were obese under BF% criteria. Again, of 682 participants who were normal by BF%, 15.2% were categorized as obese by BMI criteria. BMI and BF% had a significant high positive correlation (r = 0.70 and P < 0.001). The measurement of agreement by Kappa statistics was 0.621 which was significant (P < 0.001). CONCLUSIONS: BMI and BF% positively correlate with each other. BMI accompanied by BF% in the studies might give a better picture of the adiposity of an adolescent.

Body Composition in Children with Chronic Illness: Accuracy of Bedside Assessment Techniques.

OBJECTIVE: To evaluate the accuracy of estimated fat mass and fat-free mass from bedside methods compared with reference methods in children with chronic illnesses. STUDY DESIGN: Fat mass and fat-free mass values were obtained by skinfold, bioelectrical impedance analysis (BIA), dual-energy x-ray absorptiometry (DXA), and deuterium dilution method in children with spinal muscular atrophy, intestinal failure, and post hematopoietic stem cell transplantation (HSCT). Spearman's correlation and agreement analyses were performed between (1) fat mass values estimated by skinfold equations and by DXA and (2) fat-free mass values estimated by BIA equations and by DXA and deuterium dilution methods. Limits of agreement between estimating and reference methods within ±20% were deemed clinically acceptable. RESULTS: Fat mass and fat-free mass values from 90 measurements in 56 patients, 55% male, and median age of 11.6 years were analyzed. Correlation coefficients between the skinfold-estimated fat mass values and DXA were 0.93-0.94 and between BIA-estimated fat-free mass values and DXA were 0.92-0.97. Limits of agreement between estimated and DXA values of fat mass and fat-free mass were greater than ±20% for all equations. Correlation coefficients between estimated fat-free mass values and deuterium dilution method in 35 encounters were 0.87-0.91, and limits of agreement were greater than ±20%. CONCLUSION: Estimated body composition values derived from skinfold and BIA may not be reliable in children with chronic illnesses. An accurate noninvasive method to estimate body composition in this cohort is desirable.

Early-pregnancy percent body fat in relation to preeclampsia risk in obese women.

OBJECTIVE: The purpose of this study was to identify differences of early-pregnancy body fat percentage and body mass index (BMI) between obese women that experienced preeclampsia and those who did not. STUDY DESIGN: We performed an analysis of the Prenatal Exposures and Preeclampsia Prevention 3 longitudinal cohort study of preeclampsia mechanisms in obese and overweight women. Women completed questionnaires regarding their health behaviors; had hematocrit level, weight and height, and waist and hip circumferences measured, and had resistance and reactance measured by bioelectric impedance analysis machine during the first, second, and third trimesters. Total body water, fat mass, and percent body fat were calculated with the use of pregnancy-specific formulas. Preeclampsia was assessed with the clinical definition and a research definition (clinical preeclampsia plus hyperuricemia). Logistic regression models were constructed to analyze early-pregnancy BMI and body fat percentage (measured at 10.2 ± 3.0 weeks of gestation) as predictors of preeclampsia outcomes. RESULTS: Three hundred seventy-three women were included in the analysis: 30 women had preeclampsia by clinical definition (8.0%), and 14 women had preeclampsia by the research definition (3.8%). There was no relationship between BMI and preeclampsia risk in obese women; however, body fat percentage was associated significantly with increased risk of both the clinical definition of preeclampsia and the research definition. In 239 obese women, a 1% increase in body fat was associated with approximately 12% increased odds of clinical preeclampsia and 24% increased risk of preeclampsia by the research definition. CONCLUSION: Early-pregnancy body fat appears to be important in the pathophysiologic condition of preeclampsia in obese women.

Bioelectric impedance analysis of body composition of children and adolescents with sickle cell anemia in Enugu, Nigeria.

BACKGROUND: Body composition indices are widely used to evaluate growth and nutrition in children, particularly those with sickle cell anemia (SCA), who are known to have impaired growth, impaired skeletal maturation, and delayed puberty. The current study is aimed at determining the body composition of children with SCA. METHODS: Consecutive selection of SCA children aged 6 to 18 years, who served as subjects and their age and gender matched children with HbAA (controls), selected using multi-stage systematic sampling. It was a cross-sectional descriptive study conducted at the pediatric hematology and oncology clinic. Bioelectric impedance analysis was used to determine the body composition parameters, including weight, body fat percentage (BFP), visceral fat percentage, body mass index (BMI), skeletal muscle percentage, and resting metabolic rate. Data were analyzed using SPSS 16.0 at P < 0.05. RESULTS: One hundred and thirty-two subjects and controls respectively were studied. Subjects had lower body composition parameters compared with controls, with the older male subjects aged 10 to 18 years, having lower body composition indices (weight, height, BMI, and BFP) compared with controls. Visceral fat percentage was low in both subjects and controls. CONCLUSIONS: Children with SCA, particularly the older males, have impaired body composition indices. There is a need to conduct further studies to determine the longitudinal aspects of growth as well as quantitative and qualitative assessment of nutritional intake in children with SCA, which will inform higher alimentation requirements for HbSS children as compared with HbAA individuals.

Effect of raised body fat on vitamin D, leptin and bone mass.

OBJECTIVE: To estimate leptin, vitamin D and bone mineral density levels in individuals with high fat mass, and to assess any correlation. METHODS: The cross-sectional study was conducted at the Basic Medical Sciences Institute, Jinnah Post Graduate Medical Centre, Karachi, and Aga Khan University, Karachi, from August 2012 to July 2014, and comprised healthy male volunteers between the ages of 18-60 years. Body fat percentage was determined using bioelectrical impedance analysis and the participants were classified as: Group A (15-21.9); Group B (22-27.9); and Group C (>28). Bone mineral density was calculated by ultrasound bone densitometer (T-score between +1 and ?1 considered normal). Enzyme-linked immunosorbent assay kits were used to determine the levels of vitamin D and leptin. SPSS 19 was used for statistical analysis. RESULTS: A total of 132 male subjects participated in this study, with each of the 3 groups having 44(33.3%). Despite all groups having low Vitamin D, a marked decrease was observed in group C compared to groups A and B (p <0.018). Bone mineral density T-score was <-1; total calcium was within normal range in all three groups. Serum leptin was raised in Group C compared to group A and B (p=0.03). Body fat percentage was negatively associated with vitamin D (p=0.004; r = -0.351), while it was positively correlated with leptin (p =0.038; r = 0.256). CONCLUSIONS: Excess of body fat percentage led to decreased vitamin D and raised leptin. However, bone mineral density and calcium levels were within normal range, suggesting that other factors might have played a role in maintaining bone mass in obese individuals, such as leptin.

Neck circumference is a highly reliable anthropometric measure in older adults requiring long-term care.

The reliability of neck circumference measurement as an assessment tool for older adults requiring long-term care remains unknown. This study aimed to evaluate the reliability of neck circumference measurement in older adults requiring long-term care, and the effect of edema on measurement error. Two physical therapists measured the neck circumference. Intraclass correlation coefficient (ICC) and Bland-Altman analyses were performed to examine the reliability of neck circumference measurement. Correlation analysis was used to evaluate the relationship between edema values (extracellular water/total body water) and neck circumference measurement difference. For inter-rater reliability of neck circumference measurement, the overall ICC (2,1) was 0.98. The upper and lower limits of the difference between examiners ranged from -0.9 to 1.2 cm. There was no association between edema values and neck circumference measurement error. Thus, measurement of the neck circumference in older adults requiring long-term care is a reliable assessment tool, with a low error rate, even in older adults with edema.

High prevalence of muscle weakness and probable sarcopenia in patients with inflammatory bowel disease.

BACKGROUND: This study aimed to determine the prevalence of probable sarcopenia and sarcopenia in patients with inflammatory bowel disease (IBD) by using the European Working Group on Sarcopenia in Older People (EWGSOP2) diagnostic criteria. METHODS: Sarcopenia was assessed by using the sequential four-step algorithm. (1) Find: Sarcopenia risk by simple clinical symptom index (strength, assistance walking, rise from a chair, climb stairs, and falls [SARC-F questionnaire]). (2) Assess: Probable sarcopenia by low muscle strength on handgrip. (3) Confirm: Confirmed sarcopenia by low appendicular skeletal muscle mass on bioimpedance analysis. (4) Severity: Severe sarcopenia by low 4-m gait speed test. RESULTS: A total of 129 adult patients with IBD younger than 65 years and 50 age- and sex-matched healthy control (HC) participants were included to the study. Handgrip strength, gait speed, and SARC-F scores were significantly lower in patients with IBD than in the HCs (P = 0.032, <0.0001, and <0.0001, respectively). Based on the EWGSOP2 definition, 17.8% of patients with IBD had probable sarcopenia, and six patients had confirmed sarcopenia. According to the ethnicity-based population thresholds, 34.9% of patients with IBD had probable sarcopenia, and two patients had confirmed sarcopenia. Corticosteroid use within the past year was identified as an independent risk factor for low muscle strength (P = 0.012; odds ratio, 4.133), along with advanced age and disease activity. CONCLUSION: One-third of the patients younger than 65 years with IBD had probable sarcopenia, defined as low muscle strength, whereas the incidence of confirmed sarcopenia remained relatively low.

Phase angle at bioelectric impedance analysis is associated with detrimental sperm quality in idiopathic male infertility: a preliminary clinical study.

Background: In 2020, 38% of adults were affected by obesity, while infertility globally affected 1 in 6 people at some stage of their lives.Body mass index (BMI) provides an easy but occasionally inaccurate estimation of body composition. To achieve a more precise assessment, bioelectric impedance analysis serves as a validated tool that administers electrical energy through surface electrodes. Phase angle as a function of the relationship between tissues resistance and reactance, is a trustworthy predictor of body composition and cell membrane integrity. Objectives: We aim to assess whether there is an association between phase angle and seminal parameters, as well as sperm DNA fragmentation percentage. Design: Semen samples of 520 idiopathic infertile patients were analyzed according to 2021 World Health Organization guidelines and evaluated for sperm DNA fragmentation rate. Each participants underwent bioelectric impedance analysis. Results: Median age was 40 years old, median BMI was 26.3 kg/m2, median phase angle was 6.2°. In the logistic regression analysis adjusted for age and total intracorporeal water, phase angle (continuous) was significantly associated with oligozoospermia (odds ratio [OR]:0.4; p<0.01) and sperm morphology (OR: 0.65; p=0.05) and slightly with sperm DNA fragmentation (OR: 0.98; p=0.07). In subgroup analysis, the logistic regression analysis adjusted for the mentioned parameters showed that a phase angle between 6.2 and 7 (°) (OR: 0.63; p=0.02) and >7 (°) (OR: 0.12; p<0.01) were associated with a reduced risk of oligozoospermia compared to values <6.2 (°). Similarly, a phase angle between 6.2 and 7 (°) (OR: 0.57; p< 0.01 and OR: 0.58; p= 0.01) and PA > 7 (°) (OR: 0.12; p= 0.03 and OR: 0.21; p< 0.01) were associated with a reduced risk of lower sperm concentration and lower total sperm count, respectively, compared to a phase angle < 6.2 (°). Conclusion: Our study suggests a negative association between phase angle and detrimental sperm parameters in male idiopathic infertility.

Prevalence and outcome of sarcopenia in non-alcoholic fatty liver disease.

BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) includes a spectrum of conditions, progressing from mild steatosis to advanced fibrosis. Sarcopenia, characterized by decreased muscle strength and mass, shares common pathophysiological traits with NAFLD. An association exists between sarcopenia and increased NAFLD prevalence. However, data on the prevalence of sarcopenia in NAFLD and its impact on the outcomes of NAFLD remain inconsistent. AIM: To analyze the prevalence and outcomes of sarcopenia in patients with NAFLD. METHODS: We conducted a comprehensive search for relevant studies in MEDLINE, Embase, and Scopus from their inception to June 2023. We included studies that focused on patients with NAFLD, reported the prevalence of sarcopenia as the primary outcome, and examined secondary outcomes, such as liver fibrosis and other adverse events. We also used the Newcastle-Ottawa scale for quality assessment. RESULTS: Of the 29 studies included, the prevalence of sarcopenia in NAFLD varied widely (1.6% to 63.0%), with 20 studies reporting a prevalence of more than 10.0%. Substantial heterogeneity was noted in the measurement modalities for sarcopenia. Sarcopenia was associated with a higher risk of advanced fibrosis (odd ratio: 1.97, 95% confidence interval: 1.44-2.70). Increased odds were consistently observed in fibrosis assessment through biopsy, NAFLD fibrosis score/body mass index, aspartate aminotransferase to alanine aminotransferase ratio, diabetes (BARD) score, and transient elastography, whereas the fibrosis-4 score showed no such association. Sarcopenia in NAFLD was associated with a higher risk of steatohepatitis, insulin resistance, cardiovascular risks, and mortality. CONCLUSION: This systematic review highlights the critical need for standardized diagnostic criteria and measurement methods for sarcopenia in NAFLD patients. The variability in study designs and assessment methods for sarcopenia and liver fibrosis may account for the inconsistent findings. This review demonstrates the multidimensional impact of sarcopenia on NAFLD, indicating its importance beyond liver-related events to include cardiovascular risks, mortality, and metabolic complications.

Optimal Cut-Off Values for Body Mass Index and Fat Mass Index Based on Age in Physically Active Males Using Receiver Operating Characteristic Curve.

This study aims to redefine obesity cut-off points for body mass index (BMI) and fat mass index (FMI) according to the different age groups of physically active males. Healthy physically active volunteers (N = 1442) aged 18-57 years (y), with a mean BMI = 22.7 ± 2.8 kg/m2, and mean FMI = 4.3 ± 1.7 kg/m2 were recruited from various fitness centers. BMI was calculated and individuals were categorized according to the Asia-Pacific BMI criterion of ≤22.9 kg/m2 and the previous WHO-guided BMI criterion of ≤24.9 kg/m2. FMI was also calculated for the study participants with a cut-off of 6.6 kg/m2. Redefining of BMI and FMI cut-off values was carried out based on different age groups categorized with a difference of 10 y and 5 y using the receiver operating characteristic (ROC) curve and Youden's index. For the entire study population, BMI redefined cut-off points for overweight and obesity were 23.7 kg/m2 and 24.5 kg/m2, respectively, while FMI redefined cut-off points for overweight and obesity were 4.6 kg/m2 and 5.7 kg/m2, respectively. With 10 y of age group difference, a constant BMI and FMI values were observed, while with 5 y of age group difference, a constant increase in the BMI cut-offs was observed as the age group increased, i.e., from 23.3 kg/m2 in 20-24 y to 26.6 kg/m2 in ≥45 y and a similar trend was seen in FMI cut-offs. To conclude, our study suggests that age-dependent BMI and FMI cut-off points may provide appropriate measurements for physically active males as the age group increases.

Body Composition in Outpatient Children with Cerebral Palsy: A Case-Control Study.

Purpose: The purpose of this study was to identify quantitative (BMI z-score and BMI percentile) and qualitative (BC) differences between high functioning outpatient children with CP (GMFCS levels I/II) vs TD children, using BIA. We hypothesized that: 1) BMI z-score and BMI percentile will be lower in children with CP compared with their TD peers; and 2) body components (BC) directly associated with muscle mass (including fat free mass (FFM%) and skeletal muscle mass (SMM) and predicted muscle mass (PMM)) in children with CP will be lower than in their TD peers. Patients and Methods: Ninety children with CP (GMFCS levels I/II) aged 8-16 years were enrolled in this study. Due to the fact that there is lack of normative values of particular body components in the pediatric population, ninety typically developing (TD) peers were used as references. The examination consisted of two parts: 1) the height measurement and 2) body composition assessments, both using the bioelectric impedance analysis (BIA). Results: Average values for height, weight, BMI z-score, and BMI percentile in children with CP were significantly statistically lower than in the reference group. BC's directly associated with muscle mass (including FFM%, SMM, and PMM) in children with CP were lower than those in their TD peers. Conclusion: Altered body compositions were evident in children with CP.

The effect of bioelectric impedance analysis on the success of extracorporeal shock wave lithotripsy.

Bioelectric impedance analysis (BIA) is a non-invasive method that can show the distribution of fatty and lean mass of the body. In this study, we aimed to determine the effect of BIA on extracorporeal shock wave lithotripsy (SWL) success. Our secondary aim was to determine the factors predicting transition from a single SWL session to multiple sessions. Patients who underwent SWL due to kidney stones were prospectively included. Demographics, pre-procedural BIA parameters (fat percentage, obesity degree, muscle mass, total water and metabolic rate), stone parameters, and number of SWL sessions were recorded. Univariate and multivariate regression analyzes were made to determine independent risk factors for success. Then, the successful group was divided into two subgroups according to their SWL session number as one session or multiple sessions and multivariate regression analysis was made to determine independent risk factors. Stone-free status was achieved in 114 (61.2%) of 186 patients. Stone Hounsfield Unit (HU) (OR: 0.998, p = 0.004), stone volume (OR: 0.999, p = 0.023) and fat percentage (OR: 0.933, p = 0.001) were independent risk factors for stone-free status in multivariate analysis. HU value of the stone (OR: 1.003, p = 0.005) and age (OR: 1.032, p = 0.031) were determined as independent risk factors for transition to multiple sessions in the subgroup analysis of the successful group. Fat percentage, stone volume, and stone density were determined as factors affecting success in SWL. Routine use of BIA may be considered to predict success before SWL. The probability of SWL success in a single session decreases as the age and stone's HU value increase.

Comparison of Actual and Predicted Resting Metabolic Rate in Women with Lipedema.

Background: An adequate dietary energy supply is particularly important in patients with lipedema as it promotes weight and fat loss. Accurate estimation of resting metabolic rate (RMR) allows implementing a proper calorie restriction diet in patients with lipedema. Our study aimed to compare actual resting metabolic rate (aRMR) with predicted resting metabolic rate (pRMR) in women with lipedema and to determine the association between individual body composition parameters, body mass index, and aRMR. Methods and Results: A total of 108 women diagnosed with lipedema were enrolled in the study. aRMR was obtained by indirect calorimetry (IC) using FitMate WM metabolic system (Cosmed, Rome, Italy). pRMR was estimated with predictive equations and bioelectric impedance analysis (BIA). All body composition parameters were based on BIA. The mean aRMR in the study group was 1705.2 ± 320.7 kcal/day. This study found the agreement of predictive equations compared to IC is low (<60%). Most methods of predicted RMR measurement used in our study significantly underpredicted aRMR in patients with lipedema. Therefore, the most applied equations remain useless in clinical practice in this specific population due to large individual differences among the studied women. Conclusions: IC is the best tool to evaluate RMR in evaluated patients with lipedema. It is necessary to propose a new equation to RMR determination in clinical practice.