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Otremba, JR, Heesch, AJ, Morgan, RM, Poolman, MA, Schindler, GD, and Fitzgerald, JS. Bioelectrical impedance spectroscopy measures of whole and segmental skeletal muscle quantity associated with strength and power in collegiate ice hockey players. J Strength Cond Res 39(2): 242–248, 2025—Bioelectrical impedance spectroscopy (BIS) is a promising monitoring tool for body water compartment assessment, particularly intracellular water (ICW), in which acute decreases are associated with increased muscle damage and reduced function, and chronic changes are associated with muscle quantity. Because little is known about the predictive utility of BIS-derived measures in athletes, this study aimed to assess the association between whole-body and segmental compartment water measured by BIS and maximal-intensity exercise performance in athletes. Twenty-five National Collegiate Athletic Association Division I collegiate hockey players completed 2 consecutive testing sessions. Body water and composition were assessed using a SOZO BIS device. Strength and explosive strength were measured on a force platform during the isometric belt squat and squat jump, respectively. Peak power was assessed using the 6-Second Test on a Wattbike. Pearson's r and partial correlation were used to assess relationships. Select body water and composition BIS variables were strong correlates of strength (r = 0.51–0.63, p < 0.05), moderate correlates of power (r = 0.41–0.44, p < 0.05), and lacked association with explosive strength. Segmental leg variables tended to be the strongest correlates of strength and power. Body water and traditional lean mass variables expressed similar predictive utility. Intracellular water/extracellular water lacked associated with exercise performance in bivariate and adjusted models. We provide evidence of the criterion validity of whole-body (i.e., ICW, fat-free mass, skeletal muscle mass [SMM]) and segmental (i.e., leg ICW, leg SMM) BIS variables, related to the quantity of SMM, to predict body-size dependent maximal-intensity exercise performance. Practitioners can use this information to determine which variables to track for performance readiness monitoring. [ABSTRACT FROM AUTHOR]

Background/Objectives: Anorexia nervosa (AN) is a severe psychiatric disorder characterized by profound nutritional deficits and significant alterations in body composition, cellular integrity, and hydration. Nutritional rehabilitation is critical not only for weight restoration but also for improving body composition and metabolic functions. However, optimal strategies for integrating caloric and protein intake to achieve balanced recovery remain underexplored. This study aims to evaluate the interactions between caloric/protein intake and time on quantitative (weight and BMI) and qualitative (body composition and cellular health) outcomes, and to identify markers that predict recovery trajectories and guide personalized nutritional interventions. Methods: This retrospective observational study analyzed 79 patients with AN admitted to Villa Miralago for six months of nutritional rehabilitation. Anthropometric and body composition parameters—including body weight (BW), body mass index (BMI), fat mass (FM), fat-free mass (FFM), body cell mass (BCM), phase angle (PA), and hydration markers (TBW and ECW)—were assessed at baseline (T0), 3 months (T1), and 6 months (T2). Generalized Estimating Equations (GEEs) were used to evaluate the effects of caloric and protein intake over time. Results: Significant increases in BW (+6.54 kg, p < 0.0001) and BMI (+2.47 kg/m2, p < 0.0001) were observed, alongside improvements in FM, FFM, and BCM. PA increased significantly (+0.47°, p < 0.0001), indicating enhanced cellular health. TBW increased (+1.58 L, p < 0.0001), while ECW% decreased, reflecting improved fluid distribution. Caloric intake predominantly influenced early fat mass recovery, while protein intake was crucial for preserving lean tissues and promoting cellular regeneration. Interaction effects between caloric/protein intake and time revealed dynamic changes in body composition, underscoring the need for adaptive strategies. Conclusions: This study highlights the importance of a dynamic, marker-based approach to nutritional rehabilitation in AN. Integrating caloric and protein intake with advanced body composition and hydration markers enables personalized interventions and balanced recovery, shifting AN treatment toward a focus on qualitative improvements overweight restoration alone. [ABSTRACT FROM AUTHOR]

Although the energy stored in the lean tissue (LT) and adipose tissue (AT) is well known, the energy required to synthesise these tissues is obscure. Theoretically, the energy at the point at which ΔLT/Δ body weight (BW) reaches 100 % on a regression line, which indicates the relationship between ΔLT/ΔBW and the energy required for BW gain, is considered to be the energy expended to synthesise LT. Therefore, we investigated this relationship in rats. Rats were fed diets with different ratios of protein, fat and carbohydrates because their ΔLT/ΔBW values were expected to be different. Six-week-old male Sprague-Dawley rats had ad libitum access to normal (N, n 6), high-fat (HF, n 7) or high-protein (HP, n 8) diets for 4 weeks. The ΔLT/ΔBW was 0·77 in the N, 0·70 in the HF and 0·87 in the HP groups, respectively. The average energy required to gain BW was 8·8 kJ/g in the N group, 7·0 kJ/g in the HF group and 11·3 kJ/g in the HP group. We observed a positive correlation between ΔLT/ΔBW and energy required for BW gain. The regression line demonstrated that the energy expended to synthesise LT was 13·9 kJ/g and AT was −7·9 kJ/g. Therefore, combined with the energy stored in LT, the energy required to accumulate LT is approximately 19 kJ/g, whereas the energy to accumulate AT could not be elucidated. [ABSTRACT FROM AUTHOR]

Background/Aim: To elucidate the relationship between metabolic syndrome (Mets) and somatic composition [fat mass, fat-free (FF) mass, and fat to fat-free (F-FF) ratio] among health checkup recipients (7,776 males and 10,121 females). Patients and Methods: We classified study subjects into four types considering Japanese criteria for Mets; Type A is for males with waist circumference (WC) <85 cm and females with WC <90 cm, Type B is for males with WC =85 cm and females with WC =90 cm, but without any metabolic abnormalities, Type C is for males with WC =85 cm and females with WC =90 cm and one metabolic disorder (pre-Mets), and Type D is Mets. We compared baseline characteristics among types of A, B, C, and D. Results: F index, FF index, and F-FF ratio showed an increasing trend with increasing risk factors for Mets in both sexes. Conclusion: This study demonstrates a clear correlation between somatic composition and the severity of metabolic syndrome (Mets). As Mets risk factors increase, fat mass, fat-free mass, and the fat-to-fat-free ratio also rise, indicating that body composition shifts with disease progression. These findings emphasize the need for early intervention, such as exercise and diet, to manage somatic composition imbalances and reduce complications like insulin resistance. [ABSTRACT FROM AUTHOR]

Background/Objective: Weight loss is associated with reductions in resting energy expenditure (REE), which are impacted by changes in body composition following sleeve gastrectomy (SG). Current data regarding changes in measured REE (mREE) and metabolic adaptation in adolescents after SG are limited. We evaluated changes in mREE, metabolic adaptation, and body composition in youths after SG vs. non-surgical (NS) controls over two years. Methods: Youths 14–22 years old undergoing SG (n = 24) and NS controls with severe obesity (n = 28) were recruited. mREE was determined using indirect calorimetry. Predicted REE (pREE) was calculated using regression equation derived from baseline data of our cohort and used to calculate pREE at follow up. Metabolic adaptation was calculated as mREE − pREE. We normalized REE to fat-free mass (FFM) and total body weight (TBW). Dual energy X-ray absorptiometry was used to measure body composition. Measurements were performed at baseline and two-years. Results: Baseline age, sex, and BMI were similar between groups. Greater decreases in BMI in SG vs. NS (−12.4 (−14.4, −9.8) vs. 2.2 (0.3, 3.5) kg/m2, p < 0.0001) and within-group decreases in mREE (401.0 ± 69.5 kcal/d; p < 0.0001) in SG were seen. mREE/FFM decreased within the SG group (p = 0.006), the two-year change in mREE/FFM and mREE/TBW did not differ between groups (p = 0.14 and 0.24). There was no metabolic adaptation within SG. Conclusions: Despite significant decreases in BMI after SG in youths, no metabolic adaptation was present at two years. This implies that by two years, metabolism has reached a steady state and weight changes after this should be addressed in an unbiased way. [ABSTRACT FROM AUTHOR]

Early childhood growth is associated with cognitive function. However, the independent associations of fat mass (FM) and fat-free mass (FFM) with cognitive function are not well understood. We investigated associations of FM and FFM at birth and 0–5 years accretion with cognitive function at 10 years. Healthy-term newborns were enrolled in this cohort. FM and FFM were measured at birth, 1·5, 2·5, 3·5, 4·5 and 6 months and 4 and 5 years. Cognitive function was assessed using the Peabody Picture Vocabulary Test (PPVT) at 10 years. FM and FFM accretions were computed using statistically independent conditional accretion from 0 to 3 months, 3 to 6 months, 6 months to 4 years and 4 to 5 years. Multiple linear regression was used to assess associations. At the 10-year follow-up, we assessed 318 children with a mean (sd) age of 9·8 (1·0) years. A 1 sd higher birth FFM was associated with a 0·14 sd (95 % CI 0·01, 0·28) higher PPVT at 10 years. FFM accretion from 0 to 3 and 3 to 6 months was associated with PPVT at 10 years: β = 0·5 sd (95 % CI 0·08, 0·93) and β = −0·48 sd (95 % CI −0·90, −0·07, respectively. FFM accretion after 6 months showed no association with PPVT. Neither FM at birth nor 0–5 years accretion showed an association with PPVT. Overall, birth FFM, but not FM, was associated with cognitive function at 10 years, while the association of FFM accretion and cognitive function varied across distinct developmental stages in infancy. The mechanisms underlying this varying association between body composition and cognitive function need further investigation. [ABSTRACT FROM AUTHOR]

Aim: To examine the relationship between changes in alanine aminotransferase (ALT) and those in body composition and metabolic factors in participants receiving medical health checkups (4350 men [mean age 52.5 years] and 5398 women [mean age 50.5 years]) Methods: We divided the participants into four types based on their ALT value at baseline and 1 year: A, ALT ≤30 (baseline) and ≤30 (1 year); B, ALT ≥31 (baseline) and ≤30 (1 year); C, ALT ≤30 (baseline) and ≥31 (1 year); and D, ALT ≥31 (baseline) and ≥31 (1 year). The change in each body composition‐related parameter (waist circumference, fat mass, fat‐free mass, fat mass to fat‐free mass ratio, etc.) after 1‐year was defined as Δ. Results: The mean changes in waist circumference (cm) in the four types (A, B, C, and D) were −0.33, −1.54, 0.66, and −0.29 (overall p < 0.0001) in men, and −0.19, −0.90, 0.30, and 0.090 (overall p < 0.0001) in women. The mean changes in fat mass (kg) in the four types were −0.027, −0.86, 0.62, and 0.092 (overall p < 0.0001) in men, and 0.0067, −0.48, 0.39, and 0.063 (overall p < 0.0001) in women. The mean changes in fat‐free mass (kg) in the four types were −0.028, −0.55, 0.42, and −0.034 (overall p < 0.0001) in men, and −0.0091, −0.34, 0.12, and −0.045 (overall p = 0.0012) in women. The mean changes in fat mass to fat‐free mass ratio in the four types were −0.00042, −0.0120, 0.00837, and 0.00171 (overall p < 0.0001) in men, and −0.00013, −0.00817, 0.00730, and 0.00628 (overall p < 0.0001) in women. Conclusion: A decrease in ALT to ≤30 IU/L may be associated with improved body composition balance, but caution should be exercised for the decrease in muscle mass. [ABSTRACT FROM AUTHOR]

Preterm small for gestational age (SGA) children are at increased risk for low bone mineral content later in life; however, data on SGA children born at term are scarce. We included 44 SGA and 57 adequate for gestational age (AGA) children aged 6 to 11 years to compare bone mineral density (BMD) and bone mineral content (BMC) and to identify which anthropometric and biochemical values influence bone mineralization in these children. Fat mass, appendicular skeletal muscle mass index (ASMMI), BMC, and BMD were significantly lower in SGA children than in AGA (P ≤.005). Appendicular muscle mass index correlated with BMC(TBLH,FN,L1-L4) and BMD(TBLH,FN,L1-L4) in both groups (r2 = 0.7, P <.05). In multivariate analysis, ASMMI was strongly associated with BMC and BMD in both groups. There were no differences in clinical biomarkers, calcium intake, and physical activity between the groups. Achieving adequate muscle mass contributes to adequate bone mineralization and a lower risk for low BMC and BMD in SGA children. [ABSTRACT FROM AUTHOR]

Anorexia nervosa is classified by the American Psychological Association as an eating-related mental disorder, which affects mostly young adult women and adolescent girls. Although refeeding programs are often used to recover bodyweight in patients with anorexia nervosa, treatment failures are high, and the determinants of the disorder remain unknown. The present paper uses a nutritional epidemiology perspective to examine determinants of anorexia nervosa from the patients' point of view. A grounded-theory literature-review method was used to search and review research findings from the peer-reviewed literature related to the etiology of anorexia nervosa, including recent qualitative interviews with patients. Unlike a systematic review, a grounded theory method is more appropriate for developing a new theory to explain phenomena like the cause, recovery, and prevention of anorexia nervosa. Reviewed research suggests that anorexia nervosa may be a problematic body-change strategy rather than a mental disorder. Additionally, the present paper proposes that replacing the drive for thinness in anorexia nervosa with a drive for leanness may help patient recovery, especially when guided by easily accessible body-composition estimates. Fat-free mass restoration in the recovery of anorexia nervosa may also be facilitated by resistance training, which improves patients' psychological status and body composition. Additionally, replacing a dysfunctional dieting strategy in anorexia nervosa with knowledge, skills, and experience in proper weight management has a potential preventive effect against the disorder. More research is needed to investigate the applied effects of the drive for leanness, body-composition assessments, resistance-training programs, and weight-management skills associated with the recovery and prevention of anorexia nervosa. Furthermore, successful application of the information in this paper may be adapted to peer role model programs to prevent anorexia nervosa. [ABSTRACT FROM AUTHOR]

Background. In competitive sports, especially basketball, physical attributes such as agility, speed, strength, and power are crucial for performance. Objectives. This study aimed to examine the correlation between fat-free mass (FFM), countermovement jump (CMJ) power, and maximum hamstring force in female basketball athletes, providing insights that could enhance performance and reduce injury risk. Materials and methods. This observational cross-sectional study investigates the relationship between fat-free mass (FFM), power, and maximum hamstring force in 45 female basketball athletes. The Anderson-Darling test for assessing normality and Spearman's correlation for non-normally distributed data were used to conduct the study. Results. Significant correlations were found between FFM and maximum hamstring force in the both right (r = 0.585, p < 0.001) and left legs (r = 0.522, p < 0.001), as well as between (CMJ) power and maximum hamstring force for both legs (right: r = 0.467, p = 0.001; left: r = 0.434, p = 0.003). Additionally, power was significantly correlated with jump height (r = 0.604, p < 0.001). Conclusions. These findings suggest that FFM and power are critical determinants of hamstring strength and explosive performance in female basketball athletes. [ABSTRACT FROM AUTHOR]

This research re-evaluates the prevalence of obesity in a cohort of 432 Slovenian adults two years after an initial population-based cross-sectional examination, utilizing the World Health Organization's body mass index (BMI) and total body fat percentage (FAT%) classifications. Herein, a medically approved electrical bioimpedance monitor was used to analyse body composition, and the results revealed a significant increase in the percentage of individuals classified as having overweight or obesity on the basis of BMI, from 40.7% initially to 45.2% at follow-up (FU); however, these percentages were notably higher in males than in females. The increases in body mass, BMI, fat mass, and FAT% were observed mainly in adult females, whereas in adult males, the increases in BM and BMI were attributed to fat-free mass (FFM) rather than fat mass. In this study, BMI was also compared with the FAT% obesity classification, and the BMI classification was shown to result in significantly fewer participants with obesity in both measures. However, the proportion of participants with obesity based on the two classifications did not differ substantially between the initial and FU measurements. In this study, mixed linear models were used to analyse overall trends and subgroup variations and highlight the importance of considering sex, age, and time of measurement when assessing body composition metrics. These findings emphasize the need for personalized health assessments and the importance of measuring body composition to evaluate adult obesity more accurately for both clinical assessments and public health policies. The state, in collaboration with social initiatives and industrial stakeholders, should prioritize these data and advance public health through innovative educational and awareness initiatives that are founded on robust scientific principles and that empower and promote the adoption of a healthy, active lifestyle. [ABSTRACT FROM AUTHOR]

Background. In competitive sports, especially basketball, physical attributes such as agility, speed, strength, and power are crucial for performance. Objectives. This study aimed to examine the correlation between fat-free mass (FFM), countermovement jump (CMJ) power, and maximum hamstring force in female basketball athletes, providing insights that could enhance performance and reduce injury risk. Materials and methods. This observational cross-sectional study investigates the relationship between fat-free mass (FFM), power, and maximum hamstring force in 45 female basketball athletes. The Anderson-Darling test for assessing normality and Spearman’s correlation for non-normally distributed data were used to conduct the study. Results. Significant correlations were found between FFM and maximum hamstring force in the both right (r = 0.585, p < 0.001) and left legs (r = 0.522, p < 0.001), as well as between (CMJ) power and maximum hamstring force for both legs (right: r = 0.467, p = 0.001; left: r = 0.434, p = 0.003). Additionally, power was significantly correlated with jump height (r = 0.604, p < 0.001). Conclusions. These findings suggest that FFM and power are critical determinants of hamstring strength and explosive performance in female basketball athletes.

Abstract Background Muscle strength and balance abilities have been related to game performance injury prevention. This study aimed to (1) assess knee muscle strength performance based on intra- and inter-limb asymmetries, (2) investigate the relationships between knee muscle strength, body composition, and balance, and (3) analyze the variance in the overall stability index (OSI) explained by knee muscle strength indicators after controlling for age and body composition. Methods The sample included 104 young male soccer players (16.0 ± 1.6 years). Body composition, knee muscle strength, and balance ability were assessed. A paired samples t-test was used to examine differences between the preferred leg (PL) and the non-preferred leg (NPL). Pearson correlations and hierarchical multiple regression were conducted to explore the relationships between strength, body composition, and balance. Results No significant inter-limb asymmetries were detected for the knee flexors (KF) and knee extensors (KE) performance. The hamstrings-to-quadriceps ratio does not suggest the existence of intra-limb asymmetries (p = 0.06). Significant and negative correlations were found between KF (r = -0.38, p ≤ 0.01) and KE (r = -0.58, p ≤ 0.01) for the PL. Concerning the NPL, KE also revealed a significant and negative relationship with balance (r = -0.30, p ≤ 0.01). Significant and positive relationships were found between bodyweight, fat-free mass, and balance. After controlling for age and body composition, knee muscle strength could explain between 13% and 30% of the variance observed in the OSI (NPL and PL, respectively). Conclusions The results underline knee muscle strength as an important predictor of balance. Thus, training programs targeting knee muscle strength development should be considered during the season periodization by coaches and their staff throughout the players’ developmental stages.

Background/Objectives: Sarcopenia involves the loss of muscle mass along with a decrease in muscle strength and physical performance. The aim of this paper was to compare the already published BIA equations for the estimation of Appendicular Skeletal Muscle Mass (ASMM) and Fat-Free Mass (FFM) with dual X-ray densitometer DXA estimations in order to determine whether Bioelectrical Impedance Analysis (BIA) could be a feasible application on a general population for the detection of low muscle mass and sarcopenia. Methods: Seventy-nine healthy women aged 40–70 years were included. Assessments involved BIA and DXA evaluations and anthropometric measurements. Results: DXA and BIA estimations showed great agreement, particularly the ones introduced by Scafoglieri et al. (2017) for ASMM (mean difference 1.81 kg) and Kanellakis et al. (2020) equation for FFM (mean difference 0.52 kg) resulted in the best fit for the cohort in analysis. BIA could intercept a low muscle mass condition which can be linked to sarcopenia. Conclusions: This study showed how the use of BIA represents an effective and reliable method in the evaluation of sarcopenia. [ABSTRACT FROM AUTHOR]

Background and aims: We aimed to clarify the relationship between alanine aminotransferase (ALT) level and body composition in Japanese medical health checkups, especially in cases with ALT ≤ 30 IU/L (7569 men and 9497 women). Methods: We categorized our study cohort into four groups: type A (ALT value ≤ 10 IU/L), type B (11 ≤ ALT value ≤ 20 IU/L), type C (21 ≤ ALT value ≤ 30 IU/L) and type D (ALT value > 30 IU/L (ALT over 30)). We retrospectively compared body composition-related parameters (body mass index (BMI), waist circumference (WC), fat (F) index, fatty liver index (FLI), fat-free (FF) index and F-FF ratio) among the four types. Results: Type A/B/C/D in men and women was found in 262/3279/2107/1921 and 1549/5736/1495/717 (p < 0.0001). BMI, WC, F-index, FLI, FF index and F-FF ratio were all significantly stratified among the four types, regardless of whether they were male or female and over or under 50 years old. Conclusions: With a decrease in ALT level in medical health checkups, fat mass decreases, and F-FF ratio decreases, but a decrease in skeletal muscle mass cannot be overlooked. [ABSTRACT FROM AUTHOR]

Aim: To measure the effectiveness and sustainability of the Juniper UK digital weight‐loss service (DWLS), which delivers 6 months of personalized, proactive lifestyle coaching supplemented with tirzepatide to patients through a multidisciplinary team (MDT). Methods: An observer‐blinded randomized controlled trial (RCT) will be conducted on a cohort of non‐diabetic patients of the Juniper DWLS in the UK. Participants in both the intervention and control groups will receive weekly subcutaneous injections of 2.5 mg tirzepatide for 4 weeks, uptitrating the dose to 5.0 mg from weeks 5 to 8, and by 2.5 mg every 4 weeks until reaching 15 mg in week 21, which they will maintain until the end of the intervention period at 6 months, when participants will be taken off the medication. The intervention group will receive personalized weeklylifestyle coaching with a focus on protein intake and resistance training for 6 months. Participants in the control group will attend a diet and exercise group counselling session at programme inception and will be sent a summary of the session's content at months 2 and 4. Aside from these events, health coaches will only interact with control group participants on a reactive basis. From month 6 to month 12, participants from both groups will no longer have access to their MDTs. The trial's co‐primary endpoints include weight loss, fat‐free to fat‐mass ratio and composite strength measures at 12 months (6 months following the end of treatment), compared with baseline. Secondary endpoints include percentage change in weight, fat‐free to fat‐mass ratio, and composite strength from baseline to 6 months, side effect incidence, and change in cardiometabolic risk factors at 12 months. Quality of life and programme engagement represent the study's exploratory endpoints. Results: A total of 688 participants enrolled in the study, with a mean age of 44.6 (± 11.4) years and a mean body mass index of 34.8 (± 7.5) kg/m2; 81.0% of participants are women, and 72.8% are of White ethnicity. More than three‐quarters of participants have at least one co‐morbidity, with dyslipidaemia (42.4%), hypertension (35.3%) and high cholesterol (31.8%) being the most prevalent conditions. Conclusions: This RCT will be the first to assess the effectiveness and sustainability of a real‐world intensive, multidisciplinary DWLS, and it should highlight the potential of such a service for long‐term obesity treatment compared with programmes that deliver standard health counselling. [ABSTRACT FROM AUTHOR]

Background: Preeclampsia is associated with intrauterine growth restriction (IUGR), which can lead to impaired postnatal growth and neurodevelopment in preterm infants. Preeclampsia can also occur without IUGR and its impact on postnatal nutrition, growth, and body composition remains not fully investigated to the best of our knowledge. Methods: This study included infants born before 37 weeks of gestation who underwent air displacement plethysmography to measure body composition (fat-free mass [FFM] and fat mass [FM]) at term-equivalent age. We compared infants born to mothers with preeclampsia and IUGR (PE-IUGR group) and preeclampsia without IUGR (PE-non-IUGR group) to those born to mothers without preeclampsia (control group). Results: In total, 291 infants were enrolled (control: n = 227; PE-non-IUGR: n = 43; PE-IUGR: n = 21). FFM was significantly lower in the PE-IUGR (mean differences −231 g (IQR: (−373, −88); p < 0.001)) and PE-non-IUGR groups (mean differences −260 g (IQR: (−372, −149); p < 0.001)) in comparison to the control group. FM was not significantly different between the three groups. Conclusions: This study indicates that infants of preeclamptic mothers, even without IUGR, had significantly lower FFM at term-equivalent age compared to the control group. Further research is necessary to determine if these variations can be modified. [ABSTRACT FROM AUTHOR]

Background: The changes in body composition during puberty not only contribute to the differences in body composition between adult males and females but also have associations with growth problems and metabolic disorders, including obesity. Therefore, understanding the changes in body composition during the pubertal period and analyzing reference values based on race and gender are essential research resources. The objective of this study was to generate reference centiles for body composition on a monthly basis using an extensive dataset of body composition information from Korean children and adolescents. Methods: A total of 88,069 measurements from 22,515 children (11,062 boys and 11,453 girls) aged 7–16 years using a bioelectrical impedance analysis were included in the study after performing a Z-score-based data management procedure. Height, weight, body fat mass (BFM), and fat-free mass (FFM) were measured and used to derive body fat percentage (BF%), body mass index (BMI), fat mass index (FMI), and fat-free mass index (FFMI). Sex- and age-specific centiles were estimated using generalized additive models for location, scale, and shape with the Box-Cox Cole and Green distribution (i.e., lambda-mu-sigma method). Results: The sex- and age-related disparities in body composition were most pronounced when weight was partitioned into BFM and FFM. In boys, the FFM increased markedly during pubertal growth spurts, whereas BFM remained relatively stable. In girls, the BFM increased steadily, whereas the rate of FFM increased slowly. The BMI increased steadily with age in both sexes. However, when BMI was parsed into FMI and FFMI, it became clear that the FFMI increased substantially during pubertal growth in boys, whereas the FMI peaked around age 11 and then declined. Conversely, the FMI increased steadily in girls, albeit with a slowing rate in the increase of the FFMI beginning around age 12. Conclusions: This study produced age- and sex-specific reference percentiles for body composition indices in Korean children and adolescents using extensive biometric data. [ABSTRACT FROM AUTHOR]

Reference equations for fat-free mass (FFM) and lean soft tissue mass (LM) measures obtained from dual-energy X-ray absorptiometry (DEXA) are important for the interpretation of body composition. This study developed and validated reference equations for FFM and LM using DEXA from the Canadian Longitudinal Study on Aging. Reference equations were developed using data from a random population-based sample of ostensibly healthy and functionally independent adults aged 45–85 years. Reference equations for absolute (accounting for age, sex, height, and body mass) and height-adjusted aka index (accounting for age, sex, and body mass index) measures of FFM and LM were developed using quantile regression. Reference equations were respectively developed and validated in derivation (80%) and validation cohorts (20%). Reference equations were applied to symptomatic adults with self-reported chronic obstructive pulmonary disease (COPD) or heart disease to assess discriminant validity; and compared with other published equations to assess performance. Bland-Altman analyses and Lin's concordance correlation coefficients were utilised to assess agreement. Reference equations for 5th, 10th, 50th, 90th, and 95th percentiles were developed for DEXA-derived estimates of FFM and LM based on 1881 healthy participants (57% male) aged 55 [IQR: 50–61] years. Reference equations performed comparably in the validation cohort and discriminated reference values between ostensibly healthy adults and people with symptomatic COPD or heart disease. Previously published reference equations tended to over- or under-predict estimates of LM compared with the current reference equations. This study provides a comprehensive and validated set of reference equations for estimating and interpreting FFM and LM from DEXA in Canadian adults aged 45–85 years, although additional validation may be required for those >75 years. [ABSTRACT FROM AUTHOR]

Background: Muscle strength and balance abilities have been related to game performance injury prevention. This study aimed to (1) assess knee muscle strength performance based on intra- and inter-limb asymmetries, (2) investigate the relationships between knee muscle strength, body composition, and balance, and (3) analyze the variance in the overall stability index (OSI) explained by knee muscle strength indicators after controlling for age and body composition. Methods: The sample included 104 young male soccer players (16.0 ± 1.6 years). Body composition, knee muscle strength, and balance ability were assessed. A paired samples t-test was used to examine differences between the preferred leg (PL) and the non-preferred leg (NPL). Pearson correlations and hierarchical multiple regression were conducted to explore the relationships between strength, body composition, and balance. Results: No significant inter-limb asymmetries were detected for the knee flexors (KF) and knee extensors (KE) performance. The hamstrings-to-quadriceps ratio does not suggest the existence of intra-limb asymmetries (p = 0.06). Significant and negative correlations were found between KF (r = -0.38, p ≤ 0.01) and KE (r = -0.58, p ≤ 0.01) for the PL. Concerning the NPL, KE also revealed a significant and negative relationship with balance (r = -0.30, p ≤ 0.01). Significant and positive relationships were found between bodyweight, fat-free mass, and balance. After controlling for age and body composition, knee muscle strength could explain between 13% and 30% of the variance observed in the OSI (NPL and PL, respectively). Conclusions: The results underline knee muscle strength as an important predictor of balance. Thus, training programs targeting knee muscle strength development should be considered during the season periodization by coaches and their staff throughout the players' developmental stages. [ABSTRACT FROM AUTHOR]

Recent concerns have been raised regarding the ethical considerations of conducting body composition assessments in sports. Specific apprehensions pertain to the inappropriate use of percent body fat and the limited application of the results to performance and recovery. Fat-free mass index (FFMI), a height-adjusted assessment of FFM, can serve as an alternative body composition metric to focus on in sports. Fat-free mass index provides valuable context regarding an optimal amount of FFM, accounting for skeletal frame and height while helping to qualify an athlete's FFM as low, moderate, or high. This review posits that shifting the focus of body composition measures to FFM can support more ideal targets across athletic seasons, careers, and the return to play after injury. In addition, a FFM focus may help change the perception of body composition assessment and how athletes perceive their current body because of the increased focus on the FFM compartment and the goal of maximizing tissue accrual, rather than focusing on fat loss. Fat-free mass index is calculated by dividing FFM (kg) by height (m²) and can serve to normalize FFM, relative to height, and enable comparisons across athletes, sport types, and sex. Previous research has identified differences in FFMI across sex and among sport categories. Still, there is a need for more published data to develop optimal ranges for FFMI across sex, sports, and positions. As more data become available, FFMI has the potential to provide normative guidelines for optimal FFM development, performance, and injury risk reduction. The purpose of the current review was to summarize FFMI values across collegiate sport categories and competitive status to provide normative profiles, according to sex and sport type. [ABSTRACT FROM AUTHOR]

Purpose: Currently, body weight-based dosing of rifampicin is recommended. But lately, fat-free mass (FFM) was reported to be superior to body weight (BW). The present evaluation aimed to assess the influence of body mass-related covariates on rifampicin's pharmacokinetics (PK) parameters in more detail using non-linear mixed effects modeling (NLMEM). Methods: Twenty-four healthy Caucasian volunteers were enrolled in a bioequivalence study, each receiving a test and a reference tablet of 600 mg of rifampicin separated by a wash-out period of at least 9 days. Monolix version 2023R1 was used for NLMEM. Monte Carlo simulations (MCS) were performed to visualize the relationship of body size descriptors to the exposure to rifampicin. Results: A one-compartment model with nonlinear (Michaelis–Menten) elimination and zero-order absorption kinetics with a lag time best described the data. The covariate model including fat-free mass (FFM) on volume of distribution (V/F) and on maximum elimination rate (Vmax/F) lowered the objective function value (OFV) by 56.4. The second-best covariate model of sex on V/F and Vmax/F and BW on V/F reduced the OFV by 51.2. The decrease in unexplained inter-individual variability on Vmax/F in both covariate models was similar. For a given dose, MCS showed lower exposure to rifampicin with higher FFM and accordingly in males compared to females with the same BW and body height. Conclusion: Our results indicate that beyond BW, body composition as reflected by FFM could also be relevant for optimized dosing of rifampicin. This assumption needs to be studied further in patients treated with rifampicin. [ABSTRACT FROM AUTHOR]

Introduction Military fighter aircrew report high rates of cervical pain and injury. There is currently no consensus regarding the best training methods for this population. Eglin Air Force Base (AFB) and Luke AFB have multidisciplinary teams specializing in aircrew training, performance, and injury mitigation. All student pilots (SPs) completing Basic Course training at these locations engage in an 8-week Spine Training Program (STP). The STP originated at Luke AFB in 2020 and was expanded to Eglin AFB in 2022. The primary aim of this study was to assess whether the STP led to significant changes in the performance measure studied, Cervical Endurance Hold (CEH). Further, this study aimed to determine if the CEH training effect was independent of location of STP administration. We hypothesized that SPs would exhibit statistically significant CEH training adaptations irrespective of base location. Materials and Methods Air Force F-16 and F-35 SPs from Luke AFB and Eglin AFB were actively enrolled in the Basic Course and participated in the standardized STP from 2020 to 2023. The CEH test was administered prior to (intake) and following (exit) the 8-week STP. SPSS for Windows version 29 software (IBM, Armonk, NY) was used to retrospectively analyze the data from this study. Participants were excluded if they were unable to perform the CEH test at intake or exit. The study was approved by the Air Force Research Laboratory Institutional Review Board and was performed in accordance with the ethical standards of the Declaration of Helsinki. Results One hundred and ninety-eight SPs (Luke AFB, males n  = 170, females n  = 12; Eglin AFB, males n  = 16) completed the STP program. There was no significant difference between intake and exit concerning age, height, weight, % body fat, and fat-free mass at Luke AFB or Eglin AFB (P  < 0.05). Statistically significant improvements in CEH were observed within all groups from intake to exit (P  < 0.001). When considering all participants collectively, there was a notable 33.6% increase in CEH from intake to exit (P  < 0.001) with an overall effect size of d  = 1.14. When analyzing specific subgroups, females from Luke AFB experienced a significant 20.4% increase in CEH (P  < 0.001, d  = 1.14), males from Luke AFB exhibited a significant 34.5% increase (P  < 0.001, d  = 1.09), and males from Eglin AFB demonstrated a significant increase of 55.7% in CEH (P  < 0.001, d  = 1.97). Conclusions This retrospective analysis showed significant improvements in the CEH across all groups following the completion of the STP. Furthermore, CEH results from both bases exhibited a large effect size indicating a meaningful change was found between intake and exit regardless of training location. These preliminary study results should be interpreted with caution as a control group was unable to be established. In the future, a randomized control trial should be performed to test the STP used in this study against other STP programs. This may better inform experts on the best spine training methods for fighter aircrew. [ABSTRACT FROM AUTHOR]

This study aims to develop and evaluate a Multi-Frequency Bioelectrical Impedance Analysis (MFBIA) system for estimating body composition, specifically Fat-Free Mass (FFM) and Body Fat Percentage (BF%). The primary objective was to assess the accuracy and reliability of the MFBIA system by comparing its measurements with those obtained from a commercially validated Smart Body Fat analyzer and traditional anthropometric methods. The research involved regression analysis to examine the correlation between FFM and BF% measurements from MFBIA and anthropometric data, including height and weight. Additionally, impedance measurements were taken at multiple frequencies (25 kHz, 50 kHz, and 100 kHz) to determine the system's ability to estimate body composition parameters across various conditions. The results showed a strong correlation between the FFM and BF% values ​​derived from MFBIA and those obtained using the Smart Body Fat analyzer. The regression analysis indicated high linearity, with R² values ​​ranging from 0.9439 to 0.9692, signifying the robustness of the system in predicting body composition. Furthermore, the MFBIA system demonstrated a high degree of consistency and accuracy in measuring FFM and BF%, with minimal deviations from the reference device. This research presents a multi-frequency BIA device designed specifically to measure fat-free mass (FFM), an important indicator for assessing the nutritional status of children. The results of this research offer a practical, affordable, and non-invasive tool for healthcare providers to assess body composition in children. The MFBIA system has the ability to track nutritional status, supporting targeted interventions to promote child health and prevent stunting.

Maria Minter,1,2 Jenny van Odijk,1 Hanna Augustin,1 Felipe VC Machado,3,4 Frits ME Franssen,5,6 Martijn A Spruit,5,6 Lowie EGW Vanfleteren1,5 1Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 405 30, Sweden; 2Department of Lung Medicine, Angered Hospital, SV Hospital Group, Angered, 424 22, Sweden; 3Rehabilitation Research Center (REVAL), Faculty of Rehabilitation Sciences, Hasselt University, Diepenbeek, Belgium; 4Biomedical Research Institute (BIOMED), Faculty of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium; 5Department of Research and Development, Ciro, Horn, the Netherlands; Department of Respiratory Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands; 6Department of Respiratory Medicine, School of Nutrition and Translational Research in Metabolism (NUTRIM), Faculty of Health, Medicine, and Life Sciences, Maastricht University Medical Centre+, Maastricht, the NetherlandsCorrespondence: Maria Minter, Department of Lung Medicine, Angered Hospital, SV Hospital Group, Angered, 424 22, Sweden, Email maria.minter@gu.seBackground: Alterations in body weight and composition are common in patients with chronic obstructive pulmonary disease (COPD) and are independent predictors for morbidity and mortality. Low vitamin D status is also more prevalent in patients with COPD compared to controls and has been related to lower lung function, muscle atrophy and impaired musculoskeletal function. This study aimed to evaluate the association between vitamin D levels and status with body composition (BC), as well as with its changes over time.Patients and Methods: Patients with COPD and controls without COPD, participating in the Individualized COPD Evaluation in relation to Ageing (ICE‐Age) study, a prospective observational study, were included. Plasma 25-hydroxyvitamin D (25(OH)D) was measured at baseline and BC was measured by dual‐energy X‐ray absorptiometry scan, at baseline and after two years of follow-up. Multiple linear regression analyses were performed to assess the relationships between 25(OH)D (nmol/l) and longitudinal changes in BMI, fat-free mass index (FFMI), fat mas index (FMI) and bone mineral density (BMD).Results: A total of 192 patients with COPD (57% males, mean ± SD age, 62 ± 7, FEV1, 49 ± 16% predicted) and 199 controls (45% males, mean ± SD age 61 ± 7) were included in this study. Vitamin D levels were significantly lower in patients with COPD (64 ± 26 nmol/L, 95% CI 60– 68 nmol/L versus 75 ± 25 nmol/L, 95% CI 72– 79 nmol/L) compared to controls. Both patients and controls presented a significant decline in FFMI and T-score hip, but vitamin D level or status did not determine differences in BC or changes in BC over time in either COPD or controls.Conclusion: Vitamin D status was not associated with BC or longitudinal changes in BC. However, vitamin D insufficiency and low BMD were more prevalent in patients with COPD compared to controls.Keywords: chronic obstructive pulmonary disease, body composition, vitamin D, longitudinal changes, fat-free mass, bone mineral density

To cross-validate bioelectrical impedance devices for the determination of body fat percentage (BF%) in firefighters. Twenty-eight structural firefighters were evaluated (female, n = 2; male, n = 26 [mean ± SD] age: 38.2 ± 8.3 years; height: 180.2 ± 7.5 cm; body mass: 86.7 ± 20.8 kg; body mass index: 25.8 ± 7.8 kg⋅m-2) using multifrequency bioelectrical impedance analysis (MFBIA) hand-to-foot device, and single- frequency BIA foot scale (F2FBIA), and a single-frequency handheld BIA device (HHBIA). Dual X-ray absorptiometry served as the criterion. Validity metrics were examined to establish each method's performance. Body fat % values produced by MFBIA (r = 0.913), F2FBIA (r = 0.695), and HHBIA (r = 0.876) were strongly associated (p < 0.001) with criterion BF% measures. However, MFBIA, F2FBIA, and HHBIA all significantly (p < 0.001) underestimated BF% when compared with the criterion measure. Constant error ranged between 4.0 and 5.5% across all BIA devices. Despite strong associations between the BIA devices included in the current study and the criterion measure, all BIA devices underestimated BF%, which resulted in an overestimation of fat-free mass. In addition, proportional bias was observed in which BF% was overestimated at lower values and underestimated at higher values. [ABSTRACT FROM AUTHOR]

Sleeve gastrectomy typically leads to weight loss, including a reduction in fat-free mass (FFM). Studies have shown significant FFM loss within 1 year after the procedure but with individual variations. This study aimed to assess whether preoperative amino acid metabolite levels can predict FFM changes following sleeve gastrectomy. This study involved 42 patients. Body weight, fat mass (FM), and FFM were measured preoperatively and 3, 6, and 12 months postoperatively. All participants experienced weight loss, FM reduction, and FFM decrease for up to 3 months after surgery. However, the following distinct groups emerged from 3 to 6 months postoperatively: one showed FFM gain relative to weight loss, whereas the other exhibited continued FFM reduction relative to weight loss. This trend persisted for up to 12 months postoperatively and became more pronounced. The group with FFM gain had lower preoperative BMI and higher levels of indole-3-pyruvic acid (IPyA). Logistic regression and ROC curve analyses confirmed IPyA's ability to predict FFM gain between 3 and 6 months after sleeve gastrectomy, with a useful cutoff value of 20.205. Preoperative IPyA levels were associated with FFM gain relative to weight loss in the 3 to 6 months following sleeve gastrectomy. These findings suggest that IPyA may be a potential predictor for FFM changes during this period. [ABSTRACT FROM AUTHOR]

Introduction: Our purpose was to study the body composition in a healthy female Moroccan adult group, and to help physicians to evaluate nutritional status. Materials and Methods: Five hundred and nineteen healthy women aged from 20 to 80 years were included in the study. Bone mineral density at the hip and lumbar spine and the body composition parameters were measured by dual-energy X-ray absorptiometry: fat mass (FM), fat-free mass (FFM), and percentage (%) of body fat. The FFM index (FFMI) and the FM index (FMI) were calculated. We analyzed the population by age and body mass index (BMI) defined groups. Results: The mean age of the population was 53.14 ± 13.69 years with an average BMI of 29.30 ± 5.04 kg/m2. Means of FM and FFM were 33.93 ± 9.18 kg and 36.91 ± 5 kg, respectively, with FM and FFMI of 13.65 ± 3.66 kg/m2 and 14.85 ± 1.91 kg/m2, respectively. The % FM, FFM, and their corresponding indices increased with age; a statistically significant difference was observed between the 20 and 39 age categories and the two other categories. The BMI category analysis showed that FFMI and FMI increased in obese women with a statistically significant difference between the four groups. Age and BMI were correlated significantly with the different parameters. Conclusion: This is the first Moroccan study to present body composition indexes in healthy Moroccan female adults. These reference values may be useful for the clinical evaluation of body composition and nutritional status. [ABSTRACT FROM AUTHOR]

Acute malnutrition affects not only the growth and development but also the body composition of children. However, its specific effects have not yet been characterized. This study aims to compare the body composition of 5–7‐year‐old children with moderate acute malnutrition (MAM) to that of their well‐nourished (WN) peers and identify associated factors. A school‐based comparative cross‐sectional study was conducted from June to July 2022 in Jimma town, southwest Ethiopia. The study participants were selected from eight kindergartens and eight primary schools using a simple random sampling technique based on the proportional allocation of the sample to the size of the population in the respective school. Descriptive statistics and multivariable linear regression analyses were used to assess the mean differences and associations between variables and isolate independent predictors of body composition, respectively. The statistical significance was determined using ß‐coefficients with 95% confidence intervals and a p value of ≤ 0.05. Data were captured from 388 (194 MAM and 194 WN) children with a response rate of 97.9%. The mean fat‐free mass of WN children was significantly higher compared with those with MAM (p < 0.001). The mean (SD) of fat mass of MAM children was 4.23 ± 0.72 kg, 4.36 ± 0.88 kg and 4.08 ± 0.89 kg for 5, 6 and 7‐year‐olds, respectively. For WN children, the mean (SD) of fat mass was 4.92 ± 0.88 kg for 5 years old, 5.64 ± 1.01 kg for 6 years old and 5.75 ± 1.26 kg for 7 years old (p < 0.001). On the multivariable linear regression analysis after controlling for background variables, WN children exhibited 1.51 times higher fat‐free mass compared with MAM children (β = 1.51, p = 0.003). A unit increase in age of the study participants was associated with a 1.37 increment in fat‐free mass (β = 1.37, p < 0.001). WN children had 1.07 times higher fat mass compared with children with MAM (β = 1.07, p < 0.001). A unit increase in the age of the child resulted in 0.15 times increment in fat mass (β = 0.15, p = 0.020), and being female was associated with a 0.37 increase in fat mass (β = 0.37, p < 0.001). The results showed that the mean fat mass and fat‐free mass were significantly lower among moderately acute malnourished children than in WN children showing the loss of both body compartments due to malnutrition. The body mass index for age, age of the child and sex of the child were significantly linked to both fat‐free mass and fat mass. Key messages: This study demonstrated that children aged 5–7 years suffering from moderate acute malnutrition (MAM) have lower mean body fat mass (FM) and fat‐free mass (FFM) as compared with well‐nourished (WN) children.The substantial difference observed between MAM and WN children in body FM and FFM calls for the integration of MAM treatment into the routine health services to prevent their sliding down to SAM and associated mortality. [ABSTRACT FROM AUTHOR]

Background/Aim: To examine the relationship between the body surface area (BSA) and body composition in patients with metabolic dysfunction-associated steatotic liver disease (MASLD, 2,141 men and 986 women). Materials and Methods: BSA and body composition parameters were examined. Results: The median body mass index (BMI) was 25.0 kg/m² for both men and women (p=0.7754). The median body surface area (BSA) was 1.854 m² for men and 1.618 m² for women (p<0.0001). In men, the median fat mass was 17.7 kg, whereas in women, it was 22.1 kg (p<0.0001). Additionally, the median fat-free mass was 55.4 kg in men and 39.3 kg in women (p<0.0001).). In male cases, BSA significantly correlated with fat mass (r=0.82, p<0.0001) and fat-free mass (r=0.95, p<0.0001). In female cases, BSA significantly correlated with fat mass (r=0.87, p<0.0001) and fat-free mass (r=0.94, p<0.0001). Conclusion: BSA could be a useful marker for the estimation of body composition in patients with MASLD. [ABSTRACT FROM AUTHOR]

Background: Testing and evaluating athletes is necessary and should include performance, body composition, and nutrition. The purpose of this study was to report assessments of dietary intake, V ˙ O2max, and body composition in D1 collegiate athletes and examine relationships between these assessments. Methods: Dietary intake was assessed with 3-day recalls and compared to recommendations, and body composition was assessed via bioelectrical impedance analysis (BIA) (n = 48). V ˙ O2max was evaluated using a graded exercise test (GXT) with a verification bout (n = 35). Reliability between "true" V ˙ O2max and verification was determined. Correlations and regressions were performed. Results: Energy, carbohydrate, and micronutrient intake was lower than recommendations. Mean V ˙ O2max was 47.3 and 47.4 mL·kg−1·min−1 for GXT and verification, respectively. While correlations were apparent among dietary intake, V ˙ O2max, and body composition, percent fat-free mass (%FFM) predicted 36% of V ˙ O2max. Conclusions: Collegiate athletes are not meeting energy and carbohydrate recommendations and exceed fat recommendations. Vitamin D and magnesium were low in all sports, and iron and calcium were low in females. V ˙ O2max ranged from 35.6 to 63.0 mL·kg−1·min−1, with females below average and males meeting typical values for their designated sport. Assessing D1 athletes can provide guidance for sports dietitians, coaches, and strength and conditioning specialists to track and monitor nutrition in athletes. [ABSTRACT FROM AUTHOR]

ObjectivesThe present study aimed to observe how body composition differs between severe acute malnutrition (SAM) (treated with ready-to-use therapeutic food, RUTF) and well-nourished children.MethodsA longitudinal investigation was conducted among well-nourished and SAM children of 6-59 months in Rohingya refugee camps. These two groups (350 children in each group) of children were observed over 12 weeks and individual data were collected during admission, follow-up visits, and at the time of discharge. Anthropometric information was collected following standard procedures. The thicknesses of the biceps, triceps, subscapular, and supra iliac skinfolds were measured using a Herpenden-type skinfold caliper. Separate linear mixed models were conducted to assess associations of the independent variables (i.e., group and time) with each of the dependent variables (i.e., biceps, triceps, subscapular, supra-iliac skinfold thickness (ST), fat mass (FM), and fat-free mass (FFM)).ResultsBoth in well-nourished and SAM children, the mean biceps, triceps, subscapular, and supra-iliac ST, FM, and FFM increased over the 12 weeks. The increase in biceps ST was significantly faster in the SAM children compared to the well-nourished children (difference in slope = 0.366 mm every four weeks; p

PURPOSE: Public health interventions to address stunting and wasting should be evaluated for possibly contributing to obesity risk. The present study tested the hypothesis that small-quantity lipid-based nutrient supplements (SQ-LNS) might increase fat deposition, and that additional zinc provided via SQ-LNS or in the form of dispersible tablets would increase fat-free mass (FFM) accretion. METHODS: Using a two-stage, cluster-randomized trial design, 34 communities were randomly assigned to the intervention cohort (IC) or non-intervention cohort (NIC), and family compounds within the IC were randomly assigned to receive different amounts of zinc (0, 5 or 10 mg zinc) incorporated in SQ-LNS or 5 mg zinc in the form of dispersible tablets along with treatment for diarrhea, malaria and fever. Body composition was assessed in a subset of IC (n = 201) and NIC (n = 74) children at 9 and 18 months using the deuterium dilution method. A mixed linear model was used to examine average change in FFM and % fat mass (%FM) among intervention groups and by cohort. RESULTS: Children in the IC had significantly greater change in FFM (Mean (95% Confidence Interval)) (1.57 (1.49, 1.64) kg) compared to the NIC (1.35 (1.23, 1.46) kg; p = 0.005). There were no significant differences in the change in %FM between the NIC and IC or among the intervention groups. CONCLUSION: SQ-LNS, along with morbidity treatment increased weight gain and FFM in young children from 9 to 18 months of age without increasing FM deposition. Additional zinc supplementation did not affect changes in FFM or %FM. TRIAL REGISTRATION: The study was registered as a clinical trial with the US National Institute of Health ( www. CLINICALTRIALS: gov ; NCT00944281).

Abstract Objective The search for other indicators to assess the weight status of individuals is important as it may provide more accurate information and assist in personalized medicine.This work is aimed to develop a machine learning predictions of weigh status derived from bioimpedance measurements and other physical parameters of healthy infant juvenile cohort from the Southern Cuba Region, Santiago de Cuba. Methods The volunteers were selected between 2002 and 2008, ranging in age between 2 and 18 years old. In total, 393 female and male infant and juvenile individuals are studied. The bioimpedance parameters are obtained by measuring standard tetrapolar whole-body configuration. A classification model are performed, followed by a prediction of other bioparameters influencing the weight status. Results The results obtained from the classification model indicate that fat-free mass, reactance, and corrected resistance primarily influence the weight status of the studied population. Specifically, the regression model demonstrates that other bioparameters derived from impedance measurements can be highly accurate in estimating weight status. Conclusion The classification and regression predictive models developed in this work are of the great importance for accessing to the weigh status with high accuracy of younger individuals at the Oncological Hospital in Santiago de Cuba, Cuba.

Abstract The appropriate use of predictive equations in estimating body composition through bioelectrical impedance analysis (BIA) depends on the device used and the subject’s age, geographical ancestry, healthy status, physical activity level and sex. However, the presence of many isolated predictive equations in the literature makes the correct choice challenging, since the user may not distinguish its appropriateness. Therefore, the present systematic review aimed to classify each predictive equation in accordance with the independent parameters used. Sixty-four studies published between 1988 and 2023 were identified through a systematic search of international electronic databases. We included studies providing predictive equations derived from criterion methods, such as multi-compartment models for fat, fat-free and lean soft mass, dilution techniques for total-body water and extracellular water, total-body potassium for body cell mass, and magnetic resonance imaging or computerized tomography for skeletal muscle mass. The studies were excluded if non-criterion methods were employed or if the developed predictive equations involved mixed populations without specific codes or variables in the regression model. A total of 106 predictive equations were retrieved; 86 predictive equations were based on foot-to-hand and 20 on segmental technology, with no equations used the hand-to-hand and leg-to-leg. Classifying the subject’s characteristics, 19 were for underaged, 26 for adults, 19 for athletes, 26 for elderly and 16 for individuals with diseases, encompassing both sexes. Practitioners now have an updated list of predictive equations for assessing body composition using BIA. Researchers are encouraged to generate novel predictive equations for scenarios not covered by the current literature. Registration code in PROSPERO: CRD42023467894.

Background and aim: As the spleen plays a significant role in immunity, the aim was to investigate the associations of different body composition markers derived from various sources with spleen volume in a general population sample. Materials and methods: Cross-sectional data of 1095 individuals (570 women; 52%) aged between 30 and 90 years were collected in the Study of Health in Pomerania (SHIP-START-2). We measured spleen volume by magnetic resonance imaging (MRI).Body composition markers were derived from classic anthropometry, bioelectrical impedance analysis, including absolute fat mass (FM) and fat-free mass (FFM), as well as from MRI, including visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), and liver fat content. Sex-stratified-adjusted linear regression models were used to analyze the associations of body composition markers with spleen volumes. Results: We observed positive associations of body mass index, body weight, waist circumference, hip circumference, waist-to-height ratio, absolute FM, absolute FFM, and VAT and SAT with spleen volume in men and women. An 8.12 kg higher absolute FFM was associated with a 38.4 mL (95% confidence interval [CI]: 26.7–50.1) higher spleen volume in men and a 5.21 kg higher absolute FFM with a 42.6 mL (95% CI: 26.2–59.0) higher spleen volume in women. Conclusion: Our findings indicate that obesity-related body composition markers and FFM are associated with a higher spleen volume. Particularly, higher absolute FFM showed a strong association with a larger spleen volume in both men and women. Further studies are warranted to understand the clinical significance of body composition markers on large spleen volume.

Background and aims: Physiologic and metabolic changes following spinal cord injury (SCI) lead to an increased risk of malnutrition. The Global Leadership Initiative on Malnutrition (GLIM) is a three-step approach to diagnose malnutrition: 1) screening; 2) phenotypic and etiological criteria; and 3) malnutrition severity. The main aim of this study was to assess malnutrition in patients with SCI, according to the GLIM criteria. Methods: Patients with SCI (≥ 18 years) admitted to rehabilitation were included. Anthropometrics, food intake, and inflammation were assessed on admission. Fat-free mass index (FFMI) was estimated from bioimpedance analysis. Malnutrition was diagnosed by the GLIM criteria, using the Malnutrition Universal Screening Tool (MUST) as the first step screening tool. Sensitivity and specificity analyses were performed. Results: In total, 66 patients were assessed (50 men) with a mean age of 51.4 (± 17.4) years and median time since injury was 37.5 (10–450) days. The mean body mass index was 24.7 (± 4.2) kg/m2, and 1-month involuntary weight loss was 5.7 (± 4.4)%. FFMI for men was 17.3 (± 1.9) and for women 15.3 (± 1.6) kg/m2. Forty-one patients (62%) were malnourished according to the GLIM criteria: 27 moderately and 14 severely malnourished. MUST was not able to detect malnutrition risk of nine patients, giving a moderate agreement (kappa 0.66), with a sensitivity of 0.78 and a specificity of 0.92 compared to the GLIM diagnosis. Conclusions: In this cross-sectional study, 62% of subacute SCI patients were malnourished according to the GLIM criteria. The screening tool MUST showed moderate agreement with the GLIM criteria and did not detect risk of all patients with a malnutrition diagnosis. The clinical implications of these findings need further investigation.

The appropriate use of predictive equations in estimating body composition through bioelectrical impedance analysis (BIA) depends on the device used and the subject's age, geographical ancestry, healthy status, physical activity level and sex. However, the presence of many isolated predictive equations in the literature makes the correct choice challenging, since the user may not distinguish its appropriateness. Therefore, the present systematic review aimed to classify each predictive equation in accordance with the independent parameters used. Sixty-four studies published between 1988 and 2023 were identified through a systematic search of international electronic databases. We included studies providing predictive equations derived from criterion methods, such as multi-compartment models for fat, fat-free and lean soft mass, dilution techniques for total-body water and extracellular water, total-body potassium for body cell mass, and magnetic resonance imaging or computerized tomography for skeletal muscle mass. The studies were excluded if non-criterion methods were employed or if the developed predictive equations involved mixed populations without specific codes or variables in the regression model. A total of 106 predictive equations were retrieved; 86 predictive equations were based on foot-to-hand and 20 on segmental technology, with no equations used the hand-to-hand and leg-to-leg. Classifying the subject's characteristics, 19 were for underaged, 26 for adults, 19 for athletes, 26 for elderly and 16 for individuals with diseases, encompassing both sexes. Practitioners now have an updated list of predictive equations for assessing body composition using BIA. Researchers are encouraged to generate novel predictive equations for scenarios not covered by the current literature. Registration code in PROSPERO: CRD42023467894. [ABSTRACT FROM AUTHOR]

Objective: The search for other indicators to assess the weight status of individuals is important as it may provide more accurate information and assist in personalized medicine.This work is aimed to develop a machine learning predictions of weigh status derived from bioimpedance measurements and other physical parameters of healthy infant juvenile cohort from the Southern Cuba Region, Santiago de Cuba. Methods: The volunteers were selected between 2002 and 2008, ranging in age between 2 and 18 years old. In total, 393 female and male infant and juvenile individuals are studied. The bioimpedance parameters are obtained by measuring standard tetrapolar whole-body configuration. A classification model are performed, followed by a prediction of other bioparameters influencing the weight status. Results: The results obtained from the classification model indicate that fat-free mass, reactance, and corrected resistance primarily influence the weight status of the studied population. Specifically, the regression model demonstrates that other bioparameters derived from impedance measurements can be highly accurate in estimating weight status. Conclusion: The classification and regression predictive models developed in this work are of the great importance for accessing to the weigh status with high accuracy of younger individuals at the Oncological Hospital in Santiago de Cuba, Cuba. [ABSTRACT FROM AUTHOR]

Summary: Background and Objective: Almond consumption has an inverse relationship with obesity and factors related to metabolic syndrome. However, the results of available clinical trials are inconsistent. Therefore, we analyzed the results of 37 randomized controlled trials (RCTs) and evaluated the association of almond consumption with subjective appetite scores and body compositions. Methods: Net changes in bodyweight, body mass index (BMI), waist circumference (WC), fat mass (FM), body fat percent, fat‐free mass (FFM), waist‐to‐hip ratio (WHR), visceral adipose tissue (VAT), and subjective appetite scores were used to calculate the effect size, which was reported as a weighted mean differences (WMD) and 95% confidence interval (CI). Results: This meta‐analysis was performed on 37 RCTs with 43 treatment arms. The certainty in the evidence was very low for appetite indices, body fat percent, FFM, VAT, and WHR, and moderate for other parameters as assessed by the GRADE evidence profiles. Pooled effect sizes indicated a significant reducing effect of almond consumption on body weight (WMD: −0.45 kg, 95% CI: −0.85, −0.05, p = 0.026), WC (WMD: −0.66 cm, 95% CI: −1.27, −0.04, p = 0.037), FM (WMD: −0.66 kg, 95% CI: −1.16, −0.17, p = 0.009), and hunger score (WMD: −1.15 mm, 95% CI: −1.98, −0.32, p = 0.006) compared with the control group. However, almond did not have a significant effect on BMI (WMD: −0.20 kg m−2, 95% CI: −0.46, 0.05, p = 0.122), body fat percent (WMD: −0.39%, 95% CI: −0.93, 0.14, p = 0.154), FFM (WMD: −0.06, 95% CI: −0.47, 0.34, p = 0.748), WHR (WMD: −0.04, 95% CI: −0.12, 0.02, p = 0.203), VAT (WMD: −0.33 cm, 95% CI: −0.99, 0.32), fullness (WMD: 0.46 mm, 95% CI: −0.95, 1.88), desire to eat (WMD: 0.98 mm, 95% CI: −4.13, 2.23), and prospective food consumption (WMD: 1.08 mm, 95% CI: −2.11, 4.28). Subgroup analyses indicated that consumption of ≥50 g almonds per day resulted in a significant and more favorable improvement in bodyweight, WC, FM, and hunger score. Body weight, WC, FM, body fat percent, and hunger scores were decreased significantly in the trials that lasted for ≥12 weeks and in the subjects with a BMI < 30 kg/m2. Furthermore, a significant reduction in body weight and WC was observed in those trials that used a nut‐free diet as a control group, but not in those using snacks and other nuts. The results of our analysis suggest that almond consumption may significantly improve body composition indices and hunger scores when consumed at a dose of ≥50 g/day for ≥12 weeks by individuals with a BMI < 30 kg/m2. Conclusion: However, further well‐constructed randomized clinical trials are needed in order ascertain the outcome of our analysis. [ABSTRACT FROM AUTHOR]

The aim of the study was to investigate the influence of strength level between stronger and weaker handball players on handball specific fitness elements and to explore the correlations between strength and sport-specific fitness elements. Twenty-one professional male handball-players (age: 25.9 ± 6.9 years; mass: 87.9 ± 13.9 kg; height: 1.81 ± 0.08 m), participated in the study. Players were divided into the stronger (SG) and weaker group (WG) according to their relative to body mass 1 repetition maximum strength (1RM). Measurements included body composition, countermovement jump (CMJ), isometric leg extension peak torque (IPT) and rate of torque development (RTD), 5-step long-jump, 0-20 m linear sprint, T-half test, throwing velocity, and 1RM in bench press and squat. No significant difference was found for body composition between SG and WG (p > 0.05). However, SG had significantly higher CMJ height (21.5%, p = 0.002), IPT (22.4%, p = 0.008), RTD relative to body mass (p < 0.05), 5-step long jump (10.9%, p = 0.005), lower 0-20 linear sprint (-6.3%, p = 0.012), lower T-half test time trial (-7.3%, p = 0.001), and higher throwing velocity compared with WG (p < 0.05). When all players included in one group, large to very large correlations were found between 1RM strength and IPT with fat-free mass (r = 0.518-0.774) and throwing velocity (r = 0.472-0.819). Very large correlations were found between RTD with fat-free mass (r = 0.760) and throwing velocity (r = 0.780-0.835). Stronger players have greater performance in all handball-fitness attributes compared with their weaker counterparts. The significant correlations between handball-specific fitness elements with strength and RTD suggest that strength training is essential for handball players as it may link to higher on court performance. [ABSTRACT FROM AUTHOR]

To determine the validity of bioelectrical impedance analysis (BIA) in quantifying fat-free mass (FFM) compared to air-displacement plethysmography (ADP) in patients with a motor neurone disease (MND). FFM of 140 patients diagnosed with MND was determined by ADP using the BodPod (i.e. the gold standard), and by BIA using the whole-body Bodystat. FFM values were translated to predicted resting energy expenditure (REE); the actual REE was measured using indirect calorimetry, resulting in a metabolic index. Validity of the BIA compared to the ADP was assessed using Bland-Altman analysis and Pearson's r. To assess the clinical relevance of differences, we evaluated changes in metabolic index and in individualized protein demand. Despite the high correlation between ADP and BIA (r = 0.93), averaged across patients, the assessed mean fat-free mass was 51.7 kg (± 0.9) using ADP and 54.2 kg (± 1.0) using BIA. Hence, BIA overestimated fat-free mass by 2.5 kg (95% CI 1.8–3.2, p < 0.001). Clinically, an increased metabolic index would be more often underdiagnosed in patients with MND using BIA (31.4% according to BIA versus 44.2% according to ADP, p = 0.048). A clinically relevant overestimation of ≥ 15 g in protein demand was observed for 4 (2.9%) patients using BIA. BIA systematically overestimates FFM in patients with MND. Although the differences are limited with ADP, underscoring the utility of BIA for research, overestimation of fat-free mass may have consequences for clinical decision-making, especially when interest lies in determining the metabolic index. [ABSTRACT FROM AUTHOR]

Speed and agility have been described as crucial abilities for soccer players. The purpose of this study was to analyze, in detail, the variance in speed and agility tasks explained by lower-body power after controlling for age and body composition. The participants were 96 male soccer players aged 16.1 ± 1.6 years. Body composition (stature, body fat percentage—BF%, body mass, and fat-free mass—FFM), lower-body power (countermovement jump—CMJ, and squat jump—SJ), speed (5-, 10-, and 35 m sprints), and agility (t-test) were assessed. Among body composition parameters, BF% presented the highest number of significant relationships with speed and agility, with the strength of correlations ranging from small (5 m sprint, r = 0.25) to large (35 m sprint, r = 0.52). The strongest correlation coefficient emerged between FFM and the 35 m sprint (r = −0.65). Significant correlations were found between vertical jump performance and the 35 m sprint (CMJ: r = −0.68; SJ: r = −0.69), followed by the t-test (CMJ: r = −0.35; SJ: r = −0.47). The hierarchical multiple regression model could explain 22% to 67% of the variance observed in agility scores and speed. BF% remained the most statistically significant negative predictor of all regression models. The CMJ remained a statistically significant positive predictor of the 35 m sprint (β = −0.581, p ≤ 0.01) after controlling for age and body composition. Integrating programs targeting lower-body power might be important to enhance speed and agility performance in youth soccer. On the other hand, future research based on multidisciplinary approaches to investigate the effects of nutritional strategies in reducing or preventing gains in BF% is still needed, which remained a significant predictor of sprint and agility performance in the final models. [ABSTRACT FROM AUTHOR]