Fat-free Mass Index Research Articles

Urinary pentosidine as a potential biomarker of muscle and physical performance in young adult men

Pentosidine is representative of the cross-linked structure of advanced glycation end products (AGEs) and has been suggested as a biomarker to assess bone and muscle quality. As studies on pentosidine in young adult men remain limited, we aimed to clarify the associations of urinary pentosidine with musculoskeletal status and physical performance in young men. Participants in this study comprised 32 men (age range: 19–39 years). Anthropometric measurements (body composition by InBody 430; stiffness index by ultrasound), muscle performance (grip strength by dynamometer, thigh muscle thickness by ultrasound), physical performance (functional reach test, 30-s chair stand test, and timed up and go test), and urinary biomarkers (pentosidine, N-telopeptide of type I collagen, and creatinine) were measured. In partial correlation analysis adjusted for age and height, higher urinary pentosidine levels were significantly associated with lower fat-free mass index (rho = − 0.368, p = 0.046), grip strength (rho = − 0.433, p = 0.017), rectus femoris thickness (rho = − 0.393, p = 0.032), and anterior thigh thickness (rho = − 0.416, p = 0.022), and a marginally inverse correlation was noted between urinary pentosidine levels and functional reach test (rho = − 0.327, p = 0.078). Our findings suggest that pentosidine correlates inversely with a few muscle and physical performance indicators. Pending future validations, urinary pentosidine may be a biomarker of AGEs in young men.

Associations of the fat-free mass index and the fat mass index with the risk of developing diabetes and prediabetes in US adults: a nationally representative cross-sectional study

BackgroundObesity and overweight, as determined by the body mass index (BMI), are harmful to metabolic health. However, the BMI can not reflect body composition or fat distribution. The fat-free mass index (FFMI) and the fat mass index (FMI) can provide more information on body composition. The aim of the observational research was to determine whether the FMI and the FFMI are significantly associated with the risk of developing diabetes and prediabetes.MethodsThe investigators included data for 10,085 National Health and Nutrition Examination Survey (2011–2018) participants aged over 20 years who underwent dual-energy X-ray absorptiometry (DXA). The FFMI and the FMI were determined based on total fat mass and lean mass measured by DXA. Diabetes and prediabetes status were determined by medical history and laboratory examination. Logistic regression analyses were performed to explore the correlations between the FMI/FFMI and the risk of developing diabetes/prediabetes. Restricted cubic spline analysis was used to explore underlying nonlinear associations.ResultsIn the present study, 1,135 patients were diagnosed with diabetes, 3,258 had prediabetes, and 5,692 were classified as control participants. The FFMI (odds ratio (OR) = 1.10, 95% confidence interval (CI) = 1.04–1.16) and the FMI (OR = 1.08, 95% CI = 1.04–1.12) were independently related to an increased risk of developing diabetes. Moreover, the FFMI (OR 1.08, 95% CI 1.02–1.16) and the FMI (OR 1.07, 95% CI 1.02–1.13) also independently correlated with a rising risk of developing prediabetes. The restricted cubic spline (RCS) outcomes suggested that the associations are approximately linear.ConclusionsBoth the FMI and the FFMI significantly correlated with the danger of developing diabetes and prediabetes, and the correlations are approximately linear.

Prediction of spirometry outcome in Croatian patients with chronic obstructive pulmonary disease.

The current study offers an extensive examination of the influence of 29 diverse parameters on spirometry measurement variables in a cohort of 534 patients with chronic obstructive pulmonary disease (COPD) from five different centers in Croatia. The study elucidates both the magnitude and direction of the effect exerted by the 29 predictors on forced vital capacity (FVC), forced expiratory volume in one second (FEV1), the ratio FEV1/FVC, and predicted forced expiratory flow at 50% of FVC. Additionally, the development of prediction models for these parameters has been undertaken using several statistical methods. The study identifies fat-free mass index, 6-minute walk distance, predicted diffusing capacity of the lung for carbon monoxide, arterial partial pressure of oxygen, and both arterial and tissue hemoglobin oxygen saturation percentage as robust positive predictors for all four spirometry parameters. Body mass index is recognized as a weak positive predictor for FEV1 and FEV1/FVC, commonly observed in COPD patients. As expected, smoking years is identified as a strong negative predictor for all four spirometry parameters, while age and illness duration exhibit strong predictive negative associations. Furthermore, modified medical research council, arterial partial pressure carbon dioxide, St George's respiratory questionnaire, COPD assessment test, depression anxiety stress scales, and nutritional risk screening are identified as weak negative predictors. Charlson comorbidity index, phase angle, and number of comorbidities do not exhibit a significant impact on spirometry variables. Ultimately, the performed factorial analysis categorized the 29 parameters into five groups, which were identified as relating to lung function, health status, nutritional status, age, and smoking. Multiple regression analysis, including four newly derived parameters based on the results of factorial analysis, identified nutritional status as a positive predictor for spirometry readings, while smoking, poor health status, and age were identified as negative predictors in successive order.

Phase angle and body composition in long-term type 1 diabetes in adults: a comparative study in a Brazilian public reference outpatient clinic

IntroductionType 1 Diabetes Mellitus (DM1) affects a small percentage of the population. Nevertheless, its prevalence is currently growing with alarming data on uncontrolled cases. The importance of body composition and Phase Angle (PA), assessed by Bioelectrical Impedance (BIA), in long- term DM1 patients lies in the fact that alterations in cellular integrity and body compartments may affect risk profiles and metabolic control. The objective of this study was to compare PA and body composition parameters between adults with DM1 and healthy controls.MethodsA comparative study was carried out in a public university outpatient clinic including a cohort of adult patients of both sexes diagnosed with DM1 and healthy controls matched by age and sex in a 2:1 ratio. Anthropometric measurements included weight, height and BMI. Using the raw BIA data of Resistance and Reactance, fat-free mass (FFM), fat mass (FM), fat-free mass index (FFMI), fat mass index (FMI), PA and standardized PA (SPA) were calculated. Means or medians were compared between the groups. Regression models were used to identify distinguishing characteristics of the groups and associations within the DM1 group (i.e. glycated hemoglobin (HbA1c), disease duration, presence of microvascular complications, capillary blood glucose, BMI and FMI).Results88 patients with DM1and 46 healthy controls were evaluated. PA (6.05 vs. 6.85, p = 0.000) and SPA (-1.47 vs. -0,37, p = 0.000) were lower in patients with DM1 compared to healthy controls. People with DM1 displayed higher adiposity (%FM = 29.6 vs. 27.6, p = 0.016; FMI = 7.00 vs. 6.33, p = 0.016) and lower %FFM compared to healthy controls. Most of the differences were maintained after sex stratification; however, men with DM1 showed a lower FFMI than male controls (18.2 vs. 20.16, p = 0.029).ConclusionPatients with DM1 present lower PA than healthy controls, which may be related to worse cell membrane integrity. Significant body composition differences between the groups and between sexes were identified, with data showing greater adiposity in women with DM1 and men displaying lower muscle mass. These findings suggest the importance of including PA and body composition evaluations in the follow-up of patients with DM1. The ultimate goal is to obtain a better metabolic control and, consequently, a better prognosis.

Important features of bench press performance in non-disabled and Para athletes: A scoping review.

Understanding important features for performance in non-disabled bench press and Paralympic powerlifting may inform talent identification and transfer models. The aim of this scoping review was to describe features associated with bench press performance. We conducted a systematic search of three electronic databases (PubMed, SportDiscus and EMBASE) to identify studies involving non-disabled and Para athlete populations that investigated features related to bench press one-repetition maximum (1RM), across six domains (anthropometric, body composition, demographic, technical, disability and neuromuscular). Search terms included "resistance training", "para powerlifting' and "one repetition max". No date restrictions were include in searches. Studies using adult participants, with at least six-months of bench press experience, who were able to bench press their body mass were included. Thirty-two studies met our inclusion criteria. Twenty-four studies involved non-disabled athletes (total n = 2,686; 21.9% female) and eight involved Para athletes (total n = 2,364; 39.4% female). Anthropometric (17 studies) and body composition (12 studies) features were most studied; half of the 32 studies investigated features from a single domain. Of anthropometric variables, upper arm circumference shared the strongest association with bench press 1RM in non-disabled (r = 0.87) and para-athletes (r = 0.65). Upper limb fat free mass (r = 0.91) and body mass index (r = 0.46) were the body composition variables sharing the strongest association with bench press 1RM in non-disabled and para-athletes. Few studies considering the uncertainty of their results. Practices of open and transparent science, such as pre-registration and data sharing, were absent. The development of bench press talent identification and sport transfer models will require future studies to investigate both non-training and training modifiable features, across multiple domains. Large longitudinal studies using information from athlete monitoring databases and multivariable model approaches are needed to understand the interacting features associated with bench press performance, and for the development of talent identification models.

The ability of GLIM and MNA-FF to diagnose malnutrition and predict sarcopenia and frailty in hospitalized adults over 60 years of age.

Malnutrition remains common in adults over 60 years old. Although there are screening and diagnostic tools for malnutrition, there is no globally used approach to diagnosing malnutrition in older adults admitted to the hospital. In this study, we verified the agreement between the Global Leadership Initiative on Malnutrition (GLIM) and the Mini Nutritional Assessment (MNA) and the ability of the instruments to identify frailty and sarcopenia associated with malnutrition. For adults over 60 years old, malnutrition diagnosis was performed using the Mini Nutritional Assessment Full Form (MNA-FF) tool and the GLIM criteria, which included calf circumference and fat-free mass index to assess muscle mass, with and without the Mini Nutritional Assessment Short Form (MNA-SF) screening. Health conditions were assessed in older adults, and the association of these conditions with malnutrition was analyzed using both tools. A total of 432 adults over 60 years old were investigated with a mean age of 71.14 ± 8 years. The GLIM criteria with the nutritional screening tool identified 61-63% of older adults as malnourished. Of these, 63-64% were severely malnourished. The MNA-FF tool classified 20% of those assessed as malnourished. The agreement between the MNA-FF and GLIM was better with the use of screening, with a kappa (K) value of -0.10 and - 0.11. Sarcopenia was associated with malnutrition as identified by the MNA-FF (OR: 3.08, 95% CI: 1.84-5.14) and only by the GLIM ANTHRO (OR: 1.66, 95% CI: 1.05-2.63). Frailty was associated with the MNA-FF (OR: 15.99, 95% CI: 2.16-118.36), GLIM ANTHRO (OR: 2.21, 95% CI: 1.31-3.71), and GLIM BIA (OR: 2.45, 95% CI: 1.45-4.12). It is possible to verify that divergent conceptual frameworks are used to understand malnutrition by the MNA-FF and GLIM and that the GLIM obtained a greater number of malnutrition diagnoses. Both the GLIM ANTHRO and the MNA-FF associated malnutrition with frailty and sarcopenia, with higher hazard ratios for the MNA-FF.

Correlation Between Muscle Strength, Swing Speed, Batting Statistics, and Body Composition Parameters in High School Baseball Players: A Retrospective Observational Study.

Suzuki, K, Mizoguchi, Y, Kimura, F, Fujisaki, K, Yokoyama, D, Hall, T, and Akasaka, K. Correlation between muscle strength, swing speed, batting statistics, and body composition parameters in high school baseball players: a retrospective observational study. J Strength Cond Res XX(X): 000-000, 2024-Body composition has emerged as a pivotal factor influencing baseball player performance. The purpose of this study was to examine the relationships between muscle strength, swing speed, batting statistics, and body composition in high school baseball players. This retrospective study evaluated 29 high school baseball players included critical parameters related to body composition (body fat percentage, lean body mass [LBM], fat mass index [FMI], and fat-free mass index [FFMI]), muscle strength (bench press, squat, deadlift), batting statistics (batting average, on-base percentage, slugging percentage, on-base plus slugging), and swing speed. These metrics were gathered using a body composition analyzer (Omron HBF-701; Omron Healthcare Co., Kyoto, Japan). After the correlation analysis with body composition, a subsequent multivariate analysis was conducted. Multivariate regression analysis identified LBM (p < 0.05, p < 0.01) as a significant predictor for bench press and swing speed, FFMI for squat (p < 0.01), and FMI for deadlift (p < 0.05). No significant association was found between body composition and batting statistics. Lean body mass has been identified as an important contributing factor to swing speed, suggesting the need for body composition management among high school baseball players and coaches to enhance performance and functionality. However, no association was found between batting statistics and body composition. Therefore, it is suggested that high school baseball players prioritize the development of technical skills over swing speed and muscle strength to improve batting statistics.

Big data-based reference centiles for body composition in Korean children and adolescents: a cross-sectional study

BackgroundThe 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.MethodsA 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).ResultsThe 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.ConclusionsThis study produced age- and sex-specific reference percentiles for body composition indices in Korean children and adolescents using extensive biometric data.

Salivary Gland Volume Predicts Malnutrition in Irradiated Head and Neck Cancer Patients: A Prospective Analysis.

Xerostomia following (chemo-) radiotherapy (CRT) is common in head and neck (HNC) patients. This prospective study focused on investigating the link between salivary gland function and the onset of malnutrition in HNC patients. Between 2018 and 2020, 61 HNC patients scheduled for curative CRT were prospectively recruited. Nutritional status was assessed by bioelectrical impedance analysis (BIA) and xerostomia was evaluated based on the Common Terminology Criteria for Adverse Events, (CTCAE). Patient-reported outcomes for xerostomia-related symptoms, such as "dry mouth" and "sticky saliva", were also collected. Data were assessed at the beginning of therapy, during treatment, at the end of treatment, and during follow-up. Organs at risk were contoured including the submandibular and parotid glands. Dose-volume parameters were extracted for the mean Dose (Dmean), V15 Gy, V30Gy and V45Gy. No correlation was found between the dosimetric parameters [Dmean, V15Gy (%), V30Gy (%) and V45Gy (%)] and the occurrence of malnutrition [defined by a fat-free mass index (FFMI) <15 kg/m2 (♀) and <17 kg/m2 (♂) kg/m2 and/or body-mass index (BMI) <18.5 kg/m2] at any of the three time points tested. However, the volume of the parotid glands prior to therapy appeared to be related to the development of malnutrition. This effect was not observed with the submandibular glands. A cumulative parotid gland volume of 55.3 cm3 was identified as the threshold for malnutrition at the second follow-up examination. Although none of the dosimetric factors were associated with the development of malnutrition, the baseline parotid gland volume emerged as an independent predictor of malnutrition in head and neck cancer patients with xerostomia.

Improving the nutritional evaluation in head neck cancer patients using bioelectrical impedance analysis: Not only the phase angle matters.

Malnutrition and sarcopenia are highly prevalent in patients with head neck cancer (HNC). An accurate early diagnosis is necessary for starting nutritional support, as both are clearly associated with clinical outcomes and mortality. We aimed to evaluate the applicability and accuracy of body composition analysis using electrical bioimpedance vectorial analysis (BIVA) for diagnosing malnutrition and sarcopenia in patients with HNC cancer undergoing systemic treatment with chemotherapy or radiotherapy. Cross-sectional, observational study that included 509 HNC patients. A comprehensive nutritional evaluation that included BIVA was performed. The prevalence of malnutrition was higher in patients that received treatment with chemotherapy (59.2% vs. 40.8%, P<0.001); increased mortality was observed in malnourished patients (33.3% vs. 20.1%; P<0.001); ECOG status (1-4) was also worse in malnourished patients (59.2% vs. 22.8% P<0.001). Body cell mass (BCM) and fat mass were the most significantly associated parameters with malnutrition [OR 0.88 (0.84-0.93) and 0.98 (0.95-1.01), respectively]; BCM and fat free mass index (FFMI) were associated with several aspects including (1) the patient-generated subjective global assessment [OR 0.93 (0.84-0.98) and 0.86 (0.76-0.97), respectively], (2) the presence of sarcopenia [OR 0.81 (0.76-0.87) and 0.78 (0.66-0.92), respectively]. A BCM index (BCMI)<7.8 in combination with other parameters including FFMI and BCM accurately predicted patients with malnutrition [accuracy 95% CI: 0.803 (0.763-0.839); kappa index: 0.486; AUC: 0.618 (P<0.01)]. A BCMI cutoff of 7.6 was enough for identifying males with malnutrition (P<0.001), while it should be combined with other parameters in females. Body composition parameters determined by BIVA accurately identify patients with HNC and malnutrition. Phase angle, but other parameters including BCMI, FFMI and BCM provide significant information about nutritional status in patients with HNC.

Anthropometric indices in older adults with and without Locomotive Syndrome

BackgroundLocomotive syndrome is a major challenge for older adults, and anthropometric indices can greatly affect the musculoskeletal system. This study aimed to compare the anthropometric indices between older adults with and without locomotive syndrome.MethodsThis descriptive-analytical study was performed on 211 older adults using random cluster sampling from a population of over-60 individuals covered by comprehensive health service centers in Sari in Autumn, 2021. Participants were divided into two groups: with and without locomotive syndrome. Locomotive syndrome was assessed via the 25-item Geriatric Locomotive Function Scale questionnaire, and the level of anthropometric indices was determined through the Bioelectrical Impedance Analysis device. Data were analyzed by independent t-test, Mann-Whitney U, Chi-Square, and Binary logistic regression in SPSS, Version 23 (P < 0.05).ResultsThe average age of older adult participants was 78.4 ± 6.6 years. In older adults with locomotive syndrome, the average percentage of fat-free mass (P < 0.001) was significantly lower while the average percentage of fat mass and fat mass index (P < 0.001) was significantly higher. Older adults with locomotive syndrome were shorter in height (P < 0.001) and had a higher body mass index (P < 0.05). Fat-free mass percentage (OR = 0.59) and body mass index (OR = 1.4) predicted the incidence of locomotive syndrome in the subjects. Significant differences such as chronic diseases, chronic pain, falls, age, and gender were observed between the two groups (P < 0.05).ConclusionAnthropometric indices can play an important role in the occurrence of locomotive syndrome in older adults. Evaluation of anthropometric indices and management of body composition can help prevent locomotive syndrome and improve the quality of life of older adults.

Associations of Urinary Cadmium with Body Composition and Fat Distribution in US Adults: Findings from NHANES 2011-2018.

The effects of cadmium (Cd) on metabolic physiology remain controversial. Given the varying metabolic impacts associated with different body compositions, investigating the relationship between Cd exposure and body composition may facilitate further research. Here, the associations of body composition and fat distribution with urine Cd (UCd) were evaluated. This analysis included 2979 adult participants from the 2011-2018 National Health and Demographic Survey (NHANES). UCd was measured using inductively coupled plasma mass spectrometry and adjusted for urinary creatinine. Body composition and fat distribution were estimated using dual-energy x-ray absorptiometry (DXA). The study results show that UCd was negatively associated with fat mass index (FMI) and percent fat mass (p for trend < 0.001), and the negative correlation between UCd and FMI was stronger in males and smokers (all p for interaction < 0.05). In terms of abdominal fat distribution, UCd was negatively associated with abdominal subcutaneous adipose tissue (SAT) mass (p for trend < 0.001), but with abdominal visceral adipose tissue (VAT) mass only in those with low percent fat mass (< 32.3%) (p for trend = 0.026 and p for interaction < 0.05). UCd was positively related to percent VAT (p for trend < 0.001) and visceral-to-subcutaneous (VAT/SAT) ratio (p for trend = 0.003). And there was a significant negative association between UCd and android-to-gynoid (A/G) ratio (p for trend = 0.001). Meanwhile, UCd was negatively correlated with fat-free mass index (FFMI) (p for trend < 0.001). And the negative correlation between UCd and FFMI was stronger in males, smokers, and individuals with < 32.3 percent fat mass (all p for interaction < 0.05). We found the association of UCd with body composition and fat distribution, with distinct patterns observed in different demographic groups. These findings underscore the importance of considering UCd exposure in the context of body composition and fat distribution.

Prognostic value of the fat-free mass index-based cachexia index in patients with colorectal cancer

Studies have shown that the cachexia index (CXI) is a useful predictor of cachexia in patients with colorectal cancer. However, the application of the CXI is limited stemming from the intricacy and additional cost of radiographic examinations. This study aimed to develop an easy-to-use and practical CXI based on fat-free mass index (FFMI-CXI) to evaluate the prognostic value of FFMI-CXI in CRC. A total of 656 patients with CRC were enrolled in the Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) study. The FFMI-CXI was calculated as [FFMI (kg)/height (m)2 × serum albumin (g/L)]/neutrophil-lymphocyte ratio. The cutoff value for FFMI-CXI was determined through the analysis of ROC curves and Youden’s index for both male and female cohorts. Kaplan–Meier survival curves with log-rank tests were conducted to compare time–event relationships between different groups. Cox proportional hazards regression models incorporating both univariate and multivariate variables were employed to explore the independent prognostic factors associated with OS. Logistic regression analysis was performed to assess the association of the FFMI-CXI with secondary outcomes. The major outcome was 5-year overall survival (OS). Based on the cutoff values, 331 patients had low FFMI-CXI, and 325 patients had high FFMI-CXI. Patients in the low FFMI-CXI subgroup were significantly older and had advanced TNM stage, malnutrition, high systemic inflammation, long hospitalizations, high hospitalization costs, adverse short-term outcomes, and all-cause mortality. Multivariate Cox regression analyses revealed that FFMI-CXI (HR 0.47, 95% CI 0.33–0.66; p < 0.001) and TNM stage (HR 3.38, 95% CI 2.63–4.35; p < 0.001) were independently associated with OS in CRC patients. K-M survival curves revealed that the CRC patients with a high FFMI-CXI had significantly more favorable OS than those with low FFMI-CXI (62.84% vs. 84.31%; log-rank p < 0.001). Furthermore, the FFMI-CXI was valuable for predicting 90-day outcomes, malnutrition, cancer cachexia, length of hospitalization, and hospitalization expenses. This study revealed that the FFMI-CXI can be used as a prognostic indicator in patients with CRC. Patients with low FFMI-CXI should receive more attention.

A Comparative Analysis of Serum Irisin Levels and Body Composition Indices in Women With and Without Polycystic Ovary Syndrome (PCOS).

Introduction Polycystic ovarian syndrome (PCOS) is a prevalent endocrine-metabolic disorder impacting women of reproductive age, often manifesting during adolescence. This study aimed to determine serum irisin levels in subjects with PCOS compared to healthy controls and explore the correlation between irisin levels and body composition indices. Methods A cross-sectional study was conducted at a tertiary care hospital. Thirty-three women with PCOS and 32 healthy, age-matched controls were recruited. Relevant socio-demographic and clinical data were collected, and body composition was analyzed using bioelectrical impedance analysis (BIA). Serum irisin levels were measured using enzyme-linked immunosorbent assay (ELISA), and statistical analysis was performed using CoGuide software (Evidencian Research Associates, Bengaluru, India). Results PCOS subjects exhibited significantly higher levels of clinical features associated with hyperandrogenism, including elevated systolic (SBP) and diastolic blood pressure (DBP), body mass index, waist-hip ratio, total cholesterol, low-density lipoproteins (LDL), serum testosterone, body fat percentage, subcutaneous fat percentage, visceral fat percentage, and fat mass index, along with lower high-density lipoprotein levels and lean mass percentage, compared to controls. Serum irisin levels were significantly higher in PCOS cases (10.82 (8.5-14.31) ng/mL) than in controls (2.57 (2.19-4.65) ng/mL). There was a moderate positive correlation between serum irisin and SBP, DBP, hirsutism, total cholesterol, LDL, visceral fat, and serum testosterone levels. Weak correlations were observed between serum irisin and other body fat indices. Subjects with metabolic syndrome exhibited higher irisin levels and significantly elevated body composition indices, including body fat percentage, visceral fat percentage, fat mass index, and fat-free mass index, compared to those without metabolic syndrome. Conclusions PCOS subjects have elevated serum irisin levels, which correlate positively with clinical and biochemical hyperandrogenism, total cholesterol, LDL, and visceral fat. These findings suggest that irisin may play a role in the metabolic and hormonal dysregulation observed in PCOS.

12271 Differential Impacts Of Body Composition Indices On Cortisol Response And Hpa Axis Activity

Abstract Disclosure: S.G. Gonsalves: None. A. Ross: None. M.E. Steele: None. L.N. Saligan: None. Aim: The continued interest in the influence of muscle mass and fat distribution on stress stems from its implications on preventative healthcare. Fat mass index (FMI) and fat-free mass index (FFMI) were proposed as valuable indicators of body composition beyond body mass index (BMI). This study investigated correlations of FMI and FFMI with inflammatory stress markers, hypothesizing that these body composition indices identify inflammatory stress markers more distinctly than BMI. Methods: Skeletal muscle mass was assessed by Dual-Energy X-ray Absorptiometry, HPA axis response through an adrenocorticotropic hormone (ACTH) stimulation test, and markers of inflammation and stress response (e.g., dehydroepiandrosterone, DHEA) from peripheral blood of 104 healthy individuals aged 18-71 years, 52% female, with a mean BMI of 26.3 (+4.83). Perceived stress and fatigue were captured using patient-reported outcome questionnaires before the HPA procedure. Results: ACTH correlated with FFMI at baseline (ρ=0.299, p=0.009) and 60 minutes (ρ=0.254, p=0.041). Cortisol correlated with FFMI at 15 (ρ=–0.248, p≤0.025), 30 (ρ=–0.284, p≤0.010), and 60 minutes (ρ=–0.364, p≤0.001), and with BMI at 15 (ρ=–0.228, p=0.041). FMI and BMI did not correlate with ACTH and FMI with cortisol at any timepoint. With repeated measures ANOVA, FFMI at 50th percentile had large effect on cortisol (p=0.005, partial eta=0.094) at each timepoint, higher for the under lean than those with higher FFMI, compared to BMI at the same percentile (p=0.037, partial eta=0.054). None of the indices reached significance with ACTH. FMI correlated with Erythrocyte Sedimentation Rate (ESR) (ρ=0.521), C-reactive protein (CRP, ρ=0.493, both at p≤0.001), DHEA (ρ=0.252, p=0.030), and epinephrine (ρ=–0.246, p=0.045). FFMI was not correlated with ESR and CRP. BMI correlated only with albumin (ρ = –0.412, p ≤ 0.001 and CRP (ρ=0.342, p≤0.003). Discussion: The higher correlations of inflammatory stress markers with FMI and FFMI, as compared to BMI, supports our study hypothesis. These results hint that these body composition indices may detect subtle stress-related inflammatory changes than BMI. Future research should clarify underlying mechanisms driving these associations and explore the impact of targeted interventions on these indices and subsequent changes to inflammation and stress. Presentation: 6/1/2024

7522 Effects of Trikafta On Bone Mineral Density And Body Composition In Patients With Cystic Fibrosis

Abstract Disclosure: N. Mon: None. S.S. Krishnasamy: None. G. Bakeerathan: None. L. Healy: None. E. Favier: None. S. Foushee: None. Background: Cystic fibrosis related bone disease (CFBD) is a common complication of adult Cystic fibrosis (CF) patients due to calcium, vitamin D and K malabsorption from exocrine pancreatic insufficiency, increased inflammatory cytokines, glucocorticoid therapy, delayed puberty, physical inactivity, and hypogonadism. Newer CF transmembrane conductance regulator (CFTR) modulator therapy elexacaftor/tezacaftor/ivacaftor (Trikafta) has proven benefit in pulmonary and nutritional outcomes. There is limited data on effects of Trikafta on bone health and body composition. The aim is to examine the effects of Trikafta on bone mineral density (BMD) at the lumbar spine (LS) and femoral neck (FN), and body composition in terms of fat free mass index (FFMI) and fat mass index (FMI) in our CF patients. Method: We conducted a cross sectional and retrospective review of 38 adults with CF (Ages 20-59, 28 males and 10 females) in our CF clinic. Body Mass Index (BMI), Body composition measured by bioelectric impedance analysis, BMD of LS and FN by Dual-energy X-ray absorptiometry, Vitamin D level, and forced expiratory volume in one second (FEV1 % predicted) in patients taking Trikafta were analyzed and compared with control CF group who were not on Trikafta. Results: 38 subjects on Trikafta, aged 33.29 ± 10.36 years with FEV1 % predicted 65.11± 28.14% were studied. Serum 25-hydroxyvitamin D level was 35.92 ± 18.52 ng/dL. Of the 38 study patients, 23 (60.53%) had a diagnosis of CF related diabetes (CFRD). Among the Trikafta cohort, 18 (50%) had low BMD with Z-scores ≤ -2.0 and 7 (19.44%) of them had Z score ≤ -1.0 and &amp;gt; -2.0. Compared with the control group, LS BMD 0.93 ± 0.16 g/cm2 and FN BMD 0.73± 0.13g/cm2 (p &amp;gt;0.05) were not improved significantly. BMI of study population 23.09 ± 4.21 kg/m2 (p &amp;lt;0.05) and FMI 6.11 ± 4.25 kg/m2 (p &amp;lt;0.05) increased significantly; however, there was a decrease in FFMI 9.60 ± 1.44 kg/m2 (p &amp;lt;0.05). Conclusion: Treatment with Trikafta in CF patients was associated with increases in BMI and fat mass index but decrease in fat free mass index. There was no statistically significant difference in BMD at LS and FN in our study cohort. This study has limitations in terms of gender differences within the study cohort, duration of Trikafta use in relation to bone mass, and also extent of glucocorticoid use among the study subjects. Larger prospective clinical trials are needed to study efficacy of Trikafta on CFBD. Presentation: 6/3/2024

Plasma proteomics and carotid intima-media thickness in the UK biobank cohort.

Ultrasound derived carotid intima-media thickness (cIMT) is valuable for cardiovascular risk stratification. We assessed the relative importance of traditional atherosclerosis risk factors and plasma proteins in predicting cIMT measured nearly a decade later. We examined 6,136 UK Biobank participants with 1,461 proteins profiled using the proximity extension assay applied to their baseline blood draw who subsequently underwent a cIMT measurement. We implemented linear regression, stepwise Akaike Information Criterion-based, and the least absolute shrinkage and selection operator (LASSO) models to identify potential proteomic as well as non-proteomic predictors. We evaluated our model performance using the proportion variance explained (R 2). The mean time from baseline assessment to cIMT measurement was 9.2 years. Age, blood pressure, and anthropometric related variables were the strongest predictors of cIMT with fat-free mass index of the truncal region being the strongest predictor among adiposity measurements. A LASSO model incorporating variables including age, assessment center, genetic risk factors, smoking, blood pressure, trunk fat-free mass index, apolipoprotein B, and Townsend deprivation index combined with 97 proteins achieved the highest R 2 (0.308, 95% C.I. 0.274, 0.341). In contrast, models built with proteins alone or non-proteomic variables alone explained a notably lower R 2 (0.261, 0.228-0.294 and 0.260, 0.226-0.293, respectively). Chromogranin b (CHGB), Cystatin-M/E (CST6), leptin (LEP), and prolargin (PRELP) were the proteins consistently selected across all models. Plasma proteins add to the clinical and genetic risk factors in predicting a cIMT measurement. Our findings implicate blood pressure and extracellular matrix-related proteins in cIMT pathophysiology.

Changes in fat-free mass index by energy intake of patients with head and neck cancer after undergoing concurrent chemoradiotherapy

Changes in fat-free mass index by energy intake of patients with head and neck cancer after undergoing concurrent chemoradiotherapy

Study of malnutrition in patients with idiopathic pulmonary fibrosis

Background Although the interest in Idiopathic Pulmonary Fibrosis (IPF) has increased in recent years due to the appearance of new therapies however the interest has focused on pulmonary involvement with little concern for systemic manifestations such as the nutritional status abnormalities. Thus, our study assessed the malnutrition prevalence in patients with IPF and the best indicators for the assessment of malnutrition among them. Patients and methods This work was conducted on 110 stable IPF patients who attended the outpatient clinic of Ain Shams University Hospitals from October 2020 to July 2021. Data about the detailed history and nutritional assessment was collected. Results 22.7% and 20.9% were malnourished according to the definition of fat-free mass index (FFMI) and body mass index (BMI), respectively. Most malnourished patients according to low FFMI were female; not using PPI was a significant independent predictors of malnutrition. There was a statistically significant relation between low FFMI and low serum albumin, hemoglobin, and oxygen saturation. Our findings also revealed that measuring BMI and being less than or equal to 22.1 kg/m2 and mid-arm circumference (MAC) less than or equal 28.5 cm is significantly related to low free fat mass index (malnutrition) and increases that risk by 31.63 folds. Conclusion Nearly one-quarter of IPF patients were malnourished and it was found that measuring BMI less than or equal to 22.1 kg/m2 together with MAC less than or equal to 28.5 cm can predict low FFMI and that can be used in our clinical approach.

Variation of All-Cause Mortality with Fat-Free Mass Index (FFMI) and Fat Mass Index (FMI) in Individuals with Asthma: Results from the NHANES Database Retrospective Cohort Study.

The relationship between fat-free mass index (FFMI), fat mass index (FMI), and mortality in patients with asthma remains unknown. This study aimed to examine the associations between FFMI and FMI and all-cause mortality in a cohort of American adults diagnosed with asthma. This study included 15,200 adults from NHANES. To assess mortality, we linked participant records to the National Death Index. FMI and FFMI were measured and evaluated using dual-energy X-ray absorptiometry (DXA). Survival differences across quintiles of FFMI and FMI were explored using Kaplan-Meier plots and log-rank tests, with the proportional hazards assumption assessed using Schoenfeld residuals. Cox proportional hazards regression models were used to estimate the hazard ratios (HRs) for mortality associated with FFMI and FMI, adjusting for potential confounders including age, sex, smoking status, physical activity, and other relevant factors. Additionally, stratified analyses based on theoretical considerations were conducted to identify subgroups of individuals exhibiting an elevated risk of mortality. This study also examined the nonlinear relationships between FFMI, FMI, and mortality using restricted cubic splines (RCS). After a median follow-up of 184 months, 12.11% of individuals had died. Kaplan-Meier plots revealed significant differences in all-cause mortality among patients with asthma across the FFMI and FMI quintiles. Specifically, individuals in the lowest FFMI quintile (Q1, 10.4-16.0, representing the range of FFMI values) exhibited a significantly increased risk of all-cause mortality (HR: 4.63; 95% CI: 1.59, 13.5; p < 0.01). Similarly, elevated risks of all-cause mortality were observed in the upper three quintiles of FMI, with Q3 (4.8-6.1) having an HR of 2.9 (95% CI: 1.20, 7.00; p < 0.05), Q4 (6.2-8.3) having an HR of 3.37 (95% CI: 1.41, 8.03; p < 0.01), and Q5 (8.4-22.8) having an HR of 4.6 (95% CI: 1.31, 16.2; p < 0.05). Moreover, the risk of all-cause mortality increased with increasing FMI and decreasing FFMI (p for non-linearity < 0.001 in both cases). Subgroup analyses further elucidated these associations across different categories. In examining the association between FMI and all-cause mortality among asthma patients across various subgroups, a heightened mortality risk found among males, individuals with medium education levels, medium income levels, and those who consume alcohol. The study shows that both high FMI and low FFMI are associated with increased mortality in patients with asthma. These findings underscore the critical role of FMI and FFMI in the health management of asthma patients. Therefore, it is recommended that clinicians proactively monitor and adjust these indices to improve patient prognosis and enhance health outcomes for individuals with asthma..