UNASSIGNED: Methods of body composition estimation such as dual-energy X-ray absorptiometry (DXA), anthropometry, and bioimpedance (BIA) are used for the estimation of skeletal muscle mass (SMM) and lean body mass (LBM). No previous studies have examined whether these methods generate comparable results, or whether they are valid by using DXA as the reference. The aims of the present investigation were: (a) to assess the differences between DXA, anthropometry, and BIA in the estimation of SMM and LBM, taking into consideration the impact of sex and hydration status; and (b) to examine the agreement of anthropometry and BIA as compared to DXA for the estimation of SMM and LBM.
UNASSIGNED: A descriptive cross-sectional design was followed with 262 healthy young adults (159 males and 103 females). LBM and SMM were assessed by anthropometry with the formulas from Lee et al. and Kulkarni et al. for LBM; and Kerr (opt a), Kerr (opt b), Lee et al., Poortmans, Matiegka, Martin et al., Drinkwater and Ross, and Heymsfield et al. for SMM; by BIA with the formula reported by the TANITA MC-780-MA software for LBM and SMM; and DXA with the formula reported by the Hologic Horizon software for LBM, and the conversion by Kim et al. for SMM.
UNASSIGNED: Significant differences were found for both SMM and LBM in kg, and percentages between most methods and formulas for the overall sample (p < 0.001-0.003) and divided by sex (p < 0.001-0.035). Hydration status did not have a significant effect on the differences between methods and formulas (p = 0.058-0.870). Lin\'s coefficient revealed limited agreement among the majority of formulas and methods (CCC = 0.007-0.880). The Bland-Altman analysis showed significant differences in most methods and formulas, both in the overall sample and divided by sex, when using SMM and LBM with DXA as the reference (p < 0.001-0.030).
UNASSIGNED: There is a lack of agreement between methods and formulas for assessing SMM and LBM. Sex was found to be a significant factor in this analysis. Furthermore, significant differences were observed between most formulas and methods as compared to DXA, except for the equations to estimate SMM with anthropometry by Poortmans.

暂无摘要。

UNASSIGNED: A limited number of studies have reported that the possible effects of coffee intake on skeletal muscle mass, but the results have been inconsistently conclusive and there are no large sample studies concerning the U.S. population. Therefore, the purpose of our study was to explore the connection between coffee consumption and skeletal muscle mass in U.S. adults.
UNASSIGNED: The population for this cross-sectional study was drawn from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018. Appendicular lean mass was accurately obtained from DXA, and skeletal muscle mass was assessed using appendicular skeletal muscle mass adjusted for body mass index (ASMBMI). Coffee and caffeine consumptions were obtained on a 24-h dietary recall questionnaire. Furthermore, the associations between coffee and caffeine intake and skeletal muscle mass were evaluated using three multiple linear regression models and smoothed curve fitting. Subgroup analyses based on age, gender, ethnicity and body mass index (BMI) were performed to assess the robustness of these relationships.
UNASSIGNED: This cross-sectional survey included a total of 8,333 participants. After adjusting for all covariates, higher intake of coffee, caffeinated coffee, and caffeine was associated with elevated ASMBMI (coffee: β = 0.01, 95% CI: 0.01, 0.02, P-value < 0.001; caffeinated coffee: β = 0.01, 95% CI: 0.01, 0.02, P-value < 0.001; caffeine: β = 0.02, 95% CI: 0.01, 0.04, P-value < 0.001). Meanwhile, smoothed curve fitting showed that coffee, caffeinated coffee, and caffeine intake were linearly and positively associated with ASMBMI. After further stratification by sex, age, and ethnicity, the positive relationships between coffee (especially caffeinated coffee) and caffeine intake and ASMBMI were not modified (P for interaction > 0.05). However, these relationships disappeared when the BMI over 30 kg/m2.
UNASSIGNED: In general, consumption of coffee and caffeine is positively associated with skeletal muscle mass. Therefore, an appropriate increase in coffee and caffeine intake may be advocated in populations at high risk for low skeletal muscle mass.

Background Concurrent sarcopenia and obesity in locomotive syndrome (LS) impair activities of daily living and decrease extremity muscle strength and motor function. However, the increased risk of frailty posed by sarcopenic obesity compared to either sarcopenia or obesity alone remains unclear. Objective To examine the association between sarcopenic obesity and frailty risk in community-dwelling older adult women with LS. Methods This cross-sectional study included 158 women aged ≥65 years with LS stage 1 (age, 74.0 yrs, body mass index, 22.7 kg/m2) according to the Japanese Orthopaedic Association criteria. Bioelectrical impedance analysis was used to measure the skeletal muscle mass index (SMI) and percent body fat (PBF). Participants were classified into four subtypes: normal (non-obesity, non-sarcopenia), sarcopenia (SMI < 5.7 kg/m2), obesity (PBF > 35%), and sarcopenic obesity (SMI < 5.7 kg/m2 and PBF > 35%). Logistic regression analysis was used to adjust for age, body mass index, back pain, knee pain, history of falls, and physical function. Results Among the participants, 52 individuals (32.9%) were classified as frailty risk. The percentage of body phenotypes was 30.4% normal, 32.9% were sarcopenia, 22.8% had obesity (RT1), and 13.9% had sarcopenic obesity. The odds ratios for frailty risk compared to normal were 3.97 (95% confidence interval (CI): 1.51 to 10.4), 1.71 (95% CI: 0.55 to 5.39), and 4.25 (95% CI: 1.34 to 13.5) for sarcopenia (RT2), obesity, and sarcopenic obesity subtypes, respectively, sarcopenia and sarcopenic obesity were significantly associated with frailty risk. Conclusion In older adult women with LS, the presence of sarcopenia or sarcopenic obesity may increase the risk of frailty; however, the addition of obesity does not always further increase this risk. Further investigation of the association between increased body fat and frailty in older adult women is warranted.

OBJECTIVE: This study aimed to investigate the temporal changes in body composition following esophagectomy in patients with esophageal cancer using bioelectrical impedance analysis and to assess the prognostic implications of these changes.
METHODS: Our study included 528 patients who underwent esophagectomy and preoperative body composition measurements between January 2013 and June 2020. Postoperative body composition was measured in 493 patients at discharge as follows: 184 at 1 month, 144 at 2 months, 143 at 3 months, 103 at 6 months, 58 at 9 months, and 78 at 12 months.
RESULTS: Body weight (BW) continuously decreased until the 6 postoperative months (POMs), reaching -11.5% compared with preoperative levels. Subsequently, almost no change was observed at 12 POMs. Skeletal muscle mass (SMM) decreased until 3 POMs but gradually recovered after 3 POMs. Conversely, body fat mass (BFM) consistently decreased over time post-esophagectomy. The patients were categorized into moderate (>-10%) and severe (≤-10%) groups based on % BW, % SMM, and % BFM losses at 3 POMs. Severe SMM loss at 3 POMs correlated with reduced overall survival (OS) (3-year OS: 85.9% in moderate vs. 75.1% in severe, p = 0.035). BFM loss was associated with reduced recurrence-free survival (3-year RFS: 83.3% in moderate vs. 62.0% in severe, p = 0.011). Multivariate analysis identified pStages Ⅲ and Ⅳ, % SMM loss ≤ -10%, and % BFM loss ≤ -10% as independent factors for worse OS.
CONCLUSIONS: Post-esophagectomy, distinct temporal changes in BW, SMM, and BFM are observed. Significant reductions in SMM and BFM 3 POMs indicate a poor long-term prognosis.

OBJECTIVE: This study aims to evaluate the utility of body mass index (BMI)-adjusted calf circumference (CC) in estimating skeletal muscle mass and diagnosing sarcopenia, as well as its association with falls, a common adverse event in sarcopenia.
METHODS: This study used cross-sectional and longitudinal designs. The CC cut-off values and the diagnosis of sarcopenia were based on valid diagnostic criteria. BMI-adjusted CC was based on previous studies, with muscle mass measured by dual-energy X-ray absorptiometry. To evaluate the diagnostic performance of BMI-adjusted CC for low muscle mass and sarcopenia, receiver operating characteristic curves were generated, and the area under the curve (AUC) values were compared using DeLong\'s test. Over a 1 year follow-up period, factors associated with falls were examined using logistic regression analysis.
RESULTS: In the study of 901 older adults (77.6 ± 6.1 years, 63.6% women), 38.1% of men and 42.1% of women had a BMI outside the 18.5-24.9 kg/m2 range. BMI-adjusted CC significantly lowered the AUC values for diagnosing low skeletal muscle mass and sarcopenia in both sexes (P < 0.001). Longitudinal univariate logistic regression analysis in women revealed that unadjusted CC was not significantly associated with fall risk, whereas BMI-adjusted CC significantly reduced fall risk at higher values. However, this association was no longer present in the multivariate analysis.
CONCLUSIONS: The utility of BMI-adjusted CC in assessing skeletal muscle mass was not confirmed. The potential value of BMI-adjusted CC has been suggested regarding falls. Further research is warranted to better elucidate these findings.

A loss of skeletal muscle mass and an increase in intramuscular fat are known to occur as we enter middle and older age, but the expected changes or normative values have remained unknown. The primary reason for this is that imaging studies are difficult and expensive to conduct, and consequently, the sample sizes have remained small. The development of the UK Biobank which provides access to a large magnetic resonance imaging (MRI) data set of more than 50,000 participants provides an opportunity to finally address this question of normative values for each age group. The study\'s primary aim was to determine the age-related changes in thigh muscle composition (e.g., thigh fat-free muscle volume and intramuscular fat) between the ages of 45 and 84 years. The second aim was to analyse associations between thigh fat-free muscle volume and intramuscular fat with lifestyle behaviours (smoking, alcohol consumption, and physical activity), leg pain, and bone mineral density. Fifty thousand three hundred thirty-two participants were included in the study. Total fat-free thigh muscle declined between the ages of 45 and 84 years, while intramuscular fat of the thigh continued to increase. The changes were stable between these age groups. The mean volume of fat-free muscle ranged from 11.16 (SD: 1.40) to 13.26 L (SD: 1.85) in adult males and 7.60 (SD: 0.97) to 8.80 L (SD 1.29) in females between the ages of 45 and 84 years. For intramuscular fat, the change among women was from 6.94% (SD: 1.59) in the 45 to 54 years age bracket to 8.83% (SD: 1.92) in the 75 to 84 age bracket, while for men, it was 5.83% (SD: 1.30) in the 45 to 54 age bracket to 7.85% (SD 1.89) in the 75 to 84 age bracket. The total fat-free muscle volume and intramuscular fat percentage provided can be used for the purpose of reference standards or normative values for adults in the age groups provided. Fat-free muscle and intramuscular fat were found to be associated with a range of health, activity, and leg pain outcomes, and these should be investigated in a follow-up longitudinal imaging study.

UNASSIGNED: Muscle atrophy affects more than 50% of patients with chronic kidney disease (CKD) and is associated with increased morbidity and mortality. It is crucial to understand the mechanisms involved in the muscle atrophy in CKD and search for specific determinants of skeletal muscle mass loss, especially those which are available in everyday medical practice. This study aimed to evaluate the association between appendicular skeletal muscle mass (ASM) and anthropometric, body composition, nutritional, inflammatory, metabolic, and kidney function variables in non-dialysis-dependent CKD men.
UNASSIGNED: A total of 85 men with CKD and eGFR lower than 60 mL/min/1.73 m2 were included in the cross-sectional study: 24 participants with eGFR 59-45 mL/min/1.73 m2, 32 individuals with eGFR 44-30 mL/min/1.73 m2, and 29 men with eGFR ≤29 mL/min/1.73 m2. ASM was estimated by bioimpedance spectroscopy (BIS) with the use of a Body Composition Monitor (BCM). To evaluate ASM from BCM, Lin\'s algorithm was used. Among anthropometric parameters, height, weight, and body mass index (BMI) were measured. Serum laboratory measurements were grouped into kidney function, nutritional, inflammatory, and metabolic parameters.
UNASSIGNED: ASM was significantly associated with anthropometric and body composition variables. According to the anthropometric parameters, ASM correlated positively with weight, height, and BMI (p < 0.001 and r = 0.913, p < 0.001 and r = 0.560, and p < 0.001 and r = 0.737, respectively). Among body composition variables, ASM correlated significantly and positively with lean tissue mass (LTM) (p < 0.001, r = 0.746), lean tissue index (LTI) (p < 0.001, r = 0.609), fat mass (p < 0.001, r = 0.489), and fat tissue index (FTI) (p < 0.001, r = 0.358). No other statistically significant correlation was found between ASM and kidney, nutritional, metabolic, and inflammatory variables.
UNASSIGNED: In male patients with CKD stages G3-G5 not treated with dialysis, ASM correlates significantly and positively with anthropometric and body composition parameters such as weight, height, BMI, LTM, LTI, fat mass, and FTI. We did not observe such relationship between ASM and kidney function, nutritional, metabolic, and inflammatory variables.

Radiotherapy (RT) is a standard treatment for head and neck cancer (HNC) and chemoradiotherapy (CRT) is indicated for patients with locally advanced disease. Toxicities during treatment are common and can lead to early cessation of chemotherapy and radiotherapy (RT) interruptions, which can affect oncologic outcomes. Skeletal muscle mass (SMM) is a new biomarker to predict toxicities and overall survival. The aim of this systematic review is to provide an overview of studies towards the associations between SMM and dose limiting toxicity (DLT) and/or RT interruptions in HNC patients. A systematic literature search was conducted and yielded 270 studies. Inclusion criteria were articles published in English that investigated the effect of low SMM measured in humans with HNC on toxicities during CRT or RT. Studies that did not investigate oral cavity, oropharynx, larynx, hypopharynx, nasopharynx cancers or carcinoma of unknown primary were excluded. This led to the inclusion of 22 original studies. The prevalence of low SMM ranged from 19.7 % to 74.7 %. SMM was often assessed by measuring the cross-sectional muscle area at the level of the third cervical vertebra on computed tomography scans. Cut-off values used to categorize patients in SMM groups varied. In the meta-analyses heterogeneity was moderate (I2 = 68 % and 50 % respectively). Patients with low SMM had higher, but only borderline significant, odds of DLT during CRT (OR 1.60; 95 % CI 1.00-2.58; p = 0.0512) and RT interruptions (OR 1.89; 95 % CI 1.00-3.57; p = 0.0510) compared to patients without low SMM. To conclude, in HNC patients low SMM, defined with different methods and cut-off values, is associated with DLT and RT interruptions during (C)RT, although the difference is only borderline statistically significant.

UNASSIGNED: Cushing\'s syndrome (CS) is associated with increased risk for heart failure, which often initially manifests as left ventricular diastolic dysfunction (LVDD). In this study, we aimed to explore the potential risk factors of LVDD in CS by incorporating body composition parameters.
UNASSIGNED: A retrospective study was conducted on patients diagnosed with endogenous CS no less than 18 years old. The control group consisted of healthy individuals who were matched to CS patients in terms of gender, age, and BMI. LIFEx software (version 7.3) was applied to measure epicardial adipose tissue volume (EATV) on non-contrast chest CT, as well as abdominal adipose tissue and skeletal muscle mass at the first lumbar vertebral level. Echocardiography was used to evaluate left ventricular (LV) diastolic function. Body compositions and clinical data were examined in relation to early LVDD.
UNASSIGNED: A total of 86 CS patients and 86 healthy controls were enrolled. EATV was significantly higher in CS patients compared to control subjects (150.33 cm3 [125.67, 189.41] vs 90.55 cm3 [66.80, 119.84], p < 0.001). CS patients had noticeably increased visceral fat but decreased skeletal muscle in comparison to their healthy counterparts. Higher prevalence of LVDD was found in CS patients based on LV diastolic function evaluated by E/A ratio (p < 0.001). EATV was proved to be an independent risk factor for LVDD in CS patients (OR = 1.015, 95%CI 1.003-1.026, p = 0.011). If the cut-point of EATV was set as 139.252 cm3 in CS patients, the diagnostic sensitivity and specificity of LVDD were 84.00% and 55.60%, respectively.
UNASSIGNED: CS was associated with marked accumulation of EAT and visceral fat, reduced skeletal muscle mass, and increased prevalence of LVDD. EATV was an independent risk factor for LVDD, suggesting the potential role of EAT in the development of LVDD in CS.
This study explored the potential risk factors of LVDD in endogenous CS by incorporating body composition parameters. EATV was identified as an independent risk factor for LVDD. Targeted therapeutic interventions to reduce excessive cortisol-induced EAT accumulation may be promising to mitigate the risk of LVDD development in patients with CS.