UNASSIGNED: Muscle mass gradually declines with advancing age, and as an anti-aging protein, klotho may be associated with muscle mass. This study aims to explore the relationship between klotho levels and muscle mass in the middle-aged population.
UNASSIGNED: Utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 2011 to 2018, we conducted a cross-sectional analysis on a cohort of individuals aged 40-59. Weighted multivariable analysis was employed to assess the correlation between klotho and low muscle mass, with stratified and Restricted Cubic Spline (RCS) analyses.
UNASSIGNED: The cross-sectional investigation revealed a significant negative correlation between klotho levels and the risk of low muscle mass (Model 3: OR = 0.807, 95% CI: 0.712-0.915). A notable interaction between klotho and sex was observed, with a significant interaction effect (P for interaction = 0.01). The risk association was notably higher in females. The risk association was notably higher in females. Additionally, RCS analysis unveiled a significant linear relationship between klotho and low muscle mass (P for nonlinear = 0.9495, P for overall<0.0001).
UNASSIGNED: Our observational analysis revealed a noteworthy inverse relationship between klotho and low muscle mass, particularly prominent among female participants. This discovery provides crucial insights for the development of more effective intervention strategies and offers a new direction for enhancing muscle quality in the middle-aged population.

BACKGROUND: Having higher muscle mass in early adulthood is an important factor in preventing sarcopenia. However, university students undergo lifestyle changes compared to their high school years, which may lead to changes in body composition, such as an increase in body fat and a decrease in muscle mass. The study aimed to investigate the association between body composition and lifestyle behaviors, including chronotype, among Japanese female university students, due to the prevalence of underweight among young females in the country.
METHODS: The physical activity level (PAL), daily dietary intake status, morningness-eveningness questionnaire (MEQ) score, and body composition of 230 students were assessed in this cross-sectional study. Body composition was measured using a multifrequency bioelectrical impedance analyzer, and body mass index (BMI), body fat percentage (%BF), and skeletal muscle mass index (SMI) were determined.
RESULTS: Individuals who were evening type (ET) had a higher %BF and lower SMI than those who were non-ET, but no differences in body weight or BMI were found. Although ET individuals had lower total energy intake, protein intake, and PALs than non-ETs, the differences were small. However, multiple regression analyses showed that SMI was significantly positively associated with MEQ and PAL, and %BF was significantly negatively associated with MEQ and PAL.
CONCLUSIONS: These results suggest that female university students with lateness of chronotype and low physical activity have a body composition imbalance resulting in higher body fat and lower muscle mass. Therefore, young females may need to take chronotype-specific measures (especially ET individuals) to help them maintain an appropriate body composition.

UNASSIGNED: This study aimed to establish equations for estimating muscle mass through anthropometric parameters or together with physical function parameters in the community-dwelling older adults, providing a simple way of muscle mass assessment.
UNASSIGNED: In this cross-sectional descriptive study, a total of 1537 older adults were recruited from the community and accepted the measurements of height, weight, upper arm and calf circumferences, grip strength, and walking speed. Body composition including appendicular skeletal muscle mass (ASM) was measured using bioelectrical impedance analysis (BIA). Participants were randomly divided into the development or validation group. Stepwise multiple linear regression was applied to develop equations in the development group. Thereafter, Pearson correlation coefficients, Bland-Altman plots, paired t-test, intraclass correlation coefficient (ICC) and paired-samples t-tests were used to assess the validity of the equations.
UNASSIGNED: All parameters were significantly correlated with ASM (r = 0.195~0.795, P < 0.001) except for the age in the validation group (P = 0.746). The most optimal anthropometric equation was: [adjusted R2 = 0.911, standard error of the estimate (SEE) = 1.311, P < 0.001]. Comparatively speaking, this equation showed high correlation coefficient (r = 0.951, P < 0.001) and ICC (ICC = 0.950, P < 0.001). No significant differences were found between BIA-measured ASM and the estimated ASM. The Bland-Altman plot showed that the mean difference between the estimated ASM and BIA-measured ASM was 0 kg and the limits of agreement of ASM was -2.70~2.60 kg. Furthermore, inclusion of physical function did not significantly improve the adjusted R2 and SEE.
UNASSIGNED: The anthropometric equation offers a practical alternative simple and dependable method for estimating ASM in community-dwelling older adults.

OBJECTIVE: Low muscle mass is associated with advanced atherosclerosis. However, only very few studies on the elderly have investigated a dose-response relationship between muscle mass and atherosclerosis. Furthermore, whether the relationship between muscle mass and atherosclerosis is stronger than that between body mass index (BMI) and atherosclerosis among the elderly population remains to be determined.
METHODS: A community-based sample of apparently healthy elderlies (≥ 65 years) was cross-sectionally examined for the association between appendicular skeletal muscle mass (ASM) and brachial-ankle pulse wave velocity (baPWV), a measure of atherosclerosis. We categorized the participants according to sex-specific quintiles of the ASM index (ASM/height2) or BMI. Using multivariable linear regression, we compared the slope of one standard deviation higher ASM index for baPWV with the corresponding slope of BMI, separately (single-index model) and jointly (simltaneously-adjusted model).
RESULTS: The ASM index and BMI of a total of 995 participants (60.0% women, mean age 73 years) were significantly inversely associated with baPWV in a dose-response manner across the quintiles in both sexes. The slope for the ASM index tended to be greater than that for BMI in the single-index and simultaneously-adjusted models in both sexes after adjusting for confounders.
CONCLUSIONS: Among a community-dwelling elderly population, the association between ASM and baPWV was stronger than, and independent of that between BMI and baPWV. These findings suggest that ASM provides more important information on atherosclerosis in the elderly than BMI does.

Inflammation is a chronic, sterile, low-grade inflammation that develops with advanced age in the absence of overt infection and may contribute to the pathophysiology of sarcopenia, a progressive and generalized skeletal muscle disorder. Furthermore, a series of biomarkers linked to sarcopenia occurrence have emerged. To aid diagnostic and treatment strategies for low muscle mass in sarcopenia and other related conditions, the objective of this work was to investigate potential biomarkers associated with appendicular lean mass in community-dwelling older women. This is a cross-sectional study with 71 older women (75 ± 7 years). Dual-energy X-ray absorptiometry was used to assess body composition. Plasmatic blood levels of adipokines (i.e., adiponectin, leptin, and resistin), tumor necrosis factor (TNF) and soluble receptors (sTNFr1 and sTNFr2), interferon (INF), brain-derived neurotrophic factor (BDNF), and interleukins (IL-2, IL-4, IL-5, IL-6, IL-8, and IL-10) were determined by enzyme-linked immunosorbent assay. Older women with low muscle mass showed higher plasma levels of adiponectin, sTNFr1, and IL-8 compared to the regular muscle mass group. In addition, higher adiponectin plasma levels explained 14% of the lower appendicular lean mass. High adiponectin plasmatic blood levels can contribute to lower appendicular lean mass in older, community-dwelling women.

Sarcopenia is emerging as a severe complication in type 2 diabetes (T2DM). On the other hand, it has been documented that nutritional aspects, such as insufficient protein or total energy intake, increase sarcopenia risk. The analysis of body composition is a relevant approach to assess nutritional status, and different techniques are available. Among such techniques, bioelectrical impedance analysis (BIA) is particularly interesting, since it is non-invasive, simple, and less expensive than the other techniques. Therefore, we conducted a review study to analyze the studies using BIA for body composition analysis in T2DM patients with sarcopenia or at risk of catching it. Revised studies have provided important information concerning relationships between body composition parameters (mainly muscle mass) and other aspects of T2DM patients\' conditions, including different comorbidities, and information on how to avoid muscle mass deterioration. Such relevant findings suggest that BIA can be considered appropriate for body composition analysis in T2DM complicated by sarcopenia/muscle loss. The wide size of the patients\' cohort in many studies confirms that BIA is convenient for clinical applications. However, studies with a specific focus on the validation of BIA, in the peculiar population of patients with T2DM complicated by sarcopenia, should be considered.

Quality of life (QOL) was assessed using the EQ-5D twice in 1 year in 57 older community-dwelling people (age 79.1±5.9 years) with mild cognitive impairment in a memory clinic. Screening for sarcopenia at the initial assessment revealed 40.1% of participants (23/57) were sarcopenic. QOL declined in 33.3% of participants (19/57) after around 1 year. Multiple logistic regression analysis showed that sarcopenia was associated with a decline in QOL around 1 year after initial assessment. Sarcopenia may be a risk factor for decline in QOL in older people with mild cognitive impairment.

Frailty is a significant public health and clinical issue among the elder population. This study aimed to evaluate the nutritional status and renal function in relation to frailty among elderly Taiwanese.
We administered community-based health surveys to the elder population in Chiayi County, Taiwan, from 2017 to 2019.
We measured nutritional status (including serum albumin and total protein levels), renal function (including serum blood urea nitrogen, creatinine, urine protein, and urine creatinine levels), hand grip strength (GS) and calculated appendicular muscle mass (AMM).
The study recruited 3739 participants (2139 women). Participants of both sexes with normal GS had higher serum albumin levels and lower urine protein/creatinine ratios (UPCRs). For the men with normal and weak GS, serum albumin levels were 4.15 ± 0.2 and 4.10 ± 0.2 g/dL (p < 0.01), and UPCRs were 123.1 ± 219.6 and 188.7 ± 366.2 (p < 0.001), respectively. GS was positively correlated with serum albumin and urine creatinine levels (r = 0.136 and 0.177, both p < 0.001). AMM was also positively correlated with serum albumin and urine creatinine levels (r = 0.078 and 0.091, both p < 0.001). In the multivariate regression model, for every 1 g/dL increase in serum albumin level, there was a 1.9 and 1.7-kg increase in GS for men and women (p < 0.05 and p < 0.01), respectively. The final model for predicting GS included age, albumin, BUN, and UPCR (urine creatinine for women) which presented a variance of 22.1% and 13.8%, respectively.
Proper dietary nutritional intake and maintaining renal function are key elements for preventing frailty among elder population in Taiwan.

OBJECTIVE: This study aims to investigate the association between skeletal muscle mass index (SMI) and physical activity among female university students who had exercise habituation in junior and high school.
METHODS: The body composition of 120 Japanese female students was measured using the bioelectrical impedance analysis (BIA) method, and their physical activity level (PAL) was measured using a factorial method. Based on the \'Dietary Reference Intakes for Japanese\' (DRIs-J), according to the Ministry of Health, Labour and Welfare, PAL (24-h energy consumption/basal metabolic rate) classifications were defined as low-PAL (PAL < 1.6), moderate-PAL (1.6 ≤ PAL < 1.9), and high-PAL (1.9 ≤ PAL < 2.2), respectively.
RESULTS: Individuals with low-PAL had a significantly lower SMI, especially for the lower limb muscles, than individuals with moderate-PAL or higher. More than 50% of the individuals with currently low-PAL corresponded or tended to correspond to the SMI cut-off value defined by the Asian Working Group for Sarcopenia or the 2017 National Health and Nutrition Survey of Japan. Therefore, more than half of the female students with currently low-PAL, even those with an exercise habituation in the past, corresponded to the cut-off value for muscle loss in sarcopenia diagnosis, particularly in the lower limbs.
CONCLUSIONS: These results suggest that it is important to maintain a moderate or higher level of physical activity in the DRIs-J classification, even for young women who used to exercise in the past, to maintain muscle mass accordingly.

BACKGROUND: The European Working Group on Sarcopenia in Older People (EWGSOP) published a consensus on sarcopenia in 2010 and updated it in 2019 (EWGSOP2) which included the use of specific cut-off points. The aim was to assess how much prevalence of sarcopenia differed between EWGSOP2 and EWGSOP, as well as the use of specific cut-off points to assess differences in presarcopenia versus probable sarcopenia.
METHODS: Observational, transversal, and comparative study (n = 1,283 older adults; 57% women). Anthropometrics and handgrip strength were measured, and appendicular skeletal muscle mass equation was defined. Conceptual and methodological definitions of EWGSOP and EWGSOP2 consensus were applied to calculate prevalence of presarcopenia, probable sarcopenia, and sarcopenia.
RESULTS: Using cut-off points recommended for European population, prevalence of sarcopenia with EWGSOP2 was lower (-6.6%; p < 0.001) than EWGSOP. The prevalence of probable sarcopenia (EWGSOP2) was higher (+7.8%; p < 0.001) than EWGSOP presarcopenia. The agreement between EGWGSOP and EWGSOP2 was moderated (K = 0.45; IC = 0.40-0.51). Using specific-population cut-off points for muscle strength and appendicular muscle mass, the prevalence of probable sarcopenia with EWGSOP2 was higher (46.5%; p < 0.001) than EWGSOP (1.8%). The agreement between EGWGSOP and EWGSOP2 was moderated (K = 0.48; IC = 0.42-0.52).
CONCLUSIONS: The new EWGSOP2 consensus underestimates the prevalence of sarcopenia, compared with EWGSOP using conventional cut-off points. The prevalence of presarcopenia with EWGSOP (low muscle mass) was lower than probable sarcopenia (low muscle strength) with the new EWGSOP2. In both cases, agreements between EWGSOP2 and EWGSOP were moderated. Discrepancies between the original and new consensus have implications on the primary health setting for identifying old and new cases for prevention and treatment.