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Background: Previous studies have established a correlation between the pathogenesis of oxidative stress and sarcopenia. The Oxidative Balance Score (OBS) is an integrated measure that reflects the overall balance of antioxidants and pro-oxidants in dietary components and lifestyle. However, there are limited reports on the association between OBS and lean mass and the impact of protein intake on the association between OBS and lean mass., Methods: Using data from the National Health and Nutrition Examination Survey from 2011 to 2018, multivariate linear and logistic regression analyses were conducted to explore the associations between OBS and outcomes. The findings were then illustrated through fitted smoothing curves and threshold effect analyses., Results: This study included 2,441 participants, demonstrating that higher OBS is significantly associated with an increased ratio of appendicular lean mass to body mass index. Key inflection points at OBS 31 mark pronounced changes in these associations, with age and protein intake notably affecting the association. The effect of OBS on lean mass varies among populations with high and low protein intake., Conclusions: Our findings suggest that OBS is significantly and positively associated with lean mass. A high protein intake of more than 84.5 g/day may enhance the role of OBS in influencing muscle health to improve muscle outcomes., (© 2024. The Author(s).)

Background and Aims: Previous studies have shown that sarcopenic obesity (SO) was associated with nonalcoholic fatty liver disease (NAFLD). However, research is limited in the context of the NAFLD renamed as metabolic dysfunction-associated steatotic liver disease (MASLD) defined by updated diagnostic criteria. The aim of this study was to use the index skeletal muscle mass to visceral fat area ratio (SVR) to describe SO in a large and representative US population (National Health and Nutrition Examination Survey 2017-2018) of adults and investigate their association with MASLD., Methods: A total of 2087 individuals were included in the analysis. SVR was calculated according to the measurement of dual-energy x-ray absorptiometry and MASLD was diagnosed with controlled attenuation parameter scores and cardiometabolic risk factors. SVR was divided into tertiles. Logistic regression adjusted for confounders was used to evaluate the association between SVR and MASLD. Several sensitivity analyses were performed to test the robustness of our findings., Results: In a multivariate logistic regression analysis, a significant association between SVR and MASLD was shown (odds ratio [OR]: 3.11, 95% confidence interval [CI]: 1.31-7.39, p = .010 for middle levels of SVR; OR: 3.82, 95% CI: 1.45-10.08, p = .007 for lowest levels of SVR). The sensitivity analyses confirmed that the association was robust., Conclusion: Our findings imply that decreased SVR is linked to MASLD., (© 2024 The Authors. Journal of Diabetes published by Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd.)

The Foundation for the National Institutes of Health Sarcopenia Project validated cutpoints for appendicular lean mass (ALM) to identify individuals with functional impairment. We hypothesized that the prevalence of sarcopenia and sarcopenic obesity would be similar based on the different Foundation for the National Institutes of Health criteria, increase with age, and be associated with risk of impairment limitations. We identified 4984 subjects at least 60 years of age from the National Health and Nutrition Examination Surveys 1999-2004. Sarcopenia was defined using ALM (men <19.75 kg, women <15.02 kg) and ALM adjusted for body mass index (BMI; men <0.789 kg/m2, women <0.512 kg/m2). Sarcopenic obesity is defined as subjects fulfilling the criteria for sarcopenia and obesity by body fat (men ≥25%, women ≥35%). Prevalence rates of both sarcopenia and sarcopenic obesity were evaluated with respect to sex, age category (60-69, 70-79, and >80 years) and race. We assessed the association of physical limitations, basic and instrumental activities of daily living and sarcopenia status. The mean age was 70.5 years in men and 71.6 years in women. Half (50.8%; n = 2531) were female, and mean BMI was 28 kg/m2 in both sexes. Appendicular lean mass was higher in men than in women (24.1 vs. 16.3; P < .001), but fat mass was lower (30.9 vs. 42.0; P < .001). In men, sarcopenia prevalence was 16.0% and 27.8% using the ALM and ALM/BMI criteria. In women, prevalence was 40.5% and 19.3% using the ALM and ALM/BMI criteria. Sarcopenia was associated with a 1.10 (0.86-1.41) and 0.93 (0.74-1.16), and 1.46 (1.10-1.94), and 2.13 (1.41-3.20) risk of physical limitations using the ALM and ALM/BMI definitions in men and women, respectively. Prevalence of sarcopenia and sarcopenic obesity varies greatly, and a uniform definition is needed to identify and characterize these high-risk populations., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Age associated increases in visceral adiposity and decreases in muscle mass (sarcopenia) have been shown to contribute to disability in late life. Furthermore, there is evidence that obesity-related physiological states, such as insulin resistance and systemic inflammation, may exacerbate physical functioning problems. Both conditions have been shown to prompt hypercatabolism and impair the anabolic effect of muscles, ultimately stimulating protein breakdown and suppressing muscle synthesis. This cross-sectional study investigates whether insulin resistance and inflammation partially account for the associations between decreased physical functioning and sarcopenic obesity. Subjects include 2,287 males and females aged 60 and older without diagnosed diabetes from the National Health and Nutrition Examination Survey (NHANES 1999-2004). Body composition measurements indicating waist circumference and appendicular skeletal muscle mass, measured by dual-energy X-ray absorptiometry (DXA), were used to construct four body composition categories--healthy, sarcopenic nonobese, nonsarcopenic obese, and sarcopenic obese. Physical functioning was measured using self-reports of difficulty performing six activities. The homeostasis model assessment (IR(HOMA)) was used to measure insulin resistance, while inflammatory state was assessed through measurement of serum C-reactive protein (CRP). Modified Poisson regression models were used to examine the association between physical functioning and body composition, and to evaluate whether differences in insulin resistance or inflammation partially explained this relationship. In the analysis, we controlled for possible confounders such as age, education, sex, height, and race/ethnicity. Findings suggest that physical functioning problems are increased in those with sarcopenic obesity, sarcopenic nonobesity and nonsarcopenic obesity. Furthermore, these associations may be influenced by differences in insulin resistance among different body composition phenotypes.