Wang Zhu-Zhu, Xu Qin, Zhang Yu-Han, Wu Rong-Rong, Cui Jun-Ling, Zhou Ji, Hong Jing-Fang
The First Affiliated Hospital of Anhui Medical University, No, 218 Ji Xi Road, Shu Shan District, Hefei City, Anhui Province, 230022, China.
School of Nursing, Anhui Medical University, No. 81 Mei Shan Road, Shu Shan District, Hefei City, Anhui Province, 230032, China.
Nutr Metab (Lond). 2025 Mar 11;22(1):23. doi: 10.1186/s12986-025-00914-3.
Sarcopenia and obesity, two prevalent health conditions, often coexist and exacerbate each other's impact, increasing the risk of chronic diseases and mortality. This dual condition is termed "sarcopenic obesity." The correlation between oxidative stress (OS) and sarcopenia or obesity was established, and the oxidative balance score (OBS) can serve as an indicator of overall dietary or lifestyle-related OS exposure within an individual. Prior reports have not addressed the relationship between OBS and sarcopenia or sarcopenic obesity in adults under 60. This study endeavors to explore these associations and to identify potential dietary and lifestyle risk factors.
We performed a cross-sectional analysis utilizing data from 4,241 participants in the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018. OBS is a cumulative score derived from 16 dietary components and 4 lifestyle components, where higher scores indicate greater exposure to antioxidants and lower exposure to pro-oxidant factors, reflecting a reduced oxidative stress burden. Weighted multivariate logistic regression was employed to investigate the association of OBS and sarcopenia and sarcopenic obesity. Further subgroup analyses was conducted to examine interactions with various covariates. The least absolute shrinkage and selection operator (LASSO) regression was applied to identify significant components of OBS associated with sarcopenia and sarcopenic obesity, which were subsequently integrated into a risk prediction nomogram model. The model's predictive accuracy was evaluated using the receiver operating characteristic (ROC) curve.
After adjusting for potential confounders, the weighted logistic regression analyses demonstrated a significant negative association between OBS and the prevalence of sarcopenia (odds ratio [OR] = 0.954, 95% confidence interval [CI] = 0.925-0.984, P = 0.004) and sarcopenic obesity (OR = 0.948, 95% CI = 0.918-0.980, P = 0.002). The nomogram models, informed by key OBS components identified through LASSO regression, exhibited considerable predictive value for sarcopenia (area under the ROC curve [AUC] = 0.813, 95% CI = 0.792-0.833) and sarcopenic obesity (AUC = 0.894, 95% CI = 0.879-0.909).
This study reveals a robust inverse correlation between OBS and both sarcopenia and sarcopenic obesity in adults aged 20-59. These results suggest that an antioxidant-rich diet and healthy lifestyle practices, including low-fat diets, adequate vitamin B intake, regular physical activity, and weight management, may help mitigate the risk of sarcopenia and sarcopenic obesity. Further research is warranted to confirm these associations and determine causality.
肌肉减少症和肥胖症是两种常见的健康状况,它们常常同时存在并相互加剧影响,增加了患慢性病和死亡的风险。这种双重状况被称为“肌少症性肥胖”。氧化应激(OS)与肌肉减少症或肥胖症之间的相关性已得到证实,氧化平衡评分(OBS)可作为个体总体饮食或生活方式相关的OS暴露指标。先前的报告尚未涉及60岁以下成年人中OBS与肌肉减少症或肌少症性肥胖之间的关系。本研究旨在探讨这些关联,并确定潜在的饮食和生活方式风险因素。
我们利用2011年至2018年美国国家健康与营养检查调查(NHANES)中4241名参与者的数据进行了横断面分析。OBS是一个由16种饮食成分和4种生活方式成分得出的累积评分,分数越高表明抗氧化剂暴露量越高,促氧化因素暴露量越低,反映出氧化应激负担减轻。采用加权多因素逻辑回归来研究OBS与肌肉减少症和肌少症性肥胖的关联。进行了进一步的亚组分析以检验与各种协变量的相互作用。应用最小绝对收缩和选择算子(LASSO)回归来识别与肌肉减少症和肌少症性肥胖相关的OBS的重要成分,随后将这些成分整合到一个风险预测列线图模型中。使用受试者工作特征(ROC)曲线评估该模型的预测准确性。
在调整潜在混杂因素后,加权逻辑回归分析显示OBS与肌肉减少症患病率之间存在显著负相关(比值比[OR] = 0.954,95%置信区间[CI] = 0.925 - 0.984,P = 0.004)以及与肌少症性肥胖之间存在显著负相关(OR = 0.948,95% CI = 0.918 - 0.980,P = 0.002)。由通过LASSO回归确定的关键OBS成分构建的列线图模型对肌肉减少症(ROC曲线下面积[AUC] = 0.813,95% CI = 0.792 - 0.833)和肌少症性肥胖(AUC = 0.894,95% CI = 0.879 - 0.909)具有相当大的预测价值。
本研究揭示了20 - 59岁成年人中OBS与肌肉减少症和肌少症性肥胖之间存在强烈的负相关。这些结果表明,富含抗氧化剂的饮食以及健康的生活方式,包括低脂饮食、充足的维生素B摄入、定期体育活动和体重管理,可能有助于降低肌肉减少症和肌少症性肥胖的风险。有必要进行进一步的研究以证实这些关联并确定因果关系。