Wu He, Chen Xiyi, Shi Zhengqing, Liu Jieyu, Meng Ziqi, Zheng Chenguo, Zhou Chongjun
Department of Emergency, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Department of Cardiovascular and Thoracic Surgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Front Nutr. 2024 Sep 2;11:1428856. doi: 10.3389/fnut.2024.1428856. eCollection 2024.
This study aimed to examine the associations of the Composite Dietary Antioxidant Index (CDAI) with sarcopenic obesity (SO) using the National Health and Nutrition Examination Survey (NHANES) database.
Data were gathered from NHANES between 2001 and 2004. To examine the relationship between CDAI and the occurrence of SO, multiple logistic regression analyses were performed. Subgroup analyses were performed to demonstrate the stability of the results. Restricted cubic splines were utilized to examine the non-linear correlations.
A total of 2,333 elderly individuals were included in the study. In the multivariate logistic regression crude model, we revealed an odds ratio (OR) of 0.928 [95% confidence interval (CI), 0.891-0.965, < 0.001] for the correlation between CDAI and SO. The ORs were 0.626 (95% CI, 0.463-0.842) and 0.487 (95% CI, 0.354-0.667) for CDAI tertiles 2 and 3, respectively ( for trend <0.001), after full adjustment. The subgroup analysis findings demonstrated a reliable and enduring connection between CDAI and SO across various subgroups. However, the strength of the correlation between CDAI and SO was significantly affected by diabetes ( for interaction = 0.027). Moreover, restricted cubic spline analysis revealed an L-shaped relationship.
The present study identified an L-shaped correlation between CDAI and SO in elderly participants' demographics. The implications of these findings were significant for future studies and the formulation of dietary guidelines.
本研究旨在利用美国国家健康与营养检查调查（NHANES）数据库，探讨复合膳食抗氧化指数（CDAI）与肌少症肥胖（SO）之间的关联。
收集了2001年至2004年期间NHANES的数据。为了研究CDAI与SO发生之间的关系，进行了多项逻辑回归分析。进行亚组分析以证明结果的稳定性。使用受限立方样条来检验非线性相关性。
本研究共纳入2333名老年人。在多变量逻辑回归粗模型中，我们发现CDAI与SO之间的相关性的比值比（OR）为0.928[95%置信区间（CI），0.891 - 0.965，<0.001]。在完全调整后，CDAI第二和第三三分位数的OR分别为0.626（95%CI，0.463 - 0.842）和0.487（95%CI，0.354 - 0.667）（趋势<0.001）。亚组分析结果表明，在各个亚组中CDAI与SO之间存在可靠且持久的联系。然而，CDAI与SO之间的相关性强度受到糖尿病的显著影响（交互作用=0.027）。此外，受限立方样条分析显示呈L形关系。
本研究在老年参与者的人口统计学特征中发现CDAI与SO之间呈L形相关性。这些发现对未来研究和饮食指南的制定具有重要意义。
