Zou Haiyu, Zheng Liangrong, Zeng Chunlai
School of Medicine, Zhejiang University, Hangzhou 310000, China.
Nutrients. 2025 Feb 28;17(5):858. doi: 10.3390/nu17050858.
: We aimed to evaluate the effects of both joint and individual types of fatty acids on low muscle mass in adults. : We enrolled 8842 adults selected from the National Health and Nutrition Examination Survey (NHANES). Multivariate adjusted weighted logistic regression models were employed to evaluate the connection between fatty acids and low muscle mass. We used restricted cubic splines (RCSs) to determine whether the relationship is linear or non-linear, while stratified analyses and interaction effects were also assessed. Weighted quantile sum (WQS) analysis assessed the impact of joint and individual types of fatty acids on low muscle mass. Additionally, mediation analysis determined the direct and indirect implications of polyunsaturated fatty acids on low muscle mass. : A total of 8842 participants were included in this study, of which 705 were identified as having low muscle mass. The logistic regression analyses identified a significant linear correlation between all three types of fatty acids and low-muscle-mass risk. Additionally, the WQS analysis demonstrated that a fatty acid mixture was inversely associated with low-muscle-mass risk, with polyunsaturated fatty acids being recognized as the principal component. Moreover, inflammation may mediate the relationship between polyunsaturated fatty acids and low muscle mass, accounting for 3.75% of the effect size ( < 0.001) through white blood cell count. We further examined linoleic acid (LA) and alpha-linolenic acid (ALA), and each unit increase in LA and ALA intake was linked to a decrease in low-muscle-mass risk by 0.29 (95% CI: 0.64-0.79, < 0.001) and 0.27 (95% CI: 0.66-0.81, < 0.001), respectively. : These findings indicate that polyunsaturated fatty acids (especially LA and ALA) may effectively mitigate low-muscle-mass risk.
我们旨在评估联合摄入和单独摄入不同类型脂肪酸对成年人低肌肉量的影响。我们选取了来自美国国家健康与营养检查调查(NHANES)的8842名成年人。采用多变量调整加权逻辑回归模型来评估脂肪酸与低肌肉量之间的联系。我们使用受限立方样条(RCSs)来确定这种关系是线性还是非线性的,同时还进行了分层分析和交互作用评估。加权分位数和(WQS)分析评估了联合摄入和单独摄入不同类型脂肪酸对低肌肉量的影响。此外,中介分析确定了多不饱和脂肪酸对低肌肉量的直接和间接影响。本研究共纳入8842名参与者,其中705人被确定为低肌肉量。逻辑回归分析表明,所有三种类型的脂肪酸与低肌肉量风险之间均存在显著的线性相关性。此外,WQS分析表明,脂肪酸混合物与低肌肉量风险呈负相关,其中多不饱和脂肪酸被认为是主要成分。此外,炎症可能介导多不饱和脂肪酸与低肌肉量之间的关系,通过白细胞计数占效应量的3.75%(P<0.001)。我们进一步研究了亚油酸(LA)和α-亚麻酸(ALA),LA和ALA摄入量每增加一个单位,低肌肉量风险分别降低0.29(95%CI:0.64-0.79,P<0.001)和0.27(95%CI:0.66-0.81,P<0.001)。这些研究结果表明,多不饱和脂肪酸(尤其是LA和ALA)可能有效降低低肌肉量风险。