Liu Li, Ding Xueman, Zhang Yue, Li Tingting, Xu Panpan, Ma Yue, Xing Hengrui, Niu Qiang, Keerman Mulatibieke
Department of Preventive Medicine, School of Medicine, Shihezi University, North 2th Road, Shihezi, 832000, Xinjiang, People's Republic of China.
Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, the Xinjiang Production and Construction Corps, Shihezi, Xinjiang, People's Republic of China.
BMC Public Health. 2024 Dec 4;24(1):3372. doi: 10.1186/s12889-024-20897-9.
The relationship between serum concentrations of different or multiple vitamins and sarcopenia remains underexplored. This investigation evaluates potential links between serum concentrations of different or multiple vitamins and sarcopenia prevalence among adults in the United States.
Utilizing a cross-sectional design, this research draws from the National Health and Nutrition Examination Survey (NHANES) dataset of 2003-2006, encompassing 5,060 participants with comprehensive serum vitamin A, E, B9, B12, C, and D concentrations, alongside sarcopenia and covariate measurements. Participant stratification into distinct vitamin co-exposure clusters was achieved through K-means clustering. Analytical models, including weighted logistic regression, restricted cubic splines (RCS), weighted quantile sum regression (WQS), quantile g-computation (Q-gcomp), and Bayesian kernel machine regression (BKMR), were employed to evaluate the association between serum concentrations of different or multiple vitamins and sarcopenia risk, with an emphasis on nonlinearity.
In this study, sarcopenia was detected in 681 individuals (13.46%). Logistic regression results did not demonstrate any linear association between individual vitamin levels and sarcopenia risk (P > 0.05). Contrastingly, the RCS model unveiled significant non-linear relationships for vitamins A and D (P_non-linear < 0.05). The K-means clustering results showed that participants in high-level vitamin exposure group had lower sarcopenia risk compared with those in low-level vitamin exposure group (OR (95% CI): 0.582 (0.397, 0.852)). Additionally, higher serum concentrations of different or multiple vitamins correlated inversely with sarcopenia risk (P_trend = 0.002). This inverse association was corroborated by WQS, Q-gcomp, and theBKMR models and remained consistent upon sensitivity analysis.
This study elucidates an inverse correlation between serum concentrations of different or multiple vitamins and sarcopenia risk, emphasizing a non-linear association, particularly with suboptimal vitamin D concentrations. Given the limitations of the NHANES study, further researches are required to clarify the existence of these relationships.
不同或多种维生素的血清浓度与肌肉减少症之间的关系仍未得到充分研究。本调查评估了美国成年人中不同或多种维生素的血清浓度与肌肉减少症患病率之间的潜在联系。
本研究采用横断面设计，数据来源于2003 - 2006年的美国国家健康与营养检查调查（NHANES）数据集，涵盖5060名参与者，他们有全面的血清维生素A、E、B9、B12、C和D浓度数据，以及肌肉减少症和协变量测量值。通过K均值聚类将参与者分层为不同的维生素共同暴露组。使用了包括加权逻辑回归、受限立方样条（RCS）、加权分位数和回归（WQS）、分位数g计算（Q - gcomp）和贝叶斯核机器回归（BKMR）在内的分析模型，以评估不同或多种维生素的血清浓度与肌肉减少症风险之间的关联，重点关注非线性关系。
在本研究中，681名个体（13.46%）被检测出患有肌肉减少症。逻辑回归结果未显示个体维生素水平与肌肉减少症风险之间存在任何线性关联（P > 0.05）。相反，RCS模型揭示了维生素A和D存在显著的非线性关系（P_非线性 < 0.05）。K均值聚类结果表明，高维生素暴露组的参与者与低维生素暴露组相比，肌肉减少症风险更低（OR（95% CI）：0.582（0.397，0.852））。此外，不同或多种维生素的血清浓度越高，与肌肉减少症风险呈负相关（P_趋势 = 0.002）。WQS、Q - gcomp和BKMR模型证实了这种负相关，并且在敏感性分析后仍然一致。
本研究阐明了不同或多种维生素的血清浓度与肌肉减少症风险之间的负相关关系，强调了非线性关联，特别是与维生素D浓度不足的情况。鉴于NHANES研究的局限性，需要进一步研究以明确这些关系的存在。
