Wang Zehao, Cheng Cheng, Duan Huilian, Chen Xukun, Li Wen, Ma Fei, Li Zhenshu, Yan Jing, He Ruikun, Li Zhongxia, Yang Mengtong, Huang Zhenghua, Chen Yongjie, Huang Guowei
Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, 300070, China.
Eur J Nutr. 2025 Mar 6;64(3):111. doi: 10.1007/s00394-025-03629-6.
Adequate micronutrients play a crucial role in cognitive health. Identifying relevant micronutrients and constructing risk prediction models can guide the prevention of mild cognitive impairment (MCI) in older adults. This study aimed to assess the associations of MCI with whole blood micronutrient levels and develop a nomogram for personalized MCI risk prediction in older adults.
In the matched case-control study, 100 MCI patients and 100 matched controls by age, sex and education from Baodi District, Tianjin, China were recruited. MCI was determined by a modified version of the Petersen criteria. Whole blood levels of 9 vitamins and 5 minerals were measured using the dried blood spot technique. Weighted quantile sum regression was employed to identify the most significant micronutrients associated with cognitive function. Receiver operating characteristic (ROC) curves were constructed, and a nomogram for predicting MCI risk was developed.
High levels of vitamins (vitamin A, vitamin B, vitamin B, vitamin B) and minerals (magnesium, selenium) were significantly associated with lower MCI prevalence, in which vitamin B, vitamin B and selenium were ranked as the most significant contributors to cognitive function. The ROC curves for vitamin B and vitamin B (area under the curve = 0.855) have superior diagnostic accuracy compared to individual assessments (p < 0.05). Based on these findings, a nomogram was developed using these two micronutrients to predict MCI risk.
The nomogram based on vitamin B and vitamin B can be effectively used to detect MCI early and guide preventive strategies in older adults.
充足的微量营养素在认知健康中起着至关重要的作用。识别相关微量营养素并构建风险预测模型可指导老年人轻度认知障碍(MCI)的预防。本研究旨在评估MCI与全血微量营养素水平的关联,并开发一种列线图用于老年人个性化MCI风险预测。
在这项匹配病例对照研究中,从中国天津市宝坻区招募了100例MCI患者和100例年龄、性别和教育程度相匹配的对照。MCI由改良版的彼得森标准确定。使用干血斑技术测量9种维生素和5种矿物质的全血水平。采用加权分位数和回归来识别与认知功能最相关的微量营养素。构建受试者工作特征(ROC)曲线,并开发用于预测MCI风险的列线图。
高水平的维生素(维生素A、维生素B、维生素B、维生素B)和矿物质(镁、硒)与较低的MCI患病率显著相关,其中维生素B、维生素B和硒是对认知功能影响最显著的因素。维生素B和维生素B的ROC曲线(曲线下面积 = 0.855)与个体评估相比具有更高的诊断准确性(p < 0.05)。基于这些发现,利用这两种微量营养素开发了一种列线图来预测MCI风险。
基于维生素B和维生素B的列线图可有效用于早期检测MCI并指导老年人的预防策略。