Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
BYHEALTH Institute of Nutrition & Health, Guangzhou 510663, China.
Nutrients. 2024 Sep 29;16(19):3306. doi: 10.3390/nu16193306.
The physical abilities of older adults decline with age, making them more susceptible to micronutrient deficiency, which may affect their sleep quality.
This study aimed to construct a risk correlative model for sleep disorders in Chinese older adults based on blood micronutrient levels.
In this matched case-control study, we recruited 124 participants with sleep disorders and 124 matched controls from the Tianjin Elderly Nutrition and Cognition cohort in China. Micronutrient levels in whole blood were measured using the dried blood spot technique. We compared the differences in micronutrient levels between the two groups and also constructed a receiver operating characteristic (ROC) model and nomogram for sleep disorders.
In comparison to the control group, the sleep disorders group showed lower levels of blood vitamin A, vitamin E (VE), folate, magnesium, copper, iron, and selenium (Se) in the univariate analysis ( < 0.05). The ROC curve analysis indicated that the combination of VE + folate + Se may have an excellent diagnostic effect on sleep disorders, with an area under the curve of 0.964. This VE + folate + Se was integrated into a nomogram model to demonstrate their relationship with sleep disorders. The consistency index of the model was 0.88, suggesting that the model assessed sleep disorders well.
The sleep disorders risk correlative model constructed by the levels of VE, folate, and Se in whole blood might show good performance in assessing the risk of sleep disorders in older adults.
老年人的身体机能会随着年龄的增长而下降，更容易出现微量营养素缺乏，从而可能影响他们的睡眠质量。
本研究旨在构建基于血液微量营养素水平的中国老年人睡眠障碍风险相关模型。
在这项匹配病例对照研究中，我们从中国天津老年营养与认知队列中招募了 124 名睡眠障碍患者和 124 名匹配对照。采用干血斑技术检测全血中的微量营养素水平。我们比较了两组间微量营养素水平的差异，同时构建了睡眠障碍的受试者工作特征（ROC）曲线模型和列线图。
与对照组相比，睡眠障碍组在单因素分析中显示血液维生素 A、维生素 E（VE）、叶酸、镁、铜、铁和硒（Se）水平较低（ < 0.05）。ROC 曲线分析表明，VE+叶酸+Se 联合可能对睡眠障碍具有极好的诊断效果，曲线下面积为 0.964。将 VE+叶酸+Se 纳入列线图模型，以展示它们与睡眠障碍的关系。模型的一致性指数为 0.88，表明该模型能很好地评估睡眠障碍。
基于全血 VE、叶酸和 Se 水平构建的睡眠障碍风险相关模型可能在评估老年人睡眠障碍风险方面表现良好。
