Li Pei-Ying, Li Nan-Xi, Zhang Bin
Tianjin Anding Hospital, ianjin Medical University, Tianjin, China.
The Mental Health College, Guangzhou Medical University, Guangdong, China.
Alpha Psychiatry. 2024 Jun 1;25(3):323-328. doi: 10.5152/alphapsychiatry.2024.231486. eCollection 2024 Jun.
Cognitive decline is a prevalent health problem in older adults, and effective treatments remain to be produced. Serum vitamin D, a commonly used biochemical marker, is widely recognized as an indicator of various diseases. Existing research has not fully elucidated the relationship between vitamin D and cognitive function. The aim of this study is to investigate the real relationship between vitamin D and cognitive function and to identify indicators that have a strong predictive effect on cognitive decline.
At first, we used the dataset of the genome-wide association studies studying vitamin D and cognitive performance to conduct Mendelian randomization analysis. Subsequently, we employed linear regression and smooth curve fitting methods to assess the relationship using the National Health and Nutrition Examination Survey data. Finally, we investigated other predictive features of cognitive performance utilizing a machine learning model.
We found that a 1-unit increase in vitamin D is associated with a 6.51% reduction ( < .001) in the risk of cognitive decline. The correlation between vitamin D and cognitive performance is nonlinear, with the inflection point at 79.9 nmol/L (left: = 0.043, < .001; right: = -0.007, = .420). In machine learning, the top 5 predictors are vitamin D, weight, height, age, and body mass index.
There is a causal relationship between vitamin D and cognitive performance. 79.9 nmol/L could be the optimal dose for vitamin D supplementation in the elderly. Further consideration of other factors in vitamin D interventions is necessary.
认知功能衰退是老年人中普遍存在的健康问题,目前仍缺乏有效的治疗方法。血清维生素D作为一种常用的生化标志物,被广泛认为是多种疾病的指标。现有研究尚未充分阐明维生素D与认知功能之间的关系。本研究旨在探讨维生素D与认知功能之间的真实关系,并确定对认知功能衰退具有较强预测作用的指标。
首先,我们使用了研究维生素D与认知表现的全基因组关联研究数据集进行孟德尔随机化分析。随后,我们采用线性回归和平滑曲线拟合方法,利用美国国家健康与营养检查调查数据评估两者之间的关系。最后,我们利用机器学习模型研究认知表现的其他预测特征。
我们发现维生素D每增加1个单位,认知功能衰退风险降低6.51%(<0.001)。维生素D与认知表现之间的相关性呈非线性,拐点为79.9 nmol/L(左侧:=0.043,<0.001;右侧:=-0.007,=0.420)。在机器学习中,前5个预测因素是维生素D、体重、身高、年龄和体重指数。
维生素D与认知表现之间存在因果关系。79.9 nmol/L可能是老年人补充维生素D的最佳剂量。在维生素D干预中进一步考虑其他因素是必要的。