The association between Alzheimer's disease and constitution classification of traditional medicine
10.3760/cma.j.cn371468-20211211-00721
- VernacularTitle:中医体质类型与阿尔茨海默病关系的研究
- Author:
Lidan WANG
1
;
Keke LIU
;
Yongxiang WANG
;
Tingting HOU
;
Xianda ZHANG
;
Zhonglin ZHANG
;
Lin CONG
;
Yifeng DU
Author Information
1. 山东大学附属省立医院神经内科，济南 250021
- Keywords:
Alzheimer's disease;
Constitutional types of Chinese medicine;
Qi-depression type;
MIND-China cohort
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2022;31(6):541-547
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the relationship between constitutional types of Chinese medicine and Alzheimer's disease (AD) and to construct an early warning model for AD risk.Methods:In the established multimodal interventions to delay dementia and disability in rural China (MIND-China) study, 4 033 elderly subjects aged ≥60 years old were included. The data including demographic, underlying disease and neuropsychological data were collected.The Chinese medicine service record form for the elderly was used to assess constitutional types of Chinese medicine and to apply the NIA-AA diagnostic criteria published by the National Institute on Aging and the Alzheimer's Association in 2011 for the diagnosis of clinically likely AD. Logistic regression analysis and AD risk prediction models were constructed using R statistical software, and the final prediction results were presented using columnar plots.Results:The MIND-China cohort was dominated by the abnormal constitution (69.28%), of which Phlegm-wetness type was the most common (58.05%), followed by Yang-deficiency type (23.85%). The most constitutional type of Chinese medicine among AD patients was Phlegm-wetness type (54.35%), followed by Qi-depression type (38.04%). Multi-factorial logistic regression analysis suggested that increasing age ( β=0.101, P<0.001, OR=1.107, 95% CI=1.069-1.146) and Qi-depression type ( β=0.622, P=0.016, OR=1.862, 95% CI=1.116-3.076) were able to increase the risk of developing AD, while education ( β=-1.047, P<0.001, OR=0.351, 95% CI=0.205-0.584) was able to reduce the risk of developing AD. By using the risk score model to calculate the total risk score for each subject and plotting the receiver operating characteristic curve (ROC), the area under the ROC was 0.769 and the calibration curve showed excellent consistency between prediction and reality. Conclusion:Older adults with Qi-depression type are significantly associated with an increased likelihood of AD.
