Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases
Association of ideal cardiovascular health metrics and cognitive functioning: the APAC study
First author：Ning Zhang,Yuling Yang
Corresponding author：Shouling Wu,Chunxue Wang,Xingquan Zhao
essential_information
- Person in charge：Ning Zhang,Yuling Yang
- Data Sources： APAC
- Number of papers：APAC20190156
- Published time：2016-06-01
2016-06-01
Published articles
Journal：European Journal of Neurology
Publication type: Original Contributions
IF(IF): 6.089
PMID: 27251451 Link To Pubmed Full text Download
Background And Purpose
Previous studies have demonstrated that the components of ideal cardiovascular health (CVH) metrics are related to dementia.This study aimed to investigate the overall effects of ideal CVH metrics on cognitive functioning.
Method
Information was collected on the seven ideal CVH metrics (smoking, body mass index, dietary intake, physical activity, blood pressure, total cholesterol and fasting blood glucose) from the Asymptomatic Polyvascular Abnormalities Community study, and cognitive functioning was assessed by the score of the Mini-Mental State Examination (MMSE). Multivariate logistic regression and linear regression models were used to assess the relationships between ideal CVH metrics and cognitive functioning.
Conclusion
A clear inverse association was observed between the number or score of ideal CVH metrics and cognitive impairment in a Chinese population, supporting the importance of ideal CVH metrics in prevention of dementia.
Main results
A total of 3260 (56.7% men) patients were included in this study.After adjusting for potential confounding factors, the associations between the number or score of ideal CVH metrics and cognitive impairment remained significant [odds ratio (OR) (95% confidence interval) 0.773 (0.664–0.928) and 0.904 (0.831–0.983), respectively]. In addition, there were significant linear relationships between the number or score of CVH metrics and the score of the MMSE (b = 0.211 and 0.134 respectively, P < 0.001).