Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases
Relationship of ideal cardiovascular health metrics with retinal vessel calibers and retinal nerve fiber layer thickness: a cross-sectional study
First author：Zhang Qian, Qian
Corresponding author：Wu Shouling,Wei Wenbin, Zhao Xingquan, Xingquan
essential_information
- Person in charge：Zhang Qian, Qian
- Data Sources： OTHERS
- Number of papers：OTHERS20190717
- Published time：2018-10-01
2018-10-01
Published articles
Journal：BMC Cardiovasc Disord
Publication type: Research Article
IF(IF): 1.947
PMID: 30285640 Link To Pubmed Full text Download
Background And Purpose
Method
We collected information on the seven ideal CVH metrics among 3376 participants aged 40 years or older from the Asymptomatic Polyvascular Abnormalities Community Study in 2012. Retinal vessel calibers and RNFL thickness were assessed by retinal photography and spectral-domain optical coherence tomography. Multivariable linear models were used to analyze the relationship between ideal CVH metrics and retinal parameters.
Conclusion
These findings suggested a clear positive relationship between the number of ideal CVH metrics and CRAE and AVR in Chinese population, supporting the importance of ideal health behaviors and factors in subclinical vascular abnormalities prevention.
Main results
With the decreased number of ideal CVH metrics, central retinal arteriolar equivalents (CRAE) was significantly narrowed and arterio- venous ratio (AVR) significantly decreased (p < 0.0001). While the RNFL thickness and central retinal venous equivalents (CRVE) showed no significant changes with the decreased ideal CVH metrics. Linear regression showed that both CRAE and AVR was positively related with the number of ideal CVH metrics (regression coefficient beta: 0.806, 95% confidence interval (CI): 0.266-1.346 for CRAE (micron); and regression coefficient beta: 0.005, 95% CI: 0.002-0.009 for AVR) after adjusting for age (year), sex = male (n), education (n), average monthly income (¥) and other related risk factors.