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Zhonghua Xin Xue Guan Bing Za Zhi. 2008 Dec;36(12):1120-4.

[Profile and associations of carotid femoral pulse wave velocity in a community-based Beijing population of middle and old age].

[Article in Chinese]

Author information

1
National Center for Cardiovascular Disease, Cardiovascular Institute and Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.

Abstract

OBJECTIVE:

To explore the profile and related factors of carotid femoral pulse wave velocity (CFPWV) in a community-based Beijing population of middle and old age.

METHODS:

A total of 1519 residents aged 44 - 79 years old from Shijingshan district, Beijing, were recruited for the cardiovascular risk factor survey and CFPWV measurements. One way ANOVA, pearson correlation and partial correlation, stepwise multi-linear regression were used for the data analysis.

RESULTS:

(1) The age-adjusted mean value of CFPWV was significantly higher in men than that in women (11.4 vs. 11.1 m/s, P = 0.007). CFPWV increased significantly with age both for men and women (all P < 0.01). (2) After adjusting for age and gender, CFPWV was significantly higher in people with hypertension, diabetes and higher heart rate (> 70 beats/min) than people without these factors (P < 0.01). (3) CFPWV significantly correlated with age, systolic blood pressure, diastolic blood pressure, fasting blood glucose and heart rate (correlation coefficient ranged from 0.12 - 0.46, all P < 0.01). In female, CFPWV was positively correlated with total cholesterol and triglycerides (correlation coefficient 0.11 and 0.13, all P < 0.01). Multi-linear regression analysis showed age, gender, systolic blood pressure, diastolic blood pressure, fasting blood glucose and heart rate were independent predictors of CFPWV.

CONCLUSION:

In this middle and old age Chinese population, age, sex, systolic blood pressure, diastolic blood pressure, fasting blood glucose and heart rate but not HDL-cholesterol and body mass index were associated with CFPWV.

PMID:
19134283
[Indexed for MEDLINE]

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