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Original Articles

Serum lipid level and lifestyles are associated with carotid femoral pulse wave velocity among adults: 4.4-year prospectively longitudinal follow-up of a clinical trial

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Pages 487-494 | Received 01 Aug 2017, Accepted 19 Sep 2017, Published online: 16 Oct 2017
 

ABSTRACT

Lifestyle modifications are recommended as the initial treatment for high blood pressure. The influence of dyslipidemia might be via moderate arterial stiffness, which results in hypertension and cardiovascular disease. We used data from a subgroup of the lifestyle, level of serum lipids/carotid femoral-pulse wave velocity (CF-PWV) Susceptibility BEST Study, a population-based study of community-dwelling adults aged 45–75 years. The serum lipid level and CF-PWV were measured at baseline, and lifestyle such as smoking status, sleeping habits, and the level of oil or salt intake was determined with the use of a validated questionnaire during follow-up. Arterial stiffness was determined as CF-PWV using an electrocardiogram after a mean follow-up of 4.4 years. Regression coefficients (95% CIs), adjusted for demographics, risk factors, cholesterol, and triglycerides (TGs), were calculated by linear regression. Logistic regression analysis was used to identify the association between the variables with CF-PWV independently.

In the results, glucose and total cholesterol (TC) were associated with higher CF-PWV (p = 0.000) and lower-destiny lipoprotein was associated with lower CF-PWV (p = 0.001) after adjustments for age, sex, mean arterial pressure, and heart rate. There were significant associations observed for current salt intake in relation to CF-PWV (p-trend = 0.038) without adjustment. This association was retained after adjustments for covariates and had statistical significance (p-trend = 0.048) in model 3, which adjusted age, sex, baseline CF-PWV, mean arterial pressure, heart rate waist circumference, education, smoking status, physical activity, diabetes mellitus (DM), heart disease, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, TGs, antihypertensive medicine, nitrate medicine, and antiplatelet medicine. Linear regression showed statistically significant associations between LDL and CF-PWV in the fully adjusted models (model 1 p = 0.010, model 2 p = 0.020, model 3 p = 0.017). Logistic regression analysis showed that CF-PWV was independently associated with age (p = 0.000), TC (p = 0.000), TGs (p = 0.000), and homo-cysteine (p = 0.000), and their odds ratios were 0.781, 3.424, 0.075, and 1.046, respectively. Our results showed a positive association between LDL and arterial stiffness, and suggested that less smoking status, sleeping disorder, and salt intake were associated with less arterial stiffness.

Funding

This work was supported by grants from the National Key Scientific Research Projects (No. 2017YFC0113005), Beijing health and health science and technology achievement and appropriate technology extension project (No. TG-2017-66), the hospital fund of Peking University Shougang Hospital to Hongyu Wang(No. 2017- Hospital-Clinical −01), the major project fund Peking University Shougang Hospital to Hongyu Wang (No. SGYYZ201610), Beijing Chinese medicine science and Technology Development Fund Project (No. NQ2016-07).

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the article.

Ethics approval

Ethics approval was obtained from the ethics committee of the Health Science Center, Peking University, China.

Additional information

Funding

This work was supported by grants from the National Key Scientific Research Projects (No. 2017YFC0113005), Beijing health and health science and technology achievement and appropriate technology extension project (No. TG-2017-66), the hospital fund of Peking University Shougang Hospital to Hongyu Wang(No. 2017− Hospital−Clinical −01), the major project fund Peking University Shougang Hospital to Hongyu Wang (No. SGYYZ201610), Beijing Chinese medicine science and Technology Development Fund Project (No. NQ2016-07).

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