Using brachial-ankle pulse wave velocity to associate arterial stiffness with cardiovascular risks

Hung, Chi‐Sheng; Lin, Jia Wei; Hsu, Chen‐Chin; Chen, H.-M.; Tsai, Ru-Yi; Chien, Yu-Hsuan; Hwang, Juey‐Jen

doi:10.1016/j.numecd.2008.07.006

Cited by 41 publications

(33 citation statements)

References 35 publications

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“…24) In our study, the value of baPWV had a strong association with age, gender, body mass index, systolic and diastolic blood pressures, fasting glucose, and cholesterol. These results were consistent with previous reports [25][26][27][28] and support the evidence that baPWV is a reliable predictor of arteriosclerosis, even in Taiwanese subjects.…”

Section: Discussionsupporting

confidence: 93%

“…[25][26][27][28][29] One recent meta-analysis, which collected 18 prospective cohort studies with a total of 8,169 participants and a mean follow-up of 3.6 years, revealed baPWV can predict total cardiovascular events, cardiovascular mortality, and all-cause mortality. The pooled relative risks were 2.95 (95% CI, 1.63-5.33), 5.36 (95% CI, 2.17-13.27), and 2.45 (95% CI, 1.56-3.86), respectively.…”

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confidence: 99%

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Work-Related Psychosocial Hazards and Arteriosclerosis

Chou

2015

Int. Heart J.

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SummaryThe association of psychosocial stress with cardiovascular disease (CVD) is still inconclusive. The aim of this study was to examine the relationships between arteriosclerosis and various work-related conditions among medical employees with various job titles.A total of 576 medical employees of a regional hospital in Taiwan with a mean age of 43 years and female gender dominance (85%) were enrolled. Arteriosclerosis was evaluated by brachial-ankle pulse wave velocity (baPWV). Workrelated conditions included job demands, job control, social support, shift work, work hours, sleep duration, and mental health. The crude relationship between each of the selected covariates and baPWV was indicated by Spearman correlation coefficients. A multiple linear regression model was further employed to estimate the adjusted associations of selected covariates with arteriosclerosis.The mean baPWV of participants was 11.4 ± 2.2 m/s, with the value for males being significantly higher than that for females. The baPWV was associated with gender, age, medical profession, work hours, work type, depression, body mass index, systolic and diastolic blood pressures, fasting glucose, and cholesterol. After being fully adjusted by these factors, only sleep duration of less than 6 hours and weekly work hours longer than 60 hours were significantly associated with increased risk of arteriosclerosis. The conditions of job demands, job control, social support, shift work, and depression showed no significant association with baPWV.Longer work hours and shorter sleep durations were associated with an increased risk of arteriosclerosis. These findings should make it easier for the employer or government to stipulate rational work hours in order to avoid the development of cardiovascular disease among their employees. (Int Heart J 2015; 56: 644-650) Key words: Pulse wave velocity, Cardiovascular disease, Stress C ardiovascular disease (CVD) is the leading cause of death in most industrialized nations. Multiple risk factors predispose people to the progression of CVD. By controlling these risk factors, the incidence and mortality rate of CVD has been reduced in several industrialized countries in recent decades. 1-3)Among these risk factors, psychosocial stress is noted as a widespread phenomenon and plague of modern society. One large-scale and world-wide case control study revealed psychosocial stress was correlated to a 2.67-fold increased risk of acute myocardial infarction, which is a more dangerous condition than that of hypertension and diabetes. 4) Many work-related psychosocial stressors are associated with CVD. Karosak, et al commenced pioneering work and developed the dominant demand-control model (DCM) approximately 3 decades ago to study work-related stress.5) Work characteristics of low decision latitude and high work load will result in high job strain. Job strain will increase the risk of incident coronary heart disease by 23% compared to no job strain in large pooled data. 6)Recently, long work hours, 7-10) shift work, 1...

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Section: Discussionsupporting

confidence: 93%

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confidence: 99%

Work-Related Psychosocial Hazards and Arteriosclerosis

Chou

2015

Int. Heart J.

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“…Although its biomechanical stimuli also promotes atherogenetic changes, especially at branch points and curves 38) , the current findings indicate that ba-PWV is more influenced by elevated blood pressure than max- participant. Although this assessment was adopted in some previous studies [45][46][47][48][49][50][51] ; others assessed ba-PWV as the mean of the two measurements [52][53][54] or the measurement on one specific side (e.g., the right side) 55,56) . Future studies will be needed to investigate whether similar findings would be obtained when these assessments were used instead of selecting the higher value.…”

Section: Discussionmentioning

confidence: 99%

Different Impacts of Cardiovascular Risk Factors on Arterial Stiffness versus Arterial Wall Thickness in Japanese Patients with Type 2 Diabetes Mellitus

Takahara

Katakami

Osonoi

et al. 2015

JAT

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Aim:We statistically investigated whether the impact of cardiovascular risk factors on arterial stiffness would be different from that on arterial wall thickness. Methods: We analyzed 1648 Japanese type 2 diabetic patients. Arterial stiffness was evaluated by pulse wave verbosity (PWV) and wall thickness was assessed with carotid intima-media thickness (IMT) by ultrasonography. We developed a common regression model to PWV and IMT by extending the linear mixed model and statistically detected the difference in the impact of cardiovascular risk factors between the two indices. Results: There was a significant correlation between PWV and IMT (r 0.365, p 0.001). Sex, diabetic duration, hemoglobin A1c levels, and the presence of retinopathy and cardiovascular disease were comparable independent risk factors for elevated PWV and IMT. On the other hand, the impact of age, systolic blood pressure, and low-and high-density lipoprotein cholesterol levels were significantly different between the two measurements (all p 0.05). Cholesterol levels were significantly associated with IMT but not with PWV. Age and systolic blood pressure had a significant impact on both measurements, but the impact on PWV was significantly greater than that on IMT. Indeed, patients with low IMT but with advanced age and high systolic pressure had high PWV, whereas patients with low PWV but with impaired cholesterol levels had high IMT. Conclusion:The extended linear mixed model statistically confirmed that the impact of cardiovascular risk factors on elevated PWV and IMT were not identical in Japanese patients with type 2 diabetes mellitus. J Atheroscler Thromb, 2015; 22: 971-980.

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“…The VP-1000 computes L1 and L2 from the height (H) of the subjects as L1ϭ0.2195ϫHϪ2.0734 and L2ϭ0.5643ϫHϪ18.381. 9 For this reason, we believe that the inverse association between baPWV and body height is spurious. Leading experts in the field recently proposed other formulas to extrapolate travel distance from height.…”

Section: Is Arterial Stiffness Related To Body Height?mentioning

confidence: 99%