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(Hypertension. 2004;43:541.)
© 2004 American Heart Association, Inc.
Scientific Contributions |
From Tulane Center for Cardiovascular Health and Department of Epidemiology, Tulane University Health Sciences Center, New Orleans, La.
Correspondence to Dr Gerald S. Berenson, Tulane Center for Cardiovascular Health, 1440 Canal Street, Suite 1829, New Orleans, LA 70112. E-mail berenson{at}tulane.edu
| Abstract |
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Key Words: pulse wave velocity cardiovascular disease children arteriosclerosis
| Introduction |
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It is well recognized that vascular changes including atherosclerosis begin early in life as a silent, asymptomatic disease process and are associated with CV risk factors.16,17 Importantly, CV risk factors persist or track from childhood to adulthood and are predictive of CV disease risk in adults.18,19 Evaluation of arterial stiffness and its predictors may help identify asymptomatic individuals at risk. In this regard, no data are available with respect to whether and what extent childhood traditional CV risk factors and their cumulative burden from childhood to adulthood are associated with arterial stiffness measured in young adulthood. Longitudinal data from the Bogalusa Heart Study, a biracial (blackwhite) community-based investigation of CV risk factors beginning in childhood,20 provide an opportunity to explore the importance of traditional CV risk factors measured in childhood, adulthood, or as a cumulative burden from childhood to adulthood in influencing arterial stiffness.
| Methods |
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Participation rates ranged from approximately 80% to 92% for school-aged children to approximately 60% to 65% for the adult cohort. Written informed consent was obtained from parents or guardians in childhood and from the participants in adulthood. Protocols were approved by the Institutional Review Board of the Tulane University Health Sciences Center.
Examinations
All surveys followed essentially the same protocol for risk factor measurements.20 Participants were instructed to fast for 12 hours before screening, with compliance ascertained by interview on the morning of the examination. Height and weight were measured twice to within 0.1 cm and within 0.1 kg, respectively, and the mean values were used to calculate body mass index (BMI) (calculated as weight in kilograms divided by the square of height in meters) as a measure of body fatness. Information on smoking status (yes/no) was obtained as part of a health habit questionnaire,21 and duration (years) of smoking was obtained in adulthood in the last 2000-2001 survey.
Replicate blood pressure measurements were obtained on the right arm of the participants in a relaxed, sitting position. Arm measurements, length and circumference, were made during the examination to ensure proper cuff size. Systolic and diastolic blood pressure levels were analyzed as the first, fourth (in children), and fifth (in adults) Korotkoff phases using mercury sphygmomanometers. Blood pressure levels were reported as the mean of 6 replicate readings, taken by each of 2 randomly assigned and trained observers.
Serum Lipid and Lipoprotein Analyses
During 1973 to 1986, cholesterol and triglycerides levels were measured with a Technicon AutoAnalyzer II (Technicon Instrument Corp, Tarrytown, NY) according to the Laboratory Manual of the Lipid Research Clinics Program.22 These variables were determined by enzymatic procedures23,24 on the Abbott VP instrument (Abbott Laboratories, North Chicago, Ill) between 1986 and 1996 and on the Hitachi 902 Automatic Analyzer (Roche Diagnostics, Indianapolis, Ind) since then. Both chemical and enzymatic procedures met the performance requirements of the Lipid Standardization Program of the Centers for Disease Control and Prevention (CDC). This standardization monitored the accuracy of measurements of total cholesterol, triglycerides, and high-density lipoprotein (HDL) cholesterol concentrations. Measurements on CDC-assigned quality-control samples showed no consistent bias over time within or between surveys. Serum lipoprotein cholesterol levels were analyzed using a combination of heparincalcium precipitation and agaragarose gel electrophoresis procedures.25
Pulse Wave Velocity Measurements
baPWV was measured using a noninvasive automatic oscillometric device (BP-203RPE; Colin, Komaki, Japan) as described in detail previously.10,11 This instrument records PWV, blood pressure, ECG, and heart sounds simultaneously. Occlusion and monitoring cuffs were placed snugly around both sides of the upper and lower extremities in subjects in the supine position. After at least 5 minutes of bedrest, 3 waveforms of brachial and tibial arteries were recorded. ECG monitoring was performed with electrodes placed on both wrists. The pressure waveforms obtained at the two different sites were simultaneously recorded to determine the time interval between the initial rise in the brachial and tibial pressure waveforms (Ta). The path length from the suprasternal notch to the elbow (Da) and the path length from the suprasternal notch to the ankle (Db) were obtained automatically based on the subjects height. Finally, baPWV was calculated with the equation: (Db-Da)/Ta. To examine the reproducibility of baPWV, 37 randomly selected subjects were reexamined 2 to 3 hours later, after their first examination. The correlation coefficient between 2 examinations was 0.84 for the left side (P<0.001) and 0.82 for the right side (P<0.001). The average value of measurements on both left and right sides was used for data analysis.
Statistical Methods
All data analyses were performed using SAS version 8. The area under the curve (AUC) of serial measurements was used as a measure of cumulative risk burden from childhood to adulthood and its computation has been described previously in detail.26 Age was centered by subtracting 20, which was the average value of age in the total sample.
Risk factors measured at the first and last examinations were used as childhood and adulthood values, respectively. Pearson correlation coefficients were used to assess the relationships of baPWV to risk factors measured since childhood, with childhood and adult risk factors standardized to race-, sex-, and age-specific z scores; AUC values to race-, sex-, and average age-specific z scores; and baPWV to race-, sex-, age-, and heart rate-specific z scores. Adjustment of baPWV for heart rate was necessary because it is an important confounder of PWV.27,28 To explore the predictors of baPWV in young adults, multiple regression analysis was performed with baPWV as a dependent variable and risk factors measured since childhood as the independent variables, respectively, with all the variables standardized as described.
| Results |
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Mean levels along with certain percentiles of baPWV in young adults by race and sex are shown in Table 2. Blacks versus whites and men versus women had higher baPWV (P<0.001). Pearson correlation coefficients between baPWV in young adulthood and risk factor variables measured from childhood to adulthood are shown in Table 3. Childhood systolic blood pressure, BMI, and HDL cholesterol (inverse association) were significantly correlated with baPWV in young adults. In adulthood, systolic blood pressure, triglycerides, BMI, HDL cholesterol (inverse association), and LDL cholesterol were all significantly correlated with baPWV, with systolic blood pressure showing the highest correlation. For risk factors measured as a cumulative burden since childhood, all risk factors were significantly correlated with baPWV in young adults, and the magnitude of correlation was highest for systolic blood pressure.
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Table 4 shows results of multiple regression of baPWV on risk factor variables measured since childhood. Childhood systolic blood pressure was the only independent predictor for baPWV in young adults. In adulthood, systolic blood pressure, smoking, HDL cholesterol (inverse association), and triglycerides were independent correlates of baPWV. Cumulative burdens of systolic blood pressure, smoking (duration), and triglycerides since childhood were independent predictors of baPWV in young adults. Thus, systolic blood pressure was the most consistent predictor of baPWV in young adults in all three models.
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| Discussion |
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In this study, one single measurement of systolic blood pressure in childhood, regardless of its minute-to-minute variation, was associated with baPWV in young adults. Those who had higher blood pressure levels in childhood had stiffer arteries 26 years later, which suggests that blood pressure even in early childhood plays a role in the process of arterial stiffening. This is consistent with earlier reports showing an inverse association between arterial elasticity or compliance and blood pressure in youth.29,30 Mechanistically, arterial stiffness may be the consequence of repetitive cycles of stress and strain and the attendant induction of vascular smooth muscle cell growth and synthesis of matrix components.31 Smooth muscle cell phenotype and activity modulate the proportion of elastin to collagen, thereby influencing vascular stiffness,32 which may further increase blood pressure33 and start a vicious cycle.
The observed predictability of childhood blood pressure for arterial stiffness in young adulthood is at variance with the situation in middle-aged and older adults in whom impaired elasticity or compliance of the artery is considered an antecedent factor for systolic hypertension and widened pulse pressure.34,35 It should be noted that the early phase of high blood pressure seen in youth is generally governed by increases in sympathetic nervous system activity and peripheral vascular resistance resulting in arterial stiffness, whereas the manifestation of later-phase hypertension in the elderly is influenced more by increases in central vessel stiffness than sympathetic activity.36,37
Recently, others and we have shown that childhood risk factors are predictive of carotid vascular changes measured in terms of carotid intima-medial thickness in young adults.26,38,39 Although atherosclerosis involves complex mechanisms including fat deposition (atherosis) and medial degeneration (sclerosis), arterial wall thickening or atherosis results mainly from risk factors such as dyslipidemia. In general, elevated arterial PWV is a measure of sclerosis, which is mainly caused by aging, and elastic fiber degeneration related to long-term repetitive stress/strain burden of hemodynamic forces. Given that both arterial stiffness and thickness are important markers of future CV risk, the current study along with previous studies26,38,39 again underscores the importance of childhood risk factors in the development of CV risk in adulthood.
The present study, as in previous studies,15,29,30,4043 shows that systolic blood pressure along with HDL cholesterol (inverse association), triglycerides, and smoking in adulthood are cross-sectionally associated with baPWV in young adulthood. Similar trends were also seen in the current study with respect to cumulative burden of these variables (except for HDL cholesterol). Further, insulin resistance status measured cross-sectionally in adulthood by fasting glucose and insulin was also an independent determinant of arterial stiffness.29 Unfortunately, those measurements were not available in childhood in this cohort. Thus the influences of insulin resistance in childhood or as a cumulative burden on arterial stiffness in young adults could not be examined in this study. Taken together, these data indicate hemodynamics of the circulation system and metabolic factors are 2 aspects determining arterial stiffness.
Perspectives
The results in this study show that systolic blood pressure measured in childhood, adulthood, or as a cumulative burden since childhood is a consistent predictor of arterial stiffness in young adults. This underscores the importance of systolic blood pressure in the evolution of arterial stiffness. Further, HDL cholesterol and triglycerides as independent correlates for arterial stiffness reflect the role of metabolic factors in addition to hemodynamic stress in the arterial stiffening. Although the causality between childhood blood pressure and arterial stiffness in young adults could not be established by this observational study, information from our study and other accumulating evidence showing that childhood risk factors are predictive of CV risk later in life underscore the relevance of preventive cardiology early in life.
| Acknowledgments |
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Received October 23, 2003; first decision November 7, 2003; accepted December 8, 2003.
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