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(Hypertension. 2006;47:391.)
© 2006 American Heart Association, Inc.
Original Articles |
From the University of Pittsburgh (K.A.M.), Pa; University of Alabama (S.Z., D.C.T.), Birmingham; and the VA Medical Center and University of California (M.A.W.), San Francisco.
Correspondence to Karen A. Matthews, University of Pittsburgh, 3811 OHara St, Pittsburgh, PA, 15213. E-mail matthewska{at}upmc.edu
| Abstract |
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Key Words: stress risk factors blood pressure coronary artery disease
| Introduction |
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Another noninvasive measure quantifies the extent of calcification in the heart by computed tomography (CT). Measures of cardiac CT are closely related to the amount of coronary atherosclerosis observed by angiography and by the evaluation of pathology specimens.911 The extent of coronary calcification (CaC) predicts coronary morbidity and mortality in both symptomatic and asymptomatic individuals.1214 To our knowledge, there are no studies of BP reactivity to psychological stress and CaC.
In the present study, we examined the association between BP responses to 2 psychological tasks and the presence of CaC measured 13 years later among healthy black and white men and women enrolled in the Coronary Artery Risk Development In young Adults (CARDIA) study. We demonstrated previously that the magnitude of BP responses to the tasks predicted subsequent hypertension in CARDIA.15 We also examined in secondary analyses whether the development of hypertension or the metabolic syndrome (of which BP is 1 component) before measurement of CaC mediated any observed associations between BP responses to the tasks and CaC. For completeness of reporting and because of prior observations that heart rate (HR) responses to challenge were associated with coronary atherosclerosis in the cynamolgus monkey model,16 we also report the associations of HR responses to the tasks and CaC.
| Methods |
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Participants were reexamined in years 2, 5, 7, 10, and 15 after baseline, with reexamination rates among surviving cohort members of 91%, 86%, 81%, 79%, and 74%, respectively. A total of 4624 participants attended the year 2 (19861987) examination, with 4202 participating in all or part of the cardiovascular (CV) reactivity protocol described below. Of the 74% participating in year 15 (20002001) examination, 2842 participated in the CT protocol. We excluded 5 participants who reported taking medication for diabetes, 20 who reported using antihypertensive medications, and 1 transsexual participant (based on lack of gender assignment), leaving 2816 for the analysis. A comparison of the 2816 participants in the present analysis with the 556 who had reactivity testing in year 2 and who participated in the year 15 examination but did not participate in the CT protocol showed that the participants in the present analysis were thinner, more educated, more likely to be white, male, and nonsmokers, had no family history of heart disease, and had slightly higher systolic BP (SBP) and HR reactivity scores relative to those who did not enroll in the CT protocol. The groups did not differ in lipids or alcohol consumption.
CV Reactivity Testing
CV reactivity testing included an 8-minute baseline period followed by the presentation of a video game (Atari Breakout) and star tracing task (using a mirror image) in randomized order for 3 minutes each. BP and HR were recorded at 1-minute intervals with an automated BP monitor (2600B Vita-Stat Spacelabs Medical Inc) throughout the tasks and the last 4 minutes of the baseline period. A third and final task, a cold pressor task, is not additionally discussed, because 635 participants did not have any BP data during this task; additional exclusionary criteria (Raynauds disease or Raynauds phenomena, sickle cell anemia, and pregnancy) were imposed; only 1 BP was measured using a different method, a mercury sphygmomanometer, and no HR was available. Centralized training of technicians, quality assurance site visits, the use of audiotaped instructions to participants, and weekly calibration of the automated BP monitors were used to insure standardization of the protocol.
CaC
CaC was measured by using an Imatron C-150 electron beam scanner, a GE Lightspeed multidetector scanner, or a Siemens VZ multi. With the help of a scanning protocol to allow standardization of image brightness and specialized image processing software across these slightly different technologies, trained readers identified the presence of CaC in each scan. A total coronary calcium score was calculated for each scan by multiplying the area of the focus by a coefficient ranging from 1 to 4 based on the peak density in the focus [1=131 to 200 Hounsfield Units (HU), 2=201 to 300 HU, 3=301 to 400 HU, and 4=
401 HU] according to the method described by Agatston et al.18 All of the readers were blinded to participant characteristics. Both between- and within-reader reproducibility was high.19
Covariates and Mediators
Covariates were from year 2 concurrent with the reactivity testing unless noted otherwise. At all of the examinations, 3 seated BP measurements at 1-minute intervals were taken on the right arm using a Hawksley random zero sphygmomanometer (WA Balm Company) after a 5-minute rest. SBP and diastolic BP (DBP) were recorded as phase I and phase V Korotkoff sounds, and the latter 2 measures were averaged. Standardized questionnaires were used to collect self-reported diagnosis and treatment of hypertension, diabetes, other chronic conditions, and health behaviors. Family history of either parent having a heart attack before the age of 60 had been reported at year 0 (baseline) examination only. Only 9.85% reported an alcohol consumption equivalent to
2 drinks per day at year 2, so alcohol consumption was classified as at least 2 drinks per day or less.20 Body mass index (BMI) was calculated as measured weight (kg) divided by height squared (m2). Smoking status was categorized as currently smoking
5 cigarettes per week (yes/no). Total and high-density lipoprotein (HDL) cholesterol and triglycerides were measured in fasting blood,21 with low-density lipoprotein (LDL) cholesterol calculated by the Friedewald equation. Fasting blood glucose was not measured at year 2. Blood glucose was measured at year 0, 7, and 10 examinations, allowing for calculation of the development of the metabolic syndrome using the National Cholesterol Education Program Third Adult Treatment Panel guidelines22 for years 7 and 10 for the mediational analyses. Hypertension based on both BP readings and self-report of use of antihypertensive medication was evaluated at years 5, 7, and 10 as a possible mediator.
Statistical Analysis
BP and HR reactivity scores were determined by subtracting the average of the final 3 baseline readings from the average levels measured during each task. Cholesterol and triglycerides were log transformed before analysis. Because of the relatively low prevalence of any calcification in the sample, calcification was treated as a dichotomous variable, with participants with any calcification compared with those with no evidence of calcification. T tests were used to compare the baseline BPs and the BP change scores of the "any calcification" and "no calcification" groups. To determine whether any significant effects could be explained by other variables, logistic regression analyses were performed with the following covariates in the model: age in years, race, sex, education in years, family history of myocardial infarction (MI), BMI, smoking status, alcohol intake, LDL cholesterol, HDL cholesterol, triglycerides, and resting BP or HR. Interaction terms between reactivity scores and race or sex were introduced into the models to test whether the relationships between reactivity scores and calcification varied by race or sex. To test whether the development of hypertension or metabolic syndrome between the year 2 and CT examinations mediated the associations between CV reactivity scores and CaC, additional logistic models were performed adjusting for interim hypertension or metabolic syndrome. P values <0.05 were considered statistically significant.
| Results |
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20. Participants who had any CaC were older, white, male, and more likely to smoke and to have a family history of MI. Older males were particularly likely to have any CaC. Compared with those who had no CaC at follow-up, those with CaC had lower HDL cholesterol and higher BMI, resting SBP, DBP, HR, and log -transformed triglycerides and LDL cholesterol at year 2 (Table 1).
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Association Between CaC and CV Reactivity
CaC groups did not differ in the changes observed during the star tracing task but did differ in the changes observed during the video game (Table 2). Participants who had any CaC had greater increases in SBP during the video game than did those with none. The association between having any CaC and SBP reactivity during the video game remained statistically significant in the multivariate logistic regression model (Table 3).
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The tests for interactions between race or gender and SBP reactivity during the video game were nonsignificant (all P values >0.20). Analyses were repeated adding fasting glucose from year 0 and physical activity to the multivariate model; they were also repeated excluding participants who had SBP >140 or DBP >90 at year 2. Neither analysis altered the primary findings (data not shown).
Participants who had any CaC had smaller increases in HR during the video game than did those with no CaC (Table 2), but this association was not significant after adjustment for potential confounders (P=0.37). Test for interaction between sex and HR reactivity was nonsignificant. However, the test for the interaction between race and HR reactivity was significant (P=0.0003). Multivariate logistic analyses in blacks and whites separately showed that the higher HR reactivity (per 10 bpm) during the video game was associated with a lower risk of subsequent calcification in blacks [odds ratio (OR), 0.45; 95% CI, 0.28 to 0.73; P=0.001] but not in whites (OR, 1.12; 95% CI, 0.92 to 1.54; P=0.19).
Possible Mediators of CaC and SBP Reactivity
We examined whether interim development of hypertension between the SBP reactivity measure in 19871988 and CaC measure in 20002001 was a pathway by which SBP reactivity resulted in increased risk for having any CaC. After additional adjustment for interim hypertension (SBP
160, DBP
95, or use of antihypertensive medications) at year 5 (19901991), year 7 (19921993), or year 10 (19951996), the association between SBP change (per 10 mm Hg increase) and subsequent CaC remained significant (Table 3 OR plus interim hypertension, 1.33; 95% CI, 1.10 to 1.61; P<0.004). Virtually identical results were obtained when interim hypertension was considered to be SBP
140 or DBP
190. Similarly, after additional adjustment for interim metabolic syndrome at year 7 (19921993) or year 10 (19951996), the association between SBP change (per 10 mm Hg increase) and subsequent CaC remained significant (Table 3 OR plus interim metabolic syndrome at year 10, 1.35; 95% CI, 1.11 to 1.64).
| Discussion |
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In contrast, BP reactivity to the star tracing task did not predict subsequent CaC. It is unclear why the association between BP reactivity and CaC differs by type of stressor. One factor may be that BP reactivity to the video game may be a more reliable characteristic of the individual than BP reactivity to the other tasks. This is an unlikely explanation, because numerous studies show that BP reactivity to a variety of tasks is a reliable characteristic of normotensive adults, with correlations for BP change scores averaged across a number of tasks ranging from 0.0.71 to 0.81 across 5 studies with intervals of 1 week to 1 month.23 Another possibility is related to differences in SBP reactivity by sex and race. As reported elsewhere,15 men had larger increases in SBP during the video game and star tracing tasks, especially among whites, than had women. Given that men and whites more often had any CaC relative to women and blacks, perhaps the association between SBP reactivity during the video game and any CaC is illusory. Arguing against this notion is that we adjusted for sex and race in the multivariable analyses. A final explanation is related to the low prevalence of CaC in the CARDIA sample. The association of SBP reactivity to star tracer task and CaC may simply be less robust, because the association did approach conventional levels of significance in univariate analyses (P<0.08). Perhaps the effects with SBP reactivity to the star tracing task would be stronger in a sample with a higher prevalence of atherosclerosis.
Strengths of this study include state-of-the-art methods in CARDIA for measuring CV risk factors; a standardized reactivity protocol using well-characterized laboratory stressors; a large population-based, multiethnic sample; 13-year follow-up of participants from young adulthood into midlife; and high quality measurement of CaC. Having any CaC was associated with a number of CV risk factors, including atherogenic lipid values, smoking, race, sex, resting BP, and family history, providing internal validity to our calcification results.
Several limitations should be considered in interpreting our results. The measure of HR was based on a single HR at the time of BP measurement. Continuous measures of HR and HR variability during stress were unavailable and may be important to understanding the development of atherosclerosis, given other findings in animal and human studies.16,24,25 The very low prevalence of CaC in the sample of healthy adults reduced the power to detect associations that may be obtained in a sample with a greater prevalence of disease. Finally, although BP reactivity to the video game was assessed 13 years earlier than CaC, we could not rule out the possibility that BP reactivity to the video game was a consequence of even earlier changes in the arterial wall.
Perspectives
Our data show that SBP changes to one of the psychological stressors predict subsequent CaC among healthy participants. These data partially support the hypothesis that BP reactivity to stress may lead to CaC. BP reactivity predicts CaC, as well as standard resting BP in our study. BP reactivity protocols should be added to future epidemiological protocols to additionally evaluate the role of BP reactivity in coronary atherosclerosis.
| Acknowledgments |
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Received July 11, 2005; first decision July 26, 2005; accepted November 21, 2005.
| References |
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