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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Hypertension. Author manuscript; available in PMC 2010 October 7.
Published in final edited form as:
PMCID: PMC2950971
NIHMSID: NIHMS239896

TRAIT ANTAGONISM AND THE PROGRESSION OF ARTERIAL THICKENING: WOMEN WITH ANTAGONISTIC TRAITS HAVE SIMILAR CAROTID ARTERIAL THICKNESS AS MEN

Abstract

A large body of evidence links antagonism-related traits with cardiovascular outcomes, but less is known about how psychological traits are associated with intermediate markers of cardiovascular disease. Using a large, community-based sample from Sardinia, Italy (N=5,614), this study examined how trait antagonism (low Agreeableness) and its facets are associated with carotid artery intima-media thickness (IMT), a measure of arterial thickening. Controlling for demographic and cardiovascular risk factors, low Agreeableness, and in particular low Straightforwardness and low Compliance, were associated with greater carotid thickening, measured concurrently and prospectively, and with increases in IMT over three years. Indeed, those in the bottom 10% of Agreeableness had a 40% increase in risk for elevated IMT. Although men have thicker arterial walls, women with antagonistic traits had similar carotid thickening as antagonistic men. Antagonistic individuals, especially those who are manipulative and aggressive, have greater increases in arterial thickening, independent of traditional cardiovascular risk factors.

Keywords: Intima-media thickness, Antagonism, Anger, atherosclerosis, Personality

When the Type A behavioral pattern was dissected into its constituent parts, hostility emerged as the dominant predictor of coronary heart disease (CHD) 13. Subsequent work demonstrated that the interpersonal aspects of hostility, such as the expression of anger in interpersonal contexts, were particularly predictive of CHD 4, 5. Within the framework of the Five-Factor Model (FFM) of personality, trait Agreeableness captures individual differences in this interpersonal orientation towards others. In contrast to agreeable individuals, who tend to be trusting, straightforward, and show concern for others, individuals who score high on antagonism (low Agreeableness) tend to be cynical, manipulative, self-centered, arrogant, and quick to express their anger 6. A substantial literature now shows how individual differences in these antagonism-related traits predict a variety of cardiovascular outcomes, including stroke, fatal and non-fatal coronary events, silent myocardial infarctions, and cardiac revascularization procedures 7, 8 (see 9 for a review).

Much of this work has necessarily focused on the clinical manifestations of coronary heart disease. Advances in noninvasive technology, however, have made it possible to assess potential markers of atherosclerosis, a preclinical state of CHD. Specifically, carotid artery intima-media thickness (IMT) is a measure of arterial wall thickness, measured via ultrasound, which can be used to assess healthy people who do not yet clinically manifest the disease. Arterial thickness increases with age, but is sensitive to elevated blood pressure and chronic hypertension 10 and tends to be accelerated in the presence of cardiovascular disease, and is an independent predictor of stroke and future myocardial infarction (see 11 and 12 for reviews).

Evidence for the role of antagonism in arterial thickening primarily comes from cross-sectional studies on specific populations. Measures of anger and hostility, for example, have been associated with concurrent measures of IMT among untreated hypertensive men 13, elderly women 14, women transitioning to menopause 15, and young adults who grew up in low socioeconomic environments 16. Among post-menopausal women, these traits are also associated with IMT measured prospectively 17 and with increases in IMT over time 18. With few exceptions (e.g., 19), the antagonism-IMT associations have been examined using specific populations; large, population-based samples are needed to test whether these associations hold across different demographic groups (i.e., men, women; younger, older). Further, at least two assessments of IMT are needed to test whether antagonism predicts the progression of arterial thickening.

In the present study, we examine the concurrent and prospective associations between six facets of trait antagonism (Agreeableness) and IMT in a large, population-based sample. In addition, with two measures of IMT taken approximately three years apart, we test whether these traits predict increases in arterial thickening. Finally, several studies have looked at these relations separately for men and women; few have the power to directly test sex as a moderator. The large sample size in the present study provides sufficient power to test demographic moderators of the antagonism-IMT relations.

Method

Participants

Participants were drawn from the SardiNIA project, a large, on-going multidisciplinary study of the genetic and environmental basis of complex traits and age-related processes 20. Approximately 62% of the population (N = 6,148 individuals; 57% female), aged 14 to 102 years, from a cluster of four towns in the Lanusei Valley enrolled in the study. The current study includes 5,614 participants (58% female; mean age = 42.51; SD = 16.86, range = 14–94) who had valid personality and IMT measurements at Wave 1. A total of 4,634 participants (59% female; mean age = 45.77; SD = 16.22, range = 18–98) had a second valid assessment of IMT approximately three years later. The project was approved by institutional review boards in Italy and the US, and all subjects gave informed consent.

Personality Assessment

Agreeableness was assessed using the Italian version 21 of the Revised NEO Personality Inventory (NEO-PI-R) 6. The 48-item Agreeableness scale assesses six facets of this trait: A1: Trust, A2: Straightforwardness, A3: Altruism. A4: Compliance, A5: Modesty, and A6: Tender-mindedness. All items are answered on a five-point Likert scale, from strongly disagree to strongly agree; scales are roughly balanced to control for the effects of acquiescence. Participants filled out the self-report questionnaire (89%) or chose to have the questionnaire read by a trained Sardinian psychologist (11%). A variable (test administration) that indicated this difference in the administration of the NEO-PI-R was used as a covariate in the analyses. In this sample, the NEO-PI-R showed good psychometric properties and the factor structure replicated the American normative structure 20. Raw scores were converted to T-scores (M=5, SD=1) using American combined-sex norms 6. Thus, every one T-score increase corresponds to an approximately 1 SD increase in Agreeableness.

IMT

As described previously 22, 23, high-resolution B-mode carotid ultrasonography was performed by use of a linear-array 5–7.5 MHz transducer (HDI 3500, ATL Ultramark Inc.). The subject lay in the supine position in a dark, quiet room. The stabilized BP after 15 min from the onset of testing was used for subsequent analyses. A region 1.5 cm proximal to the carotid bifurcation was identified, and the intima–media thickness (IMT) of the far wall was evaluated as the distance between the luminal–intimal and the medial–adventitial interfaces. Intima–media thickness was measured on the frozen frame of a suitable longitudinal image with the image magnified to achieve a higher resolution of detail in areas without plaques or calcification (at least 1 mm distance from the plaque shoulder, if plaque was present). The IMT measurement was obtained from five contiguous sites at 1 mm intervals, and the average of the five measurements was used for analyses. Consistent with previous research, IMT was measured in millimeters10, 23, and had a mean of .54 (SD = .11; range = .33 to 1.34) at baseline and a mean of .55 (SD = .11; range = .31 to 1.33) at follow-up.

Covariates

In addition to age, sex, education, and test administration, we controlled for several major cardiovascular risk factors: waist circumference, systolic and diastolic blood pressure, LDL and HDL cholesterol, triglycerides, fasting glucose and insulin, smoking, and antihypertensive, statin, and diabetes medication use (see Table 1 for descriptive statistics). Waist circumference was measured in centimeters. Blood pressure was measured three times after a five-minute resting period; we used the average of the second and third measurements of systolic and diastolic blood pressure. Blood was drawn from the antecubital vein between 7 and 8 a.m. after an overnight fast. Participants were asked not to smoke, engage in significant physical activity, or take medications prior to the blood collection. Standard enzymatic methods were used on fasting lipid measurements to determine serum HDL cholesterol and triglycerides. LDL cholesterol was derived using the Friedewald equation 24: LDL cholesterol = Total cholesterol – HDL cholesterol – triglycerides/5. The glucose oxidase method (Beckman Instruments Inc., Fullerton, CA, USA) was used to determine fasting plasma glucose concentration. Solid-phase, two-site chemiluminescent immunometric assay (Immulite 1000; SR1 Insulin - Biochem ImmunoSystems) was used to determine insulin concentration. Smoking was a binary variable, as were antihypertensive, statin, and diabetes medication use.

Table 1
Sample Descriptive Statistics for Demographic and Cardiovascular Covariates and IMT

Statistical Overview

To determine the associations between Agreeableness and IMT, we ran a series of linear regressions predicting concurrent and prospective IMT from Agreeableness and its facets. We ran these analyses first with the basic demographic covariates and then added the cardiovascular risk factors as covariates. To examine change in IMT, we predicted prospective IMT controlling for concurrent IMT in addition to all of the other covariates. Using Aiken and West’s 25 methodology for testing interactions, we tested whether sex or age (entered as a continuous variable) moderated the personality-IMT associations. We focus on moderators that replicated across both the concurrent and prospective analyses. Finally, we used logistic regression to test whether Agreeableness increased risk for having IMT in the top quartile of the distribution. Due to missing values on some of the cardiovascular risk factor covariates, the sample size varied for the analyses that included these variables (n = 5,460 for concurrent IMT, n = 4,516 for prospective IMT, and n = 4,478 for change in IMT). Unless otherwise specified, all coefficients reported below are standardized beta coefficients.

Results

Table 2 shows the results of the linear regressions for concurrent IMT, prospective IMT, and change in IMT. Controlling for the basic demographic covariates, domain-level Agreeableness, A2: Straightforwardness, and A5: Modesty were negatively associated with IMT, indicating that those who were antagonistic, manipulative, and arrogant had greater carotid thickening. The negative associations between IMT and Agreeableness and A2: Straightforwardness were unchanged when we added the full list of cardiovascular risk factors as covariates; A5: Modesty, however, was reduced to non-significance. Although modest, the effect size of Agreeableness on IMT, by comparison, was similar in magnitude to that of other major risk factors for carotid thickening, including smoking (β = .04, p < .01), use of antihypertensive medication (β = .03, p < .01) and HDL Cholesterol (β = −.04, p < .01).

Table 2
Linear Regressions Predicting IMT from Agreeableness and its Facets

Replicating the concurrent analyses, domain-level Agreeableness and A2: Straightforwardness were both negative predictors of IMT measured approximately three years later. In addition, A1: Trust and A4: Compliance also prospectively predicted carotid thickening. Although the effect size did not change, A1: Trust was reduced to non-significance when all of the cardiovascular covariates were included in the analyses; the other three predictors remained significant. Age-adjusted mean-level differences in concurrent and prospective IMT for high and low Agreeableness are shown in Table 3. It is of note that the difference in IMT between high and low Agreeableness is roughly similar to the difference between individuals with metabolic syndrome and controls 23.

Table 3
Age-adjusted Mean-Level Differences in IMT between the Lowest 10% and Highest 10% of Agreeableness, A2: Straightforwardness, and A4: Compliance

Trait antagonism was associated with the progression of carotid artery thickening: Agreeableness, A2: Straightforwardness, and A4: Compliance predicted change in IMT between Time 1 and Time 2. Specifically, participants who scored higher on antagonism (low Agreeableness), especially those who were manipulative (low A2: Straightforwardness) and quick to express their anger (low A4: Compliance), had greater thickening, controlling for their previous IMT levels, than participants who scored lower on these traits. The same associations were found when either the basic covariates or all of the cardiovascular covariates were included in the analyses. In addition, all of the findings above held after accounting for the presence or absence of plaque, when controlling for carotid artery diastolic diameter, and when we excluded participants who had had a stroke.

Although age was not a consistent moderator both concurrently and prospectively, it did moderate the association between Agreeableness and change in IMT: Older participants who were disagreeable had greater progression of IMT over three years than older participants who were more agreeable; this association did not hold for younger participants (βA × age = −.04, p < .01). The same moderating effect of age was found for four of the facets: A1: Trust (βA1 × age = −.03, p < .01), A2: Straightforwardness (βA2 × age = −.04, p < .01), A4: Compliance (βA4 × age = −.02, p < .05), and A6: Tender-mindedness (βA6 × age = −.02, p < .05). That is, among older adults, the IMT of those who tended to be cynical, deceitful, express anger, and less concerned for others increased over time.

Both concurrently and prospectively, sex moderated the association between IMT and Agreeableness and three of its facets. Women who scored low on Agreeableness (βA × sex = .04, p < .01 and βA × sex = .04, p < .05, respectively), A2: Straightforwardness (βA2 × sex = .05, p < .01 and βA2 × sex = .03, p < .05, respectively), A4: Compliance (βA4 × sex = .03, p < .05 and βA4 × sex = .03, p = .06, respectively), or A5: Modesty (βA5 × sex = .06, p < .01 and βA5 × sex = .04, p < .01, respectively) had more carotid thickening than women who scored low on these traits; these associations were not as strong for men. Although there was a main effect of sex (β = .07, p < .01), such that men had greater carotid thickening than women, antagonism-related traits tended to close that gap among the most antagonistic participants in the sample (see Figure 1). That is, antagonistic women tended to have IMT values more similar to men. Finally, sex only moderated one of the associations between the traits and change in IMT: Women high in A6: Tender-mindedness increased the least over the three year period, whereas men high in this trait increased the most (βA6 × sex = .03, p < .01).

Figure
Predicted standardized intima-media thickness values as a function of Agreeableness and sex. The Agreeableness × sex interactions are plotted from standardized regression coefficients from the concurrent (A) and prospective (B) analyses.

Finally, we tested whether Agreeableness increased risk for IMT levels in the top quartile of the distribution (IMT ≥ .59). Controlling for the demographic variables and all cardiovascular risk factors, Agreeableness was associated with an approximately 16% reduction in risk (see Table 4). To determine whether this effect was driven by one end of the distribution of Agreeableness or the other, we compared the top and bottom 10% of Agreeableness. Participants who scored in the lower 10% of the distribution of Agreeableness, compared to the rest of the distribution, had a 40% increase in risk for elevated IMT (OR = 1.40, 95% CI = 1.04 – 1.87); the top 10% of the distribution of Agreeableness, compared to the rest of the distribution, did not significantly reduce risk (OR = .88, 95% CI = .68–1.13, ns). At the facet level, A1: Trust, A2: Straightforwardness, A3: Altruism, and A6: Tender-mindedness increased risk concurrently, A1: Trust, A2: Straightforwardness, and A4: Compliance increased risk prospectively.

Table 4
Logistic Regressions Predicting the 75th percentile of IMT from Agreeableness and its Facets

Discussion

Intima-media thickness, a measure of arterial wall thickness, is an independent predictor of stroke and future myocardial infarction that is sensitive to elevated blood pressure and chronic hypertension 10. In the present study, participants who scored high on trait antagonism, and in particular those who were manipulative (low A2: Straightforwardness) and aggressive (low A4: Compliance), had greater carotid thickening, measured both concurrently and prospectively. Indeed, those who scored in the bottom 10% of Agreeableness (i.e., those who were the most antagonistic) had an approximately 40% increase in risk for elevated IMT. Perhaps most notable, these traits also predicted greater progression of arterial thickening across the three years of the study.

Several hypotheses have been advanced that speculate on the mechanisms linking antagonistic-related traits with atherosclerosis. Key candidates include metabolic, behavioral, and social risk factors. Individuals high on antagonism-related traits, for example, are more likely to have metabolic syndrome, a constellation of metabolic risk factors 18. Among postmenopausal women, metabolic syndrome has been found to partially mediate the association between interpersonal anger and arterial thickening 18. In the present research, however, even after controlling for the components of metabolic syndrome, such as blood pressure and triglycerides, the association between antagonism and arterial thickening persisted. This result suggests that other mediators need to be considered.

Lifestyle factors, such as smoking and exercise, have also been hypothesized to mediate this relation 26. As with the metabolic risk factors, however, the association between antagonism and IMT persisted after controlling for smoking. Although we were unable to control for physical activity, antagonism is typically not associated with exercise behavior 27, and thus physical activity is unlikely to be a mediator. Antagonism is, however, associated with increases in adiposity over time 28, which may contribute to IMT. Although controlling for waist circumference did not reduce the antagonism-IMT relation to non-significance, antagonistic individuals may be at greater risk for the progression of atherosclerosis because they tend to gain weight at a more rapid pace over time.

Finally, other social and psychological factors associated with antagonism may link this trait with the progression of atherosclerosis. Antagonistic individuals tend to have a more competitive and conflictual style of social interaction that undermines interpersonal relations. Even when social support systems are in place, they do not benefit physiologically from such support 29, 30. Over time, deficits in social support may culminate in greater cardiovascular risk 31. In addition to social isolation, their attitudes may also increase risk. Antagonistic individuals tend to hold negative beliefs about groups other than their own 32 and are thus more prone to stereotyping. Interestingly, such stereotyping is associated with cardiovascular outcomes: Younger adults who hold negative stereotypes about aging are more likely to experience a cardiovascular event themselves over the next four decades 33. Antagonistic individuals may be at greater cardiovascular risk, in part, because they tend to hold negative stereotypes.

In the present study, both sex and age moderated some of the associations between the antagonistic traits and IMT. Men tend to have thicker arterial walls than women, making sex a strong risk factor for CHD 34. Antagonism-related traits among women appear to close this gap: Antagonistic women have similar carotid thickening to that of antagonistic men. Antagonism, particularly anger, has been related to greater cortisol reactivity 35 and such reactivity in women has been linked to a faster progression of atherosclerosis 36. In addition, hormonal exposure (especially during critical phases) or other physiological differences may have effects that lead women to express more masculine traits, both physiologically (arterial thickness) and psychologically (antagonism); that is, the same influences that lead to the expression of more masculine psychological traits may also lead to greater arterial thickness. Finally, although the association between antagonism and IMT was similar across all age groups at any given time (i.e., age did not moderate the concurrent or prospective associations between antagonism and IMT), antagonism predicted greater progression of arterial thickening only among the older participants in our sample.

The present study used a large sample size, two assessments of IMT approximately three years apart, and a comprehensive measure of trait antagonism to show that antagonism predicts the progression of carotid artery thickening. Further, our effects were independent of traditional demographic and cardiovascular risk factors. These strengths, however, need to be qualified. For example, there may be confounding variables that we did not assess. Further, our sample was from a rural population in Sardinia, Italy. Despite demographic differences, our findings were consistent with research on more cosmopolitan populations. Although they may appear small, the effect sizes found in the present study need to be considered within a broader context. As noted above, our associations were of similar magnitude to those of other major risk factors, including smoking, HDL cholesterol, and antihypertensive medication use, both in the current study and in others (e.g., 37). By comparison, antagonism ranks alongside many of the other major behavioral and physiological risk factors for cardiovascular disease. In addition, the associations were consistent across the concurrent, prospective, and progression analyses, indicating that these effects are unlikely to be random fluctuations. The findings were also consistent with the literature on antagonism-related traits and IMT and other cardiovascular outcomes, which, with our community-based sample, nicely complements the findings from more circumscribed samples. Finally, we did not test for any genetic mediators or moderators of the Agreeableness-IMT relations. Genome wide association analyses are currently underway in the SardiNIA and other cohorts to individuate replicable genetic variants associated with IMT. Once such variants are identified, it would be worthwhile to add a genetic component to this line of research.

Perspectives

The present research showed that interpersonal antagonism, particularly the disposition to be manipulative and aggressive toward others, was associated with carotid arterial thickening cross-sectionally and prospectively, and predicted increases in arterial thickening over time. These associations persisted even after accounting for traditional cardiovascular risk factors, such as hypertension and weight. Of note, the difference in IMT between those who score low and high in antagonism was roughly similar to the difference between individuals with metabolic syndrome and controls. Further, women with antagonistic traits had similar arterial thickening as men with antagonistic traits, indicating that the effect of sex on IMT was diminished among those high in antagonism.

Clinicians have long noted that those who suffer cardiovascular events tend to manifest anger and hostility-related traits. Research has supported this observation: Individual differences in antagonism-related traits predict a variety of cardiovascular outcomes, including stroke, fatal and non-fatal coronary events, silent myocardial infarctions, and cardiac revascularization procedures7, 8,9. We extend these associations to an intermediate phenotype, carotid artery intima-media thickness. In particular, trait antagonism predicts the progression of arterial thickening, and may be one potential mechanism through which antagonism leads to the development of cardiovascular disease. While personality traits, such as antagonism, are basic tendencies that are resistant to change, the expression of these traits, or their characteristic adaptations, is modifiable. Determining which personality traits contribute to arterial thickening will help to identify who is most at-risk and who would benefit most from targeted interventions. Interventions aimed at modifying coping mechanisms, improving anger management, as well other behavioral, emotional, and cognitive expressions of trait Antagonism (including unhealthy lifestyles), can play an important role in clinical practice.

Acknowledgments

Source of Funding

This research was supported entirely by the Intramural Research Program of the NIH, National Institute on Aging.

Footnotes

Disclosure

Paul Costa receives royalties from the Revised NEO Personality Inventory.

References

1. Dembroski TM, MacDougall JM, Williams RB. Components of type A, hostility, and anger-in: Relationship to angiographic findings. Psychosom Med. 1985;47:219–233. [PubMed]
2. MacDougall JM, Dembroski TM, Dimsdale JE, Hackett TP. Components of type A, hostility, and anger-in: further relationships to angiographic findings. Health Psychol. 1985;4:137–152. [PubMed]
3. Eaker ED, Sullivan LM, Kelly-Hayes M, D'Agostino RB, Benjamin EJ. Anger and hostility predict the development of atrial fibrillation in men in the Framingham Offspring Study. Circulation. 2004;109:1267–1271. [PubMed]
4. Costa PT, Stone SV, McCrae RR, Dembroski TM, Williams RB. Hostility, agreeableness-antagonism, and coronary heart disease. Holistic Med. 1987;2:161–167.
5. Smith TW, Glazer K, Ruiz JM, Gallo LC. Hostility, anger, aggressiveness, and coronary heart disease: An interpersonal perspective on personality, emotion, and health. J Pers. 2004;72:1217–1270. [PubMed]
6. Costa PT, Jr, McCrae RR. Revised NEO Personality Inventory (NEO-PI-R) and the NEO Five-Factor Inventory (NEO-FFI) professional manual. Odessa, FL: Psychological Assessment Resources; 1992.
7. Williams JE, Nieto FJ, Sanford CP, Couper DJ, Tyroler HA. The association between trait anger and incident stroke risk: The Atherosclerosis Risk in Communities (ARIC) study. Stroke. 2002;33:13–19. [PubMed]
8. Williams JE, Paton CC, Siegler IC, Eigenbrodt ML, Nieto FJ, Tyroler HA. Anger proneness predicts coronary heart disease risk: Prospective analysis from the atherosclerosis risk in communities (ARIC) study. Circulation. 2000;101:2034–2039. [PubMed]
9. Chida Y, Steptoe A. The association of anger and hostility With future coronary heart disease: A meta-analytic review of prospective evidence. J Am Coll Cardiol. 2009;53:936–946. [PubMed]
10. Puato M, Palatini P, Zanardo M, Dorigatti F, Tirrito C, Rattazzi M, Pauletto P. Increase in carotid intima-media thickness in grade I hypertensive subjects: White-coat versus sustained hypertension. Hypertension. 2008;51(5):1300–1305. [PubMed]
11. de Groot E, van Leuven SI, Duivenvoorden R, Meuwese MC, Akdim F, Bots ML, Kastelein JJP. Measurement of carotid intima-media thickness to assess progression and regression of atherosclerosis. Nat Clin Pract Cardiovasc Med. 2008;5:280–288. [PubMed]
12. Najjar SS, Scuteri A, Lakatta EG. Arterial aging: Is it an immutable cardiovascular risk factor? Hypertension. 2005;46:454–462. [PubMed]
13. Bleil ME, McCaffery JM, Muldoon MF, Sutton-Tyrrell K, Manuck SB. Anger-related personality traits and carotid artery atherosclerosis in untreated hypertensive men. Psychosom Med. 2004;66:633–639. [PubMed]
14. Narita K, Murata T, Takahashi T, Hamada T, Kosaka H, Yoshida H, Wada Y. The association between anger-related personality trait and cardiac autonomic response abnormalities in elderly subjects. Eur Arch Psychiatry Clin Neurosci. 2007;257:325–329. [PubMed]
15. Everson-Rose SA, Lewis TT, Karavolos K, Matthews KA, Sutton-Tyrrell K, Powell LH. Cynical hostility and carotid atherosclerosis in African American and white women: The Study of Women's Health Across the Nation (SWAN) Heart Study. Am Heart J. 2006;152 [PubMed]
16. Merjonen P, Pulkki-Råback L, Puttonen S, Keskivaara P, Juonala M, Telama R, Viikari J, Raitakari OT, Keltikangas-Järvinen L. Anger is associated with subclinical atherosclerosis in low SES but not in higher SES men and women. The Cardiovascular Risk in Young Finns Study. J Behav Med. 2008;31:35–44. [PubMed]
17. Matthews KA, Owens JF, Kuller LH, Sutton-Tyrrell K, Jansen-McWilliams L. Are hostility and anxiety associated with carotid atherosclerosis in healthy postmenopausal women? Psychosom Med. 1998;60:633–638. [PubMed]
18. Räikkönen K, Matthews KA, Sutton-Tyrrell K, Kuller LH. Trait anger and the metabolic syndrome predict progression of carotid atherosclerosis in healthy middle-aged women. Psychosom Med. 2004;66:903–908. [PubMed]
19. Williams JE, Couper DJ, Din-Dzietham R, Nieto FJ, Folsom AR. Race-gender differences in the association of trait anger with subclinical carotid artery atherosclerosis: The atherosclerosis risk in communities study. Am J Epidemiol. 2007;165:1296–1304. [PubMed]
20. Pilia G, Chen WM, Scuteri A, Orrú M, Albai G, Dei M, Lai S, Usala G, Lai M, Loi P, Mameli C, Vacca L, Deiana M, Olla N, Masala M, Cao A, Najjar SS, Terracciano A, Nedorezov T, Sharov A, Zonderman AB, Abecasis GR, Costa P, Lakatta E, Schlessinger D. Heritability of cardiovascular and personality traits in 6,148 Sardinians. PLoS Genet. 2006;2:1207–1223. [PMC free article] [PubMed]
21. Terracciano A. The Italian version of the NEO PI-R: Conceptual and empirical support for the use of targeted rotation. Pers Individ Dif. 2003;35:1859–1872. [PMC free article] [PubMed]
22. Scuteri A, Najjar SS, Muller DC, Andres R, Hougaku H, Metter EJ, Lakatta EG. Metabolic syndrome amplifies the age-associated increases in vascular thickness and stiffness. J Am Coll Cardiol. 2004;43:1388–1395. [PubMed]
23. Scuteri A, Samer S, Orru M, Usala G, Piras MG, Ferrucci F, Cao A, Schlessinger D, Uda M, Lakatta E. The central arterial burden of the metabolic syndrome is similar in men and women: The SardiNIA Study. Eur Heart J. 2010;31:602–613. [PMC free article] [PubMed]
24. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18:499–502. [PubMed]
25. Aiken LS, West SG. Multiple regression: Testing and interpreting interactions. Thousand Oaks, CA: Sage; 1991.
26. Everson SA, Kauhanen J, Kaplan GA, Goldberg DE, Julkunen J, Tuomilehto J, Salonen JT. Hostility and increased risk of mortality and acute myocardial infarction: The mediating role of behavioral risk factors. Am J Epidemiol. 1997;146:142–152. [PubMed]
27. Rhodes RE. Smith NEI. Personality correlates of physical activity: A review and meta-analysis. Br J Sports Med. 2006;40:958–965. [PMC free article] [PubMed]
28. Midei AJ, Matthews KA. Social relationships and negative emotional traits are associated with central adiposity and arterial stiffness in healthy adolescents. Health Psychol. 2009;28:347–353. [PMC free article] [PubMed]
29. Holt-Lunstad J, Smith TW, Uchino BN. Can hostility interfere with the health benefits of giving and receiving social support? The impact of cynical hostility on cardiovascular reactivity during social support interactions among friends. Ann Behav Med. 2008;35:319–330. [PubMed]
30. Lepore SJ. Cynicism, social support, and cardiovascular reactivity. Health Psychol. 1995;14:210–216. [PubMed]
31. Rozanski A, Blumenthal JA, Kaplan J. Impact of psychological factors on the pathogenesis of cardiovascular disease and implications for therapy. Circulation. 1999;99:2192–2217. [PubMed]
32. Ekehammar B, Akrami N. Personality and prejudice: From big five personality factors to facets. J Pers. 2007;75:899–926. [PubMed]
33. Levy BR, Zonderman AB, Slade MD, Ferrucci L. Age stereotypes held earlier in life predict cardiovascular events in later life. Psychol Sci. 2009;20:296–298. [PMC free article] [PubMed]
34. Expert panel on detection evaluation and treatment of high blood cholesterol in adults: Third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002;106:3143–3421. [PubMed]
35. Moons WG, Eisenberger NI, Taylor SE. Anger and fear responses to stress have different biological profiles. Brain Behav Immun. 2010;24:215–219. [PubMed]
36. Eller NH, Netterstrøm B, Allerup P. Progression in intima media thickness: The significance of hormonal biomarkers of chronic stress. Psychoneuroendocrinology. 2005;30:715–723. [PubMed]
37. Pastorius CA, Medina-Lezama J, Corrales-Medina F, Bernabé-Ortiz A, Paz-Manrique R, Salinas-Najarro B, Khan ZA, Takahashi J, Toshima G, Zea-Diaz H, Postigo-MacDowall M, Chirinos-Pacheco J, Ibañez F, Chirinos DA, Saif H, Chirinos JA. Normative values and correlates of carotid artery intima-media thickness and carotid atherosclerosis in Andean-Hispanics: The Prevencion Study. Atherosclerosis. in press. [PMC free article] [PubMed]