Psychosomatic Medicine
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

Published online before print May 17, 2007, 10.1097/PSY.0b013e318052e27d
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Jonassaint, C. R.
Right arrow Articles by Barefoot, J. C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Jonassaint, C. R.
Right arrow Articles by Barefoot, J. C.
Related Collections
Right arrow Personality
Right arrow Coronary Artery Disease
Psychosomatic Medicine 69:319-322 (2007)
© 2007 American Psychosomatic Society


ORIGINAL ARTICLES

Facets of Openness Predict Mortality in Patients With Cardiac Disease

Charles R. Jonassaint, MA, Stephen H. Boyle, PhD, Redford B. Williams, MD, Daniel B. Mark, MD, Ilene C. Siegler, PhD, MPH and John C. Barefoot, PhD

From the Department of Psychology (C.R.J.), Duke University, Durham, North Carolina; Department of Psychiatry (S.H.B., R.B.W., I.C.S., J.C.B.), Duke University Medical Center, Durham, North Carolina; and Division of Cardiology (D.B.M.), Department of Medicine, Durham, North Carolina.

Address correspondence and reprint requests to John Barefoot, Department of Psychiatry, Behavioral Medicine Research Center, Duke University Medical Center, Durham, NC 27710. E-mail: John.Barefoot{at}duke.edu


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 NOTES
 REFERENCES
 
Objective: To examine the NEO Personality Inventory (NEO PI) Openness to Experience (O) domain and its facets as predictors of cardiac deaths and all-cause mortality.

Methods: The NEO PI was administered to a sample of 977 coronary catheterization patients with significant coronary artery disease. Over an average 15-year follow-up period, 266 cardiac deaths and 463 total deaths occurred. The relationships of O scores to mortality were examined with Cox proportional hazard models. Each model included age, left ventricular ejection fraction, severity of congestive heart failure, and number of diseased vessels as covariates.

Results: The O domain score was not associated with all-cause mortality and only approached significance for decreased cardiac deaths (p = .055). However, a higher score for Openness to Feelings was associated with a decreased risk of cardiac death (p < .01) and all-cause mortality (p < .01). High Openness to Actions was also associated with decreased cardiac mortality (p < .01) and all-cause mortality (p = .03) risk. Higher Openness to Aesthetics and Ideas were only associated with decreased cardiac death risk (both p values <.04). In contrast, Openness to Fantasy and Values were not associated with longevity. Previous evidence suggested that educational achievement may account for the effects of Openness to Experience on mortality; however, controlling for educational achievement did not change the results.

Conclusion: These findings suggest that greater emotional awareness and high curiosity, as indicated by the NEO PI Feelings and Actions facets, are associated with increased patient longevity independently of other risk factors and educational achievement.

Key Words: mortality • coronary artery disease • personality

Abbreviations: CAD = coronary artery disease; FFM = Five-Factor Model; O = Openness to Experience domain


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 NOTES
 REFERENCES
 
Personalityplays an important role in the survival of patients with established coronary artery disease (CAD) (1). The Five-Factor Model (FFM) of personality provides a useful framework for the study of personality and health. The FFM is a hierarchical model, positing that human personality can be captured by five broad domains—Neuroticism, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness—each of which is made up of more specific traits or facets (2). Of the big five personality domains, Openness to Experience (O) has received the least attention in health psychology research (3).

People who score high on O are described as being more willing to entertain novel ideas and experiences and have unconventional values. These individuals generally experience positive and negative emotions more intensely. In contrast, low scorers behave more conservatively and retain more conventional values and outlooks and experience a narrower range of emotional responses than high scorers (2). Three previous studies have found that the O domain did not predict longevity in healthy elders and patients with chronic renal insufficiency (4–6). However, these studies did not examine the facets of the O domain.

One important factor to consider in any study examining the effect of O on health outcome is that O is moderately associated with cognitive ability and academic performance (7–9). As such, it is possible that O is a proxy measure for educational attainment, which is strongly related to health outcomes and mortality (10–12). Thus, studies investigating the relationship between O and health should control for this potential confound.

The primary goal of the present study was to examine if O or any of its six facets predicted cardiac or all-cause mortality in a large sample of patients with CAD, who were followed for an average of 15 years. In addition to the domain and facet predictors, we included a measure of educational attainment to determine if that accounted for any significant relationships of O or its facets to longevity.


    METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 NOTES
 REFERENCES
 
Participants
Between October 1985 and April 1989, 1507 patients admitted to Duke University Medical Center underwent coronary angiography for suspected CAD. These patients did not have unstable anginal symptoms, were able to read at the sixth grade level, and were administered a battery of psychological tests including the NEO Personality Inventory (NEO PI) (13). From this sample, 977 patients who were found to have significant CAD—defined as >75% diameter narrowing of at least one coronary artery—were enrolled in a follow-up study for mortality. This prospective study was approved by the Duke University Medical Center Institutional Review Board. Of the 977 patients, three patients were excluded from analyses due to missing follow-up data. This resulted in a sample consisting of 974 (94.5% Caucasian) patients. Furthermore, due to the missing NEO PI data on various scales, numbers for Cox models predicting cardiac mortality and all-cause mortality were 930 and 935, respectively. Baseline characteristics of the total sample are shown in Table 1.


View this table:
[in this window]
[in a new window]

 
TABLE 1. Baseline Characteristics of Participants (N = 935)

 

Personality Inventory
The O domain and its facets were measured by the 180-item NEO-PI (13). Participants who failed to complete >25% of the items on a scale were removed from analyses. Individuals dropped from analyses due to missing NEO PI data were similar in age and disease severity, but they had lower education (p = .02) than subjects included in the analyses. The domain and facet scores used for analyses were calculated by averaging across the items to control for missing data. Simulations have suggested that averaging the available items provides unbiased estimates and is a reasonable alternative to more complex statistical approaches such as multiple imputation (14). For purposes of comparison, the gender normed T scores for the O domain and facets are presented in Table 1. Facet scales are described in Table 2.


View this table:
[in this window]
[in a new window]

 
TABLE 2. Openness Facet Descriptions

 

Procedures
Follow-up of the patients was conducted at 6 months and 12 months after catheterization and annually thereafter. For these analyses, June 2002 was considered the end of follow-up. As of that date, 463 patients had died from all causes, of which 266 were cardiac deaths. Procedures for the documentation of cause of death have been described elsewhere (15). Cardiac deaths were determined on the basis of information provided by the patient’s physician. Cause of death was coded as cardiac or noncardiac by two Duke Clinical Research Institute staff, who had no knowledge of the patient’s scores on the O domain or facet scales. A staff physician resolved any discrepancies in the coding of cause of death between coders. Total mortality and cardiac deaths were the end points used in the present study. Cause of death had not yet been determined for five patients. The average length of follow-up for participants who did not die was 14.68 years (standard deviation = 0.87).

Analyses
The relationships of the O domain and its facets to survival were examined by Cox proportional hazard models. The O domain and each facet were modeled separately. Each model included age and measures of disease severity as covariates to control for confounding. Associations between gender and survival have varied across studies, depending on factors such as patient selection criteria, covariates, and timing of the follow-up period (16,17). Studies using methods similar to those employed in the present study have not observed gender differences in survival (18). To confirm this in the present sample, we tested the association between gender and mortality, controlling for age and clinical indicators of disease. No effect of gender was observed; therefore, it was not included in the main analyses.

Disease severity was indexed by three variables: number of diseased vessels, severity of congestive heart failure, and left ventricular ejection fraction. Effect sizes are reported as hazard ratios comparing a person at the 75th percentile of each scale with the 25th percentile. Thus, effect size is interpreted as the risk of a person in the middle of the upper half of the distribution compared with the risk of a person in the middle of the lower half of the scale’s distribution. In a secondary set of analyses, education—determined by subject’s report of completed years of education—was added to each model examining the relationship between O facets and survival. Due to missing education data, 143 subjects were not included in those analyses. Individuals with and without education data did not differ on O domain or facet scores.

An assumption of the proportional hazards model is that the effect of the predictor (i.e., Openness to Experience and its facets) is constant over time. To test this assumption, we included a time-dependent covariate consisting of the interaction of the predictor variable and the log of survival time in the model. The results of these tests indicated that there were no significant violations of the proportional hazards assumption (all p values >.05).


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 NOTES
 REFERENCES
 
The O domain was not significantly related to cardiac deaths or all-cause mortality risk, but there was a trend for cardiac deaths, indicating that higher O was protective (Table 3). However, analysis of the facets demonstrated that, even after controlling for age and disease severity, differences between the 25th and 75th percentile scores on Openness to Feelings and Openness to Actions were associated with a 24% and 23% reduction in cardiac death risk and a 17% and 14% reduction in all-cause mortality risk, respectively (Table 3). Openness to Ideas was also protective against cardiac deaths (18% reduction in risk) and approached significance for total mortality. Additionally, Openness to Aesthetics was protective against cardiac deaths (15% reduction in risk). In contrast, Openness to Fantasy and Openness to Values were not significantly related to longevity. Openness to Values showed a trend in the opposite direction of the other facets and the overall domain. Higher Openness to Values tended to be associated with increased risk of cardiac deaths, suggesting that individuals who were more closed to values tended to be less likely to suffer from cardiac death during the follow-up period. As expected, all covariates were significant predictors of survival.


View this table:
[in this window]
[in a new window]

 
TABLE 3. Effect of Openness Domain and Facets on Cardiac (n = 930) and All-Cause Mortality (n = 935), Adjusted for Age and Disease Severity

 

Educational attainment was strongly correlated with the O domain (r(1,808) = 0.42; p < .01); however, educational attainment did not predict cardiac or all-cause mortality. Furthermore, when controlling for educational attainment, we found no substantial changes in the effects of the O domain and facets on cardiac or all-cause mortality.


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 NOTES
 REFERENCES
 
Consistent with previous investigations (4–6), the present study showed that the overall O domain did not significantly predict all-cause mortality. This study also extends previous null findings by examining the association between O and mortality in patients with documented CAD, almost half of whom died within the follow-up period. Although not significant, a trend showed that higher O was associated with 15% decrease in cardiac death risk.

Past studies did not consider the facets of the O domain. Examination of these lower-level traits showed, independently of age and disease severity, that higher scores on Openness to Feelings and Openness to Actions were associated with longer survival. Follow-up analyses indicated that the significant associations between O facets and mortality were not the result of differences in educational attainment. Our findings that Openness to Feelings and Openness to Actions were related to survival are consistent with previous investigations reporting significant associations between similar constructs—alexithymia and curiosity— and mortality.

Alexithymia, which is characterized by blunted affect and low emotional awareness, is related to mortality risk (19). On its face, Openness to Feelings is a similar construct to Alexithymia and, in fact, is also correlated with the Toronto Alexithymia scale (20). Low emotional awareness may lead to disease via several physiological, behavioral, social, or cognitive mechanisms (21). Low scorers on Openness to Feelings experience a narrower range of affect and are less able to identify their emotions than high scorers (22). Deficits in emotional awareness have been associated with heightened physiological arousal (23) and other known behavioral risk factors such as social isolation (24) and heavy alcohol use (25). In addition, difficulty identifying feelings has been linked to negative affective states such as depression, somatic complaints, and anxiety (26,27).

High scorers on Openness to Actions are willing to explore new experiences and different aspects of self (2), a concept similar to that of curiosity—a psychological trait that has also been linked to mortality (28). Low curiosity may negatively affect health via numerous mechanisms. Individuals scoring low on Openness to Actions (i.e., low curiosity) may be unable to adapt effectively to or accept changes in their routine or environment. Under stress, they may be less likely to cope actively by seeking new friendships or new solutions to current problems (28). Furthermore, low curiosity may indicate aging of the central nervous system (29), one possible biological mechanism leading to the diminished novelty-seeking behavior in this group.

In addition to findings with the Feelings and Actions facets, Openness to Aesthetics and Ideas were also associated with decreased cardiac deaths whereas Fantasy had no association with longevity. In contrast to the protective effects of other O facets, high Openness to Values showed a trend toward increased risk for cardiac deaths. That one facet seemed to be associated with elevated mortality risk, another showed no association, and others were protective may help to explain the previous null results in relationship to the O domain (4–6). It is not clear why high scores on Aesthetics and Ideas and lower scores on Values may have been protective. However, because these effects were weaker, caution should be taken in the interpretation of these results.

The results of this study might be the product of multiple explorative tests; however, considering the significance levels for the effects of the Feelings and Actions facet on mortality, this is unlikely to be the explanation. Replications of the O facet effects on mortality in population samples are needed to determine their generality.

The results of the present study provide new ideas about how personality is related to important health outcomes such as mortality. In addition, the present study shows that examining the lower-order facets of personality, as operationalized by the FFM, enables one to detect relationships that are not captured by higher-order constructs alone. The pattern of results obtained in the current study demonstrates the importance of this approach for future studies.


    NOTES
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 NOTES
 REFERENCES
 
This study was supported by Grant PO1-HL36587 and Grant RO1-HL54780 from the National Heart Lung and Blood Institute and Grant RO1-HL55356 from the National Heart Lung and Blood Institute with co-funding by the National Institute on Aging. Additional support was provided by the Duke Behavioral Medicine Research Center.

A version of this paper has been presented previously: Jonassaint CR, Boyle SH, Williams RB, Siegler IC, Barefoot JC. Facets of the openness to experience domain predict cardiac death and all-cause mortality. Psychosom Med 2005:67:A90(Abstract 1304). Available at http://www.psychosomaticmedicine.org/cgi/data/67/1/DC1/1.

Received for publication September 3, 2006; revision received January 22, 2007.

DOI:10.1097/PSY.0b013e318052e27d


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 NOTES
 REFERENCES
 

  1. Smith TW, Ruiz JM. Psychosocial influences on the development and course of coronary heart disease: current status and implications for research and practice. J Consult Clin Psychol 2002;70:548–68.[CrossRef][Medline]
  2. Costa PT, McCrea RR. Revised NEO personality inventory (NEO PI-R) and NEO five-factor inventory (NEO-FFI). Odessa, Florida: Psychological Assessment Resources; 1992.
  3. Marshall GN, Wortman CB, Vickers RR, Jr., Kusulas JW, Hervig LK. The five-factor model of personality as a framework for personality-health research. J Pers Soc Psychol 1994;67:278–86.[CrossRef][Medline]
  4. Christensen AJ, Ehlers SL, Wiebe JS, Moran PJ, Raichle K, Femeyhough K, Lawton WJ. Patient personality and mortality: a 4-year prospective examination of chronic renal insufficiency. Health Psychol 2002;21:315–20.[CrossRef][Medline]
  5. Weiss A, Costa PT, Jr. Domain and facet personality predictors of all-cause mortality among Medicare patients aged 65 to 100. Psychosom Med 2005;67:724–33.[Abstract/Free Full Text]
  6. Wilson RS, Mendes de Leon CF, Bienias JL, Evans DA, Bennett DA. Personality and mortality in old age. J Gerontol B Psychol Sci Soc Sci 2004;59:110–6.
  7. Clifford JS, Boufal MM, Kurtz JE. Personality traits and critical thinking skills in college students: empirical tests of a two-factor theory. Assessment 2004;11:169–76.[Abstract/Free Full Text]
  8. Costa PT, Jr., Fozard JL, McCrae RR, Bosse R. Relations of age and personality dimensions to cognitive ability factors. J Gerontol 1976;31:663–9.[Abstract]
  9. Goff M, Ackerman PL. Personality-intelligence relations: assessment of typical intelligence engagement. J Educ Psychol 1992;84:537–52.[CrossRef]
  10. Bucher HC, Ragland DR. Socioeconomic indicators and mortality from coronary heart disease and cancer: a 22-year follow-up of middle-aged men. Am J Public Health 1995;85:1231–6.[Abstract/Free Full Text]
  11. Smith GD, Wentworth D, Neaton JD, Stamler R, Stamler J. Socioeconomic differentials in mortality risk among men screened for the multiple risk factor intervention trial: II. Black men. Am J Public Health 1996;86:497–504.[Abstract/Free Full Text]
  12. Steenland K, Henley J, Thun M. All-cause and cause-specific death rates by educational status for two million people in two American Cancer Society cohorts, 1959–1996. Am J Epidemiol 2002;156:11–21.[Abstract/Free Full Text]
  13. Costa PT, McCrea RR. The NEO personality inventory manual. Odessa, Florida: Psychological Assessment Resources; 1985.
  14. Schafer JL, Graham JW. Missing data: our view of the state of the art. Psychol Methods 2002;7:147–77.[CrossRef][Medline]
  15. Harris PJ, Lee KL, Harrell FE, Jr, Behar VS, Rosati RA. Outcome in medically treated coronary artery disease. Ischemic events: nonfatal infarction and death. Circulation 1980;62:718–26.[Abstract/Free Full Text]
  16. Bonarjee VV, Rosengren A, Snapinn SM, James MK, Dickstein K, OPTIMAAL Study Group. Sex-based short- and long-term survival in patients following complicated myocardial infarction. Eur Heart J 2006;27:2177–83.[Abstract/Free Full Text]
  17. Vaccarino V, Krumholz HM, Berkman LF, Horwitz RI. Sex differences in mortality after myocardial infarction: is there evidence for an increased risk for women? Circulation 1995;91:1861–71.[Abstract/Free Full Text]
  18. Harris PJ, Harrell FE, Jr, Lee KL, Behar VS, Rosati RA. Survival in medically treated coronary artery disease. Circulation 1979;60:1259–69.[Free Full Text]
  19. Kauhanen J, Kaplan GA, Cohen RD, Julkunen J, Salonen JT. Alexithymia and risk of death in middle-aged men. J Psychosom Res 1996;41:541–9.[CrossRef][Medline]
  20. Luminet O, Bagby RM, Wagner H, Taylor GJ, Parker JD. Relation between alexithymia and the five-factor model of personality: a facet-level analysis. J Pers Assess 1999;73:345–58.[CrossRef][Medline]
  21. Lumley MA, Stettner LL, Wehmer FF. How are alexithymia and physical illness linked? A review and critique of pathways. J Psychosom Res 1996;41:505–18.[Medline]
  22. Terracciano A, McCrae RR, Hagemann D, Costa PT. Individual difference variables, affective differentiation, and the structures of affect. J Pers 2003;71:669–704.[CrossRef][Medline]
  23. Taylor GJ, Bagby RM, Parker JD. The alexithymia construct. A potential paradigm for psychosomatic medicine. Psychosomatics 1991;32:153–64.[Abstract/Free Full Text]
  24. Kauhanen J, Kaplan GA, Julkunen J, Wilson TW, Salonen JT. Social factors in alexithymia. Compr Psychiatry 1993;34:330–5.[CrossRef][Medline]
  25. Kauhanen J, Julkunen J, Salonen JT. Coping with inner feelings and stress: heavy alcohol use in the context of alexithymia. Behav Med 1992;18:121–6.[Medline]
  26. Hendryx MS, Haviland MG, Shaw DG. Dimensions of alexithymia and their relationships to anxiety and depression. J Pers Assess 1991;56:227–37.[CrossRef][Medline]
  27. Lumley MA, Norman S. Alexithymia and health care utilization. Psychosom Med 1996;58:197–202.[Abstract]
  28. Swan GE, Carmelli D. Curiosity and mortality in aging adults: a 5-year follow-up of the Western Collaborative Group Study. Psychol Aging 1996;11:449–53.[CrossRef][Medline]
  29. Daffner KR, Scinto LF, Weintraub S, Guinessey J, Mesulam MM. The impact of aging on curiosity as measured by exploratory eye movements. Arch Neurol 1994;51:368–76.[Abstract/Free Full Text]



This article has been cited by other articles:


Home page
Psychosom. Med.Home page
M. V. Stanton, C. R. Jonassaint, R. B. Williams, and S. A. James
Socioeconomic Status Moderates the Association Between John Henryism and NEO PI-R Personality Domains
Psychosom Med, February 1, 2010; 72(2): 141 - 147.
[Abstract] [Full Text] [PDF]


Home page
Psychosom. Med.Home page
M. D. Taylor, M. C. Whiteman, G. R. Fowkes, A. J. Lee, M. Allerhand, and I. J. Deary
Five Factor Model Personality Traits and All-Cause Mortality in the Edinburgh Artery Study Cohort
Psychosom Med, July 1, 2009; 71(6): 631 - 641.
[Abstract] [Full Text] [PDF]


Home page
Psychosom. Med.Home page
A. Terracciano, C. E. Lockenhoff, A. B. Zonderman, L. Ferrucci, and P. T. Costa Jr
Personality Predictors of Longevity: Activity, Emotional Stability, and Conscientiousness
Psychosom Med, July 1, 2008; 70(6): 621 - 627.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Jonassaint, C. R.
Right arrow Articles by Barefoot, J. C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Jonassaint, C. R.
Right arrow Articles by Barefoot, J. C.
Related Collections
Right arrow Personality
Right arrow Coronary Artery Disease


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS