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Type D personality is associated with impaired psychological status and unhealthy lifestyle in Icelandic cardiac patients: A cross-sectional study
© Svansdottir et al; licensee BioMed Central Ltd. 2012
Received: 30 August 2010
Accepted: 18 January 2012
Published: 18 January 2012
Type D (distressed) personality has been associated with adverse cardiac prognosis and poor emotional well-being in cardiac patients, but it is still unclear what mechanisms link Type D personality with poor clinical outcomes in cardiac patients. In the present cohort of Icelandic cardiac patients, we examined potential pathways that may explain this relationship. The objectives were to examine 1) the association between Type D personality and impaired psychological status, and to explore whether this association is independent of disease severity; and 2) the association between Type D personality and an unhealthy lifestyle.
A sample of 268 Icelandic coronary angiography patients (74% males (N = 199); mean age 62.9 years (SD 10.5), range 28-85 years) completed the Type D Scale (DS14), Hospital Anxiety and Depression Scale (HADS), and Perceived Stress Scale (PSS) at hospitalization. Health-related behaviors were assessed 4 months following angiography. Clinical data were collected from medical files.
Type D personality was associated with an increased risk of anxiety (OR 2.97, 95% CI:1.55-5.69), depression (OR 4.01, 95% CI:1.42-11.29), and stress (OR 5.99, 95% CI:3.08-11.63), independent of demographic variables and disease severity. Furthermore, fish consumption was lower among Type Ds, as 21% of Type Ds versus 5% of non-Type Ds consumed fish < 1 a week (p < 0.001). Type D patients were also more likely to smoke at follow-up (22% versus 10%, p = 0.024) and to use antidepressants (17% versus 9%, p = 0.049) and sleeping pills (49% versus 33%, p = 0.019) compared to non-Type Ds. Type D personality was not associated with other health-related behaviors, aside from trends towards less fruit and vegetable consumption, and more weight gain.
Type D personality was associated with psychological distress and an unhealthy lifestyle in Icelandic cardiac patients. Future studies should further investigate the association between Type D personality and health-related behaviors.
Evidence linking psychological factors with adverse prognosis in patients suffering from cardiovascular disease (CVD) has accumulated in recent years [1, 2]. In this realm of research, one specific personality construct, the Type D (distressed) personality, has shown particular promise as a potential risk factor for poor prognosis in CVD patients. Type D personality refers to high scores on two stable personality traits, negative affectivity (NA) and social inhibition (SI), and portrays individuals who frequently experience negative emotions (elevated NA), but tend to inhibit emotional expression due to fear of rejection (elevated SI) . This combination of elevated negative affect and high social inhibition is thought to have a negative impact on clinical outcomes in cardiac patients, rather than one of the two personality traits alone .
The Type D personality concept was originally developed to identify cardiac patients at risk of developing emotional and interpersonal difficulties [3, 5], and has as such, been strongly associated with psychological comorbidity in cardiac patients, e.g. post-traumatic stress disorder , anxiety [7–9], depression [9, 10], and vital exhaustion . However, further research revealed that Type D personality is also associated with increased morbidity , mortality [13–15] and a poor quality of life  across diverse CVD patient groups, where it has been associated with a 3-fold increased risk of poor prognosis . Several studies have demonstrated that the effect of Type D personality on adverse outcomes is independent of biomedical risk factors, such as hypertension [14, 16] and disease severity, comprised by multi-vessel disease and left ventrical function [14, 18].
It is still unclear what mechanisms link Type D personality with poor clinical outcomes in CVD patients . Mediating mechanisms may include both physiological and behavioral factors [13, 23, 24]. Recent findings have suggested that negative health-related behavior  and inadequate consultation behavior  may play a role in the behavioral factor vicinity. Individuals experiencing psychological distress may for instance be more prone to use maladaptive coping styles, such as increased smoking and poor diet , which again can negatively impact the disease process. Further investigations on how Type D personality influences the health of cardiac patients are needed, especially since such analysis would provide clues for possible targets for intervention in these patients [13, 14]. In addition, there is also a need for more cross-cultural investigations on Type D personality and its influence, since previous investigations have primarily focused on samples of Belgian and Dutch origin .
The aim for the present study was twofold: (1) to investigate the relationship of Type D personality with anxiety, depression and stress in Icelandic cardiac patients, and to explore whether this association is independent of indicators of disease severity; and (2) to investigate the relationship of Type D personality with certain health-related behaviors in these patients.
The original participant sample consisted of 315 patients who underwent a coronary angiography at Landspitali-University hospital from January to May 2008. These patients were a part of a larger study, the "Risk factors, prognosis and success of medical procedures in patients undergoing coronary angiography at Landspitali-University Hospital", and were included in the current study because they answered additional questionnaires measuring anxiety, depression and stress at baseline. Participants were first approached when hospitalized to the coronary care unit or upon arrival to the emergency ward. Follow-up assessments were administered with a phone call to participants in July 2008, approximately four months after discharge (M = 106 days, (SD 27.2 days)). A total of 268 patients (85%) completed the follow-up, and were included in the final study sample. Of the excluded 47 patients (15%), six patients (2%) were deceased, one patient lived abroad and was therefore not included in follow-up, three individuals (1%) refused to participate in the follow-up and the remaining 37 (11%) could not be reached. The follow-up group did not differ in age from the patient group not reached at follow-up (M = 62.8 years, (SD 10.5) versus M = 65.4 years (SD 9.3), t(313) = 1.56, p = 0.12). The study protocol was approved by the medical ethics committee of The National Bioethics Committee in Iceland. The study was conducted conform to the ethical tenets developed by the World Medical Association, as espoused in the Declaration of Helsinki. All patients provided written informed consent.
Information concerning gender and age was gathered from medical records, while data concerning educational level (elementary, higher education (secondary or university)) and family status (living alone/widowed, married/living with partner) were collected by self-report from participants.
Clinical variables measured at baseline
Information regarding disease classification, traditional coronary artery disease (CAD) risk factors, and disease severity were retrieved from patients' medical records. Information on disease status was classified as follows: CAD, myocardial infarction (MI), arrhythmias, heart valve disease and heart failure. Traditional CAD risk factors were defined in the following way: smoking (yes, no); hypertension (no hypertension treatment, current hypertension treatment); on blood-lipid lowering medication (no, yes); diabetes (no, yes); and overweight (body mass index, BMI). Disease severity was defined by a) the number of coronary arteries affected by CAD (0 or 1 artery versus ≥ 2 arteries), and b) cardiac history (previous percutaneous coronary intervention (PCI), previous MI, and/or a previous coronary artery bypass surgery (CABG)).
All participants were administered the Icelandic versions of the Type D scale (DS14) , the Hospital Anxiety and Depression Scale (HADS) , and the Perceived Stress Scale (PSS)  at baseline, when hospitalized for a coronary angiography.
The DS14 comprises two seven-item subscales (NA and SI) in order to measure the tendency to experience negative emotions (NA, "I am often irritated") and the tendency to inhibit self-expression in social interactions (SI, "I am a closed kind of person"), the two components of Type D personality. The report answer format is on a Likert scale ranging from 0 (false) to 4 (true). Total scores on both subscales range from 0 to 28. Participants were defined as having Type D personality if they scored ≥ 10 on both subscales . A recent study using item-response theory has shown the cut of ≥ 10 to be the best to distinguish between Type D and non-Type D individuals . Results from factor analyses on the scale have indicated a clear two factor structure, representing negative affectivity and social inhibition [19, 31, 32]. The Icelandic version of the DS14 has good internal consistency (Cronbach's α = 0.87-0.88 for NA; Chronbach's α = 0.84-0.85 for SI) and psychometric evaluations have supported the construct validity of the scale .
The HADS measures symptoms of anxiety and depression and was specifically developed and tested in physically ill people . This questionnaire contains seven items for each mood status. Participants answer on a four-point scale (0-3) how well each statement refers to them, and total scores for each domain range from 0 to 21. The Icelandic version of the HADS identifies symptoms of depression and anxiety sufficiently well , and reliability estimates across various studies range from 0.78-0.86 for anxiety and 0.65-0.85 for depression . Continuous scores on the HADS were used for the main analysis and dichotomous scores were used for a logistic regression. Depression and anxiety scores on HADS were categorized in a similar way as recommended by the authors, with the exception that borderline symptoms and full symptoms were pooled into one category, such that scores ≥ 8 indicated presence of symptoms of anxiety and depression.
The PSS is a 14-item questionnaire which measures perceived stress , more specifically, the degree to which situations in one's life are appraised as stressful. Items include questions such as "In the last month, how often have you felt nervous and stressed" and "In the last month, how often have you felt that you were unable to control the important things in your life?" Responses are measured on a five-point Likert scale ranging from 0 (never) to 4 (very often), and the total score ranges from 0 to 56. The PSS has good psychometric properties [29, 36]. The Icelandic version of the PSS has comparable psychometric properties to the original version (Davíðsdóttir S, Bachman T, [Association of stress and gender with health and health-habits], Bachelor's thesis, University of Iceland, 1991), with reliability coefficients of α = 0.89 in a healthy sample and α = 0.90 in a patient sample (Svansdóttir E, [Translation and psychometric evaluation of the DS-14 scale among university students and heart patients], cand. psych thesis, University of Iceland, 2006). In the current study, continuous scores were used for the main analysis. To indicate heightened symptoms of perceived stress, we used a cut-off score at the 75th percentile.
Health-related behaviors measured at four-month follow-up
Assessment of health-related behaviors was conducted four-months after discharge, by a phone call by a researcher to participants, where standard questions regarding exercise, diet, smoking and psychopharmacological medication use were administered. Specific questions included: a) whether patients engaged in sufficient exercise per week (> 20 min 3× a week); b) whether patients had gained weight after discharge (yes, no); c) rehabilitation attendance after discharge (yes, no); d) whether they had breakfast every morning (yes, no); e) daily consumption of fruits and vegetables (not daily, daily); f) frequency of fish consumption (< once per week, weekly); g) smoking (yes, no); and h) regular use of sleeping pills, antidepressants, and/or anxiety-reducing medication.
Prior to analysis, missing values on the DS14, HADS and PSS were replaced if the number of missing items per participant did not exceed three on the DS14 and HADS subscales, or four for the total PSS scale. Missing items were replaced with each participant's average score on the subscale the missing items belonged to. For each scale, replaced missing items were ≤ 1% of the total number of items. Four patients (1.5%) did not complete the HADS scale adequately and were excluded from all analysis that included HADS scores. Sixteen patients (6%) had ≥ four items missing on the PSS scale, and were excluded from analysis involving PSS scores.
Differences in demographics, clinical variables and health-related behavior between Type D and non-Type D individuals were explored with chi-square calculations for nominal variables and independent t-tests for continuous variables. Independent t-tests were administered to examine basic differences in anxiety, depression and stress scores between Type D and non-Type D patients. The association of Type D personality with anxiety, depression and perceived stress was assessed with multiple linear regressions. Each separate model was implemented with a hierarchical entry, where Type D personality was inserted at the first step, while age, gender, disease severity, cardiac history, education and family status were added in the second step as covariates. Two outliers were identified in the anxiety and depression models and excluded from further analysis in those models. Underlying assumptions were inspected for each regression model and indicated no problems. The effect size for differences in anxiety, depression, and perceived stress scores by Type D personality were estimated using Cohen's d calculations. Linear regression analysis was used to test the unique and shared predictive power of both Type D components for anxiety, depression and stress, where continuous NA and SI scale scores (0-28) were included as predictors instead of Type D personality. Each linear regression model was run twice, first with NA inserted at the first step and SI at the second step, and then with SI inserted at the first step and NA at the second step, in order to assess the unique explained variance of NA and SI. Furthermore, a logistic regression, which incorporated the same covariates as the linear regression, was conducted to assess the odds ratio associated with Type D patients for manifestation of increased symptoms of anxiety, depression, and stress. For this analysis, all predictors were inserted into the model simultaneously using the enter method.
Finally, a re-analysis was conducted for all significant associations where the Type D/non-Type D categorization (≥ 10 on NA and SI) was substituted with continuous NA and SI scale scores . Inter-quartile ranges were used to rescale NA and SI scores and the NA by SI interaction term, so that a one unit difference represented a clinically relevant metric. Within these NA inter-quartile distribution, 70% (N = 49) of Type Ds fell within the 4th quartile, and 30% (N = 21) within the 3rd quartile. For SI 49% (N = 34) of Type Ds fell within the 4th quartile and 51% (N = 36) within the 3rd quartile. In the inter-quartile NA by SI scores, 89% (N = 62) of Type Ds were within the 4th quartile and 11% (N = 8) within the 3rd quartile. Linear regression models for anxiety, depression, and stress were re-executed, with NA, SI and the NA by SI interaction term entered at the first step and covariates at the second. For health-related risk markers, binary logistic regression analyses (stepwise procedure) were used with NA, SI and the NA by SI interaction term as predictors.
All analyses were two-tailed and alpha < 0.05 was used to indicate statistical significance. The SPSS 17 statistical software for windows was used for the analysis (Statistical Package for Social Sciences, Chicago, IL, USA).
Demographical and clinical variables
Differences in demographical and clinical variables between Type D and non-Type D patients*
Total (N = 268)
non-Type D (N = 198)
Type D (N = 70)
Age Mean (SD)
Elementary education (N = 267)
Coronary artery disease
Heart valve disease
Unspecified chest pain/other
CAD risk factors and disease severity**
High blood-lipids treatment
Current smoking (baseline)
BMI Mean (SD)
≥ 2 Vessel disease
Previous PCI, MI or CABG
The association of Type D personality with anxiety, depression and stress
Multiple linear regression of anxiety, depression and perceived stress scores by Type D personality and covariates
Anxiety (N = 256)
Depression (N = 256)
Perceived stress (N = 244)
Type D personality
ΔR2 = 0.06, p = 0.010
ΔR2 = 0.04, p = 0.074
ΔR2 = 0.03, p = 0.22
Type D personality
Family status (married)
≥ 2 Vessel disease
Previous cardiac history
Analysis of the unique and shared predictive power of both Type D subcomponents revealed that the association between Type D and anxiety was primarily driven by NA (31% of the variance), while the total variance explained by both factors was 34%. SI did not significantly contribute to this model of anxiety; the shared variance of both factors was 2.5%. Conversely, both NA and SI contributed to the association with depression and perceived stress, with 9% shared variance for both measures. The unique effect of NA was larger in both cases, with NA and SI explaining 9% and 4% of depression scores and 17% and 1% in perceived stress scores, respectively.
Multivariate logistic regression analyses replicated these findings, indicating that Type D patients had about three to four times greater odds of experiencing some symptoms of anxiety (OR 2.97, 95% CI:1.55-5.69, p < 0.001) and depression (OR 4.01, 95% CI:1.42-11.29, p = 0.009), and nearly six times greater odds of heightened perceived stress (OR 5.99, 95% CI:3.08-11.63, p < 0.001) compared to non-Type D patients, independent of covariates.
Prevalence of certain health-related behavior practices across groups at follow-up*
Minimal exercise (< 20 min 3× a week)
Have attended rehabilitation
Gained weight after the angiography
Gained weight (obese patients, BMI ≥ 25)
Have breakfast every day
Consume fruits and vegetables every day
Consume fish seldom (≤ 1 a week)
Smoking prevalence at follow-up
Psychopharmacological medication use
Use sleeping pills regularly
Use antidepressants regularly
Use anxiety-reducing medication regularly
At follow-up, the prevalence of smoking was 17% in Type D patients versus 8% in non-Type D patients (χ2 (1, N = 266) = 5.09; p = 0.024). A similar trend for smoking was noted at baseline, although not statistically significant. Finally, more patients with Type D personality reported use of antidepressants (17% versus 9%; χ2 (1, N = 263) = 3.86; p = 0.049) and sleeping pills (49% versus 33%; χ2 (1, N = 261) = 5.46; p = 0.019), compared to their non-Type D counterparts. However, no difference was found in reported anxiety medication use between groups.
Secondary analysis of significant results using re-scaled Type D scale scores
NA was a significant predictor for anxiety (b = 0.65, p < 0.001), depression (b = 0.30, p = 0.006), and stress (b = 0.36, p = 0.001), and SI was a significant predictor for depression (b = 0.25, p = 0.009). After adjustment for these NA and SI main effects, the interaction term of NA by SI was not significant in these analyses of anxiety, depression and stress. In binary logistic regression models of health-related behaviors, the NA by SI interaction term was associated with higher odds of smoking at follow-up (OR 1.50, 95% CI: 1.01-2.21, p = 0.04) and less fish consumption (OR 0.48, 95% CI: 0.31-0.74, p = 0.001), and NA with more use of antidepressant medications (OR 1.89, 95% CI: 1.29-2.77, p = 0.001). No association was found between NA, SI, or NA by SI with weight gain (in patients with BMI ≥ 25) or use of sleep medication.
This study investigated the association between Type D personality and psychological distress in Icelandic cardiac patients, explored whether the association was confounded by indicators of disease severity, and examined the relationship between Type D personality and certain health-related behaviors. As expected, patients with Type D personality had a worse psychological status compared to their non-Type D counterparts, which was independent of the patient's demographic status and markers of disease severity. These results are in support for the notion that Type D personality is associated with impaired psychological well-being in cardiac patients, and are congruent with previous findings [8, 9], where Type D has been associated with a three-fold risk of increased psychological distress . Further analysis revealed that the association between Type D and poor psychological status was mainly driven by NA, but that SI also had a significant unique contribution to depression and perceived stress. NA and SI shared considerable variance in depression/stress scores, indicating the effect of Type D personality. Other researchers also found that the interaction of NA and SI predicted increased stress levels .
Regarding health-related behaviors, Type D patients displayed a lower prevalence of fish consumption and a trend towards less fruit and vegetable consumption compared to non-Type Ds, as well as a predisposition to smoke at follow-up and a higher prevalence of sleep- and antidepressant medication use. The higher prevalence of psychopharmacological medication use has been noticed previously, where post-MI patients with a Type D personality were significantly more likely to use benzodiazepines as compared to non-Type D patients , and provides further support to the current findings that Type D individuals experience more symptoms of anxiety, depression and stress.
The finding that Type D personality was not associated with indicators of disease severity is in line with previous findings [14, 18, 39], providing further evidence that Type D personality is not related to disease severity. Other studies also found no association between psychological factors and extent of coronary atherosclerosis . Hence, the adverse effects of Type D personality on cardiac prognosis may be mediated through other pathways, such as behavioral and physiological factors [13, 23, 24].
Apart from the unexpected link between Type D and a lower prevalence of hypertension treatment, no association was found with the traditional CAD risk factors. This fits well with the general consensus that the influence of Type D on cardiac health is not mediated through biomedical risk factors [14, 16]. The lower hypertension treatment prevalence could be due to a poorer self-management in Type D patients, as Type D has previously been associated with poor medication adherence . Type D individuals are also less likely to seek appropriate medical care  or to have regular medical check-ups .
Re-analyses of significant associations of Type D personality with outcome variables, using continuous NA, SI, and NA by SI scores confirmed the association of the NA and SI subscales with depression, and the main effects of NA with anxiety and stress. The NA by SI interaction term was not significant in these analyses, probably as the main effects of the Type D subcomponents were already accounted for. Regarding health-behaviors, the NA by SI interaction term was associated with more smoking and lower fish consumption and NA with use of antidepressant medications. These findings suggest that categorical and dimensional definitions of Type D personality are not necessarily mutually exclusive, but represent two different ways of capturing the psychological profiles of individuals .
Behavioral processes are believed to constitute one of the main mediating mechanisms linking personality and psychological distress with impaired health  and increased CVD risk [23, 26], and recent findings suggest that health-related behavior may explain 40% of the association between personality traits and mortality . Thus, management of behavioral processes such as health-related behavior may be crucial to reduce distress-related CVD risk . The current findings suggested that some important aspects of health-related behavior may differ between Type D and non-Type D patients. A distinct difference in fish consumption was found, and previously, Type D personality has been associated with less sensible diet in healthy individuals . Healthy diet choices are considered an important part of CVD risk reduction , where for example increased consumption of fruits and vegetables [47, 48], fish, and reduced intake of fried foods [46, 47] are recommended. Unhealthy diet has been associated with an increased risk of acute myocardial infarction worldwide, and is estimated to account for nearly 30% of the population attributable risk . Thus, a predisposition towards unhealthy diet choices is a plausible mediating mechanism in the relationship between Type D personality and clinical CVD events, and as such, should be inspected more thoroughly.
Although no differences in exercise and rehabilitation were found, a trend towards a higher prevalence of weight gain was noticed in Type D patients, which was significant in a post hoc analysis in overweight patients. Hence, overweight Type D patients may be more prone to gain weight after a coronary angiography, although how much weight these participants gained is unknown. Weight loss is of significant importance in obese individuals, and cardiac patients in particular, as it can improve or prevent many of the obesity-related risk factors for coronary heart diseases .
Type D patients were more likely to smoke at follow-up than non-Type D patients, although this difference was not significant at baseline. Other studies have also found an association between Type D personality and smoking [33, 50, 51]. Difficulties with maintaining smoking abstinence have been related to neuroticism [52, 53] and psychological distress . Type D individuals may experience the prospect of smoke-cessation as a more threatening and stressful event, due to their tendency to experience things in a more negative way, and might therefore need more support with altering their smoking habits. Taken together, Type D individuals may need more assistance with smoking cessation and other health-related behaviors, such as changing dietary habits. Behavioral interventions to reduce psychological distress might facilitate more successful modifications of unhealthy lifestyles .
Assessment of Type D personality could be useful to identify patients who have an increased risk of adverse clinical events . Type D personality has also been associated with inadequate consultation behavior [25, 55], poor medication adherence  and negative illness perception  in cardiac patients. Rozanski  has argued that cardiologists should consider including a brief screening of psychological factors that might influence patient behavior and adherence into their standard care. The DS14 is a short, reliable measure of Type D that is easy to administer (2-3 minutes) and score , and that could be used by health professionals to identify Type D patients that may benefit from more tailored intervention in clinical care.
Little is known about the population attributable risk Type D poses for CVD incidence in the community, as the main emphasizes in Type D research has not been to assert causal connection with CVD incidence, but rather to examine the association between general distress and prognosis in cardiovascular populations . As a consequence, most studies on Type D personality and coronary heart disease have been conducted in cardiovascular samples. Yet, a number of general population studies on Type D personality have exposed Type D personality as a vulnerability factor for worse self-reported health status, more somatic health complaints and disease-promoting mechanism  and unhealthier lifestyle behaviors .
Finally, the current findings support the cross-cultural validity for the association of Type D personality with psychological distress, and are consistent with recent finding from Denmark , Germany  and the United States . Thus, the effect of Type D personality is not limited to Dutch and Belgian populations .
The results of the current study should be interpreted with some caution due to the following limitations. The participant sample consisted of a heterogeneous group of cardiac patients undergoing coronary angiography, and thus measurements of disease severity employed in this study may not portray effectively worse disease status for a small proportion of the sample (for instance in arrhythmia patients). In addition, the current findings regarding Type D and psychological status might be susceptible for reverse causation, due to the cross-sectional origin, but previous longitudinal reports demonstrating that Type D predicts onset, prevalence and severity of psychological distress after adjustments for baseline depression  diminish such a risk. Furthermore, health-related behaviors were assessed with self-report and not by extensive and psychometrically examined measurement devices. Yet, the current sample represented a broad group of cardiac patients undergoing a coronary angiography in the only hospital in Iceland that performs angiographies, and thus the sample portrays effectively the population of cardiac patients of a whole nation as non-selectively as possible.
In summary, the results of the present study indicate that Type D personality is associated with more psychological distress and unhealthy lifestyle behaviors in Icelandic cardiac patients, and support the cross-cultural validity of the Type D personality construct. Further studies should be implemented to investigate, in more detail, the association between Type D personality and health-related behavior, for such investigations could generate intervention strategies to improve the prognostic outlook for cardiac patients with Type D personality.
The present research was supported by Rannís, The Icelandic Centre for Research (Reykjavík, Iceland) with a grant to Dr. Hróbjartur Darri Karlsson, a grant from the Landspitali-Hospital Research Found (Reykjavík, Iceland) to the project, and by the Netherlands Organisation for Scientific Research (The Hague, The Netherlands) with a VICI grant (453-04-004) to Dr. Johan Denollet. Our thanks to Axel F. Sigurdsson and Kristján Eyjólfsson for assistance with acquisition of funding. Special thanks to Unnur Sigtryggsdóttir, Anne Mette Pedersen, Sigurlaug Magnúsdóttir and their staff at Landspitali-University Hospital for their generous support with acquisition of data.
- Rozanski A, Blumenthal J, Davidson K, Saab P, Kubzansky L: The epidemiology, pathophysiology, and management of psychosocial risk factors in cardiac practice: the emerging field of behavioral cardiology. J Am Coll Cardiol. 2005, 78: 637-651.View ArticleGoogle Scholar
- Brotman D, Golden S, Wittstein I: The cardiovascular toll of stress. Lancet. 2007, 370: 1089-1100. 10.1016/S0140-6736(07)61305-1.View ArticlePubMedGoogle Scholar
- Denollet J, Sys S, Stroobant N, Rombouts H, Gillebert T, Brutsaert D: Personality as independent predictor of long-term mortality in patients with coronary heart disease. Lancet. 1996, 347: 417-421. 10.1016/S0140-6736(96)90007-0.View ArticlePubMedGoogle Scholar
- Denollet J, Pedersen SS, Ong AT, Erdman RA, Serruys PW, van Domburg RT: Social inhibition modulates the effect of negative emotions on cardiac prognosis following percutaneous coronary intervention in the drug-eluting stent era. Eur Heart J. 2006, 27 (2): 171-177.View ArticlePubMedGoogle Scholar
- Denollet J: Biobehavioral research on coronary heart disease: where is the person?. J Behav Med. 1993, 16 (2): 115-142. 10.1007/BF00844889.View ArticlePubMedGoogle Scholar
- Pedersen SS, Denollet J: Validity of the type D personality construct in Danish post-MI patients and healthy controls. J Psychosom Res. 2004, 57 (3): 265-272. 10.1016/S0022-3999(03)00614-7.View ArticlePubMedGoogle Scholar
- Broek KCvd, Nyklicek I, Voort PHvd, Alings M, Denollet J: Shocks, personality, and anxiety in patients with an implantable defibrillator. Pacing Clin Electrophysiol. 2008, 31 (7): 850-857. 10.1111/j.1540-8159.2008.01099.x.View ArticlePubMedGoogle Scholar
- Schiffer AA, Pedersen SS, Broers H, Widdershoven JW, Denollet J: Type-D personality but not depression predicts severity of anxiety in heart failure patients at 1-year follow-up. J Affect Disord. 2008, 106 (1-2): 73-81. 10.1016/j.jad.2007.05.021.View ArticlePubMedGoogle Scholar
- Pedersen SS, Domburg RTv, Theuns DA, Jordaens L, Erdman RAM: Type D personality is associated with increased anxiety and depressive symptoms in patients with an implantable cardioverter defibrillator and their partners. Psychosom Med. 2004, 66 (5): 714-719. 10.1097/01.psy.0000132874.52202.21.View ArticlePubMedGoogle Scholar
- Smith ORF, Pedersen SS, Domburg RTv, Denollet J: Symptoms of fatigue and depression in ischemic heart disease are driven by personality characteristics rather than disease stage: a comparison of CAD and CHF patients. Eur J Cardiovasc Prev Rehabil. 2008, 15 (5): 583-588. 10.1097/HJR.0b013e3283083e17.View ArticlePubMedGoogle Scholar
- Pedersen SS, Daemen J, van de Sande M, Sonnenschein K, Serruys PW, Erdman RAM, van Domburg RT: Type-D personality exerts a stable, adverse effect on vital exhaustion in PCI patients treated with paclitaxel-eluting stents. J Psychosom Res. 2007, 62 (4): 447-453. 10.1016/j.jpsychores.2006.12.015.View ArticlePubMedGoogle Scholar
- van den Broek KC, Nyklicek I, van der Voort PH, Alings M, Meijer A, Denollet J: Risk of ventricular arrhythmia after implantable defibrillator treatment in anxious type D patients. J Am Coll Cardiol. 2009, 54 (6): 531-537. 10.1016/j.jacc.2009.04.043.View ArticlePubMedGoogle Scholar
- Kupper N, Denollet J: Type D personality as a prognostic factor in heart disease: assessment and mediating mechanisms. J Pers Assess. 2007, 89 (3): 265-276. 10.1080/00223890701629797.View ArticlePubMedGoogle Scholar
- Pedersen SS, Denollet J: Is Type D personality here to stay? Emerging evidence across cardiovascular disease patient groups. Curr Cardiol Rev. 2006, 2 (3): 205-213. 10.2174/157340306778019441.View ArticleGoogle Scholar
- Denollet J, Pedersen SS, Vrints CJ, Conraads VM: Usefulness of type D personality in predicting 5-year cardiac events above and beyond concurrent symptoms of stress in patients with coronary heart disease. Am J Cardiol. 2006, 97 (7): 970-973. 10.1016/j.amjcard.2005.10.035.View ArticlePubMedGoogle Scholar
- Pedersen SS, Denollet J: Type D personality, cardiac events, and impaired quality of life: a review. Eur J Cardiovasc Prev Rehabil. 2003, 10 (4): 241-248. 10.1097/00149831-200308000-00005.View ArticlePubMedGoogle Scholar
- Denollet J, Schiffer AA, Spek V: A general propensity to psychological distress affects cardiovascular outcomes: evidence from research on the Type D (distressed) personality profile. Circ Cardiovasc Qual Outcomes. 2010, 3 (5): 546-557. 10.1161/CIRCOUTCOMES.109.934406.View ArticlePubMedGoogle Scholar
- Pedersen SS, Denollet J, Ong ATL, Serruys PW, Erdman RAM, Domburg RTv: Impaired health status in Type D patients following PCI in the drug-eluting stent era. Int J Cardiol. 2007, 114 (3): 358-365. 10.1016/j.ijcard.2005.12.018.View ArticlePubMedGoogle Scholar
- Denollet J: DS14: Standard assessment of negative affectivity, social inhibition, and Type D personality. Psychosom Med. 2005, 67 (1): 89-97. 10.1097/01.psy.0000149256.81953.49.View ArticlePubMedGoogle Scholar
- Grande G, Jordan J, Kümmel M, Struwe C, Schubmann R, Schulze F, Unterberg C, von Kanel R, Kudielka BM, Fischer J, et al: Evaluation der deutschen Typ-D-Skala (DS14) und Prävalenz der Typ-D-Persönlichkeit bei kardiologischen und psychosomatischen Patienten sowie Gesunden [Evaluation of the German Type D scale (DS14) and prevalence of the type D personality pattern in cardiological and psychosomatic patients and healthy subjects]. Psychother Psychosom Med Psychol. 2004, 54 (11): 413-422. 10.1055/s-2004-828376.View ArticlePubMedGoogle Scholar
- Gremigni P, Sommaruga M: Pesonalità di Tipo D, un costrutto rilevante in cardiologia. Studio preliminare di validazione del questionario italiano [Type D personality, a relevant construct in cardiology. Preliminary validation study of the Italian questionnaire]. Psicoterapia Cognitiva e Comportamentale. 2004, 11 (1): 7-18.Google Scholar
- Williams L, O'Connor RC, Howard S, Hughes BM, Johnston DW, Hay JL, O'Connor DB, Lewis CA, Ferguson E, Sheehy N, et al: Type-D personality mechanisms of effect: the role of health-related behavior and social support. J Psychosom Res. 2008, 64 (1): 63-69. 10.1016/j.jpsychores.2007.06.008.View ArticlePubMedGoogle Scholar
- Hamer M, Molloy GJ, Stamatakis E: Psychological distress as a risk factor for cardiovascular events: pathophysiological and behavioral mechanisms. J Am Coll Cardiol. 2008, 52: 2156-2162. 10.1016/j.jacc.2008.08.057.View ArticlePubMedGoogle Scholar
- Molloy GJ, Perkins-Porras L, Strike PC, Steptoe A: Type-D personality and cortisol in survivors of acute coronary syndrome. Psychosom Med. 2008, 70: 863-868. 10.1097/PSY.0b013e3181842e0c.View ArticlePubMedGoogle Scholar
- Pelle AJ, Schiffer A, Smith OR, Widdershoven JW, Denollet J: Inadequate consultation behavior modulates the relationship between type D personality and impaired health status in chronic heart failure. Int J Cardiol. 2010, 142 (1): 65-71. 10.1016/j.ijcard.2008.12.086.View ArticlePubMedGoogle Scholar
- Steptoe A: Depression and Physical Health. 2007, Cambridge: United Kingdom Cambridge University PressGoogle Scholar
- Razzini C, Bianchi F, Leo R, Fortuna E, Siracusano A, Romeo F: Correlations between personality factors and coronary artery disease: from type A behavior pattern to type D personality. J Cardiovasc Med. 2008, 9: 761-768. 10.2459/JCM.0b013e3282f39494.View ArticleGoogle Scholar
- Zigmond AS, Snaith RP: The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983, 67 (6): 361-370. 10.1111/j.1600-0447.1983.tb09716.x.View ArticlePubMedGoogle Scholar
- Cohen S, Kamarck T, Mermelstein R: A global measure of perceived stress. J Health Soc Behav. 1983, 24: 385-396. 10.2307/2136404.View ArticlePubMedGoogle Scholar
- Emons WHM, Meijer RR, Denollet J: Negative affectivity and social inhibition in cardiovascular disease: evaluating type-D personality and its assessment using item response theory. J Psychosom Res. 2007, 63 (1): 27-39. 10.1016/j.jpsychores.2007.03.010.View ArticlePubMedGoogle Scholar
- Pedersen SS, Yagensky A, Smith O, Yagenska O, Shpak V, Denollet J: Preliminary evidence for the cross-cultural utility of the type D personality construct in the Ukraine. Int J Behav Med. 2009, 16 (2): 108-115. 10.1007/s12529-008-9022-4.View ArticlePubMedPubMed CentralGoogle Scholar
- Pelle AJ, Denollet J, Zwisler A-D, Pedersen SS: Overlap and distinctiveness of psychological risk factors in patients with ischemic heart disease and chronic heart failure: are we there yet?. J Affect Disord. 2009, 113 (1-2): 150-156. 10.1016/j.jad.2008.05.017.View ArticlePubMedGoogle Scholar
- Svansdóttir E, Karlsson HD, Gudnason T, Olason DT, Thorgilsson H, Sijbrands EJ, Pedersen SS, Denollet J: Validity of Type D personality in Iceland: association with disease severity and risk markers in cardiac patients. J Behav Med.Google Scholar
- Schaaber UL, Smari J, Oskarsson H: Comparison of the hospital anxiety and depression rating scale (HAD) with other depression and anxiety rating scales. Nord J Psychiatry. 1990, 44 (5): 507-512. 10.3109/08039489009096605.Google Scholar
- Smari J, Olason DT, Arnarson TO, Sigurðsson JF: Mælitæki fyrir þunglyndi fullorðinna sem til eru í íslenskri gerð: Próffræðilegar upplýsingar og notagildi [Icelandic translations of depression measures for adult populations: psychometric information and usefulness]. Sálfræðiritið. 2008, 13: 147-169.Google Scholar
- Cohen S, Williamson G: Perceived stress in a probability sample of the United States. The Social Psychology of Health: Claremont Symposium on Applied Social Psychology. Edited by: Spacapan S, Oskamp S. 1988, Newsbury Park: SageGoogle Scholar
- Ferguson E, Williams L, O'Connor RC, Howard S, Hughes BM, Johnston DW, Allan JL, O'Connor DB, Lewis CA, Grealy MA, O'Carroll RE: A taxometric analysis of type-D personality. Psychosom Med. 2009, 71 (9): 981-986. 10.1097/PSY.0b013e3181bd888b.View ArticlePubMedGoogle Scholar
- Denollet J, Sys SU, Brutsaert DL: Personality and mortality after myocardial infarction. Psychosom Med. 1995, 57 (6): 582-591.View ArticlePubMedGoogle Scholar
- Denollet J, Brutseart DL: Personality, disease severity and the risk of long-term cardiac events in patients with a deceased ejection fraction after myocardial infarction. Circulation. 1998, 97: 167-173.View ArticlePubMedGoogle Scholar
- Rozanski A, Gransar H, Kubzansky LD, Wong N, Shaw L, Miranda-Peats R, Thomson LE, Hayes SW, Friedman JD, Berman DS: Do psychological risk factors predict the presence of coronary atherosclerosis?. Psychosom Med. 2011, 73 (1): 7-15. 10.1097/PSY.0b013e3181fd94f5.View ArticlePubMedGoogle Scholar
- Williams L, O'Connor RC, Grubb N, O'Carroll R: Type D personality predicts poor medication adherence in myocardial infarction patients. Psychol Health.Google Scholar
- Thomas G, de Jong FI, Kooijman PG, Cremers CW: Utility of the Type D scale 16 and voice handicap index to assist voice care in student teachers and teachers. Folia Phoniatr Logop. 2006, 58 (4): 250-263. 10.1159/000093182.View ArticlePubMedGoogle Scholar
- Chapman BP, Duberstein PR, Lyness JM: The distressed personality type: replicability and general health associations. Eur J Pers. 2007, 21 (7): 911-929. 10.1002/per.645.View ArticleGoogle Scholar
- Smith TW: Personality as risk and resilience in physical health. Curr Dir Psychol Sci. 2006, 15: 227-231. 10.1111/j.1467-8721.2006.00441.x.View ArticleGoogle Scholar
- Mroczek DK, Spiro A, Turiano NA: Do health behaviors explain the effect of neuroticism on mortality? Longitudinal findings from the VA Normative Aging Study. J Res Pers. 2009, 43 (4): 653-659. 10.1016/j.jrp.2009.03.016.View ArticlePubMedPubMed CentralGoogle Scholar
- Cooney MT, Dudina CA, Graham I: Forth Joint Task Force of European societies' guidelines on cardiovascular disease prevention in clinical practice: a review. Medicographia. 2008, 30 (3): 270-278.Google Scholar
- Iqbal R, Anand S, Ounpuu S, Islam S, Zhang X, Rangarajan S, Chifamba J, Al-Hinai A, Keltai M, Yusuf S: Dietary patterns and the risk of acute myocardial infarction in 52 countries: results of the INTERHEART study. Circulation. 2008, 118: 1929-1937. 10.1161/CIRCULATIONAHA.107.738716.View ArticlePubMedGoogle Scholar
- Dauchet L, Amouyel P, Hercberg S, Dallongeville J: Fruit and vegetable consumption and risk of coronary heart disease: a meta-analysis of cohort studies. J Nutr. 2006, 136 (10): 2588-2593.PubMedGoogle Scholar
- Poirier P, Giles TD, Bray GA, Hong Y, Stern JS, Pi-Sunyer FX, Eckel RH: Obesity and cardiovascular disease: pathophysiology, evaluation, and effect of weight loss: an update of the 1997 American Heart Association scientific statement on obesity and heart disease from the obesity committee of the council on nutrition, physical activity, and metabolism. Circulation. 2006, 113 (6): 898-918. 10.1161/CIRCULATIONAHA.106.171016.View ArticlePubMedGoogle Scholar
- Pedersen SS, Denollet J, Ong AT, Sonnenschein K, Erdman RAM, Serruys PW, van Domburg RT: Adverse clinical events in patients treated with sirolimus-eluting stents: the impact of type D personality. Eur J Cardiovasc Prev Rehabil. 2007, 14 (1): 135-140. 10.1097/HJR.0b013e328045c282.View ArticlePubMedGoogle Scholar
- Gilmour J, Williams L: Type d Personality is associated with maladaptive health-related behaviours. J Health Psychol.Google Scholar
- Cosci F, Corlando A, Fornai E, Pistelli F, Paoletti P, Carrozzi L: Nicotine dependence, psychological distress and personality traits as possible predictors of smoking cessation. Results of a double-blind study with nicotine patch. Addict Behav. 2009, 34 (1): 28-35. 10.1016/j.addbeh.2008.08.003.View ArticlePubMedGoogle Scholar
- Hooten WM, Ames SC, Vickers KS, Hays JT, Wolter TD, Hurt RD, Offord KP: Personality correlates related to tobacco abstinence following treatment. Int J Psychiatry Med. 2005, 35 (1): 59-74. 10.2190/N9F1-1R9G-6EDW-9BFL.View ArticlePubMedGoogle Scholar
- Graham I, Atar D, Borch-Johnsen K, Boysen G, Burell G, Cifkova R, Dallongeville J, De Backer G, Ebrahim S, Gjelsvik B, et al: European guidelines on cardiovascular disease prevention in clinical practice: full text. Fourth Joint Task Force of the European Society of Cardiology and other societies on cardiovascular disease prevention in clinical practice (constituted by representatives of nine societies and by invited experts). Eur J Cardiovasc Prev Rehabil. 2007, 14 (Suppl 2): s1-s113.View ArticlePubMedGoogle Scholar
- Schiffer AA, Denollet J, Widdershoven JW, Hendriks EH, Smith OR: Failure to consult for symptoms of heart failure in patients with a type-D personality. Heart. 2007, 93 (7): 814-818. 10.1136/hrt.2006.102822.View ArticlePubMedPubMed CentralGoogle Scholar
- Williams L, O'Connor RC, Grubb NR, O'Carroll RE: Type D personality and illness perceptions in myocardial infarction patients. J Psychosom Res. 2011, 70: 141-144. 10.1016/j.jpsychores.2010.07.015.View ArticlePubMedGoogle Scholar
- Rozanski A: Integrating psychologic approaches into the behavioral management of cardiac patients. Psychosom Med. 2005, 67 (Suppl 1): s67-s73.View ArticlePubMedGoogle Scholar
- Mols F, Denollet J: Type D personality among noncardiovascular patient populations: a systematic review. Gen Hosp Psychiatry. 2010, 32 (1): 66-72. 10.1016/j.genhosppsych.2009.09.010.View ArticlePubMedGoogle Scholar
- Spindler H, Kruse C, Zwisler AD, Pedersen SS: Increased anxiety and depression in Danish cardiac patients with a type D personality: cross-validation of the Type D scale (DS14). Int J Behav Med. 2009, 16 (2): 98-107. 10.1007/s12529-009-9037-5.View ArticlePubMedPubMed CentralGoogle Scholar
- Simson U, Nawarotzky U, Porck W, Friese G, Schottenfeld-Naor Y, Hahn S, Scherbaum WA, Kruse J: Depression, anxiety, quality of life and type D pattern among inpatients suffering from diabetic foot syndrome (German). Psychother Psychosom Med Psychol. 2008, 58 (2): 44-50. 10.1055/s-2007-971001.View ArticlePubMedGoogle Scholar
- Barnett M, Ledoux T, Garcini L, Baker J: Type D personality and chronic pain: construct and concurrent validity of the DS14. J Clin Psychol Med Settings. 2009, 16 (2): 194-199. 10.1007/s10880-009-9152-0.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/12/42/prepub
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