Predictive value of Type D personality for impaired endothelial function in patients with coronary artery disease

Denollet, Johan; Felius, Romy A. van; Lodder, Paul; Mommersteeg, Paula M.C.; Goovaerts, Inge; Possemiers, Nadine; Vanhees, Luc; Beckers, Paul; Pattyn, Nele; Craenenbroeck, Emeline M. Van

doi:10.1016/j.ijcard.2018.02.064

Cited by 40 publications

(23 citation statements)

References 48 publications

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“…Our study investigated the association between Type D personality and anxiety and depression. Apart from these clinical psychological constructs, there exists a large body of research investigating whether Type D personality is related to worse health-related outcomes in the general population (Mols & Denollet, 2010) or in people with cardiovascular disease (Denollet et al, , 2018. Because most of these studies did not apply latent variable modeling and did not test for quadratic NA and SI effects, an interesting avenue for future research would be to do so in preregistered, highly powered direct replication projects.…”

Section: Discussionmentioning

confidence: 99%

Modeling Interactions Between Latent Variables in Research on Type D Personality: A Monte Carlo Simulation and Clinical Study of Depression and Anxiety

Lodder

Denollet

Emons

et al. 2019

Multivariate Behavioral Research

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Several approaches exist to model interactions between latent variables. However, it is unclear how these perform when item scores are skewed and ordinal. Research on Type D personality serves as a good case study for that matter. In Study 1, we fitted a multivariate interaction model to predict depression and anxiety with Type D personality, operationalized as an interaction between its two subcomponents negative affectivity (NA) and social inhibition (SI). We constructed this interaction according to four approaches: (1) sum score product;(2) single product indicator; (3) matched product indicators; and (4) latent moderated structural equations (LMS). In Study 2, we compared these interaction models in a simulation study by assessing for each method the bias and precision of the estimated interaction effect under varying conditions. In Study 1, all methods showed a significant Type D effect on both depression and anxiety, although this effect diminished after including the NA and SI quadratic effects. Study 2 showed that the LMS approach performed best with respect to minimizing bias and maximizing power, even when item scores were ordinal and skewed. However, when latent traits were skewed LMS resulted in more false-positive conclusions, while the Matched PI approach adequately controlled the false-positive rate.

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Section: Discussionmentioning

confidence: 99%

Modeling Interactions Between Latent Variables in Research on Type D Personality: A Monte Carlo Simulation and Clinical Study of Depression and Anxiety

Lodder

Denollet

Emons

et al. 2019

Multivariate Behavioral Research

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“…With respect to the proposed atherosclerotic processes, one study in healthy community dwelling individuals showed that Type D personality was unrelated to flow-mediated dilation (a non-invasive measurement of endothelial dysfunction, and indirect assessment of nitric oxide (NO) functioning), or diameter, of the brachial artery [ 60 ]. In patients with more advanced phases of endothelial dysfunction, i.e., with overt CHD, Type D personality was associated with reduced flow-mediated dilation [ 62 •], and thus impaired endothelial-dependent vasodilation.…”

Section: Type D and Pathophysiological Pathways Related To Cardiac Rimentioning

confidence: 99%

Type D Personality as a Risk Factor in Coronary Heart Disease: a Review of Current Evidence

2018

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Purpose of the ReviewThis review article synthesizes recent research findings on the psychological context of Type D personality and the mechanisms through which Type D affects disease progression and prognosis among patients with coronary heart disease (CHD).Recent FindingsOne in four patients with CHD has a Distressed (Type D) personality, which is characterized by two stable traits: social inhibition and negative affectivity. Type D personality predicts increased mortality and morbidity burden, and poorer health-related quality of life. Type D is part of a family of psychosocial risk factors that affect CHD prognosis. The pattern of co-occurrence of these psychosocial factors and intra-individual differences in psychosocial profiles may affect risk prediction accuracy. Multiple biological and behavioral processes have been associated with Type D personality.SummaryIdentifying pathways explaining the observed associations between Type D personality and CHD is important to improve etiological and pathophysiological knowledge and to design personalized interventions, and targeting specific risk-associated pathways.

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“…Endothelial dysfunction induces coronary abnormalities that are critical in cardiovascular stenosis because endothelial cells regulate vascular and inflammatory responses [2]. Specifically, type-D personality is associated with impaired endothelial dysfunction in patients with CAD [48]. The mechanism underlying the influence of type-D personality on endothelial dysfunction remains unclear.…”

Section: Discussionmentioning

confidence: 99%

“…The mechanism underlying the influence of type-D personality on endothelial dysfunction remains unclear. However, type-D personality characterized by stress may be considered to indicate a high risk because stress is known to induce endothelial dysfunction [48].…”

Section: Discussionmentioning

confidence: 99%

Canonical Correlation between Behavioral-Psychological Variables and Predictors of Coronary Artery Disease Prognosis

Kim

Noh

Ryu

et al. 2020

IJERPH

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Metabolic syndrome (MetS) and severity of coronary artery disease (CAD) are considered predictors of CAD prognosis. Unhealthy lifestyles and type-D personality are associated with MetS and are potential causes of primary and secondary CAD. In this cross-sectional descriptive study, we aimed to investigate the relationship between behavioral-psychological variables and predictors of CAD prognosis. The behavioral-psychological variable set contained six lifestyle categories and two type-D personality categories. Descriptive analyses, t-tests, analysis of variance, Pearson’s correlation, and canonical correlation were used. The behavioral-psychological variable set was related to the predictor set for CAD prognosis, with a significant canonical variate of 0.67 (45% overlapping variance). Significant pairs of canonical variates indicated that poor physical activity and weight control (−0.77), poor dietary habits (−0.78), alcohol consumption and cigarette smoking (−0.37), lack of sleep and rest (−0.40), stress (−0.64) in the lifestyle set, higher negative affectivity (0.52), and social inhibition (0.71) in the type-D personality set were associated with a high MetS score (0.59) and severity of CAD (0.91). A combination of behavioral and psychological variables was found to be important in predicting the prognosis of CAD; therefore, interventions aimed at preventing combinations of these variables may be effective in improving CAD prognosis.

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Predictive value of Type D personality for impaired endothelial function in patients with coronary artery disease

Abstract: Type D personality was associated with impaired endothelial function in men with CAD. This association was robust across time, independent from depressive symptoms, and supports the notion that Type D has an adverse effect on cardiovascular health in patients with CAD.

Cited by 40 publications

References 48 publications

Modeling Interactions Between Latent Variables in Research on Type D Personality: A Monte Carlo Simulation and Clinical Study of Depression and Anxiety

Modeling Interactions Between Latent Variables in Research on Type D Personality: A Monte Carlo Simulation and Clinical Study of Depression and Anxiety

Type D Personality as a Risk Factor in Coronary Heart Disease: a Review of Current Evidence

Canonical Correlation between Behavioral-Psychological Variables and Predictors of Coronary Artery Disease Prognosis

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