Ethnicity and Type D personality as predictors of heart rate variability

Martin, Luci A.; Doster, Joseph A.; Critelli, Joseph W.; Lambert, Paul L.; Purdum, Michael; Powers, Catherine; Prazak, Michael

doi:10.1016/j.ijpsycho.2010.03.001

Cited by 49 publications

(46 citation statements)

References 14 publications

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“…Hence, replication in other cultures and by other research groups is needed. Recent publications from independent research groups are promising and support the role of Type D as a determinant of genetic, 66 biological, 53,54,[67][68][69][70][71][72] and behavioral [73][74][75][76][77][78][79] pathways of disease that promote a better understanding of the effect of psychological distress on cardiac disorder. There are also mixed findings on Type D personality.…”

Section: Limitations Of the Type D Constructmentioning

confidence: 98%

“…In experimental research, Type D has been related to higher cardiovascular stress reactivity, including increased heart rate, blood pressure and cardiac output, 67,68 and decreased heart rate variability. 69 In cardiac patients, Type D personality has been associated with reduced heart rate recovery 70 and with the incidence of ventricular arrhythmia. 52 A dysfunctional hypothalamic-pituitary-adrenal axis comprises another potential pathway.…”

Section: Biological and Behavioral Pathwaysmentioning

confidence: 99%

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A General Propensity to Psychological Distress Affects Cardiovascular Outcomes

Denollet

Schiffer

Spek

2010

Circ: Cardiovascular Quality and Outcomes

243

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Section: Limitations Of the Type D Constructmentioning

confidence: 98%

Section: Biological and Behavioral Pathwaysmentioning

confidence: 99%

A General Propensity to Psychological Distress Affects Cardiovascular Outcomes

Denollet

Schiffer

Spek

2010

Circ: Cardiovascular Quality and Outcomes

243

View full text Add to dashboard Cite

“…Furthermore, thrombus formation on the surface of coronary plaque is key in acute coronary events, making platelet dysfunction a plausible mechanism [37]. In addition, patients with feelings of anxiety, depression, fatigue and a Type D personality have reduced heart rate variability (HRV) [38][39][40][41], which is an indicator of cardiac autonomic control and predictive of cardiovascular morbidity and mortality [42,43]. Furthermore, the HPA-axis is known to play a role in CVD [44].…”

mentioning

confidence: 99%

Cardiovascular co-morbidity in cancer patients: the role of psychological distress

et al. 2016

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Due to aging of the population and cardiotoxic cancer treatment, there is an increasing group of patients with cancer and co-morbid cardiovascular disease (CVD). In order to find a balance between the risk of undertreating the malignancy on the one hand and inducing CVD on the other hand, CVD risk stratification at the time of cancer diagnosis and knowledge on the pathway for developing incident CVD in cancer patients is vital. In this paper, we propose an adapted multiple-hit hypothesis for developing CVD in cancer patients describing that patients with cancer are exposed to a series of sequential or concurrent events that together make them more vulnerable to reduced cardiovascular reserves, development of incident CVD and ultimately death. We highlight the possible impact of psychological distress secondary to a cancer diagnosis and/or treatment, which in turn may increase the risk of incident CVD in patients diagnosed with cancer. Furthermore, we discuss potential behavioral and pathophysiological mechanisms underlying the link between psychological distress and the pathophysiology of incident CVD. In addition, key unanswered questions for future research are posed. In the future, researching the adapted multiple-hit hypothesis for developing CVD among cancer patients will hopefully advance the care of cancer patients by finding some of the missing pieces of the puzzle. To do so, we need to focus on minimizing cardiovascular risk and promoting cardiovascular health in cancer patients by addressing the knowledge gaps formulated in this paper.Keywords: Cancer, Survivors, Cardiovascular, Psychological distress, Mechanisms Cardiovascular co-morbidity in cancer patientsDue to aging of the population, there is an increasing number of patients with cancer and co-morbid cardiovascular disease (CVD). Additionally, cancer patients may develop incident CVD as a result of the cardiotoxicity of cancer treatment. Fortunately, there has been increasing awareness of co-morbid CVD in cancer patients. In 2009, the International CardiOncology Society (ICOS) was established [1]. ICOS advocates a multi-disciplinary effort to combat CVD in cancer patients by both training oncologists and cardiologists and conducting multidisciplinary research. In 2014, during the international colloquium on cardio-oncology, ICOS stressed the importance of finding a balance between the risk of undertreating the malignancy on the one hand and inducing CVD by overtreating on the other hand [2]. In order to accomplish this goal, they emphasize the importance of CVD risk stratification at the time of cancer diagnosis. Recommendations based on consensus have also been published to target the vulnerable cancer patient population, emphasizing the importance of a thorough cardiac evaluation, including the assessment of risk factors, prior to formulating a cancer treatment plan [3].Adapted multiple-hit hypothesis: the impact of psychological distress Important in CVD risk stratification is knowledge of the pathway for developing CVD in cancer patie...

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“…In the recent studies such as Whitehead study (12) and Martin et al study (13), the relationship between CAD and type D personality was reported.…”

Section: Introductionmentioning

confidence: 97%

Prediction of Quality of Life by Type D Personality and Illness Perception Factors in Patients With Coronary Artery Disease: A Structural Equation Model

et al. 2016

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Background: Coronary artery disease (CAD) is a common cause of death and disability, with the mortality incidence of 167 per 100,000 people. The Known physical cause of coronary heart disease (CHD) can predict only 50% of CHD incidence. Recently, health psychologists pay attention to the key role of nonbiological factors such as psychological factors in CHD. Objectives: The aim of this study was to examine the direct and indirect relationships between type D personality and quality of life in CHD patients and create a conceptual model. Patients and Methods:In this cross-sectional study, 99 CAD patients were finally selected from the patients referred to the angiography unit of Mostafa-KHomeini Hospital in Tehran, Iran, from April to June 2012. The questionnaires used to gather data were type D personality scale, quality of life scale and illness perception scale. To design the model, we used analysis of Moment Structures (AMOS) software because the suggested model was a kind of structural equation models. Results: Ninety-nine CHD patients, with the mean age of 59.7 years (age range, 20 -86) were studied and 58.8% of them were males. Cronbach's alpha for quality of life and type D personality questionnaires were calculated 0.93 and 0.81, respectively. Forty-eight significant parameters estimated in the model that is fitted with the chi-square = 67.905, degrees of freedom = 57 and P-value = 0.153. The type D personality was related to quality of life in patients with CHD directly or indirectly by a mediator of the perception of illness. Conclusions: Diagnosing type D personality and knowing about the effect of these perceptions can help physician to identify patients with prone personality and prevent them from the disease by changing their lifestyle.

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Ethnicity and Type D personality as predictors of heart rate variability

Cited by 49 publications

References 14 publications

A General Propensity to Psychological Distress Affects Cardiovascular Outcomes

A General Propensity to Psychological Distress Affects Cardiovascular Outcomes

Cardiovascular co-morbidity in cancer patients: the role of psychological distress

Prediction of Quality of Life by Type D Personality and Illness Perception Factors in Patients With Coronary Artery Disease: A Structural Equation Model

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