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Journal ArticleDOI

Health behaviour mediates the relationship between Type D personality and subjective health in the general population

01 Oct 2016-Journal of Health Psychology (Sage Publications)-Vol. 21, Iss: 10, pp 2148-2155
TL;DR: It is found that health behaviour partially mediates the relationship between Type D personality and subjective health and may partly explain the relationshipBetween Type D and poor health outcomes.
Abstract: Type D personality is associated with unhealthy behaviour and poor subjective health in the general population. This study investigated whether health behaviour mediates the relationship between Type D and subjective health. There were 217 participants who completed measures of Type D, health-related behaviour, physical symptoms and quality of life. Type D individuals reported significantly less healthy behaviour and significantly poorer subjective health than non-Type Ds. In addition, it was found that health behaviour partially mediates these relationships. The study demonstrates that health behaviour may partly explain the relationship between Type D and poor health outcomes.

Summary (3 min read)

Introduction

  • Type D personality’s association with negative health outcomes has been well documented (e.g., Denollet et al., 1996; Denollet, Vaes & Brutsaert, 2000).
  • Studies have shown that Type D is associated with a threefold increased risk of poor prognosis and morbidity in cardiac patients (Denollet, Schiffer & Spek, 2010).
  • It has been suggested that Type D may promote the progression of heart disease indirectly through having an adverse effect on health behaviours (Kupper et al., 2013; Svansdottir et al., 2012).
  • Specifically, Type D individuals were found to smoke more, exercise less, and eat a poorer diet than non-Type D’s.

Participants and procedure

  • In a cross-sectional study, the sample comprised of 217 adults recruited via convenience sampling from the general population and from a University setting (76 males, 141 females, mean age: 31.9 years).
  • Ethical approval was obtained from the institutional review board prior to testing.
  • All participants were given a brief explanation of the study and provided with a questionnaire pack containing an information sheet, consent form, debrief sheet and a questionnaire consisting of demographic questions and measures of Type D personality, health behaviour, physical symptoms and quality of life.

Type D personality

  • Type D personality was measured using the Type D Personality Scale (DS14; Denollet, 2005).
  • This is a 14-item scale measuring the two components of Type D, Negative Affectivity (NA) and Social Inhibition (SI).
  • NA (e.g., ‘I often feel unhappy’ and SI (e.g., I am a closed kind of agreement with each item on a five-point Likert-type scale ranging from true to false.
  • Participants are classified as having a Type D personality if they score ≥10 on both the NA and SI subscales (Denollet, 2005).
  • Cronbach’s α = .89 for NA and .88 for SI indicating high levels of internal consistency.

Health behaviour

  • The health-related behaviours that participants performed was measured using the full version of The General Preventative Health Behaviours Checklist (Amir, 1987).
  • The scale lists 33 behaviours (e.g., ‘eat sensibly’, ‘get enough sleep’, ‘get enough exercise’) and participants were required to state whether they do not, sometimes or always/almost always engage in each behaviour.
  • A higher score indicated that the participant engages in more health beneficial behaviours.
  • Cronbach’s α=.88 indicating good levels of internal consistency.

Physical symptoms

  • The Cohen-Hoberman Inventory of Physical Symptoms (CHIPS: Cohen & Hoberman, 1983) consists of 33 items which assess the level at which the participant has experienced a selection of physical symptoms (e.g., sleep problems, headache, cold or cough) during the two weeks prior to the questionnaire being completed.
  • Participants rated this on a Likert scale ranging from 0 (not been bothered by the problem) to 4 (the problem has been an extreme bother), with higher scores indicating higher levels of symptoms.
  • The World Health Organisation Quality of Life Questionnaire (WHOQOL-BREF: The WHOQOL Group, 1996) is a 26-item measure used to investigate a participant’s perceived quality of life.
  • A higher score indicates a better quality of life.
  • Cronbach’s α= .82 indicating high internal consistency in the current study.

Statistical analysis

  • T-tests were carried out to examine the differences between Type D and non-Type D individuals using the traditional categorical cut-off method of classifying Type D (Denollet, 2005) in relation to their health behaviours, quality of life, and physical symptoms.
  • In addition, correlation analyses were performed in order to analyse the association between Type D (i.e., the multiplicative interaction term of NAxSI) and health behaviour and each of the subjective health outcomes.
  • The correlations were carried out in line with suggestions from some authors that Type D may be better treated as a dimensional construct (Ferguson et al., 2009; Williams et al., 2011; Gilmour & Williams, 2012).
  • Finally, in order to test the mediating effects of health behaviours on the relationship between Type D and subjective health the authors conducted mediation analysis using a regression-based approach and following the recommendations of Preacher and Hayes (2008), and Hayes (2013).
  • Type D was the independent factor, physical symptoms and quality of life were the dependent factors, and health behaviour was entered as the mediator in the SPSS PROCESS tool created by by Preacher and Hayes (2008) the authors used a 95% confidence interval of the indirect effects with 1000 bootstrap resamples.

Mediation Analysis

  • To determine if health behaviour mediates the effect of Type D on subjective health (physical symptoms and quality of life), mediation analyses were carried out.
  • The first analysis used physical symptoms as the dependent variable.
  • As a result of the above conditions being met, mediation analyses were conducted.
  • Age and gender were entered as covariates in the mediation analysis.
  • It was also shown that the direct effect of Type D on quality of life remained significant, when controlling for health behaviours, thus suggesting that health behaviours are a partial mediator of the relationship.

Discussion

  • The present study has established that Type D individuals engage in fewer health beneficial behaviours than non-Type D individuals, and that these health behaviours partially mediate the relationship between Type D and subjective health outcomes (i.e., physical symptoms and quality of life).
  • Health behaviours therefore represent one potential mechanism to explain the negative effect of Type D on health outcomes.
  • If the mediating effect of health behaviours is also identified in the relationship between Type D and poor clinical outcome in cardiac populations this represents a potential avenue for intervention as Type D individuals may benefit from intensive exposure to behaviour-change techniques.
  • Bunevicius A, Brozaitiene J, Staniute M, Gelziniene V, Duoneliene I, Pop VJ, Bunevicius R and Denollet J (2014).
  • Lack of prognostic value of Type D personality for mortality in a large sample of heart failure patients.

Ferguson E, Williams L, O’Connor R, Howard S, Hughes BM, Johnston DW and O’Carroll RE

  • (2009) A taxometric analysis of Type-D personality.
  • Annals of Behavioral Medicine 43: 299-310. Hayes AF (2012) PROCESS: A versatile computational tool for observed variable mediation, moderation and conditional process modelling (white paper).
  • Guildford Publications Karlsson MR, Edstrom-Pluss C, Held C, Henriksson P, Billing E and Wallen NK (2007) Effects of expanded cardiac rehabilitation on psychosocial status in coronary artery disease with focus on Type D characteristics, also known as New York.
  • The WHOQOL Group (1996) WHOQOL: Introduction, administration, scoring and generic version of assessment.

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Citations
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Journal ArticleDOI
26 Apr 2018-PLOS ONE
TL;DR: This article investigated the relationship between Type D personality, stress intensity appraisal of a self-selected stressor, coping, and perceived coping effectiveness and found that Type D was associated with poorer performance and increased levels of perceived stress and selection of coping strategies.
Abstract: We investigated (1) the relationship between Type D personality, stress intensity appraisal of a self-selected stressor, coping, and perceived coping effectiveness and (2) the relationship between Type D personality and performance. In study one, 482 athletes completed the Type D personality questionnaire (DS14), stress thermometer and MCOPE in relation to a recently experienced sport stressor. Type D was associated with increased levels of perceived stress and selection of coping strategies (more emotion and avoidance coping) as well as perceptions of their effectiveness. In study two, 32 participants completed a rugby league circuit task and were assessed on pre-performance anxiety, post-performance affect and coping. Type D was associated with poorer performance (reduced distance; more errors), decreases in pre-performance self-confidence and more use of maladaptive resignation/withdrawal coping. Findings suggest that Type D is associated with maladaptive coping and reduced performance. Type D individuals would benefit from interventions related to mood modification or enhancing interpersonal functioning.

32 citations

Journal ArticleDOI
TL;DR: Type D individuals had significantly lower levels of self-efficacy and engaged in significantly less walking and total exercise compared to non-Type D’s, and self- efficacy fully mediated the relationship between Type D and physical activity.
Abstract: Type D personality is associated with health-damaging behaviours among the general population. This study assessed the relationship between Type D personality, physical activity and self-efficacy. A total of 189 participants completed measures of Type D personality, physical activity and self-efficacy. Type D individuals had significantly lower levels of self-efficacy and engaged in significantly less walking and total exercise compared to non-Type D's. Furthermore, self-efficacy fully mediated the relationship between Type D and physical activity. Low levels of self-efficacy may be one mechanism to help explain why Type D individuals engage in more disease-promoting behaviours.

21 citations


Cites background from "Health behaviour mediates the relat..."

  • ...Furthermore, Type D individuals have been shown to engage in significantly less positive health behaviours (Williams et al., 2015), consume more alcohol (Bruce et al., 2013), spend less time outdoors (Williams et al., 2008), smoke more cigarettes (Ginting et al., 2014) and have poorer diets (Booth…...

    [...]

  • ...A plausible way in which Type D may predict negative health outcomes is through its established relations with health behaviour (Williams et al., 2015)....

    [...]

  • ...This study’s findings for exercise behaviour supplement a growing body of evidence that suggests that the association between Type D and poor health is partly facilitated by Type D individuals engaging in more detrimental health practices (Williams et al., 2015)....

    [...]

  • ...Furthermore, Type D individuals have been shown to engage in significantly less positive health behaviours (Williams et al., 2015), consume more alcohol (Bruce et al....

    [...]

Journal ArticleDOI
05 Feb 2018-Stress
TL;DR: The findings suggest that the association between Type D personality and minor health complaints in the general population can be explained by feelings of stress and anxiety, but a precise biological mechanism for this link is yet to be elucidated.
Abstract: Type D personality has been associated with minor health complaints in the general population and dysregulation of basal cortisol secretion in coronary patients. The aims of the present study were to investigate (i) whether there is an association between Type D personality and basal cortisol secretion in the general population, and (ii) whether subjective measures of stress and anxiety, as well as indices of basal cortisol secretion, mediate the relationship between Type D personality and self-reported physical symptoms in this group. Self-report measures of stress, trait anxiety and physical symptoms were provided by 101 individuals aged 18–45 years. Saliva samples were also provided over two consecutive “typical” days, to enable indices of the cortisol awakening response and diurnal cortisol profile to be determined. There was a significant relationship between Type D personality and self-reported physical symptoms, which was fully mediated by subjective stress and anxiety. However, there were ...

21 citations


Cites background or result from "Health behaviour mediates the relat..."

  • ...Firstly, we found evidence to support the previously established relationship (Mols & Denollet, 2010; Stevenson & Williams, 2014; Williams et al., 2016; Williams & Wingate, 2012) between Type D personality and physical health in the general population....

    [...]

  • ...ate this relationship (Williams et al., 2016) in the general...

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  • ..., 2003) reactivity to stress in the general population, but no studies to date have investigated whether such psychobiological factors mediate the now well established relationship (Mols & Denollet, 2010; Stevenson & Williams, 2014; Williams et al., 2016; Williams & Wingate, 2012) between Type D personality and physical symptom reporting in this group....

    [...]

  • ...Predicated by previous work which has established a link between Type D personality and physical symptoms in the general population (Mols & Denollet, 2010; Stevenson & Williams, 2014; Williams et al., 2016; Williams & Wingate, 2012), as well as studies which have observed an association between Type D personality and dysregulated basal cortisol in recent acute coronary syndrome sufferers (Molloy et al....

    [...]

  • ...…extend previous work which suggests (i) that social support and avoidant coping mediate the relationship between Type D personality and physical health (Williams & Wingate, 2012), and (ii) that health behaviors partially mediate this relationship (Williams et al., 2016) in the general population....

    [...]

Journal ArticleDOI
TL;DR: A comprehensive biopsychosocial approach to management of psychosocial factors is required to maximise the benefits patients derive from cardiac care and impact on ‘hard’ endpoints such as recurrent myocardial infarction.
Abstract: Psychological and psychosocial factors have long been linked to cardiovascular disease. These psychosocial factors, including low socioeconomic status, social support/isolation, stress and distress, personality, and sleep disturbance increase risk of cardiovascular events and negatively impact quality of life. These factors may have direct effects on cardiovascular disease via immune or neuroendocrine pathways, or more indirect effects, by, for example, limiting adherence to recommended therapies and cardiac rehabilitation. Most psychosocial risk factors can be assessed relatively easily using standardised tools. Sleep disturbance, in particular, is gaining evidence for its importance and may be crucial to address. While the management of certain psychosocial risk factors is an ethical requirement for care and improves quality of life, unfortunately there is little evidence that such strategies impact on 'hard' endpoints such as recurrent myocardial infarction. A comprehensive biopsychosocial approach to management of these psychosocial factors is required to maximise the benefits patients derive from cardiac care.

18 citations

Journal ArticleDOI
TL;DR: Categorical analysis indicated that Type D patients reported more depression, negative mood, social anxiety, and less positive mood, and main effects for several emotional and inhibition markers and an interaction effect for social anxiety.
Abstract: We examined the validity of the social inhibition component of Type D, its distinctiveness from negative affectivity, and value regarding emotional distress as measured with the DS14 in 173 coronary artery disease patients. In dimensional analysis, social inhibition and negative affectivity emerged as distinct traits. Analysis of continuous negative affectivity and social inhibition measures showed main effects for several emotional and inhibition markers and an interaction effect for social anxiety. Categorical analysis indicated that Type D patients reported more depression, negative mood, social anxiety, and less positive mood. Social inhibition is not a redundant trait, but has additional conceptual value.

17 citations


Cites background from "Health behaviour mediates the relat..."

  • ...These worse health outcomes in patients with Type D personality may be explained by biological and behavioral mechanisms, including smoking, poor diet, and lower levels of selfefficacy (Booth and Williams, 2015; Wiencierz and Williams, 2016; Williams et al., 2016)....

    [...]

References
More filters
Book
06 May 2013
TL;DR: In this paper, the authors present a discussion of whether, if, how, and when a moderate mediator can be used to moderate another variable's effect in a conditional process analysis.
Abstract: I. FUNDAMENTAL CONCEPTS 1. Introduction 1.1. A Scientist in Training 1.2. Questions of Whether, If, How, and When 1.3. Conditional Process Analysis 1.4. Correlation, Causality, and Statistical Modeling 1.5. Statistical Software 1.6. Overview of this Book 1.7. Chapter Summary 2. Simple Linear Regression 2.1. Correlation and Prediction 2.2. The Simple Linear Regression Equation 2.3. Statistical Inference 2.4. Assumptions for Interpretation and Statistical Inference 2.5. Chapter Summary 3. Multiple Linear Regression 3.1. The Multiple Linear Regression Equation 3.2. Partial Association and Statistical Control 3.3. Statistical Inference in Multiple Regression 3.4. Statistical and Conceptual Diagrams 3.5. Chapter Summary II. MEDIATION ANALYSIS 4. The Simple Mediation Model 4.1. The Simple Mediation Model 4.2. Estimation of the Direct, Indirect, and Total Effects of X 4.3. Example with Dichotomous X: The Influence of Presumed Media Influence 4.4. Statistical Inference 4.5. An Example with Continuous X: Economic Stress among Small Business Owners 4.6. Chapter Summary 5. Multiple Mediator Models 5.1. The Parallel Multiple Mediator Model 5.2. Example Using the Presumed Media Influence Study 5.3. Statistical Inference 5.4. The Serial Multiple Mediator Model 5.5. Complementarity and Competition among Mediators 5.6. OLS Regression versus Structural Equation Modeling 5.7. Chapter Summary III. MODERATION ANALYSIS 6. Miscellaneous Topics in Mediation Analysis 6.1. What About Baron and Kenny? 6.2. Confounding and Causal Order 6.3. Effect Size 6.4. Multiple Xs or Ys: Analyze Separately or Simultaneously? 6.5. Reporting a Mediation Analysis 6.6. Chapter Summary 7. Fundamentals of Moderation Analysis 7.1. Conditional and Unconditional Effects 7.2. An Example: Sex Discrimination in the Workplace 7.3. Visualizing Moderation 7.4. Probing an Interaction 7.5. Chapter Summary 8. Extending Moderation Analysis Principles 8.1. Moderation Involving a Dichotomous Moderator 8.2. Interaction between Two Quantitative Variables 8.3. Hierarchical versus Simultaneous Variable Entry 8.4. The Equivalence between Moderated Regression Analysis and a 2 x 2 Factorial Analysis of Variance 8.5. Chapter Summary 9. Miscellaneous Topics in Moderation Analysis 9.1. Truths and Myths about Mean Centering 9.2. The Estimation and Interpretation of Standardized Regression Coefficients in a Moderation Analysis 9.3. Artificial Categorization and Subgroups Analysis 9.4. More Than One Moderator 9.5. Reporting a Moderation Analysis 9.6. Chapter Summary IV. CONDITIONAL PROCESS ANALYSIS 10. Conditional Process Analysis 10.1. Examples of Conditional Process Models in the Literature 10.2. Conditional Direct and Indirect Effects 10.3. Example: Hiding Your Feelings from Your Work Team 10.4. Statistical Inference 10.5. Conditional Process Analysis in PROCESS 10.6. Chapter Summary 11. Further Examples of Conditional Process Analysis 11.1. Revisiting the Sexual Discrimination Study 11.2. Moderation of the Direct and Indirect Effects in a Conditional Process Model 11.3. Visualizing the Direct and Indirect Effects 11.4. Mediated Moderation 11.5. Chapter Summary 12. Miscellaneous Topics in Conditional Process Analysis 12.1. A Strategy for Approaching Your Analysis 12.2. Can a Variable Simultaneously Mediate and Moderate Another Variable's Effect? 12.3. Comparing Conditional Indirect Effects and a Formal Test of Moderated Mediation 12.4. The Pitfalls of Subgroups Analysis 12.5. Writing about Conditional Process Modeling 12.6. Chapter Summary Appendix A. Using PROCESS Appendix B. Monte Carlo Confidence Intervals in SPSS and SAS

26,144 citations


"Health behaviour mediates the relat..." refers methods in this paper

  • ...Finally, in order to test the mediating effects of health behaviours on the relationship between Type D and subjective health, we conducted mediation analysis using a regression-based approach and following the recommendations of Preacher and Hayes (2008) and Hayes (2013)....

    [...]

  • ...Type D was the independent factor, physical symptoms and quality of life were the dependent factors and health behaviour was entered as the mediator in the SPSS PROCESS tool created by Preacher and Hayes for bootstrap analyses (Hayes, 2013)....

    [...]

Journal ArticleDOI
TL;DR: An overview of simple and multiple mediation is provided and three approaches that can be used to investigate indirect processes, as well as methods for contrasting two or more mediators within a single model are explored.
Abstract: Hypotheses involving mediation are common in the behavioral sciences. Mediation exists when a predictor affects a dependent variable indirectly through at least one intervening variable, or mediator. Methods to assess mediation involving multiple simultaneous mediators have received little attention in the methodological literature despite a clear need. We provide an overview of simple and multiple mediation and explore three approaches that can be used to investigate indirect processes, as well as methods for contrasting two or more mediators within a single model. We present an illustrative example, assessing and contrasting potential mediators of the relationship between the helpfulness of socialization agents and job satisfaction. We also provide SAS and SPSS macros, as well as Mplus and LISREL syntax, to facilitate the use of these methods in applications.

25,799 citations


"Health behaviour mediates the relat..." refers methods in this paper

  • ...Following the procedures outlined by Preacher and Hayes (2008), we used a 95 per cent confidence interval (CI) of the indirect effects with 1000 bootstrap resamples....

    [...]

  • ...Finally, in order to test the mediating effects of health behaviours on the relationship between Type D and subjective health, we conducted mediation analysis using a regression-based approach and following the recommendations of Preacher and Hayes (2008) and Hayes (2013)....

    [...]

Journal ArticleDOI
TL;DR: In this article, a perceived availability of social support measure (the ISEL) was designed with independent subscales measuring four separate support functions, including self-esteem and appraisal support.
Abstract: A perceived availability of social support measure (the ISEL) was designed with independent subscales measuring four separate support functions. In a sample of college students, both perceived availability of social support and number of positive events moderated the relationship between negative life stress and depressive and physical symptomatology. In the case of depressive symptoms, the data fit a “buffering” hypothesis pattern, i.e., they suggest that both social support and positive events protect one from the pathogenic effects of high levels of life stress but are relatively unimportant for those with low levels of stress. In the case of physical symptoms, the data only partially support the buffering hypothesis. Particularly, the data suggest that both social support and positive events protect one from the pathogenic effects of high levels of stress but harm those (i.e., are associated with increased symptomatology) with low levels of stress. Further analyses suggest that self-esteem and appraisal support were primarily responsible for the reported interactions between negative life stress and social support. In contrast, frequency of past social support was not an effective life stress buffer in either the case of depressive or physical symptomatology. Moreover, past support frequency was positively related to physical symptoms and unrelated to depressive symptoms, while perceived availability of support was negatively related to depressive symptoms and unrelated to physical symptoms.

2,688 citations


"Health behaviour mediates the relat..." refers methods in this paper

  • ...The Cohen–Hoberman Inventory of Physical Symptoms (CHIPS; Cohen and Hoberman, 1983) consists of 33 items which assess the level at which the participant has experienced a selection of physical symptoms (e.g. sleep problems, headache, cold or cough) during the 2 weeks prior to the questionnaire…...

    [...]

  • ...The Cohen–Hoberman Inventory of Physical Symptoms (CHIPS; Cohen and Hoberman, 1983) consists of 33 items which assess the level at which the participant has experienced a selection of physical symptoms (e.g. sleep problems, headache, cold or cough) during the 2 weeks prior to the questionnaire being completed....

    [...]

  • ...The Cohen–Hoberman Inventory of Physical Symptoms (CHIPS; Cohen and Hoberman, 1983) consists of 33 items which assess the level...

    [...]

Journal ArticleDOI
TL;DR: The DS14 is a brief, psychometrically sound measure of negative affectivity and social inhibition that could readily be incorporated in epidemiologic and clinical research.
Abstract: OBJECTIVE Type D personality-a joint tendency toward negative affectivity (NA) and social inhibition (SI)-is related to poor cardiac prognosis, but there is no standard for assessing Type D. This study reports on the Type D Scale-14 (DS14) as a standard measure of NA, SI, and Type D. METHODS The study included 3813 participants (2508 from the general population, 573 cardiac patients, 732 hypertension patients). They all filled out the DS14, containing 7-item NA and SI subscales; 275 subjects also completed the NEO-FFI, and 121 patients filled out the DS14 twice. RESULTS Factor analysis of the DS14 yielded 2 dominant traits; all of the NA and SI items loaded between 0.62 to 0.82 on their corresponding factor (N = 3678). The NA scale covered dysphoria, worry, and irritability; the SI scale covered discomfort in social interactions, reticence, and lack of social poise. The NA and SI scales were internally consistent (alpha = 0.88/0.86; N = 3678), stable over a 3-month period (test-retest r = 0.72/0.82) and not dependent on mood and health status (N = 121). NA correlated positively with neuroticism (r = 0.68); SI correlated negatively with extraversion (r = -0.59/-0.65). Scale-level factor analysis confirmed the construct validity of the DS14 against the NEO-FFI. Using a cutoff of 10 (NA > or =10 and SI > or =10), 1027 subjects (28%) were classified as Type D, 21% in the general population versus 28% in coronary heart disease and 53% in hypertension (p < or = .001). Age, sex, and Type D (odds ratio, 3.98; 95% confidence interval, 3.2-4.6; p <.0001) were independently associated with cardiovascular morbidity. CONCLUSION The DS14 is a brief, psychometrically sound measure of negative affectivity and social inhibition that could readily be incorporated in epidemiologic and clinical research.

1,323 citations


"Health behaviour mediates the relat..." refers background or methods in this paper

  • ...Type D personality was measured using the Type D Personality Scale (DS14; Denollet, 2005)....

    [...]

  • ...Participants are classified as having a Type D personality if they score ⩾10 on both the NA and SI subscales (Denollet, 2005)....

    [...]

  • ...T-tests were carried out to examine the differences between Type D and non-Type D individuals using the traditional categorical cut-off method of classifying Type D (Denollet, 2005) in relation to their health behaviours, quality of life and physical symptoms....

    [...]

Journal ArticleDOI
TL;DR: It is found that type-D personality was a significant predictor of long-term mortality in patients with established CHD, independently of biomedical risk factors.

625 citations


"Health behaviour mediates the relat..." refers background in this paper

  • ...Type D personality’s association with negative health outcomes has been well documented (Denollet et al., 1996, 2000)....

    [...]

Frequently Asked Questions (15)
Q1. What have the authors contributed in "Health behaviour mediates the relationship between type d personality and subjective health in the general population abstract type d personality is associated with unhealthy behaviour and poor subjective health in the general population. the current study investigated whether health behaviour mediates the relationship between type d and subjective health. there were 217 participants who completed measures of type d, health-related behaviour, physical symptoms and quality of life. type d individuals" ?

The study demonstrates that health behaviour may partly explain the relationship between Type D and poor health outcomes. 

First, as the sample consists of healthy participants future research is required in order to test the mediating effects of health behaviour on the relationship between Type D and adverse clinical outcome in cardiac patients. Health behaviours therefore represent one potential mechanism to explain the negative effect of Type D on health outcomes. If the mediating effect of health behaviours is also identified in the relationship between Type D and poor clinical outcome in cardiac populations this represents a potential avenue for intervention as Type D individuals may benefit from intensive exposure to behaviour-change techniques. 

Regression analysis showed that Type D significantly predicted physical symptoms, (β = .291, t(216) = 4.39, p < .001), and health behaviours, (β = .337, t(216) = 5.19, p < .001). 

Regression analyses showed that Type D significantly predicted quality of life, (β = .444, t(216) = 7.23, p < .001), and health behaviours, (β = .337, t(216) = 5.19, p < .001). 

One other potential explanation for the link between Type D and poor lifestyle behaviours is that Type D individuals have less motivation for performing healthenhancing behaviours. 

Mediation analyses showed that health behaviours mediate the relationship between Type D and quality of life (β =2.60, CI = 1.49 to .4.3). 

A review by Mols and Denollet (2010) concluded that Type D has a negative impact on mental health status (e.g., symptoms of depression and anxiety) and on physical health status, including more somatic symptoms and lower health status. 

from 12 independent studies, that Type D has an effect on prognosis in cardiac patients, with a mean odds ratio of 2.3 for adverse events. 

From the sample of 217 participants, 69 (19 males and 50 females) were classified as Type D (31.8%) according to the recommended cut-off points of ≥10 for the subscales of NA (M = 16.00; SD = 4.82) and SI (M = 14.03; SD = 2.88). 

Results of the analysis demonstrated the mediating effect of health behaviours in the relationship between Type D and physical symptoms (β =-2.42, CI = -4.3 to -1.01). 

In terms of effect size, kappa-squared = .048, CI = .01 to .11, demonstrating a relatively small effect size for the partial mediating effects of health behaviour on the Type D and physical symptoms relationship. 

It has been suggested that Type D may promote the progression of heart disease indirectly through having an adverse effect on health behaviours (Kupper et al., 2013; Svansdottir et al., 2012). 

Kappa squared = 0.11, CI = .06 to .17, demonstrating a medium effect size for the partial mediating effect of health behaviour on the Type D and quality of life relationship. 

As well as being linked to a variety of physiological and immune system responses (e.g., Molloy et al., 2008; Whitehead et al., 2007), Type D has also been consistently linked to health behaviours (e.g., Williams et al., 2008). 

In addition, correlation analyses were performed in order to analyse the association between Type D (i.e., the multiplicative interaction term of NAxSI) and health behaviour and each of the subjective health outcomes.