Original articleNegative affectivity and social inhibition in cardiovascular disease: Evaluating type-D personality and its assessment using item response theory
Introduction
Early identification of cardiovascular patients who are characterized by an unfavorable clustering of psychological risk factors [1] is important in order to improve their prognosis and quality of life. A recent report of the National Heart, Lung, and Blood Institute working group on outcomes research in cardiovascular disease also recommended studies to identify the key determinants of patient-centered outcomes such as quality of life and functional status [2].
In recent years, we have argued that the personality traits of Negative Affectivity (NA) and Social Inhibition (SI) are of special interest in this context [3]. NA denotes the stable tendency to experience negative emotions [4]; high-NA individuals experience more feelings of dysphoria, anxious apprehension, and irritability across time and situations. SI denotes the stable tendency to inhibit the expression of emotions and behaviors in social interaction [5]; high-SI individuals tend to feel inhibited, tense, and insecure when with others. Individuals who are characterized by high NA as well as SI seem to scan the world for signs of impending trouble [6] and avoid negative reactions from others through excessive control over self-expression [7].
Relatively high scores on both NA and SI define the distressed personality type or type-D personality [8]. This type-D personality profile is independently associated with an unfavorable clinical course and poor patient-centered outcomes in various cardiovascular populations, including those with ischemic heart disease [3], [8], drug-eluting stenting [9], cardiac arrhythmias [10], peripheral arterial disease [11], and heart failure [12]. The DS14 [13] is a brief self-report measure that was specifically designed for standard assessment of a propensity towards general emotional distress of type-D individuals. The DS14 contains revised items from its predecessor, the DS16 [14], and some new items. The DS14 comprises seven items measuring NA and seven items measuring SI. The content of the items and their underlying lower level constructs of the DS14 can be found in Table 1. A score at or above 10 (range 0–28) on both the NA and SI subscales of the DS14 designates those who have a type-D personality [15]. These choices for the cutoffs were based on the median split in representative samples. Clinical evidence for this cutoff-based type-D classification was obtained in longitudinal clinical studies and empirical evidence from latent class cluster analysis [15].
Despite the apparent promise of the DS14 assessment of NA, SI, and type-D personality in cardiovascular patients, a number of substantive and measurement issues still require further examination. First, from earlier studies it is unclear to what extent the items contribute to reliable classification of type-D and non-type-D individuals using a cutoff of 10 on both the NA and SI scales; that is, more information is needed to document the relative contribution of individual items to the measurement precision of the scale and the reliability of NA and SI assessment around the cutoffs. Items that have the highest relative contribution are the strongest markers of the underlying type-D concept. Second, it is unclear whether there is a difference in item responses between individuals with the same trait values belonging to different clinical populations; that is, individuals surviving an acute coronary event, high-risk individuals without acute coronary event, and individuals from the population at large. Assessment of the comparability across populations is an important part of the validation process when scales are used in different populations. Differences in test and item characteristics between populations may point at substantive qualitative differences [16] in distressed type-D personality that need further exploration.
Both research questions can be more adequately addressed using item response theory (IRT) than using classical test theory (CTT). IRT methods have been applied to measure distress and quality of life in the medical context, including the shortening of scales to measure psychopathology in general, medical wards [17], or quality of life in cancer patients [18], and the rating of musculoskeletal pain in rehabilitation patients [19]. There is, however, a paucity of research on personality in the medical context, including the use of IRT methods in this context. In the present paper, we address this issue by applying IRT analyses to the DS14 assessment of NA, SI, and type-D personality in both individuals from the general population and patients with cardiovascular disorder and hypertension. We first explain the principles of IRT and the advantages of IRT to CTT to analyze the DS14. Second, we report the results of IRT analyses with an emphasis on the relative contribution of individual items to the measurement precision. Third, we focus on the comparability of NA, SI, and type-D assessment in qualitatively distinct groups. Finally, we discuss how the DS14 can be improved in future scale revisions.
Section snippets
Item response theory
Psychological variables, such as NA and SI, cannot be observed directly. These psychological variables are referred to as latent traits symbolized by the Greek letter θ. The goal of psychological measurement is to determine a person's position on the latent trait from a set of observed item responses.
The building blocks of IRT are the item response functions (IRFs). These functions describe the relation between the probability of responding in a certain category (e.g., strongly disagree,
The present research
The present research uses the advantages of IRT (1) to further elaborate our understanding of type-D personality and (2) its assessment in qualitatively different groups. Furthermore, we investigated whether the DS14 allows more fine-grid distinctions between levels of type-D personality, and to what extent further scale revisions (e.g., shortening the scale, or reducing the number of item categories) are justified.
(1) The first issue concerns measurement precision and the relative contribution
Participants and measures
Part of the data from Denollet's [13] study were used. In particular, we used samples that were matched by age range, resulting in data from the Dutch and Belgian population consisting of 2475 (1497 males and 978 females) respondents whose ages ranged from 40 through 87 (mean=57.73 and S.D.=9.80 for males and mean=56.36 with S.D.=10.41 for females). The sample included 1316 (720 males, 596 females) persons from the general population, 427 (399 males, 28 females) respondents diagnosed with
Study 2: Comparability across groups
In Study 2 we focused on the comparability of NA, SI, and type-D assessment in qualitatively distinct groups: persons from the general population, with CHD, and with hypertension. In IRT, measurement invariance is often investigated by means of DIF analysis (e.g., Ref. [39]). An item shows DIF if two respondents having equal levels of θ, but coming from distinct groups, have different probabilities of endorsing each response category of that item. This means that the probability of answering in
General discussion
In this study, we investigated the assessment of NA and SI as indicators of type-D personality in the medical context. Persons with a type-D personality profile have a high position on the personality dimensions NA and SI [13]. It has been argued that psychological research needs to explore newer personality constructs such as type-D to see how such constructs may contribute to our understanding of the pathogenic effects of personality on the development and progression of heart disease [49].
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