Cross-cultural analysis of type D (distressed) personality in 6222 patients with ischemic heart disease: a study from the International HeartQoL Project

BACKGROUND Type D (distressed) personality, the conjoint effect of negative affectivity (NA) and social inhibition (SI), predicts adverse cardiovascular outcomes, and is assessed with the 14-item Type D Scale (DS14). However, potential cross-cultural differences in Type D have not been examined yet in a direct comparison of countries. AIM To examine the cross-cultural validity of the Type D construct and its relation with cardiovascular risk factors, cardiac symptom severity, and depression/anxiety. METHODS In 22 countries, 6222 patients with ischemic heart disease (angina, 33%; myocardial infarction, 37%; or heart failure, 30%) completed the DS14 as part of the International HeartQoL Project. RESULTS Type D personality was assessed reliably across countries (αNA>.80; αSI>.74; except Russia, which was excluded from further analysis). Cross-cultural measurement equivalence was established for Type D personality at all measurement levels, as the factor-item configuration, factor loadings, and error structure were not different across countries (fit: CFI=.91; NFI=.88; RMSEA=.018), as well as across gender and diagnostic subgroups. Type D personality was more prevalent in Southern (37%) and Eastern (35%) European countries compared to Northern (24%) and Western European and English-speaking (both 27%) countries (p<.001). Type D was not confounded by cardiac symptom severity, but was associated with a higher prevalence of hypertension, smoking, sedentary lifestyle, and depression. CONCLUSION Cross-cultural measurement equivalence was demonstrated for the Type D scale in 21 countries. There is a pan-cultural relationship between Type D personality and some cardiovascular risk factors, supporting the role of Type D personality across countries and cardiac conditions.

The position effect in a Rasch-homogenous test: A fixed-links modeling approach.

The position effect describes the influence of just-completed items in a psychological scale on subsequent items. This effect has been repeatedly reported for psychometric reasoning scales and is assumed to reflect implicit learning during testing. One way to identify the position effect is fixed-links modeling. With this approach, two latent variables are derived from the test items. Factor loadings of one latent variable are fixed to 1 for all items to represent ability-related variance. Factor loadings on the second latent variable increase from the first to the last item describing the position effect. Previous studies using fixed-links modeling on the position effect investigated reasoning scales constructed in accordance with classical test theory (e.g., Raven’s Progressive Matrices) but, to the best of our knowledge, no Rasch-scaled tests. These tests, however, meet stronger requirements on item homogeneity. In the present study, therefore, we will analyze data from 239 participants who have completed the Rasch-scaled Viennese Matrices Test (VMT). Applying a fixed-links modeling approach, we will test whether a position effect can be depicted as a latent variable and separated from a latent variable representing basic reasoning ability. The results have implications for the assumption of homogeneity in Rasch-homogeneous tests.