ArticlePeerJ2016
Is type-D personality trait(s) or state? An examination of type-D temporal stability in older Israeli adults in the community.
Article in PeerJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- A Controlled Community Study of Distress and Resilience in Women Diagnosed with Fibromyalgia and Systemic Lupus Erythematosus.Journal of clinical psychology in medical settings · 2023Article
- An exploratory study of adolescent response to fluoxetine using psychological and biological predictors.PeerJ · 2018Article
- Four years stability of type D personality in patients with moderate to severe psoriasis and its implications for psychological impairment.Anais brasileiros de dermatologiaArticle
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Authors and funding
1 author.
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Abstract
Background. Type D personality was suggested as a marker of poorer prognosis for patients of cardiovascular disease. It is defined by having a score of 10 or more on both sub-scales of the DS14 questionnaire, Social Inhibition (SI) and Negative Affectivity (NA). As Type D was designed to predict risk, its temporal stability is of prime importance. Methods. Participants in the current study were 285 community volunteers, who completed the DS14, and other personality scales, at a mean interval of six years. Results. The prevalence of Type D did not change. The component traits of Type D showed rank order stability. Type D caseness temporal stability was improved by using the sub-scales product as a criterion. Logistic hierarchical regression predicting Type D classification from Time1 demonstrated that the best predictors were Time1 scores on NA and SI, with the character trait of Cooperation, and the alexithymia score adding some predictive power. Conclusions. The temporal stability of the component traits, and of the prevalence of Type D were excellent. Temporal stability of Type D caseness may be improved by using a product threshold, rather than the current rule. Research is required in order to formulate the optimal timing for Type D measurement for predictive purposes.
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