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Increased Anxiety and Depression in Danish Cardiac Patients with a Type D personality: Cross-Validation of the Type D Scale (DS14)

BACKGROUND: Type D personality is an emerging risk factor in cardiovascular disease. We examined the psychometric properties of the Danish version of the Type D Scale (DS14) and the impact of Type D on anxiety and depression in cardiac patients. METHOD: Cardiac patients (n = 707) completed the DS14,...

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Detalles Bibliográficos
Autores principales: Spindler, Helle, Kruse, Charlotte, Zwisler, Ann-Dorthe, Pedersen, Susanne S.
Formato: Texto
Lenguaje:English
Publicado: Springer US 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2707957/
https://www.ncbi.nlm.nih.gov/pubmed/19322662
http://dx.doi.org/10.1007/s12529-009-9037-5
Descripción
Sumario:BACKGROUND: Type D personality is an emerging risk factor in cardiovascular disease. We examined the psychometric properties of the Danish version of the Type D Scale (DS14) and the impact of Type D on anxiety and depression in cardiac patients. METHOD: Cardiac patients (n = 707) completed the DS14, the Hospital Anxiety and Depression Scale, and the Eysenck Personality Questionnaire. A subgroup (n = 318) also completed the DS14 at 3 or 12 weeks. RESULTS: The two-factor structure of the DS14 was confirmed; the subscales negative affectivity and social inhibition were shown to be valid, internally consistent (Cronbach’s α = 0.87/0.91; mean inter-item correlations = 0.49/0.59), and stable over 3 and 12 weeks (r = 0.85/0.78; 0.83/0.79; ps < 0.01). Type D was an independent associate of anxiety (β, 0.49; p < 0.01) and depression (β, 0.47; p < 0.01) in univariable linear regression analysis and remained a significant independent associate of anxiety (β, 0.26; p < 0.01) and depression (β, 0.17; p < 0.01) in adjusted analyses. CONCLUSIONS: The Danish DS14 was shown to be a valid and reliable measure associated with increased symptoms of anxiety and depression independent of socio-demographic and clinical risk factors. The DS14 may be used in research and clinical practice to identify high-risk patients.