Level of incongruence during cardiac rehabilitation and prediction of future CVD-related hospitalizations plus all-cause mortality

References

• Babyak, M. A. (2004). What you see may not be what you get: A brief, non-technical introduction to over fitting in regression-type models. Psychosomatic Medicine, 66, 411–421.
   PubMed Web of Science ®Google Scholar
• Barth, J., Schumacher, M., & Herrmann-Lingen, C. (2004). Depression as a risk factor for mortality in patients with coronary heart disease: A meta-analysis. Psychosomatic Medicine, 66, 802–813.10.1097/01.psy.0000146332.53619.b2
   PubMed Web of Science ®Google Scholar
• Berking, M., Grosse Holtforth, M., & Jacobi, C. (2003). Reduction of incongruence in inpatient psychotherapy. Clinical Psychology & Psychotherapy, 10, 86–92.
   Web of Science ®Google Scholar
• Blum, M. R., Schmid, J.-P., Eser, P., & Saner, H. (2013). Long-term results of a 12-week comprehensive ambulatory cardiac rehabilitation program. Journal of Cardiopulmonary Rehabilitation Prevention, 33, 84–90.10.1097/HCR.0b013e3182779b88
   PubMed Web of Science ®Google Scholar
• Bullinger, M., & Kirchberger, I. (1998). SF-36 Fragebogen zum Gesundheitszustand – Manual [SF-36 health survey – Manual]. Göttingen: Hogrefe.
   Google Scholar
• Denollet, J., Schiffer, A. A., & Spek, V. (2010). A general propensity to psychological distress affects cardiovascular outcomes: Evidence from research on the type D (distressed) personality profile. Circulation Cardiovascular Quality and Outcomes, 3, 546–557.10.1161/CIRCOUTCOMES.109.934406
   PubMed Web of Science ®Google Scholar
• Diener, E. (2000). Subjective well-being. The science of happiness and a proposal for a national index. American Psychologist, 55, 34–43.10.1037/0003-066X.55.1.34
   PubMed Web of Science ®Google Scholar
• Do, C. B., & Batzoglou, S. (2008). What is the expectation maximization algorithm? Nature Biotechnology, 26, 897–899.10.1038/nbt1406
   PubMed Web of Science ®Google Scholar
• Ellert, U., & Kurt, B. M. (2004). Methodische Betrachtungen zu den Summenscores des SF-36 anhand der erwachsenen bundesdeutschen Bevölkerung [Methodological reflections on the sum score of the SF-36 based on the adult German population]. Bundesgesundheitsblatt – Gesundheitsforschung – Gesundheitsschutz, 47, 1027–1032.10.1007/s00103-004-0933-1
   PubMedGoogle Scholar
• Grawe, K. (1998). Psychologische Therapie [Psychological Therapy]. Göttingen: Hogrefe.
   Google Scholar
• Grosse Holtforth, M., & Grawe, K. (2003). Der Inkongruenzfragebogen (INK). Ein Messinstrument zur Analyse motivationaler Inkongruenz [The incongruence questionnaire (INC). A measuring instrument for the analysis of motivational incongruence]. Zeitschrift für Klinische Psychologie und Psychotherapie, 32, 315–323.10.1026//1616-3443.32.4.315
   Web of Science ®Google Scholar
• Grosse Holtforth, M., & Grawe, K. (2004). Inkongruenz und Fallkonzeption in der Psychologische Therapie [Incongruence and case design in psychological therapy]. Verhaltenstherapie & psychosoziale Praxis, 36, 9–21.
   Google Scholar
• Grosse Holtforth, M., Grawe, K., & Tamcan, Ö. (2004). Der Inkongurenzfragebogen (INK) – Handanweisung [Incongruence questionnaire (INC) – handinstruction]. Göttingen: Hogrefe.
   Google Scholar
• Holmbeck, G. N. (2002). Post-hoc probing of significant moderational and meditational effects in studies of pediatric populations. Journal of Pediatric Psychology, 27, 87–96.10.1093/jpepsy/27.1.87
   PubMed Web of Science ®Google Scholar
• Huether, G. (2002). Und nichts wird fortan so sein wie bisher … Die Folgen traumatischer Kindheitserfahrungen für die weitere Hirnentwicklung [And nothing will ever be the same from now on … The consequences of traumatic childhood experiences for the further development of the brain]. Analytische Kinder- und Jugendlichenpsychotherapie, 33, 461–476.
   Google Scholar
• Melamed, S., Shirom, A., Toker, S., Berliner, S., & Shapira, I. (2006). Burnout and risk of cardiovascular disease: Evidence, possible causal paths, and promising research directions. Psychological Bulletin, 132, 327–353.10.1037/0033-2909.132.3.327
   PubMed Web of Science ®Google Scholar
• Roest, A. M., Martens, E. J., Denollet, J., & de Jonge, P. (2010). Prognostic association of anxiety post myocardial infarction with mortality and new cardiac events: A meta-analysis. Psychosomatic Medicine, 72, 563–569.10.1097/PSY.0b013e3181dbff97
   PubMed Web of Science ®Google Scholar
• Roth, W. L., Freiburg, M., & Krampen, G. (2009). Construct validation of the incongruence questionnaire. Zeitschrift für Klinische Psychologie und Psychotherapie, 38, 166–174.10.1026/1616-3443.38.3.166
   Web of Science ®Google Scholar
• Rozanski, A., Blumenthal, J. A., Davidson, K. W., Saab, T. G., & Kubzansky, L. (2005). The epidemiology, pathophysiology, and management of psychosocial risk factors in cardiac practice. Journal of the American College of Cardiology, 45, 637–651.10.1016/j.jacc.2004.12.005
   PubMed Web of Science ®Google Scholar
• Von Känel, R. (2012). Psychosocial stress and cardiovascular risk – Current opinion. Swiss Medical Weekly, 20, w13502.
   Google Scholar
• Ware, J., & Gandek, B. (1998). Overview of the SF-36 health survey and the international quality of life assessment (IQOLA) project. Journal of Clinical Epidemiology, 51, 903–912.10.1016/S0895-4356(98)00081-X
   PubMed Web of Science ®Google Scholar
• Ware, J., & Sherbourne, C. (1992). The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Medical Care, 30, 473–483.10.1097/00005650-199206000-00002
   PubMed Web of Science ®Google Scholar
• Williams, J. E., Paton, C. C., Siegler, I. C., Eigenbrodt, M. L., Nieto, F. J., & Tyroler, H. A. (2000). Anger proneness predicts coronary heart disease risk: Prospective analysis from the atherosclerosis risk in communities (ARIC) study. Circulation, 101, 2034–2039.10.1161/01.CIR.101.17.2034
   PubMed Web of Science ®Google Scholar