OBJECTIVE: To examine predictive values for the effect of the "Type 1" (hopeless and emotion-suppressive, cancer prone), "Type 4" (autonomous, healthy), and "Type 5" (rational/antiemotional, cancer prone) personalities proposed by Grossarth-Maticek on the prognosis of lung cancer patients. METHODS: 68 lung cancer patients were scored on the Types 1, 4, and 5 personality scales of the Short Interpersonal Reactions Inventory and were followed until the date of death or were censored at a maximum of 5.7 years after entry. RESULTS: The stage at diagnosis tended to be higher in patients with a high Type 1 or a low Type 4 score. A univariate Cox proportional hazards model showed that a high tendency toward Type 1 or Type 5 was related to an increased hazard of death. Adjustment for age, performance status, and stage, however, attenuated the relation to Type 1, leaving only Type 5 as a significantly related personality factor. CONCLUSION: A high Type 5 tendency may predict poor survival in lung cancer patients, whereas Types 1 and 4 may not be independent predictors.
OBJECTIVE: To examine predictive values for the effect of the "Type 1" (hopeless and emotion-suppressive, cancer prone), "Type 4" (autonomous, healthy), and "Type 5" (rational/antiemotional, cancer prone) personalities proposed by Grossarth-Maticek on the prognosis of lung cancerpatients. METHODS: 68 lung cancerpatients were scored on the Types 1, 4, and 5 personality scales of the Short Interpersonal Reactions Inventory and were followed until the date of death or were censored at a maximum of 5.7 years after entry. RESULTS: The stage at diagnosis tended to be higher in patients with a high Type 1 or a low Type 4 score. A univariate Cox proportional hazards model showed that a high tendency toward Type 1 or Type 5 was related to an increased hazard of death. Adjustment for age, performance status, and stage, however, attenuated the relation to Type 1, leaving only Type 5 as a significantly related personality factor. CONCLUSION: A high Type 5 tendency may predict poor survival in lung cancerpatients, whereas Types 1 and 4 may not be independent predictors.
Authors: Cédric Lemogne; Hermann Nabi; Marie Zins; Sylvaine Cordier; Pierre Ducimetière; Marcel Goldberg; Silla M Consoli Journal: Psychother Psychosom Date: 2010-02-20 Impact factor: 17.659
Authors: Hermann Nabi; Mika Kivimäki; Michael G Marmot; Jane Ferrie; Marie Zins; Pierre Ducimetière; Silla M Consoli; Archana Singh-Manoux Journal: Int J Epidemiol Date: 2008-02-14 Impact factor: 7.196
Authors: Cédric Lemogne; Silla M Consoli; Béatrice Geoffroy-Perez; Mireille Coeuret-Pellicer; Hermann Nabi; Maria Melchior; Frédéric Limosin; Marie Zins; Pierre Ducimetière; Marcel Goldberg; Sylvaine Cordier Journal: Psychosom Med Date: 2013-03-19 Impact factor: 4.312
Authors: Hermann Nabi; Mika Kivimäki; Marie Zins; Marko Elovainio; Silla M Consoli; Sylvaine Cordier; Pierre Ducimetière; Marcel Goldberg; Archana Singh-Manoux Journal: Int J Epidemiol Date: 2008-02-08 Impact factor: 7.196
Authors: Rathi Mahendran; Shi Min Chua; Haikel A Lim; Isaac J Yee; Joyce Y S Tan; Ee Heok Kua; Konstadina Griva Journal: BMJ Open Date: 2016-10-06 Impact factor: 2.692