Aprospective study of the effects of cancer-prone personalities on the prognosis of lung cancer patients
Project/Area Number |
15590601
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
General internal medicine (including Psychosomatic medicine)
|
Research Institution | KYUSHU UNIVERSITY |
Principal Investigator |
NAGANO Jun Kyushu University, Institute of Health Science, Associate Professor, 健康科学センター, 助教授 (10325483)
|
Project Period (FY) |
2003 – 2004
|
Project Status |
Completed (Fiscal Year 2004)
|
Budget Amount *help |
¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 2004: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2003: ¥800,000 (Direct Cost: ¥800,000)
|
Keywords | Stress, psychological / Personality / Psychosomatic medicine / Lung cancer / Psycho-oncology / Survival analysis / Prospective study |
Research Abstract |
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.
|
Report
(3 results)
Research Products
(16 results)