MethodsTwo hundred thirty cancer survivors recruited
from two Chinese hospitals completed self-report measures of perceived posttraumatic growth, emotion regulation, positive and negative affect, and general self-efficacy. Correlation analysis, hierarchical linear regression analysis, and Sobel test were used for data analysis.
ResultsOur findings revealed that perceived level of posttraumatic growth was associated with greater positive this website affect, more effective emotion regulation, and higher level of general self-efficacy. No significant correlation could be found between negative affect and perceived posttraumatic growth. In addition, positive affect partially mediated the effects of expressive revealing and general self-efficacy on perceived posttraumatic growth while totally mediating the relationship between expressive suppression and perceived posttraumatic growth.
ConclusionsPositive affect, expressive revealing, and general self-efficacy are important predictors of see more perceived posttraumatic growth among cancer survivors. Our findings also suggested that the effects of emotion
regulation and general self-efficacy upon perceived posttraumatic growth may be closely related to the level of positive affect. Copyright (c) 2013 John Wiley & Sons, Ltd.”
“This study investigates the evolution in the growth of FeSi nanoislands on Si(001). Under proper growth conditions, nanoislands spontaneously cluster into groups on rectangular
FeSi terraces depending on both substrate temperature and deposition coverage. This study discussed the self-clustering mechanism in the context of strain relaxation and mass transportation between nanoislands and terraces. (C) 2010 American Institute of Physics. [doi: 10.1063/1.3452359]“
“Aim:
Colorectal cancer (CRC) is one of Nirogacestat Neuronal Signaling inhibitor the most common malignancies worldwide and adjuvant chemotherapy is proven to improve survival in patients with Dukes’ C CRC. The purpose of this study was to analyze factors influencing referral to medical oncology in patients with Dukes’ C colonic cancer in our institutions.
Methods:
Patients who underwent resection for Dukes’ C colonic cancer were assessed for factors that influence the pattern of postoperative referral to the medical oncology department, including demographic and perioperative data.
Results:
Overall, 466 patients were identified to have Dukes’ C colonic cancer, with 53.9% of these being female. Referral to medical oncology occurred for 58.4% patients. Multivariable logistic regression modeling identified age, elective admission and resection in private hospitals as factors. The likelihood of medical oncology referral in patients who had elective resection was 63% versus 41% in those who had emergency resection and resection in private hospitals was 69% versus 50% in public hospitals.
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