Abstract

Introduction: The aim of this study was to predict cancer survival according to the role of demographic determinants, psychological factors and tumor grade. Methods: In this cross-sectional retrospective study, 350 patients with blood, breast, prostate, lung, stomach and colon cancers (173 patients with cancer survival for more than 2 years and 177 patients with cancer survival for 2 years or less) were selected by convenience sampling method among patients who referred to the Semnan Kosar Hospital and Specialized Cancer Treatment Centers in Semnan. Data was collected by the Posttraumatic Growth Inventory (PTGI), Inner Strength Questionnaire (ISQ), Bell Object Relations and Reality Testing Inventory (BORRTI), Self-Efficacy Scale for Self-Management (SESSM) and disease-demographic characteristics questionnaires. Data were analyzed by binary logistic regression analysis using the SPSS 20 software. Results: Age (P<0.001) and low-grade tumors (P<0.01) have reverse correlation and the post-traumatic growth has positive significant correlation (P<0.01) with cancer survival for more than 2 years survival group. Age (Exp=1.10), low-grade tumors (Exp=4.37) and post-traumatic growth (Exp=1.06) can predict cancer survival for more than 2 years in the cancer patients (P<0.01). Conclusion: Considering the role of age, tumor grade and post-traumatic growth in the prediction of cancer patients’ survival, it can be suggested that preventive programs are important to detect and diagnose cancer and administer tailored interventions in the critical time period.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.