Abstract
Patient resilience and distress level prior to chemotherapy based on time estimation.
Author
person
Petya Kraleva
Medical Oncology Dept, MHAT Nadezhda Hospital, Sofia, Bulgaria
info_outline
Petya Kraleva, Mila Petrova, Teodor Popov, Nikolay Vladimirov Conev, Eleonora Dimitrova, Rossitza Krasteva Ruseva, Aynura Changalova, Bozhidar Iliev, Snezhina Nedeva, Tsvetan Tatarov, Georgi Zhbantov, Rosen Hadjiev, Ivan Donev
Full text
Authors
person
Petya Kraleva
Medical Oncology Dept, MHAT Nadezhda Hospital, Sofia, Bulgaria
info_outline
Petya Kraleva, Mila Petrova, Teodor Popov, Nikolay Vladimirov Conev, Eleonora Dimitrova, Rossitza Krasteva Ruseva, Aynura Changalova, Bozhidar Iliev, Snezhina Nedeva, Tsvetan Tatarov, Georgi Zhbantov, Rosen Hadjiev, Ivan Donev
Organizations
Medical Oncology Dept, MHAT Nadezhda Hospital, Sofia, Bulgaria, MHAT “Nadezhda”, Sofia, Bulgaria, Sofia, Bulgaria, Complex Oncology Cancer - Burgas, Burgas, Bulgaria, Medical University of Varna, Varna, Bulgaria, Department of Medical Oncology, MHAT UniHospital, Panagiurishte, Sofia, Bulgaria, Uni Hospital Oncology Center Panaguerishte, Panagiurishte, Bulgaria, MHAT Uni Hospital Panagyurishte, Panaguirishte, Bulgaria, University Hospital for ActiveTreatment, Sofia, Bulgaria, Department of Medical Oncology, Nadezhda Hospital, Sofia, Bulgaria
Abstract Disclosures
Research Funding
No funding received
None.
Background:
Our prospective and multicentric study aimed to determine if the effects of breast cancer patients' resilience on their distress levels are mediated by the assessment of time before initiating neo/adjuvant chemotherapy.
Methods:
In 104 chemo-naive breast cancer patients, time estimation was evaluated by comparing each subject's prospective estimate of how rapidly one minute passed to the actual time. The Distress Thermometer of the National Comprehensive Cancer Network was used. The range of the scale is from 0 (no distress) to 10 (extreme distress). The Connor-Davidson Resilience Questionnaire (CD-RISC), a self-reported 10-item unidimensional scale, was utilized to measure resilience. Respondents rate statements on a 5-point Likert scale ranging from 0 (not true at all) to 4 (true nearly all the time). A higher score reflects greater resilience. Based on their RISC scores, patients were divided into three groups: low (up to the 33
rd
percentile), intermediate (between the 33
rd
and the 66
th
percentile), and high (over the 66
th
percentile). Patients' time estimations were similarly divided. Cronbach's α was 0.87 for all 10 items.
Results:
The mean age of the patients was 53.1±12.4 years. RISC scores correlated positively with time estimation (rho = 0.31, p = 0.002) and negatively with distress levels (rho = -0.445, p < 0.001). A significant negative correlation was observed between time estimation and distress levels (rho = -0.394, p < 0.001). Correspondence analysis revealed a significant association across the three matching groups of RISC score and time estimation (χ
2
= 9.8, p = 0.044). The Jonckheere-Terpstra test revealed that patient estimates of time varied significantly between the three groups (p = 0.013). Using Hayes simple regression, we discovered that RISC scores were a significantly positive predictor of time estimation (b = 0.844, s.e. = 0.261, p < 0.0001). Both RISC score (b = -0.136, s.e. = 0.031, p < 0.0001) and time estimation (b = -0.041, s.e. = 0.011, p = 0.0005) were significant negative predictors for higher distress levels in the second regression.
Conclusions:
Via time estimation, patients' resilience influences distress levels prior to treatment initiation.
11 organizations
Organization
Medical Oncology Dept, MHAT Nadezhda HospitalOrganization
MHAT Nadezhda HospitalOrganization
MHAT “Nadezhda”Organization
Complex Oncology Cancer - BurgasOrganization
Medical University of VarnaOrganization
MHAT UniHospitalOrganization
Uni Hospital Oncology Center PanaguerishteOrganization
MHAT Uni Hospital PanagyurishteOrganization
University Hospital for ActiveTreatmentOrganization
Nadezhda Hospital