Vnitr Lek 2017, 63(6):389-396 | DOI: 10.36290/vnl.2017.082

Predictors of quality of life in Czech female breast cancer survivors following treatment with special interest to coping strategies

Jiří Jarkovský^1,*, Kateřina Skřivanová², Klára Benešová¹, Lenka Šnajdrová¹, Jakub Gregor¹, Hana Peterková³, Marcela Bendová⁴, Dagmar Brančíková⁵, Nela Elfmarková⁶, Tomáš Svěrák⁶, Ľubomíra Anderková⁶, Luboš Minář⁴, Markéta Protivánková⁵, Jan Nedvěd³, Ladislav Dušek¹, Lydia Temoshok⁷

¹ Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic

² Department of Clinical Psychology of University Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czech Republic

³ Faculty of Medicine, Masaryk University, Brno, Czech Republic

⁴ Department of Obstetrics and Gynaecology, University Hospital Brno and Masaryk University, Brno, Czech Republic

⁵ Department of Internal Medicine, Haematology and Oncology, University Hospital Brno and Masaryk University, Brno, Czech Republic

⁶ Faculty of Medicine and Applied Neuroscience Research Group, Central European Institute of Technology, Masaryk University (CEITEC MU), Brno, Czech Republic

⁷ University of Maryland, Catonsville, MD, USA

Objectives:
This study examined the prognostic significance of breast cancer patients' characteristics (coping strategies, BMI, age) and disease characteristics (stage of disease, relapse) with respect to quality of life (QoL) following treatment.


Sample and settings:
120 breast cancer patients following treatment were recruited. Health-related QoL was assessed using the Czech version of FACT-B and SF-36; additionally, we used a life satisfaction questionnaire. Coping strategies were assessed using the SVF-78 method. In our sample of women, the average time from diagnosis to start of the study was 5.3 years.


Statistical analysis:
Factors influencing QoL after treatment were analysed with univariate and multivariate linear regression.

Results:
Overall negative strategy defined in SVF-78 (Flight tendency, Resignation and Self-accusation) was found to be associated with lower scores of most components of used QoL methods, while Resignation was found as the most negatively influencing strategy. Active problem confrontation (Situation control and Positive self-instruction) was associated with better QoL. More advanced stages and recurrence were related to a significant decrease in QoL for certain components only.

Conclusion:
Our findings suggest a significant predictive power of disease-related factors and of patients' characteristics including coping strategies for QoL following treatment in Czech breast cancer survivors.

Keywords: breast cancer survivors; coping strategy; linear regression model; quality of life prediction; resignation

Received: April 27, 2017; Accepted: June 19, 2017; Published: June 1, 2017  Show citation