OBJECTIVE: Prostate cancer is the most common cancer among men in Lithuania. Quality of life (QoL) assessment plays a key role in the evaluation and treatment of cancer patients. The aim of this study was to evaluate factors affecting the QoL of patients with prostate cancer in Lithuania. MATERIAL AND METHODS: A cross-sectional national-level study was performed. QoL was investigated with the EORTC QLQ-C30 questionnaire. Statistical analysis included descriptive statistics, interrelationship analysis between characteristics and multivariate logistic regression to estimate predictors and odds ratios (ORs) for each of the independent variables in the model. RESULTS: The response rate was 74.8% (N = 486). One-quarter of respondents with prostate cancer indicated high QoL scores. Higher QoL scores were given for prostate cancer patients with lower education level [OR = 3.092, 95% confidence interval (CI) 1.007-9.491, p = 0.049], having lower monthly expenses for treatment (OR = 3.653, CI 1.318-10.128, p = 0.013), disease stage II (by patient conveyance) (OR = 10.053, CI 1.015-99.534, p = 0.048), disease stage I (by medical record) (OR = 2.19E + 08, CI 218514200.17-218514200.17, p < 0.001) and in those with undisclosed disease stage (OR = 9.220, CI 1.251-67.965, p = 0.029). CONCLUSIONS: Significant predictors for higher QoL scores were education level, own monthly expenses for treatment and disease stage. Patients with undisclosed disease stage more often had higher QoL scores.
OBJECTIVE:Prostate cancer is the most common cancer among men in Lithuania. Quality of life (QoL) assessment plays a key role in the evaluation and treatment of cancerpatients. The aim of this study was to evaluate factors affecting the QoL of patients with prostate cancer in Lithuania. MATERIAL AND METHODS: A cross-sectional national-level study was performed. QoL was investigated with the EORTC QLQ-C30 questionnaire. Statistical analysis included descriptive statistics, interrelationship analysis between characteristics and multivariate logistic regression to estimate predictors and odds ratios (ORs) for each of the independent variables in the model. RESULTS: The response rate was 74.8% (N = 486). One-quarter of respondents with prostate cancer indicated high QoL scores. Higher QoL scores were given for prostate cancerpatients with lower education level [OR = 3.092, 95% confidence interval (CI) 1.007-9.491, p = 0.049], having lower monthly expenses for treatment (OR = 3.653, CI 1.318-10.128, p = 0.013), disease stage II (by patient conveyance) (OR = 10.053, CI 1.015-99.534, p = 0.048), disease stage I (by medical record) (OR = 2.19E + 08, CI 218514200.17-218514200.17, p < 0.001) and in those with undisclosed disease stage (OR = 9.220, CI 1.251-67.965, p = 0.029). CONCLUSIONS: Significant predictors for higher QoL scores were education level, own monthly expenses for treatment and disease stage. Patients with undisclosed disease stage more often had higher QoL scores.
Authors: Claire de Oliveira; Karen E Bremner; Andy Ni; Shabbir M H Alibhai; Audrey Laporte; Murray D Krahn Journal: J Cancer Surviv Date: 2013-08-23 Impact factor: 4.442
Authors: Xavier Bonfill; María José Martinez-Zapata; Robin W M Vernooij; María José Sánchez; María Morales Suárez-Varela; Javier de la Cruz; José Ignacio Emparanza; Montserrat Ferrer; José Ignacio Pijoán; Juan M Ramos-Goñi; Joan Palou; Stefanie Schmidt; Víctor Abraira; Javier Zamora Journal: BMC Urol Date: 2015-07-02 Impact factor: 2.264