Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

Quality of Life in Women with Cancer and Its Influencing Factors

Journal of Caring Sciences, Volume 8, No. 1, Year 2019

Introduction: Studies show that some of the factors such as pain and psychological changes could decrease the quality of life of patients with cancer. The understanding of these factors can enhance the effectiveness and process of cancer treatment. Therefore this study was conducted to investigate the quality of life in women with cancer and its influencing factors. Methods: This was a cross-sectional study which was carried out in the city of Tabriz in the northwestern part of Iran in 2016. The sample consisted of 150 women diagnosed with cancer. The EORTC QLQ-C30 (version 3) was used for evaluating the quality of life of the women. The collected data were analyzed in the SPSS ver. 13 using descriptive and inferential statistics. Also, t-test and ANOVA test were applied to investigate the correlation between the dimensions of quality of life and socio-demographic variables. P < 0.05 denoted as statistically significant. Results: The results showed that the quality of life in the function and symptoms dimensions were in acceptable levels. In the function dimension, the highest and lowest scores belonged to the cognitive and emotional domains, respectively. Also, those women who had the symptoms of insomnia and fatigue, and reported the pressure due to financial burden of cancer treatment had a significantly lower quality of life. A low score was reported in general health dimension. No statistically significant relationships were reported between the socio-demographic characteristics and the women’s quality of life and its dimensions. Conclusion: Since sleeplessness and fatigue reduce the quality of life in women with cancer, nursing interventions are required to relieve cancer-related symptoms. The financial burden of cancer treatment is high. Therefore, governmental and insurance agencies should help with the costs paid by the patients and prevent from reducing their quality of life.
Statistics
Citations: 10
Authors: 5
Affiliations: 4
Identifiers
Research Areas
Cancer
Disability
Study Design
Cross Sectional Study
Study Approach
Quantitative
Participants Gender
Female