Evaluate quality of life in ovarian cancer patients. Methods: To collect information, a diagnostic survey was carried out using the standardised survey questionnaires QLQ-C30 (quality of life questionnaire) and QLQ-OV28. The 105 women who were enrolled in the study had been diagnosed at the Diagnostic Imaging Centre and were undergoing treatment at the Chemotherapy Department of the Provincial Polyclinical Hospital in Toruń. Results: The study group consisted of women aged 35-72 years. The average age of the women was 53.2 years. Most women had secondary education-46.7%, the fewest group had vocational education-13.3%. On a scale of 1-7, most of the women rated their health status from the previous week at 4 points-31.4%, at 5 points-27.6%, and at 3 points-22.9%. Similar results were found for quality of life: 4 points-32.4%, 5 points-25.7%, and 3 points-21.9%. The women aged 45 years and younger gave the highest rating to all the sub-scales, apart from hormonal symptoms (80.45 s ± 12.96) and body image (61.60 s ± 28.63), which received the highest rating from the women aged >62 years. Conclusion: The quality of life in ovarian cancer patients is related to their age, education and marital status. There is a correlation between the quality of life of the respondents and their family history of ovarian and/or breast cancer.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.