Purpose: Socioeconomic status (SES) influences the survival outcomes of patients with early breast cancer (EBC). However, limited research investigates social inequalities in their quality of life (QoL). This study examines the socioeconomic inequalities in QoL after an EBC diagnosis and their time trends.
Patients And Methods: We used data from the French prospective multicentric CANTO cohort (ClinicalTrials.gov identifier: NCT01993498), including women with EBC enrolled between 2012 and 2018. QoL was assessed using the European Organisation for Research and Treatment of Cancer QoL Core 30 questionnaire (QLQ-C30). summary score at diagnosis and 1 and 2 years postdiagnosis. We considered three indicators of SES separately: self-reported financial difficulties, household income, and educational level. We first analyzed the trajectories of the QLQ-C30 summary score by SES group. Then, social inequalities in QLQ-C30 summary score and their time trends were quantified using the regression-based slope index of inequality (SII), representing the absolute change in the outcome along socioeconomic gradient extremes. The analyses were adjusted for age at diagnosis, Charlson Comorbidity Index, disease stage, and type of local and systemic treatment.
Results: Among the 5,915 included patients with data on QoL at diagnosis and at the 2-year follow-up, social inequalities in QLQ-C30 summary score at baseline were statistically significant for all SES indicators (SII = -7.6 [-8.9; -6.2], SII = -4.0 [-5.2; -2.8]), SII = -1.9 [-3.1; -0.7]). These inequalities significantly increased (interaction < .05) in year 1 and year 2 postdiagnosis, irrespective of prediagnosis health, tumor characteristics, and treatment. Similar results were observed in subgroups defined by menopausal status and type of adjuvant systemic treatment.
Conclusion: The magnitude of preexisting inequalities in QoL increased over time after EBC diagnosis, emphasizing the importance of considering social determinants of health during comprehensive cancer care planning.
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http://dx.doi.org/10.1200/JCO.23.02099 | DOI Listing |
Sleep Breath
December 2024
Quality of Life Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran.
Support Care Cancer
November 2024
IQ Health Science Department, Radboud University Medical Center, Kapittelweg 54, 6525EP, Nijmegen, The Netherlands.
Purpose: This study examined the associations of device-measured moderate-to-vigorous physical activity (MVPA) and sedentary time as well as self-reported MVPA with health-related quality of life (HRQoL) in patients with localized renal cell cancer (RCC) in the recovery phase after surgery.
Methods: At 3 months post-surgery, 341 patients with stage I-III RCC participating in the ReLife study wore an ActivPAL3 device to determine MVPA and sedentary time. The SQUASH questionnaire was used for assessing self-reported MVPA, and the EORTC QLQ-C30 for assessing HRQoL (range 0-100).
Eur Urol Open Sci
December 2024
Department of Urology, Aarhus University Hospital, Aarhus, Denmark.
J Clin Epidemiol
November 2024
Center for Internal Medicine and Dermatology, Department of Psychosomatic Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany; BIH Charité Digital Clinician Scientist Program, BIH Biomedical Innovation Academy, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1 10117, Berlin, Germany.
Objectives: Health state utility (HSU) instruments for calculating quality-adjusted life years, such as the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Utility - Core 10 Dimensions (QLU-C10D), derived from the EORTC QLQ-30 questionnaire, the Patient-Reported Outcome Measurement Information System (PROMIS) preference score (PROPr), and the EuroQoL-5-Dimensions-5-Levels (EQ-5D-5L), yield different HSU values due to different modeling and different underlying descriptive scales. For example the QLU-C10D includes cancer-relevant dimensions such as nausea. This study aimed to investigate how these differences in descriptive scales contribute to differences in HSU scores by comparing scores of cancer patients receiving chemotherapy to those of the general population.
View Article and Find Full Text PDFJ Obstet Gynaecol
December 2024
Department of Gynaecology, The First Affiliated Hospital of Xingtai Medical College, Xingtai, China.
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