Abstract
This study examined racial/ethnic differences in comorbidity burden and health-related quality of life (HRQOL) among older women before breast cancer diagnosis. From Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey (SEER-MHOS) linked data resource, 2513 women diagnosed with breast cancer at ≥ 65 years between 1998 and 2012 were identified and grouped based on comorbidity burden using latent class analysis. Pre-diagnosis HRQOL was measured using SF-36/VR-12 and summarized to physical (PCS) and mental component summary (MCS) scores. The adjusted least-square means and 95% confidence intervals were obtained according to comorbidity burden and race/ethnicity. The interactions were examined with 2-way ANOVA. The latent class analysis revealed four comorbid burden classes, with Class 1 being the most healthy and Class 4 being the least healthy. African American (AA) and Hispanic women were more likely to be in Class 4 than non-Hispanic white (NHW) women (18.6%, 14.8%, and 8.3%, respectively). The mean PCS was 39.3 and differed by comorbidity burden and race/ethnicity (Pinteraction < 0.001). There were no racial/ethnic differences in Classes 1 and 2, while NHW women reported significantly lower PCS scores than AA women in Classes 3 and 4. The mean MCS was 51.4 and differed by comorbidity burden and race/ethnicity (Pinteraction < 0.001). There was no racial/ethnic difference in Class 3; however, AA women reported lower MCS scores than Asian/Pacific Islander women in Class 1, and AA and Hispanic women reported lower MCS scores than NHW women in Classes 2 and 4. Comorbidity burden negatively affected HRQOL but differentially for racial/ethnic groups. As the comorbidity burden increases, NHW women are more concerned with physical HRQOL, while AA and Hispanic women are more concerned with mental HRQOL.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.