Examining Predictive Models of HRQOL in a Population-Based, Multiethnic Sample of Women with Breast Carcinoma

• Published in: Quality of life research 2007-04, Vol.16 (3), p.413-428
• Main Authors: Ashing-Giwa, Kimlin T., Tejero, Judith S., Kim, Jinsook, Padilla, Geraldine V., Hellemann, Gerhard
• Format: Article
• Language: English
• Subjects: African Americans; African Americans - psychology; Asian Americans; Asian Americans - psychology; Breast cancer; Breast Neoplasms - ethnology; Breast Neoplasms - mortality; Breast Neoplasms - psychology; Breast Neoplasms - therapy; California; Carcinoma - ethnology; Carcinoma - mortality; Carcinoma - psychology; Carcinoma - therapy; Case-Control Studies; Clinical and Policy Applications; Comorbidity; Cross-Sectional Studies; Cultural differences; Ethnic groups; Ethnicity; European Continental Ancestry Group - psychology; Female; Health Services Accessibility; Hispanic Americans - psychology; Humans; Middle Aged; Modeling; Models, Econometric; Psychological stress; Quality of Life; Registries; Regression analysis; Sickness Impact Profile; Socioeconomic Factors; Studies; Surveys and Questionnaires; Survivors - psychology; Treatment Outcome; Wellbeing
• ISSN: 0962-9343; 1573-2649
• DOI: 10.1007/s11136-006-9138-4

Background: This study examined health related quality of life (HRQOL) and its predictors among African-, Asian-, Latina-, and European American breast cancer survivors (BCS) using a socio-ecologically and culturally contextual theoretical model of HRQOL. Methods: We employed a case—control, cross sectional design with a population-based sample from the California Cancer Registry. Descriptive, bivariate, and multivariate regression analyses were conducted. Results: The sample included 703 BCS: 135 (19%) African-, 206 (29%) Asian-, 183 (26%) Latina-, and 179 (26%) European Americans. Latinas reported the lowest HRQOL (p < 0.0001). The final regression model explained 70% of variance in HRQOL. Years since diagnosis, number of comorbidities, role limitation, emotional wellbeing, quality of doctor—patient relationship, social support, and life stress are significant HRQOL determinants. Exploratory regression analyses indicate ethnic differences in significant predictors for HRQOL. Conclusions: HRQOL among this multiethnic sample ranged from fair to good. Bivariate analysis suggests that ethnic differences in HRQOL exist. However, regression analyses demonstrated that socio-ecological factors in conjunction with medical characteristics are more salient to HRQOL outcomes, and that ethnic group membership may be a proxy for socio-ecological context. Furthermore, the influence of ethnicity, culture, and social-ecology are complex; research with large, population-based samples are necessary to disentangle the impact of contextual factors on HRQOL.