Health anxiety in women with early-stage breast cancer: What is the relationship to social support?

Author(s):  
Shannon L. Jones ◽  
Heather D. Hadjistavropoulos ◽  
Simon B. Sherry
2002 ◽  
Vol 25 (6) ◽  
pp. 459-470 ◽  
Author(s):  
Nelda Samarel ◽  
Lorraine Tulman ◽  
Jacqueline Fawcett

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 1010-1010
Author(s):  
Tarah Jean Ballinger ◽  
Guanglong Jiang ◽  
Fei Shen ◽  
Kathy Miller ◽  
Bryan P. Schneider

1010 Background: Both Black race and obesity are associated with worse survival in early stage breast cancer. Obesity disproportionately affects Black women; however, the degree this contributes to racial disparities in breast cancer remains unclear. Prior work evaluated heterogeneous populations or used self- reported race, rather than genetic ancestry. African ancestry is associated with higher BMI and worse survival in breast cancer; however, the intersection between genetic ancestry and obesity on survival outcomes remains unknown. Methods: We analyzed data from the adjuvant trial E5103. Patients with high risk, HER2 negative breast cancer received doxorubicin/cyclophosphamide x 4, followed by weekly paclitaxel x 12, with or without bevacizumab. Genetic ancestry was determined on the 2,854 patients with available germline DNA, BMI, and outcome data using principal components from a genome-wide array. The primary objective assessed impact of BMI on DFS and OS by ancestry. Multivariate Cox proportional hazard models evaluated correlation between continuous or binary BMI and survival in African (AA) and European (EA) Americans. Results: 13.4% of patients were genetically classified as AA and 86.6% as EA. Higher continuous BMI was significantly associated with worse DFS and OS only in AAs (DFS: HR = 1.25 95% CI 1.07-1.46, p = 0.004; OS: HR = 1.38 95% CI 1.10-1.73, p = 0.005); not in EAs (DFS HR = 0.97 95% CI 0.90-1.05, p = 0.50; OS HR = 1.03 95% CI 0.93-1.14, p = 0.52). By disease subtype, BMI was associated with worse outcomes only in AAs with ER+, and not TNBC. By categorical BMI, WHO class III obesity (³ 40) significantly associated with worse DFS and OS only in AAs (DFS HR = 1.98, p = 0.010; OS HR = 2.07, p = 0.064), not in EAs (DFS HR = 0.97, p = 0.86; OS HR = 1.28, p = 0.30). Proportion of African ancestry (proAA) was associated with higher BMI and worse outcomes in the total population; however, within AAs there was no significant interaction between proAA and BMI on DFS (HR = 0.36, p = 0.06) or OS (HR = 0.38, p = 0.24). In AAs, BMI remained associated with DFS (HR = 2.78, p = 0.019), suggesting higher BMI is associated with worse DFS regardless of proAA. Coefficients for the interaction term indicate that as proAA increases the impact of BMI on outcome is lessened. Conclusions: Higher BMI is significantly associated with worse breast cancer outcomes in women of African ancestry in E5103, but not in those of European ancestry. Categorically, this association was significant only for severe obesity, indicating the relationship may depend on the degree of obesity. As proAA increased in AAs, the impact of BMI on outcome was lessened, suggesting other host factors may contribute more to obesity’s influence on outcome than genetics. Determination of the optimal populations for weight loss interventions will advance precision medicine efforts to impact racial disparities and outcomes in early stage breast cancer.


2013 ◽  
Vol 32 (8) ◽  
pp. 886-895 ◽  
Author(s):  
Tess Thompson ◽  
Thomas L. Rodebaugh ◽  
Maria Pérez ◽  
Mario Schootman ◽  
Donna B. Jeffe

2000 ◽  
Vol 18 (5) ◽  
pp. 1084-1084 ◽  
Author(s):  
Bonnie L. Green ◽  
Janice L. Krupnick ◽  
Julia H. Rowland ◽  
Steven A. Epstein ◽  
Patricia Stockton ◽  
...  

PURPOSE: To identify predictors of psychiatric problems in women with early-stage breast cancer. PATIENTS AND METHODS: One hundred sixty women with early-stage breast cancer were recruited from three treatment centers. They filled out self-report questionnaires, including a medical history and demographic survey, the Trauma History Questionnaire, Life Event Questionnaire, Brief Symptom Inventory, Beck Depression Inventory, and Duke-UNC Functional Social Support Questionnaire, and were evaluated using the Structured Clinical Interview for DSM-III-R. RESULTS: Hierarchical regression analyses indicated that four of five variable sets made a significant incremental contribution to outcome prediction, with 35% to 37% of the variance explained. Outcomes were predicted by demographic variables, trauma history variables, precancer psychiatric diagnosis, recent life events, and perceived social support. Cancer treatment variables did not predict outcome. CONCLUSION: The findings highlight the important roles of trauma history and recent life events in adjustment to cancer and have implications for screening and treatment.


2009 ◽  
Vol 197 (6) ◽  
pp. 740-746 ◽  
Author(s):  
Peter J. Lovrics ◽  
Sylvie D. Cornacchi ◽  
Forough Farrokhyar ◽  
Anna Garnett ◽  
Vicky Chen ◽  
...  

2001 ◽  
Vol 20 (1) ◽  
pp. 41-46 ◽  
Author(s):  
Susan M. Alferi ◽  
Charles S. Carver ◽  
Michael H. Antoni ◽  
Sharlene Weiss ◽  
Ron E. Durán

2015 ◽  
Vol 25 (4) ◽  
pp. 441-446 ◽  
Author(s):  
Aminah Jatoi ◽  
Hyman Muss ◽  
Jake B. Allred ◽  
Harvey J. Cohen ◽  
Karla Ballman ◽  
...  

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