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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Postdiagnosis Social Networks and Breast Cancer Mortality in the After Breast Cancer Pooling Project
Cancer, v 123(7), pp 1228-1237
01 Apr 2017
PMID: 27943274
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
BACKGROUND: Large social networks have been associated with better overall survival, though not consistently with breast cancer (BC)-specific outcomes. This study evaluated associations of postdiagnosis social networks and BC outcomes in a large cohort. METHODS: Women from the After Breast Cancer Pooling Project (n=9267) provided data on social networks within approximately 2 years of their diagnosis. A social network index was derived from information about the presence of a spouse/partner, religious ties, community ties, friendship ties, and numbers of living first-degree relatives. Cox models were used to evaluate associations, and a meta-analysis was used to determine whether effect estimates differed by cohort. Stratification by demographic, social, tumor, and treatment factors was performed. RESULTS: There were 1448 recurrences and 1521 deaths (990 due to BC). Associations were similar in 3 of 4 cohorts. After covariate adjustments, socially isolated women (small networks) had higher risks of recurrence (hazard ratio [HR], 1.43; 95% confidence interval [CI], 1.15-1.77), BC-specific mortality (HR, 1.64; 95% CI, 1.33-2.03), and total mortality (HR, 1.69; 95% CI, 1.43-1.99) than socially integrated women; associations were stronger in those with stage I/II cancer. In the fourth cohort, there were no significant associations with BC-specific outcomes. A lack of a spouse/partner (P=.02) and community ties (P=.04) predicted higher BC-specific mortality in older white women but not in other women. However, a lack of relatives (P5.02) and friendship ties (P=.01) predicted higher BC-specific mortality in nonwhite women only. CONCLUSIONS: In a large pooled cohort, larger social networks were associated with better BC-specific and overall survival. Clinicians should assess social network information as a marker of prognosis because critical supports may differ with sociodemographic factors. (C) 2016 American Cancer Society.
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Details
- Title
- Postdiagnosis Social Networks and Breast Cancer Mortality in the After Breast Cancer Pooling Project
- Creators
- Candyce H. Kroenke - Kaiser PermanenteYvonne L. Michael - Drexel UniversityElizabeth M. Poole - Brigham and Women's HospitalMarilyn L. Kwan - Kaiser PermanenteSarah Nechuta - Vanderbilt UniversityEric Leas - University of California, San DiegoBette J. Caan - Kaiser PermanenteJohn Pierce - University of California, San DiegoXiao-Ou Shu - Vanderbilt UniversityYing Zheng - Shanghai Municipal Center For Disease Control PreventionWendy Y. Chen - Dana-Farber Cancer Institute
- Publication Details
- Cancer, v 123(7), pp 1228-1237
- Publisher
- Wiley
- Number of pages
- 10
- Grant note
- R03CA171771 / NATIONAL CANCER INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI) R03CA171771; K07CA187403 / National Cancer Institute of the National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000397760100021
- Scopus ID
- 2-s2.0-85007610586
- Other Identifier
- 991019167597604721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Oncology