The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Social networks, social support, and burden in relationships, and mortality after breast cancer diagnosis in the Life After Breast Cancer Epidemiology (LACE) Study
Open accessAbstract
Larger social networks have been associated with lower breast cancer mortality. The authors evaluated how levels of social support and burden influenced this association. We included 2,264 women from the Life After Cancer Epidemiology study who were diagnosed with early-stage, invasive breast cancer between 1997 and 2000, and provided data on social networks (spouse or intimate partner, religious/social ties, volunteering, time socializing with friends, and number of first-degree female relatives), social support, and caregiving. 401 died during a median follow-up of 10.8 years follow-up with 215 from breast cancer. We used delayed entry Cox proportional hazards regression to evaluate associations. In multivariate-adjusted analyses, social isolation was unrelated to recurrence or breast cancer-specific mortality. However, socially isolated women had higher all-cause mortality (HR = 1.34, 95 % CI: 1.03-1.73) and mortality from other causes (HR = 1.79, 95 % CI: 1.19-2.68). Levels of social support and burden modified associations. Among those with low, but not high, levels of social support from friends and family, lack of religious/social participation (HR = 1.58, 95 % CI: 1.07-2.36, p = 0.02, p interaction = 0.01) and lack of volunteering (HR = 1.78, 95 % CI: 1.15-2.77, p = 0.01, p interaction = 0.01) predicted higher all-cause mortality. In cross-classification analyses, only women with both small networks and low levels of support (HR = 1.61, 95 % CI: 1.10-2.38) had a significantly higher risk of mortality than women with large networks and high levels of support; women with small networks and high levels of support had no higher risk of mortality (HR = 1.13, 95 % CI: 0.74-1.72). Social networks were also more important for caregivers versus noncaregivers. Larger social networks predicted better prognosis after breast cancer, but associations depended on the quality and burden of family relationships.
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“We measured only simple forms of the complex phenomenon of social networks and interaction, although similar results have been reported in studies using more advanced network analysis.27”
From Contribution of risk factors to excess mortality in isolated and lonely individuals: an analysis of data from the UK Biobank cohort study (2017) · cites this paper as [27]
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“although similar results have been reported in studies using more advanced network analysis.27”
From Contribution of risk factors to excess mortality in isolated and lonely individuals: an analysis of data from the UK Biobank cohort study (2017) · cites this paper as [27]
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Coughlin, S. S. (2019) · Breast Cancer Research and Treatment · doi:10.1007/s10549-019-05340-7 · Cited by 570
Wang, F., Gao, Y., Han, Z., Yu, Y., Long, Z., Jiang, X., Wu, Y., Pei, B., Cao, Y., Ye, J., et al. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01617-6 · Cited by 507
Elovainio, M., Hakulinen, C., Pulkki-Råback, L., Virtanen, M., Josefsson, K., Jokela, M., Vahtera, J., & Kivimäki, M. (2017) · The Lancet Public Health · doi:10.1016/s2468-2667(17)30075-0 · Cited by 411
Zhang, H., Zhao, Q., Cao, P., & Ren, G. (2017) · Medical Science Monitor · doi:10.12659/msm.907730 · Cited by 251
Social networks, social support mechanisms, and quality of life after breast cancer diagnosis
Kroenke, C. H., Kwan, M. L., Neugut, A. I., Ergas, I. J., Wright, J. D., Caan, B. J., Hershman, D., & Kushi, L. H. (2013) · Breast Cancer Research and Treatment · doi:10.1007/s10549-013-2477-2 · Cited by 233
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Metadata
- Authors
- Kroenke, C. H., Quesenberry, C., Kwan, M. L., Sweeney, C., Castillo, A., & Caan, B. J.
- Affiliations
- Kaiser Permanente (US)
- University of Utah (US)
- Corresponding author
- Kroenke, Candyce H.
- Venue
- Breast Cancer Research and Treatment
- Published
- 2012-11-10
- Volume
- 137
- Issue
- 1
- Pages
- 261-271
- ISSN
- 0167-6806 (ISSN-L)
- 1573-7217
- PMC
- PMC4019377
- OpenAlex
- W2026142354
- Cited by
- 162
- References
- 57
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 11 · 2023: 17 · 2022: 17 · 2021: 16 · 2020: 15 · 2019: 9 · 2018: 14 · 2017: 17 · 2016: 9 · 2015: 8 · 2014: 3 · 2013: 4
- FWCI
- 2.37
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Breast Cancer Research and Treatment (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (R01CA129059)
- Topics
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Keywords
- breast cancer, social networks, social support, social burden, social isolation, all-cause mortality, breast cancer-specific mortality, caregiving, religious participation, volunteering, family relationships, prognosis
- MeSH terms
- Breast Neoplasms, Family Characteristics, Female, Humans, Quality of Life, Social Support, Proportional Hazards Models, Caregivers, Cost of Illness, Kaplan-Meier Estimate, Social Networking
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