Social Networks & Breast Cancer Prognosis in the Chinese and US Evaluation Study

社交网络

• 批准号: 8547798
• 负责人: CANDYCE H KROENKE
• 金额: $ 7.15万
• 依托单位: KAISER FOUNDATION RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-19 至 2015-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8547798
• 关键词: Address; Affect; Aging; Behavior; Behavioral; Body Weight; Breast Cancer Treatment; Cancer Burden; Cancer Prognosis; Cancer Survivor; Cardiovascular system; Caring; Cessation of life; Characteristics; China; Chinese People; Cohort Studies; Communities; Community Participation; Cox Models; Data; Data Set; Demographic Factors; Diagnosis; Diet; Eating; Emotional; Ethnic Origin; Evaluation; Evaluation Studies; Family; Family Relationship; First Degree Relative; Frequencies; Friends; Generations; Goals; Grant; Health; Health Care Costs; Heterogeneity; Incidence; Individual; Internet; Intervention; Knowledge; Life; Life Style; Linear Regressions; Literature; Logistic Regressions; Malignant Neoplasms; Meta-Analysis; Modification; Nurses' Health Study; Outcome; Participant; Persons; Physical activity; Population; Population Characteristics; Population Growth; Postmenopause; Prognostic Factor; Race; Randomized; Recruitment Activity; Religion and Spirituality; Research; Risk Factors; Severities; Severity of illness; Site; Smoking; Social Impacts; Social Network; Social support; Socioeconomic Status; Spouses; Staging; Survivors; Testing; Variant; Weight; Woman; Women' s Group; Women' s Health; Women' s Role; Work; adverse outcome; behavior influence; breast cancer diagnosis; cancer epidemiology; caregiving; cohort; cost; improved; lifestyle factors; malignant breast neoplasm; member; mortality; older women; outcome forecast; prospective; public health relevance; social; socioeconomics; tumor; tumor progression

DESCRIPTION (provided by applicant): Each year, more than 200,000 women are diagnosed with, and nearly 40,000 die from their breast cancer (BC) but variations in treatment and tumor characteristics explain only a fraction of breast cancer deaths. It is important to determine those factors that may help prolong survival given the aging of the population and the greater incidence of breast cancer in older women. Social networks are defined as the web of social relationships that surround an individual. Previous literature demonstrates that women with larger social networks have longer survival after a BC diagnosis, but the mechanisms through which social networks influence prognosis and in what populations are unknown. The aims of this grant are to examine associations between social network size, network members (presence of a spouse/partner, number of first-degree relatives, community participation, religious participation), and 1) major behavioral risk factors for survival including physical activity, diet, smoking, and body weight, as well as 2) breast cancer-specific mortality and all-cause mortality. We will consider the modifying influence of relationship quality, (i.e., levels of social support and social burden) on BC outcomes. Associations will also be examined in different populations of women defined by socioeconomic status, race/ethnicity, cancer severity, and extensiveness of treatment. Aims will be addressed in a pooled analysis of 10,239 breast cancer survivors in the Chinese and US Evaluation (CAUSE) Cohort which includes women from the Life After Cancer Epidemiology (LACE), the Women's Healthy Eating and Living (WHEL) and the Shanghai Breast Cancer Cohort (SBCC) studies. Multiple linear and logistic regression will be used to evaluate associations with behavioral factors, and Cox models will be used to evaluate associations with mortality, after evaluating heterogeneity. Associations will be examined by sociodemographic factors, disease severity and treatment, and levels of social support and burden, testing for effect modification. The proposed study is the first to examine associations with lifestyle factors and weight. It is the first pooled study of social networks and breast cancer outcomes, the largest of its kind, and represents a new generation of studies to examine in a more nuanced way how and in what populations social networks influence BC outcomes, including the possible costs and burdens, and not just benefits of social relationships. We expect that influences on behavioral factors will in part explain associations with mortality. I we demonstrate these findings, family interventions previously employed to improve lifestyle factors in persons with cardiovascular conditions might inform possible new strategies to improve health and survival in women with BC. Previous social interventions in BC survivors have largely focused on social-emotional supports, but these have failed to improve survival. It is hoped that addressing gaps in the literature will help point to potential avenues through which relationships with network members might be augmented to promote survival, or managed to mitigate costs of social relationships.

描述（由申请人提供）：每年被诊断出20万多名女性，并因其乳腺癌（BC）而死亡，但治疗和肿瘤特征的差异仅解释了一小部分乳腺癌死亡。确定这些很重要 鉴于人群的衰老和老年妇女的乳腺癌发生率更大，可能有助于延长生存的因素。社交网络被定义为围绕个人的社会关系网络。以前的文献表明，具有较大社交网络的妇女在诊断后具有更长的生存，但是社交网络影响预后和人口未知的机制。这笔赠款的目的是检查社交网络规模，网络成员（存在配偶/伴侣的存在，一级亲戚的数量，社区参与，宗教参与）之间的关联，以及1）生存的主要行为风险因素，包括身体活动，饮食，吸烟和体重，以及2）乳腺癌的死亡率和所有可能的死亡率。我们将考虑关系质量的修改影响（即 社会支持和社会负担）对卑诗省的成果。还将在由社会经济地位，种族/种族，癌症严重程度和治疗范围的不同妇女人群中进行研究。目的将在对中国和美国评估（原因）队列中的10,239个乳腺癌幸存者（包括癌症流行病学后的妇女（LACE），妇女健康饮食与生活（鲸鱼）和上海乳腺癌队列（SBCC）研究中的妇女中进行的汇总分析。多个线性和逻辑回归将用于评估与行为因素的关联，在评估异质性后，COX模型将用于评估与死亡率的关联。社会人口统计学因素，疾病的严重程度和治疗以及社会支持和负担的水平，测试效果修改的水平，将检查关联。拟议的研究是第一个研究与生活方式因素和体重的关联的研究。这是社交网络的首次汇总研究， 乳腺癌的结果是同类最大的结果，代表了新一代的研究，以更细微的方式检查社交网络如何以及在哪些人群中影响卑诗省的成果，包括可能的成本和负担，而不仅仅是社会关系的好处。我们期望对行为因素的影响将部分解释与死亡率的关联。我证明了这些发现，以前采取的家庭干预措施以改善心血管疾病的人的生活方式因素可能会为改善卑诗省女性的健康和生存的新策略提供信息。以前在卑诗省幸存者中的社会干预主要集中在社会情感支持上，但这些措施未能改善生存。希望解决文献中的差距将有助于指出潜在的途径，通过这些途径，与网络成员的关系可能会增加以促进生存，或者设法减轻社会关系的成本。