Social Network Study of Health Effects in Aging

老龄化对健康影响的社交网络研究

• 批准号: 7070640
• 负责人: NICHOLAS A CHRISTAKIS
• 金额: $ 68.87万
• 依托单位: HARVARD MEDICAL SCHOOL
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-30 至 2009-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7070640
• 关键词: aging; aspirin; behavioral /social science research tag; cardiovascular disorder epidemiology; cardiovascular disorder prevention; cardiovascular disorder risk; clinical research; community; dyadic interaction; friendships; functional ability; health behavior; human data; interpersonal relations; longitudinal human study; myocardial infarction; parents; siblings; smoking cessation; social behavior; social facilitation; social group; social support network; spouses; stroke; weight loss

The health of humans who are linked through a social tie may be inter-dependent. Illness, disability, health behaviors, health care use, or death in one person may be associated with similar outcomes in specific others to whom that person is connected. Such inter-individual health effects, operating through a diverse set of mechanisms, may obtain in social relations ranging from spouses to siblings, parents, friends, co-workers, or neighbors. We propose to examine the existence, size, and range of such effects in the context of cardiovascular disease, which is annually responsible for 40% of deaths in the U.S. and $350 billion in medical costs and lost productivity. To do so, we will use the landmark Framingham Heart Study supplemented by heretofore unused administrative data. We have four specific aims. First, we will develop a multi-purpose panel data set containing demographic, social, behavioral, clinical, morbidity, and mortality information about a cohort of 5,124 people and also their identified social relations, followed for 30 years. Each individual in our sample will have an average of more than five other individuals of diverse relationships in our sample to whom they are connected. Second, we will describe the attributes of each individual's social contacts and examine how such attributes affect the onset and outcome of cardiovascular disease; for example, we will examine whether having a more educated social network is salubrious. Third, we will, as our key aim, evaluate how health behaviors in a person embedded in a social network depend on prior health events in others in their social network. Our specific test case is whether a heart attack or stroke in one's social contacts is associated with subsequent weight loss, smoking cessation, or aspirin use. We will evaluate how these effects vary according to the nature of the relationship - that is, depending on whether the contact is a spouse, parent, sibling, friend, co-worker, or neighbor. And we will evaluate whether these effects vary depending on baseline social and clinical traits of the subject (e.g., whether the subject is obese, diabetic, uneducated, etc.) or the contact (e.g., whether the contact is young, etc.). Fourth, we will evaluate whether disability (e.g., due to a heart attack or stroke) in contacts is associated with subsequent disability in subjects. Our work has implications for the understanding of cardiovascular risk behaviors and outcomes, for the understanding of social networks, for the demography of aging, and for policy concerns as diverse as the role of neighborhoods in health to the optimal estimation of cost-efectiveness of medical care and behavioral interventions.

通过社会纽带相连的人类的健康可能是相互依赖的。一个人的疾病、残疾、健康行为、医疗保健使用或死亡可能与该人相关的特定其他人的类似结果相关。这种通过多种机制运作的个体间健康影响可能会在从配偶到兄弟姐妹、父母、朋友、同事或邻居的社会关系中产生。我们建议在心血管疾病的背景下研究此类影响的存在、规模和范围，美国每年有 40% 的死亡由心血管疾病造成，并造成 3500 亿美元的医疗费用和生产力损失。为此，我们将使用具有里程碑意义的弗雷明汉心脏研究，并辅以迄今为止未使用的管理数据。我们有四个具体目标。首先，我们将开发一个多用途面板数据集，其中包含 5,124 人队列的人口统计、社会、行为、临床、发病率和死亡率信息以及他们已确定的社会关系，并跟踪 30 年。我们样本中的每个人平均都会有超过五个与他们有联系的不同关系的其他人。其次，我们将描述每个人的社会交往的属性，并研究这些属性如何影响心血管疾病的发病和结果；例如，我们将检查是否 拥有一个受过更多教育的社交网络是有益的。第三，作为我们的主要目标，我们将评估嵌入社交网络中的人的健康行为如何取决于其社交网络中其他人先前的健康事件。我们的具体测试案例是，一个人的社交交往中心脏病发作或中风是否与随后的减肥、戒烟或阿司匹林使用有关。我们将评估这些影响如何根据关系的性质而变化，即取决于联系人是配偶、父母、兄弟姐妹、朋友、同事还是邻居。我们将评估这些影响是否因受试者的基线社会和临床特征（例如，受试者是否肥胖、糖尿病、未受过教育等）或接触者（例如，接触者是否年轻等）而变化。第四，我们将评估接触中的残疾（例如，由于心脏病发作或中风）是否与受试者随后的残疾有关。我们的工作对于理解心血管风险行为和结果、理解社交网络、老龄化人口统计学以及从社区在健康中的作用到医疗成本效益的最佳估计等各种政策问题都具有重要意义。护理和行为干预。

项目成果

Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study.

• DOI: 10.1136/bmj.a2338
• 发表时间: 2008-12-04
• 期刊: BMJ (Clinical research ed.)
• 作者: Fowler JH;Christakis NA
• 通讯作者: Christakis NA

The spread of alcohol consumption behavior in a large social network.

• DOI: 10.7326/0003-4819-152-7-201004060-00007
• 发表时间: 2010-04-06
• 期刊: Annals of internal medicine
• 影响因子: 39.2
• 作者: Rosenquist JN;Murabito J;Fowler JH;Christakis NA
• 通讯作者: Christakis NA

Longitudinal analysis of large social networks: estimating the effect of health traits on changes in friendship ties.

• DOI: 10.1002/sim.4190
• 发表时间: 2011-04-30
• 期刊: STATISTICS IN MEDICINE
• 影响因子: 2
• 作者: O'Malley, A. James;Christakis, Nicholas A.
• 通讯作者: Christakis, Nicholas A.

The Analysis of Social Networks.

• DOI: 10.1007/s10742-008-0041-z
• 发表时间: 2008-12-01
• 期刊: HEALTH SERVICES AND OUTCOMES RESEARCH METHODOLOGY
• 影响因子: 1.5
• 作者: O'Malley, A James;Marsden, Peter V
• 通讯作者: Marsden, Peter V

Minimal social network effects evident in cancer screening behavior.

• DOI: 10.1002/cncr.25849
• 发表时间: 2011-07-01
• 期刊: CANCER
• 影响因子: 6.2
• 作者: Keating, Nancy L.;O'Malley, A. James;Murabito, Joanne M.;Smith, Kirsten P.;Christakis, Nicholas A.
• 通讯作者: Christakis, Nicholas A.