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.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
1R01AG024448-01
Application #
6815985
Study Section
Special Emphasis Panel (ZRG1-HOP-E (03))
Program Officer
Stahl, Sidney M
Project Start
2004-09-30
Project End
2007-06-30
Budget Start
2004-09-30
Budget End
2005-06-30
Support Year
1
Fiscal Year
2004
Total Cost
$683,831
Indirect Cost
Name
Harvard University
Department
Administration
Type
Schools of Medicine
DUNS #
047006379
City
Boston
State
MA
Country
United States
Zip Code
02115
O'Malley, A James; Elwert, Felix; Rosenquist, J Niels et al. (2014) Estimating peer effects in longitudinal dyadic data using instrumental variables. Biometrics 70:506-15
O'Malley, A James; Arbesman, Samuel; Steiger, Darby Miller et al. (2012) Egocentric social network structure, health, and pro-social behaviors in a national panel study of Americans. PLoS One 7:e36250
Shakya, Holly B; Christakis, Nicholas A; Fowler, James H (2012) Parental influence on substance use in adolescent social networks. Arch Pediatr Adolesc Med 166:1132-9
Keating, Nancy L; O'Malley, A James; Murabito, Joanne M et al. (2011) Minimal social network effects evident in cancer screening behavior. Cancer 117:3045-52
O'Malley, A James; Christakis, Nicholas A (2011) Longitudinal analysis of large social networks: estimating the effect of health traits on changes in friendship ties. Stat Med 30:950-64
Rosenquist, J Niels; Murabito, Joanne; Fowler, James H et al. (2010) The spread of alcohol consumption behavior in a large social network. Ann Intern Med 152:426-33, W141
Cacioppo, John T; Fowler, James H; Christakis, Nicholas A (2009) Alone in the crowd: the structure and spread of loneliness in a large social network. J Pers Soc Psychol 97:977-91
Fowler, James H; Christakis, Nicholas A (2008) Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study. BMJ 337:a2338
Christakis, Nicholas A; Fowler, James H (2008) The collective dynamics of smoking in a large social network. N Engl J Med 358:2249-58
O'Malley, A James; Marsden, Peter V (2008) The Analysis of Social Networks. Health Serv Outcomes Res Methodol 8:222-269

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