Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 1987 Jul-Aug;49(4):341-54.
doi: 10.1097/00006842-198707000-00003.

Social networks and coronary artery disease: a comparison of the structure and function of social relations as predictors of disease

Social networks and coronary artery disease: a comparison of the structure and function of social relations as predictors of disease

T E Seeman et al. Psychosom Med. 1987 Jul-Aug.

Abstract

This study provides the first direct comparison of the relative importance of structural versus functional aspects of social network ties as they relate to susceptibility to coronary artery disease. Data from 119 men and 40 women undergoing coronary angiography provide an opportunity to compare these associations in relation to a direct and continuous measure of atherosclerosis while controlling for age, sex, income, hypertension, serum cholesterol, smoking, angina, diabetes, family history of heart disease, Type A behavior pattern, and hostility. Regression analyses indicate that network instrumental support and feelings of being loved are more important in predicting coronary atherosclerosis than is network size, independent of all covariables (relative extent of atherosclerosis, low/high support = 1.74 and 1.5, respectively). More "problem-oriented" emotional support did not show a similarly strong association (relative extent of atherosclerosis = 1.01). These findings suggest that certain functional aspects of social network ties are more strongly associated with host resistance to coronary atherosclerosis than are structural characteristics like network size.

PubMed Disclaimer

Publication types

LinkOut - more resources