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Egocentric Social Network Structure, Health, and Pro-Social Behaviors in a National Panel Study of Americans

Overview of attention for article published in PLOS ONE, May 2012
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Title
Egocentric Social Network Structure, Health, and Pro-Social Behaviors in a National Panel Study of Americans
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0036250
Pubmed ID
Authors

A. James O’Malley, Samuel Arbesman, Darby Miller Steiger, James H. Fowler, Nicholas A. Christakis

Abstract

Using a population-based, panel survey, we study how egocentric social networks change over time, and the relationship between egocentric network properties and health and pro-social behaviors. We find that the number of prosocial activities is strongly positively associated with having more friends, or an increase in degree, with approximately 0.04 more prosocial behaviors expected for every friend added. Moreover, having more friends is associated with an improvement in health, while being healthy and prosocial is associated with closer relationships. Specifically, a unit increase in health is associated with an expected 0.45 percentage-point increase in average closeness, while adding a prosocial activity is associated with a 0.46 percentage-point increase in the closeness of one's relationships. Furthermore, a tradeoff between degree and closeness of social contacts was observed. As the number of close social contacts increases by one, the estimated average closeness of each individual contact decreases by approximately three percentage-points. The increased awareness of the importance of spillover effects in health and health care makes the ascertainment of egocentric social networks a valuable complement to investigations of the relationship between socioeconomic factors and health.

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Geographical breakdown

Country Count As %
United States 8 4%
United Kingdom 2 1%
Italy 2 1%
Israel 1 <1%
Unknown 175 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 26%
Student > Master 28 15%
Researcher 24 13%
Student > Doctoral Student 14 7%
Student > Bachelor 11 6%
Other 37 20%
Unknown 26 14%
Readers by discipline Count As %
Social Sciences 40 21%
Psychology 33 18%
Computer Science 22 12%
Medicine and Dentistry 16 9%
Agricultural and Biological Sciences 9 5%
Other 32 17%
Unknown 36 19%