作者
Abdulrahman M El-Sayed, Lars Seemann, Peter Scarborough, Sandro Galea
发表日期
2013/7/15
期刊
American journal of epidemiology
卷号
178
期号
2
页码范围
287-295
出版商
Oxford University Press
简介
Recent research suggests that social networks may present an avenue for intervention against obesity. By using a simulation model in which artificial individuals were nested in a social network, we assessed whether interventions targeting highly networked individuals could help reduce population obesity. We compared the effects of targeting antiobesity interventions at the most connected individuals in a network with those targeting individuals at random. We tested 2 interventions, the first “preventing” obesity among 10% of the population at simulation outset and the second “treating” obesity among 10% of the obese population yearly, each in 2 separate simulations. One simulation featured a literature-based parameter for the network spread of obesity, and the other featured an artificially high parameter. Interventions that targeted highly networked individuals did not outperform at-random interventions in …
学术搜索中的文章
AM El-Sayed, L Seemann, P Scarborough, S Galea - American journal of epidemiology, 2013