Details:

Alternative Title:
Prev Chronic Dis
Publisher's site:
http://dx.doi.org/10.5888/pcd13.150414
Personal Author:
Hennessy, Erin ; Ornstein, Joseph T. ; Economos, Christina D. ; Herzog, Julia Bloom ; Lynskey, Vanessa ; ... More +
Hennessy, Erin ; Ornstein, Joseph T. ; Economos, Christina D. ; Herzog, Julia Bloom ; Lynskey, Vanessa ; Coffield, Edward ; Hammond, Ross A. Less -
Description:
Complex systems modeling can provide useful insights when designing and anticipating the impact of public health interventions. We developed an agent-based, or individual-based, computation model (ABM) to aid in evaluating and refining implementation of behavior change interventions designed to increase physical activity and healthy eating and reduce unnecessary weight gain among school-aged children. The potential benefits of applying an ABM approach include estimating outcomes despite data gaps, anticipating impact among different populations or scenarios, and exploring how to expand or modify an intervention. The practical challenges inherent in implementing such an approach include data resources, data availability, and the skills and knowledge of ABM among the public health obesity intervention community. The aim of this article was to provide a step-by-step guide on how to develop an ABM to evaluate multifaceted interventions on childhood obesity prevention in multiple settings. We used data from 2 obesity prevention initiatives and public-use resources. The details and goals of the interventions, overview of the model design process, and generalizability of this approach for future interventions is discussed.
Subject:
[+]
Animals
Body Mass Index
Child
Computer Simulation
Female
Humans
Male
Models, Theoretical
Pediatric Obesity
Tools And Techniques

Source:
Prev Chronic Dis. 13.
Pubmed ID:
26741998
Pubmed Central ID:
PMC4707946
Document Type:
Journal Article
Place as Subject:
United States
Collection(s):
Preventing Chronic Disease
Main Document Checksum:
[+]
urn:sha256:f4df561add652b4b0804e1d1aff47be62c02768a33ebadfa80968e78c88de1ba
File Type:

Supporting Files

• 	PCD-13-E04.nxml	bin
  	PCD-13-E04s01.gif	gif
  	PCD-13-E04s01.jpg	jpeg
  	PCD-13-E04s02.gif	gif
  	PCD-13-E04s02.jpg	jpeg

More +