Collaboration in Complex Systems: Multilevel Network Analysis for Community-Based Obesity Prevention Interventions.

ABSTRACT: Community-based systems interventions represent a promising, but complex approach to the prevention of childhood obesity. Existing studies suggest that the implementation of multiple actions by engaged community leaders (steering committees) is of critical importance to influence a complex system. This study explores two key components of systems interventions: (1) steering committees; and (2) causal loop diagrams (CLDs), used to map the complex community-level drivers of obesity. The interactions between two components create an entangled, complex process difficult to measure, and methods to analyse the dependencies between these two components in community-based systems interventions are limited. This study employs multilevel statistical models from social network analysis to explore the

SUBMITTER: McGlashan J 

PROVIDER: S-EPMC6715639 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature