TY - JOUR
T1 - Integrating Complex Systems Methods to Advance Obesity Prevention Intervention Research
AU - Hennessy, Erin
AU - Economos, Christina D.
AU - Hammond, Ross A.
AU - Sweeney, Linda Booth
AU - Brukilacchio, Lisa
AU - Chomitz, Virginia R.
AU - Collins, Jessica
AU - Nahar, Elizabeth
AU - Rioles, Nicole
AU - Allender, Steven
AU - Swinburn, Boyd
AU - Gillman, Matthew W.
AU - Hovmand, Peter
AU - Kasman, Matt
AU - Nichols, Melanie
N1 - Publisher Copyright:
© 2020 Society for Public Health Education.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - Background. Whole-of-community interventions have been recommended and show promise for preventing obesity; however, research to understand the mechanisms underlying their success or failure is lacking. Complex systems approaches may be useful to address this gap. Purpose. To describe the evolution and utilization of qualitative and quantitative complex systems methods to understand and model whole-of-community obesity prevention interventions. Approach. We illustrate the retrospective qualitative development of a systems map representing community change dynamic within the Shape Up Somerville (SUS) intervention. We then describe how this systems map, and complementary work of other successful obesity prevention interventions (Romp & Chomp intervention), informed the COMPACT (childhood obesity modeling for prevention and community transformation) study. COMPACT’s design aligns complex systems science principles and community-engaged research to better understand stakeholders’ leadership roles in whole-of-community interventions. We provide an overview of the complex systems tools used in COMPACT: agent-based modeling, group model building, and social network analysis and describe how whole-of-community intervention stakeholders (“agents”) use their social networks to diffuse knowledge about and engagement with childhood obesity prevention efforts, laying the groundwork for community readiness for sustainable change. Conclusion. Complex systems approaches appear feasible and useful to study whole-of-community obesity prevention interventions and provide novel insights that expand on those gained from traditional approaches. Use of multiple methods, both qualitative and quantitative, from the complex systems toolkit working together can be important to success.
AB - Background. Whole-of-community interventions have been recommended and show promise for preventing obesity; however, research to understand the mechanisms underlying their success or failure is lacking. Complex systems approaches may be useful to address this gap. Purpose. To describe the evolution and utilization of qualitative and quantitative complex systems methods to understand and model whole-of-community obesity prevention interventions. Approach. We illustrate the retrospective qualitative development of a systems map representing community change dynamic within the Shape Up Somerville (SUS) intervention. We then describe how this systems map, and complementary work of other successful obesity prevention interventions (Romp & Chomp intervention), informed the COMPACT (childhood obesity modeling for prevention and community transformation) study. COMPACT’s design aligns complex systems science principles and community-engaged research to better understand stakeholders’ leadership roles in whole-of-community interventions. We provide an overview of the complex systems tools used in COMPACT: agent-based modeling, group model building, and social network analysis and describe how whole-of-community intervention stakeholders (“agents”) use their social networks to diffuse knowledge about and engagement with childhood obesity prevention efforts, laying the groundwork for community readiness for sustainable change. Conclusion. Complex systems approaches appear feasible and useful to study whole-of-community obesity prevention interventions and provide novel insights that expand on those gained from traditional approaches. Use of multiple methods, both qualitative and quantitative, from the complex systems toolkit working together can be important to success.
KW - agent-based modeling
KW - group model building
KW - implementation science
KW - obesity
KW - social network analysis
KW - systems mapping
KW - systems science
KW - whole-of-community interventions
UR - https://www.scopus.com/pages/publications/85081581135
U2 - 10.1177/1090198119898649
DO - 10.1177/1090198119898649
M3 - Article
C2 - 32090653
AN - SCOPUS:85081581135
SN - 1090-1981
VL - 47
SP - 213
EP - 223
JO - Health Education and Behavior
JF - Health Education and Behavior
IS - 2
ER -