Complex Systems Approaches to Diet:A Systematic Review

Brent A Langellier, Usama Bilal, Felipe Montes, Jose D Meisel, Letícia de Oliveira Cardoso, Ross A Hammond

Resultado de la investigación: Contribución a una revistaArtículo de revisión

Resumen

CONTEXT: Complex systems approaches can help to elucidate mechanisms that shape population-level patterns in diet and inform policy approaches. This study reports results of a structured review of key design elements and methods used by existing complex systems models of diet.

EVIDENCE ACQUISITION: The authors conducted systematic searches of the PubMed, Web of Science, and LILACS databases between May and September 2018 to identify peer-reviewed manuscripts that used agent-based models or system dynamics models to explore diet. Searches occurred between November 2017 and May 2018. The authors extracted relevant data regarding each study's diet and nutrition outcomes; use of data for parameterization, calibration, and validation; results; and generated insights. The literature search adhered to PRISMA guidelines.

EVIDENCE SYNTHESIS: Twenty-two agent-based model studies and five system dynamics model studies met the inclusion criteria. Mechanistic studies explored neighborhood- (e.g., residential segregation), interpersonal- (e.g., social influence) and individual-level (e.g., heuristics that guide food purchasing decisions) mechanisms that influence diet. Policy-oriented studies examined policies related to food pricing, the food environment, advertising, nutrition labels, and social norms. Most studies used empirical data to inform values of key parameters; studies varied in their approaches to calibration and validation.

CONCLUSIONS: Opportunities remain to advance the state of the science of complex systems approaches to diet and nutrition. These include using models to better understand mechanisms driving population-level diet, increasing use of models for policy decision support, and leveraging the wide availability of epidemiologic and policy evaluation data to improve model validation.

Idioma originalInglés
Páginas (desde-hasta)273-281
Número de páginas9
PublicaciónAmerican Journal of Preventive Medicine
Volumen57
N.º2
DOI
EstadoPublicada - 1 ago 2019

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    Langellier, B. A., Bilal, U., Montes, F., Meisel, J. D., Cardoso, L. D. O., & Hammond, R. A. (2019). Complex Systems Approaches to Diet:A Systematic Review. American Journal of Preventive Medicine, 57(2), 273-281. https://doi.org/10.1016/j.amepre.2019.03.017