Scaling up the SNAP-ED Toolkit Interventions to Improve Fruit and Vegetable Consumption across Counties in Georgia: An Agent-Based Model

Donglan Zhang; Janani J. Thapa; Gang Li; Heejung Son; Zhuo Chen; Lan Mu; Yan Li; Junxiu Liu; Jose A. Pagan; Philippe J. Giabbanelli

doi:10.23919/ANNSIM52504.2021.9552136

Scaling up the SNAP-ED Toolkit Interventions to Improve Fruit and Vegetable Consumption across Counties in Georgia: An Agent-Based Model

Donglan Zhang, Janani J. Thapa, Gang Li, Heejung Son, Zhuo Chen, Lan Mu, Yan Li, Junxiu Liu, Jose A. Pagan, Philippe J. Giabbanelli

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The Supplemental Nutrition Assistance Program (SNAP)-Ed Toolkit includes a set of interventions to increase the fruit and vegetable (FV) consumption of SNAP-eligible households on a limited budget. It is unclear how the interventions affect dietary choices in local populations. This study combines detailed local data with an agent-based model (ABM) to assess the potential cost-effectiveness of scaling up the SNAP-Ed Toolkit interventions in 13 selected metro-Atlanta counties in Georgia. The ABM drew insights from prior research on healthy eating choices and was empirically validated. The model predicted the actual FV consumption levels (\mathrm{R}^{2}=0.951,\ \mathrm{P} < 0.001). If the interventions could successfully enhance community healthy eating norms by 10% and 20%, they would significantly increase FV consumption. The cost per year to bring one person to consume at least two servings of FV daily) was 23 (95% confidence interval [CI]: 18-29), and 10 (95% CI: 9-12) in each scenario.

Original language	English
Title of host publication	Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021
Editors	Cristina Ruiz Martin, Maria Julia Blas, Alonso Inostrosa Psijas
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781565553750
DOIs	https://doi.org/10.23919/ANNSIM52504.2021.9552136
Publication status	Published - 19 Jul 2021
Externally published	Yes
Event	2021 Annual Modeling and Simulation Conference, ANNSIM 2021 - Virtual, Fairfax, United States Duration: 19 Jul 2021 → 22 Jul 2021

Publication series

Name	Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021

Conference

Conference	2021 Annual Modeling and Simulation Conference, ANNSIM 2021
Country/Territory	United States
City	Virtual, Fairfax
Period	19/07/21 → 22/07/21

Keywords

agent-based model
cost analysis
health behaviors

ASJC Scopus subject areas

Health(social science)
Hardware and Architecture
Engineering (miscellaneous)
Safety, Risk, Reliability and Quality
Modelling and Simulation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.23919/ANNSIM52504.2021.9552136

Cite this

Zhang, D., Thapa, J. J., Li, G., Son, H., Chen, Z., Mu, L., Li, Y., Liu, J., Pagan, J. A., & Giabbanelli, P. J. (2021). Scaling up the SNAP-ED Toolkit Interventions to Improve Fruit and Vegetable Consumption across Counties in Georgia: An Agent-Based Model. In C. R. Martin, M. J. Blas, & A. I. Psijas (Eds.), Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021 (Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ANNSIM52504.2021.9552136

Zhang, Donglan ; Thapa, Janani J. ; Li, Gang et al. / Scaling up the SNAP-ED Toolkit Interventions to Improve Fruit and Vegetable Consumption across Counties in Georgia : An Agent-Based Model. Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021. editor / Cristina Ruiz Martin ; Maria Julia Blas ; Alonso Inostrosa Psijas. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021).

@inproceedings{cfc5c59fdcae4a7f94a9f74d910436cc,

title = "Scaling up the SNAP-ED Toolkit Interventions to Improve Fruit and Vegetable Consumption across Counties in Georgia: An Agent-Based Model",

abstract = "The Supplemental Nutrition Assistance Program (SNAP)-Ed Toolkit includes a set of interventions to increase the fruit and vegetable (FV) consumption of SNAP-eligible households on a limited budget. It is unclear how the interventions affect dietary choices in local populations. This study combines detailed local data with an agent-based model (ABM) to assess the potential cost-effectiveness of scaling up the SNAP-Ed Toolkit interventions in 13 selected metro-Atlanta counties in Georgia. The ABM drew insights from prior research on healthy eating choices and was empirically validated. The model predicted the actual FV consumption levels (\textbackslash{}mathrm\{R\}\textasciicircum{}\{2\}=0.951,\textbackslash{} \textbackslash{}mathrm\{P\} < 0.001). If the interventions could successfully enhance community healthy eating norms by 10\% and 20\%, they would significantly increase FV consumption. The cost per year to bring one person to consume at least two servings of FV daily) was 23 (95\% confidence interval [CI]: 18-29), and 10 (95\% CI: 9-12) in each scenario.",

keywords = "agent-based model, cost analysis, health behaviors",

author = "Donglan Zhang and Thapa, \{Janani J.\} and Gang Li and Heejung Son and Zhuo Chen and Lan Mu and Yan Li and Junxiu Liu and Pagan, \{Jose A.\} and Giabbanelli, \{Philippe J.\}",

note = "Publisher Copyright: {\textcopyright} 2021 SCS.; 2021 Annual Modeling and Simulation Conference, ANNSIM 2021 ; Conference date: 19-07-2021 Through 22-07-2021",

year = "2021",

month = jul,

day = "19",

doi = "10.23919/ANNSIM52504.2021.9552136",

language = "English",

series = "Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Martin, \{Cristina Ruiz\} and Blas, \{Maria Julia\} and Psijas, \{Alonso Inostrosa\}",

booktitle = "Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021",

address = "United States",

}

Zhang, D, Thapa, JJ, Li, G, Son, H, Chen, Z, Mu, L, Li, Y, Liu, J, Pagan, JA & Giabbanelli, PJ 2021, Scaling up the SNAP-ED Toolkit Interventions to Improve Fruit and Vegetable Consumption across Counties in Georgia: An Agent-Based Model. in CR Martin, MJ Blas & AI Psijas (eds), Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021. Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021, Institute of Electrical and Electronics Engineers Inc., 2021 Annual Modeling and Simulation Conference, ANNSIM 2021, Virtual, Fairfax, United States, 19/07/21. https://doi.org/10.23919/ANNSIM52504.2021.9552136

Scaling up the SNAP-ED Toolkit Interventions to Improve Fruit and Vegetable Consumption across Counties in Georgia: An Agent-Based Model. / Zhang, Donglan; Thapa, Janani J.; Li, Gang et al.
Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021. ed. / Cristina Ruiz Martin; Maria Julia Blas; Alonso Inostrosa Psijas. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Scaling up the SNAP-ED Toolkit Interventions to Improve Fruit and Vegetable Consumption across Counties in Georgia

T2 - 2021 Annual Modeling and Simulation Conference, ANNSIM 2021

AU - Zhang, Donglan

AU - Thapa, Janani J.

AU - Li, Gang

AU - Son, Heejung

AU - Chen, Zhuo

AU - Mu, Lan

AU - Li, Yan

AU - Liu, Junxiu

AU - Pagan, Jose A.

AU - Giabbanelli, Philippe J.

PY - 2021/7/19

Y1 - 2021/7/19

N2 - The Supplemental Nutrition Assistance Program (SNAP)-Ed Toolkit includes a set of interventions to increase the fruit and vegetable (FV) consumption of SNAP-eligible households on a limited budget. It is unclear how the interventions affect dietary choices in local populations. This study combines detailed local data with an agent-based model (ABM) to assess the potential cost-effectiveness of scaling up the SNAP-Ed Toolkit interventions in 13 selected metro-Atlanta counties in Georgia. The ABM drew insights from prior research on healthy eating choices and was empirically validated. The model predicted the actual FV consumption levels (\mathrm{R}^{2}=0.951,\ \mathrm{P} < 0.001). If the interventions could successfully enhance community healthy eating norms by 10% and 20%, they would significantly increase FV consumption. The cost per year to bring one person to consume at least two servings of FV daily) was 23 (95% confidence interval [CI]: 18-29), and 10 (95% CI: 9-12) in each scenario.

AB - The Supplemental Nutrition Assistance Program (SNAP)-Ed Toolkit includes a set of interventions to increase the fruit and vegetable (FV) consumption of SNAP-eligible households on a limited budget. It is unclear how the interventions affect dietary choices in local populations. This study combines detailed local data with an agent-based model (ABM) to assess the potential cost-effectiveness of scaling up the SNAP-Ed Toolkit interventions in 13 selected metro-Atlanta counties in Georgia. The ABM drew insights from prior research on healthy eating choices and was empirically validated. The model predicted the actual FV consumption levels (\mathrm{R}^{2}=0.951,\ \mathrm{P} < 0.001). If the interventions could successfully enhance community healthy eating norms by 10% and 20%, they would significantly increase FV consumption. The cost per year to bring one person to consume at least two servings of FV daily) was 23 (95% confidence interval [CI]: 18-29), and 10 (95% CI: 9-12) in each scenario.

KW - agent-based model

KW - cost analysis

KW - health behaviors

UR - https://www.scopus.com/pages/publications/85117389610

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DO - 10.23919/ANNSIM52504.2021.9552136

M3 - Conference contribution

AN - SCOPUS:85117389610

T3 - Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021

BT - Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021

A2 - Martin, Cristina Ruiz

A2 - Blas, Maria Julia

A2 - Psijas, Alonso Inostrosa

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 19 July 2021 through 22 July 2021

ER -

Zhang D, Thapa JJ, Li G, Son H, Chen Z, Mu L et al. Scaling up the SNAP-ED Toolkit Interventions to Improve Fruit and Vegetable Consumption across Counties in Georgia: An Agent-Based Model. In Martin CR, Blas MJ, Psijas AI, editors, Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021). doi: 10.23919/ANNSIM52504.2021.9552136

Scaling up the SNAP-ED Toolkit Interventions to Improve Fruit and Vegetable Consumption across Counties in Georgia: An Agent-Based Model

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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