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Sustainability
Volume 13
Issue 14
10.3390/su13148082
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Review

Data Integration for Diet Sustainability Analyses

by
Zach Conrad
1,2,*,
Alexandra Stern
3,
David C. Love
4,5,
Meredith Salesses
6,
Ashley Cyril
6,
Acree McDowell
6 and
Nicole Tichenor Blackstone
3
1
Department of Health Sciences, William & Mary, Williamsburg, VA 23185, USA
2
Global Research Institute, William & Mary, Williamsburg, VA 23185, USA
3
Division of Agriculture, Food, and Environment, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA
4
Department of Environmental Sciences and Engineering, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21202, USA
5
Center for a Livable Future, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21202, USA
6
College of Arts & Sciences, William & Mary, Williamsburg, VA 23185, USA
*
Author to whom correspondence should be addressed.
Sustainability 2021, 13(14), 8082; https://doi.org/10.3390/su13148082
Submission received: 14 June 2021 / Revised: 14 July 2021 / Accepted: 15 July 2021 / Published: 20 July 2021
(This article belongs to the Special Issue Sustainable Food Systems, Nutrition, and Health)
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Abstract

Diet sustainability analyses are stronger when they incorporate multiple food systems domains, disciplines, scales, and time/space dimensions into a common modeling framework. Few analyses do this well: there are large gaps in food systems data in many regions, accessing private and some public data can be difficult, and there are analytical challenges, such as creating linkages across datasets and using complex analytical methods. This article summarizes key data sources across multiple domains of food system sustainability (nutrition, economic, environment) and describes methods and tools for integrating them into a common analytic framework. Our focus is the United States because of the large number of publicly available and highly disaggregated datasets. Thematically, we focus on linkages that exist between environmental and economic datasets to nutrition, which can be used to estimate the cost and agricultural resource use of food waste, interrelationships between healthy eating and climate impacts, diets optimized for cost, nutrition, and environmental impacts, and others. The limitations of these approaches and data sources are described next. By enhancing data integration across these fields, researchers can be better equipped to promote policy for sustainable diets.
Keywords: sustainability; food system; integration; NHANES; environment; economic; climate change; diets; nutrition; natural resource use sustainability; food system; integration; NHANES; environment; economic; climate change; diets; nutrition; natural resource use

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MDPI and ACS Style

Conrad, Z.; Stern, A.; Love, D.C.; Salesses, M.; Cyril, A.; McDowell, A.; Blackstone, N.T. Data Integration for Diet Sustainability Analyses. Sustainability 2021, 13, 8082. https://doi.org/10.3390/su13148082

AMA Style

Conrad Z, Stern A, Love DC, Salesses M, Cyril A, McDowell A, Blackstone NT. Data Integration for Diet Sustainability Analyses. Sustainability. 2021; 13(14):8082. https://doi.org/10.3390/su13148082

Chicago/Turabian Style

Conrad, Zach, Alexandra Stern, David C. Love, Meredith Salesses, Ashley Cyril, Acree McDowell, and Nicole Tichenor Blackstone. 2021. "Data Integration for Diet Sustainability Analyses" Sustainability 13, no. 14: 8082. https://doi.org/10.3390/su13148082

APA Style

Conrad, Z., Stern, A., Love, D. C., Salesses, M., Cyril, A., McDowell, A., & Blackstone, N. T. (2021). Data Integration for Diet Sustainability Analyses. Sustainability, 13(14), 8082. https://doi.org/10.3390/su13148082

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