The relationship between joining a US free trade agreement and processed food sales, 2002-2016: a comparative interrupted time-series analysis.


Journal

Public health nutrition
ISSN: 1475-2727
Titre abrégé: Public Health Nutr
Pays: England
ID NLM: 9808463

Informations de publication

Date de publication:
06 2020
Historique:
medline: 24 5 2023
pubmed: 20 3 2020
entrez: 20 3 2020
Statut: ppublish

Résumé

To examine changes in sales of highly processed foods, including infant formulas, in countries joining free trade agreements (FTAs) with the US. Annual country-level data for food and beverage sales come from Euromonitor International. Analyses are conducted in a comparative interrupted time-series (CITS) framework using multivariate random-effects linear models, adjusted for key confounders: gross domestic product (GDP) per capita, percent of the population living in urban areas and female labor force participation rate. Memberships in other FTAs and investment treaties are also explored as possible confounders. Changes are assessed between 2002 and 2016. Ten countries joining US FTAs are compared with eleven countries without US FTAs in force; countries are matched on national income level, world region and World Trade Organization membership. After countries join a US FTA, sales are estimated to increase by: 0·89 (95 % CI 0·16, 1·6; P = 0·016) kg per capita per annum for ultra-processed products, 0·81 (95 % CI 0·47, 1·1; P < 0·001) kg per capita per annum for processed culinary ingredients and 0·17 (95 % CI 0·052, 0·29; P = 0·005) kg per capita under age 5 per annum for baby food. No significant change is estimated for minimally processed foods. In statistical models, large unexplained variations in country-specific trends suggest additional unmeasured country-level factors also impact sales trends following entry into US FTAs. These findings strongly support the conclusion that joining US FTAs can contribute to detrimental changes in national dietary consumption that increase population risk of non-communicable diseases.

Identifiants

pubmed: 32188524
doi: 10.1017/S1368980019003999
pii: S1368980019003999
pmc: PMC10200605
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1609-1617

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Auteurs

Krycia Cowling (K)

Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Baltimore, MD21205, USA.

Elizabeth A Stuart (EA)

Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Hampton House 839, Baltimore, MD21205, USA.

Roni A Neff (RA)

Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Room W7010, 615 N. Wolfe Street, Baltimore, MD21205, USA.

Jon Vernick (J)

Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Hampton House 594, Baltimore, MD21205, USA.

Daniel Magraw (D)

Paul H. Nitze School of Advanced International Studies, Johns Hopkins University, Room 417, 1619 Massachusetts Avenue NW, Washington, DC20036, USA.

Keshia Pollack Porter (K)

Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, 624 N. Broadway, Hampton House 380A, Baltimore, MD21205, USA.

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Classifications MeSH