Front-of-Package Labels on Unhealthy Packaged Foods in India: Evidence from a Randomized Field Experiment

Author:

Singh S. K.ORCID,Taillie Lindsey Smith,Gupta AshishORCID,Bercholz Maxime,Popkin BarryORCID,Murukutla Nandita

Abstract

Policies to require front-of-package labels (FOPLs) on packaged foods may help Indian consumers to better identify foods high in nutrients of concern, including sugar, saturated fat, and sodium, and discourage their consumption, which are outcomes that are critical for preventing rises in diet-related non-communicable disease. The objective was to test whether FOPLs helped Indian consumers identify “high-in” packaged foods and reduce intentions to purchase them. We conducted an in-person randomized experiment (n = 2869 adults between ages 18 and 60 years old) in six states of India in 2022. Participants were randomized to one of five FOPLs: a control label (barcode), warning label (octagon with “High in [nutrient]”), Health Star Rating (HSR), Guideline Daily Amount (GDA), or traffic light label. Participants then viewed a series of packaged foods high in sugar, saturated fat, or sodium with the assigned FOPL, and rated product perceptions and label reactions. Fewer than half of participants in the control group (39.1%) correctly identified all products high in nutrient(s) of concern. All FOPLs led to an increase in this outcome, with the biggest differences observed for the warning label (60.8%, p < 0.001), followed by the traffic light label (54.8%, p < 0.001), GDA (55.0%, p < 0.001), and HSR (45.0%, p < 0.01). While no FOPLs led to a reduction in intentions to purchase the packaged foods, the overall pattern of results suggested that warning labels are the most effective FOPL to help Indian consumers identify unhealthy foods.

Funder

Bloomberg Philanthropies

Resolve to Save Lives

Publisher

MDPI AG

Subject

Food Science,Nutrition and Dietetics

Reference86 articles.

1. Public health: India's diabetes time bomb

2. Obesity-related non-communicable diseases: South Asians vs White Caucasians

3. The Metabolic Syndrome in South Asians: Epidemiology, Determinants, and Prevention

4. National Family Health Survey (NFHS-5), 2019–2021,2022

5. Global Obesity Observatory: India https://data.worldobesity.org/country/india-95/#data_prevalence

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