Evidence map›Paper›PMID 41490064›Full record

ArticlePLoS medicine2026

Taxation of foods high in fat, sugar, and sodium in India: A modelling study of health and economic impacts.

Maxime Roche, Jingmin Zhu, Jack Olney, Daniel J Laydon, William Joe, Manika Sharma, Lindsay Steele, Franco Sassi

Abstract read
In one paragraph

Article in PLoS medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Maxime RocheCentre for Health Economics & Policy Innovation, Department of Economics & Public Policy, Imperial College Business School, South Kensington Campus, London, United Kingdom.ORCID https://orcid.org/0000-0002-2797-7984
Jingmin ZhuCentre for Health Economics & Policy Innovation, Department of Economics & Public Policy, Imperial College Business School, South Kensington Campus, London, United Kingdom.
Jack OlneyCentre for Health Economics & Policy Innovation, Department of Economics & Public Policy, Imperial College Business School, South Kensington Campus, London, United Kingdom.ORCID https://orcid.org/0000-0002-7257-7840
Daniel J LaydonCentre for Health Economics & Policy Innovation, Department of Economics & Public Policy, Imperial College Business School, South Kensington Campus, London, United Kingdom.ORCID https://orcid.org/0000-0003-4270-3321
William JoeInstitute of Economic Growth, Delhi University Enclave, North Campus, New Delhi, India.ORCID https://orcid.org/0000-0003-3282-658X
Manika SharmaResolve to Save Lives Services PLC, New Delhi, India.ORCID https://orcid.org/0000-0002-2841-8113
Lindsay SteeleResolve to Save Lives, Alexandria, Virginia, United States of America.
Franco SassiCentre for Health Economics & Policy Innovation, Department of Economics & Public Policy, Imperial College Business School, South Kensington Campus, London, United Kingdom.ORCID https://orcid.org/0000-0001-9773-2117

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsumption of foods high in fat, sugar, and sodium (HFSS) and obesity are rapidly increasing in India. Taxing HFSS foods has been proposed as one of the policy interventions to promote healthier diets globally. This study estimates the effect of this approach on nutrient intake, diet-related disease, and associated health and economic burdens in India. METHODS AND

findingsWe use a nationally representative expenditure survey of 261,746 households, dietary requirements, and food composition tables to model individual nutrient intake. Consumer responsiveness to food price changes for three income terciles, captured in price elasticities, is estimated using an Almost Ideal Demand System model. Longer-term policy impacts are estimated through a novel dynamic microsimulation model, Health-GPS. Modelled policy outcomes include changes in risk exposures, disease incidence and burden, and total health expenditure. On average, 9.9% of total energy intake comes from HFSS items, based on the definition by the Food Safety and Standards Authority of India's Labelling and Display Amendment Draft Regulations 2022. Applying the highest Goods and Services Tax (GST) rate of 40% on HFSS items is associated with a persistent average per capita decrease of 0.1705 kg/m2 (95% CI: -0.1709, -0.1700) in body mass index and 45.8 mg (95% CI: -45.9, -45.7) in daily sodium intake. Over 30 years, this could reduce annual disease incidence by up to 1.72% (95% CI: -1.78%, -1.66%) on average and prevent 0.63 million (95% CI: -0.71, -0.55) disability-adjusted life years per year from ischaemic heart disease, chronic kidney disease, stroke, diabetes, and asthma, reducing total health expenditure by US$601 million (95% CI: -624, -578) per year. Larger absolute health gains accrue to higher-income individuals, reflecting higher baseline HFSS food intake. Given substitution patterns and a price-inelastic demand, the tax change is expected to generate a 92.0% (95% CI: 88.2%, 95.7%) increase in tax revenue from foods and beverages with only a minor effect on household spending (+1.0%, 95% CI: + 0.0%, + 1.9%). This analysis only captures the potential health impacts of changes in energy and sodium intakes. In addition, it does not model underlying temporal trends in disease incidence beyond those due to demographic changes, which would make our health impact estimates conservative if baseline disease risks were to increase in the future.

conclusionsHigher taxation of HFSS foods could help mitigate rising incidence of diet-related diseases and morbidity in India, reduce healthcare costs, and serve as an additional source of revenue for the government.

Indexed as

Dietary FatsDietary SugarsSodium, DietaryTaxesEnergy IntakeFemaleHealth ExpendituresHumansIndiaMaleDietary FatsDietary SugarsSodium, Dietary

Identifiers

PMID41490064
PMCPMC12768244

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.