Evidence map›Paper›PMID 37843859›Full record

ArticleJAMA network open2023

Association Between a State-Level Fat Tax and Fast Food Purchases.

Sumit Agarwal, Pulak Ghosh, Changwei Zhan

Abstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

3 authors.

Sumit AgarwalNUS Business School, National University of Singapore (NUS), Singapore.
Pulak GhoshDepartment of Decision Sciences and Centre for Public Policy, Indian Institute of Management Bangalore, Bangalore, India.
Changwei ZhanNUS Business School and Institute of Real Estate and Urban Studies, NUS, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: India faces an increasing obesity problem, including in the Indian state of Kerala in which the fat tax was implemented but was nullified 11 months later. A fat tax, defined as a tax on unhealthy foods, may be associated with changes in food purchases and outcomes for multiple diet-related diseases. Objective: To investigate the association between the state-level fat tax and fast food purchases in Kerala, India. Design, Setting, and Participants: This cohort study analyzed a large-scale credit and debit card transaction data set and aggregated this sample at the account-year-month level of fast food purchases in Kerala state and 9 major cities in other Indian states (Ahmedabad, Bangalore, Bhubaneswar, Chennai, Delhi, Gurgaon, Kolkata, Mumbai, and Surat). Purchase records were obtained for January 1, 2016, to December 31, 2017. The association between the fat tax and fast food purchases was examined using the difference-in-differences method. This analysis was initiated on December 1, 2022. Exposures: The exposure was the fat tax. Kerala was the exposed group, and 9 major Indian cities were the control group. Main Outcomes and Measures: The main outcome was the fast food purchase ratio, defined as the proportion of fast food purchases of the total food purchases. Changes in the fast food purchase ratio were estimated in Kerala across the sample period and then compared with 9 major cities. Results: The sample for analysis included 238 015 credit and debit card accounts, of which 36.7% were in Kerala and 63.3% were in 9 major cities. The cardholders included 191 603 males (80.5%) with a mean (SD) age of 36.6 (12.8) years. During the fat tax implementation (August 2016-June 2017), Kerala's fast food purchase ratio decreased by 3.9 percentage points (β [SE], -0.039 [0.002]; 95% CI, -0.042 to -0.036), compared with 9 major cities. After the fat tax was nullified, the fast food purchase ratio reduced by 5.6 percentage points (γ [SE], -0.056 [0.002]; 95% CI, -0.059 to -0.052) compared with 9 major cities and using the pretax period as the benchmark. Conclusions and Relevance: Results of this cohort study suggest that the Kerala fat tax was associated with fewer fast food purchases. Food tax policies need to have an elaborate design, and related issues, such as social inequality, nutritional deficiency, and political concerns, need to be evaluated in future studies.

Indexed as

Consumer BehaviorFast FoodsAdultCohort StudiesHumansIndiaMaleSocioeconomic Factors

Identifiers

PMID37843859
PMCPMC10580107

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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.