Evidence map›Paper›PMID 36550343›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2023

The Health and Economic Impact of Using a Sugar Sweetened Beverage Tax to Fund Fruit and Vegetable Subsidies in New York City: A Modeling Study.

Zhouyang Lou, Stella S Yi, Jennifer Pomeranz, Rachel Suss, Rienna Russo, Pasquale E Rummo, Heesun Eom, Junxiu Liu, Yiyi Zhang, Andrew E Moran and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 21% of its field
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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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

13 authors at 6 institutions in 2 countries.

Zhouyang LouSchool of Industrial Engineering, Purdue University, West Lafayette, IN, USA.
Stella S YiDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Jennifer PomeranzDepartment of Public Health Policy and Management, School of Global Public Health, New York University, New York, NY, USA.
Rachel SussDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Rienna RussoDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Pasquale E RummoDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Heesun EomDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Junxiu LiuDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Yiyi ZhangDivision of General Medicine, Columbia University Irving Medical Center, New York, NY, USA.
Andrew E MoranDivision of General Medicine, Columbia University Irving Medical Center, New York, NY, USA.
Brandon K BellowsDivision of General Medicine, Columbia University Irving Medical Center, New York, NY, USA. bkb2132@cumc.columbia.edu.
Nan KongWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA. nkong@purdue.edu.
Yan LiDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. yanliacademic@gmail.com.ORCID 0000-0001-6155-0389
New York University · USColumbia University Irving Medical Center · USIcahn School of Medicine at Mount Sinai · USPurdue University West Lafayette · USHarvard University · USShanghai Jiao Tong University · CN

Funding

Assessment of Policies through Prediction of Long-term Effects on Cardiovascular Disease Using Simulation (APPLE CDS)R01HL141427 · NHLBI · NEW YORK ACADEMY OF MEDICINE · PI LIU, BIAN, YI, STELLA S · 2018 to 2021
$3.5M
NHLBI NIH HHS R01 HL141427NHLBI NIH HHS R01HL141427
6 · The paper itself

Abstract

Low fruit and vegetable (FV) intake and high sugar-sweetened beverage (SSB) consumption are independently associated with an increased risk of developing cardiovascular disease (CVD). Many people in New York City (NYC) have low FV intake and high SSB consumption, partly due to high cost of fresh FVs and low cost of and easy access to SSBs. A potential implementation of an SSB tax and an FV subsidy program could result in substantial public health and economic benefits. We used a validated microsimulation model for predicting CVD events to estimate the health impact and cost-effectiveness of SSB taxes, FV subsidies, and funding FV subsidies with an SSB tax in NYC. Population demographics and health profiles were estimated using data from the NYC Health and Nutrition Examination Survey. Policy effects and price elasticity were derived from recent meta-analyses. We found that funding FV subsidies with an SSB tax was projected to be the most cost-effective policy from the healthcare sector perspective. From the societal perspective, the most cost-effective policy was SSB taxes. All policy scenarios could prevent more CVD events and save more healthcare costs among men compared to women, and among Black vs. White adults. Public health practitioners and policymakers may want to consider adopting this combination of policy actions, while weighing feasibility considerations and other unintended consequences.

Indexed as

Cardiovascular DiseasesFinancial ManagementSugar-Sweetened BeveragesAdultBeveragesFemaleFruitHumansMaleNew York CityTaxesVegetablesEconomic evaluationFood policyPolicy modelingUrban health

Identifiers

PMID36550343
PMCPMC9918717
OpenAlexW4312114640

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.