Evidence map›Paper›PMID 35557551›Full record

ArticleHealth equity2022

Beverage Availability and Price: Variations by Neighborhood Poverty Level in New York City.

Marie A Bragg, Pasquale E Rummo, Tenay Greene, Josh Arshonsky, Amaka V Anekwe, Tamar Adjoian Mezzacca, Shannon M Farley

Abstract read
In one paragraph

Article in Health equity, 2022. 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

7 authors.

Marie A BraggDepartment of Population Health, New York University School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0002-6858-7173
Pasquale E RummoDepartment of Population Health, New York University School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0002-9285-5430
Tenay GreeneDepartment of Population Health, New York University School of Medicine, New York, New York, USA.
Josh ArshonskyDepartment of Population Health, New York University School of Medicine, New York, New York, USA.
Amaka V AnekweNew York City Department of Health and Mental Hygiene, Bureau of Chronic Disease Prevention and Tobacco Control, Long Island City, New York, USA.
Tamar Adjoian MezzaccaNew York, NY.
Shannon M FarleyICAP, Columbia University, Columbia University Mailman School of Public Health, New York, NY USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To describe the variability in the availability and price of sugary drinks, low-calorie drinks, and water/seltzer across high- and low-poverty census tracts in the five boroughs of New York City (NYC). Design: Cross-sectional study. Our primary analysis compared the overall sample of beverages. Secondary analyses included tests for differences in the availability of beverage categories by neighborhood poverty level. Setting: We collected data from 106 stores (31 supermarkets, 29 convenience stores, 29 pharmacies, 9 Targets, and 8 Dollar Trees) in NYC. Fifty-four stores were located in high-poverty census tracts and 52 were located in low-poverty census tracts. Results: The mean Price per 0.03-liter of sugary drinks across the sample was $0.08, which was significantly higher than the price of low-calorie drinks ($0.07, Conclusions: Sugary drinks were available in most food retail settings in NYC, with little variation by census tract poverty level. Interventions that raise the price of sugary drinks to make healthier alternatives, such as water, the more affordable option should be considered.

Indexed as

beveragesfood environmentobesitysugary drinks

Identifiers

PMID35557551
PMCPMC9081063

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.