Evidence map›Paper›PMID 31839022›Full record

ArticlePublic health nutrition2020

Food democracy, health disparities and the New York City

Kimberly E Johnson

Abstract read
In one paragraph

Article in Public health nutrition, 2020. 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

1 author.

Kimberly E JohnsonNutrition Department, West Chester University, 855 South New Street, HSC Sturzebecker Health Science Center, West Chester, PA 19383, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate food democracy and health disparities in the New York City (NYC) trans fat policy process.

designTexts from semi-structured interviews, public testimony and comments on the policy were analysed using categorization and thematic coding. A priori content analysis for themes of food democracy was followed by open, axial and selective coding for sub-themes on health disparities. Data and method triangulation and respondent validation were used to establish data dependability, trustworthiness and representativeness.

settingNYC.

participantsInterviews from a purposive, snowballed sample of thirty-three participants included restaurateurs, scientists, health and consumer advocates, consumers and policy makers. Additionally, 261 pages of transcript from public testimony of fifty-three participants and a purposive sample of public comments on the policy from a pool of 2157 were analysed.

resultsPrinciples of food democracy involving inclusive citizenship, access to information, collaborative participation and focus on collective good were well represented in the data. Additionally, sub-themes linked to health disparities included: government responsibility for fairer access to healthier foods; recognition that people made choices based on circumstances; concern for vulnerable groups; and outrage with a food industry viewed as unconcerned for public health.

conclusionsPrinciples of food democracy present in the successful process of adoption of the 2006 NYC trans fat policy addressed nutrition-related health. Food democracy is a contemporary food system and policy approach with potential for public health benefits in reducing nutrition-related health disparities.

Indexed as

DemocracyHealth Status DisparitiesNutrition PolicyAdultFemaleFood IndustryHumansMaleMiddle AgedNew York CityTrans Fatty AcidsTrans Fatty AcidsFood democracyHealth disparitiesHealth policyPublic engagementTrans fat

Identifiers

PMID31839022
PMCPMC10200524

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.