ArticlePublic health nutrition2020
Government data
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 7 papers.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed.
- Community Food Environment in Brazilian Medium-Sized Municipality After the Ore Dam Break: Database Creation and Diagnosis.International journal of environmental research and public health · 2025Article
- What North American retail food environment indices miss in Guatemala: Cultural considerations for the study of place and health.Applied geography (Sevenoaks, England) · 2024Article
- A longitudinal analysis of the fluctuation of food stores in Belo Horizonte, Minas Gerais, Brazil.BMC public health · 2023Article
- An Indicator Measuring the Influence of the Online Public Food Environment: An Analytical Framework and Case Study.Frontiers in nutrition · 2022Article
- Change in an urban food environment within a single year: Considerations for food-environment research and community health.Preventive medicine reports · 2020Article
- Relationship between retail food outlets near public schools and adolescent obesity in New York City.Health & place · 2020Article
- Healthful and less-healthful foods and drinks from storefront and non-storefront businesses: implications for 'food deserts', 'food swamps' and food-source disparities.Public health nutrition · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
objectiveTo assess the accuracy of government inspection records, relative to ground observation, for identifying businesses offering foods/drinks.
designAgreement between city and state inspection records v. ground observations at two levels: businesses and street segments. Agreement could be 'strict' (by business name, e.g. 'Rizzo's') or 'lenient' (by business type, e.g. 'pizzeria'); using sensitivity and positive predictive value (PPV) for businesses and using sensitivity, PPV, specificity and negative predictive value (NPV) for street segments.
settingThe Bronx and the Upper East Side (UES), New York City, USA.
participantsAll food/drink-offering businesses on sampled street segments (n 154 in the Bronx, n 51 in the UES).
resultsBy 'strict' criteria, sensitivity and PPV of government records for food/drink-offering businesses were 0·37 and 0·57 in the Bronx; 0·58 and 0·60 in the UES. 'Lenient' values were 0·40 and 0·62 in the Bronx; 0·60 and 0·62 in the UES. Sensitivity, PPV, specificity and NPV of government records for street segments having food/drink-offering businesses were 0·66, 0·73, 0·84 and 0·79 in the Bronx; 0·79, 0·92, 0·67, and 0·40 in the UES. In both areas, agreement varied by business category: restaurants; 'food stores'; and government-recognized other storefront businesses ('gov. OSB', i.e. dollar stores, gas stations, pharmacies). Additional business categories - 'other OSB' (barbers, laundromats, newsstands, etc.) and street vendors - were absent from government records; together, they represented 28·4 % of all food/drink-offering businesses in the Bronx, 22·2 % in the UES ('other OSB' and street vendors were sources of both healthful and less-healthful foods/drinks in both areas).
conclusionsGovernment records frequently miss or misrepresent businesses offering foods/drinks, suggesting caveats for food-environment assessments using such records.
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Registered trials
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