ArticlePreventing chronic disease2014
Evaluation of the placement of mobile fruit and vegetable vendors to alleviate food deserts in New York City.
Article in Preventing chronic disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled 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.
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
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Pooled it
- Evaluation of Food Retail Policies Implementation in China Using the Healthy Food Environment Policy Index.Nutrients · 2025Article
- High street retail environment interventions and their theorised impacts on health and wellbeing: A scoping review.PloS one · 2024Article
- Food and beverage purchases at formal and informal outlets in Mexico.Public health nutrition · 2023Article
- PCD 2021 Student Research Collection: Building Public Health Research Capacity in Real-World Settings and the 2022 Call for Papers.Preventing chronic disease · 2021Article
- Dietary policies and programs in the United States: A narrative review.Preventive medicine reports · 2020Review
- Mobile produce market influences access to fruits and vegetables in an urban environment.Public health nutrition · 2018Article
- Could EBT Machines Increase Fruit and Vegetable Purchases at New York City Green Carts?Preventing chronic disease · 2017Article
- Review: Increasing Awareness and Education on Health Disparities for Health Care Providers.Ethnicity & disease · 2016Review
- The role of the local retail food environment in fruit, vegetable and sugar-sweetened beverage consumption in Brazil.Public health nutrition · 2016Article
- Eating Patterns, Body Mass Index, and Food Deserts: Does It Matter Where We Live?Preventing chronic disease · 2015Article
- Evaluation of the New York City Green Carts program.AIMS public health · 2015Article
- Considering trends in sodium, trans fat, and saturated fat as key metrics of cardiometobolic risk reduction.Preventing chronic disease · 2014Article
- Outstanding student research: Li et al on investigating the placement of green carts to improve access to healthful foods in food deserts.Preventing chronic disease · 2014Article
- The Association between Self-Reported Grocery Store Access, Fruit and Vegetable Intake, Sugar-Sweetened Beverage Consumption, and Obesity in a Racially Diverse, Low-Income Population.Frontiers in public health · 2014Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
introductionIn 2008, the New York City (NYC) health department licensed special mobile produce vendors (Green Carts) to increase access to fruits and vegetables in neighborhoods with the lowest reported fruit and vegetable consumption and the highest obesity rates. Because economic incentives may push vendors to locate in more trafficked, less produce-deprived areas, we examined characteristics of areas with and without Green Carts to explore whether Carts are positioned to reach the intended populations.
methodsUsing ArcGIS software, we mapped known NYC Green Cart locations noted through 2013 and generated a list of potential (candidate) sites where Carts could have located. We compared the food environment (via categorizing "healthy" or "unhealthy" food stores using federal classification codes corroborated by online storefront images) and other factors that might explain Cart location (eg, demographic, business, neighborhood characteristics) near actual and candidate sites descriptively and inferentially.
resultsSeven percent of Green Carts (n = 265) were in food deserts (no healthy stores within one-quarter mile) compared with 36% of candidate sites (n = 644, P < .001). Most Carts (78%) were near 2 or more healthy stores. Green Carts had nearly 60 times the odds of locating near subway stops (P < .001), were closer to large employers (odds ratio [OR], 6.4; P < .001), other food stores (OR, 14.1; P < .001), and in more populous tracts (OR, 2.9, P <.01) compared with candidate sites.
conclusionGreen Carts were rarely in food deserts and usually had multiple healthy stores nearby, suggesting that Carts may not be serving the neediest neighborhoods. Exploration of Carts' benefits in non-food desert areas is needed, but incentivizing vendors to locate in still-deprived places may increase program impact.
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Registered trials
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.