Evidence map›Paper›PMID 30227952›Full record

ArticleJournal of the Academy of Nutrition and Dietetics2018

Change in an Urban Food Environment: Storefront Sources of Food/Drink Increasing Over Time and Not Limited to Food Stores and Restaurants.

Sean C Lucan, Andrew R Maroko, Achint N Patel, Ilirjan Gjonbalaj, Courtney Abrams, Stephanie Rettig, Brian Elbel, Clyde B Schechter

Abstract read
In one paragraph

Article in Journal of the Academy of Nutrition and Dietetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Government dataPublic health nutrition · 2020
    Article
  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

8 authors.

Sean C Lucan
Andrew R Maroko
Achint N Patel
Ilirjan Gjonbalaj
Courtney Abrams
Stephanie Rettig
Brian Elbel
Clyde B Schechter

Funding

Core-010UL1TR001073 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, SHAMOON, HARRY · 2013 to 2017
$21.3M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Impact of the Food Environment on Child Body Mass Index - Resubmission - 1R01DK097347 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ELBEL, BRIAN · 2013 to 2016
$2.7M
Local food sources around home and school and adolescent dietary intakeK23HD079606 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI LUCAN, SEAN CHRISTIAN · 2015 to 2019
$764k
NCATS NIH HHS UL1 TR001073NICHD NIH HHS K23 HD079606NIDDK NIH HHS P30 DK111022NIDDK NIH HHS R01 DK097347
6 · The paper itself

Abstract

backgroundLocal food environments include food stores (eg, supermarkets, grocery stores, bakeries) and restaurants. However, the extent to which other storefront businesses offer food/drink is not well described, nor is the extent to which food/drink availability through a full range of storefront businesses might change over time.

objectivesThis study aimed to assess food/drink availability from a full range of storefront businesses and the change over time and to consider implications for food-environment research.

designInvestigators compared direct observations from 2010 and 2015. PARTICIPANTS/

settingIncluded were all storefront businesses offering foods/drinks on 153 street segments in the Bronx, NY.

main outcome measuresThe main outcome was change between 2010 and 2015 as determined by matches between businesses. Matches could be strict (businesses with the same name on the same street segment in both years) or lenient (similar businesses on the same street segment in both years). Investigators categorized businesses as general grocers, specialty food stores, restaurants, or other storefront businesses (eg, barber shops/beauty salons, clothing outlets, hardware stores, laundromats, and newsstands). STATISTICAL ANALYSES PERFORMED: Investigators quantified change, specifically calculating how often businesses in 2015 were present in 2010 and vice versa.

resultsStrict matches for businesses in 2015 present in 2010 ranged from 29% to 52%, depending on business category; lenient matches ranged from 43% to 72%. Strict matches for businesses in 2010 present in 2015 ranged from 34% to 63%; lenient matches ranged from 72% to 83%. In 2015 compared with 2010, on 22% more of the sampled street segments, 30% more businesses were offering food/drink: 66 vs 46 general grocers, 22 vs 19 specialty food stores, 99 vs 99 restaurants, 98 vs 56 other storefront businesses.

conclusionsOver 5 years, an urban food environment changed substantially, even by lenient standards, particularly among "other storefront businesses" and in the direction of markedly greater food availability (more businesses offering food on more streets). Failure to consider a full range of food/drink sources and change in food/drink sources could result in erroneous food-environment conclusions.

Indexed as

EnvironmentUrban PopulationBeveragesCommerceDietEatingFast FoodsFoodFood IndustryFood SupplyHumansNew York CityResidence CharacteristicsRestaurantsAccuracyChangeFood environmentMeasurementUrban

Identifiers

PMID30227952
PMCPMC6204078

What OpenQuestion holds

Textmetadata
LicenceTDM
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.