Evidence map›Paper›PMID 29095587›Full record

ArticleWMJ : official publication of the State Medical Society of Wisconsin2016

Neighborhood Disparities in the Restaurant Food Environment.

Ana P Martinez-Donate, Jennifer Valdivia Espino, Amy Meinen, Anne L Escaron, Anne Roubal, Javier Nieto, Kristen Malecki

Abstract read
In one paragraph

Article in WMJ : official publication of the State Medical Society of Wisconsin, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Urban-rural disparities in childhood obesogenic environments in the United States: Application of differing rural definitions.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2023
    Article
  6. Article
  7. Article
  8. 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.

Ana P Martinez-Donate
Jennifer Valdivia Espino
Amy Meinen
Anne L Escaron
Anne Roubal
Javier Nieto
Kristen Malecki

Funding

INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
Novel population health approach to address CVD and pulmonary health disparitiesRC2HL101468 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI NIETO, F. JAVIER · 2009 to 2010
$5.3M
Scientific and Technical CoreP2CHD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 2014 to 2026
$5.1M
NCRR NIH HHS UL1 RR025011NHLBI NIH HHS RC2 HL101468NIA NIH HHS P30 AG017266NICHD NIH HHS P2C HD047873NIH HHS 5UL 1RR025011
6 · The paper itself

Abstract

importanceRestaurant meals account for a significant portion of the American diet. Investigating disparities in the restaurant food environment can inform targeted interventions to increase opportunities for healthy eating among those who need them most.

objectiveTo examine neighborhood disparities in restaurant density and the nutrition environment within restaurants among a statewide sample of Wisconsin households.

methodsHouseholds (N = 259) were selected from the 2009-2010 Survey of the Health of Wisconsin (SHOW), a population-based survey of Wisconsin adults. Restaurants in the household neighborhood were enumerated and audited using the Nutrition Environment Measures Survey for Restaurants (NEMS-R). Neighborhoods were defined as a 2- and 5-mile street-distance buffer around households in urban and non-urban areas, respectively. Adjusted linear regression models identified independent associations between sociodemographic household characteristics and neighborhood restaurant density and nutrition environment scores.

resultsOn average, each neighborhood contained approximately 26 restaurants. On average, restaurants obtained 36.1% of the total nutrition environment points. After adjusting for household characteristics, higher restaurant density was associated with both younger and older household average age (P < .05), all white households (P = .01), and urban location (P < .001). Compared to rural neighborhoods, urban and suburban neighborhoods had slightly higher (ie, healthier) nutrition environment scores (P < .001). CONCLUSIONS AND RELEVANCE: The restaurant food environment in Wisconsin neighborhoods varies by age, race, and urbanicity, but offers ample room for improvement across socioeconomic groups and urbanicity levels. Future research must identify policy and environmental interventions to promote healthy eating in all restaurants, especially in young and/or rural neighborhoods in Wisconsin.

Indexed as

Food SupplyResidence CharacteristicsRestaurantsAdolescentAdultAgedChildFemaleHealth BehaviorHealth SurveysHumansMaleMiddle AgedSocioeconomic FactorsWisconsin

Identifiers

PMID29095587
PMCPMC6095698

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.