Evidence map›Paper›PMID 30653448›Full record

ArticlePreventing chronic disease2019

Understanding the Density and Distribution of Restaurants in Los Angeles County to Inform Local Public Health Practice.

Lauren N Gase, Gabrielle Green, Christine Montes, Tony Kuo

Abstract read
In one paragraph

Article in Preventing chronic disease, 2019. 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

4 authors.

Lauren N GaseDivision of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, Los Angeles, California.
Gabrielle GreenDivision of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, Los Angeles, California.
Christine MontesDivision of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, Los Angeles, California.
Tony KuoDivision of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, Los Angeles, California.

Funding

CHRONIC DISEASE PREVENTION STRATEGY IN LOS ANGELESU58DP005509 · DP · LOS ANGELES COUNTY PUBLIC HEALTH DEPARTMENT · PI KUO, TONY · 2014 to 2014
$3.5M
NCCDPHP CDC HHS U58 DP005509
6 · The paper itself

Abstract

introductionTo describe the potential reach of restaurant-based strategies that seek to improve the healthfulness of menu options, it is important to understand the local restaurant environment, including the extent to which restaurants subject to policy mandates are located in communities disproportionately affected by diet-related diseases.

methodsThis cross-sectional study examined the restaurant environment in Los Angeles County, a large jurisdiction with diverse geographic and socioeconomic characteristics, specifically 1) the number and characteristics of restaurants; 2) the association between neighborhood sociodemographics and restaurant density; and 3) the association between neighborhood sociodemographics and restaurant characteristics, including chain status (large chain, small chain, independent restaurant). Data sources were 1) industry data on restaurant location and characteristics (N = 24,292 restaurants) and 2) US Census data on neighborhood sociodemographics (N = 247 neighborhoods). We conducted descriptive and bivariate analyses at the restaurant and neighborhood level.

resultsCountywide, only 26.5% of all restaurants were part of a large chain (a chain with ≥20 locations). We found positive associations between restaurant density and neighborhood proportions of non-Hispanic white residents and residents with more than a high school education. We found limited support to suggest a greater density of large chains in neighborhoods with lower socioeconomic status.

conclusionResults highlight the potentially limited reach of strategies targeting chain restaurants and point to the importance of including small chain restaurants and independent restaurants in public health efforts to improve the healthfulness of restaurants. Understanding where restaurants are in relation to priority populations is a critical step to planning strategies that address diet-related disparities.

Indexed as

Public Health AdministrationPublic Health PracticeCaliforniaFood SupplyHumansResidence CharacteristicsRestaurantsSocioeconomic Factors

Identifiers

PMID30653448
PMCPMC6341821

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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.