Evidence map›Paper›PMID 33026451›Full record

ArticleJAMA network open2020

Association of Chain Restaurant Advertising Spending With Obesity in US Adults.

Sara N Bleich, Mark J Soto, Jesse C Jones-Smith, Julia A Wolfson, Marian P Jarlenski, Caroline G Dunn, Johannah M Frelier, Bradley J Herring

Abstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Restaurant Advertising Expenditure Patterns in US Counties by Race, Ethnicity, and Income.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
    Article
  2. Article
  3. Nutrition and origin of US chain restaurant seafood.The American journal of clinical nutrition · 2021
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Sara N BleichDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Mark J SotoDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Jesse C Jones-SmithDepartment of Health Services, University of Washington School of Public Health, Seattle.
Julia A WolfsonDepartment of Health Management and Policy, Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor.
Marian P JarlenskiDepartment of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.
Caroline G DunnDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Johannah M FrelierDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Bradley J HerringDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Restaurants spend billions of dollars on marketing. However, little is known about the association between restaurant marketing and obesity risk in adults. Objective: To examine associations between changes in per capita county-level restaurant advertising spending over time and changes in objectively measured body mass index (BMI) for adult patients. Design, Setting, and Participants: This cohort study used regression models with county fixed effects to examine associations between changes in per capita county-level (370 counties across 44 states) restaurant advertising spending over time with changes in objectively measured body mass index (BMI) for US adult patients from 2013 to 2016. Different media types and restaurant types were analyzed together and separately. The cohort was derived from deidentified patient data obtained from athenahealth. The final analytic sample included 5 987 213 patients, and the analysis was conducted from March 2018 to November 2019. Exposure: Per capita county-level chain restaurant advertising spending. Main Outcomes and Measures: Individual-level mean BMI during the quarter. Results: The included individuals were generally older (37.1% older than 60 years), female (56.8%), and commercially insured (53.5%). For the full population of 29 285 920 person-quarters, there was no association between changes in all restaurant advertising per capita (all media types, all restaurants) and changes in BMI. However, restaurant advertising spending was positively associated with weight gain for patients in low-income counties but not in high-income counties. A $1 increase in quarterly advertising per capita across all media and restaurant types was associated with a 0.053-unit increase in BMI (95% CI, 0.001-0.102) for patients in low-income counties, corresponding to a 0.12% decrease in BMI at the 10th percentile of changes in county advertising spending vs a 0.12% increase in BMI at the 90th percentile. Conclusions and Relevance: The results of this study suggest that restaurant advertising is associated with modest weight gain among adult patients in low-income counties. To date, there has been no public policy action or private sector action to limit adult exposure to unhealthy restaurant advertising. Efforts to decrease restaurant advertising in low-income communities should be intensified and rigorously evaluated to understand their potential for increasing health equity.

Indexed as

AdultAdvertisingBody Mass IndexCohort StudiesFast FoodsFemaleHumansMaleMenu PlanningMiddle AgedObesityResidence CharacteristicsRestaurantsSocioeconomic FactorsUnited States

Identifiers

PMID33026451
PMCPMC7542328

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Registered trials

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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.