Evidence map›Paper›PMID 34682538›Full record

ArticleInternational journal of environmental research and public health2021

The Federal Menu Labeling Law and Twitter Discussions about Calories in the United States: An Interrupted Time-Series Analysis.

Yulin Hswen, Alyssa J Moran, Siona Prasad, Anna Li, Denise Simon, Lauren Cleveland, Jared B Hawkins, John S Brownstein, Jason Block

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Yulin HswenDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 94158, USA.
Alyssa J MoranDepartment of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MA 21205, USA.
Siona PrasadHarvard University, Cambridge, MA 02138, USA.ORCID 0000-0003-1762-5069
Anna LiHarvard University, Cambridge, MA 02138, USA.ORCID 0000-0002-9340-8480
Denise SimonHarvard Pilgrim Health Care, Boston, MA 02215, USA.
Lauren ClevelandHarvard Pilgrim Health Care, Boston, MA 02215, USA.
Jared B HawkinsComputational Epidemiology Lab, Harvard Medical School, Boston, MA 02215, USA.ORCID 0000-0002-6352-1618
John S BrownsteinComputational Epidemiology Lab, Harvard Medical School, Boston, MA 02215, USA.
Jason BlockHarvard Pilgrim Health Care, Boston, MA 02215, USA.

Funding

CVD Epidemiology Training Program in Behavior, the Environment and Global HealthT32HL098048 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Goodarz Danaei, ERIC B RIMM · 2009 to 2026
$6.9M
New Insights into the Federal Calorie Labeling LawR01DK115492 · NIDDK · HARVARD PILGRIM HEALTH CARE, INC. · PI Jason Perry Block · 2018 to 2026
$6.0M
NHLBI NIH HHS T32HL098048NIDDK NIH HHS R01 DK115492U.S. National Library of Medicine R01DK115492
6 · The paper itself

Abstract

Public awareness of calories in food sold in retail establishments is a primary objective of the menu labeling law. This study explores the extent to which we can use social media and internet search queries to understand whether the federal calorie labeling law increased awareness of calories. To evaluate the association of the federal menu labeling law with tweeting about calories we retrieved tweets that contained the term "calorie(s)" from the CompEpi Geo Twitter Database from 1 January through 31 December in 2016 and 2018. Within the same time period, we also retrieved time-series data for search queries related to calories via Google Trends (GT). Interrupted time-series analysis was used to test whether the federal menu labeling law was associated with a change in mentions of "calorie(s)" on Twitter and relative search queries to calories on GT. Before the implementation of the federal calorie labeling law on 7 May 2018, there was a significant decrease in the baseline trend of 4.37 × 10

Indexed as

Social MediaConsumer BehaviorEnergy IntakeFood LabelingHumansRestaurantsUnited Statescaloriefederal labeling lawhealth policyinterrupted time-seriessentiment analysissocial mediaTwitter

Identifiers

PMID34682538
PMCPMC8535269

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.