Evidence map›Paper›PMID 37810520›Full record

ArticleObesity science & practice2023

Assessing public perception and awareness of UK mandatory calorie labeling in the out-of-home sector: Using Twitter and Google trends data.

Megan Polden, Eric Robinson, Andrew Jones

Abstract read
In one paragraph

Article in Obesity science & practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
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  7. Does menu calorie labelling cause or exacerbate eating disorders?International journal of obesity (2005) · 2024
    Review
  8. Article
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  12. Observational
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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

3 authors.

Megan PoldenDepartment of Primary Care and Mental Health University of Liverpool Liverpool UK.ORCID https://orcid.org/0000-0002-1813-0765
Eric RobinsonDepartment of Psychology University of Liverpool Liverpool UK.
Andrew JonesSchool of Psychology Liverpool John Moores University Liverpool UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: In 2021 the UK government announced a new obesity policy requiring large out-of-home food outlets to provide mandatory in-store calorie labeling on food and drink items. Public acceptability and engagement with obesity policies could influence the level of impact on wider public health particularly with population-level policies such as calorie labeling. This study aimed to examine public responses and awareness of the policy using social media (Twitter) comments and Google trends data. Methods: This study examined responses to social media posts on Twitter (tweets) from the UK Department of Health and Social Care detailing the policy, implementation date and post-implementation information about the policy's enforcement. The sentiments of the tweets were coded and the number of likes and replies extracted. This study utilized google trends to examine public awareness of the policy by extracting weekly relative search volume for relevant phrases such as "calorie labeling." Results: From the 276 replies/quote-tweet extracted, the majority expressed a negative sentiment toward the policy ( Conclusions: This analysis revealed negative sentiment toward and increased searching of calorie labeling information during the announcement and implementation of the 2021 mandatory calorie labeling policy in England. A greater understanding of public responses to calorie labeling policies may help tailor future policies and public communication strategies.

Indexed as

calorie labelingGoogle trendspublic healthTwitter

Identifiers

PMID37810520
PMCPMC10551121

What OpenQuestion holds

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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.