Evidence map›Paper›PMID 27918426›Full record

ArticleNutrients2016

Do Health Claims and Front-of-Pack Labels Lead to a Positivity Bias in Unhealthy Foods?

Zenobia Talati, Simone Pettigrew, Helen Dixon, Bruce Neal, Kylie Ball, Clare Hughes

Abstract read
In one paragraph

Article in Nutrients, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
–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

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Zenobia TalatiSchool of Psychology and Speech Pathology, Curtin University, Kent St, Bentley, WA 6102, Australia. zenobia.talati@curtin.edu.au.
Simone PettigrewSchool of Psychology and Speech Pathology, Curtin University, Kent St, Bentley, WA 6102, Australia. simone.pettigrew@curtin.edu.au.
Helen DixonCentre for Behavioural Research in Cancer, Cancer Council Victoria, Melbourne, VIC 3004, Australia. helen.dixon@cancervic.org.au.
Bruce NealThe George Institute for Global Health, University of Sydney, Sydney, NSW 2000, Australia. bneal@georgeinstitute.org.au.
Kylie BallInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia. kylie.ball@deakin.edu.au.
Clare HughesCancer Council, Sydney, NSW 2150, Australia. clareh@nswcc.org.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health claims and front-of-pack labels (FoPLs) may lead consumers to hold more positive attitudes and show a greater willingness to buy food products, regardless of their actual healthiness. A potential negative consequence of this positivity bias is the increased consumption of unhealthy foods. This study investigated whether a positivity bias would occur in unhealthy variations of four products (cookies, corn flakes, pizzas and yoghurts) that featured different health claim conditions (no claim, nutrient claim, general level health claim, and higher level health claim) and FoPL conditions (no FoPL, the Daily Intake Guide (DIG), Multiple Traffic Lights (MTL), and the Health Star Rating (HSR)). Positivity bias was assessed via measures of perceived healthiness, global evaluations (incorporating taste, quality, convenience, etc.) and willingness to buy. On the whole, health claims did not produce a positivity bias, while FoPLs did, with the DIG being the most likely to elicit this bias. The HSR most frequently led to lower ratings of unhealthy foods than the DIG and MTL, suggesting that this FoPL has the lowest risk of creating an inaccurate positivity bias in unhealthy foods.

Indexed as

Health BehaviorAdolescentAdultAgedBiasChildChoice BehaviorConsumer BehaviorDeceptionFemaleFoodFood LabelingFood PreferencesHumansMaleMiddle Ageddaily intakefront-of-pack labellinghealth claimshealth halohealth star ratingpositivity biastraffic lights

Identifiers

PMID27918426
PMCPMC5188442

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.