ArticlePublic health nutrition2018
Making salt-reduced products more appealing to consumers: impact of front-of-pack messages on liking and table salt use over time.
Article in Public health nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Relationship Between Brand Presence and Emotions on Overall Acceptance and Purchase Intent of Commercial Chicken Noodle Soup.Foods (Basel, Switzerland) · 2025Article
- Evidence on the effectiveness and equity of population-based policies to reduce the burden of type 2 diabetes: a narrative review.Diabetologia · 2025Review
- An assessment of nutrition information on front of pack labels and healthiness of foods in the United Kingdom retail market.BMC public health · 2021Article
- Is a Consumer Perception of Salt Modification a Sensory or a Behavioural Phenomenon? Insights from a Bread Study.Foods (Basel, Switzerland) · 2020Article
- Identifying High-Priority Populations for Dietary Salt Reduction Using the TARPARE Model: A Cross-Sectional Study.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe current study investigated the impact of different front-of-pack messages on liking, salt perception and table salt use of salt-reduced soups over repeated consumption.
designIn a between-subjects design, participants consumed a chicken noodle soup five times over 3 weeks. Participants were assigned to one of five experimental conditions and were categorized into three 'Interest in Salt Reduction' groups based on their self-reported interest in salt reduction. They consumed a regular-salt soup or a 30 % salt-reduced soup, either with or without a front-of-pack message (nutritional, sensory or social based). Liking, salt perception and table salt use were measured at each consumption.
settingCentral location test. SUBJECTS: British consumers (n 493) aged 24-65 years.
resultsThe soups remained stable in liking over repeated consumption, with no significant differences between the experimental conditions. However, liking did differ among the different Interest in Salt Reduction groups: the 'not aware, no action' group liked salt-reduced soups with a nutritional message the most, whereas the 'aware and action' group liked salt-reduced soups with a social message the most. There was no change in the amount of table salt added as people got more familiar with the salt-reduced soups, suggesting a strong role for habit in table salt use.
conclusionsIt mattered whether consumers were thinking about reducing their salt intake or not: a communication message tailored to a country's interest in reducing salt is recommended to motivate consumers to lower their salt intake.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.