Evidence map›Paper›PMID 36922823›Full record

ArticleNutrition journal2023

Patterns and correlates of nutrition knowledge across five countries in the 2018 international food policy study.

Jasmin Bhawra, Sharon I Kirkpatrick, Marissa G Hall, Lana Vanderlee, Christine M White, David Hammond

Open access · goldFull text read
In one paragraph

Article in Nutrition journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
12.5field-weighted citation impact, top 1% of its field
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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Food Processing Knowledge in Relation to Healthiness and Self-Reported Understanding of the Health Star Rating in Australia.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026
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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

6 authors at 4 institutions in 2 countries.

Jasmin BhawraSchool of Occupational and Public Health, Toronto Metropolitan University, Toronto, Canada.
Sharon I KirkpatrickSchool of Public Health Sciences, University of Waterloo, Waterloo, Canada.
Marissa G HallDepartment of Health Behavior, Gillings School of Global Public Health, and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, USA.
Lana VanderleeÉcole de Nutrition, Centre nutrition, santé et société (Centre NUTRISS) and Institut sur la nutrition et les aliments fonctionnels (INAF), Université Laval, Québec, Canada.
Christine M WhiteSchool of Public Health Sciences, University of Waterloo, Waterloo, Canada.
David HammondSchool of Public Health Sciences, University of Waterloo, Waterloo, Canada. dhammond@uwaterloo.ca.
University of Waterloo · CAToronto Metropolitan University · CAUniversité Laval · CAUniversity of North Carolina at Chapel Hill · US

Funding

Designing and Evaluating High-Impact Pictorial Health Warnings for Food ProductsK01HL147713 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HALL, MARISSA · 2019 to 2023
$738k
NHLBI NIH HHS K01 HL147713
6 · The paper itself

Abstract

backgroundNutrition knowledge is an important determinant of diet-related behaviour; however, the use of disparate assessment tools creates challenges for comparing nutrition knowledge levels and correlates across studies, geographic contexts, and populations. Using the Food Processing Knowledge (FoodProK) score - a measure of nutrition knowledge based on consumers' ability to understand and apply the concept of food processing in a functional task - nutrition knowledge levels and associated correlates were assessed in five countries.

methodsAdults, aged ≥18 years, were recruited through the Nielsen Consumer Insights Global Panel in Australia (n = 3997), Canada (n = 4170), Mexico (n = 4044), the United Kingdom (UK) (n = 5363), and the United States (US) (n = 4527). Respondents completed web-based surveys in November-December 2018. Functional nutrition knowledge was measured using the FoodProK score. Linear regression models examined associations between FoodProK score and sociodemographic, dietary behaviours, and knowledge-related characteristics.

resultsFoodProK scores (maximum, 8 points) were highest in Canada (mean: 5.1) and Australia (5.0), followed by the UK (4.8), Mexico (4.7), and the US (4.6). Health literacy and self-rated nutrition knowledge were positively associated with FoodProK scores (p < .001). FoodProK scores were higher among those who reported vegetarian/other dietary practices (p < .001); made efforts to consume less sodium, trans fats, or sugars (p < .001); ≥60 years (p = 0.002), female (p < .001), and 'majority' ethnic group respondents in their respective countries (p < .001).

conclusionsThis study found differences in consumers' ability to distinguish levels of food processing for common foods, with somewhat lower levels of nutrition knowledge in countries with the highest intake of highly processed foods. Nutrition knowledge differences based on consumer characteristics highlight the need for accessible policy interventions that support uptake of healthy eating efforts across populations to avoid exacerbating nutrition-related disparities. Tools such as the FoodProK can be used to evaluate the impact of policies targeting nutrition knowledge across contexts.

Indexed as

DietFoodAdolescentAdultDiet, HealthyFemaleHumansNutritional StatusNutrition PolicyUnited StatesFood processing knowledgeFunctional knowledge testInternationalNutrition knowledge

Identifiers

PMID36922823
PMCPMC10018957
OpenAlexW4327675361

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read103
measurements read11
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.