Evidence map›Paper›PMID 37798558›Full record

ArticleEuropean journal of nutrition2024

Ultra-processed foods, dietary diversity and micronutrient intakes in the Australian population.

Zeinab Houshialsadat, Gustavo Cediel, Isabela Sattamini, Gyorgy Scrinis, Priscila Machado

Open access · hybridAbstract read
In one paragraph

Article in European journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Ultra-processed food supply in hospitals: A cross-sectional analysis of Australian hospitals using cook fresh foodservices.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
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

5 authors at 5 institutions in 5 countries.

Zeinab HoushialsadatSchool of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.
Gustavo CedielEscuela de Nutrición y Dietética, Universidad de Antioquia, Medellín, Colombia.
Isabela SattaminiDepartment of Noncommunicable Diseases and Mental Health, Pan-American Health Organization/World Health Organization, Washington, DC, USA.
Gyorgy ScrinisSchool of Agriculture and Food, University of Melbourne, Melbourne, Australia.
Priscila MachadoInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia. p.machado@deakin.edu.au.ORCID http://orcid.org/0000-0003-4607-5094
Deakin University · AUThe University of Melbourne · AUUniversidad de Antioquia · COUniversity College Dublin · IEWorld Health Organization Regional Office for the Americas · US

Funding

World Health Organization 001
6 · The paper itself

Abstract

purposeThis cross-sectional study aimed to assess the association between ultra-processed foods consumption and dietary diversity and micronutrient intake in Australia.

methodsAs part of the Nutrition and Physical Activity Survey (2011-2012), 12,153 participants aged 2 years and above were recruited and interviewed. Dietary intake data were collected by two 24-h dietary recalls using the Automated Multiple-Pass Method. The NOVA classification system was used to group the food items based on the extent and purpose of industrial food processing. The mean micronutrient contents were calculated for the total diet, and for two diet fractions; one made up entirely of ultra-processed foods (NOVA group 4) and the other consisting of all non-ultra-processed foods (aggregation of NOVA food groups 1 to 3). The mean micronutrient content in the ultra-processed and non-ultra-processed food diet fractions were compared. Dietary diversity was measured using the ten Food Group Indicators (FGI) of the Food and Agriculture Organization and was defined as the sum number of FGIs per individual. Multiple linear regression models were used to assess the association between the quintiles of energy contribution of ultra-processed foods, dietary diversity, and micronutrient intake.

resultsA negative association was found between quintiles of energy contribution of ultra-processed foods and dietary diversity (β = - 0.43; p < 0.001). The overall micronutrient content was lower in the diet fraction dominated by ultra-processed foods compared to the non-ultra-processed food diet fraction in the study population. The dietary contents of vitamins A, E, C, B9, B12, zinc, calcium, iron, magnesium, potassium, and phosphorus were reduced significantly with increased consumption of ultra-processed foods, even after adjustment for sociodemographic factors and dietary diversity.

conclusionThe quintiles of energy contribution of ultra-processed foods were negatively associated with dietary diversity and micronutrient intake in Australia.

Indexed as

Food, ProcessedTrace ElementsAustraliaCross-Sectional StudiesDietEatingEnergy IntakeFast FoodsFood HandlingHumansMicronutrientsNutrition SurveysMicronutrientsTrace ElementsAustraliaDietary diversityFood consumptionMicronutrientUltra-processed food

Identifiers

PMID37798558
PMCPMC10798929
OpenAlexW4387378804

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.