Evidence map›Paper›PMID 35034166›Full record

ArticleEuropean journal of nutrition2022

Evaluating intake levels of nutrients linked to non-communicable diseases in Australia using the novel combination of food processing and nutrient profiling metrics of the PAHO Nutrient Profile Model.

Priscila Machado, Gustavo Cediel, Julie Woods, Phillip Baker, Sarah Dickie, Fabio S Gomes, Gyorgy Scrinis, Mark Lawrence

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In one paragraph

Article in European journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 4 institutions in 3 countries.

Priscila MachadoInstitute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, 3220, Australia. p.machado@deakin.edu.au.ORCID http://orcid.org/0000-0003-4607-5094
Gustavo CedielUniversity of Antioquia, ANT, Calle 70 No. 52-21, Medellín, Colombia.ORCID http://orcid.org/0000-0001-9968-2408
Julie WoodsInstitute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, 3220, Australia.ORCID http://orcid.org/0000-0002-2717-310X
Phillip BakerInstitute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, 3220, Australia.ORCID http://orcid.org/0000-0002-0802-2349
Sarah DickieInstitute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, 3220, Australia.ORCID http://orcid.org/0000-0003-3526-3516
Fabio S GomesPan American Health Organization, 525 23rd St NW, Washington, DC, 20037, USA.ORCID http://orcid.org/0000-0003-4997-4642
Gyorgy ScrinisSchool of Agriculture and Food, The University of Melbourne, Parkville, Melbourne, 3010, Australia.ORCID http://orcid.org/0000-0003-3897-4778
Mark LawrenceInstitute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, 3220, Australia.ORCID http://orcid.org/0000-0001-6899-3983
Deakin University · AUThe University of Melbourne · AUUniversidad de Antioquia · COWorld Health Organization Regional Office for the Americas · US

Funding

Australian Research Council DP190101323
6 · The paper itself

Abstract

purposeTo investigate intake levels of nutrients linked to non-communicable diseases in Australia using the novel combination of food processing and nutrient profiling metrics of the PAHO Nutrient Profile Model.

methodsDietary intakes of 12,153 participants from the Australian Health Survey (2011-12) aged 2 + years were evaluated. Food items reported during a 24 h recall were classified using the NOVA system. The Pan-American Health Organization Nutrient Profile Model (PAHO NPM) was applied to identify processed and ultra-processed products with excessive content of critical nutrients. Differences in mean intakes and prevalence of excessive intakes of critical nutrients for groups of the population whose diets were made up of products with and without excessive content in critical nutrients were examined.

resultsThe majority of Australians consumed daily at least three processed and ultra-processed products identified as excessive in critical nutrients according to the PAHO NPM. Individuals consuming these products had higher intakes of free sugars (β = 8.9), total fats (β = 11.0), saturated fats (β = 4.6), trans fats (β = 0.2), and sodium (β = 1788 for adolescents and adults; β = 1769 for children 5-10 years; β = 1319 for children aged < 5 years) (p ≤ 0.001 for all nutrients) than individuals not consuming these foods. The prevalence of excessive intake of all critical nutrients also followed the same trend.

conclusionThe PAHO NPM has shown to be a relevant tool to predict intake levels of nutrients linked to non-communicable diseases in Australia and, therefore, could be used to inform policy actions aimed at increasing the healthiness of food environments.

Indexed as

Noncommunicable DiseasesAdolescentAdultAustraliaChildDietEnergy IntakeFast FoodsFood HandlingHumansNutrientsNutritive ValuePan American Health OrganizationNutrientsFood processingFront-of-pack labelNOVANutrient profilingNutrition policyUltra-processed food

Identifiers

PMID35034166
OpenAlexW4205224814

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.