Evidence map›Paper›PMID 36414867›Full record

ArticleEuropean journal of nutrition2023

Ultra-processed food consumption deteriorates the profile of micronutrients consumed by Portuguese adults and elderly: the UPPER project.

Luiza Antoniazzi, Renata Costa de Miranda, Fernanda Rauber, Milena Miranda de Moraes, Cláudia Afonso, Cristina Santos, Carla Lopes, Sara Rodrigues, Renata Bertazzi Levy, UPPER Group

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In one paragraph

Article in European journal of nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

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

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
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  8. 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

10 authors at 2 institutions in 3 countries.

Luiza AntoniazziCenter for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil. luiza.antoniazzi@hotmail.com.ORCID http://orcid.org/0000-0001-9340-495X
Renata Costa de MirandaCenter for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0003-4984-1938
Fernanda RauberCenter for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0001-9693-7954
Milena Miranda de MoraesFaculty of Nutrition and Food Sciences, University of Porto, Porto, Portugal.ORCID http://orcid.org/0000-0002-2652-4051
Cláudia AfonsoFaculty of Nutrition and Food Sciences, University of Porto, Porto, Portugal.ORCID http://orcid.org/0000-0002-3837-3481
Cristina SantosFaculty of Nutrition and Food Sciences, University of Porto, Porto, Portugal.ORCID http://orcid.org/0000-0002-9041-4850
Carla LopesAssociated Laboratory ITR, Laboratory for Integrative and Translational Research in Population Health, Institute of Public Health, University of Porto, Porto, Portugal.ORCID http://orcid.org/0000-0003-1524-852X
Sara RodriguesFaculty of Nutrition and Food Sciences, University of Porto, Porto, Portugal.ORCID http://orcid.org/0000-0003-0647-5018
Renata Bertazzi LevyCenter for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0001-5388-7002
UPPER Group
Universidade do Porto · PTUniversidade de São Paulo · BR

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 2018/07391-9Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 2019/05972-7Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 2020/15788-6
6 · The paper itself

Abstract

purposeThis study aims to describe micronutrient intake according to food processing degree and to investigate the association between the dietary share of ultra-processed foods and micronutrient inadequacies in a representative sample of Portuguese adult and elderly individuals.

methodsCross-sectional data from the National Food, Nutrition and Physical Activity Survey (2015/2016) were used. Food consumption data were collected through two 24-h food recalls, and food items were classified according to the NOVA system. Linear regression models were used to assess the association between the micronutrient density and the quintiles of ultra-processed food consumption-crude and adjusted. Negative Binomial regressions were performed to measure the prevalence ratio of micronutrient inadequacy according to ultra-processed food quintiles.

resultsFor adults, all evaluated vitamins had significantly lower content in the fraction of ultra-processed foods compared to unprocessed or minimally processed foods, except vitamin B2. For the elderly, out of ten evaluated vitamins, seven presented significantly less content in ultra-processed foods compared to non-processed ones. The higher energy contribution of ultra-processed foods in adults was associated with a lower density of vitamins and minerals. This association was not observed in the elderly. For adults, compared with the first quintile of ultra-processed food consumption, the fifth quintile was positively associated with inadequate intakes of vitamin B6 (PR 1.51), vitamin C (PR 1.32), folate (PR 1.14), magnesium (PR 1.21), zinc (PR 1.33), and potassium (PR 1.19).

conclusionOur results corroborate the importance of public health actions that promote a reduction in the consumption of ultra-processed foods.

Indexed as

Food, ProcessedTrace ElementsAdultAgedCross-Sectional StudiesDietEnergy IntakeFast FoodsFood HandlingHumansMicronutrientsPortugalVitaminsMicronutrientsTrace ElementsVitaminsDiet qualityFood processingMicronutrientsPortugalUltra-processed foods

Identifiers

PMID36414867
OpenAlexW4309648211

What OpenQuestion holds

Textmetadata
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.