Evidence map›Paper›PMID 34836107›Full record

ArticleNutrients2021

Dietary Patterns in Portuguese Children and Adolescent Population: The UPPER Project.

Milena Miranda de Moraes, Bruno Oliveira, Cláudia Afonso, Cristina Santos, Duarte Torres, Carla Lopes, Renata Costa de Miranda, Fernanda Rauber, Luiza Antoniazzi, Renata Bertazzi Levy and 1 more

Abstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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.

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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

11 authors.

Milena Miranda de MoraesFaculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal.ORCID 0000-0002-2652-4051
Bruno OliveiraFaculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal.ORCID 0000-0002-7710-4284
Cláudia AfonsoFaculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal.ORCID 0000-0002-3837-3481
Cristina SantosFaculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal.
Duarte TorresFaculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal.ORCID 0000-0001-8960-2160
Carla LopesAssociated Laboratory ITR, Laboratory for Integrative and Translational Research in Population Health, Institute of Public Health, University of Porto, 4050-600 Porto, Portugal.ORCID 0000-0003-1524-852X
Renata Costa de MirandaCenter for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo 01246-90, Brazil.
Fernanda RauberCenter for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo 01246-90, Brazil.
Luiza AntoniazziCenter for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo 01246-90, Brazil.
Renata Bertazzi LevyCenter for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo 01246-90, Brazil.ORCID 0000-0001-5388-7002
Sara RodriguesFaculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal.

Funding

Fundação para a Ciência e Tecnologia POCI-01-0145-FEDER-032090São Paulo Research Foundation 2018/07391-9São Paulo Research Foundation 2019/05972-7
6 · The paper itself

Abstract

Considering the nature, extent, and purpose of food processing, this study aims to identify dietary patterns (DPs) and their associations with sociodemographic factors and diet quality in Portuguese children and adolescents. Cross-sectional data were obtained from the National Food, Nutrition and Physical Activity Survey (2015-2016) of the Portuguese population. Dietary intake was obtained from two non-consecutive days and food items were classified according to the NOVA system. The proportion (in grams) of foods in the total daily diet was considered to identify DPs by latent class analysis, with age and sex as concomitant variables. Associations of DPs with sociodemographic characteristics were assessed using multinomial logistic regression. Linear regressions adjusted by sociodemographic characteristics tested associations of DPs with diet quality. DPs identified were: "Unhealthy" (higher sugar-sweetened beverages, industrial breads, and sausages intake), "Traditional" (higher vegetables, fish, olive oil, breads, ultra-processed yogurts, and sausages intake), and "Dairy" (higher intake of milk, yogurt, and milk-based beverages). "Unhealthy" was associated with older ages and lower intake of dietary fibre and vitamins and the highest free sugars and ultra-processed foods (UPF), although all DPs presented significant consumption of UPF. These findings should be considered for the design of food-based interventions and school-feeding policies in Portugal.

Indexed as

Feeding BehaviorAdolescentChildChild, PreschoolCross-Sectional StudiesDietFast FoodsFemaleFood HandlingHumansInfantMaleNutrition SurveysPortugalSociodemographic Factorsdietary patternsdiet qualityfeeding behaviourlatent class analysisultra-processed foods

Identifiers

PMID34836107
PMCPMC8622610

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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.