Evidence map›Paper›PMID 34836373›Full record

ArticleNutrients2021

An Ultra-Processed Food Dietary Pattern Is Associated with Lower Diet Quality in Portuguese Adults and the Elderly: 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 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline 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

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 MirandaDepartment of Nutrition, Institute of Health Sciences, Federal University of Triângulo Mineiro, Uberaba 38025-440, Brazil.
Fernanda RauberCenter for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo 01246-90, Brazil.ORCID 0000-0001-9693-7954
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

This study aimed to identify dietary patterns (DPs) and their associations with sociodemographic factors and diet quality in Portuguese adults and the elderly. Cross-sectional data were obtained from the National Food, Nutrition and Physical Activity Survey (2015-2016), with two non-consecutive dietary 24 h recalls. Food items were classified according to the NOVA system and its proportion (in grams) in the total daily diet was considered to identify DPs by latent class analysis, using age and sex as concomitant variables. Multinomial logistic and linear regressions were performed to test associations of DPs with sociodemographic characteristics and diet quality, respectively. Three DPs were identified: "Traditional" (higher vegetables, fish, olive oil, breads, beer and wine intake), "Unhealthy" (higher pasta, sugar-sweetened beverages, confectionery and sausages intake) and "Diet concerns" (lower intake of cereals, red meat, sugar-sweetened and alcoholic beverages). "Unhealthy" was associated with being younger and lower intake of dietary fiber and vitamins and the highest free sugars and ultra-processed foods (UPF). "Diet concerns" was associated with being female and a more favorable nutrient profile, but both DPs presented a higher contribution of UPF than the "Traditional" DP. These findings should be considered for the design of food-based interventions and public policies for these age groups in Portugal.

Indexed as

Fast FoodsFeeding BehaviorFood HandlingAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesDietDiet SurveysFemaleHumansMaleMiddle AgedNutritional StatusPortugaldietary patternsdiet qualityfeeding behaviorlatent class analysisultra-processed foods

Identifiers

PMID34836373
PMCPMC8619325

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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.