ArticleNutrients2021
Dietary Patterns in Portuguese Children and Adolescent Population: The UPPER Project.
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.
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.
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.
Who cites it
8 citing papers in PubMed.
- Integrating Mediterranean Diet Education and Sustainability in Primary Schools: A Two-Season Community-Based Intervention in Portugal.Nutrients · 2026Article
- Effect of breastfeeding on dietary patterns in early childhood: the CoAlHaS study.European journal of nutrition · 2026Article
- Adaptation and Validation of the Nova-UPF Screener for the Assessment of Ultra-Processed Food Intake in Portuguese Adults.Nutrients · 2025Article
- Dietary patterns identified by latent class analysis in relation to the risk of cardiovascular disease: Tehran lipid and glucose study.Journal of health, population, and nutrition · 2025Article
- Unhealthy Ultra-Processed Food Consumption in Children and Adolescents Living in the Mediterranean Area: The DELICIOUS Project.International journal of public health · 2025Article
- Dietary patterns are associated with adolescent growth in China: a latent class analysis.Frontiers in nutrition · 2025Article
- Neurodevelopment and Dietary Intake in Toddlers-A Cross-Sectional Study from the Healthy Children 2021 Project.Nutrients · 2023Article
- Association between Socioeconomic Factors, Food Insecurity, and Dietary Patterns of Adolescents: A Latent Class Analysis.Nutrients · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.