ArticlePublic health nutrition2020
Validation of a new software eAT24 used to assess dietary intake in the adult Portuguese population.
Article in Public health nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Estimating protein intake in sarcopenic older adults: combining food diaries and weighed powders versus 24-hour urine collections.The journal of nutrition, health & aging · 2025Trial
- Modelling EAT-lancet dietary patterns scenarios: effects on environmental and health metrics in children and adolescents.European journal of nutrition · 2026Article
- Development and validation of a multicriteria measure to assess the sustainability characteristics of diets: the Diet Sustainability Score.European journal of nutrition · 2025Article
- Health and environmental impacts of shifting to plant-based analogues: a risk-benefit assessment.European journal of nutrition · 2025Article
- Associations between the trajectories of free sugar intake and cardiometabolic risk markers during childhood: generation XXI birth cohort.European journal of nutrition · 2025Article
- Article
- Adherence to the EAT-Lancet Planetary Health Diet in Portugal and its associations with socioeconomic and lifestyle factors.European journal of nutrition · 2025Article
- Estimated dietary flavonoid intake and major food contributors in the Portuguese population: results from the national food, nutrition and physical activity survey (IAN-AF 2015-2016).The British journal of nutrition · 2025Article
- Patterns of food preparation in children and adult diets and their associations with demographic and socio-economic characteristics, health and nutritional status, physical activity, and diet quality.Journal of nutritional science · 2025Article
- Estimating sodium and potassium intakes in a Portuguese adult population: can first-morning void urine replace 24-hour urine samples?Journal of nutritional science · 2025Article
- Temporal patterns of energy intake and physical activity and cross-sectional associations with body weight status in children and adolescents: results from the Portuguese National Food, Nutrition and Physical Activity Survey 2015-2016.The British journal of nutrition · 2024Article
- Associated factors to the consumption of ultra-processed foods and its relation with dietary sources in Portugal.Journal of nutritional science · 2021Article
- Increasing Seaweed Consumption in the Netherlands and Portugal and the Consequences for the Intake of Iodine, Sodium, and Exposure to Chemical Contaminants: A Risk-Benefit Study.Frontiers in nutrition · 2021Article
- Application of a Latent Transition Model to Estimate the Usual Prevalence of Dietary Patterns.Nutrients · 2020Observational
- Challenges Associated With the Design and Deployment of Food Intake Urine Biomarker Technology for Assessment of Habitual Diet in Free-Living Individuals and Populations-A Perspective.Frontiers in nutrition · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of the current study was to evaluate the accuracy of the new software eAT24 used to assess dietary intake in the National Food, Nutrition and Physical Activity Survey (IAN-AF) against urinary biomarkers: N (nitrogen), K (potassium) and Na (sodium).
designWe conducted a cross-sectional study. Two non-consecutive 24-h dietary recalls (24-HDR) were applied, and a 24-h urine sample was collected. We examined differences between estimates from dietary and urine measures, Pearson correlation coefficients were calculated and the Bland-Altman plots were drawn. Multiple linear regression was used to evaluate the factors associated with the difference between estimates.
settingSub-sample from the Portuguese IAN-AF sampling frame.
participantsNinety-five adults (men and women) aged 18-84 years.
resultsThe estimated intake calculated using the dietary recall data was lower than that estimated from urinary excretion for the three biomarkers studied (protein 94·3 v. 100·4 g/d, K 3212 v. 3416 mg/d and Na 3489 v. 4003 mg/d). Considering 2 d of recall, the deattenuated correlation coefficients were 0·33, 0·64 and 0·26 for protein, K and Na, respectively. For protein, differences between dietary and urinary estimates varied according to BMI (β = -1·96, P = 0·017). The energy intake and 24-h urine volume were significantly associated with the difference between estimates for protein (β = 0·03, P < 0·001 and β = -0·02, P = 0·002, respectively), K (β = 0·71, P < 0·001 and β = -0·42, P = 0·040, respectively) and Na (β = 1·55, P < 0·001 and β = -0·81, P = 0·011, respectively).
conclusionsThe new software eAT24 performed well in estimating protein and K intakes, but lesser so in estimating Na intake, using two non-consecutive 24-HDR.
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.