Validation of a new software eAT24 used to assess dietary intake in the adult Portuguese population

Autor: Vânia Magalhães, Milton Severo, Ana Goios, Carla Lopes, Amanda J. Lloyd, Duarte Torres
Přispěvatelé: Instituto de Saúde Pública da Universidade do Porto
Rok vydání: 2020
Předmět:
Zdroj: Public Health Nutr
ISSN: 1475-2727
1368-9800
DOI: 10.1017/s1368980020001044
Popis: Objective: The 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). Design: We 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. Setting: Sub-sample from the Portuguese IAN-AF sampling frame. Participants: Ninety-five adults (men and women) aged 18-84 years. Results: The 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). Conclusions: The new software eAT24 performed well in estimating protein and K intakes, but lesser so in estimating Na intake, using two non-consecutive 24-HDR. The IAN-AF 2015–2016 was developed by a consortium: Carla Lopes, Andreia Oliveira, Milton Severo, Faculty of Medicine, University of Porto; Duarte Torres, Sara Rodrigues, Faculty of Nutrition and Food Sciences, University of Porto; Elisabete Ramos, Sofia Vilela, EPIUnit, Institute of Public Health, University of Porto; Sofia Guiomar, Luísa Oliveira, National Health Institute Doutor Ricardo Jorge; Violeta Alarcão, Paulo Nicola, Institute of Preventive Medicine and Public Health, Faculty of Medicine, University of Lisbon; Jorge Mota, CIAFEL, Faculty of Sports, University of Porto; Pedro Teixeira, Faculty of Human Kinetics, CIPER, University of Lisbon; Simão Soares, SilicoLife, Lda, Portugal; Lene Frost Andersen, Faculty of Medicine, University of Oslo. The current study had institutional support from the General Directorate of Health, the Regional Health Administration Departments, the Central Administration of the Health System and from the European Food Safety Authority (CFT/EFSA/DCM/2012/01-C03). The researchers acknowledge all these institutions and persons involved in all phases of the survey, as well as participants. Financial support: The current study has received funding from the EEA Grants Program, Public Health Initiatives (PT06 – 000088SI3). The EEA Grant Program had no role in the design, analysis or writing of the current article.
Databáze: OpenAIRE
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