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

Góios, A.; Severo, Mílton; Lloyd, Amanda J.; Magalhães, Vânia; Lopes, Carla; Torres, Duarte

doi:10.1017/s1368980020001044

Cited by 21 publications

(9 citation statements)

References 53 publications

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“…When comparing data from the two 24 h recalls with a short FFQ for fruit and vegetables, also available for these participants, moderate Pearson correlation coefficients were found (fruits: rho = 0.54, 95% CI: 0.52-0.56; vegetables: rho = 0.33, 95% CI: 0.30-0.36; vegetable soup: rho = 0.41, 95% CI: 0.38-0.44). In addition, in a previous study, the accuracy of the eAT24 software to assess dietary intake was also measured against urinary biomarkers such as nitrogen, and potassium in a subsample of 94 subjects, suggesting that the software performed well in estimating protein and potassium intakes, by using two non-consecutive 24 h recalls [25].…”

Section: Dietary Patterns' Definitionmentioning

confidence: 90%

Application of a Latent Transition Model to Estimate the Usual Prevalence of Dietary Patterns

et al. 2020

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Background: This study aims to derive habitual dietary patterns of the Portuguese adult population by applying two methodological approaches: a latent class model and a latent transition model. The novel application of the latent transition model allows us to determine the day-to-day variability of diet and to calculate the usual prevalence of dietary patterns. Methods: Participants are from the National Food, Nutrition and Physical Activity Survey of the Portuguese population, 2015–2016 (2029 women; 1820 men, aged ≥18 years). Diet was collected by two 24 h dietary recalls (8–15 days apart). Dietary patterns were derived by: (1) a latent class model using the arithmetic mean of food weigh intake, with concomitant variables (age and sex); (2) a latent transition model allowing the transition from one pattern to another, with the same concomitant variables. Results: Six dietary patterns were identified by a latent class model. By using a latent transition model, three dietary patterns were identified: “In-transition to Western” (higher red meat and alcohol intake; followed by middle-aged men), “Western” (higher meats/eggs and energy-dense foods intake; followed by younger men), and “Traditional-Healthier” (higher intake of fruit, vegetables and fish, characteristic of older women). Most individuals followed the same pattern on both days, but around 26% transited between “In-transition to Western” and “Western”. The prevalence of the dietary patterns using a single recall day (40%, 27%, 33%, respectively) is different from the usual prevalence obtained by the latent transition probabilities (48%, 36%, 16%). Conclusion: Three dietary patterns, largely dependent on age and sex, were identified for the Portuguese adult population: “In-transition to Western” (48%), “Western” (36%), and “Traditional-Healthier” (16%), but 26% were transient between patterns. Dietary patterns are, in general, deviating from traditional habits.

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Section: Dietary Patterns' Definitionmentioning

confidence: 90%

Application of a Latent Transition Model to Estimate the Usual Prevalence of Dietary Patterns

et al. 2020

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“…The data collection followed the guidelines of the pan-European food consumption survey (EU-Menu), previously described ( 24 ) . The information was collected by the interviewer using face-to-face questionnaires and directly handled in the You eAt&Move, an e-platform specifically designed for the IAN-AF ( 23 , 25 ) .…”

Section: Methodsmentioning

confidence: 99%

“…As a quality control procedure, at the end of each interview, energy and nutrient estimates were briefly analysed by the interviewer. Dietary data collected using the eAT24 software were previously validated in a subsample using urinary biomarkers ( 25 ) – Pearson's correlation coefficients for protein, potassium and sodium were 0⋅33, 0⋅64 and 0⋅26, respectively.…”

Section: Methodsmentioning

confidence: 99%

Associated factors to the consumption of ultra-processed foods and its relation with dietary sources in Portugal

et al. 2021

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Ultra-processed foods (UPFs) are common worldwide and associated with poorer health outcomes. This work aimed to explore the UPF consumption associated factors and its main dietary sources, by sex, in Portugal. Participants from the National Food, Nutrition and Physical Activity Survey (IAN-AF) 2015–2016, aged 3–84 years, were included (n 5005). Dietary intake was assessed through two 1-day food diaries/24 h recalls. UPFs were identified using the NOVA classification. Associations were evaluated through linear regression models. Median UPF consumption was 257 g/d (10⋅6 % of total quantity; 23⋅8 % of total energy). Adolescents were those with higher consumption (490 g/d). Compared to adults, younger ages were positively associated with UPF consumption (e.g. adolescents ( $\hat{\beta }$ -females: 192, 95 % confidence interval (CI): 135, 249; $\hat{\beta }$ -males: 327, 95 % CI: 277, 377)). A lower educational level was associated with lower UPF consumption ( $\hat{\beta }$ -females: −63; 95 % CI: −91, −34; $\hat{\beta }$ -males: −68; 95 % CI: −124, −12). Also, a lower UPF consumption was observed in married males/couples compared to singles ( $\hat{\beta }$ : −48, 95 % CI: −96, −1). Furthermore, female current/former smokers were associated with a higher UPF consumption v. never smokers ( $\hat{\beta }$ : 79, 95 % CI: 41, 118; $\hat{\beta }$ : 42, 95 % CI: 8, 75, respectively). Main UPF sources were yoghurts, soft drinks and cold meats/sausages differing strongly by sex, age and education level. Yoghurts containing additives were the main contributors to the UPF consumption in children and adult females from all education (~20 %). Soft drinks were leaders in adolescents (females: 26⋅0 %; males: 31⋅6 %) and young male adults (24⋅4 %). Cold meats/sausages stood out among low-educated males (20⋅5 %). Males, younger age groups, higher education, children with less-educated parents, married/couple males and smoking females were positively associated with UPF consumption.

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“…The dietary information was collected using the "eAT24" module, a validated computerized tool to collect and process dietary data from 24-h recalls (or food diaries), based on the automated multiple-pass method for 24-h (5 steps) (Lopes et al, 2018b;Goios et al, 2020). All items, including beverages and dietary supplements, consumed during the previous 24 h were recorded per eating occasion and eating place, quantified and described as eaten.…”

Section: Dietary Assessment Methodsmentioning

confidence: 99%

Consumption of packaged foods by the Portuguese population: type of materials and its associated factors

Costa

Vilela

Correia

et al. 2020

BFJ

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PurposeThis study aims to evaluate in the Portuguese population the consumption of packaged food (PF) vs non-packaged food, the associated factors and to estimate the contribution of specific food groups to the use of packaging materials.Design/methodology/approachA representative sample of the population was evaluated within the National Food, Nutrition and Physical Activity Survey 2015–2016 (n = 5,811, 3 months-84y). Dietary data were collected by two non-consecutive food diaries (children) or 24-h recalls, using a software program which integrates FoodEx2—Food classification system. Food packaging materials were measured according to the amount of PF by linear regression. The results were analyzed considering the distribution of the Portuguese population.FindingsThe reported amount of PF was 1,530 g/person/day (57%), in which PF in plastic was the most reported (69%), mainly associated with “Non-alcoholic beverages” (38%). “Fruit and vegetables” food group is most frequently reported without a package (35%). Men consumed significantly more quantity of PF for all materials, excepted for “paperboard/paper”, but also significantly more quantity of food without a package (β = 135.3 [95%IC: 63.7; 207.0]). Children and adolescents consumed more quantity of PF in multilayer materials (β = 177.8 [95%IC: 154.8; 200.9]) and significantly less quantity of food without a package (β = −343.8 [95%IC: −408.9; −278.6]). Also, more educated people consume more food without a package (β = 106.9 [95%IC: 33.2; 180.7]).Originality/valueThe Portuguese population presents a large consumption of PF. Male population and adults were identified as groups with higher consumption of PF.

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

Cited by 21 publications

References 53 publications

Application of a Latent Transition Model to Estimate the Usual Prevalence of Dietary Patterns

Application of a Latent Transition Model to Estimate the Usual Prevalence of Dietary Patterns

Associated factors to the consumption of ultra-processed foods and its relation with dietary sources in Portugal

Consumption of packaged foods by the Portuguese population: type of materials and its associated factors

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