Vanessa Cardozo Mendes Elias

Objective To describe in detail the methodological aspects used in the assessment of food consumption of pregnant women within the Multicenter Study of Iodine Deficiency to streamline the reproducibility of this work and other studies.

Objectives: to assess the association between pregnant women’s consumption of ultra-processed foods and newborn body weight. Methods: prospective study with pregnant women (n=214) selected from all Basic Health Units in the city of Pinhais, Paraná. Socioeconomic, demographic, and health data were collected. Food consumption data were assessed using a 24-hour dietary recall and tabulated with GloboDiet software. Daily relative energy intake of ultra-processed food was estimated and logistic regression analysis was utilized. The infuence of covariates on the association analysis was also explored (e.g., income and education). Results: ultra-processed foods contributed to 26.9% of pregnant women’s total energy intake. About 5.7% of newborns were classifed as small-for-gestational-age and 10.7% as large-for-gestational-age. A borderline statistically signifcant association was observed between large-for-gestational-age newborn weight and maternal consumption of ultra-processed foods (OR= 1.027; p=0.048). Additionally, family income was associated with the consumption of ultra-processed foods (OR= 0.144; p=0.008). With each additional 1% consumption of ultra-processed foods, mothers’ likelihood of having large-for-gestational-age babies increased by about 2.7%. Conclusions: the study reveals a trend of positive association between the weight of large-for-gestational-age newborns and the consumption of ultra-processed foods by pregnant women, but not for small-for-gestational-age children.

Resumo Objetivos: avaliar a associação entre o consumo de alimentos ultraprocessados por gestantes e o peso de recém-nascidos. Métodos: estudo prospectivo com gestantes (n=214) selecionadas em Unidades Básicas de Saúde em Pinhais, Paraná. Dados socioeconômicos, demográfcos e de saúde foram coletados. Dados de consumo alimentar foram coletados por recordatório de 24-horas físico e entrados no software GloboDiet. O consumo diário relativo de energia proveniente de alimentos ultraprocessados foi estimado e a análise de regressão logística foi utilizada, considerando covariáveis como renda familiar e escolaridade. Resultados: o consumo de alimentos ultraprocessados pelas gestantes representou 26,9% da energia total. Cerca de 5,7% de recém-nascidos foram classifcados como pequenos para idade gestacional (PIG) e 10,7% como grandes para idade gestacional (GIG). Foi observada uma associação estatisticamente signifcativa limítrofe entre o peso dos recém-nascidos GIG e o consumo materno de alimentos ultraprocessados (OR= 1,027; p=0,048). Além disso, a renda familiar esteve associada com o consumo de alimentos ultraprocessados (OR=0,144; p=0,008). A cada 1% adicional de consumo de alimentos ultraprocessados, a probabilidade de as mães terem recém-nascidos GIG aumentou cerca de 2,7%. Conclusões: o estudo revela uma tendência de associação positiva entre o peso de recém-nascidos GIG e o consumo de alimentos ultraprocessados por mulheres grávidas, mas não para crianças PIG.

Although digital photos have the potential to improve the precision of reported portions in dietary assessment, there are few studies investigating its accuracy in comparison to printed photos. The aim of this study was to evaluate the perception of adults in quantifying food portion sizes using printed and digital photos, displayed on computer-screens and tablets. In total, 1165 evaluations were performed for 60 photos of portion sizes in Brazil. Each participant (n = 58) attended two sessions in the study center, with an interval of at least one week. In each session, twelve food portions were prepared and randomly evaluated by each participant in its printed and digital forms. The mean error (difference between the estimated and true portions) was not significantly different between the printed photos (2.1 g ± 47.2) and the digital ones (−6.4 g ± 53.7). The agreement on using the printed and digital photos was 91% and 90%, respectively. Furthermore, the use of the tablet was more prone to underestimation when compared to printed and computer-screen photos (p < 0.001). Overall, participants did not present major difficulties in perceiving the portion sizes using the printed and digital photos, but the use of tablets led to less accurate results, indicating that this needs to be further evaluated.