The evaluation of food consumption in childhood is essential to help understand the effect of food choices on health. The objective of this study was to conduct a systematic review of studies that identified the dietary patterns in schoolchildren (7–10 years old) and their associated factors. Observational studies published in the last ten years were searched in the databases BVS (Virtual Health Library), Embase, PubMed, Scopus, and Web of Science. The Newcastle Ottawa Scale was adopted to evaluate the articles’ quality. The studies covered schoolchildren, children, and adolescents as part of the sample. We selected 16 studies, 75% of which were considered good/very good and seven mentioned three food patterns. A dietary pattern considered unhealthy was identified in 93.75% of the studies, having as associated factors to its consumption: higher screen time, low bone mass, gain of weight and fat in children, and meal skipping. The children who usually had breakfast showed greater adherence to the dietary pattern consisting of healthier foods. The children’s dietary patterns were related to their behavior, nutritional status, and family environment habits. Food and nutrition education’s effective actions, as well as the regularization of the marketing of ultra-processed foods, must be stimulated and inserted in public policies as a way to promote and protect children’s health.

This study aimed to investigate the association between child development, daily habits, and ultra-processed food consumption with screen exposure in 4-year-old children. A cross-sectional study was conducted using a questionnaire that included sociodemographic data, the child’s daily habits, and screenings for child development and eating habits. The daily screen exposure time (cell phone, computer, television, and/or tablet) was measured in minutes and classified as inadequate if >60 min. We conducted bivariate analyses and a generalized linear model. Overall, 362 caregivers–children pairs were investigated. The average screen time per child was 120 min (IQR: 120), and most of the children (71%) showed inadequate screen time for the age group. The longest screen time was associated with the lowest score in child development (β = −0.03; p = 0.01), an increased habit of eating in front of screens (β = 0.34; p < 0.001), and the highest score of ultra-processed foods (UPFs) (β = 0.05; p = 0.001). The sample showed a high prevalence of inadequate screen time, and this has been associated with the lowest score in child development, an increased habit of eating in front of screens, and the highest score of UPFs.

Objective: This study aimed to assess the association between ultra-processed foods (UPF) consumption and some lifestyle factors during pregnancy and the baby’s anthropometric measurements at birth. Methods: Cross-sectional study conducted with immediate postpartum women and their babies. Food consumption during pregnancy was assessed retrospectively by a semi-quantitative food frequency questionnaire, and the baby’s anthropometric measurements were obtained from the medical records. The percentual of energy from UPF was estimated, categorized in tertiles, and associated with the baby’s anthropometric measurements using multinomial logistic regression, adjusting by maternal characteristics (per capita income, maternal age, gestational weight gain, parity, physical activity, and number of prenatal consultations). Results: A total of 626 immediate postpartum women and their babies were evaluated. The mean percentual of energy from UPF consumption during pregnancy was 30.56%. Before adjustment, there was a greater chance of insufficient birth weight among babies of immediate postpartum women in the highest tertile of UPF consumption (OR 1.72; 95% CI 1.09–2.70; p = 0.020); however, such an association was not significant in the adjusted analyses. Conclusions: No association between UPF consumption during pregnancy and baby’s anthropometric measurements at birth was observed, probably due to the multifactorial nature of anthropometry and the interference of sociodemographic, gestational, and environmental factors in the baby’s health outcomes.

Background and Objective: Maternal food intake during pregnancy can substantially interfere in the baby’s anthropometric measurements at birth. Our objective was to perform a systematic review that investigate the influence of nutrient intake via food during pregnancy on the baby’s anthropometric measurements at birth. Methods: A search was performed without time limits on CINAHL, Embase, PubMed, Scopus and Web of Science databases and manual on studies references. All nutrients and baby’s anthropometric measurements at birth were included as descriptors. Results: Thirty articles were included, the majority of prospective cohort studies, with 15.39 (2.36) quality points (maximum value: 22). Thirty-six results of associations were found, of which 17 studies had direct associations between nutrient intake and birth outcomes. Inverse associations were identified in 8 studies and 11 articles showed no significant associations in all analyses. Maternal food intake of vitamin C, calcium and magnesium during pregnancy seems to have a positive influence on the baby's birth weight, while carbohydrates intake have an inverse association with the same outcome. Conclusion: It is suggested that vitamin C, calcium, magnesium and carbohydrates influence on baby’s birth weight. So, these specific nutrients need more attention to the consumption, in addition to carried out new studies, with robust methodologies for measuring maternal food consumption and considering the several factors that can interfere in this assessment. Registration: This review has been registered to the PROSPERO (International prospective register of systematic reviews) (ID: CRD42020167889).

Objectives: to perform a systematic review of studies that investigated the influence of ultra-processed foods (UPF) consumption during pregnancy on child’s anthropometric parameters up to one year of life. Methods: cohort and cross-sectional studies were researched in BVS, Cinahl, Cochrane, Embase, Pubmed, Scopus and Web of Science databases until March 2020, and the main descriptors were: “Pregnant Women”, “Ultra-processed foods”, “Birth Weight”, “Smallfor Gestational Age”, “Infant”, “Newborn”. Results: seventeen articles were considered eligible and evaluated the associations between the exposures: ultra-processed dietary patterns; soft drinks, sugar-sweetened beverages, artificially sweetened beverages; fast food, junk food, sweets, snacks and the outcomes: birth weight and its classifications; length and head circumference at birth; birth weight adjustments according to gestational age; weight/age, length/age, body mass index/age and weight/length indices. The results showed: 36 non-significant associations between the exposures and the outcomes; 13 direct associations (outcomes versus ultraprocessed dietary patterns, soft drinks, artificially sweetened beverages, sweets, junk food) and 5 inverse associations (outcomes versus ultra-processed dietary patterns, soft drinks). Conclusions: most of the evaluated literature did not demonstrate the influence of UPF consumption during pregnancy on the newborn’s anthropometric measurements up to one year of life and denoted a smaller number of direct and inverse associations between the exposures and the outcomes.