ArticlePublic health nutrition2018
Sociodemographic, anthropometric and behavioural risk factors for ultra-processed food consumption in a sample of 2-9-year-olds in Brazil.
Article in Public health nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Association between Sociodemographic Factors and Dietary Patterns in Children Under 24 Months of Age: A Systematic Review.Nutrients · 2019Pooled it
- Brazilian Children's Dietary Intake in Relation to Brazil's New Nutrition Guidelines: a Systematic Review.Current nutrition reports · 2019Pooled it
- Pooled it
- Ultra-processed foods and early childhood caries in 0-3-year-olds enrolled at Primary Healthcare Centers in Southern Brazil.Public health nutrition · 2021Trial
- Unhealthy Diets, Unhealthy Futures: How Modern Eating Patterns Endanger Maternal and Offspring Health.Nutrients · 2026Review
- Prenatal and postnatal maternal obesity and their associations with child nutrition and weight outcomes: A systematic review.Reviews in endocrine & metabolic disorders · 2026Review
- Multilevel predictors of ultra-processed food intake in Canadian preschoolers.Communications medicine · 2026Article
- Characteristics associated with dietary patterns in Brazilian children under two years of age.Revista de saude publica · 2023Article
- Early consumption of ultra-processed foods among children under 2 years old in Brazil.Public health nutrition · 2021Article
- Consumption of ultra-processed foods at 11, 22 and 30 years at the 2004, 1993 and 1982 Pelotas Birth Cohorts.Public health nutrition · 2021Article
- Food insecurity is associated with lower adherence to the Mediterranean dietary pattern among Lebanese adolescents: a cross-sectional national study.European journal of nutrition · 2020Article
- Socio-economic characteristics, acid drinking patterns and gastric alterations associated with erosive tooth wear in children: a cross-sectional study.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2020Article
- Feeding practices of low birth weight Brazilian infants and associated factors.Revista de saude publica · 2020Article
- Relationships between parent feeding behaviors and parent and child characteristics in Brazilian preschoolers: a cross-sectional study.BMC public health · 2018Article
Corrections and comments
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Authors and funding
6 authors.
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Abstract
objectiveThe present study aimed to identify food patterns among 2-9-year-olds and investigate sociodemographic, anthropometric and behavioural predictors of less healthy dietary patterns.
designCross-sectional study. Parents of 2-9-year-olds completed an FFQ and factor analysis was applied to identify dietary patterns. Parents also completed questionnaires assessing sociodemographic, anthropometric and behavioural characteristics of parents and children, including parental feeding practices.
settingParticipants were recruited from private schools of Campinas and São Paulo, SP, Brazil, between April and June 2014. SUBJECTS: Parents of 2-9-year-olds (n 929).
resultsTwo dietary patterns emerged: 'traditional food' and 'ultra-processed food'. Lower maternal education (OR=2·05, P=0·010) and higher maternal weight status (OR=1·43, P=0·044) were associated with a greater likelihood of the ultra-processed food pattern. Lower perceived parental responsibility for adequacy of food group intake (OR=2·41, P=0·020), and lower scores on the parental feeding practices of 'Healthy Eating Guidance' (OR=1·83, P<0·001) and 'Monitoring' (OR=2·52, P<0·001), were also associated with the presence of this pattern, as was higher child's screen use during mealtimes (OR=1·61, P=0·004).
conclusionsThe present study is the first to evaluate associations between less healthy dietary patterns of Brazilian 2-9-year-olds and parental feeding practices. Our findings highlight sociodemographic, anthropometric and behavioural factors within families that could be used to target tailored policies to at-risk populations.
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