ArticleCadernos de saude publica2026
Ultra-processed food consumption and body mass index from adolescence to early adulthood: multi-trajectory analysis using data from the 1993 Pelotas (Brazil) birth cohort.
Article in Cadernos de saude publica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Given the evidence linking ultra-processed food consumption to adverse health outcomes and the lack of longitudinal studies jointly addressing ultra-processed food consumption and body mass index (BMI), this study identified multi-trajectory groups from adolescence to early adulthood and described their demographic and behavioral characteristics. Data from the 1993 Pelotas (Brazil) birth cohort at ages 15, 18, and 22 (n = 2,890) were analyzed. Sex-stratified multi-trajectory groups of daily ultra-processed food consumption and BMI (z-scores for age and sex) were estimated using Group-Based Trajectory Modelling. Daily ultra-processed food consumption was defined as the number of ultra-processed food items consumed at least once per day. Sixteen NOVA-classified foods were grouped into six categories. Groups were described according to ultra-processed food types, poverty level, physical activity, screen time, smoking, alcohol use, and risk behaviors. Three multi-trajectory groups were identified: two with low ultra-processed food (group 1 and group 2) and one with increasing ultra-processed food intake (group 3). In group 1 (38.7% males; 34% females), BMI increased over time, while in group 2 (39.4% males; 44.5% females) it remained stable. In group 3 (21.9% males; 21.5% females), ultra-processed food consumption increased over time, particularly fast food, soft drinks, and processed meats, while BMI z-scores remained close to zero in males and increased in females. Risk behaviors increased over time in group 3, whereas poverty was less prevalent in group 1. Individuals in group 3 generally exhibited higher ultra-processed food intake and a greater prevalence of risk behaviors across follow-ups, despite BMI remaining within the normal range. Monitoring ultra-processed food consumption may help identify at-risk groups before excess weight becomes evident during adolescence and early adulthood.
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