Evidence map›Paper›PMID 39089133›Full record

ArticleNutrition (Burbank, Los Angeles County, Calif.)2024

Mental health from childhood to adolescence predicts excessive weight and body composition at 18 years.

Iná S Santos, Isabel O Bierhals, Luciana Tovo-Rodrigues, Aluísio Jd Barros, Tiago Munhoz, Marina Xavier Carpena, Alicia Matijasevich

Abstract read
In one paragraph

Article in Nutrition (Burbank, Los Angeles County, Calif.), 2024. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Iná S SantosPost-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas. Rio Grande do Sul, Brazil.
Isabel O BierhalsPost-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas. Rio Grande do Sul, Brazil. Electronic address: isabelbierhals@hotmail.com.
Luciana Tovo-RodriguesPost-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas. Rio Grande do Sul, Brazil.
Aluísio Jd BarrosPost-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas. Rio Grande do Sul, Brazil.
Tiago MunhozPost-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas. Rio Grande do Sul, Brazil; School of Psychology, Federal University of Pelotas, Pelotas. Rio Grande do Sul, Brazil.
Marina Xavier CarpenaPost-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas. Rio Grande do Sul, Brazil.
Alicia MatijasevichPost-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas. Rio Grande do Sul, Brazil; Departamento de Medicina Preventiva, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil.

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectiveTo investigate the association of mental health in childhood and adolescence with four outcomes at 18 years: ultra-processed food (UPF) consumption, body mass index (BMI), excessive weight (EW), and body composition, including fat mass (FM) and fat free mass (FFM) in kg, FM index (FMI) and FFM index (FFMI) in kg/m

methodsCohort study in which The Development and Well-Being Assessment (DAWBA) (6 and 11 years) and the MINI International Neuropsychiatric Interview (MINI) (18 years) provided information on internalizing (INT), externalizing (EXT) and any mental disorder (ANY). The exposure was classified in: "never", "at 6 and/or 11 years", "at 18 years only" and "at 6, 11, and 18 years". Linear and logistic regression were run. All analyses were stratified by sex.

resultsA total of 2722 participants were analyzed. At 18 years, female with EXT disorders at 6 and/or 11 years presented higher BMI (β: 1.70; 0.18-3.23), FM (β: 4.74; 1.42-8.06), and FMI (β: 1.53; 0.28-2.79) than those who never had. The odds of EW at 18 years was also higher in females with EXT disorders at 6 and/or 11 years (OR: 3.39; 1.56-7.36) and at the three time points (OR: 7.08; 1.69-29.59). Males with EXT disorders at 6 and/or 11 years presented higher FM (β: 4.45; 1.85-7.06) and FMI (β: 1.47; 0.63-2.31).

conclusionsAmong children and adolescents showing symptoms of EXT disorders, weight should be monitored carefully, thus ultimately contributing to reduce the burden of EW in adolescence.

Indexed as

Body CompositionBody Mass IndexMental HealthAdolescentChildCohort StudiesFemaleHumansMaleMental DisordersPediatric ObesityBody compositionBody mass indexMental healthUltra-processed foods, Cohort studies

Identifiers

PMID39089133
PMCPMC11413523

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.