Evidence map›Paper›PMID 38758555›Full record

ArticleJAMA network open2024

Ultraprocessed Food Consumption and Cardiometabolic Risk Factors in Children.

Nadine Khoury, María Ángeles Martínez, Tany E Garcidueñas-Fimbres, Belén Pastor-Villaescusa, Rosaura Leis, Sara de Las Heras-Delgado, María L Miguel-Berges, Santiago Navas-Carretero, Olga Portoles, Karla Alejandra Pérez-Vega and 13 more

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Nadine KhouryUniversitat Rovira i Virgili Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, ANUT-DSM group, Spain.
María Ángeles MartínezUniversitat Rovira i Virgili Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, ANUT-DSM group, Spain.
Tany E Garcidueñas-FimbresUniversitat Rovira i Virgili Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, ANUT-DSM group, Spain.
Belén Pastor-VillaescusaMetabolism and Investigation Unit, Maimónides Institute of Biomedicine Research of Córdoba, Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain.
Rosaura LeisConsorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Sara de Las Heras-DelgadoUniversitat Rovira i Virgili Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, ANUT-DSM group, Spain.
María L Miguel-BergesConsorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Santiago Navas-CarreteroConsorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Olga PortolesConsorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Karla Alejandra Pérez-VegaConsorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Jose Manuel Jurado-CastroConsorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Rocío Vázquez-CobelaConsorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Gisela MimbreroUniversitat Rovira i Virgili Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, ANUT-DSM group, Spain.
Raquel Andía HornoGrowth, Exercise, Nutrition and Development Research Group, University of Zaragoza, Spain.
J Alfredo MartínezConsorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Katherine Flores-RojasMetabolism and Investigation Unit, Maimónides Institute of Biomedicine Research of Córdoba, Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain.
Rosaura Picáns-LeisPediatric Nutrition Research Group, Health Research Institute of Santiago de Compostela, Unit of Investigation in Nutrition, Growth and Human Development of Galicia-Universidad de Santiago de Compostela, Santiago de Compostela, Spain.
Verónica LuqueInstitut d'Investigació Sanitària Pere Virgili, Reus, Spain.
Luis A MorenoConsorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Cristina Castro-ColladoMetabolism and Investigation Unit, Maimónides Institute of Biomedicine Research of Córdoba, Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain.
Mercedes Gil-CamposConsorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Jordi Salas-SalvadóUniversitat Rovira i Virgili Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, ANUT-DSM group, Spain.
Nancy BabioUniversitat Rovira i Virgili Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, ANUT-DSM group, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: High intake of ultraprocessed foods (UPFs) has been associated with higher cardiometabolic risk in adults; however, the evidence in children is limited. Objective: To investigate the association between UPF consumption and cardiometabolic risk factors in the Childhood Obesity Risk Assessment Longitudinal Study (CORALS). Design, Setting, and Participants: This baseline cross-sectional analysis was conducted using the data of CORALS participants recruited between March 22, 2019, and June 30, 2022. Preschool children (aged 3-6 years) were recruited from schools and centers in 7 cities in Spain. Inclusion criteria included informed consent signed by parents or caregivers and having a completed a set of questionnaires about the child's prenatal history at home. Exclusion criteria included low command of Spanish or unstable residence. Exposure: Energy-adjusted UPF consumption (in grams per day) from food frequency questionnaires and based on the NOVA food classification system. Main Outcomes and Measures: Age- and sex-specific z scores of adiposity parameters (body mass index [BMI], fat mass index, waist-to-height ratio, and waist circumference) and cardiometabolic parameters (diastolic and systolic blood pressure, fasting plasma glucose, homeostasis model assessment for insulin resistance, high-density and low-density lipoprotein cholesterol, and triglycerides) were estimated using linear regression models. Results: Of 1509 enrolled CORALS participants, 1426 (mean [SD] age, 5.8 [1.1] years; 698 boys [49.0%]) were included in this study. Mothers of children with high UPF consumption were younger, had a higher BMI, were more likely to have overweight or obesity, and had lower education levels and employment rates. Compared with participants in the lowest tertile of energy-adjusted UPF consumption, those in the highest tertile showed higher z scores of BMI (β coefficient, 0.20; 95% CI, 0.05-0.35), waist circumference (β coefficient, 0.20; 95% CI, 0.05-0.35), fat mass index (β coefficient, 0.17; 95% CI, 0.00-0.32), and fasting plasma glucose (β coefficient, 0.22; 95% CI, 0.06-0.37) and lower z scores for HDL cholesterol (β coefficient, -0.19; 95% CI, -0.36 to -0.02). One-SD increments in energy-adjusted UPF consumption were associated with higher z scores for BMI (β coefficient, 0.11; 95% CI, 0.05-0.17), waist circumference (β coefficient, 0.09; 95% CI, 0.02-0.15), fat mass index (β coefficient, 0.11; 95% CI, 0.04-1.18), and fasting plasma glucose (β coefficient, 0.10; 95% CI, 0.03-0.17) and lower HDL cholesterol (β coefficient, -0.07; 95% CI, -0.15 to -0.00). Substituting 100 g of UPFs with 100 g of unprocessed or minimally processed foods was associated with lower z scores of BMI (β coefficient, -0.03; 95% CI, -0.06 to -0.01), fat mass index (β coefficient, -0.03; 95% CI, -0.06 to 0.00), and fasting plasma glucose (β coefficient, -0.04; 95% CI, -0.07 to -0.01). Conclusions and Relevance: These findings suggest that high UPF consumption in young children is associated with adiposity and other cardiometabolic risk factors, highlighting the need for public health initiatives to promote the replacement of UPFs with unprocessed or minimally processed foods.

Indexed as

Cardiometabolic Risk FactorsAdiposityBody Mass IndexCardiovascular DiseasesChildChild, PreschoolCross-Sectional StudiesFast FoodsFemaleFood HandlingHumansLongitudinal StudiesMalePediatric ObesitySpain

Identifiers

PMID38758555
PMCPMC11102022

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