Ultraprocessed Food Consumption and Cardiometabolic Risk Factors in Children.
Autor: | Khoury N; Universitat Rovira i Virgili Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, ANUT-DSM group, Spain.; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain.; Consorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain., Martínez MÁ; Universitat Rovira i Virgili Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, ANUT-DSM group, Spain.; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain.; Consorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain., Garcidueñas-Fimbres TE; Universitat Rovira i Virgili Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, ANUT-DSM group, Spain.; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain.; Consorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain., Pastor-Villaescusa B; Metabolism and Investigation Unit, Maimónides Institute of Biomedicine Research of Córdoba, Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain.; Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin, Instituto de Salud Carlos III, Madrid, Spain., Leis R; Consorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.; Unit of Pediatric Gastroenterology, Hepatology and Nutrition, Pediatric Service, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain.; Pediatric 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., de Las Heras-Delgado S; Universitat Rovira i Virgili Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, ANUT-DSM group, Spain.; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain.; Consorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain., Miguel-Berges ML; Consorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.; Growth, Exercise, Nutrition and Development Research Group, University of Zaragoza, Spain.; Instituto Agroalimentario de Aragón, University of Zaragoza, Spain.; Instituto de Investigación Sanitaria de Aragón, Zaragoza, Spain., Navas-Carretero S; Consorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.; Center for Nutrition Research, Faculty of Pharmacy and Nutrition, Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain.; Navarra Medical Research Institute, Pamplona, Spain., Portoles O; Consorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.; Department of Preventive Medicine and Public Health, University of Valencia, Spain., Pérez-Vega KA; Consorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.; Hospital del Mar Medical Research Institute, Barcelona, Spain., Jurado-Castro JM; Consorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.; Metabolism and Investigation Unit, Maimónides Institute of Biomedicine Research of Córdoba, Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain., Vázquez-Cobela R; Consorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.; Unit of Pediatric Gastroenterology, Hepatology and Nutrition, Pediatric Service, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain.; Pediatric 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., Mimbrero G; Universitat Rovira i Virgili Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, ANUT-DSM group, Spain.; Centre d'Atenció Primària, Institut Català de la Salut, Reus, Spain., Andía Horno R; Growth, Exercise, Nutrition and Development Research Group, University of Zaragoza, Spain.; Instituto Agroalimentario de Aragón, University of Zaragoza, Spain., Martínez JA; Consorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.; Center for Nutrition Research, Faculty of Pharmacy and Nutrition, Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain., Flores-Rojas K; Metabolism and Investigation Unit, Maimónides Institute of Biomedicine Research of Córdoba, Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain., Picáns-Leis R; Pediatric 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., Luque V; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain.; Pediatrics, Nutrition, and Development Research Unit, Universitat Rovira I Virgili, Reus, Spain., Moreno LA; Consorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.; Growth, Exercise, Nutrition and Development Research Group, University of Zaragoza, Spain.; Instituto Agroalimentario de Aragón, University of Zaragoza, Spain.; Instituto de Investigación Sanitaria de Aragón, Zaragoza, Spain., Castro-Collado C; Metabolism and Investigation Unit, Maimónides Institute of Biomedicine Research of Córdoba, Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain., Gil-Campos M; Consorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.; Metabolism and Investigation Unit, Maimónides Institute of Biomedicine Research of Córdoba, Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain., Salas-Salvadó J; Universitat Rovira i Virgili Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, ANUT-DSM group, Spain.; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain.; Consorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain., Babio N; Universitat Rovira i Virgili Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, ANUT-DSM group, Spain.; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain.; Consorcio Centro de Investigación Biomédica en Red, M. P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain. |
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Jazyk: | angličtina |
Zdroj: | JAMA network open [JAMA Netw Open] 2024 May 01; Vol. 7 (5), pp. e2411852. Date of Electronic Publication: 2024 May 01. |
DOI: | 10.1001/jamanetworkopen.2024.11852 |
Abstrakt: | 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. |
Databáze: | MEDLINE |
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