2026-06-14T03:30:39Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/165482024-11-28T19:20:34Zcom_20.500.12105_2052com_20.500.12105_2051com_20.500.12105_15322col_20.500.12105_19608col_20.500.12105_16963
Repisalud
author
Ortiz-Marrón, Honorato
author
Cabañas Pujadas, Gloria
author
Donoso Navarro, Encarnación
author
Burreros García, Mar
author
Herreros Álvaro, María Isabel
author
Mejía Fernández de Velasco, Alma María
author
Cornejo Gutiérrez, Ana
author
Galan, Iñaki
funder
Ministerio de Sanidad (España)
funder
Comunidad de Madrid (España)
funder
Fundación para la Investigación e Innovación Biomédica en Atención Primaria (FIIBAP)
2023-10-16T09:40:30Z
2023-10-16T09:40:30Z
2023
Eur J Pediatr. 2023 Dec;182(12):5649-5659.
10.1007/s00431-023-05244-1
1432-1076
European journal of pediatrics
37819420
http://hdl.handle.net/20.500.12105/16548
The relationship between iron metabolism and cardiometabolic risk factors has been scarcely studied in children, and the results are controversial. The objective of this study was to evaluate the association between iron parameters and lipid, glycemic and blood pressure alterations in the pediatric population. This was a cross-sectional study of 1954 children between 9 and 10 years of age in Madrid (Spain), participants in a longitudinal study of childhood obesity. Iron metabolism parameters, i.e., serum iron (Is), ferritin (Fs), transferrin (Tf) and transferrin saturation (STf) and lipid, glycemic and blood pressure profiles were evaluated. Odds ratios (ORs) were estimated using logistic regression models adjusted for sociodemographic characteristics, diet, physical activity, C-reactive protein and body mass index. Compared with the participants in the low Is and STf tertiles, those in the upper tertiles had a lower risk of low HDL-Chol (OR: 0.34; 95%CI: 0.17; 0.67) and OR: 0.44 (95%CI: 0.23; 0.84), respectively, and children in the upper Fs tertile had an OR of 2.07 (95%CI: 1.16; 3.68) for low HDL-Chol. Children in the highest Is and STf tertiles had a lower risk of prediabetes [OR: 0.63 (95%CI: 0.41; 0.97) and OR: 0.53 (95%CI: 0.34; 0.82)] and insulin resistance (IR) (OR: 0.37; 95%CI: 0.22; 0.64), and those in the upper Tf tertile had a higher risk of IR (OR: 1.90; 95%CI: 1.16; 3.12). An increased risk of hypertension was found only in children in the upper Fs tertile (OR: 1.46; 95%CI: 1.01; 2.13). Conclusions: Biomarkers of iron metabolism are associated with cardiometabolic alterations in the pediatric population, with a variable direction and magnitude depending on the indicators used. What is known: • Iron metabolism is related to important cardiometabolic alterations such as metabolic syndrome and its components. • Association between biomarkers of iron status and cardiometabolic risk have been less explored in children. What is new: • Biomarkers of iron metabolism are associated with cardiometabolic alterations in the pediatric population. • Iron parameters in the pediatric population could be of great help to detect and prevent cardiometabolic abnormalities early.
eng
Iron markers
Ferritin
Transferrin
Transferrin saturation
Cardiac risk
Children
Association between biomarkers of iron status and cardiometabolic risk in Spanish children aged 9-10 years. The ELOIN study
research article
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