Independent effect of body fat content on inflammatory biomarkers in children and adolescents: the GENOBOX study
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Elsevier
Abstract
Background and aims: To assess the relationship between body composition indicators and inflammatory biomarkers in children and adolescents of the GENOBOX study.
Methods and results: Anthropometry data from 264 subjects from the subsample of Zaragoza (Spain) included: weight, height, waist circumference, body mass index and triponderal index. Body composition was determined by Dual-energy X-ray Absorptiometry (DXA), obtaining visceral adipose tissue, fat mass index and lean mass index. Age and sex specific z-scores were computed. Simple linear regression models were performed with inflammatory biomarkers (hsCRP, IL8, TNF-α, adiponectin, leptin and resistin) as dependent variables, and each of the body composition indices as independent variables. Prepubertal boys had higher IL8 and resistin values and pubertal girls had higher HOMA-IR and leptin values. hsCPR and leptin were associated with fat mass, both in prepubertals and pubertals, independently of lean mass, and regardless of how body composition was measured. All body composition indices were inversely associated with adiponectin, except for fat mass index in pubertals, but none of them were statistically significant.
Conclusion: A positive association between hsCRP and leptin with all body fat composition parameters, measured by standard nutritional indicators and DXA, was observed in both sexual stages.
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Skapino, E., Gonzalez-Gayan, L., Seral-Cortes, M., Sabroso-Lasa, S., Llorente-Cereza, M. T., Leis, R., Aguilera, C. M., Gil-Campos, M., Moreno, L. A., & Bueno-Lozano, G. (2025). Independent effect of body fat content on inflammatory biomarkers in children and adolescents: The GENOBOX study. Nutrition, Metabolism and Cardiovascular Diseases, 35(4), 103811. 10.1016/j.numecd.2024.103811
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https://doi.org/10.1016/j.numecd.2024.103811Sponsors
This study received support from the Plan Nacional de Investigacion Científica, Desarrollo e Innovación Tecnológica (I + D + I) and the Instituto de Salud Carlos III-Health Research Funding (FONDOS FEDER) (Grants: PI051968, PI11/02042, PI11/02059, PI11/01425, PI16/ 00871, PI16/01301, PI16/01205), as well as from the Redes tematicas de investigacion cooperativa RETIC (Red SAMID RD12/0026/0015) and the Mapfre Foundation. Additionally, the authors would like to express gratitude to the Instituto de Salud Carlos III for personal funding through the i-PFIS contracts: doctoral grants IIS-empresa in health sciences and technologies from the 2017 call of the Strategic Action in Health 2013–2016 (Grant: IFI17/00048), and support from the Spanish Ministry of Education (Grant: FPU 16/03653).
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Attribution 4.0 International








