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Determinants of Longitudinal Changes in Cardiometabolic Risk in Adolescents with Overweight/Obesity: The EVASYON Study

We investigated which determinants (socioeconomic, early life factors, body composition changes, fitness changes and/or physical activity changes) best predicted longitudinal outcomes in cardiometabolic risk profile (Z-score change) in adolescents with OW/OB who underwent a 13-month multidisciplinar...

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Autores principales: Martín-Matillas, Miguel, Rocha-Silva, Dinalrilan, Plaza-Florido, Abel, Delgado-Fernández, Manuel, Marti, Amelia, De Miguel-Etayo, Pilar, Moreno, Luis A., Marcos, Ascensión, Campoy, Cristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9370317/
https://www.ncbi.nlm.nih.gov/pubmed/35956416
http://dx.doi.org/10.3390/nu14153241
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author Martín-Matillas, Miguel
Rocha-Silva, Dinalrilan
Plaza-Florido, Abel
Delgado-Fernández, Manuel
Marti, Amelia
De Miguel-Etayo, Pilar
Moreno, Luis A.
Marcos, Ascensión
Campoy, Cristina
author_facet Martín-Matillas, Miguel
Rocha-Silva, Dinalrilan
Plaza-Florido, Abel
Delgado-Fernández, Manuel
Marti, Amelia
De Miguel-Etayo, Pilar
Moreno, Luis A.
Marcos, Ascensión
Campoy, Cristina
author_sort Martín-Matillas, Miguel
collection PubMed
description We investigated which determinants (socioeconomic, early life factors, body composition changes, fitness changes and/or physical activity changes) best predicted longitudinal outcomes in cardiometabolic risk profile (Z-score change) in adolescents with OW/OB who underwent a 13-month multidisciplinary lifestyle intervention. A total of 165 adolescents (13–16 y; 46% boys) from the EVASYON study were included. Socioeconomic variables and early life factors were obtained from the medical records. Body composition was assessed using anthropometry. Fitness and physical activity were measured with field-based tests and questionnaires. Cardiometabolic risk factors (fasting glucose, HDL cholesterol, triglycerides, blood pressure and waist circumference) were derived from standard methods in the hospital. Body weight changes, sex and mother’s education were selected in the stepwise process as the most important determinants of changes in cardiometabolic risk profile (R(2) = 0.26, p = 0.002; R(2) = 0.14, p = 0.013; and R(2) = 0.14, p = 0.017, respectively). Both boys and girls showed a lower cardiometabolic risk score with the reduction in body weight (r = 0.535, p = 0.009 and r = 0.506, p = 0.005, respectively). There was no interaction between sex and body weight change (p = 0.614). In conclusion, the simple measure of changes in body weight should be considered to track changes in cardiometabolic risk profile in adolescents with OW/OB.
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spelling pubmed-93703172022-08-12 Determinants of Longitudinal Changes in Cardiometabolic Risk in Adolescents with Overweight/Obesity: The EVASYON Study Martín-Matillas, Miguel Rocha-Silva, Dinalrilan Plaza-Florido, Abel Delgado-Fernández, Manuel Marti, Amelia De Miguel-Etayo, Pilar Moreno, Luis A. Marcos, Ascensión Campoy, Cristina Nutrients Article We investigated which determinants (socioeconomic, early life factors, body composition changes, fitness changes and/or physical activity changes) best predicted longitudinal outcomes in cardiometabolic risk profile (Z-score change) in adolescents with OW/OB who underwent a 13-month multidisciplinary lifestyle intervention. A total of 165 adolescents (13–16 y; 46% boys) from the EVASYON study were included. Socioeconomic variables and early life factors were obtained from the medical records. Body composition was assessed using anthropometry. Fitness and physical activity were measured with field-based tests and questionnaires. Cardiometabolic risk factors (fasting glucose, HDL cholesterol, triglycerides, blood pressure and waist circumference) were derived from standard methods in the hospital. Body weight changes, sex and mother’s education were selected in the stepwise process as the most important determinants of changes in cardiometabolic risk profile (R(2) = 0.26, p = 0.002; R(2) = 0.14, p = 0.013; and R(2) = 0.14, p = 0.017, respectively). Both boys and girls showed a lower cardiometabolic risk score with the reduction in body weight (r = 0.535, p = 0.009 and r = 0.506, p = 0.005, respectively). There was no interaction between sex and body weight change (p = 0.614). In conclusion, the simple measure of changes in body weight should be considered to track changes in cardiometabolic risk profile in adolescents with OW/OB. MDPI 2022-08-08 /pmc/articles/PMC9370317/ /pubmed/35956416 http://dx.doi.org/10.3390/nu14153241 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Martín-Matillas, Miguel
Rocha-Silva, Dinalrilan
Plaza-Florido, Abel
Delgado-Fernández, Manuel
Marti, Amelia
De Miguel-Etayo, Pilar
Moreno, Luis A.
Marcos, Ascensión
Campoy, Cristina
Determinants of Longitudinal Changes in Cardiometabolic Risk in Adolescents with Overweight/Obesity: The EVASYON Study
title Determinants of Longitudinal Changes in Cardiometabolic Risk in Adolescents with Overweight/Obesity: The EVASYON Study
title_full Determinants of Longitudinal Changes in Cardiometabolic Risk in Adolescents with Overweight/Obesity: The EVASYON Study
title_fullStr Determinants of Longitudinal Changes in Cardiometabolic Risk in Adolescents with Overweight/Obesity: The EVASYON Study
title_full_unstemmed Determinants of Longitudinal Changes in Cardiometabolic Risk in Adolescents with Overweight/Obesity: The EVASYON Study
title_short Determinants of Longitudinal Changes in Cardiometabolic Risk in Adolescents with Overweight/Obesity: The EVASYON Study
title_sort determinants of longitudinal changes in cardiometabolic risk in adolescents with overweight/obesity: the evasyon study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9370317/
https://www.ncbi.nlm.nih.gov/pubmed/35956416
http://dx.doi.org/10.3390/nu14153241
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