Developing a risk assessment tool for ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
PMID :
URL permanente :
Titre :
Developing a risk assessment tool for identifying individuals at high risk for developing insulin resistance in European adolescents: the HELENA-IR score.
Auteur(s) :
Kondakis, Katerina [Auteur]
Grammatikaki, Evangelina [Auteur]
Kondakis, Marios [Auteur]
Molnar, Denes [Auteur]
Gómez-Martínez, Sonia [Auteur]
González-Gross, Marcela [Auteur]
Kafatos, Anthony [Auteur]
Manios, Yannis [Auteur]
Pavón, David Jiménez [Auteur]
Gottrand, fréderic [Auteur]
Institute for Translational Research in Inflammation - U 1286 [INFINITE]
Beghin, Laurent [Auteur]
Institut de Recherche Translationnelle sur l'Inflammation (INFINITE) - U1286
Kersting, Mathilde [Auteur]
Castillo, Manuel J. [Auteur]
Moreno, Luis A. [Auteur]
De Henauw, Stefaan [Auteur]
Grammatikaki, Evangelina [Auteur]
Kondakis, Marios [Auteur]
Molnar, Denes [Auteur]
Gómez-Martínez, Sonia [Auteur]
González-Gross, Marcela [Auteur]
Kafatos, Anthony [Auteur]
Manios, Yannis [Auteur]
Pavón, David Jiménez [Auteur]
Gottrand, fréderic [Auteur]
Institute for Translational Research in Inflammation - U 1286 [INFINITE]
Beghin, Laurent [Auteur]
Institut de Recherche Translationnelle sur l'Inflammation (INFINITE) - U1286
Kersting, Mathilde [Auteur]
Castillo, Manuel J. [Auteur]
Moreno, Luis A. [Auteur]
De Henauw, Stefaan [Auteur]
Titre de la revue :
Journal of Pediatric Endocrinology and Metabolism
Nom court de la revue :
J Pediatr Endocrinol Metab
Date de publication :
2022-11-23
ISSN :
2191-0251
Mot(s)-clé(s) en anglais :
VO(2)max
type 2 diabetes
screening tool
insulin resistance
body fatness
adolescents
type 2 diabetes
screening tool
insulin resistance
body fatness
adolescents
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Résumé en anglais : [en]
Objectives
To develop and validate an easy-to-use screening tool for identifying adolescents at high-risk for insulin resistance (IR).
Methods
Α total of 1,053 adolescents (554 females), aged 12.5 to 17.5 years with ...
Lire la suite >Objectives To develop and validate an easy-to-use screening tool for identifying adolescents at high-risk for insulin resistance (IR). Methods Α total of 1,053 adolescents (554 females), aged 12.5 to 17.5 years with complete data on glucose and insulin levels were included. Body mass index (BMI), fat mass index (FMI) and the homeostasis model assessment for insulin resistance (HOMA-IR) were calculated. VO2max was predicted using 20 m multi-stage fitness test. The population was randomly separated into two cohorts for the development (n=702) and validation (n=351) of the index, respectively. Factors associated with high HOMA-IR were identified by Spearman correlation in the development cohort; multiple logistic regression was performed for all identified independent factors to develop a score index. Finally, receiver operating characteristic (ROC) analysis was performed in the validation cohort and was used to define the cut-off values that could identify adolescents above the 75th and the 95th percentile for HOMA-IR. Results BMI and VO2max significantly identified high HOMA-IR in males; and FMI, TV watching and VO2max in females. The HELENA-IR index scores range from 0 to 29 for males and 0 to 43 for females. The Area Under the Curve, sensitivity and specificity for identifying males above the 75th and 95th of HOMA-IR percentiles were 0.635 (95%CI: 0.542–0.725), 0.513 and 0.735, and 0.714 (95%CI: 0.499–0.728), 0.625 and 0.905, respectively. For females, the corresponding values were 0.632 (95%CI: 0.538–0.725), 0.568 and 0.652, and 0.708 (95%CI: 0.559–0.725), 0.667 and 0.617, respectively. Simple algorithms were created using the index cut-off scores. Conclusions Paediatricians or physical education teachers can use easy-to-obtain and non-invasive measures to apply the HELENA-IR score and identify adolescents at high risk for IR, who should be referred for further tests.Lire moins >
Lire la suite >Objectives To develop and validate an easy-to-use screening tool for identifying adolescents at high-risk for insulin resistance (IR). Methods Α total of 1,053 adolescents (554 females), aged 12.5 to 17.5 years with complete data on glucose and insulin levels were included. Body mass index (BMI), fat mass index (FMI) and the homeostasis model assessment for insulin resistance (HOMA-IR) were calculated. VO2max was predicted using 20 m multi-stage fitness test. The population was randomly separated into two cohorts for the development (n=702) and validation (n=351) of the index, respectively. Factors associated with high HOMA-IR were identified by Spearman correlation in the development cohort; multiple logistic regression was performed for all identified independent factors to develop a score index. Finally, receiver operating characteristic (ROC) analysis was performed in the validation cohort and was used to define the cut-off values that could identify adolescents above the 75th and the 95th percentile for HOMA-IR. Results BMI and VO2max significantly identified high HOMA-IR in males; and FMI, TV watching and VO2max in females. The HELENA-IR index scores range from 0 to 29 for males and 0 to 43 for females. The Area Under the Curve, sensitivity and specificity for identifying males above the 75th and 95th of HOMA-IR percentiles were 0.635 (95%CI: 0.542–0.725), 0.513 and 0.735, and 0.714 (95%CI: 0.499–0.728), 0.625 and 0.905, respectively. For females, the corresponding values were 0.632 (95%CI: 0.538–0.725), 0.568 and 0.652, and 0.708 (95%CI: 0.559–0.725), 0.667 and 0.617, respectively. Simple algorithms were created using the index cut-off scores. Conclusions Paediatricians or physical education teachers can use easy-to-obtain and non-invasive measures to apply the HELENA-IR score and identify adolescents at high risk for IR, who should be referred for further tests.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
Université de Lille
Inserm
CHU Lille
Inserm
CHU Lille
Date de dépôt :
2024-01-12T00:00:51Z
2024-03-26T10:00:51Z
2024-03-26T10:02:21Z
2024-03-26T10:00:51Z
2024-03-26T10:02:21Z