Developing a risk assessment tool for identifying individuals at high risk for developing insulin resistance in European adolescents: the HELENA-IR score

Author:

Kondakis Katerina1ORCID,Grammatikaki Evangelia12ORCID,Kondakis Marios3ORCID,Molnar Denes4ORCID,Gómez-Martínez Sonia5,González-Gross Marcela6,Kafatos Anthony7,Manios Yannis28ORCID,Pavón David Jiménez9ORCID,Gottrand Frédéric10ORCID,Beghin Laurent10ORCID,Kersting Mathilde11,Castillo Manuel J.9,Moreno Luis A.12131415ORCID,De Henauw Stefaan1ORCID

Affiliation:

1. Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences , Ghent University , Ghent , Belgium

2. Department of Nutrition and Dietetics, School of Health Science and Education , Harokopio University , Kallithea , Greece

3. Department of Statistics , Athens University of Economics and Business , Athens , Greece

4. Department of Pediatrics, Medical School , University of Pécs , Pécs , Hungary

5. Immunonutrition Group, Department of Metabolism and Nutrition, Institute of Food Science, Technology and Nutrition (ICTAN) , Spanish National Research Council (CSIC) , Madrid , Spain

6. ImFINE Research Group, Department of Health and Human Performance , Universidad Politécnica de Madrid , Madrid , Spain

7. Faculty of Medicine , University of Crete , Heraklion , Greece

8. Institute of Agri-Food and Life Sciences , Hellenic Mediterranean University Research Centre , Heraklion , Greece

9. Department of Physiology, School of Medicine , University of Granada , Granada , Spain

10. Univ. Lille, CHU Lille, INFINITE U1286 , Lille , France

11. Research Institute of Child Nutrition , Rheinische Friedrich-Wilhelms-Universität Bonn , Dortmund , Germany

12. Growth, Exercise, Nutrition and Development (GENUD) Research Group, Facutlad de Ciencias de la Salud , Universidad de Zaragoza , Zaragoza , Spain

13. Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III , Madrid , Spain

14. Instituto Agroalimentario de Aragon (IA2) , Zaragoza , Spain

15. Instituto de Investigacion Sanitaria Aragon (IIS Aragon) , Zaragoza , Spain

Abstract

Abstract 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.

Funder

Sixth Framework Programme

Publisher

Walter de Gruyter GmbH

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism,Pediatrics, Perinatology and Child Health

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3