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Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents

Background and Objectives: Hyperinsulinemia and insulin resistance are not synonymous; if the risk of developing insulin resistance in adolescents is monitored, they do not necessarily have hyperinsulinemia. It is considered a condition of pre-diabetes and represents a condition of increased risk of...

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Autores principales: Lukic, Igor, Savic, Nikola, Simic, Maja, Rankovic, Nevena, Rankovic, Dragica, Lazic, Ljubomir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778979/
https://www.ncbi.nlm.nih.gov/pubmed/35056318
http://dx.doi.org/10.3390/medicina58010009
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author Lukic, Igor
Savic, Nikola
Simic, Maja
Rankovic, Nevena
Rankovic, Dragica
Lazic, Ljubomir
author_facet Lukic, Igor
Savic, Nikola
Simic, Maja
Rankovic, Nevena
Rankovic, Dragica
Lazic, Ljubomir
author_sort Lukic, Igor
collection PubMed
description Background and Objectives: Hyperinsulinemia and insulin resistance are not synonymous; if the risk of developing insulin resistance in adolescents is monitored, they do not necessarily have hyperinsulinemia. It is considered a condition of pre-diabetes and represents a condition of increased risk of developing DM (diabetes mellitus); it can exist for many years without people having the appropriate symptoms. This study aims to determine the risk of developing hyperinsulinemia at an early age in adolescents by examining which factors are crucial for its occurrence. Materials and Methods: The cross-sectional study lasting from 2019 to 2021 (2 years) was realized at the school children’s department in the Valjevo Health Center, which included a total of 822 respondents (392 male and 430 female) children and adolescents aged 12 to 17. All respondents underwent a regular, systematic examination scheduled for school children. BMI is a criterion according to which respondents are divided into three groups. Results: After summary analyzes of OGTT test respondents and calculated values of HOMA-IR (homeostatic model assessment for insulin resistance), the study showed that a large percentage of respondents, a total of 12.7%, are at risk for hyperinsulinemia. The research described in this paper aimed to use the most popular AI (artificial intelligence) model, ANN (artificial neural network), to show that 13.1% of adolescents are at risk, i.e., the risk is higher by 0.4%, which was shown by statistical tests as a significant difference. Conclusions: It is estimated that a model using three different ANN architectures, based on Taguchi’s orthogonal vector plans, gives more precise and accurate results with much less error. In addition to monitoring changes in each individual’s risk, the risk assessment of the entire monitored group is updated without having to analyze all data.
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spelling pubmed-87789792022-01-22 Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents Lukic, Igor Savic, Nikola Simic, Maja Rankovic, Nevena Rankovic, Dragica Lazic, Ljubomir Medicina (Kaunas) Article Background and Objectives: Hyperinsulinemia and insulin resistance are not synonymous; if the risk of developing insulin resistance in adolescents is monitored, they do not necessarily have hyperinsulinemia. It is considered a condition of pre-diabetes and represents a condition of increased risk of developing DM (diabetes mellitus); it can exist for many years without people having the appropriate symptoms. This study aims to determine the risk of developing hyperinsulinemia at an early age in adolescents by examining which factors are crucial for its occurrence. Materials and Methods: The cross-sectional study lasting from 2019 to 2021 (2 years) was realized at the school children’s department in the Valjevo Health Center, which included a total of 822 respondents (392 male and 430 female) children and adolescents aged 12 to 17. All respondents underwent a regular, systematic examination scheduled for school children. BMI is a criterion according to which respondents are divided into three groups. Results: After summary analyzes of OGTT test respondents and calculated values of HOMA-IR (homeostatic model assessment for insulin resistance), the study showed that a large percentage of respondents, a total of 12.7%, are at risk for hyperinsulinemia. The research described in this paper aimed to use the most popular AI (artificial intelligence) model, ANN (artificial neural network), to show that 13.1% of adolescents are at risk, i.e., the risk is higher by 0.4%, which was shown by statistical tests as a significant difference. Conclusions: It is estimated that a model using three different ANN architectures, based on Taguchi’s orthogonal vector plans, gives more precise and accurate results with much less error. In addition to monitoring changes in each individual’s risk, the risk assessment of the entire monitored group is updated without having to analyze all data. MDPI 2021-12-22 /pmc/articles/PMC8778979/ /pubmed/35056318 http://dx.doi.org/10.3390/medicina58010009 Text en © 2021 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
Lukic, Igor
Savic, Nikola
Simic, Maja
Rankovic, Nevena
Rankovic, Dragica
Lazic, Ljubomir
Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents
title Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents
title_full Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents
title_fullStr Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents
title_full_unstemmed Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents
title_short Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents
title_sort risk assessment and determination of factors that cause the development of hyperinsulinemia in school-age adolescents
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778979/
https://www.ncbi.nlm.nih.gov/pubmed/35056318
http://dx.doi.org/10.3390/medicina58010009
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