Cargando…
Exploring the risk factors of impaired fasting glucose in middle-aged population living in South Korean communities by using categorical boosting machine
OBJECTIVE: This epidemiological study (1) identified factors associated with impaired fasting glucose using 3,019 subjects (≥30 years old and <60 years old) without diabetes mellitus from national survey data and (2) developed a nomogram that could predict groups vulnerable to impaired fasting gl...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556903/ https://www.ncbi.nlm.nih.gov/pubmed/36246911 http://dx.doi.org/10.3389/fendo.2022.1013162 |
_version_ | 1784807179534991360 |
---|---|
author | Byeon, Haewon |
author_facet | Byeon, Haewon |
author_sort | Byeon, Haewon |
collection | PubMed |
description | OBJECTIVE: This epidemiological study (1) identified factors associated with impaired fasting glucose using 3,019 subjects (≥30 years old and <60 years old) without diabetes mellitus from national survey data and (2) developed a nomogram that could predict groups vulnerable to impaired fasting glucose by using machine learning. METHODS: This study analyzed 3,019 adults between 30 and 65 years old who completed blood tests, physical measurements, blood pressure measurements, and health surveys. Impaired fasting glucose, a dependent variable, was classified into normal blood glucose (glycated hemoglobin<5.7% and fasting blood glucose ≤ 100mg/dl) and impaired fasting glucose (glycated hemoglobin is 5.7-6.4% and fasting blood glucose is 100-125mg/dl). Explanatory variables included socio-demographic factors, health habit factors, anthropometric factors, dietary habit factors, and cardiovascular disease risk factors. This study developed a model for predicting impaired fasting glucose by using logistic nomogram and categorical boosting (CatBoost). RESULTS: In this study, the top eight variables with a high impact on CatBoost model output were age, high cholesterol, WHtR, BMI, drinking more than one shot per month for the past year, marital status, hypertension, and smoking. CONCLUSION: It is necessary to improve lifestyle and continuously monitor subjects at the primary medical care level so that we can detect non-diabetics vulnerable to impaired fasting glucose living in the community at an early stage and manage their blood glucose. |
format | Online Article Text |
id | pubmed-9556903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95569032022-10-14 Exploring the risk factors of impaired fasting glucose in middle-aged population living in South Korean communities by using categorical boosting machine Byeon, Haewon Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: This epidemiological study (1) identified factors associated with impaired fasting glucose using 3,019 subjects (≥30 years old and <60 years old) without diabetes mellitus from national survey data and (2) developed a nomogram that could predict groups vulnerable to impaired fasting glucose by using machine learning. METHODS: This study analyzed 3,019 adults between 30 and 65 years old who completed blood tests, physical measurements, blood pressure measurements, and health surveys. Impaired fasting glucose, a dependent variable, was classified into normal blood glucose (glycated hemoglobin<5.7% and fasting blood glucose ≤ 100mg/dl) and impaired fasting glucose (glycated hemoglobin is 5.7-6.4% and fasting blood glucose is 100-125mg/dl). Explanatory variables included socio-demographic factors, health habit factors, anthropometric factors, dietary habit factors, and cardiovascular disease risk factors. This study developed a model for predicting impaired fasting glucose by using logistic nomogram and categorical boosting (CatBoost). RESULTS: In this study, the top eight variables with a high impact on CatBoost model output were age, high cholesterol, WHtR, BMI, drinking more than one shot per month for the past year, marital status, hypertension, and smoking. CONCLUSION: It is necessary to improve lifestyle and continuously monitor subjects at the primary medical care level so that we can detect non-diabetics vulnerable to impaired fasting glucose living in the community at an early stage and manage their blood glucose. Frontiers Media S.A. 2022-09-29 /pmc/articles/PMC9556903/ /pubmed/36246911 http://dx.doi.org/10.3389/fendo.2022.1013162 Text en Copyright © 2022 Byeon https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Byeon, Haewon Exploring the risk factors of impaired fasting glucose in middle-aged population living in South Korean communities by using categorical boosting machine |
title | Exploring the risk factors of impaired fasting glucose in middle-aged population living in South Korean communities by using categorical boosting machine |
title_full | Exploring the risk factors of impaired fasting glucose in middle-aged population living in South Korean communities by using categorical boosting machine |
title_fullStr | Exploring the risk factors of impaired fasting glucose in middle-aged population living in South Korean communities by using categorical boosting machine |
title_full_unstemmed | Exploring the risk factors of impaired fasting glucose in middle-aged population living in South Korean communities by using categorical boosting machine |
title_short | Exploring the risk factors of impaired fasting glucose in middle-aged population living in South Korean communities by using categorical boosting machine |
title_sort | exploring the risk factors of impaired fasting glucose in middle-aged population living in south korean communities by using categorical boosting machine |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556903/ https://www.ncbi.nlm.nih.gov/pubmed/36246911 http://dx.doi.org/10.3389/fendo.2022.1013162 |
work_keys_str_mv | AT byeonhaewon exploringtheriskfactorsofimpairedfastingglucoseinmiddleagedpopulationlivinginsouthkoreancommunitiesbyusingcategoricalboostingmachine |