Cargando…
Metabolic Unhealthiness Increases the Likelihood of Having Metabolic Syndrome Components in Normoweight Young Adults
Findings on risk detection for having metabolic syndrome (MetS) components, each of which may individually increase the risk of disease and mortality, are limited in young adults. In this study, we aimed to calculate the likelihood of having ≥1 MetS component in normoweight young adults using two di...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765795/ https://www.ncbi.nlm.nih.gov/pubmed/31491867 http://dx.doi.org/10.3390/ijerph16183258 |
_version_ | 1783454563628482560 |
---|---|
author | Bintoro, Bagas Suryo Fan, Yen-Chun Chou, Chia-Chi Chien, Kuo-Liong Bai, Chyi-Huey |
author_facet | Bintoro, Bagas Suryo Fan, Yen-Chun Chou, Chia-Chi Chien, Kuo-Liong Bai, Chyi-Huey |
author_sort | Bintoro, Bagas Suryo |
collection | PubMed |
description | Findings on risk detection for having metabolic syndrome (MetS) components, each of which may individually increase the risk of disease and mortality, are limited in young adults. In this study, we aimed to calculate the likelihood of having ≥1 MetS component in normoweight young adults using two different metabolic health criteria. We recruited 1182 normoweight young adults from the Taiwan Survey on the Prevalence of Hypertension, Hyperglycemia, and Hyperlipidemia and the National Health Interview Survey (aged 16–45 years, 39% male, body mass index = 18.5–22.99, all without MetS) and followed them for 5 years. Metabolic health criteria were derived from the Harmonized criteria (unhealthy if showing abnormality in one or two MetS components) and the triglyceride-glucose index (TyG-i; unhealthy if TyG-i was in the >75th percentile). Odds ratio (OR) and 95% confidence interval (CI) estimations for having ≥1 MetS component and for having each MetS component in 5 years were assessed using multivariable-adjusted logistic regression. We observed a significantly increased likelihood of the presence of ≥1 MetS component in the unhealthy group by using the Harmonized criteria and TyG-i (adjusted OR (aOR); 95%CI: 2.64; 2.02–3.45 and 2.1; 1.57–2.82, respectively). The areas under the receiver-operating characteristics curves were 0.679 and 0.652 for the final models using Harmonized and TyG-i criteria, respectively. These findings support the recommendation of treating any metabolic component abnormality, even in young adults without a MetS diagnosis. |
format | Online Article Text |
id | pubmed-6765795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67657952019-09-30 Metabolic Unhealthiness Increases the Likelihood of Having Metabolic Syndrome Components in Normoweight Young Adults Bintoro, Bagas Suryo Fan, Yen-Chun Chou, Chia-Chi Chien, Kuo-Liong Bai, Chyi-Huey Int J Environ Res Public Health Article Findings on risk detection for having metabolic syndrome (MetS) components, each of which may individually increase the risk of disease and mortality, are limited in young adults. In this study, we aimed to calculate the likelihood of having ≥1 MetS component in normoweight young adults using two different metabolic health criteria. We recruited 1182 normoweight young adults from the Taiwan Survey on the Prevalence of Hypertension, Hyperglycemia, and Hyperlipidemia and the National Health Interview Survey (aged 16–45 years, 39% male, body mass index = 18.5–22.99, all without MetS) and followed them for 5 years. Metabolic health criteria were derived from the Harmonized criteria (unhealthy if showing abnormality in one or two MetS components) and the triglyceride-glucose index (TyG-i; unhealthy if TyG-i was in the >75th percentile). Odds ratio (OR) and 95% confidence interval (CI) estimations for having ≥1 MetS component and for having each MetS component in 5 years were assessed using multivariable-adjusted logistic regression. We observed a significantly increased likelihood of the presence of ≥1 MetS component in the unhealthy group by using the Harmonized criteria and TyG-i (adjusted OR (aOR); 95%CI: 2.64; 2.02–3.45 and 2.1; 1.57–2.82, respectively). The areas under the receiver-operating characteristics curves were 0.679 and 0.652 for the final models using Harmonized and TyG-i criteria, respectively. These findings support the recommendation of treating any metabolic component abnormality, even in young adults without a MetS diagnosis. MDPI 2019-09-05 2019-09 /pmc/articles/PMC6765795/ /pubmed/31491867 http://dx.doi.org/10.3390/ijerph16183258 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bintoro, Bagas Suryo Fan, Yen-Chun Chou, Chia-Chi Chien, Kuo-Liong Bai, Chyi-Huey Metabolic Unhealthiness Increases the Likelihood of Having Metabolic Syndrome Components in Normoweight Young Adults |
title | Metabolic Unhealthiness Increases the Likelihood of Having Metabolic Syndrome Components in Normoweight Young Adults |
title_full | Metabolic Unhealthiness Increases the Likelihood of Having Metabolic Syndrome Components in Normoweight Young Adults |
title_fullStr | Metabolic Unhealthiness Increases the Likelihood of Having Metabolic Syndrome Components in Normoweight Young Adults |
title_full_unstemmed | Metabolic Unhealthiness Increases the Likelihood of Having Metabolic Syndrome Components in Normoweight Young Adults |
title_short | Metabolic Unhealthiness Increases the Likelihood of Having Metabolic Syndrome Components in Normoweight Young Adults |
title_sort | metabolic unhealthiness increases the likelihood of having metabolic syndrome components in normoweight young adults |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765795/ https://www.ncbi.nlm.nih.gov/pubmed/31491867 http://dx.doi.org/10.3390/ijerph16183258 |
work_keys_str_mv | AT bintorobagassuryo metabolicunhealthinessincreasesthelikelihoodofhavingmetabolicsyndromecomponentsinnormoweightyoungadults AT fanyenchun metabolicunhealthinessincreasesthelikelihoodofhavingmetabolicsyndromecomponentsinnormoweightyoungadults AT chouchiachi metabolicunhealthinessincreasesthelikelihoodofhavingmetabolicsyndromecomponentsinnormoweightyoungadults AT chienkuoliong metabolicunhealthinessincreasesthelikelihoodofhavingmetabolicsyndromecomponentsinnormoweightyoungadults AT baichyihuey metabolicunhealthinessincreasesthelikelihoodofhavingmetabolicsyndromecomponentsinnormoweightyoungadults |