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Metabolic syndrome as an independent risk factor for glaucoma: a nationally representative study

BACKGROUND: Central insulin resistance contributes to glaucoma development. Given the close association between metabolic syndrome MetS and insulin resistance, this study aimed to determine whether MetS is associated with glaucoma risk. METHODS: We analyzed data from 11,499 adults aged ≥ 19 years in...

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Autores principales: Lee, Jun-Hyuk, Kwon, Yu-Jin, Kim, Sung Jin, Joung, Boyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10464157/
https://www.ncbi.nlm.nih.gov/pubmed/37620923
http://dx.doi.org/10.1186/s13098-023-01151-5
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author Lee, Jun-Hyuk
Kwon, Yu-Jin
Kim, Sung Jin
Joung, Boyoung
author_facet Lee, Jun-Hyuk
Kwon, Yu-Jin
Kim, Sung Jin
Joung, Boyoung
author_sort Lee, Jun-Hyuk
collection PubMed
description BACKGROUND: Central insulin resistance contributes to glaucoma development. Given the close association between metabolic syndrome MetS and insulin resistance, this study aimed to determine whether MetS is associated with glaucoma risk. METHODS: We analyzed data from 11,499 adults aged ≥ 19 years in the 2019–2021 Korean National Health and Nutrition Examination Survey and applied sampling weights to represent the general Korean population. Participants were classified into groups with or without MetS. Ocular hypertension (HTN) was defined as intraocular pressure > 21 mmHg. Primary open-angle glaucoma (POAG) was diagnosed based on the results of a visual field test and optical coherence tomography using the criteria published by the International Society for Geographic and Epidemiological Ophthalmology. We further divided POAG into normal tension (NTG) and POAG with ocular HTN. A spline curve was drawn to determine the dose–response relationship between the number of MetS components and risk of POAG. Odds ratios (ORs) with 95% confidence interval (CI) for POAG according to MetS status were estimated using weighted logistic regression analyses. RESULTS: The prevalence of POAG was 5.7% and 3.5%, respectively, in groups with and without MetS. We identified a dose–response relationship between the number of MetS components and risk of POAG. Unadjusted ORs (95% CI) for POAG in the group with MetS was 1.85 (1.52–2.25), compared with those without MetS. The trends persisted in adjusted models. The fully-adjusted OR (95% CI) for POAG was 1.47 (1.04–2.09) in the group with MetS. Subgroup analysis revealed that a significant relationship remained only in the NTG group (fully adjusted OR, 1.50; 95% CI 1.05–2.15). CONCLUSIONS: A comprehensive ophthalmological assessment should be considered for persons with MetS who are at increased risk of POAG, particularly NTG. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01151-5.
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spelling pubmed-104641572023-08-30 Metabolic syndrome as an independent risk factor for glaucoma: a nationally representative study Lee, Jun-Hyuk Kwon, Yu-Jin Kim, Sung Jin Joung, Boyoung Diabetol Metab Syndr Research BACKGROUND: Central insulin resistance contributes to glaucoma development. Given the close association between metabolic syndrome MetS and insulin resistance, this study aimed to determine whether MetS is associated with glaucoma risk. METHODS: We analyzed data from 11,499 adults aged ≥ 19 years in the 2019–2021 Korean National Health and Nutrition Examination Survey and applied sampling weights to represent the general Korean population. Participants were classified into groups with or without MetS. Ocular hypertension (HTN) was defined as intraocular pressure > 21 mmHg. Primary open-angle glaucoma (POAG) was diagnosed based on the results of a visual field test and optical coherence tomography using the criteria published by the International Society for Geographic and Epidemiological Ophthalmology. We further divided POAG into normal tension (NTG) and POAG with ocular HTN. A spline curve was drawn to determine the dose–response relationship between the number of MetS components and risk of POAG. Odds ratios (ORs) with 95% confidence interval (CI) for POAG according to MetS status were estimated using weighted logistic regression analyses. RESULTS: The prevalence of POAG was 5.7% and 3.5%, respectively, in groups with and without MetS. We identified a dose–response relationship between the number of MetS components and risk of POAG. Unadjusted ORs (95% CI) for POAG in the group with MetS was 1.85 (1.52–2.25), compared with those without MetS. The trends persisted in adjusted models. The fully-adjusted OR (95% CI) for POAG was 1.47 (1.04–2.09) in the group with MetS. Subgroup analysis revealed that a significant relationship remained only in the NTG group (fully adjusted OR, 1.50; 95% CI 1.05–2.15). CONCLUSIONS: A comprehensive ophthalmological assessment should be considered for persons with MetS who are at increased risk of POAG, particularly NTG. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01151-5. BioMed Central 2023-08-24 /pmc/articles/PMC10464157/ /pubmed/37620923 http://dx.doi.org/10.1186/s13098-023-01151-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lee, Jun-Hyuk
Kwon, Yu-Jin
Kim, Sung Jin
Joung, Boyoung
Metabolic syndrome as an independent risk factor for glaucoma: a nationally representative study
title Metabolic syndrome as an independent risk factor for glaucoma: a nationally representative study
title_full Metabolic syndrome as an independent risk factor for glaucoma: a nationally representative study
title_fullStr Metabolic syndrome as an independent risk factor for glaucoma: a nationally representative study
title_full_unstemmed Metabolic syndrome as an independent risk factor for glaucoma: a nationally representative study
title_short Metabolic syndrome as an independent risk factor for glaucoma: a nationally representative study
title_sort metabolic syndrome as an independent risk factor for glaucoma: a nationally representative study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10464157/
https://www.ncbi.nlm.nih.gov/pubmed/37620923
http://dx.doi.org/10.1186/s13098-023-01151-5
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