Cargando…

Trajectory patterns of metabolic syndrome severity score and risk of type 2 diabetes

BACKGROUND: The available evidence indicates that the severity of metabolic syndrome tends to worsen progressively over time. We assessed the trajectory of age and sex-specific continuous MetS severity score (cMetS-S) and its association with the development of diabetes during an 18-year follow-up....

Descripción completa

Detalles Bibliográficos
Autores principales: Amouzegar, Atieh, Honarvar, Mohammadjavad, Masoumi, Safdar, Khalili, Davood, Azizi, Fereidoun, Mehran, Ladan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598905/
https://www.ncbi.nlm.nih.gov/pubmed/37880756
http://dx.doi.org/10.1186/s12967-023-04639-w
_version_ 1785125658258571264
author Amouzegar, Atieh
Honarvar, Mohammadjavad
Masoumi, Safdar
Khalili, Davood
Azizi, Fereidoun
Mehran, Ladan
author_facet Amouzegar, Atieh
Honarvar, Mohammadjavad
Masoumi, Safdar
Khalili, Davood
Azizi, Fereidoun
Mehran, Ladan
author_sort Amouzegar, Atieh
collection PubMed
description BACKGROUND: The available evidence indicates that the severity of metabolic syndrome tends to worsen progressively over time. We assessed the trajectory of age and sex-specific continuous MetS severity score (cMetS-S) and its association with the development of diabetes during an 18-year follow-up. METHODS: In a prospective population-based Tehran Lipid and Glucose Study, 3931 eligible participants free of diabetes, aged 20–60 years, were followed at three-year intervals. We examined the trajectories of cMetS-S over nine years using latent growth mixture modeling (LGMM) and subsequent risks of incident diabetes eight years later. The prospective association of identified trajectories with diabetes was examined using the Cox proportional hazard model adjusting for age, sex, education, and family history of diabetes, physical activity, obesity (BMI ≥ 30 kg/m(2)), antihypertensive and lipid-lowering medication, and baseline fasting plasma glucose in a stepwise manner. RESULTS: Among 3931 participants, three cMetS-S trajectory groups of low (24.1%), medium (46.8%), and high (29.1%) were identified during the exposure period. Participants in the medium and high cMetS-S trajectory classes had HRs of 2.44 (95% CI: 1.56–3.81) and 6.81 (95% CI: 4.07–10.01) for future diabetes in fully adjusted models, respectively. Normoglycemic individuals within the high cMetS-S class had an over seven-fold increased risk of diabetes (HR: 7.12; 95% CI: 6.05–12.52). CONCLUSION: Although most adults exhibit an unhealthy metabolic score, its severity usually remains stable throughout adulthood over ten years of follow-up. The severity score of metabolic syndrome has the potential to be utilized as a comprehensive and easily measurable indicator of cardiometabolic dysfunction. It can be employed in clinical settings to detect and track individuals at a heightened risk of developing T2DM, even if their glucose levels are normal. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04639-w.
format Online
Article
Text
id pubmed-10598905
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-105989052023-10-26 Trajectory patterns of metabolic syndrome severity score and risk of type 2 diabetes Amouzegar, Atieh Honarvar, Mohammadjavad Masoumi, Safdar Khalili, Davood Azizi, Fereidoun Mehran, Ladan J Transl Med Research BACKGROUND: The available evidence indicates that the severity of metabolic syndrome tends to worsen progressively over time. We assessed the trajectory of age and sex-specific continuous MetS severity score (cMetS-S) and its association with the development of diabetes during an 18-year follow-up. METHODS: In a prospective population-based Tehran Lipid and Glucose Study, 3931 eligible participants free of diabetes, aged 20–60 years, were followed at three-year intervals. We examined the trajectories of cMetS-S over nine years using latent growth mixture modeling (LGMM) and subsequent risks of incident diabetes eight years later. The prospective association of identified trajectories with diabetes was examined using the Cox proportional hazard model adjusting for age, sex, education, and family history of diabetes, physical activity, obesity (BMI ≥ 30 kg/m(2)), antihypertensive and lipid-lowering medication, and baseline fasting plasma glucose in a stepwise manner. RESULTS: Among 3931 participants, three cMetS-S trajectory groups of low (24.1%), medium (46.8%), and high (29.1%) were identified during the exposure period. Participants in the medium and high cMetS-S trajectory classes had HRs of 2.44 (95% CI: 1.56–3.81) and 6.81 (95% CI: 4.07–10.01) for future diabetes in fully adjusted models, respectively. Normoglycemic individuals within the high cMetS-S class had an over seven-fold increased risk of diabetes (HR: 7.12; 95% CI: 6.05–12.52). CONCLUSION: Although most adults exhibit an unhealthy metabolic score, its severity usually remains stable throughout adulthood over ten years of follow-up. The severity score of metabolic syndrome has the potential to be utilized as a comprehensive and easily measurable indicator of cardiometabolic dysfunction. It can be employed in clinical settings to detect and track individuals at a heightened risk of developing T2DM, even if their glucose levels are normal. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04639-w. BioMed Central 2023-10-25 /pmc/articles/PMC10598905/ /pubmed/37880756 http://dx.doi.org/10.1186/s12967-023-04639-w 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
Amouzegar, Atieh
Honarvar, Mohammadjavad
Masoumi, Safdar
Khalili, Davood
Azizi, Fereidoun
Mehran, Ladan
Trajectory patterns of metabolic syndrome severity score and risk of type 2 diabetes
title Trajectory patterns of metabolic syndrome severity score and risk of type 2 diabetes
title_full Trajectory patterns of metabolic syndrome severity score and risk of type 2 diabetes
title_fullStr Trajectory patterns of metabolic syndrome severity score and risk of type 2 diabetes
title_full_unstemmed Trajectory patterns of metabolic syndrome severity score and risk of type 2 diabetes
title_short Trajectory patterns of metabolic syndrome severity score and risk of type 2 diabetes
title_sort trajectory patterns of metabolic syndrome severity score and risk of type 2 diabetes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598905/
https://www.ncbi.nlm.nih.gov/pubmed/37880756
http://dx.doi.org/10.1186/s12967-023-04639-w
work_keys_str_mv AT amouzegaratieh trajectorypatternsofmetabolicsyndromeseverityscoreandriskoftype2diabetes
AT honarvarmohammadjavad trajectorypatternsofmetabolicsyndromeseverityscoreandriskoftype2diabetes
AT masoumisafdar trajectorypatternsofmetabolicsyndromeseverityscoreandriskoftype2diabetes
AT khalilidavood trajectorypatternsofmetabolicsyndromeseverityscoreandriskoftype2diabetes
AT azizifereidoun trajectorypatternsofmetabolicsyndromeseverityscoreandriskoftype2diabetes
AT mehranladan trajectorypatternsofmetabolicsyndromeseverityscoreandriskoftype2diabetes