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Impact of Longitudinal Changes in Metabolic Syndrome Status over 2 Years on 10-Year Incident Diabetes Mellitus

BACKGROUND: Metabolic syndrome (MetS) is a known predictor of diabetes mellitus (DM), but whether longitudinal changes in MetS status modify the risk for DM remains unclear. We investigated whether changes in MetS status over 2 years modify the 10-year risk of incident DM. METHODS: We analyzed data...

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Autores principales: Huh, Ji Hye, Ahn, Sung Gyun, Kim, Young In, Go, Taehwa, Sung, Ki-Chul, Choi, Jae Hyuk, Koh, Kwang Kon, Kim, Jang Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Diabetes Association 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712218/
https://www.ncbi.nlm.nih.gov/pubmed/30877706
http://dx.doi.org/10.4093/dmj.2018.0111
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author Huh, Ji Hye
Ahn, Sung Gyun
Kim, Young In
Go, Taehwa
Sung, Ki-Chul
Choi, Jae Hyuk
Koh, Kwang Kon
Kim, Jang Young
author_facet Huh, Ji Hye
Ahn, Sung Gyun
Kim, Young In
Go, Taehwa
Sung, Ki-Chul
Choi, Jae Hyuk
Koh, Kwang Kon
Kim, Jang Young
author_sort Huh, Ji Hye
collection PubMed
description BACKGROUND: Metabolic syndrome (MetS) is a known predictor of diabetes mellitus (DM), but whether longitudinal changes in MetS status modify the risk for DM remains unclear. We investigated whether changes in MetS status over 2 years modify the 10-year risk of incident DM. METHODS: We analyzed data from 7,317 participants aged 40 to 70 years without DM at baseline, who took part in 2001 to 2011 Korean Genome Epidemiology Study. Subjects were categorized into four groups based on repeated longitudinal assessment of MetS status over 2 years: non-MetS, resolved MetS, incident MetS, and persistent MetS. The hazard ratio (HR) of new-onset DM during 10 years was calculated in each group using Cox models. RESULTS: During the 10-year follow-up, 1,099 participants (15.0%) developed DM. Compared to the non-MetS group, the fully adjusted HRs for new-onset DM were 1.28 (95% confidence interval [CI], 0.92 to 1.79) in the resolved MetS group, 1.75 (95% CI, 1.30 to 2.37) in the incident MetS group, and 1.98 (95% CI, 1.50 to 2.61) in the persistent MetS group (P for trend <0.001). The risk of DM in subjects with resolved MetS was significantly attenuated compared to those with persistent MetS over 2 years. In addition, the adjusted HR for 10-year developing DM gradually increased as the number of MetS components increased 2 years later. CONCLUSION: We found that discrete longitudinal changes pattern in MetS status over 2 years associated with 10-year risk of DM. These findings suggest that monitoring change of MetS status and controlling it in individuals may be important for risk prediction of DM.
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spelling pubmed-67122182019-09-04 Impact of Longitudinal Changes in Metabolic Syndrome Status over 2 Years on 10-Year Incident Diabetes Mellitus Huh, Ji Hye Ahn, Sung Gyun Kim, Young In Go, Taehwa Sung, Ki-Chul Choi, Jae Hyuk Koh, Kwang Kon Kim, Jang Young Diabetes Metab J Original Article BACKGROUND: Metabolic syndrome (MetS) is a known predictor of diabetes mellitus (DM), but whether longitudinal changes in MetS status modify the risk for DM remains unclear. We investigated whether changes in MetS status over 2 years modify the 10-year risk of incident DM. METHODS: We analyzed data from 7,317 participants aged 40 to 70 years without DM at baseline, who took part in 2001 to 2011 Korean Genome Epidemiology Study. Subjects were categorized into four groups based on repeated longitudinal assessment of MetS status over 2 years: non-MetS, resolved MetS, incident MetS, and persistent MetS. The hazard ratio (HR) of new-onset DM during 10 years was calculated in each group using Cox models. RESULTS: During the 10-year follow-up, 1,099 participants (15.0%) developed DM. Compared to the non-MetS group, the fully adjusted HRs for new-onset DM were 1.28 (95% confidence interval [CI], 0.92 to 1.79) in the resolved MetS group, 1.75 (95% CI, 1.30 to 2.37) in the incident MetS group, and 1.98 (95% CI, 1.50 to 2.61) in the persistent MetS group (P for trend <0.001). The risk of DM in subjects with resolved MetS was significantly attenuated compared to those with persistent MetS over 2 years. In addition, the adjusted HR for 10-year developing DM gradually increased as the number of MetS components increased 2 years later. CONCLUSION: We found that discrete longitudinal changes pattern in MetS status over 2 years associated with 10-year risk of DM. These findings suggest that monitoring change of MetS status and controlling it in individuals may be important for risk prediction of DM. Korean Diabetes Association 2019-08 2019-02-20 /pmc/articles/PMC6712218/ /pubmed/30877706 http://dx.doi.org/10.4093/dmj.2018.0111 Text en Copyright © 2019 Korean Diabetes Association http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Huh, Ji Hye
Ahn, Sung Gyun
Kim, Young In
Go, Taehwa
Sung, Ki-Chul
Choi, Jae Hyuk
Koh, Kwang Kon
Kim, Jang Young
Impact of Longitudinal Changes in Metabolic Syndrome Status over 2 Years on 10-Year Incident Diabetes Mellitus
title Impact of Longitudinal Changes in Metabolic Syndrome Status over 2 Years on 10-Year Incident Diabetes Mellitus
title_full Impact of Longitudinal Changes in Metabolic Syndrome Status over 2 Years on 10-Year Incident Diabetes Mellitus
title_fullStr Impact of Longitudinal Changes in Metabolic Syndrome Status over 2 Years on 10-Year Incident Diabetes Mellitus
title_full_unstemmed Impact of Longitudinal Changes in Metabolic Syndrome Status over 2 Years on 10-Year Incident Diabetes Mellitus
title_short Impact of Longitudinal Changes in Metabolic Syndrome Status over 2 Years on 10-Year Incident Diabetes Mellitus
title_sort impact of longitudinal changes in metabolic syndrome status over 2 years on 10-year incident diabetes mellitus
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712218/
https://www.ncbi.nlm.nih.gov/pubmed/30877706
http://dx.doi.org/10.4093/dmj.2018.0111
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