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Association between different obesity phenotypes and hypothyroidism: a study based on a longitudinal health management cohort
PURPOSE: Obese individuals have an increased risk of hypothyroidism. This study investigated the sex-specific association between obesity phenotypes and the development of hypothyroidism. METHODS: The study population was derived from a health management cohort in Shandong Provincial Hospital from 2...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8159820/ https://www.ncbi.nlm.nih.gov/pubmed/33818715 http://dx.doi.org/10.1007/s12020-021-02677-2 |
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author | Wang, Yupeng Lin, Haiyan Li, Qihang Guan, Liying Zhao, Meng Zhong, Fang Liu, Jing Yuan, Zhongshang Guo, Honglin Song, Yongfeng Gao, Ling Zhao, Jiajun |
author_facet | Wang, Yupeng Lin, Haiyan Li, Qihang Guan, Liying Zhao, Meng Zhong, Fang Liu, Jing Yuan, Zhongshang Guo, Honglin Song, Yongfeng Gao, Ling Zhao, Jiajun |
author_sort | Wang, Yupeng |
collection | PubMed |
description | PURPOSE: Obese individuals have an increased risk of hypothyroidism. This study investigated the sex-specific association between obesity phenotypes and the development of hypothyroidism. METHODS: The study population was derived from a health management cohort in Shandong Provincial Hospital from 2012 to 2016. In total, 9011 baseline euthyroid adults were included and classified into four groups according to obesity phenotype: metabolically healthy nonobese (MHNO), metabolically healthy obese (MHO), metabolically unhealthy nonobese (MUNO), and metabolically unhealthy obese (MUO). The median follow-up time was 1.92 (1.00–2.17) years. Incidence density was evaluated and a generalized estimation equation method was used to investigate the associations between obesity phenotypes and the development of hypothyroidism. RESULTS: The incidence densities of hypothyroidism in males with a consistent obesity phenotype were 12.19 (8.62–16.76), 15.87 (11.39–21.56), 14.52 (6.74–27.57), and 19.88 (14.06–27.34) per 1000 person-years in the MHNO, MHO, MUNO, and MUO groups, respectively. After adjusting for confounding factors, compared with the MHNO phenotype, the MHO, MUNO, and MUO phenotypes were independent risk factors for developing hypothyroidism in males. In the subgroup analysis, the MHO and MUO phenotypes were independent risk factors for developing hypothyroidism in males under 55 years, while the MUNO phenotype was an independent risk factor in males over 55 years. The MHO, MUNO, and MUO phenotypes were not independent risk factors for hypothyroidism in females. CONCLUSION: Both obesity and metabolic abnormities are associated with a higher risk of hypothyroidism in males. The underlying mechanism of the sex and age differences in this association needs further investigation. |
format | Online Article Text |
id | pubmed-8159820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-81598202021-06-01 Association between different obesity phenotypes and hypothyroidism: a study based on a longitudinal health management cohort Wang, Yupeng Lin, Haiyan Li, Qihang Guan, Liying Zhao, Meng Zhong, Fang Liu, Jing Yuan, Zhongshang Guo, Honglin Song, Yongfeng Gao, Ling Zhao, Jiajun Endocrine Original Article PURPOSE: Obese individuals have an increased risk of hypothyroidism. This study investigated the sex-specific association between obesity phenotypes and the development of hypothyroidism. METHODS: The study population was derived from a health management cohort in Shandong Provincial Hospital from 2012 to 2016. In total, 9011 baseline euthyroid adults were included and classified into four groups according to obesity phenotype: metabolically healthy nonobese (MHNO), metabolically healthy obese (MHO), metabolically unhealthy nonobese (MUNO), and metabolically unhealthy obese (MUO). The median follow-up time was 1.92 (1.00–2.17) years. Incidence density was evaluated and a generalized estimation equation method was used to investigate the associations between obesity phenotypes and the development of hypothyroidism. RESULTS: The incidence densities of hypothyroidism in males with a consistent obesity phenotype were 12.19 (8.62–16.76), 15.87 (11.39–21.56), 14.52 (6.74–27.57), and 19.88 (14.06–27.34) per 1000 person-years in the MHNO, MHO, MUNO, and MUO groups, respectively. After adjusting for confounding factors, compared with the MHNO phenotype, the MHO, MUNO, and MUO phenotypes were independent risk factors for developing hypothyroidism in males. In the subgroup analysis, the MHO and MUO phenotypes were independent risk factors for developing hypothyroidism in males under 55 years, while the MUNO phenotype was an independent risk factor in males over 55 years. The MHO, MUNO, and MUO phenotypes were not independent risk factors for hypothyroidism in females. CONCLUSION: Both obesity and metabolic abnormities are associated with a higher risk of hypothyroidism in males. The underlying mechanism of the sex and age differences in this association needs further investigation. Springer US 2021-04-05 2021 /pmc/articles/PMC8159820/ /pubmed/33818715 http://dx.doi.org/10.1007/s12020-021-02677-2 Text en © The Author(s) 2021 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Wang, Yupeng Lin, Haiyan Li, Qihang Guan, Liying Zhao, Meng Zhong, Fang Liu, Jing Yuan, Zhongshang Guo, Honglin Song, Yongfeng Gao, Ling Zhao, Jiajun Association between different obesity phenotypes and hypothyroidism: a study based on a longitudinal health management cohort |
title | Association between different obesity phenotypes and hypothyroidism: a study based on a longitudinal health management cohort |
title_full | Association between different obesity phenotypes and hypothyroidism: a study based on a longitudinal health management cohort |
title_fullStr | Association between different obesity phenotypes and hypothyroidism: a study based on a longitudinal health management cohort |
title_full_unstemmed | Association between different obesity phenotypes and hypothyroidism: a study based on a longitudinal health management cohort |
title_short | Association between different obesity phenotypes and hypothyroidism: a study based on a longitudinal health management cohort |
title_sort | association between different obesity phenotypes and hypothyroidism: a study based on a longitudinal health management cohort |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8159820/ https://www.ncbi.nlm.nih.gov/pubmed/33818715 http://dx.doi.org/10.1007/s12020-021-02677-2 |
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