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Associations of non-traditional cardiovascular risk factors and body mass index with metabolic syndrome in the Chinese elderly population
BACKGROUND: Metabolic syndrome (MetS), a clustering of traditional cardiovascular risk factors (CVRF), is currently one of the major global public health burdens. However, associations between MetS and non-traditional CVRF represented by uric acid (UA), homocysteine (HCY) and hypersensitive C-reacti...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10273701/ https://www.ncbi.nlm.nih.gov/pubmed/37322514 http://dx.doi.org/10.1186/s13098-023-01047-4 |
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author | You, Aijun Li, Yaxin Shen, Chaonan Fan, Huimin He, Jia Liu, Zhongmin Xue, Qian Zhang, Yuzhen Zheng, Liang |
author_facet | You, Aijun Li, Yaxin Shen, Chaonan Fan, Huimin He, Jia Liu, Zhongmin Xue, Qian Zhang, Yuzhen Zheng, Liang |
author_sort | You, Aijun |
collection | PubMed |
description | BACKGROUND: Metabolic syndrome (MetS), a clustering of traditional cardiovascular risk factors (CVRF), is currently one of the major global public health burdens. However, associations between MetS and non-traditional CVRF represented by uric acid (UA), homocysteine (HCY) and hypersensitive C-reactive protein (HsCRP) have not been well explored in the elderly population, especially when considering body mass index (BMI). METHODS: Participants from the Shanghai Elderly Cardiovascular Health (SHECH) study cohort in 2017 were analyzed. MetS was defined using the modified American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Logistic regression models were used to assess associations of non-traditional CVRF, BMI with MetS. RESULTS: Of the 4360 participants analyzed, 2378 (54.5%) had MetS, the mean (SD) UA was 331 (86) µmol/L, and the median (IQR) HCY and HsCRP were 15 (13–18) µmol/L and 1.0 (0.5–2.1) mg/L, respectively. Participants with higher non-traditional CVRF tended to have a higher significant risk of MetS (P < 0.001), which did not changed substantially in most population subgroups (P-interaction > 0.05). BMI mediated 43.89% (95%CI: 30.38–57.40%), 37.34% (95% CI: 13.86–60.83%) and 30.99% (95%CI: 13.16–48.83%) of associations of hyperuricemia (HUA), hyperhomocysteinemia (HHCY) and high HsCRP (HHsCRP) with MetS, respectively. Abnormal non-traditional CVRF combined with overweight/obesity greatly increased MetS risk (adjusted OR(95%CI): HUA + Overweight: 5.860(4.059-8.461); 6.148(3.707–10.194); HHCY + Overweight: 3.989(3.107-5.121); HHCY + Obese: 5.746(4.064–8.123); HHsCRP + Overweight: 4.026(2.906-5.580); HHsCRP + Obese: 7.717(4.508–13.210)). CONCLUSIONS: In the Chinese elderly population, HUA, HHCY, and HHsCRP were all significantly and independently associated with MetS, supporting the potential of focusing on non-traditional CVRF interventions for preventing and controlling MetS. BMI played moderate mediating roles in associations between non-traditional CVRF and MetS, and abnormal non-traditional CVRF combined with overweight/obesity had significant synergistic effects on MetS risk, highlighting the importance of better weight management in the elderly population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01047-4. |
format | Online Article Text |
id | pubmed-10273701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102737012023-06-17 Associations of non-traditional cardiovascular risk factors and body mass index with metabolic syndrome in the Chinese elderly population You, Aijun Li, Yaxin Shen, Chaonan Fan, Huimin He, Jia Liu, Zhongmin Xue, Qian Zhang, Yuzhen Zheng, Liang Diabetol Metab Syndr Research BACKGROUND: Metabolic syndrome (MetS), a clustering of traditional cardiovascular risk factors (CVRF), is currently one of the major global public health burdens. However, associations between MetS and non-traditional CVRF represented by uric acid (UA), homocysteine (HCY) and hypersensitive C-reactive protein (HsCRP) have not been well explored in the elderly population, especially when considering body mass index (BMI). METHODS: Participants from the Shanghai Elderly Cardiovascular Health (SHECH) study cohort in 2017 were analyzed. MetS was defined using the modified American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Logistic regression models were used to assess associations of non-traditional CVRF, BMI with MetS. RESULTS: Of the 4360 participants analyzed, 2378 (54.5%) had MetS, the mean (SD) UA was 331 (86) µmol/L, and the median (IQR) HCY and HsCRP were 15 (13–18) µmol/L and 1.0 (0.5–2.1) mg/L, respectively. Participants with higher non-traditional CVRF tended to have a higher significant risk of MetS (P < 0.001), which did not changed substantially in most population subgroups (P-interaction > 0.05). BMI mediated 43.89% (95%CI: 30.38–57.40%), 37.34% (95% CI: 13.86–60.83%) and 30.99% (95%CI: 13.16–48.83%) of associations of hyperuricemia (HUA), hyperhomocysteinemia (HHCY) and high HsCRP (HHsCRP) with MetS, respectively. Abnormal non-traditional CVRF combined with overweight/obesity greatly increased MetS risk (adjusted OR(95%CI): HUA + Overweight: 5.860(4.059-8.461); 6.148(3.707–10.194); HHCY + Overweight: 3.989(3.107-5.121); HHCY + Obese: 5.746(4.064–8.123); HHsCRP + Overweight: 4.026(2.906-5.580); HHsCRP + Obese: 7.717(4.508–13.210)). CONCLUSIONS: In the Chinese elderly population, HUA, HHCY, and HHsCRP were all significantly and independently associated with MetS, supporting the potential of focusing on non-traditional CVRF interventions for preventing and controlling MetS. BMI played moderate mediating roles in associations between non-traditional CVRF and MetS, and abnormal non-traditional CVRF combined with overweight/obesity had significant synergistic effects on MetS risk, highlighting the importance of better weight management in the elderly population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01047-4. BioMed Central 2023-06-16 /pmc/articles/PMC10273701/ /pubmed/37322514 http://dx.doi.org/10.1186/s13098-023-01047-4 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 You, Aijun Li, Yaxin Shen, Chaonan Fan, Huimin He, Jia Liu, Zhongmin Xue, Qian Zhang, Yuzhen Zheng, Liang Associations of non-traditional cardiovascular risk factors and body mass index with metabolic syndrome in the Chinese elderly population |
title | Associations of non-traditional cardiovascular risk factors and body mass index with metabolic syndrome in the Chinese elderly population |
title_full | Associations of non-traditional cardiovascular risk factors and body mass index with metabolic syndrome in the Chinese elderly population |
title_fullStr | Associations of non-traditional cardiovascular risk factors and body mass index with metabolic syndrome in the Chinese elderly population |
title_full_unstemmed | Associations of non-traditional cardiovascular risk factors and body mass index with metabolic syndrome in the Chinese elderly population |
title_short | Associations of non-traditional cardiovascular risk factors and body mass index with metabolic syndrome in the Chinese elderly population |
title_sort | associations of non-traditional cardiovascular risk factors and body mass index with metabolic syndrome in the chinese elderly population |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10273701/ https://www.ncbi.nlm.nih.gov/pubmed/37322514 http://dx.doi.org/10.1186/s13098-023-01047-4 |
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