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Risk factors for electrocardiographic left ventricular hypertrophy in a young Chinese general population: the Hanzhong adolescent cohort study

BACKGROUND: Electrocardiographic left ventricular hypertrophy (ECG-LVH) is a common manifestation of preclinical cardiovascular disease. The present study aimed to investigate risk factors for ECG-LVH and its prevalence in a cohort of young Chinese individuals. METHODS: (1) A total of 1515 participa...

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Autores principales: Liao, Yue-Yuan, Gao, Ke, Fu, Bo-Wen, Yang, Lei, Zhu, Wen-Jing, Ma, Qiong, Chu, Chao, Yan, Yu, Wang, Yang, Zheng, Wen-Ling, Hu, Jia-Wen, Wang, Ke-Ke, Sun, Yue, Chen, Chen, Mu, Jian-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011382/
https://www.ncbi.nlm.nih.gov/pubmed/33789587
http://dx.doi.org/10.1186/s12872-021-01966-y
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author Liao, Yue-Yuan
Gao, Ke
Fu, Bo-Wen
Yang, Lei
Zhu, Wen-Jing
Ma, Qiong
Chu, Chao
Yan, Yu
Wang, Yang
Zheng, Wen-Ling
Hu, Jia-Wen
Wang, Ke-Ke
Sun, Yue
Chen, Chen
Mu, Jian-Jun
author_facet Liao, Yue-Yuan
Gao, Ke
Fu, Bo-Wen
Yang, Lei
Zhu, Wen-Jing
Ma, Qiong
Chu, Chao
Yan, Yu
Wang, Yang
Zheng, Wen-Ling
Hu, Jia-Wen
Wang, Ke-Ke
Sun, Yue
Chen, Chen
Mu, Jian-Jun
author_sort Liao, Yue-Yuan
collection PubMed
description BACKGROUND: Electrocardiographic left ventricular hypertrophy (ECG-LVH) is a common manifestation of preclinical cardiovascular disease. The present study aimed to investigate risk factors for ECG-LVH and its prevalence in a cohort of young Chinese individuals. METHODS: (1) A total of 1515 participants aged 36–45 years old from our previously established cohort who were followed up in 2017 were included. Cross-sectional analysis was used to examine risk factors for ECG-LVH and its prevalence. (2) A total of 235 participants were recruited from the same cohort in 2013 and were followed up in 2017. Longitudinal analysis was used to determine the predictors of LVH occurrence over the 4-year period. We used multivariable logistic regression models to calculate OR and 95% CIs and to analyze risk factors for ECG-LVH. RESULTS: In the cross-sectional analysis, the prevalence of LVH diagnosed by the Cornell voltage-duration product in the overall population and the hypertensive population was 4.6% and 8.8%, respectively. The logistic regression results shown that female sex [2.611 (1.591–4.583)], hypertension [2.638 (1.449–4.803)], systolic blood pressure (SBP) [1.021 (1.007–1.035)], serum uric acid (SUA) [1.004 (1.001–1.006)] and carotid intima-media thickness (CIMT) [67.670 (13.352–342.976)] were significantly associated with the risk of LVH (all P < 0.05). In the longitudinal analysis, fasting glucose [1.377 (1.087–1.754)], SBP [1.046 (1.013–1.080)] and female sex [1.242 (1.069–1.853)] were independent predictors for the occurrence of LVH in the fourth year of follow-up. CONCLUSIONS: Our study suggested that female sex, hypertension, SBP, SUA and CIMT were significantly associated with the risk of LVH in young people. In addition, fasting glucose, SBP and female sex are independent predictors of the occurrence of LVH in a young Chinese general population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-021-01966-y.
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spelling pubmed-80113822021-04-01 Risk factors for electrocardiographic left ventricular hypertrophy in a young Chinese general population: the Hanzhong adolescent cohort study Liao, Yue-Yuan Gao, Ke Fu, Bo-Wen Yang, Lei Zhu, Wen-Jing Ma, Qiong Chu, Chao Yan, Yu Wang, Yang Zheng, Wen-Ling Hu, Jia-Wen Wang, Ke-Ke Sun, Yue Chen, Chen Mu, Jian-Jun BMC Cardiovasc Disord Research Article BACKGROUND: Electrocardiographic left ventricular hypertrophy (ECG-LVH) is a common manifestation of preclinical cardiovascular disease. The present study aimed to investigate risk factors for ECG-LVH and its prevalence in a cohort of young Chinese individuals. METHODS: (1) A total of 1515 participants aged 36–45 years old from our previously established cohort who were followed up in 2017 were included. Cross-sectional analysis was used to examine risk factors for ECG-LVH and its prevalence. (2) A total of 235 participants were recruited from the same cohort in 2013 and were followed up in 2017. Longitudinal analysis was used to determine the predictors of LVH occurrence over the 4-year period. We used multivariable logistic regression models to calculate OR and 95% CIs and to analyze risk factors for ECG-LVH. RESULTS: In the cross-sectional analysis, the prevalence of LVH diagnosed by the Cornell voltage-duration product in the overall population and the hypertensive population was 4.6% and 8.8%, respectively. The logistic regression results shown that female sex [2.611 (1.591–4.583)], hypertension [2.638 (1.449–4.803)], systolic blood pressure (SBP) [1.021 (1.007–1.035)], serum uric acid (SUA) [1.004 (1.001–1.006)] and carotid intima-media thickness (CIMT) [67.670 (13.352–342.976)] were significantly associated with the risk of LVH (all P < 0.05). In the longitudinal analysis, fasting glucose [1.377 (1.087–1.754)], SBP [1.046 (1.013–1.080)] and female sex [1.242 (1.069–1.853)] were independent predictors for the occurrence of LVH in the fourth year of follow-up. CONCLUSIONS: Our study suggested that female sex, hypertension, SBP, SUA and CIMT were significantly associated with the risk of LVH in young people. In addition, fasting glucose, SBP and female sex are independent predictors of the occurrence of LVH in a young Chinese general population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-021-01966-y. BioMed Central 2021-03-31 /pmc/articles/PMC8011382/ /pubmed/33789587 http://dx.doi.org/10.1186/s12872-021-01966-y Text en © The Author(s) 2021 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article
Liao, Yue-Yuan
Gao, Ke
Fu, Bo-Wen
Yang, Lei
Zhu, Wen-Jing
Ma, Qiong
Chu, Chao
Yan, Yu
Wang, Yang
Zheng, Wen-Ling
Hu, Jia-Wen
Wang, Ke-Ke
Sun, Yue
Chen, Chen
Mu, Jian-Jun
Risk factors for electrocardiographic left ventricular hypertrophy in a young Chinese general population: the Hanzhong adolescent cohort study
title Risk factors for electrocardiographic left ventricular hypertrophy in a young Chinese general population: the Hanzhong adolescent cohort study
title_full Risk factors for electrocardiographic left ventricular hypertrophy in a young Chinese general population: the Hanzhong adolescent cohort study
title_fullStr Risk factors for electrocardiographic left ventricular hypertrophy in a young Chinese general population: the Hanzhong adolescent cohort study
title_full_unstemmed Risk factors for electrocardiographic left ventricular hypertrophy in a young Chinese general population: the Hanzhong adolescent cohort study
title_short Risk factors for electrocardiographic left ventricular hypertrophy in a young Chinese general population: the Hanzhong adolescent cohort study
title_sort risk factors for electrocardiographic left ventricular hypertrophy in a young chinese general population: the hanzhong adolescent cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011382/
https://www.ncbi.nlm.nih.gov/pubmed/33789587
http://dx.doi.org/10.1186/s12872-021-01966-y
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