Literature DB >> 24702838

Associations of serum uric acid levels with cardiovascular health factors: differences by sex, age and body mass index in Chinese participants.

Tingting Du1, Xingxing Sun2, Huiming Lu3, Xuan Lin4, Qian Liu1, Rui Huo1, Xuefeng Yu5.   

Abstract

BACKGROUND: Recently, the American Heart Association developed a set of 3 ideal cardiovascular (CV) health factors. However, information on whether associations of uric acid (UA) with the CV health factors is influenced by sex, age, and body mass index (BMI) is limited.
METHODS: We conducted a cross-sectional analysis using a cohort of 10,420 people aged 20-100 years, who underwent health checkups in 2009. CV health factors were defined as untreated total cholesterol (TC)<200mg/dl, untreated systolic/diastolic blood pressure (BP)<120/80 mm Hg, and untreated fasting plasma glucose (FPG)<100mg/dl.
RESULTS: The association of UA with each CV health factor was gender-specific. The interaction terms (gender × UA level) comparing change in prevalence of each CV health factor between the 1st and 4th UA quartiles showed a significantly greater reduction among women (all P<0.01). In addition, the interactions between UA levels and age on prevalence of each CV health factor were statistically significant (all P<0.01). Furthermore, absolute reductions in the prevalence of ideal levels of BP, and TC across ordinal UA quartiles were greater in obese individuals than in overweight and normal-weight individuals (all P<0.01). Finally, UA showed a bell-curved relation with the prevalence of ideal FPG among all BMI categories.
CONCLUSIONS: Elevated UA inversely associated with each CV health factor and these associations were influenced by gender, age and BMI. Elevated UA levels should alert clinical suspicion for a potential coexistence of low frequency of CV health factors.
Copyright © 2014 European Federation of Internal Medicine. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Blood pressure; Fasting plasma glucose; Total cholesterol; Uric acid

Mesh:

Substances:

Year:  2014        PMID: 24702838     DOI: 10.1016/j.ejim.2014.03.004

Source DB:  PubMed          Journal:  Eur J Intern Med        ISSN: 0953-6205            Impact factor:   4.487


  7 in total

1.  Added predictive value of high uric acid for cardiovascular events in the Ambulatory Blood Pressure International Study.

Authors:  Gianpaolo Reboldi; Paolo Verdecchia; Francesca Saladini; Marina Pane; Lawrence J Beilin; Kazuo Eguchi; Yutaka Imai; Kazuomi Kario; Takayoshi Ohkubo; Sante D Pierdomenico; Joseph E Schwartz; Lindon Wing; Paolo Palatini
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-06-06       Impact factor: 3.738

2.  Changes in Cardiovascular Health Status and the Risk of New-Onset Hypertension in Kailuan Cohort Study.

Authors:  Fei Gao; Xiaoxue Liu; Xizhu Wang; Shouhua Chen; Jihong Shi; Ying Zhang; Shouling Wu; Jun Cai
Journal:  PLoS One       Date:  2016-07-19       Impact factor: 3.240

3.  The triglyceride and glucose index (TyG) is an effective biomarker to identify nonalcoholic fatty liver disease.

Authors:  Shujun Zhang; Tingting Du; Jianhua Zhang; Huiming Lu; Xuan Lin; Junhui Xie; Yan Yang; Xuefeng Yu
Journal:  Lipids Health Dis       Date:  2017-01-19       Impact factor: 3.876

4.  Combined effect of obesity and uric acid on nonalcoholic fatty liver disease and hypertriglyceridemia.

Authors:  Shujun Zhang; Tingting Du; Mengni Li; Huiming Lu; Xuan Lin; Xuefeng Yu
Journal:  Medicine (Baltimore)       Date:  2017-03       Impact factor: 1.889

5.  The association between elevated serum uric acid levels and islet β-cell function indexes in newly diagnosed type 2 diabetes mellitus: a cross-sectional study.

Authors:  Yimeng Hu; Jie Liu; Huiqiong Li; Hui Zhu; Linjie Liu; Yin Yuan; Jing Chen; Ye Wang; Xuemei Hu; Yancheng Xu
Journal:  PeerJ       Date:  2018-03-09       Impact factor: 2.984

Review 6.  Effects of Uric Acid on Diabetes Mellitus and Its Chronic Complications.

Authors:  Qing Xiong; Jie Liu; Yancheng Xu
Journal:  Int J Endocrinol       Date:  2019-10-13       Impact factor: 3.257

7.  Triglyceride glucose-body mass index is effective in identifying nonalcoholic fatty liver disease in nonobese subjects.

Authors:  Shujun Zhang; Tingting Du; Mengni Li; Jing Jia; Huiming Lu; Xuan Lin; Xuefeng Yu
Journal:  Medicine (Baltimore)       Date:  2017-06       Impact factor: 1.889

  7 in total

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