Abstract
BackgroundConflicting evidence exists on the relationship between body mass index (BMI) and serum uric acid (SUA). Therefore, we aimed to evaluate the SUA–BMI relationship in a large-scale epidemiological survey in coastal China.MethodsThis survey was conducted among the general population in the coastal region of China from September 2014 to January 2015. SUA Levels were measured by the automatic Sysmex Chemix-180 biochemical analyzer.ResultsA total of 6098 men (BMI: 24.58 ± 3.74 kg/m2) and 7941 women (24.56 ± 3.64 kg/m2) were included in this study. A stronger positive BMI-SUA association was found for men than women (all P-values < 0.05). The piecewise linear spline models indicated a U-shaped relationship of SUA-BMI association for both men and women; and the lowest turning points were at 19.12 kg/m2 for men and 21.3 kg/m2 for women. When BMIs were lower than the nadir point, each 1 kg/m2 increase in BMI related to a 7.74-fold (95% CI − 14.73, − 0.75) reduction for men and 2.70-fold reduction (− 4.47, − 0.94) for women in SUA levels. Once the BMI was higher than the nadir point, each 1 kg/m2 increase in BMI was related to a 5.10-fold (4.44, 5.77) increment for men and 3.93-fold increment (3.42, 4.43) for women in SUA levels. The regression coefficient differences between the two stages were 12.84 (5.66, 20.03) for men and 6.63 (4.65, 8.61) for women.ConclusionsA U-shaped relationship between BMI and SUA was found for both men and women; the association was stronger for men than women.
Highlights
Conflicting evidence exists on the relationship between body mass index (BMI) and serum uric acid (SUA)
As the end product of the metabolic breakdown of purine nucleotides [1], an increasing amount of research has indicated that the role of uric acid (UA) in metabolic syndrome has changed from innocent bystander to central player [2] and UA plays a key role in the development of hypertension [3, 4], hyperglycemia [5], hyperlipidemia [6], and obesity [7]
We evaluated the possible linear and nonlinear relationships between SUA and BMI by multivariate linear regression models and two-piece piecewise regression models adjusted for age, current alcohol consumption status, current smoking status, occupation type, systolic blood pressure (SBP), diastolic blood pressure (DBP), FBS, Estimated glomerular filtration rate (eGFR), low density lipoprotein (LDL), and total cholesterol (TC), among men and women
Summary
Conflicting evidence exists on the relationship between body mass index (BMI) and serum uric acid (SUA). We aimed to evaluate the SUA–BMI relationship in a large-scale epidemiological survey in coastal China. Our previous study found that SUA and blood pressure (BP) might have a nonlinear, instead a simple linear, relationship [3]. In this study, we used data from a large cross-sectional study in China to better understand the relationship between SUA and BMI, and explore whether other. Zhou et al J Transl Med (2019) 17:389 metabolic factors may affect the relationship between SUA and BMI
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