POS1421\u2005HIGHER SERUM URIC ACID IS ASSOCIATED WITH INCREASED RISK OF OBESITY IN CHINESE ADULTS: A LONGITUDINAL DATA ANALYSIS

Abstract

Hyperuricemia has been reported to be significantly associated with risk of obesity. However, previous studies on the association between serum uric acid (SUA) and body mass index (BMI) yielded conflicting results.The present study examined the relationship between SUA and obesity among Chinese adults.Data were collected at Guangdong Second Provincial General Hospital in Guangzhou City, China between January 2010 and December 2018. Participants with ≥2 medical checkup times were included in our analyses. Logistic regression model (LRM) was performed for data at baseline. For all participants, generalized estimation equation (GEE) model was used to assess the association between SUA and obesity, where the data were repeatedly measured over the nine-year study period. We calculated the cut-off values for SUA of obesity using the receiver operating characteristic curves (ROC) technique.A total of 15,959 participants (10,023 males and 5,936females) were included in this study, with an average age of 37.38 years (SD: 13.27) and average SUA of 367.05 μmol/L (SD: 97.97) at baseline, respectively. Finally, 1078 participants developed obesity over the 9-year period. The prevalence of obesity was approximately 14.2% for high SUA level. In logistic regression analysis at baseline, we observed a positive association between SUA and risk of obesity: OR=1.84 (95% CI: 1.77,1.90) for per-SD increase in SUA. Considering repeated measures over 9-year for all participants in the GEE model, the per-SD OR was 1.85 (95% CI:1.77,1.91) for SUA and the increased risk of obesity were greater for male (OR=1.45) and elderly participants (OR=1.01). The SUA cutoff points for risk of obesity using ROC curves were approximately consistent with the international standard.Our study observed higher SUA level was associated with increased risk of obesity. More high-quality research is needed to further support these findings.[1]Nagahama S, Kashino I, Hu H, Nanri A, Kurotani K, Kuwahara K et al. Haemoglobin A1c and hearing impairment: longitudinal analysis using a large occupational health check-up data of Japan. BMJ open 2018; 8(9): e023220.[2]Kim YJ, Park H. Improving Prediction of High-Cost Health Care Users with Medical Check-Up Data. Big data 2019; 7(3): 163-175.[3]Ishizaka N, Ishizaka Y, Toda A, Tani M, Koike K, Yamakado M et al. Changes in waist circumference and body mass index in relation to changes in serum uric acid in Japanese individuals. The Journal of rheumatology 2010; 37(2): 410-6.Figure 1.Location of Guangdong Second Provincial General Hospital (Guangzhou, Guangdong, China) and the prevalence of obesity by different years stratified by baseline SUA.None declared