AUTHOR=He Huijing , Pan Li , Ren Xiaolan , Wang Dingming , Du Jianwei , Cui Ze , Zhao Jingbo , Wang Hailing , Wang Xianghua , Liu Feng , Pa Lize , Peng Xia , Wang Ye , Yu Chengdong , Shan Guangliang TITLE=The Effect of Body Adiposity and Alcohol Consumption on Serum Uric Acid: A Quantile Regression Analysis Based on the China National Health Survey JOURNAL=Frontiers in Nutrition VOLUME=Volume 8 - 2021 YEAR=2022 URL=https://www.frontiersin.org/journals/nutrition/articles/10.3389/fnut.2021.724497 DOI=10.3389/fnut.2021.724497 ISSN=2296-861X ABSTRACT=Excess adiposity and alcohol consumption are reported to be associated with higher level of serum uric acid (SUA), but whether their effect differs on SUA percentile distribution are still unclear. In this study we aimed to investigate how alcohol intake, body fat percentage (%BF) integrated with body mass index (BMI) influencing the distribution of serum uric acid in Chinese adults. Data from the China National Health Survey which included adults from 10 provinces of China were used (n=31746, 20-80 years old, 40% male). %BF and BMI were integrated into eight expanded body composition groups to understand how excess body adiposity affect the distribution of SUA in the populational level. Self-report alcohol intake information was collected by face-to-face questionnaire. Quantile regression (QR) was used to analyze the data. We found that excess adiposity and alcohol consumption were associated with SUA, especially at the upper percentile in both sexes. In obese men, the QR coefficient at the 75th and 95th percentile was 74.0(63.1-84.9) and 80.9(52.5-109.3), respectively. The highest quartile of %BF in men had a 92.6(79.3-105.9) mol/l higher SUA levels at its 95th percentile than the first quartile (P<0.001). Comparing with normal/underweight with the lowest %BF group (NWBF1), the obesity-highest %BF group (OBBF4) had the strongest positive effect on SUA, especially at the higher percentile of SUA. In BMI defined normal/underweight participants, higher quartile of %BF has greater effect size in all SUA percentiles. In men, current alcohol drinking had the strongest effect at the 95th percentile of SUA (regression coefficient: 31.8, with 95% CI: 22.6-41.0) comparing with 14.5, 95% CI of 8.4 to 20.6 in the 5th SUA percentile. High risk of alcohol consumption had greater effect on SUA, especially in higher SUA percentile. The observation of stronger association at the higher percentile of SUA suggest that decreasing excess body adiposity and alcohol intake at the populational-level may shift the upper tails of the SUA distributions to lower values, thereby reduce the incidence of hyperuricemia.