Bai Xue1, Ji Bin Tan2, Feng Ning3, Jian Ping Sun3, Ke Yi Zhang3, Li Liu3, Shao Jie Wang3, Dong Feng Zhang4, Qing Qiao5, Zeng Chang Pang3. 1. Department of Nutrition and Food Hygiene, Medical College of Qingdao University, Qingdao 260071, Shandong, China; Center for Disease Control and Prevention, Qingdao 266033, Shandong, China. 2. School of Public Health, Jilin University, Changchun 130021, Jilin, China; Chinese Center for Disease Control and Prevention, Beijing 100050, China. 3. Center for Disease Control and Prevention, Qingdao 266033, Shandong, China. 4. Department of Nutrition and Food Hygiene, Medical College of Qingdao University, Qingdao 260071, Shandong, China. 5. Department of Public Health, University of Helsinki 00014, Finland.
Abstract
OBJECTIVE: To determine whether elevated serum uric acid (UA) levels are associated with type 2 diabetes diagnosed using HbA1c levels among Chinese adults. METHODS: We conducted two population-based cross-sectional studies in Qingdao in China in 2006 and 2009. A total of 6894 (39.4% men) subjects aged 35-74 years were included in the data analysis. Newly diagnosed diabetes was defined as HbA1c level of ⋝6.5%, and prediabetes was classified as HbA1c level between 5.7% and 6.4% according to the International Diabetes Federation criteria. Multivariate logistic regression was employed to assess the association between UA and prevalence of type 2 diabetes defined using Glycated hemoglobin A1c (HbA1c) levels. RESULTS: Subjects with prediabetes had higher UA levels than those with normal glucose tolerance, newly diagnosed diabetes, and known diabetes, with corresponding values of 325.1 (82.5) µmol/L, 310.9 (84.2) µmol/L, 291.3 (81.7) µmol/L, 305.2 (83.6) µmol/L, respectively (P<0.001 for all comparisons). Binary logistic regression analysis showed that UA was a possible predictor for the prevalence of type 2 diabetes diagnosed using HbA1c levels, and the second quartile of UA levels had a higher odds ratio (OR: 4.088; 95% CI: 2.900-5.765) for HbA1c than the other quartiles after adjusting for age, body mass index, sex, marital status, education, income, alcohol consumption, smoking, and cardiometabolic parameters. CONCLUSION: Serum UA is significantly associated with type 2 diabetes diagnosed using HbA1c levels, independent of other cardiometabolic parameters.
OBJECTIVE: To determine whether elevated serum uric acid (UA) levels are associated with type 2 diabetes diagnosed using HbA1c levels among Chinese adults. METHODS: We conducted two population-based cross-sectional studies in Qingdao in China in 2006 and 2009. A total of 6894 (39.4% men) subjects aged 35-74 years were included in the data analysis. Newly diagnosed diabetes was defined as HbA1c level of ⋝6.5%, and prediabetes was classified as HbA1c level between 5.7% and 6.4% according to the International Diabetes Federation criteria. Multivariate logistic regression was employed to assess the association between UA and prevalence of type 2 diabetes defined using Glycated hemoglobin A1c (HbA1c) levels. RESULTS: Subjects with prediabetes had higher UA levels than those with normal glucose tolerance, newly diagnosed diabetes, and known diabetes, with corresponding values of 325.1 (82.5) µmol/L, 310.9 (84.2) µmol/L, 291.3 (81.7) µmol/L, 305.2 (83.6) µmol/L, respectively (P<0.001 for all comparisons). Binary logistic regression analysis showed that UA was a possible predictor for the prevalence of type 2 diabetes diagnosed using HbA1c levels, and the second quartile of UA levels had a higher odds ratio (OR: 4.088; 95% CI: 2.900-5.765) for HbA1c than the other quartiles after adjusting for age, body mass index, sex, marital status, education, income, alcohol consumption, smoking, and cardiometabolic parameters. CONCLUSION: Serum UA is significantly associated with type 2 diabetes diagnosed using HbA1c levels, independent of other cardiometabolic parameters.