Association of serum uric acid levels with osteoporosis and bone turnover markers in a Chinese population.

Recent evidence shows that uric acid is protective against some neurological diseases, but can be detrimental in many metabolic and cardiovascular disorders. In this study, we examined the association between serum uric acid levels and bone metabolism in Chinese males and postmenopausal females. A total of 943 males and 4256 postmenopausal females were recruited in Shanghai. The levels of serum uric acid and bone turnover markers (BTMs) were detected along with other biochemical traits. In addition, the fat distribution was calculated through MRI and image analysis software, and bone mineral density (BMD) was determined using dual-energy X-ray absorptiometry. For postmenopausal females, the prevalence of osteoporosis was significantly lower in the hyperuricemia group compared with the normouricemic group (P=4.65E-06). In females, serum uric acid level was significantly associated with osteoporosis, with odds ratio (OR) and 95% confidence interval (95% CI) of 0.844 [0.763; 0.933] (P=0.0009) after adjusting for age, body mass index, HbA1c, lean mass, visceral and subcutaneous fat areas, albumin, 25-hydroxyvitamin D3 [25(OH)D3], and parathyroid hormone (PTH). In females, serum uric acid level was positively correlated with the BMD of the femoral neck (ß±SE: 0.0463±0.0161; P=0.0042), total hip (ß±SE: 0.0433±0.0149; P=0.0038) and L1-4 (ß±SE: 0.0628±0.0165; P=0.0001) after further adjusting for age, BMI, HbA1c, lean mass, VFA, SFA, albumin, 25(OH)D3 and PTH. Regarding BTMs, serum uric acid level was negatively correlated with N-terminal procollagen of type I collagen (PINP) in females (ß±SE: -0.1311±0.0508; P=0.0100). In summary, our results suggest that uric acid has a protective effect on bone metabolism independent of body composition in Chinese postmenopausal females.

Non-alcoholic fatty liver disease's prevalence and impact on alanine aminotransferase associated with metabolic syndrome in the Chinese.

BACKGROUND AND AIM: Non-alcoholic fatty liver disease (NAFLD) is becoming a major public health hazard in China. The present study aimed to estimate the prevalence of NAFLD, NAFLD with abnormal serum alanine aminotransferase (ALT) levels, and determine the potential associations of ALT levels with the components of metabolic syndrome (MetS) in the absence or presence of NAFLD in Chinese adults. METHODS: A population-based cross-sectional survey was conducted with 2226 participants. Physical examinations, laboratory tests and hepatic ultrasounds were performed. Individuals were further stratified into higher or lower ALT subgroups with the upper quartiles of ALT in this population. The MetS was identified according to the criteria of the Chinese Joint Committee for Developing Chinese Guidelines (JCDCG). RESULTS: The standardized prevalence of NAFLD was 23.3% (NAFLD with abnormal ALT levels, 3.1%), 26.5% (NAFLD with abnormal ALT levels, 5.1%) in males, and 19.7% (NAFLD with abnormal ALT levels, 0.9%) in females. Multivariate logistic analysis revealed that higher ALT was significantly associated with elevated triglyceride (TG) in the non-NAFLD participants, independent of age, smoking status, drinking status, and other MetS-related measures with odds ratios (95% confidence intervals) of 3.4 (1.6-7.1) and 2.3 (1.4-3.7) in males and females, respectively. On the other hand, the higher ALT was statistically associated with elevated TG and hyperglycemia in the NAFLD cases with odds ratios of 2.2 to 2.5 (P<0.05). CONCLUSIONS: The prevalence of NAFLD has become epidemic in Shanghai adults. NAFLD combined with ALT levels may be used to identify the individuals at the different risk levels of metabolic disorders.

[A case control study on the risk factors of proteinuria in patients with type 2 diabetes].

OBJECTIVE: To assess factors predisposing to proteinuria in patients with type 2 diabetes mellitus (DM). METHODS: A case-control study was conducted on two groups of patients with type 2 diabetes without proteinuria (urine protein < 300 mg/24 h, n = 106) and with proteinuria (urine protein >or= 500 mg/24 h, n = 106). The two groups were matched by age (+/- 3 years), sex, race and place of residence. Information on these subjects including demography, history of disease, family history of diseases, lifestyle and behavioral variables, were obtained through questionnaire. Variables including blood pressure, fasting blood glucose (FBG), quantity of protein in 24-h urine were measured. Cox's proportional hazards regression analysis was then performed. RESULTS: Factors that were independently associated with the development of proteinuria, would include occupation, diabetic duration, glycemic control, hypertension, duration of hypertension and daily intake of vegetable after diagnosis of DM. Their corresponding odds ratios (OR) with 95% confidence intervals (CI) were 2.429 (1.299 - 4.542), 1.078 (1.029 - 1.131), 2.316 (1.341 - 3.998), 1.810 (1.059 - 3.092), 1.043 (1.012 - 1.074) and 0.551 (0.334 - 0.907), respectively, while the presence of proteinuria was not associated with family history of DM, family history of hypertension, certain dietary habits and smoking habit. Multivariate logistic regression model was then fitted with three variables, including diabetic duration, glycemic control and hypertension. CONCLUSION: The prevalence of proteinuria in labor workers was higher than that in intellectuals. Longer history of diabetic duration, poor glycemic control, hypertension and longer duration of hypertension all independently contributed to the development of proteinuria. The risk of proteinuria decreased with increasing daily intake of vegetables after the patients being diagnosed as having DM.

[Application of Excel Visual Basic for efficiently complete statistic analysis].

OBJECTIVE: In order to analyze multiple statistic tables more efficiently Excel Visual Basic for Application (VBA) was introduced through the use of an example of calculating standardized mortality rates (SMRs). METHODS: Mortality data of cancer and cardiovascular diseases, by sex and age, have been collected from 1991 to 2003 by the Center for Disease Control and Prevention of Shanghai Huangpu District. Standard population composition was defined as Chinese census statistics in 2000. The male's SMRs were calculated, using Excel VBA for each year and classification of cancers. RESULTS: The male's SMRs were obtained by year and different cancers. At the same time, the results were listed in the cancer's SMRs table for male. CONCLUSIONS: Excel is more flexible than general database on the combination of data and annotation. Excel VBA is better than the basic Excel in operating multiple tables simultaneously and man-machine conversation. Statistic analysis can be efficiently completed by using Excel VBA.