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Objective:To investigate the influence of hemoglobin glycation index (HGI) on the risk of incident chronic kidney disease (CDK) among nondiabetic patients.Methods:Prospective cohort study. At baseline, a total of 7 407 nondiabetic patients without a history of CKD from Pingguoyuan Community of the Shijingshan District in Beijing were included from December 2011 to August 2012, who were then divided into three groups according to the tertiles of their baseline HGI levels. The CKD incidence rate was compared among the different HGI groups at last follow-up. Cox multivariable regression was applied to evaluate whether HGI measures predicted CKD risk. Test for trend across tertiles were examined using ordinal values in separate models.Results:The mean age of the subjects was (56.4±7.5) years, and 4 933 (66.6%) were female. At mean follow-up of 3.23 years, 107 (1.4%) individuals developed CKD. The incidence of CKD was gradually increasing from the low to high HGI groups [1.1% (28/2 473) vs. 1.2% (31/2 564) vs. 2.0% (48/2 370), P=0.016]. In the multivariate Cox regression analysis, after adjustment for potential confounders, the high HGI group had a 68.5% increased risk of CKD compared with the low HGI group ( HR=1.685, 95% CI 1.023 to 2.774). CKD risk increased with increasing HGI tertiles ( P for trend=0.028). Conclusion:High HGI is associated with an increased risk for CKD in the nondiabetic population, indicating that HGI may help identify individuals at high risk for CKD.
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Objective To investigate changes in bone mineral density (BMD) and analyze its related factors in community populations to provide the early diagnosis of osteoporosis (OP) and give right guidance to prevent osteoporosis. Methods The quantitative ultrasound BMD analyzer was used to measure BMD of heel in 8 711 adults in community. At the same time a questionnaire survey was conducted among these subjects. The data were analyzed by Logistic stepwise regression analysis. Results With the age changing, males and females tended to have different BMD variation. Male and female's BMD peak values were respectively in 35-age group, 30-age group and decreased as age increased. T value of BMD was different between male and female (-1.40(-2.0--0.7)vs-1.3(-2.0--0.5))(P<0.001). Both men and women had a higher incidence of low bone mass (53.34%vs 47.46%), and the difference was significant (P<0.001), whereas the incidence of osteoporosis after 55 years of age between men and women was statistically significance (P<0.05). BMD was the lowest for female than for male in 50-age group, and the prevalence rate of OP was remarkably increased. Analysis of related factors of BMD showed that body mass index (BMI), age, diabetes and menopause were risk facts. Conclusion The BMD among adults is related to many factors, in which the age, BMI and menopause are the most important factors. Much attention should be paid to low bone mass phenomenon, timely monitoring, timely intervention, develop healthy working and living habits, is important to the prevention of osteoporosis and its complications.
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Objective To analyze the relationship between obesity and arterial stiffness among population of different glucose tolerance status. Methods A cross-sectional study recruited the population aged 40 years or older from ShiJingShan district in Beijing. 9080 subjects were included by measured weight, waist circumference (WC), body mass index (BMI), waist/hip ratio (WHR) and WC/height ratio (WHtR) and hemodynamic indexes and the aortic stiffness (using brachial-ankle pulse wave velocity(baPWV). They were divided into 3 groups based on the results of OGTT and diabetes history: normal glucose tolerance group ( NGT group) ,impaired glucose regulation group ( IGR group) and diabetes mellitus group ( DM group) . The association between baPWV and different obese indexes was analyzed by multi-ple linear regression. Results According to the criterion of WC, WHR and WHtR, baPWV of central obesity group was significantly higher than the normal group(P0. 05), but it was of sta-tistically significant differences in NGT group and IGR group. Central obese indexes( WC、WHR、WHtR) showed a positive correlation to PWV in the studied groups(P0. 05). After adjusting for age, gender and cardiovascular risk factors, the multiple regression analysis found that for every 0. 1 point increase in WHR and WHtR, the PWV increased 40. 6 cm/s and 55. 3cm/s respectively. Conclusion There is a positive correlation between central obese indexes (WC、WHR、WHtR) and arterial stiffness, and the central obese indexes correlated with arterial stiffness better than BMI.