Objective : To explore the spatial distribution of occupational diseases in Guangdong Province and to provide evidence for the policy development of occupational disease prevention and control. Methods : A database of occupational disease incidence from 2009 to 2016 in Guangdong Province was built. The distribution of occupational diseases in Guangdong Province was displayed based on the geographic information system（GIS）, then spatial autocorrelation analysis and trend-surface analysis were carried out to explore the clustering areas and spatial epidemic characteristics of occupational diseases in Guangdong Province. Results : The number of cases with occupational diseases was 5 231 and was increasing year by year from 2009 to 2016 in Guangdong Province. The high-incidence areas were located in Guangzhou,Shenzhen,Foshan and Dongguan. Through global spatial autocorrelation analysis,it was found that there were spatial clustering of occupational diseases in Guangdong Province in each year（P<0.05）,and the cumulative incidence was also clustered（Moran's I=0.492,P<0.05）. The number of cases in Guangzhou,Shenzhen,Foshan and Dongguan had local spatial autocorrelation,and the local Moran's I values were 10.329,8.614,3.725 and 9.811,respectively（P<0.05）. The results of trend surface analysis showed that the overall incidence of occupational disease had a slight increase from west to east,and the Pearl River Delta region was a high-incidence area. Conclusion The incidence of occupational diseases in Guangdong Province had an obvious spatial clustering,the Pearl River Delta region was a high-incidence area.

Objective:To explore the relationship between the triglyceride glucose (TyG) index and impairment of renal function in community-dwelling middle-aged and elderly population.Methods:A total of 4 988 residents aged ≥45 years undergoing health check-up in Yongshun Health Service Center from January 2016 to December 2021 were enrolled and followed up. According to the quartile of the baseline TyG index, all subjects were divided into Q1, Q2, Q3 and Q4 groups. The medical history, physical examination and laboratory test results were documented. Participants were followed up through regular health check-up until March 31, 2023. The outcomes were rapid decline of estimated glomerular filtration rate (eGFR) (a loss in eGFR>3 ml·min -1·1.73 m -2 per year) and the new-onset of chronic kidney disease (CKD) during the follow-up period. Linear regression model, multivariate logistic regression model, restricted cubic spline fitting logistic regression model and ROC curve analysis were used to analyze the association between the TyG index and the impairment of renal function. Results:Among 4 988 residents, 1 396 (28.0%) were males and the age was (59.76±6.28) years. There were 1 247 participants in Q1, Q2, Q3 and Q4 groups, respectively. After 56 months of follow-up, the incidence of rapid eGFR decline and new-onset CKD was 21.9% (1 294/4 988) and 4.0% (200/4 988), respectively. Multivariate logistic regression model analysis showed that TyG index was correlated positively with rapid eGFR decline and new-onset of CKD ( OR=1.34, 95%CI: 1.17-1.52, P<0.001, and OR=1.57, 95%CI:1.19-2.06, P=0.001). Taking group Q1 as a reference, higher levels of TyG index ( Q2, Q3 and Q4 groups) was an independent risk factor for rapid eGFR decline ( P<0.05), which has a dose-response relationship (for trend P=0.002). Compared with the lowest quartile, the adjusted OR of new-onset CKD in the highest quartile was 1.85 ( 95%CI:1.13-3.03, P=0.014). The results of restricted cubic spline fitting logistic regression analysis showed a linear association between TyG index and both outcomes (both P>0.05). The area under ROC curve ( AUC) of the TyG index for predicting the two adverse outcomes were 0.536 ( 95%CI: 0.516-0.556, P<0.001) and 0.588 ( 95%CI:0.548-0.627, P<0.001), respectively. Conclusion:The elevated levels of TyG index may be used as an independent predictor of rapid eGFR decline and new-onset CKD.

Objective:To investigate the association between plasma uric acid and hypertension and the gender difference in community-dwelling middle-aged and elderly population.Methods:A community-based cross-sectional study was conducted in Beijing Tongzhou Yongshun Community Health Service Center from June to December 2021, among residents aged 45 years or older selected by cluster sampling method. According to plasma uric acid (UA) level in quartiles, the subjects were divided into 4 groups; and stratified by gender, the subjects were further divided into subgroups. Multivariate logistic regression model was used to analyze the related factors of hypertension, and restricted cubic spline fitting logistic regression model was used to analyze the nonlinear association between uric acid and hypertension and the cut-off values of uric acid.Results:A total of 6 229 residents with the age of (63.2±7.3) years were enrolled in the study. In 1 874 male participants (30.1%), 946 participants (50.5%) had hypertension, and the uric acid level was 359 (309, 418)μmol/L; in 4 355 female participants (69.9%), 2 003 participants (46.0%) had hypertension, and the uric acid level was 306 (261, 359)μmol/L. Multivariate logistic regression analysis showed that after adjusting for factors that were statistically significant in univariate analyses or potentially clinically relevant (including age, body mass index, diabetes mellitus, coronary heart disease, cerebrovascular disease, albumin, estimated glomerular filtration rate, and cholesterol), uric acid was independently associated with hypertension ( P<0.001), for total participants the risk of hypertension in Q4 group was 1.33 times of that in Q1 group ( OR=1.33,95% CI 1.13-1.56, P=0.001); while for females the risk of hypertension in Q4 group was 1.38 times of that in Q1 group ( OR=1.38,95% CI 1.13-1.68, P=0.002), but no significant association was observed for males ( P>0.05). The results of restricted cubic spline fitting logistic regression analysis showed that there was a linear association between uric acid level and hypertension in the total population and males, and the risk of hypertension increased with uric acid level ( P<0.001 for the total population, P=0.016 for male). However, there was a non-linear association in females. When uric acid>307 μmol/L in females, the risk of hypertension increased significantly as the level of uric acid increased ( P<0.001). Conclusions:Uric acid level was independently associated with hypertension in the community-dwelling middle-aged and elderly population, and there was a gender difference in the correlation. The association was nonlinear in females and the cut-off value of uric acid in females was 307 μmol/L.