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BACKGROUND: Diabetes is a metabolic disorder that causes a heavy burden on healthcare systems worldwide. The aim of this study was to determine the prevalence of type 2 diabetes and prediabetes and its associated factors among eight communities in Nanchong, China. METHODS: This was an observational cross-sectional study conducted throughout eight communities in Nanchong, China. The participants were 53,288 individuals aged 45 years or older. The participants' characteristics, comorbidities, health behaviors, family history, and dietary intake were assessed. Multinomial logistic regression models were fitted to identify factors associated with type 2 diabetes and prediabetes. RESULTS: The prevalence of diabetes and prediabetes was 13.9% (95% confidence interval [CI], 13.6-14.2) and 3.1% (95% CI, 2.9-3.2) of the population, respectively. After adjusting for other risk factors, advanced age, overweight, obesity, abdominal obesity, comorbidities, smoking, a family history of diabetes, and Chinese cooking vegetable intake were associated with an increased risk of type 2 diabetes and prediabetes. CONCLUSION: The prevalence of type 2 diabetes in the Chinese population is rising compared with data from the past. The risk factors of type 2 diabetes and prediabetes identified in this study will aid the identification of individuals at a high-risk of diabetes and the implementation of effective health promotion programs and campaigns. CLINICAL TRIAL REGISTRY NUMBER: ChiCTR-HOC-17013200.
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Background: To evaluate the diagnostic accuracy of antineutrophil cytoplasmic antibody (ANCA) renal risk score (ARRS) for prediction of renal outcome in patients with ANCA-associated glomerulonephritis (ANCA-GN). Methods: We searched PubMed, EMBASE, Ovid, Web of Science, the Cochrane Library, and ClinicalTrials.gov for studies, which used ARRS to predict end-stage renal disease (ESRD) in patients with ANCA-GN. Two reviewers independently screened articles for inclusion, assessed the quality of studies with both an adapted Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. We calculated the combined patients with ESRD in the ARRS categories and presented the summary and individual estimates based on the ARRS categories. Then, the sensitivity, specificity, diagnostic odds ratio (DOR), positive/negative likelihood ratio, and the area under the receiver operating characteristic (AUROC) curves of the pooled data for ARRS were used to assess the accuracy of the "above the low-risk threshold" (ARRS ≥ 2) and "high-risk grade" (ARRS ≥ 8) for renal outcome of patients with ANCA-GN. The hierarchical summary ROC (HSROC) was used to verify the accuracy value. The clinical utility of ARRS was evaluated by the Fagan plot. Heterogeneity was explored using meta-regression and subgroup analysis. Results: A total of 12 distinct cohorts from 11 articles involving 1,568 patients with ANCA-GN were analyzed. The cumulative patients with ESRD at the maximum follow-up of 60 months was 5% (95% CI: 0.02-0.07; p < 0.001) for ANCA-GN with low ARRS (0-1 points) and significantly increased to 22% (95% CI: 0.15-0.29; p < 0.001) medium ARRS (2-7 points). The combined cumulative patients with ESRD was 59% (95% CI: 0.49-0.69; p < 0.001) high ARRS (8-11 points). The pooled sensitivity of ARRS ≥ 2 in predicting ESRD was 98% with a specificity of 30% and a DOR of 15.08 and the mean AUROC value was 0.82. The pooled sensitivity of ARRS ≥ 8 in predicting ESRD was 58% with a specificity of 86% and a DOR of 7.59. The meta-regression and subgroup analysis indicated that variation in the geographic regions, study design, index risk, follow-up time, age of patient, publication year, and number of patient could be the potential sources of heterogeneity in the diagnosis of ARRS ≥ 8. Conclusion: This meta-analysis emphasized the good performance of the ARRS score in predicting the renal outcome in patients with ANCA-GN. However, these findings should be verified by future large-scale prospective studies.
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OBJECTIVE: To analyze the risk factors of dyslipidemia of adult residents in Shunqing District of Nanchong City. METHODS: A five-stage stratified cluster sampling method was used to select adult residents from 9 communities in the urban area of Shunqing District of Nanchong City from January 2013 to April 2018 for questionnaires survey,physical measurement and laboratory test. Univariate analysis and multivariate logistic regression analysis were used to study the influencing factors of dyslipidemia. RESULTS: A total of 105 956 people was investigated,and the prevalence rate of dyslipidemia was 34.2% (36 272 cases). Among them, the prevalence rate of male was 38.11%, and 31.91% for female ( P<0.01). The proportion of dyslipidemia with hypertension, diabetes, and coronary heart disease was 13.46%, 5.74%, and 0.39%, respectively. The proportion of hypertension with diabetes was 2.79%. Multivariate logistic regression analysis showed that gender (odds ratio ( OR)=1.276, P<0.001), body mass index ( OR=1.052, P<0.001), education level (set ≤elementary school as reference, high school OR=1.094, P<0.001, ≥graduated OR=1.185, P<0.001), smoking history ( OR=1.124, P<0.001), coronary heart disease ( OR=1.189, P<0.001), hypertension ( OR=1.148, P<0.001),sdiabetes ( OR=1.967, P<0.001), and family history of dyslipidemia ( OR=1.760, P<0.001) were the influencing factors of dyslipidemia in residents of this region. Conclusions The dyslipidemia of urban residents in Nanchong area is highly concerned with hypertension, diabetes, and coronary heart disease. Male, obesity, high education level, smoking, coronary heart disease, hypertension, diabetes, and family history of dyslipidemia are risk factors for dyslipidemia in urban residents of Nanchong area. It is necessary to actively target the above risk factors and high-risk groups.
