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1.
Journal of Zhejiang University. Medical sciences ; (6): 163-168, 2018.
Artigo em Chinês | WPRIM | ID: wpr-687784

RESUMO

<p><b>OBJECTIVE</b>To investigate the prevalence and risk factors of diabetic nephropathy in Ningbo Yinzhou district.</p><p><b>METHODS</b>Nephropathy screening was conducted among patients with type 2 diabetes mellitus (T2DM) registered in Ningbo Yinzhou district. Demographic information, clinical examination information, diabetes complications and behavioral risk factors of enrolled patients were collected. Logistic regression model was used to identify possible risk factors for the occurrence of diabetic nephropathy.</p><p><b>RESULTS</b>Among 10 604 T2DM patients included in this study, there were 3744 cases of diabetic nephropathy(35.31%). Univariate analysis showed that gender, age, education level, diabetes duration, glycemic control, hypertension, stroke, smoking and waist circumference were associated with diabetic nephropathy (<0.05 or <0.01). Multivariate logistic regression analysis showed that male, elders, long diabetes duration, hypertension and smoking were independent risk factors of diabetic nephropathy (<0.05 or <0.01).</p><p><b>CONCLUSIONS</b>sDiabetic nephropathy is of high prevalence in T2DM patients. Male patients, elders, and those with long diabetes duration, hypertension and smoking habits are more likely to have diabetic nephropathy.</p>


Assuntos
Humanos , Masculino , China , Diabetes Mellitus Tipo 2 , Nefropatias Diabéticas , Hipertensão , Modelos Logísticos , Prevalência , Fatores de Risco , Inquéritos e Questionários
2.
Journal of Zhejiang University. Medical sciences ; (6): 607-613, 2016.
Artigo em Chinês | WPRIM | ID: wpr-300840

RESUMO

To explore the association between particulate matter (PM) and daily hospital visits of coronary heart diseases in Ningbo.Daily data of hospital visits from January 2014 to June 2015 (516 days in total) were obtained from the Yinzhou Health Information System in Ningbo. Daily air pollution data for PM and meteorological data were collected from the database of Ningbo Environmental Monitoring Center and Ningbo Meteorological Bureau. Time-series analysis by quasi-Poisson generalized additive model was used to examine the association between air pollution and hospital visits for coronary heart diseases by adjustment of long-term trends, seasonal patterns and meteorological variables (temperature, humidity), and day of week.An increase of an IQR of PMaccounted for 1.98% (95%:-0.59%-4.63%) increase of hospital visits for coronary heart diseases. The associations between PMand hospital visits for coronary heart diseases among female and the elderly (≥75 years) were stronger (=2.70%,95%:0.01%-5.47%;=3.35%, 95%0.12%-6.69%). The effects of PMattenuated after adjustment for PMPMhad short-term effects on daily hospital visits for coronary heart diseases in Ningbo, and such association was stronger among female and the elderly.


Assuntos
Idoso , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Fatores Etários , Poluentes Atmosféricos , Poluição do Ar , China , Epidemiologia , Doença da Artéria Coronariana , Epidemiologia , Hospitais , Umidade , Material Particulado , Estações do Ano , Fatores Sexuais , Temperatura , Fatores de Tempo
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