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Hyperglycemia analysis in some community population in Xuhui District of Shanghai in 2010 and 2015 / 上海预防医学
Article en Zh | WPRIM | ID: wpr-876205
Biblioteca responsable: WPRO
ABSTRACT
Objective To investigate the hyperglycemia rate and its correlative factors for the undiagnosed diabetes population in Xuhui District of Shanghai, and to provide the basis for early intervention of diabetes mellitus. Methods Multi-stage cluster sampling was adopted by probability proportionate to size method, and physical examination information and questionnaires were made and collected from 10 130 and 9085 people in 2010 and 2015 respectively from 5 000 households, blood-glucose being examined at the same time.Univariate analysis was made by t test and χ2 test and logistic regression was used for analysis of related factors. Results In 2010 and 2015, the diabetes incidence rate was 2.21% and 1.93% respectively, and the hyperglycemia incidence rate in 2015 was higher than that in 2010 (15.28% vs. 12.63%), both increased with age and BMI value.The rate was higher in those with lower education, abnormal blood pressure, self-reported hypertension, self-reported coronary heart disease and smokers.The logistic regression analysis results showed the incidence of diabetes was positively correlated with age, BMI, abnormal blood pressure and smoking, while the incidence of hyperglycemia was positively correlated with the survey year, sex, age, BMI and abnormal blood pressure; both were negatively correlated with educational level. Conclusion The hyperglycemia incidence rate is high among the community undiagnosed diabetic population.We should focus on high-risk screening for diabetes mellitus, and key intervention of the population with low educational level, overweight and obesity, hypertension and unhealthy lifestyle.
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Texto completo: 1 Base de datos: WPRIM Idioma: Zh Revista: Shanghai Journal of Preventive Medicine Año: 2020 Tipo del documento: Article
Texto completo: 1 Base de datos: WPRIM Idioma: Zh Revista: Shanghai Journal of Preventive Medicine Año: 2020 Tipo del documento: Article