The epidemiological survey of prevalence of NIDDM (non_insulin dependent diabetes mellitus) and IGT(impaired glucose tolerance)was conducted among 9450 residents aged 25～70 in some areas of Hubei Province, China. The...The epidemiological survey of prevalence of NIDDM (non_insulin dependent diabetes mellitus) and IGT(impaired glucose tolerance)was conducted among 9450 residents aged 25～70 in some areas of Hubei Province, China. The results show that NIDDM and IGT prevalences are 2.62% and 4.48%, respectively. There is no significant difference between male and female ( P >0.05). The NIDDM prevalence in cities is slightly higher than that in countryside, but the difference is not significant ( P >0.05). However, the IGT prevalence in city is significantly higher than that in countryside ( P <0.01). The prevalence of both NIDDM and IGT is increasing along with the age of the population. It is also significantly related to the family history of NIDDM, hypertension, and high body mass index (BMI). By using stepwise logistic regression to analyse the risk factors of NIDDM, age ( OR =1.86),BMI( OR =2.69), family history ( OR =2.84) and hypertension \{( OR =2.23)\} entered the model (significance level is α =0.05)展开更多
文摘The epidemiological survey of prevalence of NIDDM (non_insulin dependent diabetes mellitus) and IGT(impaired glucose tolerance)was conducted among 9450 residents aged 25～70 in some areas of Hubei Province, China. The results show that NIDDM and IGT prevalences are 2.62% and 4.48%, respectively. There is no significant difference between male and female ( P >0.05). The NIDDM prevalence in cities is slightly higher than that in countryside, but the difference is not significant ( P >0.05). However, the IGT prevalence in city is significantly higher than that in countryside ( P <0.01). The prevalence of both NIDDM and IGT is increasing along with the age of the population. It is also significantly related to the family history of NIDDM, hypertension, and high body mass index (BMI). By using stepwise logistic regression to analyse the risk factors of NIDDM, age ( OR =1.86),BMI( OR =2.69), family history ( OR =2.84) and hypertension \{( OR =2.23)\} entered the model (significance level is α =0.05)
