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武汉市杨园社区居民糖调节受损人群危险因素分析 被引量:2

Risk Factor for Residents with Impaired Glucose Regulation from Yangyuan Community,Wuhan City
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摘要 目的了解社区人群糖调节受损(impaired glueose regulation,IGR)的临床特征,探讨其主要危险因素,为制定预防和干预措施提供依据。方法选取武汉市杨园社区卫生服务中心2015年健康档案中IGR人群260例和正常人群100例,比较分析各组间临床特征,运用单因素和多因素非条件Logistic回归分析,探讨影响IGR发生的危险因素。结果单因素分析结果显示,糖调节受损人群中在糖尿病家族史、高血脂、高血压、腰臀比超标、体质指数超标等因素方面差异有统计学意义(P<0.05);多因素非条件Logistic回归分析结果提示,糖尿病家族史(χ~2=6.16,P=0.01)、高血脂因素(χ~2=5.57,P=0.02)差异有统计学意义(P<0.05)。结论有糖尿病家族史、高血脂、高血压、腰臀比超标、体质指数超标等为糖调节受损人群相关风险因子,有糖尿病家族史、高血脂为糖调节受损人群的独立危险因素。 Objectives To understand the clinical features of the community population with impaired glucose regulation(IGR),and explore the major risk factors to provide the basis for the development of prevention and intervention measures.Methods 260 cases of IGR residents and 100 cases of heath residents were chosen from the 2015 health record in a community health service center.A comparative analysis of clinical characteristics between groups was made,in which univariate and multivariate unconditional Logistic regression analysis were applied to explore risk factors that affected IGR occurrence.Results Univariate analysis showed that among IGR population:the differences in family history of diabetes,high cholesterol,high blood pressure,excess in waist-hip ratio,excess in body mass index and other factors were statistically significant(P〈0.05).Multivariate unconditional logistic regression analysis showed that the differences in family history of diabetes(χ^2=6.16,P=0.01)factor and high blood lipids factor(χ^2=5.57,P=0.02)were statistically significant(P〈0.05).Conclusions Family history of diabetes,high cholesterol,and high blood pressure,excess in waist-hip ratio and excess in body mass index are the associated risk factors for people with IGR.Family histories of diabetes and high cholesterol are independent risk factors for people with IGR.
机构地区 武汉市武昌医院
出处 《中国社会医学杂志》 2017年第3期274-276,共3页 Chinese Journal of Social Medicine
基金 湖北省自然科学基金项目(2012FF10101)
关键词 糖调节受损 危险因素 糖尿病 Impaired glucose regulation Risk factors Diabetes
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