论文部分内容阅读
目的了解河南省城市居民糖代谢异常(糖尿病和糖尿病前期)现状及其影响因素,为采取相应的干预措施提出参考依据。方法于2013年5—7月采用多阶段随机整群抽样方法对在河南省18个县区抽取的7 588名15~74岁常住居民进行问卷调查、体格检查和血糖检测。结果河南省城市居民糖尿病患病率为9.16%,标化患病率为9.85%;糖尿病前期患病率为14.02%,标化患病率为14.49%,其中空腹血糖受损率为5.09%,标化患病率为5.24%,糖耐量受损率为8.95%,标化患病率为9.25%;多因素非条件logistic回归分析结果显示,男性、年龄≥40岁、工人、管理和技术人员、离退休人员、其他人员、有糖尿病家族史、超重、肥胖、中心性肥胖、高血压前期和高血压是河南省城市居民糖代谢异常的危险因素,初中及以上文化程度、30 d内和30 d前饮过酒是河南省城市居民糖代谢异常的保护因素。结论河南省城市居民糖代谢异常率较高,性别、年龄、文化程度、职业、饮酒情况、糖尿病家族史、体质指数(BMI)、是否中心性肥胖和高血压分级是该地区居民糖代谢异常的主要影响因素。
Objective To understand the status of glycometabolism abnormalities (diabetes mellitus and pre-diabetes) and their influencing factors in Henan urban residents, and to provide reference for taking corresponding intervention measures. Methods From May to July in 2013, a multistage randomized cluster sampling method was used to conduct questionnaire survey, physical examination and blood sugar test on 7 588 residents aged from 15 to 74 in 18 counties of Henan Province. Results The prevalence of diabetes in urban residents in Henan Province was 9.16% and the standardized prevalence was 9.85%. The pre-diabetes prevalence rate was 14.02% and the standardized prevalence was 14.49%. The impaired fasting glucose was 5.09% Standardized rate of 5.24%, impaired glucose tolerance rate of 8.95%, standardized prevalence rate of 9.25%; multivariate non-conditional logistic regression analysis showed that men, age ≥ 40 years old, workers, management and technical personnel , Retired staff, other staff, family history of diabetes, overweight, obesity, central obesity, prehypertension and hypertension are risk factors for abnormal glucose metabolism in urban residents of Henan Province. In junior high school and above, within 30 days and 30 Drinking alcohol before d is an important protective factor for the abnormal glucose metabolism in urban residents in Henan Province. Conclusion The prevalence of abnormal glucose metabolism in urban residents in Henan Province is high. Sex, age, education, occupation, alcohol consumption, family history of diabetes, body mass index (BMI), central obesity and hypertension are the abnormal glucose metabolism the main factor of influence.