第一临床医学院知识库

目的：分析2013年和2016年嘉峪关市某大型企业18-59岁职工糖代谢异常的患病率变化以及相关危险因素，为企业的糖尿病预防诊治及健康教育提供依据。方法：从酒钢医院杏林神指体检软件系统调取某大型企业2013年及2016年的职工体检数据，使用 SPSS 18.0 和 Stata 11.0 进行统计学分析。计数资料用率或百分比表示，组间比较使用 χ²检验；计量资料用 ±S，组间比较使用方差分析；年龄调整率使用 Stata 中 svy 命令计算，参考2010年全国人口普查结果数据，对两次体检中糖尿病前期患病率进行年龄、性别的标化。危险性因素分析，选择多因素以及单因素无序多分类Logistic回归分析，分析糖代谢异常人群与年龄、性别、体重指数、代谢紊乱、吸烟、饮酒等危险因素的相关关系，计算OR值及其95%CI, P＜ 0.05定义为差异有统计学意义。

结果：1）2013年和2016年人群总体糖尿病患病率分别为10.8%（男11.5%，女10.0%）和10.6%（男11.3 %，女9.8%），差异无统计学意义。（P>0.05）。2）性别、年龄标准化后糖尿病前期患病率2013年为22.7%（男性25.9%，女性 13.5%）；2016年为 20.2%（男性 24.2%，女性 12.0%，）男性均高于女性，差异有统计学意义（P＜0.05）；与2013年相比，2016年糖尿病前期患病率在50~59岁年龄段差异有统计学意义（P<0.05）。3）50-59岁年龄段糖尿病、糖尿病前期的患病率最高。4）糖代谢异常的单因素结果分析显示增龄、性别、体重指数、血脂异常、饮酒、吸烟、文化程度、ALT异常有统计学意义。多变量校正后结果发现增龄、性别、体重指数、饮酒、吸烟、文化程度、血脂异常与糖代谢异常相关（均P＜0.05），其中增龄为第一位的影响因素。结论：2013年和2016年相比嘉峪关市某大型企业职工糖代谢异常患病率无明显变化。性别、增龄、超重、高血压、血脂异常、吸烟、饮酒、文化程度为糖代谢异常患病率升高的相关危险因素。

Objective:To analyse in 2013 and 2016, some large enterprise in jiayuguan city 18 to5 years old worker is the prevalence of sugar metabolism and its associated risk factors, provide the basis for enterprise of diabetes prevention and health education.Methods:The staff physical examination data of a large enterprise in 2013 and 2016 were collected from the software system of xinglin shenzhi medical examination in jiugang hospital, and statistical analysis was carried out using SPSS 18.0 and Stata 11.0. The rate or percentage of counting data is expressed. The data were measured with plus or minus S, and the variance analysis was used for comparison between groups. The age adjustment rate was calculated by using the svy command in Stata, and the prediabetes prevalence rate in the two physical examinations was normalized by age and gender according to the data of the 2010 national population census. Risk factor analysis, select the multi-factor Logistic regression analysis and single factor disorderly classification, analysis of the sugar metabolic abnormalities crowd with age, sex, body mass index (bmi), metabolic disorders, and the correlation between risk factors such as smoking, drinking alcohol, calculate the OR and 95% CI, P < 0.05 is defined as the difference was statistically significant.

Results:1) The overall prevalence of diabetes in 2013 and 2016 was 10.8% (11.5% for men and 10.0% for women) and 10.6% (11.3% for men and 9.8% for women), respectively, with no statistically significant difference. (P = 0.982).2) The prediabetes prevalence rate after gender and age standardization was 22.67% in 2013 (25.85% for males and 13.46% for females); In 2016, 20.15% of men (24.18% of men, 12.04% of women) were higher than women, and the difference was statistically significant (P < 0.05). Compared with 2013, the prediabetes prevalence rate in 2016 was reduced (P=0.558), and the difference between the ages of 50 and 59 was statistically significant (P=0.007).3) The prevalence rate of diabetes and prediabetes is highest in the age group from 50 to 59.4) Univariate analysis of abnormal glucose metabolism showed that aging, gender, body mass index, dyslipidemia, alcohol consumption, smoking, educational level and ALT abnormality had statistical significance. Multivariate calibration results found that age, sex, body mass index, drinking, smoking, cultural degree, dyslipidemia associated with sugar metabolic abnormalities (all P < 0.05), of which the influence factors of age for the first. In addition, alcohol consumption also increases the risk of abnormal glucose metabolism, but it has no significant relationship with abnormal glucose metabolism (P=0.380 in 2013, P=0.147 in 2016).Conclusion:There was no significant change in the prevalence of abnormal glucose metabolism in a large enterprise in jiayuguan between 2016 and 2013. Men, aging, overweight, dyslipidemia, smoking, alcohol consumption, and education were risk factors for the increased prevalence of abnormal glucose metabolism.