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目的了解2014年管内不同人群体检中与血脂相关的生化指标异常值分布与构成情况,为管内防治慢性病工作提供科学依据。同时,为管内慢性病常态化监测管理提出合理化建议。方法收集2014年管内职工健康体检资料,主要针对与血脂有关的血液中的总胆固醇、甘油三脂、高密度脂蛋白、低密度脂蛋白四种生化指标检测结果进行描述性分析和χ2检验。结果管内库尔勒、阿克苏、喀什三地区人群的总胆固醇、甘油三脂、高密度脂蛋白、低密度脂蛋白生化指标异常率分别为5.42%、28.39%、32.14%、3.00%,各地区之间经χ2检验P>0.05无统计学差异,针对机务、工务、车辆、车务、客运、电务、供电、其他等八部门的四种异常生化指标分析,所占百分比较大的为机务、工务、其他部门。管内不同性别人群中男、女生化指标相比:总胆固醇、低密度脂蛋白χ2值分别为3.27、1.06均P>0.05无统计学差异。甘油三脂、高密度脂蛋白χ2值分别为158.92、335.62均P<0.05有统计学差异。结论通过对管内不同人群健康体检中血脂相关生化指标异常率进行长期动态监测,可提示我们针对不同异常生化指标,采取对应的影响因素的调查,针对不同职业在异常生化指标构成情况,选择优先考虑干预的工种,以控制相应慢性病的发生。
Objective To understand the distribution and composition of blood lipid-related biochemical abnormalities in different groups of people in 2014 and provide a scientific basis for the prevention and treatment of chronic diseases in the tube. At the same time, rationalization of monitoring and management of chronic diseases in the tube is put forward. Methods The physical examination data of employees in the tube were collected in 2014, and the biochemical indexes of total cholesterol, triglyceride, high density lipoprotein and low density lipoprotein in the blood were analyzed by descriptive analysis and χ2 test. Results The abnormal rates of total cholesterol, triglyceride, high density lipoprotein and low density lipoprotein in the Korla, Aksu and Kashgar areas were 5.42%, 28.39%, 32.14% and 3.00% respectively. χ2 test P> 0.05 There was no significant difference. According to the analysis of four abnormal biochemical indexes of eight departments such as mechanization, engineering, vehicle, vehicle, passenger transport, electricity supply, power supply and others, other department. Compared with male and female biochemical indexes in different sex groups, the χ2 values of total cholesterol and low density lipoprotein were 3.27 and 1.06, respectively, with no statistical difference. Triglyceride, high density lipoprotein χ2 values were 158.92,335.62 P <0.05 statistically significant. Conclusion Long-term dynamic monitoring of the abnormal rate of blood-lipid-related biochemical indexes in different groups of healthy people can prompt us to investigate different abnormal biochemical indexes and to take the corresponding influencing factors. According to the composition of abnormal biochemical indexes in different occupations, we should give priority to Interventions to control the occurrence of the corresponding chronic diseases.