论文部分内容阅读
目的通过对宁波市鄞州区居民开展有针对性的调查,分析发现导致脑梗死发生的危险因素,为有效防控脑梗死发生提供参考。方法选择鄞州区居民作为调查对象,通过体格检查、问卷调查等方式,将临床上已确诊脑梗死病例作为观察组,按照1:1的原则为每例患者设置一个研究对象为对照组,然后对脑梗死发病相关危险因素进行单因素、多因素分析。结果单因素分析,两组均进行吸烟、饮酒比较,相比较结果以P>0.05为差异无统计学意义;文化程度比较发现,文化程度越高,脑梗死发生率也越高,P<0.05表明差异有统计学意义;离休人员、工人及失业下岗人员、务农人员为脑梗死保护因素,比较分析P<0.05,表明差异有统计学意义;高血压、冠心病、高血压用药史及近两周是否用药比较发现,P<0.05表示差异有统计学意义。单因素分析显示,甘油三酯、舒张压、低密度脂蛋白、胆固醇、尿酸、血清脂蛋白高为居民泛发脑梗死的危险因素。多因素分析认为,文化程度(OR=1.552)、冠心病(OR=2.381)、舒张压(OR=1.072)为脑梗死患者发病高危因素。结论分析结果显示,导致鄞州区居民发生脑梗死的影响因素较多,需根据该地区居民发病特点实行干预,以及早发现危险因素,提高人们对诱发脑梗死危险因素的认识,进而采取有效措施预防脑梗死发生。
Objective To investigate the risk factors of cerebral infarction by investigating the residents in Yinzhou District of Ningbo City for the purpose of effectively preventing and treating the occurrence of cerebral infarction. Methods Residents in Yinzhou District were selected as the subjects of investigation. Physical examination and questionnaire were used to treat the clinically confirmed cases of cerebral infarction as the observation group. One patient was selected as the control group according to the principle of 1: 1. The incidence of cerebral infarction related risk factors by single factor, multivariate analysis. Results of univariate analysis, smoking and drinking were compared in both groups, compared with the results of P> 0.05 for the difference was not statistically significant; compared with the level of education found that the higher the educational level, the higher the incidence of cerebral infarction, P <0.05 The difference was statistically significant; retired staff, workers and unemployed laid-off workers, farm workers for the protection of cerebral infarction, a comparative analysis of P <0.05, indicating that the difference was statistically significant; hypertension, coronary heart disease, history of hypertension and nearly two weeks Whether the use of drugs found that P <0.05 said the difference was statistically significant. Univariate analysis showed that triglycerides, diastolic blood pressure, low density lipoprotein, cholesterol, uric acid and serum lipoprotein were risk factors for residents with generalized cerebral infarction. In the multivariate analysis, the educational level (OR = 1.552), coronary heart disease (OR = 2.381) and diastolic blood pressure (OR = 1.072) were the risk factors for the patients with cerebral infarction. Conclusions The analysis shows that there are many influencing factors of cerebral infarction in residents of Yinzhou District. It is necessary to intervene according to the characteristics of residents in this area to detect the risk factors as soon as possible and to raise awareness of the risk factors of cerebral infarction, and then to take effective measures to prevent it Cerebral infarction occurs.