目的:探讨中青年人群急性心肌梗死发病的主要危险因素.方法:在中国知网、维普、万方、CBM、PubMed、Embase、Web of Science、the Cochrane Library等数据库中,检索从建库至2023年2月,中青年人群急性心肌梗死危险因素的病例对照研究和队列研究.采用纽卡斯卡-渥太华量表(NOS)对文献进行质量评价,应用Stata 14.0软件进行Meta分析.结果:本研究纳入15篇文献,病例组患者2 961例,对照组患者57 604例,共7项危险因素.Meta分析结果显示,男性(OR=4.79,95%CI:3.28~6.99)、合并高血压(OR=2.77,95%CI:2.07~3.70)、合并糖尿病(OR=2.65,95%CI:1.89~3.71)、早发冠心病家族史(OR=3.66,95%CI:2.51~5.32)、吸烟(OR=2.29,95%CI:1.92~2.73)、合并高脂血症(OR=1.87,95%CI:1.67~2.10)、睡眠不足(OR=1.97,95%CI:1.57~2.47)为中青年人群发生急性心肌梗死的危险因素(P<0.05).结论:男性、合并高血压、合并糖尿病、早发冠心病家族史、吸烟、高脂血症及睡眠不足均为中青年人群发生急性心肌梗死的危险因素.
Risk factors for acute myocardial infarction in young and middle-aged population:A meta-analysis
Objective:To explore the main risk factors for acute myocardial infarction in young and middle-aged population.Methods:CNKI,VIP,Wanfang,CBM,PubMed,Embase,Web of Science,and the Cochrane Library databases were searched for case-control and cohort studies on the risk factors of acute myocardial infarction in young and middle-aged population from the establishment of the database to Feb 2023.The quality of the literature was evaluated using the Newcastle-Ottawa Scale(NOS).Meta-analysis was conducted using Stata 14.0 software.Results:A total of 15 articles were included in this study,including 2 961 patients in the case group and 57 604 patients in the control group.Results of the meta-analysis showed that male(OR=4.79,95%CI:3.28-6.99),hypertension(OR=2.77,95%CI:2.07-3.70),diabetes mellitus(OR=2.65,95%CI:1.89-3.71),family history of early-onset coronary heart disease(OR=3.66,95%CI:2.51-5.32),smoking(OR=2.29,95%CI:1.92-2.73),hyperlipidemia(OR=1.87,95%CI:1.67-2.10),insufficient sleep(OR=1.97,95%CI:1.57-2.47)were the risk factors for acute myocardial infarction in young and middle-aged population.Conclusion:Male,hypertension,diabetes,family history of early-onset coronary heart disease,smoking,hyperlipidemia and insufficient sleep are risk factors of acute myocardial infarction in young and middle-aged population.
young and middle-aged populationacute myocardial infarctionrisk factorsmeta-analysis