高血压病超重因素的异质性分析

Heterogeneity Analysis of Overweight in Hypertension Risk Assessment

目的探讨在高血压患病风险评估研究中超重(BMI≥25)因素的异质性来源。方法对检索的文献进行异质性分析,对"研究时间、男女比、平均年龄、样本量、病例对照比、研究地区经度、研究地区纬度"等因素分别进行单因素和多因素Meta回归分析,筛选出导致异质性出现的重要因素,并对这些有意义的因素进行亚组分析。结果纳入文献存在明显的异质性(P<0.05),单因素和多因素Meta回归分析提示,文献异质性来源于"样本量"、"平均年龄"、"研究地区纬度位置"(P<0.05),经过亚组分析后异质性明显减小。结论大样本研究能使相关研究结果可信度更高,而超重异质性主要来源于研究人群的年龄及地域的差异性,所以对于缺乏基线数据的地区,应积极开展当地的大样本多因素研究。

Objective Research heterogeneous factors of overweight（BMI≥25）in hypertension risk assessments.Methods Make heterogeneity analysis for retrieved literatures.And make univariate and multivariate Meta regression analysis from ＂research time,Male-female ratio,average age,sample size,case-control ratio,longitude,latitude＂ factors to select the significant factors of heterogeneity.At last subgroup analysis was made according to these significant factors.Results There were some heterogeneities in the literatures（P0.05）.Through single and multiple regression Meta analysis.It suggested that heterogeneity comes from ＂sample size＂,＂average age＂,＂study area latitude＂（P0.05）.After subgroup analysis,heterogeneity was reduced notably.Conclusions Large sample study could make research results more credible.Heterogeneity of overweight were mainly from average age and geographical differences of study population.So people who are in the lack of baseline data areas should actively carry out local large sample and multiple factors studies.