论文部分内容阅读
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 To investigate the sources of heterogeneity of overweight (BMI ≥25) in the study of risk assessment of hypertension. Methods Heterogeneity analysis was performed on the retrieved documents, and the univariate and multivariate Meta-Regression tests were performed on factors such as “study time, sex ratio, average age, sample size, case-control ratio, study area longitude, study area latitude” Analysis, screening out the factors that led to the emergence of heterogeneity, and subjective analysis of these meaningful factors. Results There was obvious heterogeneity in the included literature (P <0.05). Meta-analysis and multivariate regression analysis indicated that the heterogeneity of the literature came from “sample size”, “average age”, “ Position ”(P <0.05), heterogeneity was significantly reduced after subgroup analysis. Conclusions The large sample study can make the results of the study more credible, while the overweight heterogeneity mainly comes from the age and geographical difference of the study population. Therefore, for the areas lacking the baseline data, the local large sample multi-factor the study.