Department of Laboratory Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
J Endocrinol Invest. 2013 Sep;36(8):642-7. doi: 10.3275/9004. Epub 2013 Mar 19.
This meta-analysis evaluated the correlations between C-reactive protein (CRP) and obesity in Chinese adults and children. We searched three Chinese databases [Wanfang, WEIPU, and Chinese National Knowledge Infrastructure (CNKI)] in addition to PubMed. The search was restricted to only Chinese studies published online before January 9, 2013. Data from 28 articles were independently abstracted by two reviewers. The articles' characteristics were abstracted as follows: 1) first author name; 2) year of publication; 3) study population; 4) sample size; 5) sex, age, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and CRP level of the study population; 6) Pearson correlation coefficients, Spearman correlation coefficients, or odds ratios between CRP level and obesity. The metaanalysis was conducted to pool the Pearson correlation coefficients using a random-effects model. The pooled Pearson correlation coefficient between CRP and BMI was 0.45 [95% confidence interval (CI): 0.33-0.56] in Chinese adults and 0.46 (95% CI: 0.31-0.62) in Chinese children, and the pooled Pearson correlation coefficient was 0.32 (95% CI: 0.24-0.40) in the general Chinese population and 0.53 (95% CI: 0.42-0.64) in the obese Chinese population. Significant correlation was thus found between CRP and obesity in Chinese adults and children.
本荟萃分析评估了 C-反应蛋白(CRP)与中国成年人和儿童肥胖之间的相关性。我们在万方、维普和中国国家知识基础设施(CNKI)这三个中文数据库中进行了检索,此外还检索了 PubMed。检索仅限于 2013 年 1 月 9 日前在线发表的中文研究。由两位评审员独立摘录 28 篇文章的数据。摘录文章的特征如下:1)第一作者姓名;2)出版年份;3)研究人群;4)样本量;5)研究人群的性别、年龄、体重指数(BMI)、腰围(WC)、腰臀比(WHR)和 CRP 水平;6)CRP 水平与肥胖之间的 Pearson 相关系数、Spearman 相关系数或比值比。使用随机效应模型对 Pearson 相关系数进行荟萃分析。在中国成年人中,CRP 与 BMI 之间的合并 Pearson 相关系数为 0.45[95%置信区间(CI):0.33-0.56],在中国儿童中为 0.46(95%CI:0.31-0.62),在普通中国人群中为 0.32(95%CI:0.24-0.40),在肥胖的中国人群中为 0.53(95%CI:0.42-0.64)。因此,在中国成年人和儿童中发现 CRP 与肥胖之间存在显著相关性。