Akbari Maryam, Lankarani Kamran B, Naghibzadeh-Tahami Ahmad, Tabrizi Reza, Honarvar Behnam, Kolahdooz Fariba, Borhaninejad Vahidreza, Asemi Zatollah
Health Policy Research Center, Institute of Health, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Diabetes Metab Syndr. 2019 May-Jun;13(3):1949-1955. doi: 10.1016/j.dsx.2019.04.011. Epub 2019 Apr 12.
The current systematic review and meta-analysis of randomized controlled trials (RCTs) was conducted to summarize the effect of mobile health (m-health) interventions on lipid profiles among patients with metabolic syndrome and related disorders.
Cochrane Library, EMBASE, PubMed, and Web of Science databases were searched to indentify the relevant randomized clinical trials published up April 30, 2018. Two reviewers examined study eligibility, extracted data, and assessed risk of bias of included clinical trials, individually. Heterogeneity was measured using I-square (I) statistic and Cochran's Q test. Data were pooled the standardized mean difference (SMD) effect size by the random-effect model.
18 trials of 1681 citations were identified to be appropriate for the current meta-analysis. Findings random-effects model indicated that m-health interventions significantly decreased total- (SMD -0.54; 95% CI, -1.05, -0.03) and LDL-cholesterol levels (SMD -0.66; 95% CI, -1.18, -0.15). M-health interventions had no significant effect on triglycerides (SMD -0.14; 95% CI, -0.56, 0.28) and HDL-cholesterol levels (SMD -0.35; 95% CI, -0.81, 0.11).
Overall, the current meta-analysis demonstrated that m-health interventions resulted in an improvement in total- and LDL-cholesterol, but did not affect triglycerides and HDL-cholesterol levels.
进行本次随机对照试验(RCT)的系统评价和荟萃分析,以总结移动健康(m-健康)干预对代谢综合征及相关疾病患者血脂谱的影响。
检索Cochrane图书馆、EMBASE、PubMed和Web of Science数据库,以识别截至2018年4月30日发表的相关随机临床试验。两名 reviewers 分别检查研究的合格性、提取数据并评估纳入临床试验的偏倚风险。使用I平方(I)统计量和Cochran Q检验测量异质性。采用随机效应模型汇总数据的标准化平均差(SMD)效应大小。
在1681篇文献中识别出18项试验适合当前的荟萃分析。随机效应模型的结果表明,m-健康干预显著降低了总胆固醇(SMD -0.54;95% CI,-1.05,-0.03)和低密度脂蛋白胆固醇水平(SMD -0.66;95% CI,-1.18,-0.15)。m-健康干预对甘油三酯(SMD -0.14;95% CI,-0.56,0.28)和高密度脂蛋白胆固醇水平(SMD -0.35;95% CI,-0.81,0.11)没有显著影响。
总体而言,当前的荟萃分析表明,m-健康干预可改善总胆固醇和低密度脂蛋白胆固醇,但不影响甘油三酯和高密度脂蛋白胆固醇水平。