Nursing College, Keimyung University, 1095 Dalgubeol-daero, Dalseo-gu, Daegu 42601, Korea.
Int J Environ Res Public Health. 2021 Jan 10;18(2):512. doi: 10.3390/ijerph18020512.
Technology-mediated interventions help overcome barriers to program delivery and spread metabolic syndrome prevention programs on a large scale. A meta-analysis was performed to evaluate the impact of these technology-mediated interventions on metabolic syndrome prevention.
In this meta-analysis, from 30 January 2018, three databases were searched to evaluate interventions using techniques to propagate diet and exercise lifestyle programs for adult patients with metabolic syndrome or metabolic risk.
Search results found 535 citations. Of these, 18 studies met the inclusion criteria analyzed in this article. The median duration of intervention was 4 months and the follow-up period ranged from 1.5 to 30 months. The standardized mean difference (SMD) between the two groups was waist circumference -0.35 (95% CI -0.54, -0.15), triglyceride -0.14 (95% CI -0.26, -0.03), fasting blood glucose -0.31 (95% CI -0.42, -0.19), body weight -1.34 (95% CI -2.04, -0.64), and body mass index -1.36 (95% CI -2.21, -0.51). There was no publication bias in this study.
Technology-mediated intervention improved clinically important metabolic syndrome related indicators such as excess body fat around the waist, fasting glucose, and body mass index. These interventions will play an important role in the dissemination of metabolic syndrome prevention programs.
技术介导的干预措施有助于克服计划实施的障碍，并大规模推广代谢综合征预防计划。进行了一项荟萃分析，以评估这些技术介导的干预措施对代谢综合征预防的影响。
在这项荟萃分析中，从 2018 年 1 月 30 日开始，搜索了三个数据库，以评估使用技术传播饮食和运动生活方式计划的干预措施，这些计划针对患有代谢综合征或代谢风险的成年患者。
搜索结果发现了 535 条引文。其中，有 18 项研究符合本文分析的纳入标准。干预的中位持续时间为 4 个月，随访期从 1.5 到 30 个月不等。两组之间的标准化均数差值（SMD）分别为腰围-0.35（95%置信区间-0.54，-0.15）、甘油三酯-0.14（95%置信区间-0.26，-0.03）、空腹血糖-0.31（95%置信区间-0.42，-0.19）、体重-1.34（95%置信区间-2.04，-0.64）和体重指数-1.36（95%置信区间-2.21，-0.51）。本研究无发表偏倚。
技术介导的干预措施改善了与代谢综合征相关的重要临床指标，如腹部多余脂肪、空腹血糖和体重指数。这些干预措施将在代谢综合征预防计划的传播中发挥重要作用。
