Kelli M Richardson, Michelle R Jospe, Lauren C Bohlen, Jacob Crawshaw, Ahlam A Saleh, Susan M Schembre
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This systematic review and meta-analysis examines whether using CGM-based feedback to support behaviour change affects glycaemic, anthropometric, and behavioural outcomes in adults with and without diabetes.</p><p><strong>Methods: </strong>Ovid MEDLINE, Cochrane Central Register of Controlled Trials, Elsevier Embase, EBSCOhost PsycINFO, and ProQuest Dissertations & Theses Global were searched through January 2024. Eligible studies were randomised controlled trials in adults that implemented CGM-based feedback in at least one study arm compared to a control without CGM feedback. Dual screening, data extraction, and bias assessment were conducted independently. Mean differences in outcomes between intervention and comparison groups were analysed using generic inverse variance models and random effects. Robustness of pooled estimates from random-effects models was considered with sensitivity and subgroup analyses.</p><p><strong>Results: </strong>Twenty-five clinical trials with 2996 participants were included. Most studies were conducted in adults with type 2 diabetes (n = 17/25; 68%), followed by type 1 diabetes (n = 3/25, 12%), gestational diabetes (n = 3/25, 12%), and obesity (n = 3/25, 12%). Eleven (44%) studies reported CGM-affiliated conflicts of interest. Interventions incorporating CGM-based feedback reduced HbA1c by 0.28% (95% CI 0.15, 0.42, p < 0.001; I<sup>2</sup> = 88%), and increased time in range by 7.4% (95% CI 2.0, 12.8, p < 0.008; I<sup>2</sup> = 80.5%) compared to arms without CGM, with non-significant effects on time above range, BMI, and weight. Sensitivity analyses showed consistent mean differences in HbA1c across different conditions, and differences between subgroups were non-significant. Only 4/25 studies evaluated the effect of CGM on dietary changes; 5/25 evaluated physical activity.</p><p><strong>Conclusions: </strong>This evidence synthesis found favourable, though modest, effects of CGM-based feedback on glycaemic control in adults with and without diabetes. 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引用次数: 0
摘要
背景:连续血糖监测(CGM)有潜力作为一种精确的公共卫生干预手段,为饮食和身体活动如何影响血糖水平提供个性化的见解。然而,在糖尿病和非糖尿病人群中使用CGM支持行为改变和行为驱动结果的功效尚不清楚。本系统综述和荟萃分析探讨了使用基于cgm的反馈来支持行为改变是否会影响患有和非糖尿病成人的血糖、人体测量学和行为结果。方法:检索截止到2024年1月的Ovid MEDLINE、Cochrane Central Register of Controlled Trials、Elsevier Embase、EBSCOhost PsycINFO和ProQuest dissert&theses Global。符合条件的研究是在成年人中进行的随机对照试验,与没有CGM反馈的对照组相比,在至少一个研究组中实施了基于CGM的反馈。双重筛选、数据提取和偏倚评估均独立进行。使用通用反方差模型和随机效应分析干预组和对照组之间结果的平均差异。通过敏感性和亚组分析来考虑随机效应模型汇总估计的稳健性。结果:纳入25项临床试验,共2996名受试者。大多数研究是在成人2型糖尿病患者中进行的(n = 17/25;68%),其次是1型糖尿病(n = 3/25, 12%)、妊娠糖尿病(n = 3/25, 12%)和肥胖症(n = 3/25, 12%)。11项(44%)研究报告了cgm相关的利益冲突。与没有CGM的干预组相比,纳入基于CGM的反馈的干预组HbA1c降低了0.28% (95% CI 0.15, 0.42, p 2 = 88%),范围内停留时间增加了7.4% (95% CI 2.0, 12.8, p 2 = 80.5%),对范围内停留时间、BMI和体重均无显著影响。敏感性分析显示,不同条件下HbA1c的平均差异一致,亚组之间的差异不显著。只有4/25的研究评估了CGM对饮食改变的影响;5/25评估身体活动。结论:该证据综合发现,基于cgm的反馈对糖尿病患者和非糖尿病患者的血糖控制效果虽不明显,但有利。需要进一步的研究来确定在不同人群中驱动观察到的效应的行为和行为机制。试验注册:CRD42024514135。
The efficacy of using continuous glucose monitoring as a behaviour change tool in populations with and without diabetes: a systematic review and meta-analysis of randomised controlled trials.
Background: Continuous glucose monitoring (CGM) holds potential as a precision public health intervention, offering personalised insights into how diet and physical activity affect glucose levels. Nevertheless, the efficacy of using CGM in populations with and without diabetes to support behaviour change and behaviour-driven outcomes remains unclear. This systematic review and meta-analysis examines whether using CGM-based feedback to support behaviour change affects glycaemic, anthropometric, and behavioural outcomes in adults with and without diabetes.
Methods: Ovid MEDLINE, Cochrane Central Register of Controlled Trials, Elsevier Embase, EBSCOhost PsycINFO, and ProQuest Dissertations & Theses Global were searched through January 2024. Eligible studies were randomised controlled trials in adults that implemented CGM-based feedback in at least one study arm compared to a control without CGM feedback. Dual screening, data extraction, and bias assessment were conducted independently. Mean differences in outcomes between intervention and comparison groups were analysed using generic inverse variance models and random effects. Robustness of pooled estimates from random-effects models was considered with sensitivity and subgroup analyses.
Results: Twenty-five clinical trials with 2996 participants were included. Most studies were conducted in adults with type 2 diabetes (n = 17/25; 68%), followed by type 1 diabetes (n = 3/25, 12%), gestational diabetes (n = 3/25, 12%), and obesity (n = 3/25, 12%). Eleven (44%) studies reported CGM-affiliated conflicts of interest. Interventions incorporating CGM-based feedback reduced HbA1c by 0.28% (95% CI 0.15, 0.42, p < 0.001; I2 = 88%), and increased time in range by 7.4% (95% CI 2.0, 12.8, p < 0.008; I2 = 80.5%) compared to arms without CGM, with non-significant effects on time above range, BMI, and weight. Sensitivity analyses showed consistent mean differences in HbA1c across different conditions, and differences between subgroups were non-significant. Only 4/25 studies evaluated the effect of CGM on dietary changes; 5/25 evaluated physical activity.
Conclusions: This evidence synthesis found favourable, though modest, effects of CGM-based feedback on glycaemic control in adults with and without diabetes. Further research is needed to establish the behaviours and behavioural mechanisms driving the observed effects across diverse populations.
期刊介绍:
International Journal of Behavioral Nutrition and Physical Activity (IJBNPA) is an open access, peer-reviewed journal offering high quality articles, rapid publication and wide diffusion in the public domain.
IJBNPA is devoted to furthering the understanding of the behavioral aspects of diet and physical activity and is unique in its inclusion of multiple levels of analysis, including populations, groups and individuals and its inclusion of epidemiology, and behavioral, theoretical and measurement research areas.