Pham Cecilia T, Ali Aleena, Churilov Leonid, Baqar Sara, Hendrieckx Christel, O'Neal David N, Howard Mark E, Ekinci Elif I
Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, Victoria, Australia.
Department of Endocrinology, Austin Health, Melbourne, Victoria, Australia.
Diabet Med. 2025 Apr;42(4):e15485. doi: 10.1111/dme.15485. Epub 2024 Dec 11.
Individuals with diabetes frequently encounter sleep disturbances, which can detrimentally impact glycaemic management. We reviewed the relationship between sleep outcomes and glycaemic variability in adults with diabetes.
We systematically searched Medline, EMBASE and Cochrane Library (2002-March 2023) for studies evaluating sleep and glycaemic variability in adults with type 1 and type 2 diabetes. Among the 3049 records, 27 met the inclusion criteria (type 1 diabetes studies = 22). Due to methodological heterogeneity, a qualitative analysis was conducted.
Most studies measuring sleep quality (5 out 7; 71%) reported a significant association with glycaemic variability in type 1 and type 2 diabetes. Sleep duration was not significantly associated with glycaemic variability in type 1 diabetes, whereas other sleep metrics yielded inconclusive results. Hybrid closed-loop pump interventions (n = 12) demonstrated varying sleep outcomes with improved glycaemic variability. Similarly, sleep interventions (n = 3) consistently enhanced sleep but not glycaemic variability. Limitations included moderate to high risk of study bias, confounders, methodological heterogeneity and limited type 2 diabetes data.
A potential association between sleep quality and glycaemic variability exists. However, associations with other sleep metrics remain elusive, with no discernible association between sleep duration and glycaemic variability in type 1 diabetes. Despite advancements in continuous glucose monitoring and ambulatory sleep monitoring, standardised sleep assessment methodologies are lacking in real-world studies. Establishing standard protocols for sleep assessment and defining optimal sleep targets are crucial for meaningful comparisons between studies. Understanding the complex interplay between sleep and glycaemic variability holds promise in improving diabetes management and sleep health.
糖尿病患者经常出现睡眠障碍,这可能对血糖管理产生不利影响。我们回顾了糖尿病成年人睡眠结果与血糖变异性之间的关系。
我们系统检索了Medline、EMBASE和Cochrane图书馆(2002年至2023年3月),以查找评估1型和2型糖尿病成年人睡眠与血糖变异性的研究。在3049条记录中,27条符合纳入标准(1型糖尿病研究=22条)。由于方法学的异质性,进行了定性分析。
大多数测量睡眠质量的研究(7项中的5项;71%)报告称,1型和2型糖尿病患者的睡眠质量与血糖变异性之间存在显著关联。1型糖尿病患者的睡眠时间与血糖变异性无显著关联,而其他睡眠指标的结果尚无定论。混合闭环泵干预(n = 12)显示出不同的睡眠结果,血糖变异性有所改善。同样,睡眠干预(n = 3)持续改善了睡眠,但未改善血糖变异性。局限性包括研究偏倚、混杂因素、方法学异质性的中到高风险以及2型糖尿病数据有限。
睡眠质量与血糖变异性之间可能存在关联。然而,与其他睡眠指标的关联仍不明确,1型糖尿病患者的睡眠时间与血糖变异性之间没有明显关联。尽管连续血糖监测和动态睡眠监测取得了进展,但实际研究中缺乏标准化的睡眠评估方法。建立睡眠评估的标准方案并确定最佳睡眠目标对于研究之间有意义的比较至关重要。了解睡眠与血糖变异性之间的复杂相互作用有望改善糖尿病管理和睡眠健康。