Cecilia T Pham, Aleena Ali, Leonid Churilov, Sara Baqar, Christel Hendrieckx, David N O'Neal, Mark E Howard, Elif I Ekinci
{"title":"The association between glycaemic variability and sleep quality and quantity in adults with type 1 and type 2 diabetes: A systematic review.","authors":"Cecilia T Pham, Aleena Ali, Leonid Churilov, Sara Baqar, Christel Hendrieckx, David N O'Neal, Mark E Howard, Elif I Ekinci","doi":"10.1111/dme.15485","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":11251,"journal":{"name":"Diabetic Medicine","volume":" ","pages":"e15485"},"PeriodicalIF":3.2000,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetic Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/dme.15485","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
Aims: 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.
Methods: 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.
Results: 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.
Conclusions: 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.
期刊介绍:
Diabetic Medicine, the official journal of Diabetes UK, is published monthly simultaneously, in print and online editions.
The journal publishes a range of key information on all clinical aspects of diabetes mellitus, ranging from human genetic studies through clinical physiology and trials to diabetes epidemiology. We do not publish original animal or cell culture studies unless they are part of a study of clinical diabetes involving humans. Categories of publication include research articles, reviews, editorials, commentaries, and correspondence. All material is peer-reviewed.
We aim to disseminate knowledge about diabetes research with the goal of improving the management of people with diabetes. The journal therefore seeks to provide a forum for the exchange of ideas between clinicians and researchers worldwide. Topics covered are of importance to all healthcare professionals working with people with diabetes, whether in primary care or specialist services.
Surplus generated from the sale of Diabetic Medicine is used by Diabetes UK to know diabetes better and fight diabetes more effectively on behalf of all people affected by and at risk of diabetes as well as their families and carers.”