Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2020 Jun;12(6):455-464.
doi: 10.1111/1753-0407.13017. Epub 2020 Jan 22.

Obstructive sleep apnea and risk of type 2 diabetes mellitus: A systematic review and dose-response meta-analysis of cohort studies

Ranran Qie  1 , Dongdong Zhang  2 , Leilei Liu  1 , Yongcheng Ren  1 , Yang Zhao  1 , Dechen Liu  1 , Feiyan Liu  2 , Xu Chen  1 , Cheng Cheng  1 , Chunmei Guo  1 , Quanman Li  1 , Qionggui Zhou  2 , Gang Tian  1 , Minghui Han  1 , Shengbing Huang  1 , Xiaoyan Wu  2 , Pei Qin  2 , Jianxin Li  3   4 , Jie Cao  3   4 , Ming Zhang  2 , Jianfeng Huang  3   4 , Jie Lu  1 , Honghui Li  3 , Jian Wang  3 , Ruirong Cheng  3 , Dongsheng Hu  1
Affiliations
Meta-Analysis

Obstructive sleep apnea and risk of type 2 diabetes mellitus: A systematic review and dose-response meta-analysis of cohort studies

Ranran Qie et al. J Diabetes. 2020 Jun.

Abstract
in English, Chinese

Background: This meta-analysis was performed to quantitatively evaluate the dose-response association between obstructive sleep apnea (OSA) and risk of type 2 diabetes mellitus (T2DM).

Methods: PubMed, Embase, and Web of Science were searched up to 12 December 2018 for articles that assessed the OSA-T2DM association. Random effects models were used to analyze the quantitative association between OSA and risk of T2DM. Restricted cubic splines were used to model the dose-response association between apnea-hypopnea index (AHI), used to assess the severity of OSA according to events/h, and risk of T2DM.

Results: We included 16 cohort studies in our meta-analysis. During a median follow-up of 10.5 years (range: 3.0-22.0), 19 355 T2DM cases were reported among 338 912 study participants. The pooled relative risk of T2DM was 1.40 (95% CI, 1.32-1.48) for OSA in the binary meta-analysis and 1.08 (1.01-1.14) for each 5-event/h increase in AHI value. We found a positive linear association between OSA and T2DM risk.

Conclusions: Our dose-response meta-analysis revealed a linear association between OSA and T2DM.

背景: 该研究对阻塞性睡眠呼吸暂停综合征(obstructive sleep apnea, OSA)和2型糖尿病发病风险的关系进行定量评价, 并探索其潜在的剂量-反应关系。 方法: 检索PubMed、Embase和 Web of Science数据库中2018年12月12日前发表的关于OSA和2型糖尿病的相关性研究。采用随机效应模型定量分析OSA和2型糖尿病发病风险的关系。通过限制性立方样条模型评估呼吸暂停低通气指数(基于次数/小时评价OSA严重程度的指标)和2型糖尿病发病风险的剂量-反应关系。 结果: 本研究共纳入16个队列研究, 包括研究对象 338,912人, 随访时间为中位数10.5年(范围为3.0-22.0年), 随访期间19,355名研究对象确诊2型糖尿病。二元meta分析显示OSA使2型糖尿病的发病相对风险度为1.40 ( 95%CI:1.32-1.48), 呼吸暂停低通气指数每增加5次/小时, 2型糖尿病的发病相对风险度为1.08(95%CI:1.01-1.14)。OSA与2型糖尿病的发病风险成线性正相关。 结论: OSA的严重程度和2型糖尿病的发病风险有关, 且存在线性剂量-反应关系。.

Keywords: 2型糖尿病; cohort studies; dose-response; meta-analysis; obstructive sleep apnea; type 2 diabetes mellitus; 剂量-反应; 荟萃分析; 队列研究; 阻塞性呼吸睡眠暂停综合征.

PubMed Disclaimer

References

REFERENCES

    1. Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004;27(5):1047-1053. https://doi.org/10.2337/diacare.1027.1045.1047.
    1. Disease GBD II, Prevalence C. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the global burden of Disease study 2017. Lancet. 2018;392(10159):1789-1858. https://doi.org/10.1016/S0140-6736(1718)32279-32277.
    1. Schwingshackl L, Hoffmann G, Lampousi AM, et al. Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies. Eur J Epidemiol. 2017;32(5):363-375. https://doi.org/10.1007/s10654-10017-10246-y.
    1. Collaborators GBDCoD. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1736-1788. https://doi.org/10.1016/S0140-6736(1718)32203-32207.
    1. Ren Y, Luo X, Wang C, et al. Prevalence of hypertriglyceridemic waist and association with risk of type 2 diabetes mellitus: a meta-analysis. Diabetes Metab Res Rev. 2016;32(4):405-412. https://doi.org/10.1002/dmrr.2725.

MeSH terms

LinkOut - more resources