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Relationship Between Sleep Disturbance And Type 2 Diabetes: Meta Analysis And Mendelian Randomization Study

Posted on:2019-07-23Degree:MasterType:Thesis
Country:ChinaCandidate:W H WangFull Text:PDF
GTID:2394330545959663Subject:Epidemiology and Health Statistics
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BackgroundType 2 diabetes?T2D?is a disease characterized by hyperglycemia,which seriously threatens the health of people and affects the quality of life.In addition to genetic factors,lack of exercise,obesity and hyperlipidemia are all risk factors for T2D.Recent studies have also found that sleep disturbance are very common in T2D patients and negatively correlated with quality of life.ObjectiveTo explore the relationship between sleep disturbance and the risk of T2D,and to examine the causal relationship between chronotype and sleep duration on T2D by Mendelian randomization?MR?study,evidence is provided to prevent T2D and provide guidance for healthy lifestyles.MethodsDatabases included Pubmed,Web of Science,CNKI,Wangfang were searched for relevant research.The relationship between sleep diaorder and risk of type 2diabetes in March,2018.literature screening and the quality of literature was evaluated,the relationship between difficulties in falling asleep at night and difficulties in maintaining asleep at night and incidence risk of T2D was analyzed by Stata software's metan command.The heterogeneity test was performed by Q test and I2 value;Egger and Begg test were used if there is a publication bias;The sensitivity of the result is analyzed by sensitivity analysis.SNP related to chronotype and sleep duration were selected from UK biobank that had been published publicily,and SNP that were verified to meet P<5×10-8 in other populations were selected for MR analysis.The exposed instrumental variable?IV?uses the R language to select the software package to calculate the relationship between IV and outcomes,and uses the Mendelian randomization method of inverse variance weighted?MR-IVW Method?.Based on the Mendelian randomization method of median based?MR-Median-Based Method?and the Mendelian randomization of Egger regression?MR-Egger Method?,three types of MR were calculated between the causal association of chronotype and sleep time with T2D.ResultIn this study,a total of 8 articles that meet the criteria were included in the study.The quality of the literature was assessed in the medium and high-level literature.Meta-analysis showed that the risk of T2D increased 44%and 51%,respectively,in the group of difficulties in falling asleep and difficulties in maintaining asleep compared with the normal group.The RR and 95%CI were 1.44?1.18 to 1.75?and1.51?1.22 to 1.88?;The Egger and Begg test results in the study of difficulty in falling asleep show that there is no publication bias,and the difficulty in maintaining sleep at night shows that there is publication bias.There were 16 and 3 SNP loci related to chronotype and sleep duration in the UK biobank,and 13 and 3 SNP loci were still remain P<5×10-8 as IV after population verification.There was no correlation between IV and outcomes?P>0.05?.The Mendelian randomized analysis of the three methods all showed that there was no causal relationship between"morningness"chronotype and sleep time on T2D occurrence,and the heterogeneity test had no significance,indicating that the results were stable and reliable.ConclusionThe relationship between"morningness"chronotype and sleep duration and T2D is not causal.It may not be possible to reduce the risk of developing T2D by changing sleep patterns and sleep duration.However,the findings of this study warrant further investigation to determine the possible causes of sleep disorders that also increase the risk of T2D..
Keywords/Search Tags:sleep disturbance, type 2 diabetes, meta analysis, Mendel randomization analysis
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