Research On Relationship Between Resting Heart Rate And Normal Glucose Tolerance Population Progressed To Diabetes

Objective: To research the effect of resting heart rate on normal glucose tolerance population progressed to diabetes.Methods: This retrospective study collected the data of 10207 Dalian community residents aged 40 or over,according to the REACTION project initiated by the Chinese Medical Association from August 2011 to December 2011.They were tested in fasting plasma glucose(FPG),2 hours postprandial blood glucose(2h FPG),glycosylated hemoglobin(Hb A1c),high density lipoprotein(HDL-C),low density lipoprotein(LDL-C)and triglyceride level(TG).Weight,height,waistline,hipline,systolic and diastolic blood pressureand pulse rate were measured;average blood pressure,average pulse rateand BMI were calculated.The age,sex,disease history,family history,smoking history and drinking history were collected.According to the inclusion and exclusion criteria,a total of 2065 people were included in this study.According to the average resting heart rate,the three percentile was grouped into H1,H2 and H3 groups.The three groups were 684,691 and 690 persons,respectively.The follow-up period began in July 2014.The follow-up time was 6 months.The follow-up information of the three groups was collected.A total of 1884 people were followed up,and the follow-up rates of these three groups were 91.08%,93.05% and 89.57%,respectively.There were 1670 patients with complete follow-up data and 83 cases of diabetes.The difference in incidence of diabetes amongthe three groups after 3 years of follow-up was analyzed.At the same time,we analyzed whether resting heart rate was a related risk factor for diabetes,and explored the appropriate cut point of resting heart rate to predict the occurrence of diabetes.Results:1.Comparison of baseline date in different resting heart rate: The differences among the FPG,SBP and TG of the patients from Group H1、H2 and H3 were significant(P<0.05).The differences among LDL-C and sex of the patients from Group H1 and H3 were significant as well as the group H1 and H2(P<0.05).The differences among the DBP of the patients from Group H2 and H3 were significant as well as the group H1 and H2(P<0.05).The differences among the BMI and age of the patients from H1 and H3 were significant(P<0.05).The differences among HDL-C and waistline of the three Groups were not significant(P>0.05).2.Comparison of the prevalence rate of diabetes in different resting heart rate groups: Totally 1670 patients were studied on the baseline study,and the 83 people weresuffering the diabetes.The morbidity rate of the study was4.97%.The prevalence of diabetes was2.57%、4.71% and 7.72%,respectively.After another comparison among each group,our study discovered that the case rate of the diabetes between Group H1 and Group H3(χ2=14.668,P=0.0001),Group H2 and Group H3(χ2=4.435,P=0.035)were significant.There were not significant difference between Group H1 and Group H2(χ2=3.638,P=0.056.As the resting heart rate increased,the morbidity rate of diabetes showed an increasing trend.Using the trend Chi-square tests,the result was significant(χ2=5.074,P=0.024).3.(1).The multivariate logistic regression analysis of different resting heart rate regulation on the incidence of diabetes: With the use of patients progressing to diabetes as the dependent variable,different resting heart rate,BMI,TG,HDL,LDL,SBP and waistline as independent variables.The analysis showed the regression equation was: Diabetes=0.022 resting heart rate+0.017SBP+0.047 BMI+0.162 TG.The logistic regression analysis showed that the resting heart rate,BMI,TG and SBP were significantly risk factors.(2).Taking the progression of diabetes as dependent variable,resting heart rate was used as independent variable to carry out two yuan Logistic regression analysis.After correcting BMI,SBP,and TG,The results showed that the risk of progression to diabetes increased with the increase of resting heart rate,and the risk of progression to diabetes in the H3 group was 2.893 times that of the H1 group.4.ROC Curve for resting heart rate Predicting diabetic: According to the resting heart rate,the ROC curve of diabetes mellitus(AUC 0.599)was predicted.According to the sensitivity and specificity of each point,the maximum point was calculated to be the appropriate cut point.The results showed that the appropriate cut point of diabetes was 79 times / minute(sensitivity 57.8%,specificity 60.24%).Conclusions:1.With the increase of resting heart rate,the incidence of diabetes mellitus is increasing in normal glucose tolerance population.2.Resting heart rate is an independent risk factor for diabetes.3.Resting heart rate predicts that the right cut-off point for normal people to progress to diabetes is 79 times / minute.