Association between hemoglobin glycation index and 5-year major adverse cardiovascular events:the REACTION cohort study

Background:The hemoglobin glycation index(HGI)was developed to quantify glucose metabolism and individual differences and proved to be a robust measure of individual glycosylated hemoglobin(HbA1c)bias.Here,we aimed to explore the relationship between different HGIs and the risk of 5-year major adverse cardiovascular events(MACEs)by performing a large multicenter cohort study in China.Methods:A total of 9791 subjects from the Risk Evaluation of Cancers in Chinese Diabetic Individuals:a Longitudinal Study(the REACTION study)were divided into five subgroups(Q1-Q5)with the HGI quantiles(≤5th,>5th and≤33.3th,>33.3th and≤66.7th,>66.7th and≤95th,and>95th percentile).A multivariate logistic regression model constructed by the restricted cubic spline method was used to evaluate the relationship between the HGI and the 5-year MACE risk.Subgroup analysis between the HGI and covariates were explored to detect differences among the five subgroups.Results:The total 5-year MACE rate in the nationwide cohort was 6.87%(673/9791).Restricted cubic spline analysis suggested a U-shaped correlation between the HGI values and MACE risk after adjustment for cardiovascular risk factors(x^(2)=29.5,P<0.001).After adjustment for potential confounders,subjects with HGIs≤-0.75 or>0.82 showed odds ratios(ORs)for MACE of 1.471(95%confidence interval[CI],1.027-2.069)and 2.222(95%CI,1.641-3.026)compared to subjects with HGIs of>-0.75 and≤-0.20.In the subgroup with non-coronary heart disease,the risk of MACE was significantly higher in subjects with HGIs≤-0.75(OR,1.540[1.039-2.234];P=0.027)and>0.82(OR,2.022[1.392-2.890];P<0.001)compared to those with HGIs of≤-0.75 or>0.82 after adjustment for potential confounders.Conclusions:We found a U-shaped correlation between the HGI values and the risk of 5-year MACE.Both low and high HGIs were associated with an increased risk of MACE.Therefore,the HGI may predict the 5-year MACE risk.

Association between sleep duration and incidence of type 2 diabetes in China: the REACTION study

Backgrounds: Inadequate sleep duration is associated with a higher risk of type 2 diabetes and the relationship is nonlinear. We aim to assess the curve relationship between night sleep duration and the incidence of type 2 diabetes in China.Methods: A cohort of 11,539 participants from the REACTION study without diabetes at baseline (2011) were followed until 2014 for the development of type 2 diabetes. The average number of hours of sleep per night was grouped. Incidence rates and odds ratios (ORs) were calculated for the development of diabetes in each sleep duration category.Results: Compared to people who sleep for 7 to 8 h/night, people with longer sleep duration (≥9 h/night) had a greater risk of type 2 diabetes (OR: 1.27;95% CI: 1.01-1.61), while shorter sleep (<6 h/night) had no significant difference in risk of type 2 diabetes. When the dataset was stratified based on selected covariates, the association between type 2 diabetes and long sleep duration became more evident among individuals <65 years of age, male, body mass index <24 kg/m2 or with hypertension or hyperlipidemia, no interaction effects were observed. Furthermore, compared to people persistently sleeping 7 to 9 h/night, those who persistently slept ≥9 h/night had a higher risk of type 2 diabetes. The optimal sleep duration was 6.3 to 7.5 h/night.Conclusions: Short or long sleep duration was associated with a higher risk of type 2 diabetes. Persistently long sleep duration increased the risk.