Research about the risk assessment of hyperglycemia based on multiple imputation and generalized estimating equation

Objective To apply multiple imputation and generalized estimating equation to the risk assessment of hyperglycemia. Methods On the basic of the elderly health management archives data from The 3rd People's Hospital of Xiangcheng District from 2011 to 2015(except 2013), multiple imputation was used to solve the data missing problem and generalized estimating equation was used to solve the repeated measurements problem. Finally, comprehensive results of risk factors for hyperglycemia would be calculated. Results This study gathered 8 325 different elderly health management archives data and accumulated 23 195 observational data. In all contained indicators, there were only variables as gender and age without missing. The ranges of miss rate of the rest of variables were 0.06% to 18.44% and the actual effective rate of the sample was 76.99%. All the data sets had an arbitrary missing pattern, and 10 different complete data sets were produced after using multiple imputation. All variables' relative efficiency was above 0.97. Hyperglycemia multi-factor comprehensive inference showed that the OR values (95% CI):high blood pressure 1.272(1.201-1.361), overweight 1.251(1.162-1.341), obesity 1.649(1.481-1.852), a racing heart 1.679(1.581-1.792), hypercholesterolemia 1.178(1.060-1.311), combined-hyperlipidemia 1.170(1.021-1.332), low density lipoprotein cholesterol 1.112(1.040-1.171), high blood uric acid 1.172(1.089-1.271), high alanine transaminase 1.180(1.032-1.351), high aspartate transaminase 1.191(1.032-1.391). After the multiple imputation, the statistical significance of combined hyperlipidemia and high aspartate transaminase changed. The γ and r values showed that missing data had the greatest impact on the parameter estimation of body mass index. Conclusion The problems of data missing and repeated measurements can be solved effectively by multiple imputation and generalized estimating equation when assessing the risk factor for hyperglycemia, the departments of public health should strengthen the surveillance for related factors which may cause the hyperglycemia and enhance health education aiming at the elderly.