Analysis of the predictive value of insulin resistance for osteoporosis in middle-aged and elderly non-type 2 diabetic population

Abstract

Abstract Background With the deepening of the aging of the population, the incidence of osteoporosis in the middle-aged and elderly people is increasing. As a degenerative disease with damaged bone microstructure, decreased bone mass and decreased bone density, osteoporosis is characterized by high disability rate and high mortality. Therefore, the early prediction and diagnosis of osteoporosis is particularly important. Previous studies have demonstrated a strong relationship between insulin resistance and bone mineral density and osteoporosis in type 2 diabetes mellitus; however, there is a lack of attention on the correlation between insulin resistance and bone metabolism in healthy populations. The aim of this study was to analyze the correlation between three insulin resistance measures and bone mineral density, and to compare their value in predicting middle-aged and elderly non-type 2 diabetes. Methods In this study, the general data, bone mineral density, blood routine, lipid metabolism and other clinical data of 700 Chinese middle-aged and elderly non-type 2 diabetes patients were collected, and the patients were divided into osteoporosis group (n = 149) and non-osteoporosis group (n = 551). spearman correlation analysis was used to explore the correlation between three insulin resistance metabolic indexes and bone mineral density. The relationship between insulin resistance and osteoporosis was analyzed by binary logstics regression. ROC curve was used to compare the predictive value of METS-IR, TyG-BMI index and TG/HDL-C Ratio in osteoporosis. Results Spearman correlation showed that METS-IR, TyG-BMI index and TG/HDL-C Ratio were positively correlated with L1-L4 BMD, femoral neck BMD and hip BMD. Binary logstics regression analysis showed that METS-IR was related to the occurrence of osteoporosis. After adjusting for age, sex, smoking, drinking, serum total protein, serum albumin, serum creatinine, uric acid and total cholesterol, the correlation between METS-IR and osteoporosis still existed. ROC curve analysis showed that these three indexes of insulin resistance metabolism had certain predictive value in osteoporosis, among which METS-IR had the highest diagnostic value in osteoporosis. Conclusions METS-IR, TyG-BMI index and TG/HDL-C Ratio were correlated with BMD at all sites.The predictive value of METS-IR was better than TG/HDL-C Ratio and TyG-BMI index in osteoporosis.