Relationship between abnormal glucose metabolism and osteoporosis in han Chinese men over the age of 50 years

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Abstract

Aim: The aim of this study was to determine the relationship between abnormal glucose metabolism and osteoporosis (OP) in Han Chinese men over the age of 50 years. Patients and methods: A cross-sectional study of 775 male patients aged over 50 years was performed at our hospital in 2011. The patients were divided into a normal glucose metabolism group, an impaired glucose regulation (IGR) group, and a type 2 diabetes mellitus (T2DM) group. Differences in their bone mineral densities (BMDs), OP detection rates, and indices of bone metabolism were assessed. Results: After adjusting for age and body mass index (BMI), there were no significant differences in lumbar spine, femoral neck, and total hip BMD values in the three groups (P.0.05) nor in OP detection rates (P=0.19). However, there were some significant differences in bone metabolism markers between the groups after adjusting for age, BMI, and serum creatinine (Cr): 25-hydroxyvitamin D (25(OH)D) was positively correlated with the presence of abnormal glycometabolism (r=0.08; P,0.01), while β-carboxy-terminal cross-linking telopeptide of type I collagen (β-CTX), bone gamma-carboxyglutamic acid protein (BGP; osteocalcin [OC]), and procollagen type 1 intact N-terminal propeptide (P1NP) were negatively correlated (r=-0.13,-0.21,-0.14, respectively; P,0.01). Logistic regression analysis of the data indicated that BGP was the only bone metabolism marker significantly influenced by abnormal glucose metabolism (OR =0.96). Conclusion: There were no significant differences in BMD or OP detection rates between the three glycometabolism groups after adjusting for age and BMI. However, the bone metabolism marker, BGP, was significantly negatively correlated with abnormal glucose metabolism.

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Liu, M., Lu, Y., Cheng, X., Ma, L., Miao, X., Li, N., … Li, C. (2019). Relationship between abnormal glucose metabolism and osteoporosis in han Chinese men over the age of 50 years. Clinical Interventions in Aging, 14, 445–451. https://doi.org/10.2147/CIA.S164021

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