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J Clin Endocrinol Metab. 2019 Sep 23. pii: dgz036. doi: 10.1210/clinem/dgz036. [Epub ahead of print]

The prevalence of osteoporosis tested by quantitative computed tomography in patients with different glucose tolerances.

Author information

1
First Clinical Medical College of Nanjing Medical University.
2
Department of Endocrinology, Beijing Friendship Hospital Pinggu Campus, Capital Medical University.
3
Department of Endocrinology, Peking University People's Hospital.
4
Department of Endocrinology, The first affiliated hospital of Nanjing Medical University.

Abstract

AIM:

The objectives of the present study were to compare bone characteristics with QCT and other metabolic factors relevant to bone health in subjects with normal glucose tolerance, impaired glucose tolerance and diabetes and to evaluate the association of various lab factors with bone characteristics qualified by QCT.

METHODS:

This cross-sectional population-based survey of diabetes and metabolic syndrome was conducted in Pinggu, China. The oral glucose tolerance test (OGTT) was conducted, and QCT was tested. The volumetric bone mineral density (vBMD) of Lumbar vertebra 2-4 was measured.

RESULTS:

Among the 4001 eligible participants, the average age was 47.41±11.86 years. The prevalence of osteoporosis evaluated by QCT was 10.6% in the NGT group, 14.8% in the IGT group, and 16.9% in the DM group. Multivariate linear regression analysis showed that age was negatively associated with vBMD, while BMI and the waist-hip ratio were positively associated with vBMD across all participants. However, the levels of HbA1c, FPG and PPG were not associated with vBMD after adjusting for sex, age, systolic and diastolic blood pressure, BMI, total cholesterol, triglyceride, LDL-c, HDL-c, FT4, FT3, TSH, UACR, CRE, and SUA.

CONCLUSION:

We found that the prevalence of osteoporosis evaluated by QCT was 10.6% in the NGT group, 14.8% in the IGT group, and 16.9% in the DM group. The levels of HbA1c, FPG and PPG were not associated with vBMD after adjusting for metabolic factors in a Chinese sample.

PMID:
31545362
DOI:
10.1210/clinem/dgz036

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