Effect of diabetes on BMD and TBS values as determinants of bone health in the elderly: Bushehr Elderly Health program.

Aged Bone mineral density Diabetes Pre-diabetes Trabecular bone sore

Journal

Journal of diabetes and metabolic disorders
ISSN: 2251-6581
Titre abrégé: J Diabetes Metab Disord
Pays: Switzerland
ID NLM: 101590741

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 17 07 2018
accepted: 28 02 2019
pmc-release: 09 03 2020
entrez: 6 7 2019
pubmed: 6 7 2019
medline: 6 7 2019
Statut: epublish

Résumé

Considering the aging population associated with higher osteoporotic fracture risk, high prevalence of diabetes and its effect on bone health along with lack of information on bone quality using common methods (BMD) the aim of present study was to determine the association between trabecular bone score (TBS) and diabetes in an elderly population participating in Bushehr Elderly Health (BEH) program. This cross-sectional study was performed on data collected during the BEH Program, stage II. Anthropometric indices were measured based on NHANES III protocol. Diabetes and pre-diabetes were defined according to ADA Guideline 2018. Bone density was measured using DXA method (DXA, Discovery WI, Hologic Inc., USA). A software installed on the same device (TBS iNsight® software) was applied to assess TBS values. Variables related to bone health were compared based on their glycemic status (participants with diabetes, participants with prediabetes, and normoglycemic) using analysis of variance. Univariate and multivariate linear and logistic regression models were used to determine the association between TBS values and bone density in different glycemic states. The data of 2263 participant aged 60 years and over were analyzed. Mean TBS values were significantly different between participants with diabetes, participants with prediabetes, and normoglycemic groups ( Our findings suggest that subjects with pre-diabetes and diabetes have higher bone mineral density than normoglycemic subjects; the quality of bone, however, was not different between them. The discordance between BMD and TBS values in participants with diabetes suggest that although these patients have higher BMD values, their quality of bone microarchitecture may not be better than normoglycemic subjects.

Sections du résumé

BACKGROUND BACKGROUND
Considering the aging population associated with higher osteoporotic fracture risk, high prevalence of diabetes and its effect on bone health along with lack of information on bone quality using common methods (BMD) the aim of present study was to determine the association between trabecular bone score (TBS) and diabetes in an elderly population participating in Bushehr Elderly Health (BEH) program.
MATERIALS AND METHODS METHODS
This cross-sectional study was performed on data collected during the BEH Program, stage II. Anthropometric indices were measured based on NHANES III protocol. Diabetes and pre-diabetes were defined according to ADA Guideline 2018. Bone density was measured using DXA method (DXA, Discovery WI, Hologic Inc., USA). A software installed on the same device (TBS iNsight® software) was applied to assess TBS values. Variables related to bone health were compared based on their glycemic status (participants with diabetes, participants with prediabetes, and normoglycemic) using analysis of variance. Univariate and multivariate linear and logistic regression models were used to determine the association between TBS values and bone density in different glycemic states.
RESULTS RESULTS
The data of 2263 participant aged 60 years and over were analyzed. Mean TBS values were significantly different between participants with diabetes, participants with prediabetes, and normoglycemic groups (
CONCLUSION CONCLUSIONS
Our findings suggest that subjects with pre-diabetes and diabetes have higher bone mineral density than normoglycemic subjects; the quality of bone, however, was not different between them. The discordance between BMD and TBS values in participants with diabetes suggest that although these patients have higher BMD values, their quality of bone microarchitecture may not be better than normoglycemic subjects.

Identifiants

pubmed: 31275880
doi: 10.1007/s40200-019-00395-1
pii: 395
pmc: PMC6582089
doi:

Types de publication

Journal Article

Langues

eng

Pagination

99-106

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Auteurs

Mahbube Ebrahimpur (M)

1Endocrinology and Metabolism Research center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Farshad Sharifi (F)

2Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Farzaneh Amini Nezhad (FA)

1Endocrinology and Metabolism Research center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Mohammad Bagherzadeh (M)

1Endocrinology and Metabolism Research center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
3Clinical Research Development Center, Qom University of Medical Sciences, Qom, Iran.

Afshin Ostovar (A)

4Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Gita Shafiee (G)

5Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Ramin Heshmat (R)

5Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Neda Mehrdad (N)

2Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Faride Razi (F)

6Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Patricia Khashayar (P)

4Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
7Center for Microsystems Technology, Imec and Ghent University, Ghent, Belgium.

Iraj Nabipour (I)

8The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran.

Bagher Larijani (B)

1Endocrinology and Metabolism Research center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Classifications MeSH