Article

Associations between components of the metabolic syndrome versus bone mineral density and vertebral fractures in patients with type 2 diabetes.

Department of Internal Medicine 1, Shimane University Faculty of Medicine, 89-1 Enya-cho, Izumo-shi, Shimane 693-8501, Japan.
Bone (impact factor: 4.02). 06/2009; 45(2):174-9. DOI:10.1016/j.bone.2009.05.003 pp.174-9
Source: PubMed

ABSTRACT The association of bone with the metabolic syndrome and its features, visceral fat accumulation or insulin resistance, remains unclear. We determined visceral and subcutaneous fat areas (V and S) by computed tomography on 187 men (28-83 years) and 125 postmenopausal women (46-82 years) with type 2 diabetes. Men whose V was 100 cm(2) or more had significantly lower urinary N-terminal cross-linked telopeptide of type-I collagen (p=0.005), higher femoral neck bone mineral density (FN-BMD) (p=0.004), and lower prevalence of vertebral fractures (VFs) (p=0.04) than controls. Fat mass, V, S, and lean body mass positively correlated with FN-BMD in men and with lumbar (L) and FN-BMD in women. When adjusted for weight, these correlations became negative. Urinary C-peptide positively correlated with FN-BMD in both genders. Multivariate logistic regression analysis adjusted for age, height, weight, L-BMD, duration of diabetes, and diabetes therapies identified V in men and urinary C-peptide in women as factors inversely associated with the presence of VFs [odds ratio (OR)=0.61 per SD increase, p=0.04, and OR=0.32, p=0.01, respectively]. These findings suggest that, of the components of the metabolic syndrome, body fat in gravity and hyperinsulinemia could increase FN-BMD in diabetic subjects. Visceral fat in men and hyperinsulinemia in women may protect against VFs independent of weight, L-BMD, diabetes duration, or therapies.

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Keywords

125 postmenopausal women
 
body fat
 
correlations
 
diabetes
 
diabetes duration
 
diabetes therapies
 
Fat mass
 
higher femoral neck bone mineral density
 
insulin resistance
 
lean body mass
 
lower prevalence
 
Multivariate logistic regression analysis
 
SD increase
 
subcutaneous fat areas
 
type 2 diabetes
 
type-I collagen
 
urinary C-peptide
 
VFs [odds ratio
 
Visceral fat
 
visceral fat accumulation