Cross-sectional and longitudinal assessment of pre- and postmenopausal bone loss with a portable forearm X-ray device: the Ofely study

Association between basal metabolic function and bone metabolism in postmenopausal women with type 2 diabetes

OBJECTIVE

Diabetes is a risk factor for osteoporosis, and glycemic control is critical during osteoporosis treatment in patients with type 2 diabetes (T2D). However, diabetic therapies have potentially adverse effects on bone metabolism. Additionally, biomarkers for bone metabolism are directly affected by drug therapies for osteoporosis. This study examined resting energy expenditure (REE) and respiratory quotient (RQ) as indices of bone metabolism in postmenopausal Japanese women with T2D.

METHODS

Forty-six postmenopausal Japanese women with T2D were examined. Procollagen type 1 N-terminal propeptide (P1NP, a fasting serum bone formation marker) and carboxy-terminal collagen cross-links-1 (CTX-1, a resorption marker) were evaluated, along with intact parathyroid hormone, 25-hydroxyvitamin D (25[OH]D), urine microalbumin, motor nerve conduction velocity, sensory nerve conduction velocity, R-R interval, body composition, REE, RQ, and bone mineral density at the nondominant distal radius.

RESULTS

The mean T-score was low with high variance (-1.7 ± 1.6), and 18 patients (39%) met the criteria for osteoporosis. REE was positively correlated with body mass index (β = 0.517; r(2) = 0.250), serum calcium (β = 0.624; r(2) = 0.200), glycated hemoglobin A1C for the previous 6 mo (β = 0.395; r(2) = 0.137), and the serum P1NP/CTX-1 ratio (β = 0.380; r(2) = 0.144). RQ was positively correlated with serum 25(OH)D (β = 0.387; r(2) = 0.131).

CONCLUSION

The basal metabolic rate and diabetic pathophysiology are interrelated with bone turnover.

Rate of forearm bone loss is associated with an increased risk of fracture independently of bone mass in postmenopausal women: the OFELY study

BMD is a major determinant of the risk of fragility fractures, but the role of the rate of postmenopausal bone loss is still unclear. In 671 postmenopausal women from the OFELY cohort, we found that the rate of bone loss was significantly associated with fracture risk independently of other well-known predictors including BMD and previous fractures.

INTRODUCTION

The level of BMD is a major determinant of the risk of fragility fractures, but the role of the rate of postmenopausal bone loss is still unclear.

MATERIALS AND METHODS

In the OFELY study, we analyzed the risk of fracture in 671 postmenopausal women (mean age, 62.2 +/- 9 years), according to the rate of bone loss. BMD was measured annually by DXA at the forearm, with a mean number of measurements of 10.3 +/- 2.6. Peripheral fractures, all confirmed by radiographs, were prospectively registered, and vertebral fractures were evaluated with spine radiographs every 4 years.

RESULTS

During a median (interquartile range [IQ]) of 11.2 years (11-12.3 years) of follow-up, 183 incident fragility fractures including 53 vertebral and 130 nonvertebral fractures were recorded in 134 women. The annual median +/- IQ rate of bone loss, calculated from the slope, was -0.30 +/- 0.76% at the mid-radius, -0.55 +/- 0.79% at the distal radius, and -0.40 +/- 0.96% at the ultradistal radius. Women with incident fracture had a rate of bone loss (before fracture) higher by 38-53% than those without fracture (p = 0.0003-0.016). Using multivariate Cox regression models, we found that bone loss in the highest tertile at the mid-radius, distal radius, and ultradistal radius was associated with a significant increased risk of all fractures with an hazard ratio from 1.45 to 1.70 (p = 0.02 to p = 0.009 after adjusting for age, previous fractures, maternal history of fracture, physical activity, grip strength, falls, and baseline BMD).

CONCLUSIONS

The rate of bone loss in postmenopausal women is significantly associated with fracture risk independently of other well-known predictors such as BMD and history of fractures.

Forearm bone mineral density in an unselected population of 2,779 men and women--the HUNT Study, Norway

The fracture incidence in Norway is among the highest in Europe, presumably due to osteoporosis. As part of a multipurpose health study in the county of Nord-Trondelag, Norway (the HUNT study), a 5% randomly selected sample (n=4,646) of the population >19 years of age was invited to undergo single X-ray absorptiometry (SXA) of the forearm. A total of 1,274 men (50.5 years) and 1,505 women (49.9 years) participated (60%). The aim of the study was to describe the variation in bone mineral density (BMD) and the prevalence of forearm BMD 2.5 standard deviations (SD) below the mean value for young adults in an unselected population sample. In women the BMD remained stable until the age of 50 years, whereupon a strong decline in BMD was observed. In men, a BMD increase was observed until about the age of 40 years; the decline after the age of 65 was, however, similar to that in women. Based on age and gender-specific reference values, the age-adjusted prevalence of T-scores <-2.5 SD in women and men aged 50-69 years was 16.0% and 5.6%, respectively. In the age group of 70 years or older the prevalence was 65.8% and 30.6% for women and men, respectively. The accelerated BMD reduction in women aged 50-65 explains the higher prevalence of T-score <-2.5 SD in elderly women than in men. Further studies on bone loss and falls are required to explain the high fracture incidence in Norway.

Separate assessment of forearm cortical and trabecular bone density from standard densitometry data

BACKGROUND

Cortical and trabecular bone are different bone components. Their mineral density cannot be measured directly by areal bone densitometry.

AIM

To introduce a method for assessment of pure radial cortical and trabecular bone density based on standard densitometry data.

METHOD

The study included 418 healthy females (aged 20-83 years, body mass index between 19 and 30) free of previous fractures and conditions or drugs affecting bone metabolism; as well as a group of 64 age-matched females with early menopause. Forearm bone density was measured by single X-ray absorptiometry and calculated separately for cortical and trabecular bone. Age-adjusted bone density curves were built.

RESULTS

Peak bone density was found to occur between 30 and 34 years of age and was 0.561 g/cm2 for cortical and 0.281 g/cm2 for trabecular bone. In comparison, lowest values were registered between 70 and 74 years of age; cortical bone density reduced by 26% and trabecular density by 44%. Both bone density profiles through life reflected the earlier peri- and postmenopausal (mainly trabecular) and later senile (cortical bone also involved) changes in bone mass. A step-wise pattern of trabecular bone reduction was registered with acceleration around 45, 55 and 65 years. The effects of early menopause on trabecular and cortical bone were tested in the prematurely menopausal women.

CONCLUSIONS

The ability of our model to discriminate between natural and premature menopause was moderate. Although hypothetical (based on calculations from integral densitometry data rather than on direct measurements), our method could differentiate between cortical and trabecular osteopenia and may prove helpful in assessing the type of osteoporosis, in making therapy choices and monitoring response to therapy based on forearm bone density.