Risk factors may vary for different types of fracture, in particular for vertebral fractures. We followed 367 women >50 yr of age from a population-based cohort for up to 10 yr. Factors that predicted vertebral rather than nonvertebral fractures related to physical weakness, poor health, and weight loss. Similar factors were also associated with greater bone loss at the hip.Introduction: Many risk factors predict fractures overall, but it is less clear whether certain factors relate to vertebral fractures in particular. The aim of this study was to compare the risk factors for vertebral and nonvertebral fractures. Materials and Methods:We carried out a 10-yr prospective population-based study of 375 women who were 50-85 yr of age initially. At baseline, we measured BMD, blood and urine biochemistry, and anthropometric measurements. Medical and lifestyle data were obtained by questionnaire. Incident vertebral fractures were determined for 311 subjects from spinal radiographs at 0, 2, 5, 7, and 10 yr using an algorithm-based qualitative method, and nonvertebral fractures were confirmed radiographically. Relative risks were calculated by Cox regression analysis. Results: During follow-up, 70 subjects sustained one or more nonvertebral fractures and 29 sustained one or more vertebral fractures. Risk factors that predicted both types of fracture included increasing age, decreasing BMD at all sites, prevalent vertebral fracture, and shorter estrogen exposure. For nonvertebral fractures only, the risk factors included low urinary creatinine and less frequent use of stairs. The factors for vertebral fractures included lighter weight, reduced body fat, heavy smoking, lower serum calcium, albumin, and thyroid T 3 , weak grip strength, and poor physical capability. In a multivariate model, weight, fat mass, serum calcium and T 3 , prevalent vertebral fracture, and physical capability remained significant. Furthermore, grip strength, serum albumin, weight loss, and physical capability were associated with rate of bone loss at the femoral neck, and a fast rate of bone loss was also associated with vertebral fractures. Conclusions: We conclude that overall frailty, which may consist of general poor health, small or thin body size, and lack of strength and physical capability, predicts vertebral fractures but is not a significant predictor of nonvertebral fractures. Bone loss rates are associated with similar risk factors and also with the incidence of vertebral fractures.

In order to interpret bone turnover markers (BTMs), we need to establish healthy reference intervals. It is difficult to establish reference intervals for older women because they commonly suffer from diseases or take medications that affect bone turnover. The aims of this study were: (1) to identify diseases and drugs that have a substantial effect on BTMs; (2) to establish reference intervals for premenopausal and postmenopausal women; and (3) to examine the effects of other factors on BTMs in healthy postmenopausal women. We studied women aged 30-39 years (n=258) and women aged 55-79 years (n=2419) from a five-European centre population-based study. We obtained a nonfasting serum and second morning void urine samples at a single baseline visit. BTMs were measured using automated immunoassay analysers. BTMs were higher in patients with vitamin D deficiency and chronic kidney disease. Three or more BTMs were higher in women who were osteoporotic and at least two BTMs were lower in women who were oestrogen replete, taking osteoporosis treatments or having diseases known to affect bone turnover. These were used as exclusion criteria for selecting the populations for the reference intervals. The reference intervals for BTMs were higher in postmenopausal than premenopausal women. Levels of BTMs were not dependent on geographical location and increased with age.

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Some, but not all, studies have found that low endogenous estradiol levels in postmenopausal women are predictive of fractures. The aim of this study was to examine the roles of endogenous estradiol (E(2)), sex hormone binding globulin (SHBG), and dehydroepiandrosterone sulfate (DHEAS) in the prediction of incident vertebral and nonvertebral fractures. The study subjects were 797 postmenopausal women from the population-based OPUS (Osteoporosis and Ultrasound Study) study. Spine radiographs and dual-energy X-ray absorptiometry scans were obtained for all subjects at baseline and 6-year follow-up. Nonfasting blood samples were taken at baseline for E(2), SHBG, DHEAS, and bone turnover markers. Incident nonvertebral fractures were self-reported and verified; vertebral fractures were diagnosed at a single center from spinal radiographs. Medical and lifestyle data were obtained by questionnaire at each visit. Thirty-nine subjects had an incident vertebral fracture and 119 a nonvertebral fracture. Estradiol in the lowest quartile predicted vertebral fracture independent of confounders including age, body mass index, bone mineral density, bone turnover, fracture history, and use of antiresorptive therapy, with an OR of 2.97 (95 % confidence interval [CI] 1.52-5.82) by logistic regression. A calculated free estradiol index was not a stronger predictor than total E(2). Higher SHBG predicted vertebral fracture independently of age and body mass index, but not independently of E(2), bone mineral density, or prevalent fracture. Low DHEAS did not predict vertebral fracture. Nonvertebral fractures were not predicted by any of E(2), SHBG, or DHEAS, either in univariate or multivariate analyses. These findings suggest that there may be mechanistic differences in the protective effect of E(2) at vertebral compared with nonvertebral sites.

Tablet counts may give similar results overall but conceal substantial individual non-adherence. Monitoring caps may assess adherence more accurately than tablet counts and would be the preferred method in clinical trials. The degree of adherence is associated with both bone turnover and BMD responses to anti-resorptive therapy.