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days caused by back pain in postmenopausal women with existing vertebral fractures. Fracture Intervention Trial Research Group. Arch Intern Med 160:77–85PubMedCrossRef”
“Introduction Clinical risk factors associated with an increased CB-839 probability of osteoporosis-associated fractures in postmenopausal women are well documented, and several interventions have been

shown to lower fracture risk [1–3]. However, there is evidence that many individuals who have these risk factors and are candidates for preventive care to reduce the likelihood of future fractures go unrecognized and untreated [4, 5]. While responsibility for this gap is assumed to lie largely within the healthcare system, individuals also need to recognize and understand the risks that predispose them to fracture in order to be motivated to both seek medical care and adhere to recommendations made if effective prevention strategies are to be successful. Several studies suggest

that under-appreciation of osteoporosis-related fracture risk may play a role in explaining the evaluation and treatment gap. In community samples of women from South Australia, there was a lack of knowledge of osteoporosis risk factors overall; risk was wrongly self-perceived to be higher among younger (age 45 to 54 years) than older (>55) women [6]. In a community-based study of women with an average age of 60 (85% greater than age 50) from the Southwestern United States, only 16% perceived themselves to be at higher risk of osteoporosis www.selleckchem.com/products/cobimetinib-gdc-0973-rg7420.html compared with 63% who thought their risk was low [7]. Among a group of Canadian very patients with recent fragility fractures, fewer than 50% believed they were at increased risk of future fractures [8]. To explore the role that patient perceptions might play in the current setting of both under-diagnosis and under-treatment of those at increased risk of fracture, we assessed self-perceived risk of fracture among women 55 years of age and older. We compared perceived risk with self-reported characteristics known to increase fracture risk, including risk factors utilized by the FRAX® algorithm (the recently released World Health Organization 10-year absolute fracture risk assessment tool [9]), using data from the Global Longitudinal Study of Osteoporosis in Women (GLOW).