View clinical trials related to Osteoporosis Risk.
Filter by:Osteoporosis is a condition that describes compromised skeletal microarchitecture in general, with clinical signs of decreased bone mineral density. Multiple sclerosis patients are at increased risk for developing osteoporosis. Identifying whether multiple sclerosis patients have information and awareness about this disease is crucial. This study is aimed to investigate awareness and knowledge of osteoporosis in patients with hyperthyroidism.
Osteoporosis is a condition that describes compromised skeletal microarchitecture in general, with clinical signs of decreased bone mineral density. Patients with hypothyroidism are at increased risk for developing osteoporosis. Identifying whether multiple sclerosis patients have information and awareness about this disease is crucial. This study is aimed to investigate awareness and knowledge of osteoporosis in patients with hypothyroidism.
Osteoporosis is a condition that describes compromised skeletal microarchitecture in general, with clinical signs of decreased bone mineral density. Diabetes mellitus patients are at increased risk for developing osteoporosis. Identifying whether multiple sclerosis patients have information and awareness about this disease is crucial. This study is aimed to investigate awareness and knowledge of osteoporosis in diabetes mellitus patients.
Osteoporosis is a condition that describes compromised skeletal microarchitecture in general, with clinical signs of decreased bone mineral density. Ankylosing spondylitis patients are at increased risk for developing osteoporosis. Identifying whether multiple sclerosis patients have information and awareness about this disease is crucial. This study is aimed to investigate awareness and knowledge of osteoporosis in ankylosing spondylitis patients.
This study will assess the incidence of osteoporosis and osteoporotic fracture risk of registered home health patients in the Anatolian side of Istanbul.
Osteoporosis is a disease characterized by low bone mass and structural deterioration of bone tissue leading to bone fragility (i.e., weakness) and an increased risk for fracture. Bone strength is a critical factor in a bone's ability to resist fracture and is clearly an important outcome in studies of osteoporosis. The current standard for assessing bone health and diagnosing osteoporosis is to use dual-energy x-ray absorptiometry (DXA) to quantify the areal bone mineral density (BMD), typically at the hip and spine. However, DXA-derived BMD has limited discriminatory accuracy for distinguishing individuals that experience fragility fracture from those who do not. One well known limitation of DXA-derived BMD is that it does not adequately assay bone strength. There is a critical unmet need to identify persons more accurately with diminished bone strength who are at high risk of experiencing a fragility fracture in order to determine an appropriate therapy. A potential new diagnostic approach to assess skeletal health and improve osteoporosis diagnosis is the use of Cortical Bone Mechanics Technology (CBMT). CBMT leverages multifrequency vibration analysis to conduct a noninvasive, dynamic 3-point bending test that makes direct, mechanical measurements of ulnar cortical bone. Data indicates that CBMT-derived ulnar flexural rigidity accurately estimates ulnar whole bone strength and provides information about cortical bone that is unique and independent of DXA-derived BMD. However, the clinical utility of CBMT-derived flexural rigidity has not yet been demonstrated. The investigators have designed a clinical study to assess the accuracy of CBMT-derived ulnar flexural rigidity in discriminating post-menopausal women who have suffered a fragility fracture from those who have not. These data will be compared to DXA-derived peripheral and central measures of BMD obtained from the same subjects.
OPTIMAL is a pilot feasibility study for a machine learning (ML) based enhanced screening software for osteoporosis. This tool has been created using machine learning, based on data from NHS Greater Glasgow and Clyde. The study will contact individuals deemed at high risk by the study (750 patients will be re-identified, and these will be contacted starting from the highest risk until 250 patients are recruited) and perform DXA scans, clinical review, and bloods tests that are relevant to osteoporosis. This data will then be compared to the predictions made by the OPTIMAL enhanced screening tool, in order to test how effective it is.
Multi-center, comparative, non-significant risk adaptive study with retrospective controls. After providing informed consent and being screened for eligibility, intervention subjects will be prescribed and provided an appropriately sized Tango Belt. The subject must demonstrate a minimum of 64% adherence to the use of the Tango Belt within 14 days of initiation to fully enroll in the study. Upon demonstration of at least minimum adherence, the subject will be provided the Tango Belt to wear continuously for at least 6 months, except during bathing, device charging, and as deemed by clinical staff. The study will investigate the safety and effectiveness of the Tango Belt with the primary and secondary endpoints being taken every 3 months and at the end of the study run time from the electronic medical record. Additionally, ancillary endpoints on adverse events and device performance will be gathered.
This is a randomized, controlled pilot study to evaluate the feasibility and acceptability of a single 2-hour culinary medicine intervention for bone health among individuals with age-associated low bone mass.
The primary objective of this study is to determine if 12 months of consuming 50 grams of dried plum daily will prevent bone loss or augment bone accrual of young adult oral contraceptive (OC) users.