Improving Bone Health and Detection of Osteoporosis

Cox, Shanan Irene; Hooper, Gwendolyn

doi:10.1016/j.nurpra.2020.05.008

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…This number is anticipated to rise as our population ages globally [2]. The provision of mechanical support to our body by bones is one of their most crucial dynamic functions [3]. People are living longer today thanks to the treatments that are available.…”

Section: Introductionmentioning

confidence: 99%

Non-Invasive Machine Learning-Based Classification of Bone Health

Bhise¹,

Havaldar²

2022

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Osteoporosis is a disease that affects both men and women of all ages but is more commonly seen in women. A measure called Bone Mineral Density (BMD) is often used to raise a warning about the disease. BMD is calculated using a variety of image processing algorithms in both X-ray and dual energy X-ray absorptiometry (DEXA) images. It is a measure of the important T-score, which reflects the degree of osteoporosis. There are many ways to quantify BMD, but DEXA is often regarded as the gold standard. The significance of DEXA images for osteoporosis detection was found in several research. The healthcare system has a serious issue with the lack of osteoporosis education and screening. There is a ton of literature available for diagnosing osteoporosis as well. The numerous methods for detecting osteoporosis will be covered in this review. The problems from the literature analysis, image processing algorithms for detecting osteoporosis, interpretations of the results, and potential recommendations are all included in this work.

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Section: Introductionmentioning

confidence: 99%

Non-Invasive Machine Learning-Based Classification of Bone Health

Bhise¹,

Havaldar²

2022

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“…Williams et al (2020) reported healthcare costs for individuals in the 12 months following fracture are more than $30,000. Anticipated osteoporosis costs in the United States are expected to continue, rising to more than $90 billion by 2040 (Cox & Hooper, 2020).…”

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confidence: 99%

Changing Osteoporosis Knowledge and Behaviors Through Structured Education

Ross

Gilder

2023

Orthopaedic Nursing

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Osteoporosis is a silent disease that is associated with enormous cost and can lead to disability and death. We identified that individuals who have sustained a fracture from a fall are often unaware of osteoporosis risk factors and have a knowledge deficit regarding osteoporosis. Therefore, they do not receive the proper treatment. An evidence-based practice project was completed using “pre-post” intervention tools with an educational intervention to measure osteoporosis knowledge and self-efficacy in individuals hospitalized with a fragility fracture. A convenience sample of 25 participants 50 years and older, who were admitted with a fragility fracture, received targeted education. Descriptive and comparative statistics were used for comparison of pre- and postintervention data. Hospitalized osteoporotic individuals have a gap in knowledge regarding the existence of osteoporosis. Healthcare workers can improve knowledge and self-efficacy by offering osteoporosis education for these individuals.

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Bone Density and Fall Risk Screening in Algarve

Ribeiro

Pinheiro

Abrantes

et al. 2021

Integrated Care and Fall Prevention in Active and Healthy Aging

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Osteoporosis is a major cause of morbidity and mortality around the world and is a silent disease characterized by low bone strength that results in an increased risk of fracture. The benefits of being physically active in advanced ages to reduce the loss of bone mineral density (BMD) and improve functional capacities are well known. Quantitative ultrasound (QUS) is a peripheral bone densitometry technique that is rapidly gaining in popularity for the assessment of skeletal status, along with fall risk assessment. This chapter consists of a brief review of the literature on osteoporosis and describes ongoing activities on bone density and fall risk prevention in Algarve, Portugal as part of EIP AHA´s action group on fall prevention with the presentation of a preliminary study. This study aimed to demonstrate that the postmenopausal female seniors who adhere to the recommendations for the regular program of physical activity after osteoporosis screening one year later show a slower decrease in BMD.

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Improving Bone Health and Detection of Osteoporosis

Cited by 3 publications

References 17 publications

Non-Invasive Machine Learning-Based Classification of Bone Health

Non-Invasive Machine Learning-Based Classification of Bone Health

Changing Osteoporosis Knowledge and Behaviors Through Structured Education

Bone Density and Fall Risk Screening in Algarve

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