Improving the prediction of sideways fall-induced impact force for women by developing a female-specific equation

Sarvi, Masoud Nasiri; Luo, Yunhua

doi:10.1016/j.jbiomech.2019.03.019

Cited by 6 publications

(4 citation statements)

References 50 publications

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“…These factors collectively contribute to an increased risk of falls and subsequent hip fractures. A total of 29 out of the 34 studies that reported the mean age of both the hip fracture and non-fracture groups indicated significantly higher ages within the fracture group (pooled Cohen's d 0.63; 95% CI 0.44 to 0.82; p < 0.01) [6,10,[18][19][20][21][22][23][24]29,[32][33][34]36,39,41,43,44,[47][48][49][50]52,53,57,[59][60][61][62][63]65,69,71,74] (Figure 2). This finding aligns with earlier research highlighting decreased BMD with advancing age and heightened susceptibility to fractures among older, more vulnerable groups.…”

Section: Agementioning

confidence: 99%

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Sociodemographic and Lifestyle Risk Factors Associated with Fragility Hip Fractures: A Systematic Review and Meta-Analysis

Yeritsyan,

Momenzadeh,

Mohamadi

et al. 2024

Osteology

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Hip fractures inflict heightened morbidity and mortality upon older adults. Although previous studies have explored the impact of individual demographic factors on hip fracture risk, a comprehensive review can help reconcile disparities among these factors. This meta-analysis encompassed 69 studies involving 976,677 participants and 99,298 cases of hip fractures. We found that age ≥ 85 (OR = 1.75), BMI < 18.5 (OR 1.72), female sex (OR = 1.23), history of falls (OR = 1.88), previous fractures (OR = 3.16), menopause (OR 7.21), history of maternal hip fractures (OR = 1.61), single and unmarried status (OR = 1.70), divorced status (OR 1.38), residing in a residential care facility (OR = 5.30), and living alone (OR = 1.47) were significantly associated with an increased incidence of hip fracture. Conversely, BMI ranging from 25 to 30 (OR = 0.59), BMI > 30 (OR = 0.38), parity (OR = 0.79), non-Caucasian descent (overall OR = 0.4, Asian OR 0.36, Black OR = 0.39, and Hispanic OR = 0.45), and rural residence (OR = 0.95) were significantly associated with a diminished risk of hip fracture. Hip fracture patients exhibited significantly lower weight and BMI than the non-fracture group, while their age was significantly higher. However, age at menopause and height did not significantly differ between the two groups.

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Section: Agementioning

confidence: 99%

“…Figure 2.Forest plot demonstrating pooled effect size of age as a risk factor for osteoporotic hip fracture. Box and whiskers represent each study with its 95% confidence interval and the green diamond represents the overall effect size[6,10,[18][19][20][21][22][23][24]29,[32][33][34]36,39,41,43,44,[47][48][49][50]52,53,57,[59][60][61][62][63]65,69,71,74].…”

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confidence: 99%

Sociodemographic and Lifestyle Risk Factors Associated with Fragility Hip Fractures: A Systematic Review and Meta-Analysis

Yeritsyan,

Momenzadeh,

Mohamadi

et al. 2024

Osteology

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“…The interaction between body and ground using a mass-spring-damper system and patient-specific variables, e.g., hip soft tissue thickness, body mass index, body height and weight, was modelled by [35,295,296]. Conclusions showed that patient-specific dynamic models can improve the accuracy of hip fracture risk analysis.…”

Section: Highlightmentioning

confidence: 99%

Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis—A Survey

et al. 2019

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This paper provides a starting point for researchers and practitioners from biology, medicine, physics and engineering who can benefit from an up-to-date literature survey on patient-specific bone fracture modelling, simulation and risk analysis. This survey hints at a framework for devising realistic patient-specific bone fracture simulations. This paper has 18 sections: Section 1 presents the main interested parties; Section 2 explains the organzation of the text; Section 3 motivates further work on patient-specific bone fracture simulation; Section 4 motivates this survey; Section 5 concerns the collection of bibliographical references; Section 6 motivates the physico-mathematical approach to bone fracture; Section 7 presents the modelling of bone as a continuum; Section 8 categorizes the surveyed literature into a continuum mechanics framework; Section 9 concerns the computational modelling of bone geometry; Section 10 concerns the estimation of bone mechanical properties; Section 11 concerns the selection of boundary conditions representative of bone trauma; Section 12 concerns bone fracture simulation; Section 13 presents the multiscale structure of bone; Section 14 concerns the multiscale mathematical modelling of bone; Section 15 concerns the experimental validation of bone fracture simulations; Section 16 concerns bone fracture risk assessment. Lastly, glossaries for symbols, acronyms, and physico-mathematical terms are provided.

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“…A computationally less intensive model that does not require specialists knowledge will be more desirable. Such attempts were made by Zijden et al (2017) and Sarvi and Luo (2019). To estimate the peak hip impact force, the former created a generic multi-linear regression model that accounted for different subjectspecific and kinematic variables.…”

Section: Introductionmentioning

confidence: 99%

Modelling Human-Structure Interaction in Sideways Fall for Hip Impact Force Estimation

Lau¹,

Kok²,

Chen³

et al. 2022

IJTech

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Sideways fall-induced hip fracture is a primary global health concern among the elderly. Existing impact models for predicting peak hip impact force mostly consider the human bodyrelated parameters rather than impact surface parameters. This study proposed improving existing spring-mass-damper models by accounting for the human-structure dynamic interaction during sideways fall for better predicting peak impact force on the hip. Information required to construct the models was extracted from the literature. Different peak hip impact forces were estimated by considering differences in gender, body height, body mass, stiffness, damping coefficients of body tissue over the greater trochanter, and the impact surface stiffness. The predicted peak hip impact forces were compared to measured or simulated results in the literature and found to agree reasonably. Simulation results show that interactions with impact surfaces with lower stiffness can reduce the value of peak impact force applied on the hip by at least 16%.

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Improving the prediction of sideways fall-induced impact force for women by developing a female-specific equation

Cited by 6 publications

References 50 publications

Sociodemographic and Lifestyle Risk Factors Associated with Fragility Hip Fractures: A Systematic Review and Meta-Analysis

Sociodemographic and Lifestyle Risk Factors Associated with Fragility Hip Fractures: A Systematic Review and Meta-Analysis

Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis—A Survey

Modelling Human-Structure Interaction in Sideways Fall for Hip Impact Force Estimation

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