Effect of body weight on spinal loads in various activities: A personalized biomechanical modeling approach

Hajihosseinali, Majid; Arjmand, Navid; Shirazi‐Adl, A.

doi:10.1016/j.jbiomech.2014.11.033

Cited by 63 publications

(33 citation statements)

References 35 publications

(50 reference statements)

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“…In accordance with our findings, Hajihosseinali et al (2015) and Han et al (2013) found also that BW markedly affects spinal loads and Han et al (2013) reported that BH has less effects on spinal loads. Moreover, obese individuals experience more spinal shrinkage (Yar, 2008) and implant subsidence (Behrbalk et al, 2013).…”

Section: Bw and Bhsupporting

confidence: 92%

“…Musculoskeletal models have emerged as robust and relatively accurate alternatives. Hajihosseinali et al (2015) applied an image-based anisotropic scaling method to modify musculature morphology in a musculoskeletal trunk model while investigating the effects of changes in BW on spinal loads. They reported that BW substantially influences spinal loads particularly at flexed postures.…”

Section: Introductionmentioning

confidence: 99%

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Effects of sex, age, body height and body weight on spinal loads: Sensitivity analyses in a subject-specific trunk musculoskeletal model

Ghezelbash

Shirazi‐Adl

Arjmand

et al. 2016

Journal of Biomechanics

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Five symmetric sagittal loading conditions were considered, and main effect plots and analyses of variance were employed to identify influential parameters. In all 5 tasks simulated, BW (98.9% in compression and 96.1% in shear) had the greatest effect on spinal loads at the L4-L5 and L5-S1 levels followed by sex (0.7% in compression and 2.1% in shear), BH (0.4% in compression and 1.5% in shear) and finally age (<5.4%). At identical BH and BW, spinal loads in females were slightly greater than those in males by ~4.7% in compression and ~8.7% in shear. In tasks with no loads in hands, BW-normalized spinal loads further increased with BW highlighting the exponential increase in spinal loads with BW that indicates the greater risk of back disorders especially in obese individuals. Uneven distribution of weight in obese subjects, with more 17 BW placed at the lower trunk, further (though slightly <7.5%) increased spinal loads.

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Section: Bw and Bhsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Effects of sex, age, body height and body weight on spinal loads: Sensitivity analyses in a subject-specific trunk musculoskeletal model

Ghezelbash

Shirazi‐Adl

Arjmand

et al. 2016

Journal of Biomechanics

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“…Another significant covariate was body mass index, confirming the findings of several previous studies [24][25][26]. Loading of the lumbar spine increases substantially with greater BMI [27], and excessive weight could have a negative influence on the weakened/degenerate spine, effecting a worse outcome. A further lifestyle-associated covariate that showed a significant influence on patient outcome was smoking, with smokers showing a 0.29-point (95 % CI 0.11-0.48; p \ 0.05) worse COMI score 12 months postoperatively than non-smokers.…”

Section: Strength and Weaknesses Of The Studysupporting

confidence: 85%

Influence of previous surgery on patient-rated outcome after surgery for degenerative disorders of the lumbar spine

et al. 2016

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“…We found that load levels greater than 267 N (60 lbs) would be desirable in the loaded case for DTS‐DVC based displacement calculations. Using the body weight, height and sex of the donors in the current study, and results from computational models in the literature, we estimate that these vertebrae would experience 249–691 N standing loads in vivo. Based on mechanical test data from cadaveric vertebrae in other experiments, these loads are expected to generate displacements of 0.052–0.149 mm, approximately 23–65 times the total error.…”

Section: Discussionmentioning

confidence: 99%

Digital tomosynthesis based digital volume correlation: A clinically viable noninvasive method for direct measurement of intravertebral displacements using images of the human spine under physiological load

et al. 2019

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Purpose We have developed a clinically viable method for measurement of direct, patient‐specific intravertebral displacements using a novel digital tomosynthesis based digital volume correlation technique. These displacements may be used to calculate vertebral stiffness under loads induced by a patient's body weight; this is particularly significant because, among biomechanical variables, stiffness is the strongest correlate of bone strength. In this proof of concept study, we assessed the feasibility of the method through a preliminary evaluation of the accuracy and precision of the method, identification of a range of physiological load levels for which displacements are measurable, assessment of the relationship of measured displacements with microcomputed tomography based standards, and demonstration of the in vivo application of the technique. Methods Five cadaveric T11 vertebrae were allocated to three groups in order to study (a) the optimization of digital volume correlation algorithm input parameters, (b) accuracy and precision of the method and the ability to measure displacements at a range of physiological load levels, and (c) the correlation between displacements measured using tomosynthesis based digital volume correlation vs. high resolution microcomputed tomography based digital volume correlation and large scale finite element models. Tomosynthesis images of one patient (Female, 60 yr old) were used to calculate displacement maps, and in turn stiffness, using images acquired in both standing and standing‐with‐weight (8 kg) configurations. Results We found that displacements were accurate (2.28 µm total error) and measurable at physiological load levels (above 267 N) with a linear response to applied load. Calculated stiffness among three tested vertebral bodies was within an acceptable range relative to reported values for vertebral stiffness (5651‐13260 N/mm). Displacements were in good qualitative and quantitative agreement with both microcomputed tomography based finite element (r2 = 0.762, P < 0.001) and digital volume correlation (r2 = 0.799, P < 0.001) solutions. For one patient tested twice, once standing and once holding weights, results demonstrated excellent qualitative reproducibility of displacement distributions with superior endplate displacements increasing by 22% with added weight. Conclusions The results of this work collectively suggest the feasibility of the method for in vivo measurement of intravertebral displacements and stiffness in humans. These findings suggest that digital volume correlation using digital tomosynthesis imaging may be useful in understanding the mechanical response of bone to disease and may further enhance our ability to assess fracture risk and treatment efficacy for the spine.

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Effect of body weight on spinal loads in various activities: A personalized biomechanical modeling approach

Cited by 63 publications

References 35 publications

Effects of sex, age, body height and body weight on spinal loads: Sensitivity analyses in a subject-specific trunk musculoskeletal model

Effects of sex, age, body height and body weight on spinal loads: Sensitivity analyses in a subject-specific trunk musculoskeletal model

Influence of previous surgery on patient-rated outcome after surgery for degenerative disorders of the lumbar spine

Digital tomosynthesis based digital volume correlation: A clinically viable noninvasive method for direct measurement of intravertebral displacements using images of the human spine under physiological load

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