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Dive into the research topics where Brett T. Allaire is active.

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Featured researches published by Brett T. Allaire.


Journal of Bone and Mineral Research | 2015

Low‐Magnitude Mechanical Stimulation to Improve Bone Density in Persons of Advanced Age: A Randomized, Placebo‐Controlled Trial

Douglas P. Kiel; Marian T. Hannan; Bruce A. Barton; Mary L. Bouxsein; Emily Sisson; Thomas Lang; Brett T. Allaire; Dawn Dewkett; Danette Carroll; Jay Magaziner; Elizabeth Shane; Elizabeth Teng Leary; Sheryl Zimmerman; Clinton T. Rubin

Nonpharmacologic approaches to preserve or increase bone mineral density (BMD) include whole‐body vibration (WBV), but its efficacy in elderly persons is not clear. Therefore, we conducted the Vibration to Improve Bone in Elderly Subjects (VIBES) trial, a randomized, placebo‐controlled trial of 10 minutes of daily WBV (0.3g at 37 Hz) in seniors recruited from 16 independent living communities. The primary outcomes were volumetric BMD of the hip and spine measured by quantitative computed tomography (QCT) and biochemical markers of bone turnover. We randomized 174 men and women (89 active, 85 placebo) with T‐scores –1 to –2.5 who were not taking bone active drugs and had no diseases affecting the skeleton (mean age 82 ± 7 years, range 65 to 102). Participants received daily calcium (1000 mg) and vitamin D (800 IU). Study platforms were activated using radio frequency ID cards providing electronic adherence monitoring; placebo platforms resembled the active platforms. In total, 61% of participants in the active arm and 73% in the placebo arm completed 24 months. The primary outcomes, median percent changes (interquartile range [IQR]) in total volumetric femoral trabecular BMD (active group (2.2% [–0.8%, 5.2%]) versus placebo 0.4% [–4.8%, 5.0%]) and in mid‐vertebral trabecular BMD of L1 and L2 (active group (5.3% [–6.9%, 13.3%]) versus placebo (2.4% [–4.4%, 11.1%]), did not differ between groups (all p values > 0.1). Changes in biochemical markers of bone turnover (P1NP and sCTX) also were not different between groups (p = 0.19 and p = 0.97, respectively). In conclusion, this placebo‐controlled randomized trial of daily WBV in older adults did not demonstrate evidence of significant beneficial effects on volumetric BMD or bone biomarkers; however, the high variability in vBMD changes limited our power to detect small treatment effects. The beneficial effects of WBV observed in previous studies of younger women may not occur to the same extent in elderly individuals.


Journals of Gerontology Series A-biological Sciences and Medical Sciences | 2016

Associations of Computed Tomography-Based Trunk Muscle Size and Density With Balance and Falls in Older Adults

Dennis E. Anderson; Emily Quinn; Emily Parker; Brett T. Allaire; Jesse Muir; Clinton T. Rubin; Jay Magaziner; Marian T. Hannan; Mary L. Bouxsein; Douglas P. Kiel

BACKGROUND Deficits in balance and muscle function are important risk factors for falls in older adults. Aging is associated with significant declines in muscle size and density, but associations of trunk muscle size and density with balance and falls in older adults have not been previously examined. METHODS Trunk muscle size (cross-sectional area) and attenuation (a measure of tissue density) were measured in computed tomography scans (at the L2 lumbar level) in a cohort of older adults (mean ± SD age of 81.9±6.4) residing in independent living communities. Outcome measures were postural sway measured during quiet standing and Short Physical Performance Battery (SPPB) at baseline, and falls reported by participants for up to 3 years after baseline measurements. RESULTS Higher muscle density was associated with reduced postural sway, particularly sway velocities, in both men and women, and better Short Physical Performance Battery score in women, but was not associated with falls. Larger muscle size was associated with increased postural sway in men and women and with increased likelihood of falling in men. CONCLUSIONS The results suggest that balance depends more on muscle quality than on the size of the muscle. The unexpected finding that larger muscle size was associated with increased postural sway and increased fall risk requires further investigation, but highlights the importance of factors besides muscle size in muscle function in older adults.


Journal of Bone and Mineral Research | 2016

Heritability of Thoracic Spine Curvature and Genetic Correlations With Other Spine Traits: The Framingham Study

Michelle S. Yau; Serkalem Demissie; Yanhua Zhou; Dennis E. Anderson; Amanda L. Lorbergs; Douglas P. Kiel; Brett T. Allaire; Laiji Yang; L. Adrienne Cupples; Thomas G. Travison; Mary L. Bouxsein; David Karasik; Elizabeth J. Samelson

Hyperkyphosis is a common spinal disorder in older adults, characterized by excessive forward curvature of the thoracic spine and adverse health outcomes. The etiology of hyperkyphosis has not been firmly established, but may be related to changes that occur with aging in the vertebrae, discs, joints, and muscles, which function as a unit to support the spine. Determining the contribution of genetics to thoracic spine curvature and the degree of genetic sharing among co‐occurring measures of spine health may provide insight into the etiology of hyperkyphosis. The purpose of our study was to estimate heritability of thoracic spine curvature using T4–T12 kyphosis (Cobb) angle and genetic correlations between thoracic spine curvature and vertebral fracture, intervertebral disc height narrowing, facet joint osteoarthritis (OA), lumbar spine volumetric bone mineral density (vBMD), and paraspinal muscle area and density, which were all assessed from computed tomography (CT) images. Participants included 2063 women and men in the second and third generation offspring of the original cohort of the Framingham Study. Heritability of kyphosis angle, adjusted for age, sex, and weight, was 54% (95% confidence interval [CI], 43% to 64%). We found moderate genetic correlations between kyphosis angle and paraspinal muscle area ( ρˆG, –0.46; 95% CI, –0.67 to –0.26), vertebral fracture ( ρˆG, 0.39; 95% CI, 0.18 to 0.61), vBMD ( ρˆG, –0.23; 95% CI, –0.41 to –0.04), and paraspinal muscle density ( ρˆG, –0.22; 95% CI, –0.48 to 0.03). Genetic correlations between kyphosis angle and disc height narrowing ( ρˆG, 0.17; 95% CI, –0.05 to 0.38) and facet joint OA ( ρˆG, 0.05; 95% CI, –0.15 to 0.24) were low. Thoracic spine curvature may be heritable and share genetic factors with other age‐related spine traits including trunk muscle size, vertebral fracture, and bone mineral density.


Journal of Orthopaedic Research | 2017

Incorporation of ct‐based measurements of trunk anatomy into subject‐specific musculoskeletal models of the spine influences vertebral loading predictions

Alexander G. Bruno; Hossein Mokhtarzadeh; Brett T. Allaire; Kelsey Velie; M. Clara DePaolis Kaluza; Dennis E. Anderson; Mary L. Bouxsein

We created subject‐specific musculoskeletal models of the thoracolumbar spine by incorporating spine curvature and muscle morphology measurements from computed tomography (CT) scans to determine the degree to which vertebral compressive and shear loading estimates are sensitive to variations in trunk anatomy. We measured spine curvature and trunk muscle morphology using spine CT scans of 125 men, and then created four different thoracolumbar spine models for each person: (i) height and weight adjusted (Ht/Wt models); (ii) height, weight, and spine curvature adjusted (+C models); (iii) height, weight, and muscle morphology adjusted (+M models); and (iv) height, weight, spine curvature, and muscle morphology adjusted (+CM models). We determined vertebral compressive and shear loading at three regions of the spine (T8, T12, and L3) for four different activities. Vertebral compressive loads predicted by the subject‐specific CT‐based musculoskeletal models were between 54% lower to 45% higher from those estimated using musculoskeletal models adjusted only for subject height and weight. The impact of subject‐specific information on vertebral loading estimates varied with the activity and spinal region. Vertebral loading estimates were more sensitive to incorporation of subject‐specific spinal curvature than subject‐specific muscle morphology. Our results indicate that individual variations in spine curvature and trunk muscle morphology can have a major impact on estimated vertebral compressive and shear loads, and thus should be accounted for when estimating subject‐specific vertebral loading.


Journal of Bone and Mineral Research | 2017

Spinal Loading Patterns from Biomechanical Modeling Explain the High Incidence of Vertebral Fractures in the Thoracolumbar Region

Alexander G. Bruno; Katelyn Burkhart; Brett T. Allaire; Dennis E. Anderson; Mary L. Bouxsein

Vertebral fractures occur most frequently in the mid‐thoracic and thoracolumbar regions of the spine, yet the reasons for this site‐specific occurrence are not known. Our working hypothesis is that the locations of vertebral fracture may be explained by the pattern of spine loading, such that during daily activities the mid‐thoracic and thoracolumbar regions experience preferentially higher mechanical loading compared to other spine regions. To test this hypothesis, we used a female musculoskeletal model of the full thoracolumbar spine and rib cage to estimate the variation in vertebral compressive loads and associated factor‐of‐risk (load‐to‐strength ratio) throughout the spine for 119 activities of daily living, while also parametrically varying spine curvature (high, average, low, and zero thoracic kyphosis models). We found that nearly all activities produced loading peaks in the thoracolumbar and lower lumbar regions of the spine, but that the highest factor‐of‐risk values generally occurred in the thoracolumbar region of the spine because these vertebrae had lower compressive strength than vertebrae in the lumbar spine. The peaks in compressive loading and factor‐of‐risk in the thoracolumbar region were accentuated by increasing thoracic kyphosis. Activation of the multifidus muscle fascicles selectively in the thoracolumbar region appeared to be the main contributor to the relatively high vertebral compressive loading in the thoracolumbar spine. In summary, by using advanced musculoskeletal modeling to estimate vertebral loading throughout the spine, this study provides a biomechanical mechanism for the higher incidence of fractures in thoracolumbar vertebrae compared to other spinal regions.


Journal of the American Geriatrics Society | 2017

Thoracic Kyphosis and Physical Function: The Framingham Study

Amanda L. Lorbergs; Joanne M. Murabito; Mohamed Jarraya; Ali Guermazi; Brett T. Allaire; Laiji Yang; Douglas P. Kiel; L. Adrienne Cupples; Mary L. Bouxsein; Thomas G. Travison; Elizabeth J. Samelson

To evaluate the association between thoracic kyphosis and physical function.


Journals of Gerontology Series A-biological Sciences and Medical Sciences | 2018

A Longitudinal Study of Trunk Muscle Properties and Severity of Thoracic Kyphosis in Women and Men: The Framingham Study

Amanda L. Lorbergs; Brett T. Allaire; Laiji Yang; Douglas P. Kiel; L. Adrienne Cupples; Mohamed Jarraya; Ali Guermazi; Thomas G. Travison; Mary L. Bouxsein; Dennis E. Anderson; Elizabeth J. Samelson

BACKGROUND Cross-sectional studies suggest that trunk muscle morphology in the lumbar spine is an important determinant of kyphosis severity in older adults. The contribution of age-related changes in muscle morphology in the thoracic and lumbar spine to progression of kyphosis is not known. Our objective was to determine cross-sectional and longitudinal associations of thoracic and lumbar muscle size and density with kyphosis. METHODS Participants were 1,087 women and men (mean age: 61 years) of the Framingham Heart Study who underwent baseline and follow-up quantitative computed tomography (QCT) scanning 6 years apart. We used QCT scans to measure trunk muscle cross-sectional area (CSA, cm2) and density (HU) at the thoracic and lumbar spine and Cobb angle (degrees) from T4 to T12. Linear regression models estimated the association between muscle morphology and kyphosis. RESULTS At baseline, smaller muscle CSA and lower density of thoracic (but not lumbar) spine muscles were associated with a larger (worse) Cobb angle in women and men. For example, each standard deviation decrease in baseline thoracic paraspinal muscle CSA was associated with a larger baseline Cobb angle in women (3.7 degrees, 95% CI: 2.9, 4.5) and men (2.5 degrees, 95% CI: 1.6, 3.3). Longitudinal analyses showed that loss of muscle CSA and density at the thoracic and lumbar spine was not associated with progression of kyphosis. CONCLUSIONS Our findings suggest that kyphosis severity is related to smaller and lower density trunk muscles at the thoracic spine. Future studies are needed to determine how strengthening mid-back musculature alters muscle properties and contributes to preventing kyphosis progression.


Current Osteoporosis Reports | 2018

Fracture Prediction by Computed Tomography and Finite Element Analysis: Current and Future Perspectives

Fjola Johannesdottir; Brett T. Allaire; Mary L. Bouxsein

Purpose of ReviewThis review critiques the ability of CT-based methods to predict incident hip and vertebral fractures.Recent FindingsCT-based techniques with concurrent calibration all show strong associations with incident hip and vertebral fracture, predicting hip and vertebral fractures as well as, and sometimes better than, dual-energy X-ray absorptiometry areal biomass density (DXA aBMD). There is growing evidence for use of routine CT scans for bone health assessment.SummaryCT-based techniques provide a robust approach for osteoporosis diagnosis and fracture prediction. It remains to be seen if further technical advances will improve fracture prediction compared to DXA aBMD. Future work should include more standardization in CT analyses, establishment of treatment intervention thresholds, and more studies to determine whether routine CT scans can be efficiently used to expand the number of individuals who undergo evaluation for fracture risk.


ASME 2012 Summer Bioengineering Conference, Parts A and B | 2012

CT-Based Muscle Attenuation May be Able to Account for Age- and Muscle-Specific Differences in Maximum Muscle Stress

Dennis E. Anderson; Alexander G. Bruno; Brett T. Allaire; Mary L. Bouxsein

In musculoskeletal modeling, isometric muscle strength has been primarily determined based on muscle size. Specifically, the maximum force a muscle can produce may be calculated as: Display Formula(1)FMAX=MMS×PCSA where FMAX is maximum isometric muscle force, MMS is maximum muscle stress, and PCSA is muscle physiological cross-sectional area. In general, modeling studies have selected a constant value of MMS, and applied it to all muscles in the model. However, the values reported in the literature for MMS vary widely [1, 2], from as little as 23 N/cm2 up to 137 N/cm2. Furthermore, MMS is likely lower in older adults than young adults, as age-related declines in muscle strength are significantly greater than declines in muscle mass [3], and the specific tension of gastrocnemius fascicles is 30% lower in elderly men than young men [4]. In addition, MMS is not constant between muscle groups. For example, the MMS of the elbow flexors is much greater than that of the elbow extensors [1], while the MMS of the ankle dorsiflexors is more than twice that of the ankle plantar flexors [5]. Thus, the use of a single constant for MMS in musculoskeletal models does not account for differences between individuals or muscle groups, and there is a need for a quantitative approach to assign different values of MMS to muscles in musculoskeletal models.Copyright


Osteoporosis International | 2017

Targeted spine strengthening exercise and posture training program to reduce hyperkyphosis in older adults: results from the study of hyperkyphosis, exercise, and function (SHEAF) randomized controlled trial

Wendy B. Katzman; Eric Vittinghoff; F. Lin; Anne L. Schafer; R. K. Long; S. Wong; Amy Gladin; Bo Fan; Brett T. Allaire; D. M. Kado; N. E. Lane

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Dennis E. Anderson

Beth Israel Deaconess Medical Center

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Douglas P. Kiel

Beth Israel Deaconess Medical Center

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Alexander G. Bruno

Beth Israel Deaconess Medical Center

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Fjola Johannesdottir

Beth Israel Deaconess Medical Center

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