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Item ARTE index revisited: linking biomarkers of cardiometabolic health with free-living physical activity in postmenopausal women(American Physiological Society, 2022-04-01) Carter, Stephen J.; Baranauskas, Marissa N.; Singh,, Harshvardhan; Martins, Catia; Hunter, Gary R.; Exercise & Kinesiology, School of Health and Human SciencesActivity-related energy expenditure (AEE) correlates with physical activity volume; however, between-person differences in body size and walking economy (net V̇o2) can influence AEE. The ratio of total energy expenditure (TEE) and resting energy expenditure (REE) estimates physical activity level (PAL) relative to body mass, yet does not account for variance in walking economy. The activity-related time equivalent (ARTEwalk) circumvents such constraints by adjusting for individual-specific walking economy. Herein, we compared AEE, PAL, and ARTEwalk index in a cohort (n = 81) of postmenopausal women while examining possible associations with biomarkers of cardiometabolic health. Secondary analyses were performed on postmenopausal women dichotomized above/below age group 50th percentile for body fat percent. TEE was reduced by 10% for the thermogenesis of digestion wherein AEE was calculated by subtracting REE from adjusted TEE. PAL was calculated as the ratio of TEE/REE. AEE was divided by the mean net energy expenditure of nongraded walking to calculate the ARTEwalk index. Between-group differences were not detected for AEE or PAL. However, the ARTEwalk index revealed that participants with less adiposity were more physically active (258 ± 149 vs. 198 ± 115 min·day−1; P = 0.046; g = 0.46). AEE and PAL did not correlate with cardiorespiratory fitness or biomarkers of cardiometabolic health. Cardiorespiratory fitness (r = 0.32), arterial elasticity (r = 0.24), total cholesterol/HDL-c ratio (r = −0.22), and body fat% (r = −0.24) were correlated with ARTEwalk. The ARTEwalk index may offer utility in detecting possible differences in physical activity volume among postmenopausal women and appears better associated with cardiometabolic biomarkers compared with AEE or PAL.Item Circumstances and consequences of falls among people with chronic stroke(2013) Schmid, Arlene A.; Yaggi, H. Klar; Burrus, Nicholas; McClain, Vincent; Austin, Charles; Ferguson, Jared; Fragoso, Carlos; Sico, Jason J.; Miech, Edward J.; Matthias, Marianne S.; Williams, Linda S.; Bravata, Dawn M.Falls are common after stroke; however, circumstances and consequences are relatively unknown. Our objectives were to identify the differences between fallers and non-fallers among people with chronic stroke, identify the circumstances of fall events, and examine the consequences of the falls. This is a secondary data analysis; all participants included sustained a stroke. Variables included demographics, stroke characteristics, and comorbidities. Falls were collected via self-report, and circumstances and consequences were derived from participant description of the event and categorized as appropriate. Among 160 participants, 53 (33%) reported a fall during the 1 yr period. Circumstances of falls were categorized as intrinsic or extrinsic. Location and circumstance of the fall were included: 70% occurred at home and 40% were associated with impaired physical or mental state (e.g., inattention to tying shoes). Additionally, 21% of falls were associated with activities of daily living and mobility and 34% with slips or trips. The majority who fell sustained an injury (72%). Injuries ranged from bruising to fractures, and 55% of those with an injury sought medical care (32% to emergency department). Poststroke falls are associated with an alarming rate of injury and healthcare utilization. Targeting mental and physical states may be key to fall prevention.Item Fundamentals of ion mobility in the free molecular regime. Interlacing the past, present and future of ion mobility calculations(Taylor & Francis, 2020) Larriba-Andaluz, Carlos; Prell, James S.; Mechanical and Energy Engineering, School of Engineering and TechnologyWhile existing ion mobility calculators are capable of feats as impressive as calculating collision cross sections (CCS) within a few per cent and within a very reasonable time, the simplifications assumed in their estimations precludes them from being more precise, potentially overreaching with respect to the interpretation of existing calculations. With ion mobility instrumentation progressively reaching resolutions of several hundreds to thousands (accuracy in the range of ∼0.1%), a more accurate theoretical description of gas-phase ion mobility becomes necessary to correctly interpret experimental state-of-the-art separations. This manuscript entails an effort to consolidate the most relevant theoretical work pertaining to ion mobility within the ‘free molecular’ regime, describing in detail the rationale for approximations up to the two-temperature theory, using both a momentum transfer approach as well as the solution to the moments of the Boltzmann equation for the ion. With knowledge of the existing deficiencies in the numerical methods, the manuscript provides a series of necessary additions in order to better simulate some of the separations observed experimentally due to second-order effects, namely, high field effects, dipole alignment, angular velocities and moments of inertia, potential interactions and inelastic collisions among others.Item Implementing a Mandated Program Across a Regional Health Care System: A Rapid Qualitative Assessment to Evaluate Early Implementation Strategies(Wolters Kluwer, 2019-09-01) Sperber, Nina R.; Bruening, Rebecca A.; Choate, Ashley; Mahanna, Elizabeth; Wang, Virginia; Powell, Byron J.; Damush, Teresa; Jackson, George L.; Van Houtven, Courtney H.; Allen, Kelli D.; Hastings, Susan N.; Medicine, School of MedicineRapid qualitative assessement was used to describe early strategies to implement an evidence-based walking program for hospitalized older adults, assiSTed eaRly mobIlity for hospitalizeD older vEterans (STRIDE), mandated by a regional Veterans Affairs health care system office (VISN). Data were collected from 6 hospital sites via semi-structured interviews with key informants, observations of telephone-based technical assistance (TA), and review of VISN-requested program documents (e.g., initial implementation plans). An overaching framework of actionable feedback for VISN leadership and specification of locally initiated implementation strategies, using the Expert Recommendations for Implementing Change (ERIC) compilation, was used. Actionable feedback was shared with VISN leadership one month after the initiative. ERIC implementation strategies identified were: 1) Promoting Adaptability- Four sites had physical therapists (PT)/ kinesiotherapists (KT) instead of assistants walk patients, 2) Promoting Network Weaving- Strengthening nursing and PT/ KT partnership with regular communication opportunities or a point person was important for implementation, 3) Distributing Educational Materials – Two sites distributed information about STRIDE via email and in-person, and 4) Organizing Clinician Implementation Team Meetings – Three sites used interdisciplinary team meetings to communicate with clinical staff about STRIDE. This qualitative study sheds light on early experiences with implementing STRIDE; the results have been instructive for ongoing implementation and future dissemination of STRIDE, and the approach can be applied across contexts to inform implementation of other programs.Item A parallelized tool to calculate the electrical mobility of charged aerosol nanoparticles and ions in the gas phase(Elsevier, 2020-09) Coots, Joshua; Gandhi, Viraj; Onakoya, Tunde; Chen, Xi; Larriba-Andaluz, Carlos; Mechanical and Energy Engineering, School of Engineering and TechnologyElectrical Mobility is a transport property that describes a particle behavior in the gas phase. When dealing with the free molecular regime, ascertaining the shape of a nanoparticle or an ion directly from measurements of mobility becomes quite difficult as the particle no longer can be assumed to have spherical shape. Here we propose an efficient parallelized tool, IMoS, that makes use of all-atom models to calculate the mobility of nanoparticles in a variety of gases. The program allows for different types of calculations that range from the efficient Projection Approximation (PA) algorithm to the 4-6-12 Lennard-Jones potential Trajectory Method. It also includes a diffuse inelastic simulation that achieves Millikan's predicted 1.36 value over PA. When compared to experimental results, the error of the most efficient calculations is shown to be approximately 2–4% on average.Item Prevalence, predictors, and outcomes of poststroke falls in acute hospital setting(2010) Schmid, Arlene A.; Wells, Carolyn K; Concato, John; Dallas, Mary I; Lo, Albert C.; Nadeau, Steven E; Williams, Linda S.; Peixoto, Aldo J; Gorman, Mark; Boice, John L.; Struve, Frederick; McClain, Vincent; Bravata, Dawn M.Abstract—Falls are a serious medical complication following stroke. The objectives of this study were to (1) confirm the prevalence of falls among patients with stroke during acute hospitalization, (2) identify factors associated with falls during the acute stay, and (3) examine whether in-hospital falls were associated with loss of function after stroke (new dependence at discharge). We completed a secondary analysis of data from a retrospective cohort study of patients with ischemic stroke who were hospitalized at one of four hospitals. We used logistic regression to identify factors associated with inpatient falls and examine the association between falls and loss of function. Among 1,269 patients with stroke, 65 (5%) fell during the acute hospitalization period. We found two characteristics independently associated with falls: greater stroke severity (National Institutes of Health Stroke Scale [NIHSS] 8, adjusted odds ratio [OR] = 3.63, 95% confidence interval [CI]: 1.46–9.00) and history of anxiety (adjusted OR = 4.90, 95% CI: 1.70–13.90). Falls were independently associated with a loss of function (adjusted OR = 9.85, 95% CI: 1.22–79.75) even after adjusting for age, stroke severity, gait abnormalities, and past stroke. Stroke severity (NIHSS 8) may be clinically useful during the acute inpatient setting in identifying those at greatest risk of falling. Given the association between falls and poor patient outcomes, rehabilitation interventions should be implemented to prevent falls poststroke.