The Effects of Massage Therapy on Multiple Sclerosis

Background: Multiple Sclerosis (MS) is characterized by degeneration of the myelin sheath of an axon resulting in decreased transmission of nerve impulses. It is an autoimmune disease with periods of exacerbation and remission. Types of MS include relapsing-remitting, acute progressive, chronic progressive attack-remitting, and benign. Common symptoms include fatigue, spasticity, swelling, and altered gait. MS is commonly treated with medications that help relieve symptoms and prolong disease progression. Objective: To examine the effects of MT on mobility, fatigue, and edema in a patient with MS. Methods: A massage therapy (MT) student from MacEwan University’s 2,200-hour Massage Therapy program administered five MT treatments over a six-week period to a 58-year-old female diagnosed with MS 11 years earlier. She presented with symptoms of decreased mobility, fatigue, and left ankle edema. Assessment included active and passive range of motion (ROM), myotomes, dermatomes, reflexes, and orthopedic tests. Goals for treatment sessions were to increase mobility, decrease fatigue, and decrease edema. Assessment measures included the Timed-Up-and-Go (TUG) test for mobility, the Modified Fatigue Impact Scale (MFIS) to measure fatigue, and Figure-8 ankle measurement to measure edema. Techniques used included Swedish massage, passive ROM, manual lymphatic drainage (MLD) and homecare exercises. Results: Little change was noted in mobility. The patient’s fatigue level and left ankle edema decreased. Conclusion: The results suggest that MT is effective in reducing fatigue and edema in a patient with MS. Future studies are needed to evaluate the correlation between mobility and massage. Presented in absentia on April 27, 2020 at "Student Research Day" at MacEwan University in Edmonton, Alberta. (Conference cancelled) Faculty Mentor:  Jeff Moggach Department: Massage Therapy&nbsp

Using latent class cluster analysis to identify and profile organizational subclimates: An exploratory investigation using safety climate as an exemplar

Organizational climate refers to the shared meaning organizational members attach to the events, policies, practices, and procedures they experience as well as to the behaviors they see being rewarded, supported, and expected (Schneider, Ehrhart, & Macey, 2011). Climate scholars have most frequently used referent-shift consensus and dispersion composition models (Chan, 1998) to conceptualize and measure organizational climate. Based on these models, climate emergence has been characterized by low variance or high consensus of individual-level climate perceptions (Chan, 1998; Ehrhart, Schneider, & Macey, 2013; Hazy & Ashley, 2011; Kuenzi & Schminke, 2009) within formally defined organizational groups (e.g., work teams). Climate scholars have begun to acknowledge these approaches may not offer adequate explanations for organizational-level perceptual variance patterns that could result from socially-derived influences such as demographic attribute similarity. Perceptual variance may instead be better explained by a patterned emergence compilation model (Fulmer & Ostroff, 2015), whereby nonuniform patterns of dispersion assume that skewness and/or multiple modes exist within the climate of an organization. Ostroff and Fulmer (2014) and Fulmer and Ostroff (2015) have proposed that configural measurement techniques such as latent class cluster analysis (LCCA; Nylund, Asparouhov, & Muthén, 2007) be used to identify subgroups of employees who perceive the organization similarly (i.e., subclimates). LCCA addresses the problems inherent in identifying subclimates via traditional composition models and measurement approaches, but has yet to be used for this purpose. To address this gap, this exploratory study examined whether an organization may be usefully classified into subclimates, based on similarity of response patterns across safety climate dimensions. Subclimates were conceptualized as latent, unobserved groups characterized by systematic response patterns that exhibit within-group agreement and between-group differentiation, using LCCA to reveal five latent groups. Each distinct subclimate was subsequently examined for meaningful differences between them on profile characteristics and demographic attributes

Online Interactive Pedagogical Tools for the Principles of Microeconomics Curriculum

We discuss over one hundred interactive learning tools that we created and piloted in introductory open-education (OER) microeconomics classes. These interactive tools cover a wide range of microeconomics topics. They are highly randomized so that the presented scenario and correct answers are different on each usage of a tool, which not only provides students with unlimited practice attempts, but also significantly reduces the possibility of cheating by sharing answers. These tools can be uploaded into most learning management systems, and scores are automatically recorded. Student feedback is positive. The tools are available to others at no monetary cost at http://econreimagined.gsu.edu

Determining the effects of cattle grazing treatments on Yosemite toads (Anaxyrus [=Bufo] canorus) in montane meadows.

Amphibians are experiencing a precipitous global decline, and population stability on public lands with multiple uses is a key concern for managers. In the Sierra Nevada Mountains (California, USA), managers have specifically identified livestock grazing as an activity that may negatively affect Yosemite toads due to the potential overlap of grazing with toad habitat. Grazing exclusion from Yosemite toad breeding and rearing areas and/or entire meadows have been proposed as possible management actions to alleviate the possible impact of cattle on this species. The primary objective of this study was to determine if different fencing treatments affect Yosemite toad populations. We specifically examined the effect of three fencing treatments on Yosemite toad breeding pool occupancy, tadpoles, and young of the year (YOY). Our hypothesis was that over the course of treatment implementation (2006 through 2010), Yosemite toad breeding pool occupancy and early life stage densities would increase within two fencing treatments relative to actively grazed meadows due to beneficial changes to habitat quality in the absence of grazing. Our results did not support our hypothesis, and showed no benefit to Yosemite toad presence or early life stages in fenced or partially fenced meadows compared to standard USDA Forest Service grazing levels. We found substantial Yosemite toad variation by both meadow and year. This variation was influenced by meadow wetness, with water table depth significant in both the tadpole and YOY models

Linked symptom monitoring and depression treatment programmes for specialist cancer services: protocol for a mixed-methods implementation study.

INTRODUCTION: There is growing awareness that cancer services need to address patients' well-being as well as treating their cancer. We developed systematic approaches to (1) monitoring patients' symptoms including depression using a 'Symptom Monitoring Service' and (2) providing treatment for those with major depression using a programme called 'Depression Care for People with Cancer'. Used together, these two programmes were found to be highly effective and cost-effective in clinical trials. The overall aims of this project are to: (1) study the process of introducing these programmes into routine clinical care in a large cancer service, (2) identify the challenges associated with implementation and how these are overcome, (3) determine their effectiveness in a routine non-research setting and (4) describe patients' and clinicians' experience of the programmes. METHODS AND ANALYSIS: This is a mixed-methods longitudinal implementation study. We will study the process of implementation in three phases (April 2016-December 2018): 'Pre-implementation' (setting up of the new programmes), 'Early Implementation' (implementation of the programmes in a small number of clinics) and 'Implementation and Maintenance' (implementation in the majority of clinics). We will use the following methods of data collection: (1) contemporaneous logs of the implementation process, (2) interviews with healthcare professionals and managers, (3) interviews with patients and (4) routinely collected clinical data. ETHICS AND DISSEMINATION: The study has been reviewed by a joint committee of Oxford University Hospitals National Health Service Foundation Trust Research and Development Department and the University of Oxford's Clinical Trials and Research Governance Department and judged to be service evaluation, not requiring ethics committee approval. The findings of this study will guide the scaling up implementation of the programmes across the UK and will enable us to construct an implementation toolkit. We will disseminate our findings in publications and at relevant national and international conferences

Non-adjacent dependency learning in infancy, and its link to language development.

To acquire language, infants must learn how to identify words and linguistic structure in speech. Statistical learning has been suggested to assist both of these tasks. However, infants’ capacity to use statistics to discover words and structure together remains unclear. Further, it is not yet known how infants' statistical learning ability relates to their language development. We trained 17-month-old infants on an artificial language comprising non- adjacent dependencies, and examined their looking times on tasks assessing sensitivity to words and structure using an eye-tracked head-turn-preference paradigm. We measured infants’ vocabulary size using a Communicative Development Inventory (CDI) concurrently and at 19, 21, 24, 25, 27, and 30 months to relate performance to language development. Infants could segment the words from speech, demonstrated by a significant difference in looking times to words versus part-words. Infants’ segmentation performance was significantly related to their vocabulary size (receptive and expressive) both currently, and over time (receptive until 24 months, expressive until 30 months), but was not related to the rate of vocabulary growth. The data also suggest infants may have developed sensitivity to generalised structure, indicating similar statistical learning mechanisms may contribute to the discovery of words and structure in speech, but this was not related to vocabulary size

Perfectionism and exam performance: The mediating effect of task-approach goals

Perfectionistic strivings are positively correlated with students’ achievement goals and exam performance. However, so far no study has employed a prospective design investigating whether achievement goals mediate the positive relationship between perfectionistic strivings and exam performance. In the present study, 100 university students completed a measure of self-oriented perfectionism and socially prescribed perfectionism (Hewitt & Flett, 1991) and received a chapter from a textbook to study for 2-4 days. Then they returned to the lab to complete a measure of achievement goals following the 3 x 2 model (Elliot, Murayama, & Pekrun, 2011) and sit a mock exam testing their knowledge of the chapter. Multiple regressions showed that socially prescribed perfectionism negatively predicted exam performance when the overlap with self-oriented perfectionism was controlled for. In contrast, self-oriented perfectionism—a defining indicator of perfectionistic strivings—positively predicted exam performance. Moreover, task-approach goals mediated the positive relationship between self-oriented perfectionism and exam performance. The findings suggest that perfectionistic strivings make students adopt task-approach goals that help them achieve better results on exams

The Species Effect:Differential Sphingosine-1-Phosphate Responses in the Bone in Human Versus Mouse

he deterioration of osteoblast-led bone formation and the upregulation of osteoclast-regulated bone resorption are the primary causes of bone diseases, including osteoporosis. Numerous circulating factors play a role in bone homeostasis by regulating osteoblast and osteoclast activity, including the sphingolipid—sphingosine-1-phosphate (S1P). However, to date no comprehensive studies have investigated the impact of S1P activity on human and murine osteoblasts and osteoclasts. We observed species-specific responses to S1P in both osteoblasts and osteoclasts, where S1P stimulated human osteoblast mineralisation and reduced human pre-osteoclast differentiation and mineral resorption, thereby favouring bone formation. The opposite was true for murine osteoblasts and osteoclasts, resulting in more mineral resorption and less mineral deposition. Species-specific differences in osteoblast responses to S1P were potentially explained by differential expression of S1P receptor 1. By contrast, human and murine osteoclasts expressed comparable levels of S1P receptors but showed differential expression patterns of the two sphingosine kinase enzymes responsible for S1P production. Ultimately, we reveal that murine models may not accurately represent how human bone cells will respond to S1P, and thus are not a suitable model for exploring S1P physiology or potential therapeutic agents

Power and sample-size calculations for trials that compare slopes over time: Introducing the slopepower command.

Trials of interventions that aim to slow disease progression may analyze a continuous outcome by comparing its change over time—its slope—between the treated and the untreated group using a linear mixed model. To perform a sample-size calculation for such a trial, one must have estimates of the parameters that govern the between- and within-subject variability in the outcome, which are often unknown. The algebra needed for the sample-size calculation can also be complex for such trial designs. We have written a new user-friendly command, slopepower, that performs sample-size or power calculations for trials that compare slope outcomes. The package is based on linear mixed-model methodology, described for this setting by Frost, Kenward, and Fox (2008, Statistics in Medicine 27: 3717–3731). In the first stage of this approach, slopepower obtains estimates of mean slopes together with variances and covariances from a linear mixed model fit to previously collected user-supplied data. In the second stage, these estimates are combined with user input about the target effectiveness of the treatment and design of the future trial to give an estimate of either a sample size or a statistical power. In this article, we present the slopepower command, briefly explain the methodology behind it, and demonstrate how it can be used to help plan a trial and compare the sample sizes needed for different trial designs