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Rosanna Gilderthorp, Jan Burns and Fergal Jones

severity of impairment that athletes may present with. However, to develop a more stratified approach, similar to other impairment groups, research must be undertaken, upon which a more sensitive classification system could be based. It is the purpose of this paper to explore how such a system could be

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Anna Pulakka, Eric J. Shiroma, Tamara B. Harris, Jaana Pentti, Jussi Vahtera and Sari Stenholm

studies have examined the effects of sleep and non-wear algorithms on the classification of sleep, non-wear, and sedentary time based on wrist measurement ( Migueles et al., 2017 ; Schrack et al., 2016 ). To address these gaps in the literature, we used accelerometers worn on wrist for 24 hours/day to

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Joshua Twaites, Richard Everson, Joss Langford and Melvyn Hillsdon

focusing on the raw data are becoming more commonplace. As acceleration is only a surrogate of the true PA performed, methods for converting the data into behavioral metrics are required. A technique of growing popularity is activity classification via machine learning, which creates a model, based on some

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Jeremy A. Steeves, Catrine Tudor-Locke, Rachel A. Murphy, George A. King, Eugene C. Fitzhugh, David R. Bassett, Dane Van Domelen, John M. Schuna Jr and Tamara B. Harris

classification of occupations, and, for the first time, began collecting steps per day and peak 30-minute cadence (the average steps per minute recorded for the 30 highest minutes in a day) from accelerometer data. 17 Therefore, the primary purpose of this study is to describe the objectively measured daily PA

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Elroy J. Aguiar, Zachary R. Gould, Scott W. Ducharme, Chris C. Moore, Aston K. McCullough and Catrine Tudor-Locke

overground walking. In addition, these 3 studies all constrained cadence or speed in some fashion (eg, using rhythmic auditory cuing or timing). To our knowledge, no studies have examined the classification accuracy of ≥100 steps/min to predict minimally moderate intensity (≥3 METs) during overground walking

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Packianathan Chelladurai and Harold A. Riemer

Although several authors have emphasized the need to treat the athlete as the prime beneficiary of intercollegiate athletics, there has been little effort to assess athlete reactions to their experiences. This paper stresses the uniqueness of athletic teams, develops a rationale for measuring athlete satisfaction, and emphasizes that athlete satisfaction can be used as a measure of organizational effectiveness. A classification of the various facets of satisfaction in athletics is presented. A facet is classified by the following criteria: whether it (a) is task- or social-related, (b) is an outcome or a process, and (c) affects the individual or the team. The extent to which the identified facets of satisfaction are exhaustive, exclusive, and internally homogeneous is discussed.

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Raquel Aparicio-Ugarriza, Raquel Pedrero-Chamizo, María del Mar Bibiloni, Gonzalo Palacios, Antoni Sureda, Agustín Meléndez-Ortega, Josep Antoni Tur Marí and Marcela González-Gross

. 19 These different terminologies and measurement types do not facilitate a standardized classification. Specifically in older adults, several have shown that the amount of PA performed is not the most accurate method for defining the physical condition of older people and, accordingly, their ability

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Frank L. Gardner and Zella E. Moore

In response to the absence of a taxononomical system for the structured assessment, conceptualization, and intervention of athlete-clients, the MCS-SP is a model for the comprehensive evaluation of athlete-clients’ needs, strategies for in-depth case conceptualization, and systematic formulation of the most appropriate type and level of professional service required. This classification system is based on the primary issues, needs, and life circumstances of the athlete-client and the suggested assessment and intervention foci combine the environmental, interpersonal, intrapersonal, behavioral, and performance history/demands that impact athletic clientele. Categories within the taxonomy include Performance Development, Performance Dysfunction, Performance Impairment, and Performance Termination, each of which include two subtypes that further guide the appropriate, ethical, and effective provision of services.

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Duane Knudson

Classification of Instructional Programs (CIP) codes were designed to report outcomes in higher education by specific disciplines and professions, however, universities, states, and accreditation bodies also use these codes in other ways. This paper describes CIP-2010 usage in higher education and how these codes are used in funding public universities in Texas, and summarizes the American Kinesiology Association/National Academy of Kinesiology recommendations to the National Center for Education Statistics on updating kinesiology-related CIP codes. Kinesiology leaders should be knowledgeable about how CIP codes are often used behind the scenes in a variety of ways that affect our faculty, programs, and the field. Greater use of the term kinesiology in many future CIP codes would benefit the field and individual departments seeking alignment with institutional priorities.

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Rachel Arnold and David Fletcher

The purpose of this study was to synthesize the research that has identified the organizational stressors encountered by sport performers and develop a taxonomic classification of these environmental demands. This study used a meta-interpretation, which is an interpretive form of synthesis that is suited to topic areas employing primarily qualitative methods. Thirty-four studies (with a combined sample of 1809 participants) were analyzed using concurrent thematic and context analysis. The organizational stressors that emerged from the analysis numbered 1287, of which 640 were distinct stressors. The demands were abstracted into 31 subcategories, which were subsequently organized to form four categories: leadership and personnel, cultural and team, logistical and environmental, and performance and personal issues. This meta-interpretation with taxonomy provides the most accurate, comprehensive, and parsimonious classification of organizational stressors to date. The findings are valid, generalizable, and applicable to a large number of sport performers of various ages, genders, nationalities, sports, and standards.