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      The CRAVE and ARGE scales for motivation states for physical activity and sedentarism: Brazilian Portuguese translation and single-item versions

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          Abstract

          Motivation states for physical activity and sedentarism potentially vary from moment to moment. The CRAVE scale (Cravings for Rest and Volitional Energy Expenditure) was developed to assess transient wants and desires to move. Three studies were conducted with the aims of: (1) translating and validating the scale in Brazilian Portuguese, (2) examining changes with exercise, and (3) determining the best single-item for Move and Rest subscales for English and Portuguese. In Study 1, six bilingual speakers translated the scale into Brazilian Portuguese [named Anseios por Repouso e Gastos com Energia (ARGE)]. The ARGE had good content validity coefficients across three dimensions (0.89–0.91), as determined by three independent, bilingual referees. 1,168 participants (mean age = 30.6, SD = 12.2) from across Brazil completed an online version of the ARGE. An Exploratory Factor Analysis found two clear, oblique, and inversely related factors (Move and Rest; GFI = 1.00, RMSR = 0.03). Reliability was good (Cronbach α’s: 0.93 and 0.92). Two models of the scale (10 vs. 13 items) were compared with Confirmatory Factor Analysis. The previously validated version using 10 scored items (GFI = 1.00, RMSEA = 0.07, RMSR = 0.02) outperformed the version scored with 13 items. State anxiety and exercise behavior had small associations with Move and Rest (−0.20 to 0.26). In Study 2, ARGE Move scores had high correspondence post-session (ICC = 0.83) for 9 women performing short Sprint Interval Training (sSIT; 6 sessions). Large, but non-significant, effects were detected for changes in motivation states with sSIT. In Study 3, IRT analyses found that for the United States sample, “be physically active” and “be still” were the most representative items for Move and Rest, respectively, while for the Brazil sample they were “exert my muscles” and “be a couch potato.” Overall, it was found that: (A) the ARGE scale demonstrated good psychometric properties, (B) the original scoring (with 10 items) resulted in the best model, (C) it had small associations with exercise behavior, and (D) the subscales were reduced to single items that varied by country, indicating potential cultural differences in the concept of motivation states for physical activity.

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          A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

          Intraclass correlation coefficient (ICC) is a widely used reliability index in test-retest, intrarater, and interrater reliability analyses. This article introduces the basic concept of ICC in the content of reliability analysis.
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            The behaviour change wheel: A new method for characterising and designing behaviour change interventions

            Background Improving the design and implementation of evidence-based practice depends on successful behaviour change interventions. This requires an appropriate method for characterising interventions and linking them to an analysis of the targeted behaviour. There exists a plethora of frameworks of behaviour change interventions, but it is not clear how well they serve this purpose. This paper evaluates these frameworks, and develops and evaluates a new framework aimed at overcoming their limitations. Methods A systematic search of electronic databases and consultation with behaviour change experts were used to identify frameworks of behaviour change interventions. These were evaluated according to three criteria: comprehensiveness, coherence, and a clear link to an overarching model of behaviour. A new framework was developed to meet these criteria. The reliability with which it could be applied was examined in two domains of behaviour change: tobacco control and obesity. Results Nineteen frameworks were identified covering nine intervention functions and seven policy categories that could enable those interventions. None of the frameworks reviewed covered the full range of intervention functions or policies, and only a minority met the criteria of coherence or linkage to a model of behaviour. At the centre of a proposed new framework is a 'behaviour system' involving three essential conditions: capability, opportunity, and motivation (what we term the 'COM-B system'). This forms the hub of a 'behaviour change wheel' (BCW) around which are positioned the nine intervention functions aimed at addressing deficits in one or more of these conditions; around this are placed seven categories of policy that could enable those interventions to occur. The BCW was used reliably to characterise interventions within the English Department of Health's 2010 tobacco control strategy and the National Institute of Health and Clinical Excellence's guidance on reducing obesity. Conclusions Interventions and policies to change behaviour can be usefully characterised by means of a BCW comprising: a 'behaviour system' at the hub, encircled by intervention functions and then by policy categories. Research is needed to establish how far the BCW can lead to more efficient design of effective interventions.
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              Guidelines for the Process of Cross-Cultural Adaptation of Self-Report Measures

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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                29 August 2023
                2023
                : 14
                : 1106571
                Affiliations
                [1] 1Department of Cognition and Human Development, Rio de Janeiro State University , Rio de Janeiro, Brazil
                [2] 2School of Natural, Social and Sport Sciences, University of Gloucestershire , Cheltenham, United Kingdom
                [3] 3Center for Weight Management, Yale New Haven Hospital , North Haven, CT, United States
                [4] 4Department of Biobehavioral Sciences, Teachers College—Columbia University , New York, NY, United States
                [5] 5Faculty of Physical Activity and Sports Sciences, Universidad de León , León, Spain
                [6] 6College of Healthcare Sciences, James Cook University , Townsville, QLD, Australia
                [7] 7Yale Stress Center, Yale School of Medicine , New Haven, CT, United States
                [8] 8Department of Kinesiology and Health Education, The University of Texas at Austin , Austin, TX, United States
                [9] 9Center for Cognitive Neuroscience, Duke University , Durham, NC, United States
                [10] 10Department of Kinesiology and Physical Education, Northern Illinois University , DeKalb, IL, United States
                [11] 11Faculty of Health, University of Canberra , Canberra, ACT, Australia
                [12] 12Section of Digestive Diseases, Yale University School of Medicine , New Haven, CT, United States
                [13] 13Connecticut Community Colleges Nursing Program, Gateway Community College , New Haven, CT, United States
                [14] 14Middle School Center (CEF) 504, Federal District Secretary of Education (SEEDF) , Brasilia, Brazil
                [15] 15Integrated Institute of Health, Federal University of Mato Grosso do Sul , Campo Grande, MS, Brazil
                [16] 16Section of General Internal Medicine, Yale School of Medicine , New Haven, CT, United States
                [17] 17Center for Pain, Research, Informatics, Medical Comorbidities and Education Center (PRIME), VA Connecticut Healthcare System , West Haven, CT, United States
                Author notes

                Edited by: Mauro Virgilio Gomes Barros, Universidade de Pernambuco, Brazil

                Reviewed by: Derek Hevel, Boston University, United States; Ferdinando Carvalho, Universidade Federal do Vale do São Francisco, Brazil; David M. Williams, Brown University, United States; Lucas Murrins Marques, University of São Paulo, Brazil; Rodrigo Antunes Lima, Parc Sanitari Sant Joan de Déu, Spain

                *Correspondence: Matthew A. Stults-Kolehmainen, matthew_stults@ 123456yahoo.com

                These authors have contributed equally to this work and share first authorship

                Article
                10.3389/fpsyg.2023.1106571
                10495583
                37705947
                007c4ba9-946b-4285-93dc-778e8f02f578
                Copyright © 2023 Filgueiras, Stults-Kolehmainen, Boullosa, Sinha, Bartholomew, McKee, Gilson, Keegan, Viana, Bueno, Medeiros, Militão-de-Leutério and Ash.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 23 November 2022
                : 03 August 2023
                Page count
                Figures: 4, Tables: 5, Equations: 0, References: 102, Pages: 19, Words: 15296
                Categories
                Psychology
                Original Research
                Custom metadata
                Sport Psychology

                Clinical Psychology & Psychiatry
                affectively charged motivation states,motivation,physical activity,exercise,sedentary behavior,psychometrics,sprint interval training,depression

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