Free Access
Mov Sport Sci/Sci Mot
Number 119, 2023
Page(s) 1 - 8
Published online 12 October 2022
  • Batterham, A. & Hopkins, W. (2006). Making meaningful inferences about magnitudes. International Journal of Sports Physiology and Performance, 1(1), 50–57. [CrossRef] [PubMed] [Google Scholar]
  • Bice, M.R., Ball, J.W., & McClaran, S. (2016). Technology and physical activity motivation. International Journal of Sport and Exercise Psycholology, 14(4), 295–304. [CrossRef] [Google Scholar]
  • Bock, C., Jarczok, M.N., & Litaker, D. (2014). Community-based efforts to promote physical activity: A systematic review of interventions considering mode of delivery, study quality and populations subgroups. Journal of Science and Medicine in Sport, 17(3), 276–282. [Google Scholar]
  • Bravata, D.M., Smith-Spangler, C., Sundaram, V., Gienger, A.L., Lin, N., Lewis, R., Stave, C.D., Ingram Olkin, I., & Sirard, J.R. (2007). Using pedometers to increase physical activity and improve health: A systematic review. JAMA, 298(19), 2296–2304. [CrossRef] [PubMed] [Google Scholar]
  • Butterworth, S., Linden, A., McClay, W., & Leo, M.C. (2006). Effect of motivational interviewing-based health coaching on employees’ physical and mental health status. Journal of Occupational Health Psychology, 11(4), 358–365. [Google Scholar]
  • Christensen, M., & Shaheen, S.A. (2014). Is the future of urban mobility multi-modal and digitized transportation access? In Cities on the Move. Geneva: New Cities Foundation. [Google Scholar]
  • Conn, V.S., Hafdahl, A.R., & Mehr, D.R. (2011). Interventions to Increase Physical Activity Among Healthy Adults: Meta-Analysis of Outcomes. American Journal of Public Health, 101(4), 751–758. [CrossRef] [PubMed] [Google Scholar]
  • Cranney L., Phongsavan P., Kariuki M., Stride, V., Scott, A., Hua, M., & Bauman, A. (2016). Impact of an outdoor gym on park users’ physical activity: a natural experiment. Health Place, 37, 26–34. [CrossRef] [PubMed] [Google Scholar]
  • Del Campo Vega C., Tutte V., Bermudez, G., & Parra, D.C. (2017). Impact on area-level physical activity following the implementation of a fitness zone in Montevideo, Uruguay. Journal of Physical Activity and Health , 14(11), 883–887. [Google Scholar]
  • Dorsey, E.R., & Topol, E.J. (2016). State of Telehealth. New England Journal of Medicine, 375, 154–161. [Google Scholar]
  • Fortier, M.S., Duda, J.L., Guerin, E., & Teixeira, P. (2012). Promoting physical activity: development and testing of self-determination theory-based interventions. International Journal of Behavioral Nutrition and Physical Activity, 9(20), 9e20. [CrossRef] [Google Scholar]
  • Goldberg, D.P., Gater, R., Sartorius, N., Ustun, T.B., Piccinelli, M., Gureje, O., & Rutter, C. (1997). The validity of two versions of the GHQ in the WHO study of mental illness in general health care. Psychological Medicine, 2(1), 191–197. [Google Scholar]
  • Hardcastle, S.J., Taylor, A.H., Bailey, M.P., Harley, R.S., & Hagger, M.S. (2013). Effectiveness of a motivational interviewing intervention on weight loss, physical activity and cardiovascular disease risk factors: a randomized controlled trail with a 12-month post-intervention follow-up. International Journal of Behavioral Nutrition and Physical Activity, 10(40), e40. [CrossRef] [Google Scholar]
  • Hardcastle, S.J., Fortier, M., Blake, N., & Hagger, M.S. (2017). Identifying content-based and relational techniques to change behaviour in motivational interviewing. Health Psychology Review, 11(1), 1–16. [Google Scholar]
  • Hopkins, W.G., & Batterham, A.M. (2016). Error rates, decisive outcomes and publication bias with several inferential methods. Sports Medicine, 46, 1563–1573. [Google Scholar]
  • Hopkins, W.G. (2017). Estimating sample size for magnitude-based inferences. Sportscience, 21, 63–72. [Google Scholar]
  • Hopkins, W.G. (2003). A spreadsheet for analysis of straightforward controlled trials [Online], Sport Science, Accessed 20 July 2016. [Google Scholar]
  • Johnson, U., Ivarsson, A., Parker, J., Andersen, M.B., & Svetoft, I. (2019). Connecting in the fresh air: A study on the benefits of participation in an electronic tracking outdoor gym exercise programme, Montenegrian Journal of Sports Science Medicine, 8, 61–67. [Google Scholar]
  • Kozey-Keadle, S., Staudenmayer, J., Libertine, A., Mavilia, M., Lyden, K., Braun, B., & Freedson, P. (2014). Changes in sedentary time and physical activity in response to a exercise training and/or lifestyle intervention. Journal of Physical Activity and Health, 1(7), 1324–1333. [Google Scholar]
  • Lundahl, B.W., Kunz, C. Brownell, C., Tollefson, D., & Burke, B.L. (2010). A Meta-Analysis of Motivational Interviewing: Twenty-Five Years of Empirical Studies Research on Social Work Practice, Research on Social Work Practice, 20(2), 137–160. [Google Scholar]
  • Markland, D., & Tobin, V. (2004). A modification to the Behavioral Regulation in Exercise Questionnaire to include an assessment of amotivation. Journal of Sport and Exercise Psychology, 26(2), 191–196. [Google Scholar]
  • Ryan, R.M., & Deci, E.L. (2002). Handbook of self-determination research. New York, USA: The University of Rochester Press. [Google Scholar]
  • Shane, A., Lowe, S.H., & Ólaighin, G. (2014). Monitoring human health behaviour in one’s living environment: A technological review. Medical Engineering & Physics, 36(2), 147–168. [Google Scholar]
  • Silva, M.N., Markland, M., Minderico, C.S., Vieira, P.N., Castro, M.M., Coutinho, S.R., Santos, T.C., Matos, M.G., Sardinha, L.B., & Teixeira, P.J. (2008). A randomized controlled trial to evaluate self-determination theory for exercise adherence and weight control: rationale and intervention description. BMC Public Health, 8(234), 1–13. [CrossRef] [PubMed] [Google Scholar]
  • Warburton, D.E.R., Nicol, C.W., & Bredin, S.S.D. (2004). Health benefits of physical activity: the evidence. CMAJ, 2(174), 801–809. [Google Scholar]
  • Williams, G.C., Niemiec, C.P, Patrick, H., Ryan, R.M., & Deci, E.L. (2009). The importance of supporting autonomy and perceived competence in facilitating long-term tobacco abstinence. Annual Behavioral Medicine, 37(3), 315–324. [CrossRef] [PubMed] [Google Scholar]

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