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Rehabilitation Research and Practice
Volume 2017, Article ID 6843016, 10 pages
https://doi.org/10.1155/2017/6843016
Research Article

Exergame Grading Scheme: Concept Development and Preliminary Psychometric Evaluations in Cancer Survivors

1College of Nursing, University of South Florida, Tampa, FL, USA
2School of Health and Rehabilitation Sciences, Indiana University, Indianapolis, IN, USA
3College of Education, University of South Florida, Tampa, FL, USA
4Moffitt Cancer Center, Tampa, FL, USA
5College of Public Health, University of South Florida, Tampa, FL, USA
6College of Medicine, University of South Florida, Tampa, FL, USA

Correspondence should be addressed to Hsiao-Lan Wang; ude.fsu.htlaeh@5gnawh

Received 17 April 2017; Accepted 10 August 2017; Published 2 October 2017

Academic Editor: Eric Kerckhofs

Copyright © 2017 Hsiao-Lan Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. N. Howlader, A. M. Noone, M. Krapcho et al., SEER cancer statistics review, http://seer.cancer.gov/csr/1975_2008/.
  2. Dictionary of Cancer Terms, http://www.cancer.gov/dictionary?CdrID=450125.
  3. C. L. Rock, C. Doyle, W. Demark-Wahnefried et al., “Nutrition and physical activity guidelines for cancer survivors,” CA Cancer Journal for Clinicians, vol. 62, no. 4, pp. 242–274, 2012. View at Publisher · View at Google Scholar · View at Scopus
  4. American College of Sport Medicine, ACSM's Resource Manual for Guidelines for Exercise Testing and Prescription, Lippincott Williams & Wilkins, Baltimore, Md, USA, 7th edition, 2012.
  5. J. E. Bower, K. Bak, A. Berger et al., “Screening, assessment, and management of fatigue in adult survivors of cancer: an American Society of Clinical Oncology clinical practice guideline adaptation,” Journal of Clinical Oncology, vol. 32, no. 17, pp. 1840–1850, 2014. View at Publisher · View at Google Scholar · View at Scopus
  6. A. M. Berger, K. Mooney, A. Alvarez-Perez et al., “NCCN practice guidelines in ocology: cancer-related fatigue,” National Comprehensive Cancer Network, 2015. View at Google Scholar
  7. T. W. Puetz and M. P. Herring, “Differential effects of exercise on cancer-related fatigue during and following treatment: a meta-analysis,” American Journal of Preventive Medicine, vol. 43, no. 2, pp. e1–e24, 2012. View at Publisher · View at Google Scholar · View at Scopus
  8. J. C. Brown, T. B. Huedo-Medina, L. S. Pescatello, S. M. Pescatello, R. A. Ferrer, and B. T. Johnson, “Efficacy of exercise interventions in modulating cancer-related fatigue among adult cancer survivors: a meta-analysis,” Cancer Epidemiology Biomarkers and Prevention, vol. 20, no. 1, pp. 123–133, 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. L. Q. Rogers, K. S. Courneya, K. T. Robbins et al., “Physical activity and quality of life in head and neck cancer survivors,” Supportive Care in Cancer, vol. 14, no. 10, pp. 1012–1019, 2006. View at Publisher · View at Google Scholar · View at Scopus
  10. E. E. Cohen, S. J. LaMonte, N. L. Erb et al., “American Cancer Society Head and Neck Cancer Survivorship Care Guideline,” CA: A Cancer Journal for Clinicians, vol. 66, no. 3, pp. 203–239, 2016. View at Publisher · View at Google Scholar
  11. C. M. Blanchard, M. M. Denniston, F. Baker et al., “Do adults change their lifestyle behaviors after a cancer diagnosis?” American Journal of Health Behavior, vol. 27, no. 3, pp. 246–256, 2003. View at Publisher · View at Google Scholar · View at Scopus
  12. F. A. D. S. Mendes, J. E. Pompeu, A. M. Lobo et al., “Motor learning, retention and transfer after virtual-reality-based training in Parkinson's disease - effect of motor and cognitive demands of games: A longitudinal, controlled clinical study,” Physiotherapy (United Kingdom), vol. 98, no. 3, pp. 217–223, 2012. View at Publisher · View at Google Scholar · View at Scopus
  13. K. E. Laver, S. George, S. Thomas, J. E. Deutsch, and M. Crotty, “Virtual reality for stroke rehabilitation.,” Cochrane database of systematic reviews (Online), vol. 9, p. CD008349, 2011. View at Google Scholar · View at Scopus
  14. L. Prosperini, D. Fortuna, C. Giannì, L. Leonardi, M. R. Marchetti, and C. Pozzilli, “Home-based balance training using the Wii balance board: a randomized, crossover pilot study in multiple sclerosis,” Neurorehabilitation and Neural Repair, vol. 27, no. 6, pp. 516–525, 2013. View at Publisher · View at Google Scholar · View at Scopus
  15. H. L. Hurkmans, R. J. Van Den Berg-Emons, and H. J. Stam, “Energy expenditure in adults with cerebral palsy playing Wii sports,” Archives of Physical Medicine and Rehabilitation, vol. 91, no. 10, pp. 1577–1581, 2010. View at Publisher · View at Google Scholar · View at Scopus
  16. J. Albores, C. Marolda, M. Haggerty, B. Gerstenhaber, and R. Zuwallack, “The use of a home exercise program based on a computer system in patients with chronic obstructive pulmonary disease,” Journal of Cardiopulmonary Rehabilitation and Prevention, vol. 33, no. 1, pp. 47–52, 2013. View at Publisher · View at Google Scholar · View at Scopus
  17. H. K. Yuen, K. Holthaus, D. L. Kamen, D. O. Sword, and H. L. Breland, “Using Wii Fit to reduce fatigue among African American women with systemic lupus erythematosus: A pilot study,” Lupus, vol. 20, no. 12, pp. 1293–1299, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. P. Jahn, N. Lakowa, M. Landenberger, D. Vordermark, and O. Stoll, “InterACTIV: An exploratory study of the use of a game console to promote physical activation of hospitalized adult patients with cancer,” Oncology Nursing Forum, vol. 39, no. 2, pp. E84–E90, 2012. View at Publisher · View at Google Scholar · View at Scopus
  19. A. J. Hoffman, R. A. Brintnall, J. K. Brown et al., “Virtual reality bringing a new reality to postthoracotomy lung cancer patients via a home-based exercise intervention targeting fatigue while undergoing adjuvant treatment,” Cancer Nursing, vol. 37, no. 1, pp. 23–33, 2014. View at Publisher · View at Google Scholar · View at Scopus
  20. A. J. Hoffman, R. A. Brintnall, B. A. Given, A. Von Eye, L. W. Jones, and J. K. Brown, “Using perceived self-efficacy to improve fatigue and fatigability in postsurgical lung cancer patients: A pilot randomized controlled trial,” Cancer Nursing, vol. 40, no. 1, pp. 1–12, 2017. View at Publisher · View at Google Scholar · View at Scopus
  21. K. K. Pettee Gabriel, J. R. Morrow Jr., and A.-L. T. Woolsey, “Framework for physical activity as a complex and multidimensional behavior,” Journal of physical activity & health, vol. 9, supplement 1, pp. S11–S18, 2012. View at Publisher · View at Google Scholar · View at Scopus
  22. Y.-Y. Chao, Y. K. Scherer, Y.-W. Wu, K. T. Lucke, and C. A. Montgomery, “The feasibility of an intervention combining self-efficacy theory and Wii Fit exergames in assisted living residents: a pilot study,” Geriatric Nursing, vol. 34, no. 5, pp. 377–382, 2013. View at Publisher · View at Google Scholar · View at Scopus
  23. C. Duclos, C. Miéville, D. Gagnon, and C. Leclerc, “Dynamic stability requirements during gait and standing exergames on the wii fit system in the elderly,” Journal of NeuroEngineering and Rehabilitation, vol. 9, no. 1, article 28, 2012. View at Publisher · View at Google Scholar · View at Scopus
  24. S. Whitehead and K. Lavelle, “Older breast cancer survivors' views and preferences for physical activity,” Qualitative Health Research, vol. 19, no. 7, pp. 894–906, 2009. View at Publisher · View at Google Scholar · View at Scopus
  25. J. E. Deutsch, A. Brettler, C. Smith et al., “Nintendo Wii sports and Wii fit game analysis, validation, and application to stroke rehabilitation,” Topics in Stroke Rehabilitation, vol. 18, no. 6, pp. 701–719, 2011. View at Publisher · View at Google Scholar · View at Scopus
  26. D. F. Polit, C. T. Beck, and S. V. Owen, “Focus on research methods: is the CVI an acceptable indicator of content validity? Appraisal and recommendations,” Research in Nursing and Health, vol. 30, no. 4, pp. 459–467, 2007. View at Publisher · View at Google Scholar · View at Scopus
  27. C. E. Lance, M. M. Butts, and L. C. Michels, “The sources of four commonly reported cutoff criteria: what did they really say?” Organizational Research Methods, vol. 9, no. 2, pp. 202–220, 2006. View at Publisher · View at Google Scholar · View at Scopus
  28. M. R. Lynn, “Determination and quantification of content validity,” Nursing Research, vol. 35, no. 6, pp. 382–385, 1986. View at Google Scholar
  29. American College of Sport Medicine, ACSM's Resource Manual for Guidelines for Exercise Testing and Prescription, Lippincott Williams & Wilkins, Baltimore, Md, USA, 10th edition, 2017.
  30. J. E. Pompeu, F. A. D. S. Mendes, K. G. D. Silva et al., “Effect of Nintendo Wii-based motor and cognitive training on activities of daily living in patients with Parkinson's disease: a randomised clinical trial,” Physiotherapy, vol. 98, no. 3, pp. 196–204, 2012. View at Publisher · View at Google Scholar · View at Scopus
  31. M. A. Adams, S. J. Marshall, L. Dillon et al., “A theory-based framework for evaluating exergames as persuasive technology,” in Proceedings of the 4th International Conference on Persuasive Technology, Persuasive'09, April 2009. View at Publisher · View at Google Scholar · View at Scopus
  32. J. Tripette, H. Murakami, T. Ando et al., “Wii Fit U intensity and enjoyment in adults,” BMC Research Notes, vol. 7, no. 1, article 567, 2014. View at Publisher · View at Google Scholar · View at Scopus
  33. A. C. Utter, R. J. Robertson, J. M. Green, R. R. Suminski, S. R. McAnulty, and D. C. Nieman, “Validation of the adult OMNI Scale of Perceived Exertion for walking/running exercise,” Medicine and Science in Sports and Exercise, vol. 36, no. 10, pp. 1776–1780, 2004. View at Publisher · View at Google Scholar · View at Scopus
  34. R. J. Robertson, F. L. Goss, J. Rutkowski et al., “Concurrent validation of the OMNI perceived exertion scale for resistance exercise,” Medicine and Science in Sports and Exercise, vol. 35, no. 2, pp. 333–341, 2003. View at Publisher · View at Google Scholar · View at Scopus
  35. M. A. Watkins, D. L. Riddle, R. L. Lamb, and W. J. Personius, “Reliability of goniometric measurements and visual estimates of knee range of motion obtained in a clinical setting,” Physical Therapy, vol. 71, no. 2, pp. 90–97, 1991. View at Publisher · View at Google Scholar · View at Scopus
  36. B. Rahming, L. A. Pruske, R. Hollinger, and S. M. Harris, Exploring Cognitive Demand, https://www4.uwm.edu/Org/mmp/PPTs/Dec09_Exploring-Cognitive-Demand.ppt.
  37. S. C. McMillan, F. A. Williams, R. Chatfield, and L. D. Camp, “A validity and reliability study of two tools for assessing and managing cancer pain.,” Oncology nursing forum, vol. 15, no. 6, pp. 735–741, 1988. View at Google Scholar · View at Scopus
  38. A. H. Castorr, K. O. Thompson, J. W. Ryan, C. Y. Phillips, P. A. Prescott, and K. L. Soeken, “The process of rater training for observational instruments: Implications for interrater reliability,” Research in Nursing & Health, vol. 13, no. 5, pp. 311–318, 1990. View at Publisher · View at Google Scholar · View at Scopus
  39. C. F. Waltz, O. L. Strickland, and E. R. Lenz, Measurement in nursing and health research, Springer Publishing Company, New York, NY, USA, 4th edition, 2010.
  40. M. M. Oken, R. H. Creech, and D. C. Tormey, “Toxicity and response criteria of the Eastern Cooperative Oncology Group,” American Journal of Clinical Oncology, vol. 5, no. 6, pp. 649–655, 1982. View at Publisher · View at Google Scholar
  41. C. M. Callahan, F. W. Unverzagt, S. L. Hui, A. J. Perkins, and H. C. Hendrie, “Six-item screener to identify cognitive impairment among potential subjects for clinical research,” Medical Care, vol. 40, no. 9, pp. 771–781, 2002. View at Publisher · View at Google Scholar · View at Scopus
  42. H. Wang, K. E. Kip, C. A. Lengacher et al., “Psychological and physical symptom improvement after a 6-week personalized physical activity program among head and neck cancer (HNC) patients,” Psycho-Oncology, vol. 26, no. S1, p. 78, 2017. View at Google Scholar
  43. S. E. Stemler, “A comparison of consensus, consistency, and measurement approaches to estimating interrater reliability,” Practical Assessment, Research and Evaluation, vol. 9, no. 4, 2004. View at Google Scholar · View at Scopus
  44. Y.-P. Chen, M. Caldwell, E. Dickerhoof et al., “Game analysis, validation, and potential application of EyeToy play and play 2 to upper-extremity rehabilitation,” Rehabilitation Research and Practice, vol. 2014, Article ID 279609, 13 pages, 2014. View at Publisher · View at Google Scholar
  45. Y. Guo, J. Bian, T. Leavitt et al., “Assessing the quality of mobile exercise apps based on the American college of sports medicine guidelines: A reliable and valid scoring instrument,” Journal of Medical Internet Research, vol. 19, no. 3, article no. e67, 2017. View at Publisher · View at Google Scholar · View at Scopus
  46. L. Lanningham-Foster, R. C. Foster, S. K. McCrady, T. B. Jensen, N. Mitre, and J. A. Levine, “Activity-Promoting Video Games and Increased Energy Expenditure,” Journal of Pediatrics, vol. 154, no. 6, pp. 819–823, 2009. View at Publisher · View at Google Scholar · View at Scopus
  47. L. E. F. Graves, N. D. Ridgers, K. Williams, G. Stratton, G. Atkinson, and N. T. Cable, “The physiological cost and enjoyment of Wii fit in adolescents, young adults, and older adults,” Journal of Physical Activity and Health, vol. 7, no. 3, pp. 393–401, 2010. View at Publisher · View at Google Scholar · View at Scopus
  48. M. Kafri, M. J. Myslinski, V. K. Gade, and J. E. Deutsch, “Energy expenditure and exercise intensity of interactive video gaming in individuals poststroke,” Neurorehabilitation and Neural Repair, vol. 28, no. 1, pp. 56–65, 2014. View at Publisher · View at Google Scholar · View at Scopus
  49. C. O'Donovan, E. F. Roche, and J. Hussey, “The energy cost of playing active video games in children with obesity and children of a healthy weight,” Pediatric Obesity, vol. 9, no. 4, pp. 310–317, 2014. View at Publisher · View at Google Scholar · View at Scopus
  50. S. Grant, T. Aitchison, and E. Henderson, “A comparison of the reproducibility and the sensitivity to change of visual analogue scales, Borg scales, and likert scales in normal subjects during submaximal exercise,” Chest, vol. 116, no. 5, pp. 1208–1217, 1999. View at Publisher · View at Google Scholar · View at Scopus
  51. A. P. Hills, N. Mokhtar, and N. M. Byrne, “Assessment of Physical Activity and Energy Expenditure: An Overview of Objective Measures,” Frontiers in Nutrition, vol. 1, no. 5, pp. 1–16, 2014. View at Publisher · View at Google Scholar
  52. E. McAuley, A. Szabo, N. Gothe, and E. A. Olson, “Self-efficacy: implications for physical activity, function, and functional limitations in older adults,” American Journal of Lifestyle Medicine, vol. 5, no. 4, pp. 361–369, 2011. View at Publisher · View at Google Scholar
  53. C. S. Kampshoff, F. Jansen, W. van Mechelen et al., “Determinants of exercise adherence and maintenance among cancer survivors: a systematic review,” International Journal of Behavioral Nutrition and Physical Activity, vol. 11, no. 1, article 80, 2014. View at Publisher · View at Google Scholar · View at Scopus