Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-pjpqr Total loading time: 0 Render date: 2024-07-05T18:51:52.143Z Has data issue: false hasContentIssue false

32 - Ergonomics 2.0: Fatigue in Medical Imaging

from Part VI - Applied Perception

Published online by Cambridge University Press:  20 December 2018

Ehsan Samei
Affiliation:
Duke University Medical Center, Durham
Elizabeth A. Krupinski
Affiliation:
Emory University, Atlanta
Get access

Summary

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2018

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

ACGME. (2011). Task Force on Quality Care and Professionalism. The ACGME 2011 duty hour standards: enhancing quality of care, supervision, and resident professional development. Available at:www.acgme.org/Portals/0/PDFs/jgme-monograph[1].pdf (accessed December 20, 2017).Google Scholar
Ackerman, P.L., Kanfer, R., Shapiro, S.W., Newton, S., Beier, M.E. (2010). Cognitive fatigue during testing: an examination of trait, time-on-task, and strategy influences. Hum Perform, 23, 381402.CrossRefGoogle Scholar
Ahsberg, E. (2000). Dimensions of fatigue in different workplace populations. Scand J Psychol, 41, 231241.Google Scholar
Ahsberg, E, Gamberale, F, Gustafsson, K. (2000). Perceived fatigue after mental work: an experimental evaluation of a fatigue inventory. Ergonomics, 43, 252268.CrossRefGoogle Scholar
Akerstedt, T., Knutsson, A., Westerholm, P., Theorell, T., Alfredsson, L., Kecklund, G. (2004). Mental fatigue, work and sleep. J Psychosom Res, 57, 427433.CrossRefGoogle ScholarPubMed
Andre, J.T., Owens, D.A. (1999). Predicting optimal accommodative performance from measures of the dark focus of accommodation. Hum Fact, 41, 139145.Google Scholar
Ankrum, D.R. (1996). Viewing distance at computer workstations. Work Place Ergonom, September/October, 1012.Google Scholar
Backs, R.W., Walrath, L.C. (1992). Eye movement and pupillary response indices of mental workload during visual search of symbolic displays. Appl Ergonom, 23, 243254.CrossRefGoogle ScholarPubMed
Barger, L.K., Cade, B.E., Ayas, N.T., Cronin, J.W., Rosner, B., Speizer, F.E., et al. (2005). Extended work shifts and the risk of motor vehicle crashes among interns. N Engl J Med, 352, 125314.Google Scholar
Bellini, L.M., Baime, M., Shea, J.A. (2002). Variation in mood and empathy during internship. JAMA, 287, 31433146.CrossRefGoogle ScholarPubMed
Ben-Aroya, Z., Segal, D., Hadar, A., Hallak, M., Friger, M., Katz, M., Mazor, M. (2002). Effect of OB/GYN residents’ fatigue and training level on the accuracy of fetal weight estimation. Fetal Diagn Ther, 17, 177–181.CrossRefGoogle Scholar
Berbaum, K.S., Franken, E.A., Dorfman, D.D., et al. (1990). Satisfaction of search in diagnostic radiology. Invest Radiol, 25, 133140.Google Scholar
Berbaum, K.S., Dorfman, D.D., Franken, E.A., et al. (2000). Proper ROC analysis and joint ROC analysis of the satisfaction of search effect in chest radiography. Acad Radiol, 7, 945958.Google Scholar
Berbaum, K.S., Krupinski, E.A., Schartz, K.M., et al. (2015). Satisfaction of search in chest radiography 2015. Acad Radiol, 22, 14571465.CrossRefGoogle ScholarPubMed
Berbaum, K.S., Krupinski, E.A., Schartz, K.M., et al. (2016). The influence of a vocalized checklist on detection of multiple abnormalities in chest radiography. Acad Radiol, 23, 413420.Google Scholar
Berlin, L. (2007). Accuracy of diagnostic procedures: has it improved over the past five decades? Am J Roentgenol, 188, 11731178.Google Scholar
Bilimoria, K.Y., Chung, J.W., Hedges, L.V., Dahlke, A.R., Love, R., Cohen, M.E., et al. (2016). National cluster-randomized trial of duty-hour flexibility in surgical training. N Engl J Med, 374, 713727.Google Scholar
Boiselle, P.M., Levine, D., Horwich, P.J., et al. (2008). Repetitive stress symptoms in radiology: prevalence and response to ergonomic interventions. J Am Coll Radiol, 5, 919923.Google Scholar
Boksem, M.A.S., Tops, M. (2008). Mental fatigue: costs and benefits. Brain Res Rev, 59, 125139.CrossRefGoogle ScholarPubMed
Boksem, M.A.S., Meijman, T.F., Lorist, M.M. (2006). Mental fatigue, motivation and action monitoring. Biol Psychol, 72, 123132.CrossRefGoogle ScholarPubMed
Bruno, M.A., Walker, E.A., Abujudeh, H.H. (2015). Understanding and confronting our mistakes: the epidemiology of error in radiology and strategies for error reduction. RadioGraphics, 35, 16681676.Google Scholar
Bultmann, U., Kant, I., Van den Brandt, P.A., Kasl, S.V. (2002a). Psychosocial work characteristics as risk factors for the onset of fatigue and psychological distress: prospective results from the Maastricht cohort study. Psychol Med, 32, 333345.CrossRefGoogle ScholarPubMed
Bultmann, U., Kant, I., Kasi, S.V., Schroer, K.A.P., Swaen, G.M.H., van den Brandt, P.A. (2002b). Lifestyle factors as risk factors for fatigue and psychological distress in the working population: prospective results from the Maastricht cohort study. J Occup Environ Med, 44, 116124.Google Scholar
Burnside, E.S., Park, J.M., Fine, J.P., Sisney, G.A. (2005). The use of batch reading to improve the performance of screening mammography. Am J Roentgenol, 185, 790796.Google Scholar
Caldwell, J.A., Caldwell, J.L. (2016). Fatigue in Aviation: A Guide to Staying Awake at the Stick. New York, NY: Routledge.Google Scholar
Chi, C.F., Lin, F.T. (1998). A comparison of seven visual fatigue assessment techniques in three data-acquisition VDT tasks. Hum Fact, 40, 577590.Google Scholar
Cornell Musculoskeletal Discomfort Questionnaire for Sedentary Workers. Cornell University Ergonomics Web. Available at: http://ergo.human.cornell.edu/ahmsquest.html (accessed April 17, 2017).Google Scholar
de Mello, M.T., Narciso, F.V., Tufik, S., Paiva, T., Spence, D.W., BaHammam, A.S., et al. (2013). Sleep disorders as a cause of motor vehicle collisions. Int J Prevent Med, 4, 246257.Google Scholar
Dillon, T.W., Emurian, H.H. (1996). Some factors affecting reports of visual fatigue resulting from use of a VDU. Comput Hum Behav, 12, 4959.CrossRefGoogle Scholar
Dinnes, J., Moss, S., Melia, J., Blanks, R., Song, F., Kleijnen, J. (2001). Effectiveness and cost-effectiveness of double reading of mammograms in breast cancer screening: findings of a systematic review. Breast. 10(6), 455463.CrossRefGoogle ScholarPubMed
Dorrian, J., Hussey, F., Dawson, D. (2007). Train driving efficiency and safety: examining the cost of fatigue. J Sleep Res, 16, 111.CrossRefGoogle ScholarPubMed
Dreyer, K.J., Geis, J.R. (2017). When machines think: radiology’s next frontier. Radiology, 285, 713718.Google Scholar
Duffy, V.G., Chan, A.H.S. (2002). Effects of virtual lighting on visual performance and eye fatigue. Hum Fact Ergonom Manufact, 12, 193209.Google Scholar
Ebenholtz, S.M. (2001). Oculomotor Systems and Perception. New York, NY: Cambridge University Press.Google Scholar
European Cockpit Association. (2012). Barometer on pilt fatigue. Available at: www.eurocockpit.be/positions-publications/barometer-pilot-fatigue (accessed December 20, 2017).Google Scholar
Fuchs, A.F., Binder, M.D. (1983). Fatigue resistance of human extraocular muscles. J Neurophysiol, 49, 2834.CrossRefGoogle ScholarPubMed
Gale, A.G., Murray, D., Millar, K., Worthington, B.S. (1984). Circadian variation in radiology. Adv Psychol, 22, 313321.CrossRefGoogle Scholar
Gates, D.H., Dingwell, J.B. (2008). The effects of neuromuscular fatigue on task performance during repetitive goal-directed movements. Exp Brain Res, 187, 573585.CrossRefGoogle Scholar
Grantcharov, T.P., Bardram, L., Funch-Jensen, P., Rosenberg, J. (2001). Laparoscopic performance after one night on call in a surgical department: prospective study. Br Med J, 323, 12221223.CrossRefGoogle Scholar
Gur, D., Bandos, A.I., Cohen, C.S., Hakim, C.M., Hardesty, L.A., Ganott, M.A., et al. (2008). The “laboratory” effect: comparing radiologists’ performance and variability during prospective clinical and laboratory mammography interpretations. Radiology, 249, 4753.CrossRefGoogle Scholar
Hancock, P.A. (2013). In search of vigilance: the problem of iatrogenically created psychological phenomena. Am Psychol, 68, 97109.CrossRefGoogle ScholarPubMed
Hanna, T.N., Lamoureux, C., Krupinski, E.A., Weber, S., Johnson, J.O. (2018a). Effect of shift schedule, and volume on interpretative accuracy: a retrospective analysis of 2.9 million radiologic examinations. Radiology, 287, 205212.CrossRefGoogle ScholarPubMed
Hanna, T., Zygmont, M., Peterson, R., Shekhani, H., Theriot, D., Johnson, J.O., Krupinski, E.A. (2018b). The effects of fatigue from overnight shifts on radiology search patterns and diagnostic performance. J Am Coll Radiol, pii: S1546-1440(17)31661-7.Google Scholar
Hardy, G.E., Shapiro, D.A., Borrill, C.S. (1997). Fatigue in the workforce of National Health Service trusts: levels of symptomatology and links with minor psychiatric disorder, demographic, occupational and work role factors. J Psychosom Res, 43, 8392.Google Scholar
Harris, J.D., Staheli, G., LeClere, L., Andersone, D., McCormick, F. (2015). What effects have resident work-hour changes had on education, quality of life, and safety? A systematic review. Clin Orthop Rel Res, 473, 16001608.Google Scholar
Hasebe, S., Graf, E.W., Schor, C. (2001). Fatigue reduces tonic accommodation. Ophthalmic Physiol Opt, 21, 151160.CrossRefGoogle ScholarPubMed
Heron, G., Charman, W.N., Gray, L.S. (1999). Accommodation responses and ageing. Invest Ophthalmol Visual Sci, 40, 28722883.Google Scholar
Ho, J.C., Lee, M.B., Chen, R.Y., Chen, C.J., Chang, W.P., Yeh, C.Y., et al. (2013). Work-related fatigue among medical personnel in Taiwan. J Formos Med Assoc, 112, 608615.Google Scholar
Hoffmann, J.C., Mittal, S., Hoffmann, C.H., Fadl, A., Baadh, A., Katz, D.S., Flug, J. (2016). Combating the health risks of sedentary behavior in the contemporary radiology reading room. Am J Roentgenol, 206, 11351140.Google Scholar
Horowitz, T.S., Cade, B.E., Wolfe, J.M., Czeisler, C.A. (2003). Searching night and day: a dissociation of effects of circadian phase and time awake on visual selective attention and vigilance. Psychol Sci, 14, 549557.Google Scholar
Howard, S.K., Gaba, D.M., Smith, B.E., Weinger, M.B., Herndon, C., Keshavacharya, S., Rosekind, M.R. (2003). Simulation of rested versus sleep-deprived anesthesiologists. Anesthesiology, 98, 13451355.Google Scholar
Jaschinski-Kruza, W. (1988). Visual strain during VDU work: the effect of viewing distance and dark focus. Ergonomics, 31, 14491465.Google Scholar
Kahn, C.E. (2017). From images to actions: opportunities for artificial intelligence in radiology. Radiology, 285, 719720.Google Scholar
Khan, F.A., Bhalla, S., Jost, G. (2002). Results of the 2001 survey of the American Association of Academic chief residents in radiology. Acad Radiol, 9, 8997.Google Scholar
Kohli, M., Prevedello, L.M., Filice, R.W., Geis, J.R. (2017). Implementing machine learning in radiology practice and research. Am J Roentgenol, 208, 754760.Google Scholar
Komiushina, T.A. (2000). Physiological mechanisms of the etiology of visual fatigue during work involving visual stress. Vestnik Oftalmologii, 116, 3336.Google Scholar
Krupinski, E.A., Berbaum, K.S. (2009). Measurement of visual strain in radiologists. Acad Radiol, 16, 947950.Google Scholar
Krupinski, E., Reiner, B.I. (2012). Real-time occupational stress and fatigue measurement in medical imaging practice. J Digit Imag, 25, 319324.Google Scholar
Krupinski, E.A., Berbaum, K.S., Caldwell, R.T., Schartz, K.M., Kim, J. (2010). Long radiology workdays reduce detection and accommodation accuracy. J Am Coll Radiol, 7, 698704.CrossRefGoogle ScholarPubMed
Krupinski, E.A., Berbaum, K.S., Caldwell, R.T., Schartz, K.M., Madsen, M.T., Kramer, D.J. (2012). Do long radiology workdays affect nodule detection in dynamic CT interpretation? J Am Coll Radiol, 9, 191198.Google Scholar
Krupinski, E.A., Berbaum, K.S., Schartz, K.M., Caldwell, R.T., Madsen, M.T. (2017a). The impact of fatigue on satisfaction of search in chest radiography. Acad Radiol, 24, 10581063.Google Scholar
Krupinski, E.A., Schartz, K.M., van Tassell, M.S., Madsen, M.T., Caldwell, R.T., Berbaum, K.S. (2017b). Effect of fatigue on reading computed tomography examination of the multiple injured patient. J Med Imag, 4, 035504.CrossRefGoogle Scholar
Landrigan, C.P., Rothschild, J.M., Cronin, J.W., Kaushal, R., Burdick, E., Katz, J.T., et al. (2004). Effect of reducing interns’ work hours on serious medical errors in intensive care units. N Engl J Med, 351, 18381848.CrossRefGoogle ScholarPubMed
Lavine, R.A., Sibert, J.L., Gokturk, M., Dickens, B. (2002). Eye-tracking measures and human performance in a vigilance task. Aviat Space Environ Med, 73, 367372.Google Scholar
Lee, J.G., Jun, S., Cho, Y.W., Lee, H., et al. (2017). Deep learning in medical imaging: general overview. Korean J Radiol, 18, 570584.Google Scholar
Levine, A.C., Adusumilli, J., Landrigan, C.P. (2010). Effects of reducing or eliminating resident work shifts over 16 hours: a systematic review. Sleep, 33, 10431053.CrossRefGoogle ScholarPubMed
Lockley, S.W., Barger, L.K., Ayas, N.T., Rothschild, J.M., Czeisler, C.A., Landrigan, C.P. (2007). Effects of health care provider work hours and sleep deprivation on safety and performance. Jt Comm J Qual Patient Saf, 33(11 Suppl), 718.Google Scholar
Lorist, M.M., Kernell, D., Meijman, T.F., Zijdewind, I. (2002). Motor fatigue and cognitive task performance in humans. J Physiol, 545, 313319.Google Scholar
Mann, F.A., Danz, P.L. (1993). The night stalker effect: quality improvements with a dedicated night-call rotation. Invest Radiol, 28, 9296.Google Scholar
Megaw, E.D. (1995). The definition and measurement of visual fatigue. In: Wilson, J.R., Corlett, E.N. (eds.) Evaluation of Human Work: a Practical Ergonomics Methodology. Philadelphia, PA: Taylor & Francis. pp. 840863.Google Scholar
Mehta, R.K., Agnew, M.J. (2012). Influence of mental workload on muscle endurance, fatigue, and recovery during intermittent static work. Eur J Appl Physiol, 112, 28912902.Google Scholar
Mockel, T., Beste, C., Wascher, E. (2015). The effects of time on task in response selection – an ERP study of mental fatigue. Sci Rep, 5, 10113.Google Scholar
Moonesinghe, S.R., Lowery, J., Shahi, N., Millen, A., Beard, J.D. (2011). Impact of reduction in working hours for doctors in training on postgraduate medical education and patients’ outcomes: systematic review. Br Med J, 342, d1580.Google Scholar
Murata, A., Uetake, A., Otsuka, M., Takasaw, Y. (2001). Proposal of an index to evaluate visual fatigue induced during visual display terminal tasks. Int J Hum-Comput Interact, 13, 305321.Google Scholar
Mutti, D.O., Zadnik, K. (1996). Is computer use a risk factor for myopia? J Am Optom Assn, 67, 521530.Google Scholar
Owens, J.A. (2001). Sleep loss and fatigue in medical training. Curr Opin Pulm Med, 7, 411418.CrossRefGoogle ScholarPubMed
Patterson, P.D., Suffoletto, B.P., Kupas, D.F., Weaver, M.D., Hostler, D. (2010). Sleep quality and fatigue among prehospital providers. Prehosp Emerg Care, 14, 187193.Google Scholar
Patterson, P.D., Weaver, M.D., Frank, R.C., Warner, C.W., Martin-Gill, C., Guyette, F.X., et al. (2012). Association between poor sleep, fatigue, and safety outcomes in emergency medical services providers. Prehosp Emerg Care, 6, 8697.Google Scholar
Pigeon, W.R., Sateia, M.J., Ferguson, R.J. (2003). Distinguishing between excessive daytime sleepiness and fatigue – toward improved detection and treatment. J Psychosom Res, 54, 6169.CrossRefGoogle ScholarPubMed
Pronovost, P., Needham, D., Berenholtz, S., Sinopoli, D., Chu, H., Cosgrove, S., et al. (2006). An intervention to decrease catheter-related bloodstream infections in the ICU. N Engl J Med, 355, 27252732.Google Scholar
Reuss, L., O’Connor, S.C., Cho, K.H., et al. (2003). Carpal tunnel syndrome and cubital tunnel syndrome: work-related musculoskeletal disorders in four symptomatic radiologists. Am J Roentgenol, 181, 3742.Google Scholar
Rodrigues, J.C., Morgan, S., Augustine, K., et al. (2014). Musculoskeletal symptoms amongst clinical radiologists and the implications of reporting environment ergonomics- a multicentre questionnaire study. J Digit Imag, 27, 255261.Google Scholar
Rogers, A.E. (2008). The effects of fatigue and sleepiness on nurse performance and patient safety. In: Hughes, R.G. (ed.). Patient Safety and Quality: An Evidence-Based Handbook for Nurses. Rockville, MD: Agency for Healthcare Research and Quality.Google Scholar
Rogers, A.E., Hwang, W.T., Scott, L.D., Aiken, L.H., Dinges, D.F. (2004). The working hours of hospital staff nurses and patient safety. Health Aff (Millwood), 23, 202212.Google Scholar
Rohatgi, S., Hanna, T.N., Sliker, C.W., Abbott, R.M., Nicola, R. (2015). After-hours radiology: challenges and strategies for the radiologist. Am J Roentgenol, 205, 956961.Google Scholar
Rosen, I.M., Shea, J.A., Bellini, L.M. (2003). Residents’ work hours. N Engl J Med, 348, 664666.Google Scholar
Rozenshtein, A., Bauman-Fishkin, O., Fishkin, I., Homel, P. (2003). Radiology residency call in the Northeastern United States: comparison of difficulty and frequency in programs of different sizes. Acad Radiol, 10, 559564.CrossRefGoogle Scholar
Rutter, C.M., Taplin, S. (2000). Assessing mammographers’ accuracy. A comparison of clinical and test performance. J Clin Epidemiol, 53, 443450.Google Scholar
Ruutiainen, A.T., Durand, D.J., Scanlon, M.H., Itri, J.N. (2013). Increased error rates in preliminary reports issued by radiology residents working more than 10 consecutive hours overnight. Acad Radiol, 20, 305311.CrossRefGoogle ScholarPubMed
Sanchez-Roman, F.R., Perez-Lucio, C., Juarez-Ruiz, C., Velez-Zamora, N.M., Jimenez-Villarruel, M. (1996). Risk factors for asthenopia among computer terminal operators. Salud Publ Mex, 38, 189196.Google Scholar
Scott, J.N., Romano, C.C. (2003). On-call services provided by radiology residents in a university hospital environment. Can Assn Radiol J, 54, 104108.Google Scholar
Scott, H., Evan, A., Gale, A., Murphy, A., Reed, J. (2009). The relationship between real life breast screening and an annual self-assessment scheme. Proc SPIE Med Imag, 7263, 72631E-1–72631E-7.CrossRefGoogle Scholar
Seidel, R.L., Krupinski, E.A. (2017). The agony of it all: musculoskeletal discomfort in the reading room. J Am Coll Radiol, 14, 16201625.CrossRefGoogle ScholarPubMed
Siegel, E.L., Reiner, B. (2002). Image workflow. In: Dreyer, K.J., Mehta, A., Thrall, J.H. (eds.) PACS: A Guide to the Digital Revolution. New York, NY: Springer-Verlag, pp. 161190.Google Scholar
Sirevaag, E.J., Stern, J.A. (2000). Ocular measures of fatigue and cognitive factors. In: Backs, R.W., Boucsein, W. (eds.) Engineering Psychophysiology: Issues and Applications. Maywah, NJ: Lawrence Erlbaum, pp. 269287.Google Scholar
Sommerich, C.M., Joines, S.M.B., Psihogios, J.P. (2001). Effects of computer monitor viewing angle and related factors on strain, performance, and preference outcomes. Hum Fact, 43, 3955.Google Scholar
Stern, J.A., Boyer, D., Schroeder, D., Touchstone, M. (1994). Blinks, saccades, and fixation pauses during vigilance task performance. I. Time on task. FAA Off Aviat Med Rep, FAA-AM-94- 26, 144.Google Scholar
Stinton, C., Jenkinson, D., Adekanmbi, V., Clarke, A., Taylor-Phillips, S. (2017). Does time of day influence cancer detection and recall rates in mammography? Proc SPIE Med Imag, 10136, 10136B.Google Scholar
Stone, M.D., Doyle, J., Bosch, R.J., Bothe, A., Steele, G. (2000). Effect of resident call system on ABSITE performance. Surgery, 28, 465471.Google Scholar
Takahashi, K., Sasaki, T., Hosokawa, T., Kurasaki, M., Saito, K. (2001). Combined effects of working environmental conditions in VDT work. Ergonomics, 44, 562570.Google Scholar
Taylor, P., Potts, H.W.W. (2008). Computer aids and human second reading as interventions in screening mammography: two systematic reviews to compare effects on cancer detection and recall rate. Eur J Cancer, 44, 798807.Google Scholar
Taylor-Phillips, S., Clarke, A., Wallis, M., Wheaton, M, Duncan, A, Gale, A.G. (2001). The time course of cancer detection performance. Proc SPIE Med Imag, 7966, 796605-1–796605-8.Google Scholar
Taylor-Phillips, S., Wallis, M.G., Jenkinson, D., Adekanmbi, V., Parsons, H., Dunn, J., et al. (2016). Effect of using the same vs different order for second readings of screening mammograms on rates of breast cancer detection: a randomized clinical trial. JAMA, 315, 19561965.Google Scholar
Thompson, A.C., Kremer Prill, M.J., Biswal, S., et al. (2014). Factors associated with repetitive strain, and strategies to reduce injury among breast-imaging radiologists. J Am Coll Radiol, 11, 10741079.CrossRefGoogle ScholarPubMed
Townsend, R.R., Manco-Johnson, M.L. (1995). Night call in US radiology residency programs. Acad Radiol, 2, 810815.Google Scholar
Trinkoff, A.M., Le, R., Geiger-Brown, J., Lipscomb, J. (2007). Work schedule, needle use, and needlestick injuries among registered nurses. Infect Control Hosp Epidemiol, 28, 156164.Google Scholar
Turville, K.L., Psihogios, J.P., Ulmer, T.R., Mirka, G.A. (1998). The effects of video display terminal height on the operator: a comparison of the 15” and 40” recommendation. Appl Ergonom, 9, 239246.Google Scholar
Tyrrell, R.A., Leibowitz, H.W. (1990). The relation of vergence effort to reports of visual fatigue following prolonged near work. Hum Fact, 32, 341357.CrossRefGoogle ScholarPubMed
Van Cutsem, J., Marcora, S., De Pauw, K., Bailey, S., Meeusen, R., Roelands, B. (2017). The effects of mental fatigue on physical performance: a systematic review. Sports Med, 47, 15691588.Google Scholar
Van Orden, K.F., Jung, T.P., Makeig, S. (2000). Combined eye activity measures accurately estimate changes in sustained visual task performance. Biol Psychol, 52, 221240.Google Scholar
Veasey, S., Rosen, R., Barzansky, B., Rosen, I., Owens, J. (2002). Sleep loss and fatigue in residency training: a reappraisal. JAMA, 288, 11161124.Google Scholar
Waite, S., Kolla, S., Jeudy, J., Legasto, A., Macknik, S.L., Martinez-Condo, S., Krupinski, E.A., Reede, D.L. (2017). Tired in the reading room: the influence of fatigue in radiology. J Am Coll Radiol, 14, 191197.CrossRefGoogle ScholarPubMed
Wascher, E., Getzmann, S. (2014). Rapid mental fatigue amplifies age-related attentional deficits. J Psychophys, 28, 215224.Google Scholar
Watanabe, Y. (2007). Preface and mini-review: fatigue science for human health. In: Watanabe, Y., Evengård, B., Natelson, B., Jason, L., Kuratsune, H. (eds.) Fatigue Science for Human Health. New York, NY: Springer, pp. 511.Google Scholar
Watten, R.G., Lie, I. (1992). Time factors in VDT-induced myopia and visual fatigue: an experimental study. J Hum Ergol, 21, 1320.Google Scholar
Watten, R.G., Lie, I., Birketvedt, O. (1994). The influence of long-term visual near-work on accommodation and vergence: a field study. J Hum Ergol, 23, 2739.Google ScholarPubMed
Whetsell, J.F. (2003). Changing the law, challenging the culture: rethinking the “sleepy resident” problem. Ann Health Law, 12, 2373.Google Scholar
Wolska, A., Switula, M. (1999). Luminance of the surround and visual fatigue of VDT operators. Int J Occup Saf Ergonom, 5, 553581.Google Scholar
Yunfang, L., Wenjing, W., Bingshuang, H., Changji, L., Chenglie, Z. (2000). Visual strain and working capacity in computer operators. Homeostasis Health Dis, 40, 2729.Google Scholar
Ziefle, M. (1998). Effects of display resolution on visual performance. Hum Fact, 40, 554568.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×