Characterizing fatigue phenotypes with other symptoms and clinically relevant outcomes among people with multiple sclerosis
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Rooney, S., Wood, L., Moffat, F., & Paul, L. (2019). Prevalence of fatigue and its association with clinical features in progressive and non-progressive forms of multiple sclerosis. Multiple Sclerosis and Related Disorders, 28, 276–282. https://doi.org/10.1016/j.msard.2019.01.011
Olsson, M., Lexell, J., & Soderberg, S. (2005). The meaning of fatigue for women with multiple sclerosis. Journal of Advanced Nursing, 49(1), 7–15. https://doi.org/10.1111/j.1365-2648.2004.03258.x
Fisk, J., Pontefract, A., Ritvo, P., Archibald, C., & Murray, T. (1994). The impact of fatigue on patients with multiple sclerosis. Canadian Journal of Neurological Sciences, 21(1), 9–14.
Smith, M. M., & Arnett, P. A. (2005). Factors related to employment status changes in individuals with multiple sclerosis. Multiple Sclerosis Journal, 11(5), 602–609. https://doi.org/10.1191/1352458505ms1204oa
Skerrett, T. N., & Moss-Morris, R. (2006). Fatigue and social impairment in multiple sclerosis: The role of patients’ cognitive and behavioral responses to their symptoms. Journal of Psychosomatic Research, 61(5), 587–593. https://doi.org/10.1016/j.jpsychores.2006.04.018
Hersche, R., Roser, K., Weise, A., Michel, G., & Barbero, M. (2021). Fatigue self-management education in persons with disease-related fatigue: A comprehensive review of the effectiveness on fatigue and quality of life. Patient Education and Counseling. https://doi.org/10.1016/j.pec.2021.09.016
Nourbakhsh, B., Revirajan, N., Morris, B., Cordano, C., Creasman, J., Manguinao, M., Krysko, K., Rutatangwa, A., Auvray, C., & Aljarallah, S. (2021). Safety and efficacy of amantadine, modafinil, and methylphenidate for fatigue in multiple sclerosis: A randomised, placebo-controlled, crossover, double-blind trial. Lancet Neurology, 20(1), 38–48. https://doi.org/10.1016/S1474-4422(20)30354-9
Moss-Morris, R., Harrison, A. M., Safari, R., Norton, S., van der Linden, M. L., Picariello, F., Thomas, S., White, C., & Mercer, T. (2021). Which behavioural and exercise interventions targeting fatigue show the most promise in multiple sclerosis? A systematic review with narrative synthesis and meta-analysis. Behaviour Research and Therapy, 137, 103464. https://doi.org/10.1016/j.brat.2019.103464
Salomè, A., SassoD’Elia, T., Franchini, G., Santilli, V., & Paolucci, T. (2019). Occupational therapy in fatigue management in multiple sclerosis: an umbrella review. Multiple Sclerosis International, 2019, 2027947. https://doi.org/10.1155/2019/2027947
Chalah, M. A., & Ayache, S. S. (2018). Cognitive behavioral therapies and multiple sclerosis fatigue: A review of literature. Journal of Clinical Neuroscience, 52, 1–4. https://doi.org/10.1016/j.jocn.2018.03.024
Miller, P., & Soundy, A. (2017). The pharmacological and non-pharmacological interventions for the management of fatigue related multiple sclerosis. Journal of the Neurological Sciences, 381, 41–54. https://doi.org/10.1016/j.jns.2017.08.012
Phyo, A. Z. Z., Demaneuf, T., De Livera, A. M., Jelinek, G. A., Brown, C. R., Marck, C. H., Neate, S. L., Taylor, K. L., Mills, T., O’Kearney, E., Karahalios, A., & Weiland, T. J. (2018). The efficacy of psychological interventions for managing fatigue in people with multiple sclerosis: A systematic review and meta-analysis. Frontiers in Neurology. https://doi.org/10.3389/fneur.2018.00149
Manjaly, Z. M., Harrison, N. A., Critchley, H. D., Do, C. T., Stefanics, G., Wenderoth, N., Lutterotti, A., Muller, A., & Stephan, K. E. (2019). Pathophysiological and cognitive mechanisms of fatigue in multiple sclerosis. Journal of Neurology, Neurosurgery, and Psychiatry, 90(6), 642–651. https://doi.org/10.1136/jnnp-2018-320050
Plow, M., Motl, R. W., Finlayson, M., & Bethoux, F. (2020). Response heterogeneity in a randomized controlled trial of telerehabilitation interventions among adults with multiple sclerosis. Journal of Telemedicine and Telecare. https://doi.org/10.1177/1357633x20964693
Finlayson, M., Preissner, K., & Cho, C. (2012). Outcome moderators of a fatigue management program for people with multiple sclerosis. American Journal of Occupational Therapy, 66(2), 187–197. https://doi.org/10.5014/ajot.2012.003160
Ehde, D. M., Arewasikporn, A., Alschuler, K. N., Hughes, A. J., & Turner, A. P. (2018). Moderators of treatment outcomes after telehealth self-management and education in adults with multiple sclerosis: A secondary analysis of a randomized controlled trial. Archives of Physical Medicine and Rehabilitation, 99(7), 1265–1272. https://doi.org/10.1016/j.apmr.2017.12.012
Plow, M., & Nicka, A. (2018). Fatigue in multiple sclerosis. In F. Robert, A. Rae-Grant, & F. Bethoux (Eds.), Multiple sclerosis and related disorders: Clinical guide to diagnosis, medical management, and rehabilitation. Springer Publishing Company.
Enoka, R. M., Almuklass, A. M., Alenazy, M., Alvarez, E., & Duchateau, J. (2021). Distinguishing between fatigue and fatigability in multiple sclerosis. Neurorehabilitation & Neural Repair, 35(11), 960–973. https://doi.org/10.1177/15459683211046257
Lyon, D. E., McCain, N. L., Pickler, R. H., Munro, C., & Elswick, R. K., Jr. (2011). Advancing the biobehavioral research of fatigue with genetics and genomics. Journal of Nursing Scholarship, 43(3), 274–281. https://doi.org/10.1111/j.1547-5069.2011.01406.x
Fisk, J. D., Ritvo, P. G., Ross, L., Haase, D. A., Marrie, T. J., & Schlech, W. F. (1994). Measuring the functional impact of fatigue: Initial validation of the fatigue impact scale. Clinical Infectious Diseases, 18(Suppl 1), S79–S83.
Miaskowski, C., Barsevick, A., Berger, A., Casagrande, R., Grady, P. A., Jacobsen, P., Kutner, J., Patrick, D., Zimmerman, L., Xiao, C., Matocha, M., & Marden, S. (2017). Advancing symptom science through symptom cluster research: Expert panel proceedings and recommendations. Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/djw253
Shahrbanian, S., Duquette, P., Kuspinar, A., & Mayo, N. E. (2015). Contribution of symptom clusters to multiple sclerosis consequences. Quality of Life Research, 24(3), 617–629. https://doi.org/10.1007/s11136-014-0804-7
Kwekkeboom, K. L., Tostrud, L., Costanzo, E., Coe, C. L., Serlin, R. C., Ward, S. E., & Zhang, Y. (2018). The role of inflammation in the pain, fatigue, and sleep disturbance symptom cluster in advanced cancer. Journal of Pain and Symptom Management, 55(5), 1286–1295. https://doi.org/10.1016/j.jpainsymman.2018.01.008
DeVon, H. A., Vuckovic, K., Ryan, C. J., Barnason, S., Zerwic, J. J., Pozehl, B., Schulz, P., Seo, Y., & Zimmerman, L. (2017). Systematic review of symptom clusters in cardiovascular disease. European Journal of Cardiovascular Nursing, 16(1), 6–17. https://doi.org/10.1177/1474515116642594
Jenkins, B. A., Athilingam, P., & Jenkins, R. A. (2019). Symptom clusters in chronic obstructive pulmonary disease: A systematic review. Applied Nursing Research, 45, 23–29. https://doi.org/10.1016/j.apnr.2018.11.003
Motl, R. W., Suh, Y., & Weikert, M. (2010). Symptom cluster and quality of life in multiple sclerosis. Journal of Pain and Symptom Management, 39(6), 1025–1032. https://doi.org/10.1016/j.jpainsymman.2009.11.312
De Meo, E., Portaccio, E., Giorgio, A., Ruano, L., Goretti, B., Niccolai, C., Patti, F., Chisari, C. G., Gallo, P., Grossi, P., Ghezzi, A., Roscio, M., Mattioli, F., Stampatori, C., Simone, M., Viterbo, R. G., Bonacchi, R., Rocca, M. A., De Stefano, N., … Amato, M. P. (2021). Identifying the distinct cognitive phenotypes in multiple sclerosis. JAMA Neurology, 78(4), 414–425. https://doi.org/10.1001/jamaneurol.2020.4920
Leavitt, V. M., Tosto, G., & Riley, C. S. (2018). Cognitive phenotypes in multiple sclerosis. Journal of Neurology, 265(3), 562–566. https://doi.org/10.1007/s00415-018-8747-5
Kim, M. T., Radhakrishnan, K., Heitkemper, E. M., Choi, E., & Burgermaster, M. (2021). Psychosocial phenotyping as a personalization strategy for chronic disease self-management interventions. American Journal of Translational Research, 13(3), 1617.
Wojczynski, M. K., & Tiwari, H. K. (2008). Definition of phenotype. Advances in genetics, 60, 75–105.
Wang, E., Chang, J. H. C., & Plow, M. (2022). Predictors of fatigue self-management behaviors in adults with multiple sclerosis. NeuroRehabilitation, 50(1), 75–87. https://doi.org/10.3233/nre-210179
Plow, M., & Gunzler, D. D. (2022). Disentangling self-reported fatigue, depression, and cognitive impairment in people with multiple sclerosis. Multiple Sclerosis and Related Disorders, 61, 103736. https://doi.org/10.1016/j.msard.2022.103736
Cella, D., Lai, J. S., Nowinski, C. J., Victorson, D., Peterman, A., Miller, D., Bethoux, F., Heinemann, A., Rubin, S., Cavazos, J. E., Reder, A. T., Sufit, R., Simuni, T., Holmes, G. L., Siderowf, A., Wojna, V., Bode, R., McKinney, N., Podrabsky, T., … Moy, C. (2012). Neuro-QOL: Brief measures of health-related quality of life for clinical research in neurology. Neurology, 78(23), 1860–1867. https://doi.org/10.1212/WNL.0b013e318258f744
Bowen, J., Gibbons, L., Gianas, A., & Kraft, G. H. (2001). Self-administered expanded disability status scale with functional system scores correlates well with a physician-administered test. Multiple Sclerosis Journal, 7, 201–206. https://doi.org/10.1177/135245850100700311
Katzman, R., Brown, T., Fuld, P., Peck, A., Schechter, R., & Schimmel, H. (1983). Validation of a short orientation-memory-concentration test of cognitive impairment. American Journal of Psychiatry, 140(6), 734–739.
Chalder, T., Berelowitz, G., Pawlikowska, T., Watts, L., Wessely, S., Wright, D., & Wallace, E. P. (1993). Development of a fatigue scale. Journal of Psychosomatic Research, 37(2), 147–153. https://doi.org/10.1016/0022-3999(93)90081-p
Penner, I., Raselli, C., Stöcklin, M., Opwis, K., Kappos, L., & Calabrese, P. (2009). The fatigue scale for motor and cognitive functions (FSMC): Validation of a new instrument to assess multiple sclerosis-related fatigue. Multiple Sclerosis, 15(12), 1509–1517. https://doi.org/10.1177/1352458509348519
Miller, D. M., Bethoux, F., Victorson, D., Nowinski, C. J., Buono, S., Lai, J. S., Wortman, K., Burns, J. L., Moy, C., & Cella, D. (2016). Validating Neuro-QoL short forms and targeted scales with people who have multiple sclerosis. Multiple Sclerosis, 22(6), 830–841. https://doi.org/10.1177/1352458515599450
Ritvo, P., Fischer, J. S., Miller, D. M., Andrews, H., Paty, D., & LaRocca, N. (1997). Multiple Sclerosis Quality of Life Inventory: A user’s manual (pp. 1–65). New York: National Multiple Sclerosis Society.
Rudick, R., Antel, J., Confavreux, C., Cutter, G., Ellison, G., Fischer, J., Lublin, F., Miller, A., Petkau, J., Rao, S., Reingold, S., Syndulko, K., Thompson, A., Wallenberg, J., Weinshenker, B., & Willoughby, E. (1996). Clinical outcomes assessment in multiple sclerosis. Annals of Neurology, 40(3), 469–479. https://doi.org/10.1002/ana.410400321
Buysse, D. J., Reynolds, C. F., 3rd., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989). The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research. Psychiatry Research, 28(2), 193–213. https://doi.org/10.1016/0165-1781(89)90047-4
Hammel, J., Magasi, S., Heinemann, A., Whiteneck, G., Bogner, J., & Rodriguez, E. (2008). What does participation mean? An insider perspective from people with disabilities. Disability and Rehabilitation, 30(19), 1445–1460. https://doi.org/10.1080/09638280701625534
Heinemann, A. W., Lai, J. S., Magasi, S., Hammel, J., Corrigan, J. D., Bogner, J. A., & Whiteneck, G. G. (2011). Measuring participation enfranchisement. Archives of Physical Medicine and Rehabilitation, 92(4), 564–571. https://doi.org/10.1016/j.apmr.2010.07.220
Heinemann, A. W., Magasi, S., Bode, R. K., Hammel, J., Whiteneck, G. G., Bogner, J., & Corrigan, J. D. (2013). Measuring enfranchisement: Importance of and control over participation by people with disabilities. Archives of Physical Medicine and Rehabilitation, 94(11), 2157–2165. https://doi.org/10.1016/j.apmr.2013.05.017
Plow, M. A., Finlayson, M., Gunzler, D., & Heinemann, A. W. (2015). Correlates of participation in meaningful activities among people with multiple sclerosis. Journal of Rehabilitation Medicine. https://doi.org/10.2340/16501977-1948
Learmonth, Y. C., Motl, R. W., Sandroff, B. M., Pula, J. H., & Cadavid, D. (2013). Validation of patient determined disease steps (PDDS) scale scores in persons with multiple sclerosis. BMC Neurology, 13(1), 37. https://doi.org/10.1186/1471-2377-13-37
Hohol, M. J., Orav, E. J., & Weiner, H. L. (1999). Disease steps in multiple sclerosis: A longitudinal study comparing disease steps and EDSS to evaluate disease progression. Multiple Sclerosis, 5(5), 349–354. https://doi.org/10.1177/135245859900500508
Horton, M., Rudick, R. A., Hara-Cleaver, C., & Marrie, R. A. (2010). Validation of a self-report comorbidity questionnaire for multiple sclerosis. Neuroepidemiology, 35(2), 83–90. https://doi.org/10.1159/000311013
Whiteneck, G. G., Harrison-Felix, C. L., Mellick, D. C., Brooks, C. A., Charlifue, S. B., & Gerhart, K. A. (2004). Quantifying environmental factors: A measure of physical, attitudinal, service, productivity, and policy barriers. Archives of Physical Medicine and Rehabilitation, 85(8), 1324–1335. https://doi.org/10.1016/j.apmr.2003.09.027
Finlayson, M., Plow, M., & Cho, C. (2010). Use of physical therapy services among middle-aged and older adults with multiple sclerosis. Physical Therapy, 90(11), 1607–1618. https://doi.org/10.2522/ptj.20100072
Finlayson, M., Garcia, J. D., & Cho, C. (2008). Occupational therapy service use among people aging with multiple sclerosis. American Journal of Occupational Therapy, 62(3), 320–328. https://doi.org/10.5014/ajot.62.3.320
Plow, M., Cho, C., & Finlayson, M. (2010). Utilization of health promotion and wellness services among middle-aged and older adults with multiple sclerosis in the mid-west US. Health Promotion International, 25(3), 318–330. https://doi.org/10.1093/heapro/daq023
Lorig, K. (1996). Outcome measures for health education and other health care interventions. Sage Publications.
Jacobsen, P. B., Azzarello, L. M., & Hann, D. M. (2004). Relation of catastrophizing to fatigue severity in women with breast cancer. Journal of Consulting and Clinical Psychology, 72(2), 355–361. https://doi.org/10.1037/0022-006X.72.2.355
Godin, G. (2011). The Godin-Shephard leisure-time physical activity questionnaire. The Health & Fitness Journal of Canada, 4(1), 18–22.
Godin, G., & Shephard, R. J. (1985). A simple method to assess exercise behavior in the community. Canadian Journal of Applied Sport Sciences, 10(3), 141–146.
Mochari, H., Gao, Q., & Mosca, L. (2008). Validation of the MEDFICTS dietary assessment questionnaire in a diverse population. Journal of the American Dietetic Association, 108(5), 817–822. https://doi.org/10.1016/j.jada.2008.02.021
Mallik, P. S., Finlayson, M., Mathiowetz, V., & Fogg, L. (2005). Psychometric evaluation of the energy conservation strategies survey. Clinical Rehabilitation, 19(5), 538–543. https://doi.org/10.1191/0269215505cr789oa
Gunzler, D. D., Perzynski, A. T., & Carle, A. C. (2021). Structural equation modeling for health and medicine. Chapman and Hall/CRC.
Spurk, D., Hirschi, A., Wang, M., Valero, D., & Kauffeld, S. (2020). Latent profile analysis: A review and “how to” guide of its application within vocational behavior research. Journal of Vocational Behavior, 120, 103445. https://doi.org/10.1016/j.jvb.2020.103445
Muthén, B., & Shedden, K. (1999). Finite mixture modeling with mixture outcomes using the EM algorithm. Biometrics, 55(2), 463–469.
Muthén, L. K., & Muthén, B. (2017). Mplus user’s guide: Statistical analysis with latent variables, user’s guide. Muthén & Muthén.
Adams, M. A., & Conway, T. L. (2014). Eta squared. In A. C. Michalos (Ed.), Encyclopedia of quality of life and well-being research (pp. 1965–1966). Springer, Netherlands.
Muthén, L. K., & Muthén, B. O. (2021). Mplus: The comprehensive modeling program for applied researchers: User’s guide. Muthén & Muthén.
Venables, W. N., Smith, D. M., & Team, R. D. C. (2009). An introduction to R. Citeseer.
Hallquist, M. N., & Wiley, J. F. (2018). MplusAutomation: An R package for facilitating large-scale latent variable analyses in M plus. Structural Equation Modeling: A Multidisciplinary Journal, 25(4), 621–638.
Walton, C., King, R., Rechtman, L., Kaye, W., Leray, E., Marrie, R. A., Robertson, N., La Rocca, N., Uitdehaag, B., & van der Mei, I. (2020). Rising prevalence of multiple sclerosis worldwide: Insights from the Atlas of MS. Multiple Sclerosis Journal, 26(14), 1816–1821. https://doi.org/10.1177/1352458520970841
Gilmour, H., Ramage-Morin, P. L., & Wong, S. L. (2018). Multiple sclerosis: Prevalence and impact. Health Reports, 29(1), 3–8.
Pust, G. E. A., Pottgen, J., Randerath, J., Lau, S., Heesen, C., Gold, S. M., & Penner, I. K. (2019). In search of distinct MS-related fatigue subtypes: Results from a multi-cohort analysis in 1.403 MS patients. Journal of Neurology, 266(7), 1663–1673. https://doi.org/10.1007/s00415-019-09311-2
Chilcot, J., Norton, S., Kelly, M. E., & Moss-Morris, R. (2016). The Chalder fatigue questionnaire is a valid and reliable measure of perceived fatigue severity in multiple sclerosis. Multiple Sclerosis Journal, 22(5), 677–684. https://doi.org/10.1177/1352458515598019
Gunzler, D. D., Perzynski, A., Morris, N., Bermel, R., Lewis, S., & Miller, D. (2015). Disentangling multiple sclerosis and depression: An adjusted depression screening score for patient-centered care. Journal of Behavioral Medicine, 38(2), 237–250. https://doi.org/10.1007/s10865-014-9574-5
Kratz, A. L., Fritz, N. E., Braley, T. J., Scott, E. L., Foxen-Craft, E., & Murphy, S. L. (2018). Daily temporal associations between physical activity and symptoms in multiple sclerosis. Annals of Behavioral Medicine, 53(1), 98–108. https://doi.org/10.1093/abm/kay018
Salter, A., Fox, R. J., Tyry, T., Cutter, G., & Marrie, R. A. (2019). The association of fatigue and social participation in multiple sclerosis as assessed using two different instruments. Multiple Sclerosis and Related Disorders, 31, 165–172. https://doi.org/10.1016/j.msard.2019.04.014
Biernacki, T., Sandi, D., Kincses, Z. T., Füvesi, J., Rózsa, C., Mátyás, K., Vécsei, L., & Bencsik, K. (2019). Contributing factors to health-related quality of life in multiple sclerosis. Brain and behavior, 9(12), e01466. https://doi.org/10.1002/brb3.1466
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.
Moore, S. M., Jones, L., & Alemi, F. (2016). Family self-tailoring: Applying a systems approach to improving family healthy living behaviors. Nursing Outlook, 64(4), 306–311. https://doi.org/10.1016/j.outlook.2016.05.006
Plow, M., Moore, S., Chang, J., & Bachhal, F. (2020). Randomized controlled trial of SystemCHANGE weight management intervention in neurological conditions. Patient Education and Counseling, 103(1), 112–119. https://doi.org/10.1016/j.pec.2019.08.007