Indirect causal path from motor function to quality of life through daily use of the affected arm poststroke after task-specific training: a longitudinal mediation analysis

References

• Bailey RR, Klaesner JW, Lang CE. Quantifying real-world upper-limb activity in nondisabled adults and adults with chronic stroke. Neurorehabil Neural Repair. 2015;29(10):969–978.
   PubMed Web of Science ®Google Scholar
• Madden RH, Bundy A. The ICF has made a difference to functioning and disability measurement and statistics. Disabil Rehabil. 2019;41(12):1450–1462.
   PubMed Web of Science ®Google Scholar
• Hart T, Dijkers MP, Whyte J, et al. A theory-driven system for the specification of rehabilitation treatments. Arch Phys Med Rehabil. 2019;100(1):172–180.
   PubMed Web of Science ®Google Scholar
• Van Stan JH, Whyte J, Duffy JR, et al. Rehabilitation treatment specification system: methodology to identify and describe unique targets and ingredients. Arch Phys Med Rehabil. 2021;102(3):521–531.
   PubMed Web of Science ®Google Scholar
• Hubbard IJ, Parsons MW, Neilson C, et al. Task‐specific training: evidence for and translation to clinical practice. Occup Ther Int. 2009;16(3-4):175–189.
   PubMed Web of Science ®Google Scholar
• Rozevink SG, Hijmans JM, Horstink KA, et al. Effectiveness of task-specific training using assistive devices and task-specific usual care on upper limb performance after stroke: a systematic review and meta-analysis. Disabil Rehabil Assist Technol. 2021:1–14. DOI: 10.1080/17483107.2021.2001061
   PubMed Web of Science ®Google Scholar
• Hsieh YW, Chang KC, Hung JW, et al. Effects of home-based versus clinic-based rehabilitation combining mirror therapy and task-specific training for patients with stroke: a randomized crossover trial. Arch Phys Med Rehabil. 2018;99(12):2399–2407.
   PubMed Web of Science ®Google Scholar
• Lee YY, Lin KC, Wu CY, et al. Combining afferent stimulation and mirror therapy for improving muscular, sensorimotor, and daily functions after chronic stroke: a randomized, placebo-controlled study. Am J Phys Med Rehabil. 2015;94(10 Suppl 1):859–868.
   PubMed Web of Science ®Google Scholar
• Hung CS, Hsieh YW, Wu CY, et al. The effects of combination of robot-assisted therapy with task-specific or impairment-oriented training on motor function and quality of lfe in chronic stroke. Pm R. 2016;8(8):721–729.
   PubMedGoogle Scholar
• Lee YY, Lin KC, Cheng HJ, et al. Effects of combining robot-assisted therapy with neuromuscular electrical stimulation on motor impairment, motor and daily function, and quality of life in patients with chronic stroke: a double-blinded randomized controlled trial. J Neuroeng Rehab. 2015;12:96.
   PubMed Web of Science ®Google Scholar
• Chen CM, Tsai CC, Chung CY, et al. Potential predictors for health-related quality of life in stroke patients undergoing inpatient rehabilitation. Health Qual Life Outcomes. 2015;13:118.
   PubMed Web of Science ®Google Scholar
• Morris JH, van Wijck F, Joice S, et al. Predicting health related quality of life 6 months after stroke: the role of anxiety and upper limb dysfunction. Disabil Rehabil. 2013;35(4):291–299.
   PubMed Web of Science ®Google Scholar
• Franceschini M, La Porta F, Agosti M, et al. Is health-related-quality of life of stroke patients influenced by neurological impairments at one year after stroke? Eur J Phys Rehabil Med. 2010;46(3):389–399.
   PubMed Web of Science ®Google Scholar
• Chang WH, Sohn MK, Lee J, et al. Predictors of functional level and quality of life at 6 months after a first-ever stroke: the KOSCO study. J Neurol. 2016;263(6):1166–1177.
   PubMed Web of Science ®Google Scholar
• Lieshout E, van de Port IG, Dijkhuizen RM, et al. Does upper limb strength play a prominent role in health-related quality of life in stroke patients discharged from inpatient rehabilitation? Top Stroke Rehabil. 2020;27(7):525–533.
   PubMed Web of Science ®Google Scholar
• Zanca JM, Turkstra LS, Chen C, et al. Advancing rehabilitation practice through improved specification of interventions. Arch Phys Med Rehabil. 2019;100(1):164–171.
   PubMed Web of Science ®Google Scholar
• Schweighofer N, Choi Y, Winstein C, et al. Task-oriented rehabilitation robotics. Am J Phys Med Rehabil. 2012;91(11 Suppl 3):S270–S279.
   PubMedGoogle Scholar
• Fugl-Meyer AR, Jääskö L, Leyman I, et al. The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance. Scand J Rehabil Med. 1975;7(1):13–31.
   PubMedGoogle Scholar
• Gladstone DJ, Danells CJ, Black SE. The Fugl-Meyer assessment of motor recovery after stroke: a critical review of its measurement properties. Neurorehabil Neural Repair. 2002;16(3):232–240.
   PubMed Web of Science ®Google Scholar
• Taub E, McCulloch K, Uswatte G, et al. Motor Activity Log (MAL) manual. 2011. https://www.uab.edu/citherapy/images/pdf_files/CIT_Training_MAL_manual.pdf
   Google Scholar
• Hammer AM, Lindmark B. Responsiveness and validity of the motor activity log in patients during the subacute phase after stroke. Disabil Rehabil. 2010;32(14):1184–1193.
   PubMed Web of Science ®Google Scholar
• Uswatte G, Taub E, Morris D, et al. The motor activity log-28: assessing daily use of the hemiparetic arm after stroke. Neurology. 2006;67(7):1189–1194.
   PubMed Web of Science ®Google Scholar
• Hamilton BB, Granger CV, Sherwin FS, et al. A uniform national data system for medical rehabilitation. In: Fuhrer MJ, editor. Rehabilitation outcomes: anaysis and measurment. Baltimore: Brookes; 1987. p. 137–147.
   Google Scholar
• Gosman-Hedström G, Svensson E. Parallel reliability of the functional independence measure and the barthel ADL index. Disabil Rehabil. 2000;22(16):702–715.
   PubMed Web of Science ®Google Scholar
• Ottenbacher KJ, Hsu Y, Granger CV, et al. The reliability of the functional independence measure: a quantitative review. Arch Phys Med Rehabil. 1996;77(12):1226–1232.
   PubMed Web of Science ®Google Scholar
• Nouri F, Lincoln N. An extended activities of daily living scale for stroke patients. Clin Rehabil. 1987;1(4):301–305.
   Google Scholar
• Hsueh I-P, Huang S-L, Chen M-H, et al. Evaluation of stroke patients with the extended activities of daily living scale in Taiwan. Disabil Rehabil. 2000;22(11):495–500.
   PubMed Web of Science ®Google Scholar
• Duncan PW, Bode RK, Lai SM, et al. Rasch analysis of a new stroke-specific outcome scale: the stroke impact scale. Arch Phys Med Rehabil. 2003;84(7):950–963.
   PubMed Web of Science ®Google Scholar
• Vellone E, Savini S, Fida R, et al. Psychometric evaluation of the stroke impact scale 3.0. J Cardiovasc Nurs. 2015;30(3):229–241.
   PubMed Web of Science ®Google Scholar
• Portney LG. Foundations of clinical research: applications to evidence-based practice. 4th ed. Philadelphia: F. A. Davis; 2020.
   Google Scholar
• Hayes AF. Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. 2nd ed. New York: Guilford publications; 2018.
   Google Scholar
• Fritz MS, MacKinnon DP. Required sample size to detect the mediated effect. Psychol Sci. 2007;18(3):233–239.
   PubMed Web of Science ®Google Scholar
• Li KY, Lin KC, Wang TN, et al. Ability of three motor measures to predict functional outcomes reported by stroke patients after rehabilitation. NeuroRehabilitation. 2012;30(4):267–275.
   PubMed Web of Science ®Google Scholar
• Pulman J, Buckley E. Assessing the efficacy of different upper limb hemiparesis interventions on improving health-related quality of life in stroke patients: a systematic review. Top Stroke Rehabil. 2013;20(2):171–188.
   PubMed Web of Science ®Google Scholar
• Kelly KM, Borstad AL, Kline D, et al. Improved quality of life following constraint-induced movement therapy is associated with gains in arm use, but not motor improvement. Top Stroke Rehabil. 2018;25(7):467–474.
   PubMed Web of Science ®Google Scholar
• Wu C-y, Yang C-L, Chuang L-L, et al. Effect of therapist-based versus robot-assisted bilateral arm training on motor control, functional performance, and quality of life after chronic stroke: a clinical trial. Phys Ther. 2012;92(8):1006–1016.
   PubMed Web of Science ®Google Scholar
• Sullivan KJ, Cen SY. Model of disablement and recovery: knowledge translation in rehabilitation research and practice. Phys Ther. 2011;91(12):1892–1904.
   PubMed Web of Science ®Google Scholar
• Roth DL, MacKinnon DP. Mediation analysis with longitudinal data. In: Newsom JT, Jones RN, Hofer SM, editors. Longitudinal data analysis: a practical guide for researchers in aging, health, and social sciences. Routledge; 2012. p. 181–216.
   Google Scholar
• Taub E, Uswatte G, Mark V, et al. The learned nonuse phenomenon: implications for rehabilitation. Eur Medicophysica. 2006;42(3):241.
   PubMedGoogle Scholar
• Whyte J, Dijkers MP, Hart T, et al. The importance of voluntary behavior in rehabilitation treatment and outcomes. Arch Phys Med Rehabil. 2019;100(1):156–163.
   PubMed Web of Science ®Google Scholar
• Bishop M, Chapin MH, Miller S. Quality of life assessment in the measurement of rehabilitation outcome. J Rehabil. 2008;74(2):45–55.
   Web of Science ®Google Scholar
• Steiner WA, Ryser L, Huber E, et al. Use of the ICF model as a clinical problem-solving tool in physical therapy and rehabilitation medicine. Phys Ther. 2002;82(11):1098–1107.
   PubMed Web of Science ®Google Scholar