Abstract
Objectives
To identify the extent of dual task interference between cognitive and motor tasks, (cognitive motor interference (CMI)) in sitting balance during recovery from stroke; to compare CMI in sitting balance between stroke and non‐stroke groups; and to record any changes to CMI during sitting that correlate with functional recovery.
Method
36 patients from stroke rehabilitation settings in three NHS trusts. Healthy control group: 21 older volunteers. Measures of seated postural sway were taken in unsupported sitting positions, alone, or concurrently with either a repetitive utterance task or an oral word category generation task. Outcome measures were variability of sway area, path length of sway, and the number of valid words generated.
Results
Stroke patients were generally less stable than controls during unsupported sitting tasks. They showed greater sway during repetitive speech compared with quiet sitting, but did not show increased instability to posture between repetitive speech and word category generation. When compared with controls, stroke patients experienced greater dual task interferences during repetitive utterance but not during word generation. Sway during repetitive speech was negatively correlated with concurrent function on the Barthel ADL index.
Conclusions
The stroke patients showed postural instability and poor word generation skills. The results of this study show that the effort of verbal utterances alone was sufficient to disturb postural control early after stroke, and the extent of this instability correlated with concomitant Barthel ADL function.
Keywords: postural control, stroke rehabilitation, dual task costs, speech production
Stroke represents an important source of disability among older adults.1 Symptoms often include disruption of movement control and cognitive processing. Multidisciplinary assessment and rehabilitation lead to reduction in disability,2,3 but the extent to which motor and cognitive components of functional ability impact on one another and affect responsiveness to rehabilitation is not yet understood. Motor control is traditionally assumed to be largely automatic during everyday tasks in healthy adults.4 However, dual task studies of motor function and cognitively demanding activity among older people suggest that these tasks compete for attentional resources, leading to mutual interference with poorer dual task performance of one or both activities.5,6,7 Independent control of sitting balance is an important goal of functional recovery after stroke8 but may be affected by concurrent task demands.
This study investigates task interferences in sitting balance control among patients recovering from stroke compared with older adult controls and examines for a relation with clinical measure of functional recovery, the Barthel ADL index.
Methods
Participants
Thirty six patients (mean age 61.6, SD 15.9 years) with recorded postural instability after stroke were recruited from inpatient rehabilitation settings on average 69 (SD 50) days after stroke. Patients were included provided they could give informed consent and perform the word generation task. The fatigue impact scale9 was given at entry (mean 26.9, SD 14.3). Other scores (Barthel ADL index10 mean 12.9, SD 3.7; short orientation‐memory‐concentration test11 22.1, SD 5.8; star cancellation task12 47.3, SD 14.5) were taken from clinical notes. Barthel scores were also collected by telephone one and three months later. Twenty one older adult volunteers (mean age 71.0, SD 7.5years) with no history of neurological illness and MMSE13 score at least 24/30 formed a control group. The study met the criteria of the local research ethics committees and all participants gave informed consent.
Study design
Sitting balance was measured using a modified Balance Performance Monitor, placed on a supporting seat on an adjustable plinth. Participants sat with their feet on the floor, with knees and hips at 90 degrees. Cognitive performance was measured using word category generation.14 Participants were given one of four target categories and asked to supply exemplars for one minute. Score was number of valid English words generated. A second oral condition—repeating the sound “ba” for about eight seconds at a rate of one per second—was included to assess whether spoken output influenced postural control in the absence of cognitive demand. They were given a signal to stop for eight seconds then the cycle was repeated.
Table 1 Results of sitting balance control and word generation.
| Group | Postural control | Word generation | ||||||
|---|---|---|---|---|---|---|---|---|
| Path length (cm) | Variability (RMS cm) | Number of valid words | ||||||
| Still | Words | Ba | Still | Words | Ba | Supported | Unsupported | |
| Stroke | 108.2 (28.7) | 132.9 (42.6) | 128.2 (42.3) | 0.51 (0.35) | 0.67 (0.39) | 0.61 (0.47) | 14.8 (7.4) | 13.8 (6.4) |
| Control | 86.3 (19.3) | 104.0 (25.5) | 86.2 (23.2) | 0.37 (0.12) | 0.79 (0.39) | 0.40 (0.17) | 26.4 (7.0) | 24.1 (5.9) |
Sitting balance includes path length, a measure of the total additive movement during each trial (cm), and variability of sway, which is calculated as the root mean square (RMS) in cm of movement from the initial start point, mapping the total area of movement. Word generation shows the total number of valid English words generated during each one minute trial. All data are averages of testing blocks 1 and 2, data in parentheses shows the standard deviation of these results.
Procedure
During unsupported sitting, participants sat upright, as still as possible, and carried out three tasks: sitting still only; repetitive utterance (“ba”); and category word generation. During “supported” word generation trials the participants rested back into the supporting seat. The four trials were repeated twice in separate testing blocks. Order of task presentation and target category were systematically varied across participants. Each trial lasted for one minute. No patient failed to complete a trial in block 1 but some were too fatigued to attempt all trials in block 2.
Results
Postural control
Two measures of seated postural control are reported: the average change in position from the initial starting point (root mean squared variability of sway) calculated the area of sway movement, and the cumulative movement from start position (path length) calculated how much movement occurred within this area. A 2 (group: stroke, control) ×3 (unsupported sitting tasks: sitting still, repetitive utterance, word generation) ×2 (testing block: block 1, block 2) repeated measures analyses of variance was performed for each posture measure.
Variability of sway
There was no main effect of group but there was a task by group interaction F(2, 110) = 7.49, p<0.01. Post hoc analyses showed that for stroke patients, variability increased during word generation compared with still sitting but not repetitive utterance (p<0.01). The control group showed greater sway variability during word generation than repetitive utterance (p<0.01). There was an effect of testing block for both groups, with increased variability on both axes from block 1 to block 2 for each task condition, F(1, 55) = 22.57, p>0.001, which may represent fatigue.
Path length
This was significantly greater for the stroke group than for controls, F(1, 55) = 13.90, p>0.001 and there were differential effects of task demand, F(2, 110) = 4.24, p>0.05. For the stroke group path length was longer during word generation than sitting still (p<0.001) and during repetitive utterance than sitting still (p<0.001) but there were no differences between repetitive utterance and word generation. For controls, path length increased during word generation compared with sitting still (p<0.01) and to repetitive utterance (p<0.01) but there were no differences between repetitive utterance and sitting still. Path length did not differ between blocks for either group.
Word category generation
Repeated measures analysis of variance examined the effect of sitting support (supported, unsupported) and testing block (block 1, block 2) on number of words generated across groups. The control group generated more words than the stroke group, F(1, 51) = 30.46, p<0.001. All participants generated more words during supported than unsupported sitting, F(1, 51) = 15.70, p<0.001; but there were no differences between blocks.
Proportional dual task costs (pDTC)
The proportional dual task costs (pDTC) between sitting still (baseline) and the unsupported spoken tasks (dual tasks) were calculated. For variability of sway, pDTC during word generation was greater than for repetitive utterance, F(1, 55) = 40.48, p>0.001 for both groups. There was no group difference during the repetitive utterance task, but controls showed greater pDTC than the stroke group (p<0.05) during word generation. For path length, pDTC was greater during word generation than repetitive utterance, F(1, 55) = 20.69, p<0.001 and greater for the stroke group than controls during repetitive utterance (p<0.05) but did not differ significantly between groups during word generation. There was no evidence of increased pDTC between block 1 and block 2 for any measure (fig 1).
Figure 1 Changes to sitting balance stability across sitting conditions. Graph A shows the variability of sway from starting position and graph B shows the average movement measured as path length. Both graphs show the average for each sitting condition; still sitting (US), repetitive utterance (UB), and unsupported word generation (UW). Graphs C and D show the per cent movement change during repetitive speech and word generation compared with sitting still. Graph C shows the difference from baseline conditions measured as proportional dual task cost (pDTC) for variability; graph D shows pDTC for path length. All graphs show movement data for both the stroke and the control groups. The error bars presented in each graph represent SE mean.
Association with ADL
For stroke patients, variability of sway during repetitive utterance correlated significantly with Barthel ADL index at testing (r = −0.41), and at one (r = −0.37) and three (r = −0.43) months later, with less variability being associated with a higher ADL score. Variability of sway during word generation only correlated significantly with ADL at three months (r = −0.42). No other correlations were significant.
Discussion
Stroke patients were generally less stable than controls; postural instability increased significantly during repetitive utterance compared with sitting still, but did not increase further when generating words. The controls showed increased instability during word generation but little effect of repetitive utterance. Spoken output may, therefore, have an important disruptive influence on posture control after stroke, independent of content. Although thinking plus speech did not produce additional decrements for patients, they generated fewer words than controls. This may account for the lack of additional interference from word generation.
Thoracic movements entailed in spoken output may directly disrupt sitting balance15 but there was no evidence to show that sway increased proportionally with number of spoken outputs. Our results suggest a model of attentional interference: any task carried out during unsupported sitting will compete for limited attention resources and result in postural interference.14 Repetitive utterance normally requires fewer cognitive resources than word generation, although sustained attention is necessary for both tasks to maintain an output stream. Competition between the tasks may have overloaded patients' processing resources so they neglected word generation in favour of maintaining postural control. A limitation of this study, however, was that no independent measure of vocabulary ability was available for patients.
Significant negative correlations between sway variability and Barthel ADL scores show that patients with higher Barthel scores had less variable sitting balance than patients with lower scores. This association remained evident three months later, when patients with greater sway variability during repetitive speech and word generation at test still recorded lower Barthel scores. Although these correlations do not predict extent of functional recovery, they do show a relation between functional recovery and dual task ability. Fatigue is a significant problem for stroke patients,16 especially in early stages of recovery and can affect participation in rehabilitative activities. All patients showed greater variability in sitting position during block 2 compared with block 1, which may indicate fatigue. As self reported score on the fatigue impact scale did not reflect the task associated fatigue seen in patients between blocks 1 and 2 of this study, measures of unsupported sitting may provide a better objective measure of fatigue during stroke recovery and may be a suitable tool for measuring recovery of stamina after stroke. We also found a fatigue effect for the controls, which may show the resource demands of this simple task, reinforcing previous cognitive and posture interference studies.17
This study suggests that tasks of low cognitive effort may interfere with posture control after stroke, a finding that has implications for early rehabilitation activities. Further investigations that systematically assess the relative influence of concurrent task demands on motor activity are essential for planning effective rehabilitative motor control tasks for stroke recovery.
Footnotes
Funding: this research was funded by the EPSRC EQPAL initiative; grant number GR/R26979/01.
Competing interests: none declared
References
- 1.Mant J, Wade D, Winner S. Health care needs assessment: stroke. In: Stevens A, Raftery J, Mant J, et al, eds. Health care needs assessment: the epidemiologically based needs assessment reviews. Oxford: Radcliffe Medical Press, 2004
- 2. Stroke Unit Triallists Collaboration. Organised inpatient (stroke unit) case for stroke. Cochrane Library. Issue 1. Chichester: Wiley, 2004
- 3.Wade D T. Selection criteria for rehabilitation services. Clin Rehabil 200317115–118. [DOI] [PubMed] [Google Scholar]
- 4.Mulder T, Nienhuis B, Pauwels J. Prediction of independent mobility following damage to the nervous system. In: Fries W, ed. Ambulante und teilstationäre Rehabilitation von Hirnverletzten. Munich: W Zuckschwerdt Verlag, 1996
- 5.Andersson G, Hagman J, Talianzadeh R.et al Effect of cognitive load on postural control. Brain Res Bull 200258135–139. [DOI] [PubMed] [Google Scholar]
- 6.Maylor E A, Allison S, Wing A M. Effects of spatial and nonspatial cognitive activity on postural stability. Br J Psychol 200192319–338. [PubMed] [Google Scholar]
- 7.Shumway‐Cook A, Woollacott M. Attentional demands and postural control: the effect of sensory context. J Gerontol A Biol Sci Med Sci 200055M10–M16. [DOI] [PubMed] [Google Scholar]
- 8.Wade D T, Wood V A, Hewer R L. Recovery after stroke—the first 3 months. J Neurol Neurosurg Psychiatry 1985487–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Fisk J D, Doble S E. Construction and validation of a fatigue impact scale for daily administration (D‐FIS). Qual Life Res 200211263–272. [DOI] [PubMed] [Google Scholar]
- 10.Collin C.et al The Barthel ADL Index: a reliability study. Int Disabil Stud 19881061–63. [DOI] [PubMed] [Google Scholar]
- 11.Wade D T, Vergis E. The short orientation‐memory‐concentration test: a study of its reliability and validity. Clin Rehabil 199913164–170. [DOI] [PubMed] [Google Scholar]
- 12.Halligan P, Wilson B, Cockburn J. A short screening test for visual neglect in stroke patients. Int Disabil Stud 19901295–99. [DOI] [PubMed] [Google Scholar]
- 13.Folstein M F, Folstein S E, McHugh P R, “Mini‐mental state” A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 197512189–198. [DOI] [PubMed] [Google Scholar]
- 14.Haggard P, Cockburn J, Cock J.et al Interference between gait and cognitive tasks in a rehabilitating neurological population. J Neurol Neurosurg Psychiatry 200069479–486. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Yardley L, Gardner M, Leadbetter A.et al Effect of articulatory and mental tasks on postural control. Neuroreport 199910215–219. [DOI] [PubMed] [Google Scholar]
- 16.Ingles J L, Eskes G A, Phillips S J. Fatigue after stroke. Arch Phys Med Rehabil 199980173–178. [DOI] [PubMed] [Google Scholar]
- 17.Redfern M S, Jennings J R, Martin C.et al Attention influences sensory integration for postural control in older adults. Gait Posture 200114211–216. [DOI] [PubMed] [Google Scholar]

