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Volume 89, Issue 5, Pages 851-855 (May 2008)


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The Effects of Task Complexity on Brake Response Time Before and After Primary Right Total Knee Arthroplasty

Carlos J. Marques, MSc, PTadCorresponding Author Informationemail address, Jan Cabri, PhDa, João Barreiros, PhDb, Ana I. Carita, PhDc, Christian Friesecke, MDe, Jochen F. Loehr, MDe

Abstract 

Marques CJ, Cabri J, Barreiros J, Carita AI, Friesecke C, Loehr JF. The effects of task complexity on brake response time before and after primary right total knee arthroplasty.

Objective

To study the effects of an increase in task complexity on brake response time (BRT) in patients undergoing total knee arthroplasty (TKA).

Design

A prospective repeated-measures design was used. The measurements took place 1 day before and 10 and 30 days after surgery.

Setting

Clinic.

Participants

The data of patients (N=21) who were admitted for primary total arthroplasty of the right knee were pooled for analysis.

Interventions

On each measurement day patients performed 5 practice and 10 test trials for 2 tasks (1 simple, 1 complex) in a car simulator. Task complexity was increased by adding a second movement to the first task performed.

Main Outcome Measures

BRT, reaction time (RT), and movement time were assessed.

Results

An increase in task complexity increased BRT, RT, and movement time at all measurement times. Right TKA increased BRT by increasing movement time. Thirty days after surgery BRT was no longer increased compared with preoperative values in both tasks.

Conclusions

Task complexity consistently increased BRT and its components. The effects of task complexity remained constant throughout the 3 measurements. After right TKA, we suggest patients should be advised to wait 30 days after surgery before resuming driving.

Article Outline

Abstract

Methods

Study Design

Participant Selection

Study Sample

Equipment

Procedures and Tasks

Data Analysis

Results

Discussion

Study Limitations

Conclusions

Acknowledgment

References

Copyright

BRAKE RESPONSE TIME (BRT) is an important parameter in traffic accident prevention research and analysis. It can be fractionated into reaction time (RT)—the time required for central aspects related to information perception, processing, and decision making—and movement time, which is the time necessary to execute the movement of transferring the foot from the accelerator to the brake pedal. There are human factors that influence BRT such as the age1 and vision2, 3, 4 of the driver, environmental factors like the pedal layout in the car5, 6 or the type of brake lamps used,7 and task-related factors such as the performance of dual tasks while driving. In studies8, 9, 10, 11, 12 for which subjects performed a dual task while driving, RT increased in the dual-task condition. The increase in RT caused by the dual task seems to be related to the cognitive load demanded by the secondary task and the visual processes required—for example, a change of the attention focus of the driver from the outside to the inside environment.

The effects of lower-limb surgery on BRT were the subject of several studies in the past.13, 14, 15, 16, 17, 18, 19, 20, 21 All the studies used car simulators and simple RT tasks to measure the change in BRT after surgery and to find out the point in time when a patient's BRT values returned to normative or baseline values. Studies14, 18 that assessed the 2 BRT components, RT and movement time, confirmed that lower-limb surgery had degrading effects on movement time but not on RT. That is, lower-limb surgery affects peripheral neuromuscular processes related to executing the movement of transferring the foot from the accelerator to the brake pedal. The number of trials performed by patients in those studies ranged from 314 to 18.18

In this study, we also used a car simulator to assess BRT and its components, RT and movement time, in patients who were admitted for primary total knee arthroplasty (TKA) to find answers to the following questions: (1) Does task complexity increase BRT, RT, and movement time? (2) When do patients return to their preoperative BRT values?

Methods 

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Study Design 

To study the effects of task complexity on BRT, a prospective study with repeated-measures design was used. On each measurement day, patients performed a series of 10 trials in a simple and a further series of 10 trials in a complex BRT task. Task complexity was increased by adding a second task to the first task performed. The measurements took place 1 day before and 10 and 30 days after TKA.

Participant Selection 

Subject selection took place at the ENDO-Klinik in Hamburg, Germany. To be eligible, all subjects had to meet 3 criteria: (1) was admitted for primary total arthroplasty of the right knee, (2) drove frequently (at least once a week), and (3) would be available for the third measurement. Patients who could not fulfill one of these requirements or who had a neurologic disease were excluded. Before participating all patients were required to read and sign an informed consent form. The research proposal was approved by the Medical Ethics Commission of the Federal State of Hamburg.

Study Sample 

Twenty-seven patients (13 men, 14 women) admitted for primary total arthroplasty of the right knee agreed to participate in the study and were assessed before and 10 days after surgery. Twenty-one of them returned to the clinic 30 days after surgery to be assessed for the third time. Six patients did not return for the third test for unknown reasons.

The data of 21 patients (9 men, 12 women) were pooled for analysis. The patients' ages ranged from 57 to 85 years; the mean age for the sample was 69.1±7.8 years (table 1). Before surgery, there was no significant difference (P=.85) between the mean ages of the men and women. The total driving load during the previous year did not differ significantly (P=.19) when comparing both sexes. All patients were admitted for primary right TKA as a result of osteoarthritis of the knee joint. A rotational knee system prosthesis was used in 7 (33.3%) patients, and a bicondylar sled prosthesis was used in 14 (66.7%) patients. Gait training commenced on the second postoperative day with weight bearing as tolerated.

Table 1.

Demographic Data

Variables
Right TKA
AllMenWomen
n21912
Age (y)69.1±7.869.5±7.468.9±8.4
Kkm/y8.2±4.49.6±3.27.1±4.9
Height (cm)167.8±9.5176.1±7.9161.6±4.7
Weight (kg)78.9±11.586.2±11.673.4±8.1

NOTE. Values are mean ± standard deviation (SD).

Abbreviation: Kkm/y, thousand kilometers driven in the past year.

Equipment 

The components of the BRT (RT and movement time) were assessed in a car simulator. The car simulator (fig 1) and the pedal layout (fig 2) were built by the technical department of the clinic. The ergonomic distances between the components of the simulator (seat to steering wheel, seat to pedals, steering wheel to simulator floor) were based on European standards. The seat was adjustable in the frontal plane (closer to or farther away from the pedals) and in the transversal plane (higher from or lower to the floor).


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Fig 1. Car simulator with the Biopac measurement system.



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Fig 2. Pedal layout: front view (I) with (A) the accelerator and (B) the brake pedal sizes and lateral separation. Side view (II) with the inclination of the pedals and the positive perpendicular separation of the brake pedal.


The data acquisition system consisted of a Biopac MP100A-CE system with the universal interface module UIM100C,a 1 laptop with the Acqknowledge software, version 3.8.1,a 1 red light-emitting diode (LED) lamp located at patients' eye levels, and 1 trigger and switches on the accelerator and brake pedals. Four analog channels were used, and the channel sample rate was set at 1000Hz.

Procedures and Tasks 

After sitting down in the car simulator, patients were required to adjust the seat to a comfortable position. On each measurement day, patients performed 5 practice and 10 test trials for 2 tasks, a simple and a complex BRT task. In the simple task, patients were instructed to press the accelerator pedal as if they were driving (fig 3A). When the red LED lamp switched on, patients had to brake as quickly as possible (fig 3B). After pressing the brake pedal, patients were instructed to move the foot back to the accelerator and to wait for the next stimulus. Stimulus triggering varied randomly from 1 to 5 seconds. In the complex task, patients were instructed to perform the same way as in the first task. In addition, they were instructed to turn the steering wheel 90° to the left simultaneously with the foot brake action (fig 4). The complexity of the task was increased by adding a second movement. Both movements had to be performed simultaneously.


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Fig 3. Overview of the pedal with (A) the right foot pressing the accelerator and (B) the foot pressing the brake pedal.



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Fig 4. Steering wheel positions in the complex task: (A) start position and (B) end position.


RT was defined as the time interval between the lighting of the LED lamp and initiation of foot movement. Movement time was defined as the time between initiation of foot movement and first contact with the brake pedal. BRT was defined has the sum of the RT and movement time.

Data Analysis 

The 10 test BRT trials of each task were filtered using a 95% confidence interval of the mean. The trials outside the interval were eliminated, and the mean BRT, RT, and movement time were calculated for each patient at each time interval for analysis.

Descriptive statistics of the sample were performed. Differences between the values in both tasks at each moment in time were analyzed with paired-sample t tests. Differences in mean BRT, RT, and movement time values at the 3 points in time were analyzed with a univariate approach to repeated-measures analysis of variance for each task separately. Multiple comparisons were made with paired t tests using the Bonferroni adjustment of α.

All statistical tests were carried out using the SPSS software.b For all statistical tests, the .05 level of probability was accepted as the criterion for statistical significance.

Results 

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Mean BRT, RT, and movement time values for patients in both tasks are presented in table 2. BRT increased with the increase in task complexity at all 3 measurement times (fig 5). The increase was significant before surgery (P=.05) and 30 days after surgery (P<.01). RT also increased with an increase in task complexity, but the increase was significant only at 30 days (P=.02) (fig 6). Movement time increased as well with an increase in task complexity at all 3 times. The increase was significant before surgery (P<.01) and 30 days (P=.02) after surgery (fig 7).

Table 2.

Values of the Dependent Variables BRT, RT, and Movement Time

Measurement
Simple BRT Task
Complex BRT Task
FirstSecondThirdFirstSecondThird
BRTAll420.4±76.3458.3±86.6427.6±50.6441.0±70.8476.4±106.2455.4±69.8
Men398.7±23.3453.1±65.0422.6±33.5428.1±43.4469.2±73.1434.1±31.3
Women436.6±97.6462.2±102.6431.3±61.7450.6±86.7481.9±128.6471.5±86.6
RTAll245.2±48.1237.7±35.1230.3±37.9250.3±48.6248.5±56.7246.2±46.7
Men228.4±27.2245.8±37.5227.8±22.9252.3±38.2255.6±37.6236.5±23.0
Women257.9±57.1231.5±33.6232.2±42.6248.9±56.7243.1±68.9253.5±58.8
MTAll174.7±41.9219.1±64.8196.7±38.2190.0±43.8227.4±62.2211.1±50.3
Men169.7±24.7206.8±42.4194.4±26.7175.2±26.5213.3±53.7197.1±30.5
Women178.5±52.1228.4±78.2198.5±46.2201.0±51.7238.0±68.6221.6±60.3

NOTE. Values are mean milliseconds ± SD.

Abbreviation: MT, movement time.


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Fig 5. Mean BRT values across the 3 measurements: simple versus complex task. *Significant difference.



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Fig 6. Mean RT values across the 3 measurements: simple versus complex task. *Significant difference.



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Fig 7. Mean movement time (MT) values across the 3 measurements: simple versus complex task. *Significant difference.


TKA increased movement time and consequently BRT. For the simple task, we found significant differences between the BRT means (F=5.12, P=.01) and movement time means (F=9.8, P=.00), but no significant differences, between the RT means (F=1.23, P=.30) across the 3 measurement times. The BRT increased significantly (P=.04) from the first to the second measurement (9.01%). Thirty days after surgery, BRT was 1.7% longer than the preoperative values, but the difference was not significant (P>.05). Movement time increased significantly (P<.01) at 10 days, and 30 days after surgery it was still significantly increased (P=.04) compared with preoperative values.

The analysis of the complex task gave similar results. We found no significant differences (F=2.9, P=.06) between the BRT means but found significant differences (F=6.9, P<.01) between the movement time means across the 3 measurements. BRT was significantly increased (7.9%) at 10 days (P=.05) but was no longer significantly increased (0.9%) at 30 days after surgery compared with baseline (P=.90). Movement time was significantly increased at 10 days (P<.01), and at 30 days after surgery it was no longer increased (P=.20) compared with the preoperative values of the patients for the same task. There were no significant differences between the RT means across the 3 measurements (F=.09, P=.90).

Discussion 

return to Article Outline

TKA reduces pain and enhances function in patients with knee impairments resulting from osteoarthritis or rheumatoid arthritis. After surgery many patients ask when they can safely return to automobile driving.

BRT is an important factor in accident prevention because it is related to the total stopping distance of the vehicle; therefore, it is used in accident prevention research to assess the psychomotor performance of drivers.

In a systematic search of the literature, we found 2 studies14, 21 on BRT changes after TKA. Both studies used simple RT tasks, but the components of BRT, RT, and movement time were assessed in only one of the studies.14

In the present study, the effects of TKA on BRT, RT, and movement time were investigated in a car simulator with patients performing 2 tasks, 1 simple and 1 complex. The effects of task complexity and the effects of TKA on BRT, RT, and movement time were investigated.

Based on our data, an increase in task complexity prolonged BRT at all 3 measurement times. This was due to an increase in RT and also in the movement time. In view of the reports in the literature, we expected RT to increase with an increase in task complexity. An early RT study22 showed that the time required to make a decision increases with an increase in the complexity of the movement to be initiated. This observation has also been reported by other researchers.23, 24 Our findings confirm this tendency. An increase in task complexity prolonged RT by 5.1% before surgery, 10.8% at 10 days, and 15.9% at 30 days. The increase was significant (P<.01) only at 30 days after surgery.

Movement time was also strongly affected by an increase in task complexity. It increased by 15.3% before surgery, 8.3% at 10 days, and 14.4% at 30 days. The increase was significant both before surgery (P=.02) and at 30 days (P<.01). We think this might be (1) related to the fact that patients performed with a strongly degenerated knee (before surgery) and with a strongly impaired quadriceps muscle (after surgery) and (2) because of the neuromuscular fatigue caused by the large number of trials they had to perform: 5 practice and 10 test trials on each task (in total 30 trials at each measurement time).

Taking into account that the simple task (moving the foot from the accelerator to the brake pedal) was repeated exactly the same way while performing in the complex task, the addition of the upper-limb movement (turning the steering wheel 90° to the left) might have had a side effect on the lower-limb movement. This could be another possible explanation for this finding.

Right TKA affects movement time of the right leg and consequently BRT. RT remained practically unchanged for all 3 measurements in both tasks. This concurs with the results of previous studies.14, 18

Our data suggest that after right TKA, patients should be advised to wait at least 4 weeks after surgery before resuming driving, because BRT in both tasks was no longer significantly increased at 30 days compared with preoperative values. Our findings differ from the results of an earlier study14 on this issue, in which Spalding et al14 reported that patients should not drive for at least 8 weeks after surgery. However, the second study21 reported that BRT returned to preoperative values 3 weeks after surgery and had improved to over baseline values at 6 weeks, suggesting that our results corroborate these findings.

The pattern of variation across the 3 measurements was very similar for all variables when comparing both tasks, with longer performance times in the complex task.

Study Limitations 

Use of an age-matched control group would have been interesting to (1) find out whether movement time would increase with an increase of task complexity in subjects without impairment and (2) situate the performance of patients in the sample in the context of a normative population.

Patients participating in our study did not resume driving during the measurement period, because they were advised not to drive during the first 3 months after TKA (standard advice for all patients in the hospital). It would have been interesting to have data on the exact time when these patients did, in fact, resume driving.

The data and results of this study must be seen in the context of the population studied. Patients not represented in the sample—for example, those after revision arthroplasty—may have other values. The results of the present study can be used as a reference when advising patients on this issue; they should not be used as deadlines for resumption of driving after primary TKA.

Conclusions 

return to Article Outline

BRT increased after TKA because of an increase in the movement time. Thirty days after surgery BRT was no longer increased compared with preoperative values, suggesting that patients can safely resume car driving after this period. BRT increased with an increase in task complexity. The pattern of BRT change across the 3 measurements does not change with an increase in task complexity.

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Acknowledgments 

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We thank Klaus Rippe, of the Technical Department at the ENDO-Klinik, for the conception of the car simulator; and Alexander Greiner, PT, Ulrike Tillmann, PT, Veito Kaul, PT, and Inken Hansen, PT, of the Physical Therapy and Rehabilitation Department at the ENDO-Klinik for their invaluable assistance.

References 

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a Center for Research in Physiotherapy, Faculty of Human Movement Studies, Technical University of Lisbon, Lisbon, Portugal

b Human Motor Performance Research Center, Faculty of Human Movement Studies, Technical University of Lisbon, Lisbon, Portugal

c Mathematic Methods Department, Faculty of Human Movement Studies, Technical University of Lisbon, Lisbon, Portugal

d Department of Physical Therapy and Rehabilitation, ENDO-Klinik Hamburg, Hamburg, Germany

e Department of Orthopedic Surgery, ENDO-Klinik Hamburg, Hamburg, Germany.

Corresponding Author InformationReprint requests to Carlos J. Marques, MSc, PT, Physical Therapy and Rehabilitation Department, ENDO-Klinik Hamburg, D-22767 Hamburg, Germany

 Supported by the Gemeinnütziger Verein ENDO-Klinik eV.

 No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the author(s) or upon any organization with which the author(s) is/are associated.

a Biopac Systems Inc, 42 Aero Camino, Goleta, CA 93117.

b SPSS Inc, 233 S Wacker Dr, 11th Fl, Chicago, IL 60606.

PII: S0003-9993(08)00107-X

doi:10.1016/j.apmr.2007.10.025


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