ABSTRACT
Background
People with Parkinson's disease (PD) have often compromised walking and balance. This may be the result of the impaired lower limb tactile and proprioceptive sensation. Existing clinical measures may not be sufficiently sensitive to uncover these sensory impairments.
Objective
To determine whether novel measures of lower limb somatosensory discrimination are psychometrically robust and associated with mobility outcomes in people with PD.
Methods
Lower limb somatosensation was assessed on 2 occasions, 3 to 7 days apart, using the following 3 novel tests: gradient discrimination, roughness discrimination, and step height discrimination. Static and dynamic balance (Brief Balance Evaluations Systems Test), falls incidence, falls confidence (Falls Efficacy Scale), and gait (speed and step length) were also obtained. The participants were 27 people with PD and 27 healthy controls.
Results
Novel tests showed good to excellent intrarater reliability (intraclass correlation coefficient = 0.72–0.92). Significantly higher gradient and step height discrimination thresholds (P < 0.01) were demonstrated in the participants with PD when compared with the healthy controls, indicating worse position sense at the ankle, knee, and hip. Significant correlations were identified between gradient discrimination and falls incidence (r = 0.55), falls confidence (r = 0.44), and balance (r = 0.63), but not gait (r = 0.21). Step height discrimination was significantly correlated with balance (r = 0.54). Foot roughness discrimination was not significantly different between people with PD and healthy controls and was not significantly correlated with mobility measures (P > .05).
Conclusion
These novel tests are psychometrically robust and identify impaired lower limb position sense, which was associated with balance and falls in this sample of PD patients. Interventions targeting somatosensory processing in PD may improve aspects of balance and reduce falls risk. Further research is warranted.
Keywords: Parkinson's disease, somatosensory, outcome measure, lower limb, mobility
Parkinson's disease (PD) is the second‐most common neurodegenerative disease after dementia.1 It is a progressive neurological condition characterized by both motor and nonmotor symptoms with many clinical symptoms related to difficulties with movement. Such difficulties often lead to postural instability, reductions in walking ability, and impaired balance, which negatively impact participation in activities of daily living, quality of life, and falls.2, 3
The view that movement difficulties in people with PD are attributable purely to motor deficits has been challenged in recent years by evidence of impaired processing and integration of somatosensory information.4 Tactile and proprioceptive sense, referred to as somatosensation, arise from sensory receptors in skin, joints, tendons, and muscles providing feedback of an individual's body position, body and limb motion, and interaction with the environment.5 Studies have shown people with PD to have deficits in somatosensory processing, such as elevated thresholds to spatial and temporal stimuli,4 diminished proprioceptive and position sense awareness,6, 7 and impaired haptic sensation.8 Moreover, when visual feedback cannot be used, people with PD lack precision in their stepping,9 show greater errors in obstacle clearance,10 and have greater difficulty controlling postural orientation on the basis of available somatosensory and vestibular information when compared with healthy controls.11 Unsurprisingly, deficits in lower limb proprioception are significantly associated with falls incidence in people with PD.7 It is feasible to posit that sensory deficits may contribute to many of the movement and balance difficulties that are the hallmark of PD. Accurately identifying and quantifying the severity of lower limb somatosensory abnormalities and, crucially, how they are associated with activity and participation limitations represents an important goal to inform rehabilitation interventions.
Several measures of somatosensory function have been evaluated and reviewed12 in neurological populations, with the Erasmus MC modified Nottingham Sensory Assessment (EmNSA),13 and the sensory scale of the Fugl‐Meyer Assessment14 suggested to provide the best balance of clinical utility and psychometric robustness.12 Those measures, however, have been widely criticized for largely assessing the detection of stimuli—the lowest level of sensory processing15—not providing functionally meaningful somatosensory data, and being insufficient for uncovering the complexities of somatosensory perception.4, 16, 17 Furthermore, they have not been evaluated in people with PD. A recent review of proprioception assessment methods18 highlights a concerning paradox: measures that possess clinical utility lack accuracy, whereas those that possess accuracy lack clinical utility. More complex tests of tactile sensation and proprioceptive function such as matching one or more standardized sensations to another, integrating sensation with motor output or distinguishing the temporal or spatial qualities of 2 stimuli have been shown to uncover somatosensory dysfunction in PD yet are largely limited to the laboratory setting.4, 6 In response to the perceived shortcomings of the existing clinical measures, we developed the following 3 novel and functionally oriented tests of somatosensory discrimination: the Foot Roughness Discrimination Test (FoRDT), the Step Height Discrimination Test (StepDT), and the Gradient Discrimination Test (GradDT). These functionally oriented tests have been described and evaluated previously in a stroke population,19, 20 showing superior psychometric properties to the clinically feasible and psychometrically robust sensory measure, the EmNSA.13 To date, however, our novel tests have not been evaluated in people with PD.
The aim of this study was to evaluate the psychometric properties of these novel somatosensory measures in people with PD and report on their associations with clinical measures of gait, balance, and falls. The specific objectives were to evaluate intrarater reliability of the novel measures and convergent and known group validity. Furthermore, we explored the association between our novel measures with functional measures of gait, balance, and falls in people with PD.
Method
Participants
We recruited a convenience sample of 27 people with PD and 27 age‐matched, healthy controls. People with PD were identified through local branches of Parkinson's UK (a U.K. charity) and healthy age‐matched controls were recruited through the University of the 3rd Age (a U.K. volunteer‐led organization providing educational and leisure opportunities to retired/semiretired individuals). Inclusion criteria were ability to provide informed consent, walk 10 meters unsupervised (with or without a walking aid), and have no have significant cognitive impairment (≥24/30 Mini Mental State Examination)21 or comorbidities known to affect somatosensation (eg, diabetic neuropathy). The age‐matched control participants were included providing they had no pathological conditions known to affect balance, mobility, or sensation. Sample size calculations22 indicated a sample size ≥27 per group was sufficient for a 95% confidence interval of 0.25 and a planned intraclass correlation coefficient (ICC) of 0.8 (α = 0.05), detecting a correlation coefficient of 0.29 (power = 0.85, α = 0.05) and an effect size of 0.79 (power = 0.85, α = 0.05).
Procedures
Ethical approval was obtained from the University of Plymouth, Faculty of Health and Human Sciences Research Ethics Committee (reference 17/18‐86). The participants with PD (n = 27) were tested with the novel sensory measures on 2 occasions, between 3 to 7 days apart at the same time of day and in their self‐reported on state, that is, the state in which they felt they were optimally responsive to their medication. The first author was the rater on test sessions 1 and 2. The control participants (n = 27) were tested with the novel measures on only 1 occasion.
Participant demographic characteristics (age, gender) and, in the case of participants with PD, time since diagnosis and upper and lower limb motor function (Movement Disorder Society–Unified Parkinson's Disease Rating Scale motor score part III23) were collected. Alongside the somatosensory tests a range of different health constructs were measured as described next.
Outcome Measures
The EmNSA13 was used to determine the convergent validity of our novel tests. It is considered to be a psychometrically robust and clinically feasible assessment tool12 involving the assessment of exteroceptive sensation (light touch, pressure touch, and pin‐prick), higher cortical discriminatory sensation (sharp‐blunt), and proprioception (movement detection and discrimination).
The GradDT evaluates sensory–perceptual ability to discriminate underfoot surface gradient or slope during standing. It has been described previously and shown to be reliable and valid in a stroke population.20 It uses a 2–alternative forced choice paradigm,24 in which 2 differing sloping platforms, a base and a comparator, are mentally compared (discriminated). The test procedure involves participants standing on a series of adjustable sloping platforms until a discrimination threshold is reached (ie, the point at which the participant cannot discriminate between 2 different slopes). This provides a discrimination threshold in degrees. The test takes 7 to 10 minutes to complete.
The StepDT uses the 2–alternative forced choice paradigm approach as detailed previously and has been described and psychometrically evaluated previously in stroke.20 This test assesses an individual's ability to discriminate the height of a step, through lower limb position sense, without visual feedback. The test involves the passive placement of the test limb onto a series of adjustable steps. The 2–alternative forced choice paradigm test procedure involves increasingly difficult trials until the point at which the individual cannot consistently discriminate which of the 2 presented steps is highest. This provides a discrimination threshold in centimeters.
The FoRDT, described and evaluated previously,19 assesses the haptic tactile sensory ability of the plantar aspect of the foot. It comprises a series of textured foot plates, each with standardized and quantifiable gratings. The test involves the haptic exploration of underfoot textured plates in a series of increasingly difficult trials until a roughness discrimination threshold is reached (ie, the point at which the participant cannot discriminate between 2 textures). The gratings are expressed as spatial intervals (ie, the distance between measured in micrometers [1 μm = 1/1000 mm]). The larger the spatial interval, the rougher the surface is perceived to be up to a point between 3000 and 3500 μm.25 This provides a roughness discrimination threshold in micrometers.
These discrimination tests are undertaken with the participant in standing to reflect, as near as possible, real‐life foot–ground sensorimotor interactions. Upper limb support was provided for safety and to aid participants with balance/weight transfer. The participants were asked to look straight ahead and avoid looking down at their feet during the testing procedure. In each test, a greater discrimination threshold indicates worse somatosensory ability.
Measures of Balance, Gait and Falls
The Brief Balance Evaluation Systems Test (Brief BESTest)26 is an 8‐item test developed from the original BESTest27 and assesses the following 6 subsystems of static and dynamic balance control: biomechanical constraints, stability limits/verticality, anticipatory postural responses, postural responses, sensory orientation, and stability in gait. Administration time is less than 10 minutes, making it feasible to use in clinical practice, and concurrent and convergent validities have been demonstrated in individuals with PD.28
The 10 Meter Walk Test29 was used to assess gait speed (comfortable walking speed using a rolling start) and stride length calculated in meters per second and steps per meter, respectively. The 10 Meter Walk Test is recommended for use in assessing gait speed in patients with PD.30
Falls Incidence
Falls data were collected through participant retrospective recall for the previous 3‐month period. This is recommended as a simple and effective starting point for establishing falls history.31 We used the following well‐accepted definition of falls: “an unexpected event in which the participant comes to rest on the ground, floor, or lower level.”32
Fear of Falling
Fear of falling was measured using the Falls Efficacy Scale–International,33 a 16‐item self‐report tool, which measures an individual's level of concern about falling during social and physical activities inside and outside the home. Higher scores indicate greater fear of falling, which is associated with future falls, activity limitations, and reduced quality of life in PD.34
Statistical Analysis
Statistical analyses were performed using SPSS version 22.0 (IBM Corp., Armonk, NY). Data were summarized using frequencies and percentages, means and standard deviations, or median and interquartile range as appropriate. Data distribution was assessed for normality using Shapiro‐Wilks tests and assumed normally distributed when P > 0.05. Data presented for the GradDT, StepDT, and FoRDT represent discrimination thresholds expressed in the original measurement units. Larger discrimination thresholds indicate worse sensory function.
Necessary assumptions in reliability testing were accounted for, which included stability between testing sessions of participant sensory function and consistency in the testing situation (environment, test procedure, medication, and time of day). Intrarater reliability were analyzed using ICC model 2,1, consistent with the Guidelines for Reporting Reliability and Agreement Studies.35 Standard error of measurement provided an indication of the score likely the result of measurement error. Coefficient of repeatability (CoR), a measure of absolute reliability, provided a score change (in the original measurement scale) that included random and measurement errors, so any score above CoR reflected true/real change or the smallest real difference.36 It was calculated by multiplying the standard error of measurement by 2.77 (√ 2 × 1.96).36
The sensory performance of the lower limbs of the participants with PD and the matched healthy controls allowed for an evaluation of known group validity. A Mann‐Whitney U test was used to determine statistical significance between the groups (P < 0.05) as data for each sensory measure was not normally distributed. Effect size (Cohen's d) was calculated to show the size of any difference using a standardized formula37 and interpreted using Cohen's38 criteria of 0.1 = small effect, 0.3 = medium effect, and 0.5 = large effect. Convergent validity was evaluated by comparing our novel tests with the EmNSA with the magnitude of the relationship determined using a Spearman's rank order correlation. The magnitude of the relationship between our novel measures of somatosensation and measures of gait, falls, and dynamic balance were evaluated using Spearman and Pearson correlational analysis where appropriate. Strength of correlations were interpreted using the classification where ≤0.29 indicated weak, 0.30 to 0.49 indicated moderate, and ≥0.50 indicated strong.38
Results
Demographic and Clinical Characteristics
A total of 54 people, 27 people with PD (mean age 71 ± 5.8 years, male/female = 19/8) and 27 age‐matched healthy adults (mean age 70 ± 7 years, male/female = 17/10) were recruited. Patients with PD had a mean Movement Disorder Society–Unified Parkinson's Disease Rating Scale motor score part III of 30.11 ± 14.7 (Table 1)
Table 1.
PD and control participant demographic and clinical characteristics
| Characteristic | PD, n = 27 | Control, n = 27 |
|---|---|---|
| Age, y, mean (SD) | 71 (5.8) | 70 (7.0) |
| Gender, n (%) | ||
| Male | 19 (70.4) | 17 (62.9) |
| Female | 8 (29.6) | 10 (37.1) |
| Time since diagnosis, y, mean (SD) | 5.7 (4.9) | ‐ |
| Hoehn & Yahr stage, n (%) | ||
| 1 | 3 (11.1) | – |
| 2 | 14 (51.9) | – |
| 3 | 9 (33.3) | – |
| 4 | 1 (3.7) | – |
| MDS‐UPDRS score, mean (SD) | 30.1 (14.7) | |
| Number of falls reported, n (%) | ||
| 0 | 12 (44.4) | 20 (74) |
| 1 | 3 (11.1) | 4 (15) |
| 2 | 2 (7.4) | 3 (11) |
| 3 | 4 (14.8) | 0 |
| >4 | 6 (22.3) | 0 |
PD, Parkinson's disease; SD, standard deviation; MDS‐UPDRS, Movement Disorder Society–Unified Parkinson's Disease Rating Scale.
Intrarater Reliability
Test–retest reliability of the novel measures is shown in Table 2. Good to excellent mean ICC values were demonstrated in each novel test (ICC = 0.72–0.92). Wide 95% confidence intervals in the foot roughness and step height discrimination tests were demonstrated. CoR scores (ie, random and measurement errors) in the GradDT represented 37% of the baseline score, 68% in the FoRDT, and 55% in the StepDT. Higher scores represent larger random and measurement errors.
Table 2.
Intrarater reliability of novel sensory measures
| Intrarater Reliability, Parkinson's, n = 27 | ||||||
|---|---|---|---|---|---|---|
| Measure | T1 | T2 | Mean T1 & T2 | SEM | ICC(2,1) (95% CI) | CoR |
| GradDT threshold degrees, mean (SD) | 2.4 (1.2) | 2.2 (1.0) | 2.3 (1.1) | 0.31 | 0.92 (0.82–0.96)* | 0.85 |
| FoRDT threshold μm, mean (SD) | 480 (240) | 520 (210) | 500 (235) | 124 | 0.72 (0.38–0.87)* | 340 |
| StepDT threshold cm, mean (SD) | 1.8 (0.9) | 1.9 (0.7) | 1.8 (0.7) | 0.36 | 0.73 (0.40–0.88)* | 1.0 |
P < .001.
T1, test 1; T2, test 2; SEM, standard error of measurement; ICC(2,1), intraclass correlation coefficient model 2,1; CI, confidence interval; CoR, coefficient of repeatability; GradDT, Gradient Discrimination Test; SD, standard deviation; StepDT, Step‐height Discrimination Test; FoRDT, Foot Roughness Discrimination Test.
Known Groups Validity
The participants with PD performed worse on sensory measures when compared with the healthy controls, indicating worse somatosensory function in the lower limbs (Table 3). A Mann‐Whitney U test revealed significant differences in the gradient discrimination thresholds of PD (median = 2.5°) and healthy controls (median = 1.4°, U = 179, z = −3.86, P < 0.001, r = 0.52). Foot roughness discrimination thresholds in PD (median 400 μm), although higher than healthy controls (median = 300 μm), were not significantly different (U = 353, z = −1.207, P = 0.22, r = 0.16). Step height discrimination thresholds were significantly different between PD (median = 1.8 cm) and healthy controls (median = 1.2 cm, U = 209, z = −3.478, P = 0.001, r = 0.47). EmNSA tactile sensation scores in the PD patients (median = 64) were not significantly different from the healthy controls (median = 62, U = 399, z = −0.533, P = 0.59, r = 0.07). EmNSA proprioception scores were also not significantly different between the patients with PD (median = 16) and the healthy controls (median = 16, U = 392, z = −1.013, P = 0.31, r = 0.13).
Table 3.
Comparison of sensory performance between PD patients and healthy controls
| Sensory Measure | PD, n = 27 | Control, N = 27 | P | Effect Size d |
|---|---|---|---|---|
| GradDT threshold degrees, median (IQR) | 2.5° (1.75°–5.5°) | 1.4° (1.1°–2.5°) | <0.001 | 0.52 |
| FoRDT threshold μm, median (IQR) | 400 (400–900) | 300 (325–850) | 0.22 | 0.16 |
| StepDT threshold cm, median (IQR) | ||||
| 1.8 (1.2–3.0) | 1.2 (0.6–1.8) | 0.001 | 0.47 | |
| EmNSA score, median (IQR) | ||||
| Tactile sensation (0–64) | 64 (7–15) | 62 (4–13) | 0.59 | 0.07 |
| Proprioception score (0–16) | 16 (0–2) | 16 (0–2) | 0.31 | 0.13 |
PD, Parkinson's disease; GradDT, Gradient Discrimination Test; FoRDT, Foot Roughness Discrimination Test; StepDT, Step‐height Discrimination Test; EmNSA, Erasmus modified version of Nottingham Sensory Assessment; IQR, interquartile range.
Using the EmNSA sensory measure, 55% of people with PD (n = 15/27) scored the maximum score (64/64) on the tactile sensation component (range 49–64). In the proprioception component of the EmNSA, 81% (n = 22/27) of people with PD scored maximally (ie, 16/16) comparable with the performance of the healthy controls (88%, n = 24/27). In the novel measures, no single person with PD nor a control participant scored the maximum or minimum.
Convergent Validity
To evaluate convergent validity, the strength of the associations between the novel measures and an existing measure of tactile and proprioceptive sensations, the EmNSA, were evaluated (Table 4). The FoRDT showed a moderate and significant inverse correlation (r = −0.45, P < 0.05) with the tactile component of the EmNSA. As tactile discrimination thresholds increased, scores on the EmNSA fell, indicating worse tactile sensation. No other significant correlations were demonstrated between our novel measures and the tactile or proprioception components of the EmNSA (r = 0.11–0.28, P > 0.05).
Table 4.
Spearman rank order correlation coefficients between novel measures and EmNSA
| EmNSA Sensory Modality | ||
|---|---|---|
| Sensory Measure | Tactile Score | Proprioception Score |
| GradDT | −0.25 | −0.21 |
| StepDT | −0.29 | −0.28 |
| FoRDT | −0.45* | −0.11 |
P < 0.05.
EmNSA, Erasmus MC modified Nottingham Sensory Assessment; GradDT, Gradient Discrimination Test; StepDT, Step Height Discrimination Test; FoRDT, Foot Roughness Discrimination Test.
Associations Between Novel Measures and Balance, Gait, and Falls
Gradient discrimination as measured with the GradDT showed the strongest correlations with functional measures of falls and balance (Table 5). A significant and strong inverse relationship between the GradDT and Brief BESTest (r = −0.63, P < 0.01) indicated that those with higher gradient discrimination thresholds (ie, worse position sense) had lower scores on the Brief BESTest (ie, worse balance performance). The GradDT also showed a strong positive correlation with falls incidence and moderate correlation with the Falls Efficacy Scale–International, indicating that those with worse gradient discriminative ability reported more falls (r = 0.55, P < 0.01) and had greater concerns about falling (r = 0.44, P < 0.05). No significant associations between any sensory measure and spatial or temporal aspects of gait were demonstrated.
Table 5.
Spearman rank order correlation coefficients between sensory measures and functional mobility measures
| Sensory Measure | Falls Incidence | FES‐I | Brief BESTest | Gait Speed, m/s | Step Length |
|---|---|---|---|---|---|
| GradDT | 0.55** | 0.44* | −0.63** | 0.20 | 0.06 |
| StepDT | 0.24 | 0.1 | −0.54** | 0.12 | 0.09 |
| FoRDT | 0.03 | 0.15 | −0.11 | −0.17 | 0.05 |
| EmNSA (tactile) | −0.21 | −0.37 | 0.17 | 0.03 | 0.02 |
| EmNSA (proprioception) | 0.15 | −0.37 | −0.31 | 0.15 | 0.17 |
P < 0.05.
P < 0.01.
Brief BESTest, Brief version of Balance Evaluations Systems Test; GradDT, Gradient Discrimnation Test; StepDT, Step Height Discrimination Test; FoRDT, Foot Roughness Discrimination Test; EmNSA, Erasmus MC modified Nottingham Sensory Assessment; FES‐I, Falls Efficacy Scale–International.
Discussion
In this study, we evaluated 3 novel tests of lower limb somatosensory function in a cohort of people with PD and healthy, age‐matched control participants. The sensory–perceptual ability to discriminate surface gradient or slope was assessed during full weight‐bearing using the GradDT. Discrimination of step height using lower limb position sense was assessed with the StepDT, and the ability to discriminate underfoot surface roughness was evaluated using the FoRDT. Our study results provide preliminary evidence to support the reliability and validity of these tests in people with PD and demonstrate people with PD to have impaired lower limb somatosensory discrimination. Moreover, these deficits are associated with worse static and dynamic balance, greater falls incidence, and fear of falling.
Our novel measures target key sensorimotor functions related to stance and stepping and use a robust psychophysical testing approach to establish somatosensory discrimination thresholds, that is, the ability to discriminate the spatial qualities (roughness/gradient/step height) of a stimulus. In contrast to the more traditional, manual method of assessing lower limb movement detection and direction (ie, the proprioceptive component of the EmNSA), our weight‐bearing tests of gradient discrimination (GradDT) and step height discrimination (StepDT) highlighted the increased somatosensory discrimination thresholds in people with PD and found these deficits had moderate to strong significant correlations with balance, reported falls, and concerns about falling. Consistent with our findings, elevated somatosensory discrimination thresholds to temporal stimuli, that is, the shortest time interval required for 2 tactile stimuli to be perceived as separate, have also been found in people with PD when compared with healthy controls. Elevated discrimination thresholds at the finger and face39 and toe40 have been identified in PD and have mostly been observed to be correlated with movement performance41; our findings lend further support to the presence of somatosensory dysfunction in people with PD and its impact on movement performance, movement function, and sensorimotor integration.
Movement and balance are reliant on a complex interaction between sensory and motor systems,42 whereas the central processing of sensory information ensures the production of a motor plan for task execution that is appropriate to the sensory environment.43 In PD, it is postulated that deficits of central processing of somatosensory information, rather than pathology of the peripheral nervous system, result in altered integration of sensory and motor information4, 44 and in particular proprioceptive information.45 An important function of the dorsal striatum within the basal ganglia (one of the main channels of information processing) is suggested to be the treatment of sensory and motor information coming from the sensorimotor cortex and integrating visual and proprioceptive information onto the motor command.46 Using methods that target the integrity of these central processes and the perceptual constructs they sustain may be better achieved by sensory measures that assess discriminative perception rather than simple touch or movement detection. Our data suggest our lower limb novel measures may be better suited to capturing the complexity of somatosensory dysfunction in PD when compared with an existing, widely used clinical measure.
That our novel measures of gradient discrimination and step height discrimination were only weakly correlated with the proprioceptive component of the EmNSA suggests that they may be measuring different constructs. This may, at least in part, be accounted for by the fact that the EmNSA assessed proprioception with the participant in supine/sitting, in contrast to our novel measures that assessed position sense with the participant standing in full weight‐bearing position. Sense of position and sense of movement have also been shown by others to only weakly correlate,47 which may further help to explain this finding.
The presence of plantar tactile sensory dysfunction in people with PD was not evident in this study as neither the tactile scores of the EmNSA nor the discrimination thresholds to roughness perception (FoRDT) were significantly different from the healthy controls. Furthermore, tactile plantar sensation as measured by the FoRDT did not significantly correlate with our mobility outcomes. Current evidence pertaining to the presence of plantar tactile sensory deficits in people with PD is equivocal4, 48 with contrasting results explained by variations in study sample characteristics such as disease stage, symptom severity, and sensory assessment methods. That most participants in our study were in the early to moderate stages of PD (mean Hoehn & Yahr stage = 2.3; time since diagnosis = 5.7 years) suggests that reported plantar tactile sensory changes may not occur in early PD. We also recognise the complex and multifactorial nature of balance impairment in PD and the involvement of several “systems” in addition to the somatosensory system,27 so factors other than plantar tactile deficits may also contribute to balance deficits. Nonetheless, that significant deficits of plantar sensation were not evident in our sample, yet proprioceptive deficits were, supports the potential for interventions targeting the plantar aspect of the foot to enhance lower limb position sense/proprioception.
Our study supports that diminished position sense awareness of the lower limbs may also contribute to an increased risk of falls. The strong and significant correlations between lower limb position sense as measured with the GradDT and StepDT falls incidence and falls confidence indicates worse position sense awareness of the lower limb is significantly associated with more falls and greater fear of falling. This is consistent with the findings of others who have found greater error performance and variability in judging obstacle heights when relying on lower limb proprioception,10 which may contribute to an increased risk of trips, and that people with PD who fall have significantly worse lower limb proprioception when compared with those who do not fall.7 The link between falls and lower limb proprioceptive impairment has also been identified in other clinical populations.16, 49
Neither temporal nor spatial aspects of gait, as measured by straight‐line gait speed and number of steps, respectively, were significantly associated with lower limb somatosensory function. Similar findings have been identified in previous studies of healthy and neurological populations16, 50 and explained by the increased use or sensory weighting of visual information during walking tasks, which may reduce the need for accurate somatosensory information from the lower limbs. In essence, simple straight‐line gait tasks may be completed using minimal somatosensory information and processing as visual feedback compensates. Electroencephalogram studies51, 52 demonstrate that more complex gait tasks, such as uphill walking and narrow beam walking, result in increased activation within somatosensory cortical regions when compared with simple straight‐line gait tasks on the flat, suggesting a greater role for somatosensory information during more complex walking tasks.
Intrarater reliability was excellent in the GradDT, although wide reliability confidence intervals and substantial CoR scores for the FoRDT and StepDT highlight the occurrence of random and/or measurement error. Reliability is an issue in sensory assessments particularly in neurological populations,12 and although we attempted to control for random and measurement errors, we postulate that the effect of fluctuations in participant energy levels, fatigue, and possibly attention may account for this. The clinical implication is that somatosensory function in people with PD, as with other symptoms, may not be established through one‐off assessments, but should be assessed on several occasions to gain a true picture. Nonetheless, our novel measures have demonstrated to have distinct advantages over existing measures of lower limb sensation in that they employ an interval level of measurement and show, in this sample, no floor or ceiling effects. The standard error of measurement and CoR data provide an indication of random and measurement errors that enables the interpretation of the true change in scores. Because the CoR is quantified in the same units as the assessment tool, it lends itself for easy clinical interpretation and can be used to guide decision making. A change in discriminative ability in the gradient test of ±0.85°, for example, would indicate change beyond random and measurement errors, critical for the monitoring of disease progression and the evaluation of interventions.
This study has several limitations. The testing of discriminative ability places demands on cognitive functions such as attention and working memory; functions that are known to be affected in PD53 and may be further confounded by fatigue and/or motivation.54 The formal assessment of fatigue or motivation was not undertaken in this study, so the extent to which it influenced test outcome cannot be determined. We also did not run separate analysis on the effect of lower limb tremor or dyskinesia on somatosensory performance, so we cannot rule out the impact of these symptoms as our novel tests were designed to reflect real‐life foot–ground sensorimotor interactions during weight‐bearing. A further limitation relates to the generalizability of our findings. Our sample was composed of people in the mild to moderate stages of PD who were tested during the on phase, so the results may not generalize to those in the more advanced stages of the disease, nor reflect somatosensory function during the off phase.
Conclusion
To develop targeted and appropriate rehabilitation interventions for people with PD, the recognition that lower limb sensation informs movement and balance function is critical. Key to this is the availability and use of appropriate, clinically feasible, and psychometrically robust assessment tools. The development and use of sensory measures that are more closely aligned with the complex sensory–motor function of the lower limb, such as the novel measures evaluated in this article, may enhance understanding in this relatively understudied area of PD. It is hoped that this study provides further insight and generates discussion into recognizing the importance of evaluating somatosensory ability, its relevance to movement, and its rehabilitation in this clinical population.
Author Roles
1. Research project: A. Conception, B. Organization, C. Execution; 2. Statistical Analysis: A. Design, B. Execution, C. Review and Critique; 3. Manuscript Preparation: A. Writing of the first draft, B. Review and Critique
T.G.: 1A, 1B, 1C, 2A, 2B, 2C, 3A, 3B
J.F.: 1A, 2C, 3B
J.M.: 2A, 3B
Disclosures
Ethical Compliance Statement: This study was conducted in accordance with the University of Plymouth, Faculty of Health and Human Sciences Research Ethics Committee (ref: 17/18‐86). Written informed consent was gained from each participant prior to taking part in this study and documented. We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this work is consistent with those guidelines.
Funding Sources and Conflict of Interest: No specific funding was received for this work. The authors declare that there are no conflicts of interest relevant to this work.
Financial Disclosures for the Previous 12 Months: The authors declare that there are no additional disclosures to report.
Acknowledgments
We thank all of the individuals who participated in this study. In particular, Parkinson's UK North Devon branch members and the University of the 3rd Age for their help with recruitment. We also thank Kielan Yarrow for his input regarding the methodology of this study.
Relevant disclosures and conflicts of interest are listed at the end of this article.
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