scholarly journals Comparing GPS-Based Community Mobility Measures with Self-report Assessments in Older Adults with Parkinson’s Disease

2020 ◽  
Vol 75 (12) ◽  
pp. 2361-2370 ◽  
Author(s):  
Lynn Zhu ◽  
Christian Duval ◽  
Patrick Boissy ◽  
Manuel Montero-Odasso ◽  
Guangyong Zou ◽  
...  
Keyword(s):  
Older Adults ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Convergent Validity ◽  
Intraclass Correlation ◽  
Self Report ◽  
Measurement Unit ◽  
Life Space ◽  
Community Mobility ◽  
Trip Frequency

Abstract Background Real-life community mobility (CM) measures for older adults, especially those with Parkinson’s disease (PD), are important tools when helping individuals maintain optimal function and quality of life. This is one of the first studies to compare an objective global positioning system (GPS) sensor and subjective self-report CM measures in an older clinical population. Methods Over 14 days, 54 people in Ontario, Canada with early to mid-stage PD (mean age = 67.5 ± 6.3 years; 47 men; 46 retired) wore a wireless inertial measurement unit with GPS (WIMU-GPS), and completed the Life Space Assessment and mobility diaries. We assessed the convergent validity, reliability and agreement on mobility outcomes using Spearman’s correlation, intraclass correlation coefficient, and Bland-Altman analyses, respectively. Results Convergent validity was attained by the WIMU-GPS for trip frequency (rs = .69, 95% confidence interval [CI] = 0.52–0.81) and duration outside (rs = .43, 95% CI = 0.18–0.62), but not for life space size (rs = .39, 95% CI = 0.14–0.60). The Life Space Assessment exhibited floor and ceiling effects. Moderate agreements were observed between WIMU-GPS and diary for trip frequency and duration (intraclass correlation coefficients = 0.71, 95% CI = 0.51–0.82; 0.67, 95% CI = 0.42–0.82, respectively). Disagreement was more common among nonretired individuals. Conclusions WIMU-GPS could replace diaries for trip frequency and duration assessments in older adults with PD. Both assessments are best used for retired persons. However, the Life Space Assessment may not reflect actual mobility.

scholarly journals Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson’s Disease patients

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Robbin Romijnders ◽  
Elke Warmerdam ◽  
Clint Hansen ◽  
Julius Welzel ◽  
Gerhard Schmidt ◽  
...  
Keyword(s):  
Older Adults ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Daily Life ◽  
Neurological Diseases ◽  
Detection Performance ◽  
Measurement Unit ◽  
Straight Line ◽  
Optical Motion ◽  
Task Conditions

Abstract Background Identification of individual gait events is essential for clinical gait analysis, because it can be used for diagnostic purposes or tracking disease progression in neurological diseases such as Parkinson’s disease. Previous research has shown that gait events can be detected from a shank-mounted inertial measurement unit (IMU), however detection performance was often evaluated only from straight-line walking. For use in daily life, the detection performance needs to be evaluated in curved walking and turning as well as in single-task and dual-task conditions. Methods Participants (older adults, people with Parkinson’s disease, or people who had suffered from a stroke) performed three different walking trials: (1) straight-line walking, (2) slalom walking, (3) Stroop-and-walk trial. An optical motion capture system was used a reference system. Markers were attached to the heel and toe regions of the shoe, and participants wore IMUs on the lateral sides of both shanks. The angular velocity of the shank IMUs was used to detect instances of initial foot contact (IC) and final foot contact (FC), which were compared to reference values obtained from the marker trajectories. Results The detection method showed high recall, precision and F1 scores in different populations for both initial contacts and final contacts during straight-line walking (IC: recall $$=$$ = 100%, precision $$=$$ = 100%, F1 score $$=$$ = 100%; FC: recall $$=$$ = 100%, precision $$=$$ = 100%, F1 score $$=$$ = 100%), slalom walking (IC: recall $$=$$ = 100%, precision $$\ge$$ ≥ 99%, F1 score $$=$$ = 100%; FC: recall $$=$$ = 100%, precision $$\ge$$ ≥ 99%, F1 score $$=$$ = 100%), and turning (IC: recall $$\ge$$ ≥ 85%, precision $$\ge$$ ≥ 95%, F1 score $$\ge$$ ≥ 91%; FC: recall $$\ge$$ ≥ 84%, precision $$\ge$$ ≥ 95%, F1 score $$\ge$$ ≥ 89%). Conclusions Shank-mounted IMUs can be used to detect gait events during straight-line walking, slalom walking and turning. However, more false events were observed during turning and more events were missed during turning. For use in daily life we recommend identifying turning before extracting temporal gait parameters from identified gait events.

Feasibility of Smartphone-Based Testing of Interference in Parkinson’s Disease

2018 ◽  
Vol 18 (2-3) ◽  
pp. 133-142 ◽  
Author(s):  
Will Lee ◽  
David R. Williams ◽  
Andrew Evans
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Convergent Validity ◽  
Rating Scale ◽  
Intraclass Correlation ◽  
Motor Impairment ◽  
Smartphone Application ◽  
Novel Approach ◽  
Comparison Results ◽  
Interference Test

Background: Interference refers to learned associations and established behaviors “interfering” with response to new material. It forms a core pillar of executive functions, which are commonly affected in Parkinson’s disease (PD). Cognitive interference test (CIT) forms part of a smartphone application designed for ambulatory assessment in PD. Objective: The aims of this study were to establish that CIT could effectively demonstrate interference and would perform comparably to the Stroop Color-Word Test Victoria version (VST) despite PD-related motor impairment. Methods: Ninety-nine patients with PD were recruited. Initial evaluation included CIT, VST, Montreal cognitive assessment (MOCA), and Movement Disorders Society-sponsored revision of the ­Unified Parkinson’s Disease Rating Scale (MDS-UPDRS-III). A group of patients underwent repeat assessment within 2 weeks. Thirty-four healthy controls were recruited for comparison. Results: Patients’ mean age was 66.2 years, disease duration was 8.7 years, on-state MDS-UPDRS-III was 22, and MOCA total score was 27. CIT effectively generated interference, whereby the total time taken to complete the incongruent task was 20% longer compared to that of the baseline task. CIT key test items demonstrated convergent validity to VST (r = 0.478–0.644, p < 0.0001) and satisfactory repeatability (intraclass correlation coefficient 0.46–0.808, p ≤ 0.0002). Performance on key CIT test parameters deteriorated with increasing age (r = 0.225–0.478, p < 0.01) and MDS-UPDRS-III total score (r = 0.354–0.481, p < 0.0001). When compared to controls and patients with less motor impairment, patients MDS-UPDRS-III > 30 took longer to complete CIT and VST and had lower MOCA-attention sub-score, implying that the degree of motor impairment could not be the sole explanation for reduced CIT performance. Conclusions: We established that despite motor impairment, the novel approach of using smartphone technology to test interference in PD patients is feasible.

scholarly journals Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson's Disease patients

2021 ◽  
Author(s):  
Robbin Romijnders ◽  
Elke Warmerdam ◽  
Clint Hansen ◽  
Julius Welzel ◽  
Gerhard Schmidt ◽  
...  
Keyword(s):  
Older Adults ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Daily Life ◽  
Neurological Diseases ◽  
Detection Performance ◽  
Measurement Unit ◽  
Straight Line ◽  
Optical Motion ◽  
Task Conditions

Abstract Background: Identification of individual gait events is essential for clinical gait analysis, because it can be used for diagnostic purposes or tracking disease progression in neurological diseases such as Parkinson's disease. Previous research has shown that gait events can be detected from a shank-mounted inertial measurement unit (IMU), however detection performance was often evaluated only from straight-line walking. For use in daily life, the detection performance needs to be evaluated in curved walking and turning as well as in single-task and dual-task conditions. Methods: Participants (older adults, people with Parkinson's disease, or people who had suffered from a stroke) performed three different walking trials: 1) straight-line walking, 2) slalom walking, 3) Stroop-and-walk trial. An optical motion capture system was used a reference system. Markers were attached to the heel and toe regions of the shoe, and participants wore IMUs on the lateral sides of both shanks. The angular velocity of the shank IMUs was used to detect instances of initial foot contact (IC) and final foot contact (FC), which were compared to reference values obtained from the marker trajectories. Results: The detection method showed high recall, precision and F1 scores in different populations for both initial contacts and final contacts during straight-line walking (IC: recall = 100%, precision = 100%, F1 score = 100%; FC: recall = 100%, precision = 100%, F1 score = 100%), slalom walking (IC: recall = 100%,precision ≥ 99%, F1 score =100%; FC: recall = 100%, precision ≥ 99%, F1 score =100%), and turning (IC: recall ≥ 85%, precision ≥ 95%, F1 score ≥ 91%; FC: recall ≥ 84%, precision ≥ 95%, F1 score ≥ 89%). Conclusions: Shank-mounted IMUs can be used to detect gait events during straight-line walking, slalom walking and turning. However, more false events were observed during turning and more events were missed during turning. For use in daily life we recommend identifying turning before extracting temporal gait parameters from identified gait events.

scholarly journals Validity and Reliability of Short-Form McGill Pain Questionnaire-2 (SF-MPQ-2) in Iranian People with Parkinson’s Disease

2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
Author(s):  
Maryam Mehdizadeh ◽  
Seyed-Mohammad Fereshtehnejad ◽  
Sepide Goudarzi ◽  
Ainaz Moshtagh ◽  
Farzaneh Dehghanian Nasrabadi ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Convergent Validity ◽  
Short Form ◽  
Intraclass Correlation ◽  
Mcgill Pain Questionnaire ◽  
Validity And Reliability ◽  
Cronbach’S Alpha ◽  
Pain Questionnaire ◽  
Cronbach's Alpha

Purpose. Pain is one of the nonmotor symptoms of Parkinson’s disease (PD) that, in order to be better managed, requires to be evaluated. Evaluations are done using pain assessment scales such as the Short-Form McGill Pain Questionnaire-2 (SF-MPQ-2). The goal of this study was to assess the psychometric properties of SF-MPQ-2 to measure pain in people with PD. Methods. Four hundred and twenty-eight PD patients with a mean (SD) age of 60.11 (11.44) years were included. Accessibility was measured through floor and ceiling effects. Dimensionality was estimated by exploratory factor analysis. The association between SF-MPQ-2 and other scales such as Neuropathic Pain Symptom Inventory, Douleur Neuropathic 4, Brief Pain Inventory, King’s Pain Parkinson’s Disease Scale, and Visual Analog Scale-Pain was considered to calculate convergent validity. Internal consistency and test-retest reliability were assessed by Cronbach’s alpha and intraclass correlation coefficient (ICC), respectively. Results. A noticeable floor effect was found. Dimensionality results indicated four factors for this scale. A strong relationship was found between the SF-MPQ-2 total score and other scales (r = 0.55 to 0.85). In reliability analysis, Cronbach’s alpha and ICC were 0.93 and 0.94 for SF-MPQ-2, respectively. Conclusion. The results of this study showed that SF-MPQ-2 has adequate validity and reliability to measure pain in people with Parkinson’s disease.

scholarly journals Validity and Reliability of the Persian Version of Parkinson’s Disease Sleep Scale-2

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Mohammad Taghi Joghataei ◽  
Seyed-Mohammad Fereshtehnejad ◽  
Maryam Mehdizadeh ◽  
Sepideh Goudarzi ◽  
Sayed Amir Hasan Habibi ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Intraclass Correlation ◽  
Depression Scale ◽  
Validity And Reliability ◽  
Retest Reliability ◽  
Persian Version ◽  
Test Retest Reliability

Objective. Sleep problems are nonmotor symptoms in Parkinson’s disease that should be carefully evaluated for better management and treatment. Parkinson’s Disease Sleep Scale (PDSS-2) is one of the most reliable tools for measuring sleep difficulties in people with Parkinson’s disease. This study investigated the psychometric properties of the Persian version of PDSS-2. Methods. Four hundred and fifty-six people with Parkinson’s disease with a mean age ±standard deviation of 60.7 ± 11.3 years were engaged in this study. Acceptability was assessed by floor and ceiling effects. Dimensionality was measured by exploratory factor analysis. The convergent validity of PDSS-2 with the Hospital Anxiety and Depression Scale (HADS) was assessed. Internal consistency and test-retest reliability were assessed with Cronbach’s alpha and intraclass correlation coefficient (ICC), respectively. Results. No noticeable ceiling and floor effect was detected. The dimensionality analysis showed three factors. A high correlation was obtained between PDSS-2 and HADS (anxiety subscale). Excellent internal consistency with α = 0.94, and good test-retest reliability with ICC = 0.89 were obtained. Conclusion. This study showed that the Persian version of Parkinson’s Disease Sleep Scale has acceptable validity and reliability for measuring sleep disturbances in people with Parkinson’s disease.

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