Charting the progression of disability in parkinson disease: study protocol for a prospective longitudinal cohort study
- Leland E Dibble†1Email author,
- James T Cavanaugh†2,
- Gammon M Earhart†3,
- Terry D Ellis†4,
- Matthew P Ford†5 and
- Kenneth B Foreman†1
© Dibble et al; licensee BioMed Central Ltd. 2010
Received: 9 September 2010
Accepted: 3 November 2010
Published: 3 November 2010
People with Parkinson disease (PD), even in the presence of symptomatic relief from medical, surgical, and rehabilitative interventions, face a persistent worsening of disability. This disability is characterized by diminished quality of life, reduced functional mobility, declining performance in activities of daily living and worsening neurological impairments. While evidence has emerged supporting the clinically meaningful benefits of short-term exercise programs on these underlying factors, assertions regarding the effects of sustained programs of exercise and physical activity on the trajectory of disablement in PD are made in the absence of direct evidence. Indeed, the natural decline in quality of life and functional mobility in people diagnosed with PD is poorly understood. Moreover, outcome measures commonly used in clinical exercise trials typically do not capture the full spectrum of disability as defined by the World Health Organization (WHO).
The objective of this multicenter prospective study will be to examine the 2-year trajectory of disablement in a cohort of persons with PD. Two hundred sixty participants will be recruited to produce an expected final sample size of 150 individuals. Participants will be included if they are greater than 40 years of age, have a neurologist confirmed diagnosis of idiopathic PD, and are at Hoehn and Yahr stages 1 through 4. Data will be collected every 6 months during the study period. Primary outcome measures reflecting a broad spectrum of disablement will include, but will not be limited to, MDS-UPDRS, Timed Up and Go, Berg Balance Test, Nine Hole Peg Test, PDQ-39, and directly monitored ambulatory activity. Self-reported exercise and physical activity data also will be recorded. Statistical analyses will be used to characterize the trajectory of disablement and examine the influence of its underlying contributing factors.
Tertiary prevention is an important component of contemporary healthcare for individuals living with degenerative disease. For individuals with PD, there is growing recognition that exercise and/or physical activity efforts to slow the rate of functional mobility decline, in particular, may be critical for optimizing quality of life. By describing the natural trajectory of disablement, exercise habits, and physical activity in a cohort of persons with PD, this investigation will establish an important foundation for future intervention research. Specifically, through the evaluation of the influence of sustained exercise and physical activity on disablement, the study will serve as a preliminary step toward developing a randomized controlled trial of long-term exercise in persons with PD.
Parkinson disease (PD) is a chronic, progressive neurodegenerative disease affecting more than 4 million people world-wide. With adequate access to healthcare services, persons with PD can live 20-30 years following initial diagnosis. Nonetheless, persons with PD face a persistent deterioration in functional mobility and activities of daily living often resulting in a loss of independence and a decline in quality of life.
Over the last decade, a growing body of evidence has emerged revealing significant and clinically meaningful benefits of exercise for addressing PD-related problems. For example, a critical review of the literature identified 23 randomized controlled trials demonstrating that patients who participated in exercise programs had better quality of life, walking ability, balance, strength, flexibility and cardiovascular fitness compared to those who did not exercise. Exercise studies of both rodent and primate models of PD have demonstrated increased survival of nigrostriatal dopaminergic neurons, suggesting a potential protective effect of exercise as well[4, 5]. Furthermore, a prospective epidemiological study revealed a significant decreased risk of developing PD in people who participated in moderate to vigorous exercise[6, 7].
Although promising, studies of exercise in PD have been limited in scope. Most have examined the effects of short-term exercise programs, typically implemented over 4 to 12 weeks. Furthermore, in studies with prolonged follow-up, exercise benefits typically attenuated over weeks to months following the intervention period[8, 9]. Thus, the benefit of longer, more sustained patterns of regular exercise on PD-related problems remains poorly understood. In particular, the impact of sustained exercise and/or a physically active lifestyle on the rate at which persons with PD become disabled (i.e., the "trajectory of disablement") remain unknown.
Currently the Unified Parkinson Disease Rating Scale (UPDRS) and its most recent version (the MDS-UPDRS) are considered the gold standards for examining disease severity and progression[10–12]. The UPDRS focuses primarily on measuring impairments associated with PD, with fewer items addressing specific functional limitations or perceptions of quality of life. The subsections of the UPDRS are organized according to motor and non-motor aspects of the disease, significantly limiting the assessment of disablement in PD. As a result, the burden of PD is commonly understood more in terms of disease progression (i.e., the predictable evolution of signs, symptoms, and impairments) rather than in terms of the potentially diverse paths through which persons with PD become disabled.
In contrast to the UPDRS, the International Classification of Functioning, Disability, and Health (ICF) was developed as a framework for understanding disability at multiple levels. Accordingly, the effect of health conditions (e.g., PD) is considered across 3 domains of human function: body structure and function, activity, and participation. "Disability" is used to denote a decrement at each level (i.e., a body structure or function impairment, an activity limitation, and a participation restriction). Underscoring the value of this approach, the World Health Organization (WHO) endorsed the ICF in 2001.
"Body structure," in ICF terms, is defined as an anatomical part of the body, such as organs, limbs and their components, while "body function" is defined as the physiological function of body systems. Applied to PD, motor signs such as bradykinesia, tremor and rigidity represent impairments in body structure and function. "Activity" is defined as the execution of a task or action by an individual and activity limitations as the difficulties an individual may have in executing such tasks. Activity limitations common in PD are those affecting gait, balance, getting dressed, bathing, and other activities of daily living. Lastly, "participation" is defined as the involvement in a life situation and participation restrictions as problems an individual may experience in involvement in life situations. Participation restrictions in PD may include involvement in leisure, work or social aspects of life in both the household and community settings.
To address the aforementioned limitations in the exercise and disability literature, we plan to conduct a 2-year, multicenter prospective longitudinal study of a cohort of persons with PD. The objectives of the study will be: (1) to characterize the natural trajectory of disablement using a spectrum of measures organized according to the ICF framework, and (2) to identify potential factors, including but not limited to those related to exercise and physical activity, that contribute to the development of impairments of body structure/function, activity limitations, or participation restrictions. The study is anticipated to lay an important foundation for future studies, especially those designed to understand the impact of sustained exercise and/or a physically active lifestyle on disablement in PD.
The proposed project is a prospective, longitudinal cohort study in which patients with PD will be assessed every 6 months over a 2-year period using a specific battery of outcome measures designed to reflect the full spectrum of disability.
Participants and Recruitment
Two hundred sixty participants will be recruited through the Neurology Department at the University of Utah, the Parkinson's Disease and Movement Disorder Center at Boston University Medical Center (BU PDMC), the Department of Neurology at the University of Alabama at Birmingham (UAB), and the Movement Disorders Center at Washington University in St Louis School of Medicine. Prior to data collection, ethics approval will be achieved through the Institutional Review Board (IRB) at each participating site. Before participation, all participants will sign IRB approved informed consent forms. Gathering data at four sites will promote rapid enrollment and increase the likelihood of enrolling participants who typically are under-represented in PD studies (e.g., Ethnic minority participants, females, individuals who are at Hoehn and Yahr Stage 4). Included participants will be community dwelling persons ≥ 40 years of age who have neurologist-diagnosed idiopathic PD (using UK Brain Bank Criteria ), are at Hoehn and Yahr stages I-IV (mild to moderate disease severity), and score ≥ 24/30 on the Mini-mental State Examination. Excluded participants will be individuals with a diagnosis of atypical Parkinsonism, who are at Hoehn and Yahr stage 5, or who have had previous surgical management of PD (e.g. pallidotomy, deep brain stimulation).
Power and Sample Size Estimates
A 25% annual attrition rate is anticipated over the 2-year study period, resulting in a final estimated sample size of 150 participants. The final sample will be sufficient to provide precise disability estimates and to allow for the inclusion of as many as 12 predictor variables in multiple regression analyses that evaluate the underlying contributors to various trajectories of disablement (α = 0.05; N ≥ 50 + 8 (X), where X = the number of predictor variables.)
Battery of Outcome Measures
ICF Disablement Construct
Body Structure and Function
MDS-UPDRS Sections I, III
6 Minute Walk Test
9 Hole Peg Test
Berg Balance Scale
Freezing of Gait Questionnaire
Functional Gait Assessment
Gait Speed (10 meter walk)
MDS-UPDRS Section II
Timed Up and Go
Measure of Body Structure and Function
Sections I and III of the MDS-UPDRS will be utilized to assess neurological signs[10, 12]. Section I, which is entitled "Non-motor aspects of experiences of daily living", consists of 13 items that will be administered via clinician interview and a participant/caregiver questionnaire. Section III consists of 18-items pertaining to motor aspects of the disease, the data for which will be obtained by examining the participant at the time of each visit. Each item is rated on a 5-point (0-4) ordinal scale, with higher scores indicating more severe impairment.
Measures of Activity
(1) Section II of the MDS-UPDRS consists of 13 items related to activities of daily living (ADL). Data will be obtained via interview. Each item is rated on a 5-point (0-4) ordinal scale with higher scores indicating more severe activity limitation. The UPDRS has been administered in several large clinical trials in PD and is reliable, valid and responsive to change[10, 12].
(2) The Berg Balance Scale (BBS) is a 14-item test battery that quantitatively assesses balance and risk for falls through direct observation of performance. The BBS requires approximately 15 minutes to complete and measures the participant's ability to maintain balance either statically or dynamically over a specified period of time. The items are scored on a 5-point (0-4) ordinal scale. The total score, which will be used as the dependent variable, ranges from 0 to 56 with higher scores indicating better balance. Validity and high test-retest reliability of the BBS total score have been demonstrated across a variety of populations including patients with PD[22, 23].
(3) The Functional Reach Test (FR) measures the maximum distance a participant can reach in the forward direction with a fixed base of support. Each participant will be asked to make a fist, raise the dominant arm parallel to the floor and reach as far forward as possible without taking a step. Using a yardstick mounted on the wall at the shoulder height and the third metacarpal as the reference point, the distance between the starting and ending position will be recorded. Two practice trials and 3 test trials will be conducted, with the mean distance reached during the 3 test trials used as the dependent variable. Validity and high test-retest reliability of the FR have been established in healthy elders and in people with PD [23, 24].
(4) The Functional Gait Assessment (FGA) is a 10-item standardized test for assessing postural stability during various walking tasks. Items include walking with head turns, walking with eyes closed, walking while altering gait speed, walking in a backward direction, walking with a narrowed base of support, negotiating obstacles, stopping, turning and stair climbing. Items are scored using a 4-point ordinal scale (0-3). Total score, which will be used as the dependent variable, ranges from 0 to 30, with higher scores indicating better performance. Reliability, internal consistency and validity of the FGA total score have been established in healthy adults and in patients with neurological disorders[25, 26].
(5) The six-minute walk (6MW) test, a measure of the distance a participant walks in 6 minutes, will be used to assess overall locomotor ability. The 6MW distance is related to functional movement tasks and is an independent predictor of prognosis in older patients with co-morbid conditions. The 6MW's test-retest reliability is high, ranging from .94 - .96, in older populations with various co-morbid conditions[23, 27].
(6) Self-selected and maximal pace gait speed will be measured during a 10 meter walk. Three trials at each pace will be recorded, with the average speed at each pace used as separate dependent variables. Gait speed provides a standardized measure of gait function that has been found to be reliable and is sensitive to change over a broad range of physical function in elderly individuals and persons with neurologic pathology[23, 27, 28].
(7) The Freezing of Gait Questionnaire (FOG-Q) is a valid and reliable 6-item tool used to assess the severity of freezing of gait in patients with PD[29, 30]. Each item is rated on a 5-point ordinal scale, from 0 (absence of symptom) to 4 (most severe symptom). The total score, which will be used as the dependent variable, reflects the sum of the 6 items and ranges from 0-24. The FOG-Q will be self-administered by all participants.
(8) The "Timed Up and Go" Test (TUG) measures the time it takes for a participant to stand from a seated position in an armchair, walk forward 3 m at a comfortable pace, turn around, walk back to the chair, and sit down. Each participant will perform a practice trial followed by 2 test trials. The mean of the 2 test trials will be the dependent variable. In older adults at risk for falls, the TUG has been found to possess excellent intra and inter-tester reliability (.94-.96) and predictive validity in that increased times on the TUG relate to increased fall-risk[23, 31, 32].
(9) The Nine Hole Peg Test (9-HPT) is a brief, standardized, quantitative test of upper extremity function that asks the participant to place and remove nine pegs one at a time, as quickly as possible, from nine holes in a peg board. Scoring is determined by the total time to complete the task. Two trials with the dominant hand will be immediately followed by two trials with the non-dominant hand. The mean of the two trials for each hand will be the dependent variable. The 9-HPT has high inter-rater reliability and good test-retest reliability. There is evidence for concurrent and convergent validity as well as sensitivity to detect minor impairments of hand function[33, 34].
Measures of Participation
(1) The Parkinson's Disease Questionnaire-39 (PDQ-39) is a health status instrument that contains 39-self-report items and was specifically developed for people with Parkinson's disease. The PDQ-39 measures the degree of healthy, competent, and satisfying participation in daily life activities. The reliability, validity, and sensitivity to change of the PDQ-39 have been established in community dwelling persons with PD. In addition to the composite summary score, we will utilize the 8 subscores (i.e., mobility, activities of daily living, emotions, stigma, social support, cognition, communication, and body discomfort) to reflect constructs that have been consistently found to contribute to perceived quality of life in persons with PD)[35–37].
(2) Ambulatory Activity: To capture "free-living" ambulatory activity, a sub-group of participants will wear a StepWatch 3 Activity Monitor (SAM, Orthocare Innovations, Seattle, WA,), 24 hours per day for 7 consecutive days, except when bathing, showering, or swimming. The SAM is approximately the size of a pager, weighs 38 g, and is attached using Velcro closures immediately proximal to the lateral malleolus of either leg. The SAM uses a combination of acceleration, position, and timing to detect steps taken by the leg on which it is worn. It is designed for long-term use during daily activities performed in an individual's customary environment over hours or days without maintenance by the user. Data are recorded as a temporal series of counts, with each data point representing the number of steps per one-minute interval. Data will be downloaded to a personal computer via an infrared docking station and post processed using either manufacturer software or custom analysis programs written in Matlab (Mathworks, Natick, MA). Step counts will be used to generate multiple indices of mean daily ambulatory activity (e.g., total number of steps, percent of day spent inactive, total number of bouts of activity, bout duration, and activity intensity). The SAM is particularly accurate for individuals with impaired gait, is unobtrusive and easy to use, and has demonstrated good test-retest reliability (ICC, r = 0.84) and accuracy (98%) in an older adult population[38–42].
(3) The Physical Activity Scale for the Elderly (PASE) measures the level of self-reported physical activity in individuals aged 65 years or older and is comprised of items regarding occupational, household, and leisure activities during the previous 7-day period[43, 44]. Leisure activities include frequency and duration of walking outside the home, as well as participation in light, moderate and strenuous exercise. The total PASE score, which will be used as the dependent variable, is computed by multiplying the time spent in each activity (hours/week) or participation (yes/no) in an activity by empirically derived item weights and summing over all activities. The PASE has previously been validated in elderly populations[45–47].
Statistical Analysis Plan
Confidence intervals, means, standard deviations and frequency distributions will be calculated for all measures. Corrections for multiple comparisons will be used to control for increased type I statistical error risk. Effect sizes and post hoc power will be calculated when appropriate. All analyses will be performed with SPSS 16.0 (SPSS Inc).
To address study objective 1, disablement trajectory will be characterized using interval and point estimators of each outcome measure. In addition, survival analyses will be utilized to examine the time to reach operationally defined mobility thresholds (i.e., limited community ambulatory gait speed, assistance with ADL's, time to recurrent falls). This approach will allow us to characterize the distribution of time-to-event data, to test for differences between subgroups (i.e., exercise history, disease severity, disease sub-type, age, number of cormorbidities), and to utilize regression models to analyze complex influences of covariates on time to event data.
To address study objective 2, multiple regression analyses will be conducted to identify those factors associated with progression of disability. Assessments for violation of assumptions will be made, including analyses of normality of the residuals and linearity of the continuous variables. As needed, potentially more potent contributors will be used to define subgroups within the sample (e.g., exercisers vs. non-exercisers; physically active vs. sedentary), and analyses of variance will be used to evaluate between- and within-group differences in disablement change.
The multicenter protocol will rely on a web-based system of data input into a central database. The system will feature multi-tiered security-protected access and will conform to HIPAA security policies. Stored data will be backed up daily. Authenticated investigators will have access to the dataset from any Internet access point.
Prior to data collection, study personnel at each site will review a standard operating procedures (SOP) protocol manual and will rate two standardized persons with PD, who will have been filmed performing the battery of physical performance tests. Study personnel and site specific ratings will be evaluated by the data management team to insure their accuracy and consistency.
At each measurement interval, data will be collected on paper forms and entered into the web-based data entry portal by a specific individual at each site. The data management team subsequently will confirm the accuracy of data entry for every third participant by comparing electronic data with the original hard copy data. In addition, the team will select files at random for similar review. Researchers at each site will be notified of any discrepancies or incomplete data.
Tertiary prevention is an important component of contemporary healthcare for individuals with degenerative disease. Yet only recently has attention been given to the evolution of disability among persons with PD[13, 48–51]. Such studies, however, while valuable, have been limited by cross-sectional designs and limited scope of disablement. To our knowledge, our proposed study is novel for its longitudinal examination of the natural trajectory of disablement, exercise habits, and physical activity in a cohort of persons with PD. In this context, data collected in the study will provide a foundation for future exercise intervention research. Not only will the study characterize disablement using a broad spectrum of measures, it also has the potential to identify factors that might influence, either positively or negatively, the rates at which persons with PD experience decline in mobility and quality of life.
The authors acknowledge the participants of this study and Heather Boies for her coordination of data verification. This study is funded by grants from the Davis Phinney Foundation and the Parkinson Disease Foundation. Additional support was provided by the Greater St. Louis Chapter of the American Parkinson Disease Association (APDA), the APDA Center for Advanced PD Research at Washington University School of Medicine, and the Utah Chapter of the APDA.
- Dorsey ER, Constantinescu R, Thompson JP, Biglan KM, Holloway RG, Kieburtz K, Marshall FJ, Ravina BM, Schifitto G, Siderowf A, et al: Projected number of people with Parkinson disease in the most populous nations, 2005 through 2030. Neurology. 2007, 68 (5): 384-386. 10.1212/01.wnl.0000247740.47667.03.View ArticlePubMedGoogle Scholar
- Hely MA, Reid WG, Adena MA, Halliday GM, Morris JG: The Sydney multicenter study of Parkinson's disease: the inevitability of dementia at 20 years. Mov Disord. 2008, 23 (6): 837-844. 10.1002/mds.21956.View ArticlePubMedGoogle Scholar
- Kwakkel G, deGoede CJT, van Wegen E: Impact of Physical Therapy for Parkinson's disease: A critical review of the literature. Parkinsonism and Related Disorders. 2007, 13: S478-S487. 10.1016/S1353-8020(08)70053-1.View ArticlePubMedGoogle Scholar
- Leak RK, Zhang Z, Castro SL, Lopresti BJ, Mathis CA, Zigmond MJ, Cameron JL: Impact of exercise on caudate and putamen in a non-human primate model of Parkinson's disease. Neuroimage. 2008, 41: T58-T200. 10.1016/j.neuroimage.2008.04.097.View ArticleGoogle Scholar
- Tillerson JL, Caudle WM, Reveron ME, Miller GW: Exercise induces behavioral recovery and attenuates neurochemical deficits in rodent models of Parkinson's disease. Neuroscience. 2003, 119: 899-911. 10.1016/S0306-4522(03)00096-4.View ArticlePubMedGoogle Scholar
- Chen H, Zhang SM, Schwarzschild MA, Hernan MA, Ascherio A: Physical activity and the risk of Parkinson disease. Neurology. 2005, 64 (4): 664-669.View ArticlePubMedGoogle Scholar
- Xu Q, Park Y, Huang X, Hollenbeck A, Blair A, Schatzkin A, Chen H: Physical activities and future risk of Parkinson disease. Neurology. 2010, 75 (4): 341-348. 10.1212/WNL.0b013e3181ea1597.View ArticlePubMedPubMed CentralGoogle Scholar
- Keus SH, Bloem BR, Hendriks EJ, Bredero-Cohen AB, Munneke M: Evidence-based analysis of physical therapy in Parkinson's disease with recommendations for practice and research. Mov Disord. 2007, 22 (4): 451-460. 10.1002/mds.21244. quiz 600View ArticlePubMedGoogle Scholar
- Smidt N, de Vet HC, Bouter LM, Dekker J, Arendzen JH, de Bie RA, Bierma-Zeinstra SM, Helders PJ, Keus SH, Kwakkel G, et al: Effectiveness of exercise therapy: a best-evidence summary of systematic reviews. Aust J Physiother. 2005, 51 (2): 71-85.View ArticlePubMedGoogle Scholar
- Goetz CG, Tilley BC, Shaftman SR, Stebbins GT, Fahn S, Martinez-Martin P, Poewe W, Sampaio C, Stern MB, Dodel R, et al: Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results. Mov Disord. 2008, 23 (15): 2129-2170. 10.1002/mds.22340.View ArticlePubMedGoogle Scholar
- Goetz C, Poewe W, Rascol O, Sampaio C, Stebbins GT: The Unified Parkinson's Disease Rating Scale (UPDRS): Status and Recommendations. Movement Disorders. 2003, 18: 738-750. 10.1002/mds.10473.View ArticleGoogle Scholar
- Goetz CG, Poewe W, Dubois B, Schrag A, Stern MB, Lang AE, et al: The MDS-UPDRS: how to apply the new UPDRS in practice and research settings. The Movement Disorder Society. 2006Google Scholar
- Jette AM: Toward a common language for function, disability, and health. Phys Ther. 2006, 86 (5): 726-734.PubMedGoogle Scholar
- World Health Organization: Classification A, Surveys and Terminology Team: International Classification of Functioning, Disability, and Health-ICF. 2001Google Scholar
- Hughes AJ, Daniel SE, Kilford L, Lees AJ: Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases. J Neurol Neurosurg Psychiatry. 1992, 55 (3): 181-184. 10.1136/jnnp.55.3.181.View ArticlePubMedPubMed CentralGoogle Scholar
- Tabachnick BG, Fidell LS: Multiple regression. 1996, New York: Harper Collins College PublicationsGoogle Scholar
- Sangha O, Stucki G, Liang MH, Fossel AH, Katz JN: The Self-Administered Comorbidity Questionnaire: a new method to assess comorbidity for clinical and health services research. Arthritis Rheum. 2003, 49 (2): 156-163. 10.1002/art.10993.View ArticlePubMedGoogle Scholar
- Alexandre Tda S, Cordeiro RC, Ramos LR: Factors associated to quality of life in active elderly. Rev Saude Publica. 2009, 43 (4): 613-621.View ArticlePubMedGoogle Scholar
- Rojo A, Aguilar M, Garolera MT, Cubo E, Navas I, Quintana S: Depression in Parkinson's disease: clinical correlates and outcome. Parkinsonism Relat Disord. 2003, 10 (1): 23-28. 10.1016/S1353-8020(03)00067-1.View ArticlePubMedGoogle Scholar
- Berg KO, Wood-Dauphinee SL, Williams JI, Maki B: Measuring balance in the elderly: validation of an instrument. Can J Public Health. 1992, 83 (Suppl 2): S7-11.PubMedGoogle Scholar
- Blum L, Korner-Bitensky N: Usefulness of the Berg Balance Scale in stroke rehabilitation: a systematic review. Phys Ther. 2008, 88 (5): 559-566. 10.2522/ptj.20070205.View ArticlePubMedGoogle Scholar
- Qutubuddin AA, Pegg PO, Cifu DX, Brown R, McNamee S, Carne W: Validating the Berg Balance Scale for patients with Parkinson's disease: a key to rehabilitation evaluation. Arch Phys Med Rehabil. 2005, 86 (4): 789-792. 10.1016/j.apmr.2004.11.005.View ArticlePubMedGoogle Scholar
- Steffen T, Seney M: Test-retest reliability and minimal detectable change on balance and ambulation tests, the 36-item short-form health survey, and the unified Parkinson disease rating scale in people with parkinsonism. Phys Ther. 2008, 88 (6): 733-746. 10.2522/ptj.20070214.View ArticlePubMedGoogle Scholar
- Duncan PW, Weiner DK, Chandler J, Studenski S: Functional reach: a new clinical measure of balance. J Gerontol. 1990, 45 (6): M192-197.View ArticlePubMedGoogle Scholar
- Walker ML, Austin AG, Banke GM, Foxx SR, Gaetano L, Gardner LA, McElhiney J, Morris K, Penn L: Reference group data for the functional gait assessment. Phys Ther. 2007, 87 (11): 1468-1477. 10.2522/ptj.20060344.View ArticlePubMedGoogle Scholar
- Wrisley DM, Marchetti GF, Kuharsky DK, Whitney SL: Reliability, internal consistency, and validity of data obtained with the functional gait assessment. Phys Ther. 2004, 84 (10): 906-918.PubMedGoogle Scholar
- Sofuwa O, Nieuwboer A, Desloovere K, Willems AM, Chavret F, Jonkers I: Quantitative gait analysis in Parkinson's disease: comparison with a healthy control group. Arch Phys Med Rehabil. 2005, 86 (5): 1007-1013. 10.1016/j.apmr.2004.08.012.View ArticlePubMedGoogle Scholar
- Kim MJ, Seino S, Kim MK, Yabushita N, Okura T, Okuno J, Tanaka K: Validation of lower extremity performance tests for determining the mobility limitation levels in community-dwelling older women. Aging Clin Exp Res. 2009, 21 (6): 437-444.View ArticlePubMedGoogle Scholar
- Giladi NSH, Simon ES, Biran S, Tal J, Korczyn AD: Construction of freezing of gait questionaire for patients with Parkinsonism. Park Rel Disord. 2000, 6: 165-170. 10.1016/S1353-8020(99)00062-0.View ArticleGoogle Scholar
- Giladi N, Tal J, Azulay T, Rascol O, Brooks DJ, Melamed E, Oertel W, Poewe WH, Stocchi F, Tolosa E: Validation of the freezing of gait questionnaire in patients with Parkinson's disease. Mov Disord. 2009, 24 (5): 655-661. 10.1002/mds.21745.View ArticlePubMedGoogle Scholar
- Smithson F, Morris ME, Iansek R: Performance on clinical tests of balance in Parkinson's disease. Phys Ther. 1998, 78 (6): 577-592.PubMedGoogle Scholar
- Tanji H, Gruber-Baldini AL, Anderson KE, Pretzer-Aboff I, Reich SG, Fishman PS, Weiner WJ, Shulman LM: A comparative study of physical performance measures in Parkinson's disease. Mov Disord. 2008, 23 (13): 1897-1905. 10.1002/mds.22266.View ArticlePubMedGoogle Scholar
- Yancosek KE, Howell D: A narrative review of dexterity assessments. J Hand Ther. 2009, 22 (3): 258-269. 10.1016/j.jht.2008.11.004. quiz 270View ArticlePubMedGoogle Scholar
- Oxford Grice K, Vogel KA, Le V, Mitchell A, Muniz S, Vollmer MA: Adult norms for a commercially available Nine Hole Peg Test for finger dexterity. Am J Occup Ther. 2003, 57 (5): 570-573. 10.5014/ajot.57.5.570.View ArticlePubMedGoogle Scholar
- Jenkinson C, Fitzpatrick R, Peto V, Greenhall R, Hyman N: The Parkinson's Disease Questionnaire (PDQ-39): development and validation of a Parkinson's disease summary index score. Age Ageing. 1997, 26 (5): 353-357. 10.1093/ageing/26.5.353.View ArticlePubMedGoogle Scholar
- Martinez-Martin P, Frades Payo B: Quality of life in Parkinson's disease: validation study of the PDQ-39 Spanish version. The Grupo Centro for Study of Movement Disorders. J Neurol. 1998, 245 (Suppl 1): S34-38. 10.1007/PL00007737.View ArticlePubMedGoogle Scholar
- Peto V, Jenkinson C, Fitzpatrick R: Determining minimally important differences for the PDQ-39 Parkinson's disease questionnaire. Age Ageing. 2001, 30 (4): 299-302. 10.1093/ageing/30.4.299.View ArticlePubMedGoogle Scholar
- Cavanaugh JT, Coleman KL, Gaines JM, Laing L, Morey MC: Using step activity monitoring to characterize ambulatory activity in community-dwelling older adults. J Am Geriatr Soc. 2007, 55 (1): 120-124. 10.1111/j.1532-5415.2006.00997.x.View ArticlePubMedGoogle Scholar
- Salarian A, Russmann H, Vingerhoets FJ, Burkhard PR, Aminian K: Ambulatory monitoring of physical activities in patients with Parkinson's disease. IEEE Trans Biomed Eng. 2007, 54 (12): 2296-2299. 10.1109/TBME.2007.896591.View ArticlePubMedGoogle Scholar
- White DK, Wagenaar RC, Del Olmo ME, Ellis TD: Test-retest reliability of 24 hours of activity monitoring in individuals with Parkinson's disease in home and community. Neurorehabil Neural Repair. 2007, 21 (4): 327-340. 10.1177/1545968306297867.View ArticlePubMedGoogle Scholar
- White DK, Wagenaar RC, Ellis T: Monitoring activity in individuals with Parkinson disease: a validity study. J Neurol Phys Ther. 2006, 30 (1): 12-21.View ArticlePubMedGoogle Scholar
- White DK, Wagenaar RC, Ellis TD, Tickle-Degnen L: Changes in walking activity and endurance following rehabilitation for people with Parkinson disease. Arch Phys Med Rehabil. 2009, 90 (1): 43-50. 10.1016/j.apmr.2008.06.034.View ArticlePubMedGoogle Scholar
- Washburn RA, Ficker JL: Physical Activity Scale for the Elderly (PASE): the relationship with activity measured by a portable accelerometer. J Sports Med Phys Fitness. 1999, 39 (4): 336-340.PubMedGoogle Scholar
- Washburn RA, Smith KW, Jette AM, Janney CA: The Physical Activity Scale for the Elderly (PASE): development and evaluation. J Clin Epidemiol. 1993, 46 (2): 153-162. 10.1016/0895-4356(93)90053-4.View ArticlePubMedGoogle Scholar
- Dinger MK, Oman RF, Taylor EL, Vesely SK, Able J: Stability and convergent validity of the Physical Activity Scale for the Elderly (PASE). J Sports Med Phys Fitness. 2004, 44 (2): 186-192.PubMedGoogle Scholar
- Schuit AJ, Schouten EG, Westerterp KR, Saris WH: Validity of the Physical Activity Scale for the Elderly (PASE): according to energy expenditure assessed by the doubly labeled water method. J Clin Epidemiol. 1997, 50 (5): 541-546. 10.1016/S0895-4356(97)00010-3.View ArticlePubMedGoogle Scholar
- Washburn RA, McAuley E, Katula J, Mihalko SL, Boileau RA: The physical activity scale for the elderly (PASE): evidence for validity. J Clin Epidemiol. 1999, 52 (7): 643-651. 10.1016/S0895-4356(99)00049-9.View ArticlePubMedGoogle Scholar
- Marras C, Rochon P, Lang AE: Predicting motor decline and disability in Parkinson disease: a systematic review. Arch Neurol. 2002, 59 (11): 1724-1728. 10.1001/archneur.59.11.1724.View ArticlePubMedGoogle Scholar
- Muslimovic D, Post B, Speelman JD, Schmand B, de Haan RJ: Determinats of disability and quality of life in mild to moderate Parkinson disease. Neurology. 2008, 70: 2241-2247. 10.1212/01.wnl.0000313835.33830.80.View ArticlePubMedGoogle Scholar
- Shulman LM, Gruber-Baldini AL, Anderson KE, Vaughan CG, Reich SG, Fishman PS, Weiner WJ: The evolution of disability in Parkinson disease. Mov Disord. 2008, 23 (6): 790-796. 10.1002/mds.21879.View ArticlePubMedGoogle Scholar
- Shulman LM, Pretzer-Aboff I, Anderson KE, Stevenson R, Vaughan CG, Gruber-Baldini AL, Reich SG, Weiner WJ: Subjective report versus objective measurement of activities of daily living in Parkinson's disease. Mov Disord. 2006, 21 (6): 794-799. 10.1002/mds.20803.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2377/10/110/prepub