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The Physical Activity Scale for the Elderly (PASE) is a self-report questionnaire on exercise, home, and work-related physical activities performed during the last week. PASE has shown to be reliable and valid in different populations of people between 65 and 100 years of age and after stroke. However, its validation on stroke was based on another self report questionnaire that assess physical activity called ''Senior Fitness Test''. Since accelerometers are more objective methods to assess PA, to the best of our knowledge, self-report physical activity questionnaires should be validated based on accelerometer derived physical activity data. The aim of this study is to validate PASE in patients with stroke based on accelerometer data.
The Physical Activity Scale for the Elderly (PASE) is a self-report questionnaire on exercise, home, and work-related physical activities performed during the last week. PASE has shown to be reliable and valid in different populations of people between 65 and 100 years of age and after stroke. However, its validation on stroke was based on another self report questionnaire that assess physical activity (PA) called ''Senior Fitness Test''. There are four methods to measure physical activity: 1. Self-Report Questionnaires 2.Self-Report Activity Diaries/Logs 3.Direct Observation 4. Devices (Accelerometers, pedometers, arm band, Heart-Rate Monitors). Accelerometers can measure PA accurately and have ability capture large amounts of data. Accelerometers measure acceleration (activity counts:AC) in real time and detect movement in up to three orthogonal planes (anteroposterior, mediolateral, and vertical) These counts are then translated into a metric of interest, which can be biological (e.g. energy expenditure) or PA patterns (e.g. stationary). There are pros and cons of measurement methods of physical activity. Strengths of accelerometers include minute-by-minute on-line monitoring, capturing intensity level. Accumulated AC provide an accurate estimate of the duration and intensity of body movement at the waist and were summed across the whole day to assess total PA volume. However, accelerometers are expensive and require technical expertise, specialized hardware, software, and individual programming. Self-report PA measurement methods are able to measure large numbers of participants at low cost. Since accelerometers are more objective methods to assess PA, to the best of our knowledge, self-report physical activity questionnaires should be validated based on accelerometer derived physical activity data. The aim of this study is to validate PASE in patients with stroke based on accelerometer data.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients with subacute chronic stroke | Patients with subacute chronic stroke between the ages of 40-80 |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Actical accelerometers (Philips Respironics) | Device | patients with stroke will be evaluated by using PASE scale and accelerometer results (accelerometer will be held from Monday to Friday |
| Measure | Description | Time Frame |
|---|---|---|
| PASE | Physical Activity Score for Elderly | Day 0 |
| Measure | Description | Time Frame |
|---|---|---|
| ACtotal | Total activity count obtained from accelerometer | Day 0 |
| EE total | Total energy expenditure obtained from accelerometer | Day 0 |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with stroke between the ages of 40-80 who can walk independently or with an assistive device
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| Name | Affiliation | Role |
|---|---|---|
| Evrim Karadag Saygi, Prof | Marmara University | Study Chair |
| Esra Giray, MD | Marmara University | Principal Investigator |
| Nurullah Eren, PT | Marmara University School of Health Sciences | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Esra Giray | Istanbul | 34899 | Turkey (Türkiye) |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| Background | Marianne Lindahl, Lotte Hansen, Anders Pedersen, Thomas Truelsen & Gudrun Boysen (2008) Self-reported physical activity after ischemic stroke correlates with physical capacity, Advances in Physiotherapy, 10:4, 188-194, DOI: 10.1080/14038190802490025 | ||
| 25988109 | Result | Hills AP, Mokhtar N, Byrne NM. Assessment of physical activity and energy expenditure: an overview of objective measures. Front Nutr. 2014 Jun 16;1:5. doi: 10.3389/fnut.2014.00005. eCollection 2014. | |
| 27013578 |
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| ID | Term |
|---|---|
| D020521 | Stroke |
| D009043 | Motor Activity |
| ID | Term |
|---|---|
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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| PASE | Other | Physical Activity Scale for Elderly |
|
| AC moderate | activity counts derived from accelerometer during moderate physical activity | Day 0 |
| EE moderate | energy expenditure obtained from accelerometer during moderate physical activity | Day 0 |
| AC light | activity counts derived from accelerometer during light physical activity | Day 0 |
| EE light | energy expenditure obtained from accelerometer during light physical activity | Day 0 |
| AC vigorous | activity counts derived from accelerometer during vigorous physical activity | Day 0 |
| EE vigorous | energy expenditure obtained from accelerometer during vigorous physical activity | Day 0 |
| AC sedentary | activity counts derived from accelerometer during sedentary physical activity | Day 0 |
| EE sedentary | energy expenditure obtained from accelerometer during sedentary physical activity | Day 0 |
| step count | total step count obtained from accelerometer | Day 0 |
| Stroke Impact Scale total score | Stroke Impact Scale is a stroke specific quality of life scale. The current version of the SIS (SIS version 3.0) is a 59-item patient-reported outcome measure, covering 8 domains: strength (4 items), hand function (5 items), mobility (9 items), activities of daily living (10 items), memory (7 items), communication (7 items), emotion (9 items), and handicap (8 items). Domains are scored on a metric of 0 to 100, with higher scores indicating better self-reported health. Four of the scales of the SIS can be combined into a composite physical domain (strength, hand function, physical and instrumental activities of daily living, and mobility), with scores also presented on a 0 to 100 metric. | Day 0 |
| Result |
| Persson CU, Hansson PO, Lappas G, Danielsson A. Physical Activity Levels and Their Associations With Postural Control in the First Year After Stroke. Phys Ther. 2016 Sep;96(9):1389-96. doi: 10.2522/ptj.20150367. Epub 2016 Mar 24. |
| 24290836 | Result | Sylvia LG, Bernstein EE, Hubbard JL, Keating L, Anderson EJ. Practical guide to measuring physical activity. J Acad Nutr Diet. 2014 Feb;114(2):199-208. doi: 10.1016/j.jand.2013.09.018. Epub 2013 Nov 28. No abstract available. |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D001519 | Behavior |