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Brandenbarg P, Hoekstra F, Barakou I, Seves BL, Hettinga FJ, Hoekstra T, van der Woude LHV, Dekker R, Krops LA. Measurement properties of device-based physical activity instruments in ambulatory adults with physical disabilities and/or chronic diseases: a scoping review. BMC Sports Sci Med Rehabil 2023; 15:115. [PMID: 37735403 PMCID: PMC10512652 DOI: 10.1186/s13102-023-00717-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 08/22/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND People with physical disabilities and/or chronic diseases tend to have an inactive lifestyle. Monitoring physical activity levels is important to provide insight on how much and what types of activities people with physical disabilities and/or chronic diseases engage in. This information can be used as input for interventions to promote a physically active lifestyle. Therefore, valid and reliable physical activity measurement instruments are needed. This scoping review aims 1) to provide a critical mapping of the existing literature and 2) directions for future research on measurement properties of device-based instruments assessing physical activity behavior in ambulant adults with physical disabilities and/or chronic diseases. METHODS Four databases (MEDLINE, CINAHL, Web of Science, Embase) were systematically searched from 2015 to April 16th 2023 for articles investigating measurement properties of device-based instruments assessing physical activity in ambulatory adults with physical disabilities and/or chronic diseases. For the majority, screening and selection of eligible studies were done in duplicate. Extracted data were publication data, study data, study population, device, studied measurement properties and study outcome. Data were synthesized per device. RESULTS One hundred three of 21566 Studies were included. 55 Consumer-grade and 23 research-grade devices were studied on measurement properties, using 14 different physical activity outcomes, in 23 different physical disabilities and/or chronic diseases. ActiGraph (n = 28) and Fitbit (n = 39) devices were most frequently studied. Steps (n = 68) was the most common used physical activity outcome. 97 studies determined validity, 11 studies reliability and 6 studies responsiveness. CONCLUSION This scoping review shows a large variability in research on measurement properties of device-based instruments in ambulatory adults with physical disabilities and/or chronic diseases. The variability highlights a need for standardization of and consensus on research in this field. The review provides directions for future research.
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Affiliation(s)
- Pim Brandenbarg
- Department of Human Movement Sciences, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands.
- Department of Rehabilitation Medicine, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands.
| | - Femke Hoekstra
- Department of Human Movement Sciences, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
- Department of Rehabilitation Medicine, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
- School of Health and Exercise Sciences, University of British Columbia Okanagan, Kelowna, BC, V1V 1V7, Canada
| | - Ioulia Barakou
- Department of Human Movement Sciences, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Bregje L Seves
- Department of Human Movement Sciences, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
- Department of Rehabilitation Medicine, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Florentina J Hettinga
- Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle, NE1 8ST, UK
| | - Trynke Hoekstra
- Department of Rehabilitation Medicine, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
- Department of Health Sciences and Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, 1081 BT, The Netherlands
| | - Lucas H V van der Woude
- Department of Human Movement Sciences, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
- Department of Rehabilitation Medicine, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Rienk Dekker
- Department of Rehabilitation Medicine, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Leonie A Krops
- Department of Rehabilitation Medicine, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
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General estimates of the energy cost of walking in people with different levels and causes of lower-limb amputation: a systematic review and meta-analysis. Prosthet Orthot Int 2021; 45:417-427. [PMID: 34538817 DOI: 10.1097/pxr.0000000000000035] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 07/27/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND Energy cost of walking (ECw) is an important determinant of walking ability in people with a lower-limb amputation. Large variety in estimates of ECw has been reported, likely because of the heterogeneity of this population in terms of level and cause of amputation and walking speed. OBJECTIVES To assess (1) differences in ECw between people with and without a lower-limb amputation, and between people with different levels and causes of amputation, and (2) the association between ECw and walking speed. STUDY DESIGN Systematic review and meta-analysis. METHODS We included studies that compared ECw in people with and without a lower-limb amputation. A meta-analysis was done to compare ECw between both groups, and between different levels and causes of amputation. A second analysis investigated the association between self-selected walking speed and ECw in people with an amputation. RESULTS Out of 526 identified articles, 25 were included in the meta-analysis and an additional 30 in the walking speed analysis. Overall, people with a lower-limb amputation have significantly higher ECw compared to people without an amputation. People with vascular transfemoral amputations showed the greatest difference (+102%) in ECw. The smallest difference (+12%) was found for people with nonvascular transtibial amputations. Slower self-selected walking speed was associated with substantial increases in ECw. CONCLUSION This study provides general estimates on the ECw in people with a lower-limb amputation, quantifying the differences as a function of level and cause of amputation, as well as the relationship with walking speed.
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