Comparison of Activity Monitors Accuracy in Assessing Intermittent Outdoor Walking

Taoum, Aline; Chaudru, Ségolène; Müllenheim, Pierre-Yves de; Congnard, Florian; Emily, Mathieu; Noury-Desvaux, Bénédicte; Bickert, Sandrine; Carrault, Guy; Faucheur, Alexis Le

doi:10.1249/mss.0000000000002587

Cited by 10 publications

(8 citation statements)

References 49 publications

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“…Only 14 studies were performed in other countries (Brazil, n = 6 [ 46 , 49 , 57 , 62 , 63 , 133 ]; Japan, n = 4 [ 59 , 73 , 134 , 135 ]; Australia, n = 3 [ 60 , 90 , 136 ]; Czech Republic, n = 1 [ 65 ]). Of the 103 included studies, 65 were performed in a laboratory setting with protocolled activities [ 23 , 40 – 46 , 49 , 51 – 59 , 61 – 66 , 70 , 72 , 75 , 78 – 80 , 83 , 86 , 88 – 90 , 92 , 93 , 95 – 97 , 101 , 103 , 104 , 107 , 109 , 111 – 115 , 119 , 120 , 122 , 123 , 125 , 126 , 128 – 133 , 137 – 139 ], 28 during free-living (activities of own choice) [ 50 , 60 , 67 , 68 , 71 , 73 , 76 , 82 , 87 , 91 , 94 , 98 – 100 , 102 , 105 , 106 , ...…”

Section: Resultsmentioning

confidence: 99%

“…In the majority of studies ( n = 60), PA was measured by means of only walking tasks or by using walking-related PA outcomes (e.g. steps, walked distance) [ 23 , 40 , 41 , 43 , 44 , 46 , 47 , 49 , 52 – 54 , 56 – 58 , 61 , 62 , 64 – 67 , 69 , 72 , 74 , 75 , 77 , 78 , 83 – 85 , 89 , 90 , 92 , 93 , 97 , 98 , 101 , 103 , 104 , 107 – 109 , 112 , 113 , 115 , 119 , 121 , 123 , 126 – 130 , 132 , 133 , 136 – 139 , 141 ].…”

Section: Resultsmentioning

confidence: 99%

“…Measurement properties of a type of ActiGraph were determined in 28 studies, with 24 studies evaluating type GT3 [ 23 , 40 , 43 – 45 , 49 , 51 , 55 , 61 , 64 , 81 , 84 , 89 , 94 – 96 , 104 , 105 , 108 , 112 , 114 – 116 , 139 ] and four studies evaluating type GT9 [ 76 , 79 , 93 , 107 ] (Table 2 ). Only validity was measured in these 28 studies, with 27 determining criterion validity, and 1 construct validity [ 105 ].…”

Section: Resultsmentioning

confidence: 99%

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Measurement properties of device-based physical activity instruments in ambulatory adults with physical disabilities and/or chronic diseases: a scoping review

Brandenbarg,

Hoekstra,

Barakou

et al. 2023

BMC Sports Sci Med Rehabil

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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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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Measurement properties of device-based physical activity instruments in ambulatory adults with physical disabilities and/or chronic diseases: a scoping review

Brandenbarg,

Hoekstra,

Barakou

et al. 2023

BMC Sports Sci Med Rehabil

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“…To allow a more user-friendly experience than using R software when analyzing GPS walking data, we developed a shiny app available on the Web. Of note, a web platform just recently released ( , accessed on 2 April 2021) along with a published paper [ 26 ] now allows a full automatisation of speed data analysis, rather than manually building speed data filters that would be the best suited for the detection of walking and stopping bouts performed during the session. Unfortunately, the web platform does not yet provide contextual information (map, coordinates) nor a full summary of the walking session results as proposed when using the shiny app.…”

Section: Discussionmentioning

confidence: 99%

Measuring Outdoor Walking Capacities Using Global Positioning System in People with Multiple Sclerosis: Clinical and Methodological Insights from an Exploratory Study

Delahaye¹,

Chaves²,

Congnard³

et al. 2021

Sensors

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We aimed at showing how Global Positioning System (GPS) along with a previously validated speed processing methodology could be used to measure outdoor walking capacities in people with multiple sclerosis (MS). We also deal with methodological issues that may occur when conducting such measurements, and explore to what extent GPS-measured outdoor walking capacities (maximal walking distance [MWDGPS] and usual walking speed) could be related to traditional functional outcomes (6-min total walking distance) in people with MS. Eighteen people with MS, with an Expanded Disability Status Scale score ≤6, completed a 6-min walking test and an outdoor walking session (60 min maximum) at usual pace during which participants were wearing a DG100 GPS receiver and could perform several walking bouts. Among the 12 participants with valid data (i.e., who correctly completed the outdoor session with no spurious GPS signals that could prevent the detection of the occurrence of a walking/stopping bout), the median (90% confidence interval, CI) outdoor walking speed was 2.52 km/h (2.17; 2.93). Ten participants (83% (56; 97)) had ≥1 stop during the session. Among these participants, the median of MWDGPS was 410 m (226; 1350), and 40% (15; 70) did not reach their MWDGPS during the first walking bout. Spearman correlations of MWDGPS and walking speed with 6-min total walking distance were, respectively, 0.19 (−0.41; 0.95) and 0.66 (0.30; 1.00). Further work is required to provide guidance about GPS assessment in people with MS.

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“…A third population was studied: patients with peripheral arterial disease (PAD) with monitoring of physical activity (number of steps and stops, distance travelled). The proposed algorithm, developed in [30,31], was used for data processing. It is worth mentioning that no specific activities were recommended.…”

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confidence: 99%

Deleterious Effect of Participant Positioning on the Acceptability and Acceptance of a Wellness Management System under Development

et al. 2021

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Managing everyday wellness using sensors requires user buy-in and acceptance. The Unified Theory of Acceptance and Use of Technology (UTAUT) was used to measure at D-0 the acceptability (a priori), and at D-21 the acceptance of an ambulatory monitoring system under development, the SHERPAM system. Interviews with the participants revealed that they no longer viewed the system in the same way at the different stages of the study. The results of the qualitative analysis suggest that the time of the research led the participants to stop seeing themselves as potential future users and to take on the role of critical testers of the technology (which corresponds more to a user test). This role change led participants to question the usefulness of the technology, which affected their intention to use the technology in the future (5.30 vs. 4.24; t = 2.58 *). This research identified the reasons why it was crucial to have a fully functional device in the second phase (acceptance study). The results of this study suggest that it is inappropriate to undertake an acceptability study when the technology is under development. While the SHERPAM platform has been the subject of several user tests, none have been carried out in a situation of use. Thus, this study seems to suggest that the dysfunctions observed are more related to the absence of a development phase in the daily activity of the users. Thus, to ensure a good appropriation of the technology and to predict its use, the technology must not only be in perfect working order, but must also have been developed according to the daily activities of the individuals.

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Comparison of Activity Monitors Accuracy in Assessing Intermittent Outdoor Walking

Cited by 10 publications

References 49 publications

Measurement properties of device-based physical activity instruments in ambulatory adults with physical disabilities and/or chronic diseases: a scoping review

Measurement properties of device-based physical activity instruments in ambulatory adults with physical disabilities and/or chronic diseases: a scoping review

Measuring Outdoor Walking Capacities Using Global Positioning System in People with Multiple Sclerosis: Clinical and Methodological Insights from an Exploratory Study

Deleterious Effect of Participant Positioning on the Acceptability and Acceptance of a Wellness Management System under Development

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