Concurrent validity of Nokia Go activity tracker in walking and free‐living conditions

Lebleu, Julien; Detrembleur, Christine; Guebels, Camille; Hamblenne, Pauline; Valet, Maxime

doi:10.1111/jep.13125

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…26 The validity of step count measurement has been previously assessed in comparison to reference devices for walking and free-living conditions. 27 For walking, the bias was limited, while for the free-living condition, PA was underestimated in comparison to data from the ActiGraph device. 27 The monitor was worn on the patient's wrist (side based on patient's personal preference).…”

Section: Data Sources/measurementmentioning

confidence: 98%

“…27 For walking, the bias was limited, while for the free-living condition, PA was underestimated in comparison to data from the ActiGraph device. 27 The monitor was worn on the patient's wrist (side based on patient's personal preference). Compliance with monitor wear was assessed by self-reported take off time and post hoc examination of data.…”

Section: Data Sources/measurementmentioning

confidence: 98%

“…Indeed, our fitness tracker (Nokia ® Go) has an excellent agreement with the reference device in a walking task but systematically underestimates step count in comparison to the Actigraph wGT3X-BT in a free living task (41% difference). 27…”

Section: Limitationsmentioning

confidence: 99%

See 2 more Smart Citations

Predicting physical activity recovery after hip and knee arthroplasty? A longitudinal cohort study

Lebleu

Poilvache

Mahaudens

et al. 2021

Brazilian Journal of Physical Therapy

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Background: Recovery of physical activity (PA) after telerehabilitation following knee and hip arthroplasty (TKA-THA) has rarely been studied. An improved understanding of PA recovery is needed, as it could be influenced by many factors such as age, gender or pre-operative physical function.Objectives: To assess PA recovery weekly for 3 months after TKA-THA and to determine perioperative factors that could help predict PA recovery at 3 months. Methods: From one week before until 3 months after surgery, 132 patients wore a fitness tracker continuously. Each patient received personalized and daily exercises and feedback through a tablet. Before and after surgery, patient-reported outcome measures of symptoms, pain, activities of daily living and quality of life were recorded. A one-way repeated-measure ANOVA was used to assess the time effect on step count for each post-operative week. To predict the absolute step count at 3 months post-surgery, a backward multiple linear regression was used. Results: Patients reached their pre-operative PA level at week 7, with no significant additional improvement by 3 months post-surgery. Pre-operative step count, the number of days using crutches and pre-operative symptoms explained 35% of the variability of step count at 3 months. Conclusion: This patient population receiving telerehabilitation reached their pre-operative PA level at 7-week post-surgery with no further improvement over the subsequent 5 weeks. The PA level at 3 months could be predicted by pre-operative step count, duration of crutches use, and pre-operative symptoms.

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Section: Data Sources/measurementmentioning

confidence: 98%

Section: Data Sources/measurementmentioning

confidence: 98%

See 1 more Smart Citation

Predicting physical activity recovery after hip and knee arthroplasty? A longitudinal cohort study

Lebleu

Poilvache

Mahaudens

et al. 2021

Brazilian Journal of Physical Therapy

Self Cite

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Physical activity preferences before and after participation in a 6‐month physical activity intervention among women with metastatic breast cancer

et al. 2019

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Quality Evaluation of Free-living Validation Studies for the Assessment of 24-Hour Physical Behavior in Adults via Wearables: Systematic Review

Giurgiu¹,

Timm²,

Becker³

et al. 2022

JMIR Mhealth Uhealth

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Background Wearable technology is a leading fitness trend in the growing commercial industry and an established method for collecting 24-hour physical behavior data in research studies. High-quality free-living validation studies are required to enable both researchers and consumers to make guided decisions on which study to rely on and which device to use. However, reviews focusing on the quality of free-living validation studies in adults are lacking. Objective This study aimed to raise researchers’ and consumers’ attention to the quality of published validation protocols while aiming to identify and compare specific consistencies or inconsistencies between protocols. We aimed to provide a comprehensive and historical overview of which wearable devices have been validated for which purpose and whether they show promise for use in further studies. Methods Peer-reviewed validation studies from electronic databases, as well as backward and forward citation searches (1970 to July 2021), with the following, required indicators were included: protocol must include real-life conditions, outcome must belong to one dimension of the 24-hour physical behavior construct (intensity, posture or activity type, and biological state), the protocol must include a criterion measure, and study results must be published in English-language journals. The risk of bias was evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2 tool with 9 questions separated into 4 domains (patient selection or study design, index measure, criterion measure, and flow and time). Results Of the 13,285 unique search results, 222 (1.67%) articles were included. Most studies (153/237, 64.6%) validated an intensity measure outcome such as energy expenditure. However, only 19.8% (47/237) validated biological state and 15.6% (37/237) validated posture or activity-type outcomes. Across all studies, 163 different wearables were identified. Of these, 58.9% (96/163) were validated only once. ActiGraph GT3X/GT3X+ (36/163, 22.1%), Fitbit Flex (20/163, 12.3%), and ActivPAL (12/163, 7.4%) were used most often in the included studies. The percentage of participants meeting the quality criteria ranged from 38.8% (92/237) to 92.4% (219/237). On the basis of our classification tree to evaluate the overall study quality, 4.6% (11/237) of studies were classified as low risk. Furthermore, 16% (38/237) of studies were classified as having some concerns, and 72.9% (173/237) of studies were classified as high risk. Conclusions Overall, free-living validation studies of wearables are characterized by low methodological quality, large variability in design, and focus on intensity. Future research should strongly aim at biological state and posture or activity outcomes and strive for standardized protocols embedded in a validation framework. Standardized protocols for free-living validation embedded in a framework are urgently needed to inform and guide stakeholders (eg, manufacturers, scientists, and consumers) in selecting wearables for self-tracking purposes, applying wearables in health studies, and fostering innovation to achieve improved validity.

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Concurrent validity of Nokia Go activity tracker in walking and free‐living conditions

Cited by 4 publications

References 20 publications

Predicting physical activity recovery after hip and knee arthroplasty? A longitudinal cohort study

Predicting physical activity recovery after hip and knee arthroplasty? A longitudinal cohort study

Physical activity preferences before and after participation in a 6‐month physical activity intervention among women with metastatic breast cancer

Quality Evaluation of Free-living Validation Studies for the Assessment of 24-Hour Physical Behavior in Adults via Wearables: Systematic Review

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