A meta-analysis of Fitbit devices: same company, different models, different validity evidence. (17th February 2022)
- Record Type:
- Journal Article
- Title:
- A meta-analysis of Fitbit devices: same company, different models, different validity evidence. (17th February 2022)
- Main Title:
- A meta-analysis of Fitbit devices: same company, different models, different validity evidence
- Authors:
- Leung, Willie
Case, Layne
Sung, Ming-Chih
Jung, Jaehun - Abstract:
- Abstract: Fitbit devices are among the most commonly used physical activity devices used by the general public. Multiple studies have examined the validity evidence of Fitbit devices of estimating energy expenditure during physical activity compared to criterion references. However, the literature lacks objective, summary validity evidence that supports the use of various models of Fitbit devices. Therefore, this study aims (a) to examine the validity evidence among the various models of Fitbit devices and (b) to investigate the influence of several device factors on the validity evidence of Fitbit models using meta-analysis. A total of 402 articles were identified through five databases. Upon review of the articles, 29 studies were included in the meta-analysis. Seven different moderator variables, including Fitbit model, device placement, type of device, heart rate capability, release year of devices, activity types and sedentary activity, were identified and included in the meta-analysis to examine their impact on the validity evidence of Fitbit devices. The summarised validity coefficient of energy expenditure during physical activity estimated by Fitbit devices and measured by criterion references was r =.64 ( k = 29, 95% CI [.59, .69], p <.001). Fitbit model was not found to be a significant factor impacting validity evidence of Fitbit devices, but heart rate capability, activity types and sedentary activity were found to be significant factors impacting validityAbstract: Fitbit devices are among the most commonly used physical activity devices used by the general public. Multiple studies have examined the validity evidence of Fitbit devices of estimating energy expenditure during physical activity compared to criterion references. However, the literature lacks objective, summary validity evidence that supports the use of various models of Fitbit devices. Therefore, this study aims (a) to examine the validity evidence among the various models of Fitbit devices and (b) to investigate the influence of several device factors on the validity evidence of Fitbit models using meta-analysis. A total of 402 articles were identified through five databases. Upon review of the articles, 29 studies were included in the meta-analysis. Seven different moderator variables, including Fitbit model, device placement, type of device, heart rate capability, release year of devices, activity types and sedentary activity, were identified and included in the meta-analysis to examine their impact on the validity evidence of Fitbit devices. The summarised validity coefficient of energy expenditure during physical activity estimated by Fitbit devices and measured by criterion references was r =.64 ( k = 29, 95% CI [.59, .69], p <.001). Fitbit model was not found to be a significant factor impacting validity evidence of Fitbit devices, but heart rate capability, activity types and sedentary activity were found to be significant factors impacting validity evidence. This study found that not all Fitbit models have a similar ability in estimating energy expenditure during physical activity. Continued research is needed in examining the validity evidence of Fitbit devices, especially considering some factors may affect the validity evidence in measuring energy expenditure during physical activity. … (more)
- Is Part Of:
- Journal of medical engineering & technology. Volume 46:Number 2(2022)
- Journal:
- Journal of medical engineering & technology
- Issue:
- Volume 46:Number 2(2022)
- Issue Display:
- Volume 46, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 46
- Issue:
- 2
- Issue Sort Value:
- 2022-0046-0002-0000
- Page Start:
- 102
- Page End:
- 115
- Publication Date:
- 2022-02-17
- Subjects:
- Fitness tracker -- wearable device -- wearable technology -- psychometrics -- physical activity measurements
Biomedical engineering -- Periodicals
Medical technology -- Periodicals
610.28 - Journal URLs:
- http://informahealthcare.com/journal/jmt ↗
http://www.tandfonline.com/toc/ijmt20/current ↗
http://informahealthcare.com ↗
http://www.tandf.co.uk/journals/titles/03091902.asp ↗ - DOI:
- 10.1080/03091902.2021.2006350 ↗
- Languages:
- English
- ISSNs:
- 0309-1902
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5017.057000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 20766.xml