For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
10
views
7
references
 Top references
cited by
12
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      467
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A practical validation study of a commercial accelerometer using good and poor sleepers

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          We validated a Fitbit sleep tracking device against typical research-use actigraphy across four nights on 38 young adults. Fitbit devices overestimated sleep and were less sensitive to differences compared to the Actiwatch, but nevertheless captured 88 (poor sleepers) to 98 percent (good sleepers) of Actiwatch estimated sleep time changes. Bland–Altman analysis shows that the average difference between device measurements can be sizable. We therefore do not recommend the Fitbit device when accurate point estimates are important. However, when qualitative impacts are of interest (e.g. the effect of an intervention), then the Fitbit device should at least correctly identify the effect’s sign.

          Related collections

          Most cited references7

          • Record: found
          • Abstract: found
          • Article: not found

          Movement toward a novel activity monitoring device.

          Peter J. Bond, Sara Downs, Salvatore Insana (2012)
          Although polysomnography is necessary for diagnosis of most sleep disorders, it is also expensive, time-consuming, intrusive, and interferes with sleep. Field-based activity monitoring is increasingly used as an alternative measure that can be used to answer certain clinical and research questions. The purpose of this study was to evaluate the reliability and validity of a novel activity monitoring device (Fitbit) compared to both polysomnography and standard actigraphy (Actiwatch-64). To test validity, simultaneous Fitbit and actigraph were worn during standard overnight polysomnography by 24 healthy adults at the West Virginia University sleep research laboratory. To test inter-Fitbit reliability, three participants also wore two of the Fitbit devices overnight at home. Fitbit showed high intradevice reliability = 96.5-99.1. Fitbit and actigraph differed significantly on recorded total sleep time and sleep efficiency between each other and polysomnography. Bland-Altman plots indicated that both Fitbit and actigraph overestimated sleep efficiency and total sleep time. Sensitivity of both Fitbit and actigraphy for accurately identifying sleep was high within all sleep stages and during arousals; specificity of both Fitbit and actigraph for accurately identifying wake was poor. Specificity of actigraph was higher except for wake before sleep onset; sensitivity of Fitbit was higher in all sleep stages and during arousals. The web-based Fitbit, available at a markedly reduced price and with several convenience factors compared to standard actigraphy, may be an acceptable activity measurement instrument for use with normative populations. However, Fitbit has the same specificity limitations as actigraphy; both devices consistently misidentify wake as sleep and thus overestimate both sleep time and quality. Use of the Fitbit will also require specific validation before it can be used to assess disordered populations and or different age groups.
          Article 0 comments Cited 96 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Poor sleep is associated with poorer physical performance and greater functional limitations in older women.

            Suzanne Goldman, Katie Stone, Sonia Ancoli-Israel … (2007)
            This study examined the association between disturbed sleep and poorer daytime function in older women. Observational study. 2,889 women, mean age 83.5 years, participating in the 2002-2004 examination of the Study of Osteoporotic Fractures. N/A. Participants wore actigraphs for an average +/- SD of 4.1 +/- 0.83 24-hour periods. Actigraphy measured sleep variables were total sleep time and hours awake after sleep onset during the night and daytime napping behavior. Neuromuscular performance measurements included gait speed, chair stands, and grip strength. Functional limitations were assessed as self-reported difficulty with one or more of 6 instrumental activities of daily living (IADL). In fully adjusted, multivariable models, women who slept or =7.5 hours took 4.1% longer to complete 5 chair stands than those who slept 6.8-7.5 hours. With higher wake after sleep onset (> or =1.6 hours compared to <0.7 hours) gait speed was 9.1% slower; it took 7.6% longer to complete 5 chair stands, and odds of functional limitation were 1.8 (95% CI: 1.4, 2.4) higher. Women with 1.0-1.8 hours of daytime sleep had higher odds (1.4 [95% CI: 1.1, 1.8]) of a functional limitation than those with <0.5 hours. Sleep variables did not appear to be associated with grip strength. Objectively measured poorer sleep was associated with worse physical function. Future research is needed to identify the underlying mechanisms for the association between poor sleep and functional decline.
            Article 0 comments Cited 58 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Evaluation of a consumer fitness-tracking device to assess sleep in adults.

              Massimiliano de Zambotti, Stephanie Claudatos, Sarah Inkelis … (2015)
              Wearable fitness-tracker devices are becoming increasingly available. We evaluated the agreement between Jawbone UP and polysomnography (PSG) in assessing sleep in a sample of 28 midlife women. As shown previously, for standard actigraphy, Jawbone UP had high sensitivity in detecting sleep (0.97) and low specificity in detecting wake (0.37). However, it showed good overall agreement with PSG with a maximum of two women falling outside Bland-Altman plot agreement limits. Jawbone UP overestimated PSG total sleep time (26.6 ± 35.3 min) and sleep onset latency (5.2 ± 9.6 min), and underestimated wake after sleep onset (31.2 ± 32.3 min) (p's < 0.05), with greater discrepancies in nights with more disrupted sleep. The low-cost and wide-availability of these fitness-tracker devices may make them an attractive alternative to standard actigraphy in monitoring daily sleep-wake rhythms over several days.
              Article 0 comments Cited 42 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Journal
                Journal ID (nlm-ta): Health Psychol Open
                Journal ID (iso-abbrev): Health Psychol Open
                Journal ID (publisher-id): HPO
                Journal ID (hwp): sphpo
                Title: Health Psychology Open
                Publisher: SAGE Publications (Sage UK: London, England )
                ISSN (Electronic): 2055-1029
                Publication date (Electronic): 29 November 2016
                Publication date Collection: July 2016
                Volume: 3
                Issue: 2
                Electronic Location Identifier: 2055102916679012
                Affiliations
                [1 ]Appalachian State University, USA
                [2 ]Institute for the Study of Labor (IZA), Germany
                [3 ]Chapman University, USA
                [4 ]National Council for Community and Education Partnerships, USA
                Author notes
                [*]David L Dickinson, Department of Economics and Center for Economic Research & Policy Analysis, Appalachian State University, 416 Howard Street, Boone, NC 28608, USA. Email: dickinsondl@ 123456appstate.edu
                Article
                Publisher ID: 10.1177_2055102916679012
                DOI: 10.1177/2055102916679012
                PMC ID: 5221738
                PubMed ID: 28815052
                SO-VID: 558f9372-0cab-4b27-a63f-163a2766d756
                Copyright © © The Author(s) 2016
                License:

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License ( http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                Categories
                Subject: Report of Empirical Study
                Custom metadata
                cover-date July-December 2016

                Keywords: actigraphy,fitbit,longitudinal studies,sleep,validation studies
                Data availability:
                Keywords: actigraphy, fitbit, longitudinal studies, sleep, validation studies

                Comments

                Comment on this article

                scite_

                Similar content467

                See all similar

                Cited by12

                See all cited by

                Most referenced authors279

                See all reference authors