Comparison of Wearable Activity Tracker with Actigraphy for Sleep Evaluation and Circadian Rest-Activity Rhythm Measurement in Healthy Young Adults

Hyun-Ah Lee, Heon-Jeong Lee, Joung-Ho Moon, Taek Lee, Min-Gwan Kim, Hoh In, Chul-Hyun Cho, Leen Kim, Hyun-Ah Lee, Heon-Jeong Lee, Joung-Ho Moon, Taek Lee, Min-Gwan Kim, Hoh In, Chul-Hyun Cho, Leen Kim

Abstract

Objective: The purpose of this study was to evaluate the applicability of data obtained from a wearable activity tracker (Fitbit Charge HR) to medical research. This was performed by comparing the wearable activity tracker (Fitbit Charge HR) with actigraphy (Actiwatch 2) for sleep evaluation and circadian rest-activity rhythm measurement.

Methods: Sixteen healthy young adults (female participants, 62.5%; mean age, 22.8 years) wore the Fitbit Charge HR and the Actiwatch 2 on the same wrist; a sleep log was recorded over a 14-day period. We compared the sleep variables and circadian rest-activity rhythm measures with Wilcoxon signed-rank tests and Spearman's correlations.

Results: The periods and acrophases of the circadian rest-activity rhythms and the sleep start times did not differ and correlated significantly between the Fitbit Charge HR and the Actiwatch 2. The Fitbit Charge HR tended to overestimate the sleep durations compared with the Actiwatch 2. However, the sleep durations showed high correlation between the two devices for all days.

Conclusion: We found that the Fitbit Charge HR showed high accuracy in sleep evaluation and circadian rest-activity rhythm measurement when compared with actigraphy for healthy young adults. The results suggest that the Fitbit Charge HR could be applicable on medical research as an alternative tool to actigraphy for sleep evaluation and measurement of the circadian rest-activity rhythm.

Keywords: Actigraphy; Circadian rest-activity rhythm; Comparison; Sleep; Wearable activity tracker.

Figures

Figure 1. Scatter plot of sleep start…
Figure 1. Scatter plot of sleep start time between Actiwatch 2 and Fitbit Charge HR. Sleep start time was compared between the two devices for all participants. Each of sleep start time was assessed from two different devices. For analysis, sleep start time was calculated by time had passed from 18:00, and converted to minutes. Each number of axis x and y indicate the sleep start time, that is total time (minutes) has passed from 18:00 to sleep start time. The black spots are all values of sleep start time between Actiwatch 2 and Fitbit Charge HR. The solid line indicates correlation coefficient of Spearman's correlation (r=0.869, p
Figure 2. Scatter plot of sleep duration…
Figure 2. Scatter plot of sleep duration between Actiwatch 2 and Fitbit Charge HR. Sleep duration was compared between the two devices for all participants. Each of sleep duration was assessed from two different devices. Each number of axis x and y indicate the sleep duration. The black spots are all values of sleep duration between Actiwatch 2 and Fitbit Charge HR. The solid line indicates correlation coefficient of Spearman's correlation (r=0.918, p

References

    1. Lee H, Cho CH, Kim L. Human Circadian Rhythms. Sleep Med Psychophysiol. 2014;21:51–60.
    1. Wager-Smith K, Kay SA. Circadian rhythm genetics: from flies to mice to humans. Nat Genet. 2000;26:23–27.
    1. Czeisler CA, Klerman EB. Circadian and sleep-dependent regulation of hormone release in humans. Recent Prog Horm Res. 1999;54:97–130.
    1. Wirz-Justice A. Biological rhythm disturbances in mood disorders. Int Clin Psychopharmacol. 2006;21(Suppl 1):S11–S15.
    1. Hannibal J, Jamen F, Nielsen HS, Journot L, Brabet P, Fahrenkrug J. Dissociation between light-induced phase shift of the circadian rhythm and clock gene expression in mice lacking the pituitary adenylate cyclase activating polypeptide type 1 receptor. J Neurosci. 2001;21:4883–4890.
    1. Klein T, Martens H, Dijk DJ, Kronauer RE, Seely EW, Czeisler CA. Circadian sleep regulation in the absence of light perception: chronic non-24-hour circadian rhythm sleep disorder in a blind man with a regular 24-hour sleep-wake schedule. Sleep. 1993;16:333–343.
    1. Ahlersova E, Ahlers I, Smajda B, Kassayova M. The effect of various photoperiods on daily oscillations of serum corticosterone and insulin in rats. Physiol Res. 1992;41:315–321.
    1. Morgenthaler T, Alessi C, Friedman L, Owens J, Kapur V, Boehlecke B, et al. Practice parameters for the use of actigraphy in the assessment of sleep and sleep disorders: an update for 2007. Sleep. 2007;30:519–529.
    1. Ancoli-Israel S, Cole R, Alessi C, Chambers M, Moorcroft W, Pollak CP. The role of actigraphy in the study of sleep and circadian rhythms. Sleep. 2003;26:342–392.
    1. Sadeh A. The role and validity of actigraphy in sleep medicine: an update. Sleep Med Rev. 2011;15:259–267.
    1. Sadeh A, Acebo C. The role of actigraphy in sleep medicine. Sleep Med Rev. 2002;6:113–124.
    1. Sri Kantha S, Suzuki J. Sleep quantitation in common marmoset, cotton top tamarin and squirrel monkey by non-invasive actigraphy. Comp Biochem Physiol A Mol Integr Physiol. 2006;144:203–210.
    1. Kushida CA, Chang A, Gadkary C, Guilleminault C, Carrillo O, Dement WC. Comparison of actigraphic, polysomnographic, and subjective assessment of sleep parameters in sleep-disordered patients. Sleep Med. 2001;2:389–396.
    1. Shih PC, Han K, Poole ES, Rosson MB, Carroll JM. Use and adoption challenges of wearable activity trackers; iConference 2015 Proceedings; 2015.
    1. Kelly JM, Strecker RE, Bianchi MT. Recent developments in home sleep-monitoring devices. ISRN Neurol. 2012;2012:768794.
    1. Montgomery-Downs HE, Insana SP, Bond JA. Movement toward a novel activity monitoring device. Sleep Breath. 2012;16:913–917.
    1. Paul SS, Tiedemann A, Hassett LM, Ramsay E, Kirkham C, Chagpar S, et al. Validity of the Fitbit activity tracker for measuring steps in community-dwelling older adults. BMJ Open Sport Exerc Med. 2015;1:e000013.
    1. Gusmer RJ, Bosch TA, Watkins AN, Ostrem JD, Dengel DR. Comparison of FitBit® Ultra to ActiGraph™ GT1M for Assessment of Physical Activity in Young Adults During Treadmill Walking. Open Sports Med J. 2014;8:11–15.
    1. de Zambotti M, Claudatos S, Inkelis S, Colrain IM, Baker FC. Evaluation of a consumer fitness-tracking device to assess sleep in adults. Chronobiol Int. 2015;32:1024–1028.
    1. Lee JM, Kim Y, Welk GJ. Validity of consumer-based physical activity monitors. Med Sci Sports Exerc. 2014;46:1840–1848.
    1. Kooiman TJ, Dontje ML, Sprenger SR, Krijnen WP, van der Schans CP, de Groot M. Reliability and validity of ten consumer activity trackers. BMC Sports Sci Med Rehabil. 2015;7:24.
    1. Murphy SL. Review of physical activity measurement using accelerometers in older adults: considerations for research design and conduct. Prev Med. 2009;48:108–114.
    1. van de Wouw E, Evenhuis HM, Echteld MA. Comparison of two types of Actiwatch with polysomnography in older adults with intellectual disability: a pilot study. J Intellect Dev Disabil. 2013;38:265–273.
    1. Meltzer LJ, Walsh CM, Traylor J, Westin AM. Direct comparison of two new actigraphs and polysomnography in children and adolescents. Sleep. 2012;35:159–166.
    1. Laurikkala J, Juhola M, Kentala E, Lavrac N, Miksch S, Kavsek B. The Fifth International Workshop on Intelligent Data Analysis in Medicine and Pharmacology. 2000. Informal identification of outliers in medical data; pp. 20–24.
    1. Tabata M, Takeshima T, Burioka N, Nomura T, Ishizaki K, Mori N, et al. Cosinor analysis of heart rate variability in ambulatory migraineurs. Headache. 2000;40:457–463.
    1. Tully MA, McBride C, Heron L, Hunter RF. The validation of Fibit Zip™ physical activity monitor as a measure of free-living physical activity. BMC Res Notes. 2014;7:952.
    1. Mundigler G, Delle-Karth G, Koreny M, Zehetgruber M, Steindl-Munda P, Marktl W, et al. Impaired circadian rhythm of melatonin secretion in sedated critically ill patients with severe sepsis. Crit Care Med. 2002;30:536–540.
    1. Souêtre E, Salvati E, Belugou JL, Pringuey D, Candito M, Krebs B, et al. Circadian rhythms in depression and recovery: evidence for blunted amplitude as the main chronobiological abnormality. Psychiatry Res. 1989;28:263–278.
    1. Lachin JM. Introduction to sample size determination and power analysis for clinical trials. Control Clin Trials. 1981;2:93–113.
    1. Signal TL, Gale J, Gander PH. Sleep measurement in flight crew: comparing actigraphic and subjective estimates to polysomnography. Aviat Space Environ Med. 2005;76:1058–1063.
    1. Bušek P, Vaňková J, Opavský J, Salinger J, Nevšímalová S. Spectral analysis of the heart rate variability in sleep. Physiol Res. 2005;54:369–376.
    1. Shanahan TL, Czeisler CA. Light exposure induces equivalent phase shifts of the endogenous circadian rhythms of circulating plasma melatonin and core body temperature in Men. J Clin Endocrinol Metab. 1991;73:227–235.
    1. Grandin LD, Alloy LB, Abramson LY. The social zeitgeber theory, circadian rhythms, and mood disorders: review and evaluation. Clin Psychol Rev. 2006;26:679–694.
    1. McClung CA. Circadian genes, rhythms and the biology of mood disorders. Pharmacol Ther. 2007;114:222–232.
    1. Benedetti F, Serretti A, Colombo C, Barbini B, Lorenzi C, Campori E, et al. Influence of CLOCK gene polymorphism on circadian mood fluctuation and illness recurrence in bipolar depression. Am J Med Genet B Neuropsychiatr Genet. 2003;123B:23–26.
    1. Lee HJ, Son GH, Geum D. Circadian rhythm hypotheses of mixed features, antidepressant treatment resistance, and manic switching in bipolar disorder. Psychiatry Investig. 2013;10:225–232.

Source: PubMed

3
Prenumerera