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Pubmed for Handhelds

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  • Title: Is it on? An algorithm for discerning wrist-accelerometer non-wear times from sleep/wake activity.
    Author: Kosmadopoulos A, Darwent D, Roach GD.
    Journal: Chronobiol Int; 2016; 33(6):599-603. PubMed ID: 27096291.
    Abstract:
    The accuracy of sleep/wake estimates derived with actigraphy is often dependent on researchers being able to discern non-wear times from sleep or quiescent wakefulness when confronted by discrepancies in a sleep log. Without knowing when an accelerometer is being worn, non-wear could be inferred from periods of inactivity unlikely to occur while in bed. Data collected in our laboratory suggest that more than 50% of inactive periods during time in bed are <8 min in duration. This duration may be an appropriate minimum threshold for routine non-wear classification during self-reported wake. Higher thresholds could be chosen to derive non-wear definitions for self-reported bedtimes depending on the desired level of certainty. To determine non-wear at thresholds of 75%, 95% and 99%, for example, would require periods of inactivity lasting ≥18 min, ≥53 min and ≥85 min, respectively.
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