Total Sleep Time Estimated by Actigraphy Correlates with Polysomnography-Derived Sleep Time in Commercial Drivers
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2011/05/17
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Description:Rationale: When polysomnography (PSG), the gold standard for identifying sleep, is unavailable, actigraphy, a simpler tool, is recommended to estimate total sleep time (TST)1. Identifying commercial drivers with short sleep durations using actigraphy may help target interventions to reduce the risk of vehicular accidents. Subjects: We solicited participants using internet advertisements. Inclusion criteria: age 18 to 65y; residence within 40 miles of our Sleep Center; possession of a valid commercial driver's license. Exclusion criteria: current use of continuous positive airway pressure, bi-level positive airway pressure, or supplemental oxygen; nocturnal hypoxia due to another illness; inability to complete protocol. Methods: We conducted actigraphy and unattended, in-home, Type-II PSGs (EmblaR, Broomfield, CO) which include full EEG monitoring, assessment of airflow, oximetry, respiratory effort, eye movement and chin EMG. Subjects reported the time they went to bed, approximate sleep onset latency and wake-up time on the morning after the recording. We used these reports in conjunction with actigraphy to label sleep start and end times and estimate sleep onset latency (SOL)2. We compared TST, sleep efficiency (SE), SOL and wake after sleep onset (WASO) from actigraphy against the same data derived from PSG. Results: Among 77 participants, 72 (94%) were male, 53% were Caucasian and 44% were African-American. Mean +/- SD age was 43.4 +/- 9.1y. Actigraphy-derived TST correlated strongly with PSG-measured TST, while actigraphy-derived SE, SOL and WASO correlated weakly to PSG (see Table 1) among 69 subjects with complete data. Bland-Altman analysis (Figure 1) showed that actigraphy-derived TST is more precise (note less vertical scatter) when TST>/=6 hours. On average, actigraphy overestimated TST by 24 minutes. Conclusions: Actigraphy overestimated TST by an average of 24 minutes among commercial drivers. Future analyses should account for night-to-night variability and record actigraphy over several nights. [Description provided by NIOSH]
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ISSN:1073-449X
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Volume:183
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NIOSHTIC Number:nn:20054074
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Citation:Am J Respir Crit Care Med 2011 May; 183(Meeting Abstracts):A5255
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Email:christian.morales@uphs.upenn.edu
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Federal Fiscal Year:2011
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Performing Organization:University of Pennsylvania
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Peer Reviewed:False
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Start Date:20070801
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Source Full Name:American Journal of Respiratory and Critical Care Medicine
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Supplement:Meeting Abstracts
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End Date:20130701
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Main Document Checksum:urn:sha-512:53c3edf51171161a7581fef5d5e140f918baf4ca0ac4c0afd657385c382a3b1c6d29819dbddfd7064b54e6310ba6b116fd30d6f9c8476cd4c731dc5c6d6199af
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