0296 Feasibility of a Sleep Health Intervention Mobile App for Long-Term Sleep Tracking and Usability in Cargo Pilots
نویسندگان
چکیده
Abstract Introduction Cargo operations frequently require pilots to cross multiple time zones and operate during the night, both of which are fatigue risks. Operators may benefit from an mobile app that provides individual warnings based on prior sleep history. The SleepTank™ about risk wearer’s data as measured by Fitbit devices. In this pilot study, 10 cargo operators provided feedback accuracy usability up 100 days continuous data. Methods Ten (N=10) experienced a major operator volunteered wear Versa 2 or Charge 5 evaluate over three months (June-October 2022). Pilots completed Qualtrics online survey their perceptions app’s in October 2022. Data for was extracted at end study period. Sleep summed date provide 24-hour estimate bed (TIB24), total (TST24), daily intervals (DSI), average efficiency (SE). Changes behavior were explored using mixed model linear regression. Results wore device with 69±29 (Range: 25-100 days). Pilots’ TIB24 455±111 minutes, TST24 400±98 min, SE 88±4%. normally slept once per day (DSI: 1.2±0.5). did not change significantly period (all p> 0.4). All rated being useful, particularly planning bedtimes naps. 100% accurate predicting levels. Conclusion Experienced exhibited healthy habits stable found useful felt app-provided ratings matched perceived level fatigue. App usage directly related changes objective but validate operators’ experience fatigue, lead better identification symptoms proactive avoid periods future. Support (if any) NA
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ژورنال
عنوان ژورنال: Sleep
سال: 2023
ISSN: ['0302-5128']
DOI: https://doi.org/10.1093/sleep/zsad077.0296