Predicting circadian misalignment with wearable technology: validation of wrist-worn actigraphy and photometry in night shift workers.

ABSTRACT: A critical barrier to successful treatment of circadian misalignment in shift workers is determining circadian phase in a clinical or field setting. Light and movement data collected passively from wrist actigraphy can generate predictions of circadian phase via mathematical models; however, these models have largely been tested in non-shift working adults. This study tested the feasibility and accuracy of actigraphy in predicting dim light melatonin onset (DLMO) in fixed night shift workers. A sample of 45 night shift workers wore wrist actigraphs before completing DLMO in the laboratory (17.0 days ± 10.3 SD). DLMO was assessed via 24 hourly saliva samples in dim light (<10 lux). Data from actigraphy were provided as input to a mathematical model to generate predictions of circadian phase

SUBMITTER: Cheng P 

PROVIDER: S-EPMC8240654 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature