Nightshift imposes irregular lifestyle behaviors in police academy trainees.
Date
2023-01
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Abstract
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Shiftwork increases risk for numerous chronic diseases, which is hypothesized to be linked to disruption of circadian timing of lifestyle behaviors. However, empirical data on timing of lifestyle behaviors in real-world shift workers are lacking. To address this, we characterized the regularity of timing of lifestyle behaviors in shift-working police trainees.Methods
Using a two-group observational study design (N = 18), we compared lifestyle behavior timing during 6 weeks of in-class training during dayshift, followed by 6 weeks of field-based training during either dayshift or nightshift. Lifestyle behavior timing, including sleep-wake patterns, physical activity, and meals, was captured using wearable activity trackers and mobile devices. The regularity of lifestyle behavior timing was quantified as an index score, which reflects day-to-day stability on a 24-hour time scale: Sleep Regularity Index, Physical Activity Regularity Index, and Mealtime Regularity Index. Logistic regression was applied to these indices to develop a composite score, termed the Behavior Regularity Index (BRI).Results
Transitioning from dayshift to nightshift significantly worsened the BRI, relative to maintaining a dayshift schedule. Specifically, nightshift led to more irregular sleep-wake timing and meal timing; physical activity timing was not impacted. In contrast, maintaining a dayshift schedule did not impact regularity indices.Conclusions
Nightshift imposed irregular timing of lifestyle behaviors, which is consistent with the hypothesis that circadian disruption contributes to chronic disease risk in shift workers. How to mitigate the negative impact of shiftwork on human health as mediated by irregular timing of sleep-wake patterns and meals deserves exploration.Type
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Erickson, Melissa L, Rebecca North, Julie Counts, Will Wang, Kathryn N Porter Starr, Laurie Wideman, Carl Pieper, Jessilyn Dunn, et al. (2023). Nightshift imposes irregular lifestyle behaviors in police academy trainees. Sleep advances : a journal of the Sleep Research Society, 4(1). p. zpad038. 10.1093/sleepadvances/zpad038 Retrieved from https://hdl.handle.net/10161/29451.
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Rebecca North
Rebecca North, PhD
Dr. North is a collaborative biostatistician who lets clinical application drive methodological innovation. This has been true since graduate school at NC State University, where her dissertation focused on variable selection methods for functional data for the purpose of identifying a sparse set of electromyogram signals that would accurately predict the velocity of a prosthetic arm. Also while in graduate school, Dr. North was supported by a T32 Traineeship, the National Heart, Lung, and Blood Institute Integrated Biostatistical Training Program for Cardiovascular Disease Research, through which she gained clinical research experience at the Duke Clinical Research Institute with particular focus on atrial fibrillation research.
Since joining the Duke Aging Center, Dr. North has gained statistical experience in latent class analysis, mediation analysis, and meta-analysis, to add to her knowledge of functional data analysis, variable selection techniques, random forests and decision trees, survival analysis, longitudinal data analysis, and other classical frequentist statistical methods. Her clinical areas of interest include circadian rhythm research, cardiovascular research (particularly atrial fibrillation), and Veteran health.
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