Literature DB >> 33488343

The Sleep of Shift Workers in a Remote Mining Operation: Methodology for a Randomized Control Trial to Determine Evidence-Based Interventions.

Gemma Maisey1, Marcus Cattani1, Amanda Devine1, Johnny Lo2, Ian C Dunican1.   

Abstract

Shiftwork may adversely impact an individual's sleep-wake patterns and result in sleep loss (<6 h. following night shift), due to the circadian misalignment and the design of rosters and shifts. Within a mining operation, this sleep loss may have significant consequences due to fatigue, including an increased risk of accidents and chronic health conditions. This study aims to (i) determine the efficacy of an intervention that comprises a sleep education program and biofeedback through a smartphone app on sleep quality, quantity, and alertness (ii) determine the prevalence of risk for a potential sleep disorder, and (iii) quantify and describe the sleep habits and behaviors of shift workers in a remote mining operation. This study consists of a randomized controlled trial whereby eighty-eight shift workers within a remote mining operation are randomized to a control group or one of three different treatment groups that are: (i) a sleep education program, (ii) biofeedback on sleep through a smartphone app, or (iii) a sleep education program and biofeedback on sleep through a smartphone app. This study utilizes wrist-activity monitors, biomathematical modeling, and a survey instrument to obtain data on sleep quantity, quality, and alertness. A variety of statistical methods will determine the prevalence of risk for a potential sleep disorder and associations with body mass index, alcohol, and caffeine consumption. A generalized linear mixed model will examine the dependent sleep variables assessed at baseline and post-intervention for the control group and intervention groups, as well as within and between groups to determine changes. The findings from this study will contribute to the current understanding of sleep and alertness behaviors, and sleep problems and disorders amongst shift workers. Importantly, the results may inform fatigue policy and practice on interventions to manage fatigue risk within the mining industry. This study protocol may have a broader application in other shiftwork industries, including oil and gas, aviation, rail, and healthcare.
Copyright © 2021 Maisey, Cattani, Devine, Lo and Dunican.

Entities:  

Keywords:  biomathematical modeling; education; fatigue; shiftwork; sleep disorders; sleep loss; wrist-activity monitors

Year:  2021        PMID: 33488343      PMCID: PMC7817759          DOI: 10.3389/fnins.2020.579668

Source DB:  PubMed          Journal:  Front Neurosci        ISSN: 1662-453X            Impact factor:   4.677


  38 in total

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4.  Sleep-related problems in the US working population: prevalence and association with shiftwork status.

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5.  Modeling the impact of the components of long work hours on injuries and "accidents".

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6.  Does Implementation of Biomathematical Models Mitigate Fatigue and Fatigue-related Risks in Emergency Medical Services Operations? A Systematic Review.

Authors:  Francine O James; Lauren B Waggoner; Patricia M Weiss; P Daniel Patterson; J Stephen Higgins; Eddy S Lang; Hans P A Van Dongen
Journal:  Prehosp Emerg Care       Date:  2018-01-11       Impact factor: 3.077

Review 7.  Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review.

Authors:  Grace Shin; Mohammad Hossein Jarrahi; Yu Fei; Amir Karami; Nicci Gafinowitz; Ahjung Byun; Xiaopeng Lu
Journal:  J Biomed Inform       Date:  2019-03-23       Impact factor: 6.317

8.  Comparing the Berlin and the ARES questionnaire to identify patients with obstructive sleep apnea in a dental setting.

Authors:  Reyes Enciso; Glenn T Clark
Journal:  Sleep Breath       Date:  2010-02-02       Impact factor: 2.816

9.  The relation between shift work, sleepiness, fatigue and accidents in Iranian Industrial Mining Group workers.

Authors:  Gholam Hossein Halvani; Mohsen Zare; Seyed Jalil Mirmohammadi
Journal:  Ind Health       Date:  2009-04       Impact factor: 2.179

10.  Shift Work: Disrupted Circadian Rhythms and Sleep-Implications for Health and Well-Being.

Authors:  Stephen M James; Kimberly A Honn; Shobhan Gaddameedhi; Hans P A Van Dongen
Journal:  Curr Sleep Med Rep       Date:  2017-04-27
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