Shift Work Sleep Disorder

Sachdeva, Alok; Goldstein, Cathy

doi:10.1007/978-3-030-43803-6_11

Cited by 7 publications

(5 citation statements)

References 227 publications

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“…LSWs exhibited excessive daytime sleepiness compared with non-SWs. These findings are consistent with prior studies reporting vulnerability to insomnia or daytime sleepiness among SWs [ 19 , 23 , 24 ], and were expected because insomnia and daytime sleepiness are major characteristics of SWSD [ 41 ].…”

Section: Discussionsupporting

confidence: 93%

“…These findings are consistent with prior studies reporting vulnerability to insomnia or daytime sleepiness among SWs, 19,23,24 and were expected because insomnia and daytime sleepiness are major characteristics of SWSD. 41 Together, the findings confirm that shift work is associated with high levels of sleep reactivity. In other words, sleep of SWs A previous study found that individuals with high levels of sleep reactivity were more likely to experience depression after starting shift work.…”

Section: Discussionsupporting

confidence: 57%

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Sleep Reactivity and Sleep Efforts in Shift Workers

Hwang,

Jang,

Lee

et al. 2023

Psychiatry Investig

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Objective The current study aimed to investigate the differences in sleep reactivity and sleep effort differs among late night shift workers (LSWs) and non-late night shift workers (non-LSWs), and non-shift workers (non-SWs).Methods In total, 6,023 participants (1,613 non-SWs, 3,339 LSWs, and 1,071 non-LSWs) were recruited. Non-SWs was defined as those who works at fixed schedules during standard daylight. LSWs was defined as who work late night hours (10 <sub>PM</sub>–6 <sub>AM</sub>), while non-LSWs was SWs who did not work during late night. All completed the Ford Insomnia Response to Stress Test (FIRST), the Glasgow Sleep Effort Scale (GSES), the Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS), the Insomnia Severity Index (ISI), and the short-term Center for Epidemiologic Studies-Depression scale (CES-D) through online survey.Results LSWs and non-LSWs reported higher FIRST, GSES scores than non-SWs. In addition, LSWs reported higher FIRST, GSES scores than non-LSWs. FIRST scores were correlated with CES-D, PSQI, ISI, and ESS for LSWs, non-LSWs, and non-SWs alike. GSES scores were also correlated with CES-D, PSQI, ISI, and ESS for LSWs, non-LSWs, and non-SWs alike.Conclusion SWs showed higher sleep reactivity and sleep effort than non-SWs. LSWs had higher sleep reactivity and sleep effort than non-LSWs, and these variables are associated with insomnia, daytime sleepiness, and depressive symptoms. Our findings suggests that late night schedule, may increase sleep reactivity and sleep effort, which are associated with sleep and mood disturbances.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 57%

Sleep Reactivity and Sleep Efforts in Shift Workers

Hwang,

Jang,

Lee

et al. 2023

Psychiatry Investig

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“…FIFO workers typically work long hours (mostly 12 h) and day or night shifts and swing shifts (a mix of day and night shifts) patterns (Storey 2010 ), with early start times for day shifts. Working long hours (Rhéaume and Mullen 2018 ) and shift patterns, particularly night and early morning shifts (Kecklund and Axelsson 2016 ) and swing shifts, which require mid-roster shift changes (from day to night or night to day) (Parkes, 2016) have been linked with sleep disorders due to disruptions to the circadian rhythm (Sachdeva and Goldstein 2020 ). Early start times for day shifts require that workers sleep early to be up early and ready to catch a bus for work, but early evening hours bedtime is deemed frustrating and does not certainly result in early sleep onsets, as such the early start times to shifts may truncate sleep periods (Ferguson et al 2010 ).…”

Section: Discussionmentioning

confidence: 99%

Health and related behaviours of fly-in fly-out workers in the mining industry in Australia: a cross-sectional study

Asare

Robinson

Powell

et al. 2022

Int Arch Occup Environ Health

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Background Fly-In Fly-Out (FIFO), which entails travelling mostly from the urban areas to stay and work in remote areas for designated periods and travel back home to spend designated days of leave, has become a common work arrangement in the mining sector globally. This study examined the mental and physical health of FIFO workers and described their health-related behaviours during on-and off-shift periods. Methods A cross-sectional study was conducted with FIFO workers (N = 216) in the mining industry in Australia who completed an online survey. Paired t-test and McNemer’s analysis examined the differences in health-related behaviours during workers’ on-and off-shift days. Logistic regression examined the predictors of physical health and psychological distress status of FIFO workers. Results Workers reported longer sleep duration (7.5 ± 1.5 h vs 6.3 ± 1.2 h, p < 0.001) and better sleep quality (78.2% vs 46.3%, p < 0.001) during off-shift nights than on on-shift nights. Smoking prevalence was 26.4%, and workers reported smoking a similar number of cigarettes per day during on-and off-shift days. Most workers reported drinking alcohol (86.1%) and more often at risky levels during off-shift than on-shift days (57.9% vs 34.3%, p < 0.001). Fruits and vegetable consumption was low but with higher vegetable intake during off-shift days (2.8 ± 1.4 vs 2.3 ± 1.3 serves, p < 0.001). Workers had good physical health status (91.2%), but 71.4% were overweight/obese and 33.4% indicated high levels of psychological distress. Working on long shifts (OR 6.63, 95% CI 1.84–23.91) and smoking (OR 7.17, 95% CI 2.67–19.26) were linked to high psychological distress. Conclusions The prevalence of psychological distress and risky health behaviours was high. Interventions should aim to reduce psychological distress and support multiple behaviour changes, considering FIFO work-related characteristics including long shift hours.

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“…Studies by many authors have found that fly-in-fly-out workers in extractive industries may experience many problems: increased psycho-emotional stress (Khasnulin & Khasnulina, 2012), problems of psychological adaptation (Korneeva & Simonova, 2019), family relationships (Cooke et al, 2018), suicide risk (Vojnovic, 2016). The researchers also focused on studying the impact of fly-in-flyout method on health: problems of mortality (Hermansson et al, 2019), nutrition (Assis et al, 2003); sleep (Niu et al, 2017;Sachdeva & Goldstein, 2020) the relations between the locus of control and morbidity (Smith et al, 2001).…”

Section: Problem Statementmentioning

confidence: 99%