Shift Work in Nurses: Contribution of Phenotypes and Genotypes to Adaptation

Gamble, Karen L.; Motsinger‐Reif, Alison A.; Hida, Akiko; Borsetti, Hugo Mario; Servick, Stein V.; Ciarleglio, Christopher M.; Robbins, Sam; Hicks, Jennifer; Carver, Krista; Hamilton, Nalo; Wells, Nancy; Summar, Marshall; McMahon, Douglas G.; Johnson, Carl Hirschie

doi:10.1371/journal.pone.0018395

Cited by 147 publications

(137 citation statements)

References 69 publications

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“…This adaptation has been reported to be influenced by several factors such as age, sex, chronotype, genotype, and light/darkness [19,23,24]. In the present study, there was no difference in age between poor and good sleepers.…”

Section: Discussionsupporting

confidence: 43%

“…Many studies have examined adaptation to rotational-shift work in nurses [22,23]. This adaptation has been reported to be influenced by several factors such as age, sex, chronotype, genotype, and light/darkness [19,23,24].…”

Section: Discussionmentioning

confidence: 99%

“…In addition, differences in adaptation and sleep status have been reported in nurses who work night shift [22,23], and the severity of sleep problems during adaptation was attributed to accumulative subjective fatigue [22]. Adaptation to rotational-shift work has been shown to be influenced by individual personal factors such as age, chronotype of circadian rhythm, genotype, and light/darkness [19,23,24]. To maintain employees' health in rotational-shift work, it is important to assess individual shift workers' adaptation to work environments.…”

Section: Introductionmentioning

confidence: 99%

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Association Between Sleep Quality and Subjective Fatigue in Night-Shift Nurses with Good and Poor Sleep

et al. 2018

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Purpose This study aimed to explore the association between sleep quality and subjective fatigue in nurses who performed rotational-shift work. Methods A cross-sectional survey was conducted and included nurses working day and night shifts (n = 35) at Toyama University Hospital in Japan. To examine the influence of sleep quality on subjective fatigue, participants were categorized as poor (n = 23) or good (n = 12) sleepers. They assessed their own sleep status using the St Mary's Hospital Sleep Questionnaire and subjective fatigue following shift changes (holiday to day shift, day shift to day shift, before night shift, after night shift, and day shift to holiday). Results Poor sleepers' State-Trait Anxiety Inventory scores were higher relative to those of good sleepers. Moreover, good sleepers recovered from subjective fatigue after sleep following all shift changes. Poor sleepers' subjective fatigue also reduced after sleep following 'before night shift', 'after night shift', and 'day shift to holiday' shift changes but not 'holiday to day shift' or 'day shift to day shift' shift changes. Sleep duration was stable across shift changes in good sleepers, and poor sleepers' sleep durations were significantly longer following 'before night shift', 'after night shift', and 'day shift to holiday' shift changes relative to those following 'holiday to day shift' and 'day shift to day shift' shift changes. Conclusions The results suggested that poor sleepers' subjective fatigue following 'before night shift', 'after night shift', and 'day shift to holiday' could be reduced by increasing sleep duration, indicating that it is important to ensure sufficient sleep duration to improve all nurses' sleep quality and reduce poor sleepers' subjective fatigue. Furthermore, sufficient relaxation at bedtime and the reduction of anxiety are important in maintaining good sleep quality.

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Section: Discussionsupporting

confidence: 43%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Association Between Sleep Quality and Subjective Fatigue in Night-Shift Nurses with Good and Poor Sleep

et al. 2018

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“…We found one published study (Gamble et al, 2011) using a modified version of the MCTQ in a nursing sample. Night shift nurses had a significantly later chronotype than day nurses.…”

Section: Adjustement To Shift Work and Jet Lagmentioning

confidence: 99%

Circadian Typology: A Comprehensive Review

Adán¹,

Archer²,

Hidalgo³

et al. 2012

Chronobiology International

1,066

855

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The interest in the systematic study of the circadian typology (CT) is relatively recent and has developed rapidly in the two last decades. All the existing data suggest that this individual difference affects our biological and psychological functioning, not only in health, but also in disease. In the present study, we review the current literature concerning the psychometric properties and validity of CT measures as well as individual, environmental and genetic factors that influence the CT. We present a brief overview of the biological markers that are used to define differences between CT groups (sleep-wake cycle, body temperature, cortisol, and melatonin), and we assess the implications for CT and adjustment to shift work and jet-lag. We also review the differences between CT in terms of cognitive abilities, personality traits and the incidence of psychiatric disorders. When necessary, we have emphasized the methodological limitations that exist today and suggested some future avenues of work in order to overcome these. This is a new field of interest to professionals in many different areas (research, labor, academic, and clinical) and this review provides a state of the art discussion to allow professionals to integrate chronobiological aspects of human behavior into their daily practice.

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“…This is in line with what was suggested earlier 6 : "owls" or "larks" may do better during isolated or fixed late day shifts and night shifts or early day shifts, respectively. 7 But both extremes may suffer more than intermediate chronotypes from shift-work rotating through all 24-hr time windows, disallowing to adjust their circadian rhythmicity like people who are neither evening nor morning types." 6 Since Papantoniou et al did not examine night work alone but mixed rotating shifts with variable amounts of night shifts included, their results are compatible with what was "predicted" for extreme chronotypes engaged in rotating shift regimens and cited above.…”

mentioning

confidence: 99%