ArticlePloS one2016
Sleep, Fatigue and Quality of Life: A Comparative Analysis among Night Shift Workers with and without Children.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Investigating Factors Influencing Fatigue and Medical Imaging Technologist Performance on Night Shift: An Initiative to Improve Healthcare Delivery.Journal of medical radiation sciences · 2025Article
- Objective Assessment of Sleep Patterns among Night-Shift Workers: A Scoping Review.International journal of environmental research and public health · 2021Article
- The influence of work context and organizational well-being on psychophysical health of healthcare providers.La Medicina del lavoro · 2020Article
- The fatigue, sleep and physical activity in postoperative patients with pituitary adenoma: what we can do.Translational cancer research · 2020Article
- Demographic, Life Style and Job-Related Determinants of Quality of Life of Industrial Manufacturing Employees: An Application of Multilevel Latent Class Regression on a Large Cross-Sectional Study.Ethiopian journal of health sciences · 2019Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe reversal of the natural cycle of wakefulness and sleep may cause damage to the health of workers. However, there are few studies evaluating sleep, fatigue and quality of life of night shift workers considering the influence of small children on these variables.
aimsEvaluate the sleep time, fatigue and quality of life of night shift workers and verify the relationship between these variables with the presence or absence of children in different age groups.
methodsWere evaluated 78 mens shiftworkers, with or without children. Group 1, workers without children (G1-NC), group 2, workers with children pré-school age (G2-PS) and group 3, workers with children school age (G3-S). The sleep time (ST), sleep efficiency (SE), sleep latency (SL) and maximum time awake (MTA) were recorded by actigraphy. The risk of being fatigued at work was estimated by risk index for fatigue (RIF).
resultsThe G1-NC showed a longer ST on working days and when evaluated only the first nights shift, after day off (p<0,005). This sample, the age of the children did not influence the sleep time these workers. The MTA on day off was lower in the workers from G2-PS. The RIF was lower on G1-NC in the first nights shift compared to the other groups.
conclusionIn this research, workers without children had higher sleep time during the working days. These workers also were less likely to feel fatigued during night work than workers with children, regardless of age these children.
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