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Shift Work: Disrupted Circadian Rhythms and Sleep—Implications for Health and Well-being

Overview of attention for article published in Current Sleep Medicine Reports, April 2017
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Mentioned by

22 news outlets
2 blogs
10 tweeters
1 Facebook page
1 video uploader


222 Dimensions

Readers on

340 Mendeley
Shift Work: Disrupted Circadian Rhythms and Sleep—Implications for Health and Well-being
Published in
Current Sleep Medicine Reports, April 2017
DOI 10.1007/s40675-017-0071-6
Pubmed ID

Stephen M. James, Kimberly A. Honn, Shobhan Gaddameedhi, Hans P.A. Van Dongen


Our 24/7 society is dependent on shift work, despite mounting evidence for negative health outcomes from sleep displacement due to shift work. This paper reviews short- and long-term health consequences of sleep displacement and circadian misalignment due to shift work. We focus on four broad health domains: metabolic health; risk of cancer; cardiovascular health; and mental health. Circadian misalignment affects these domains by inducing sleep deficiency, sympathovagal and hormonal imbalance, inflammation, impaired glucose metabolism, and dysregulated cell cycles. This leads to a range of medical conditions, including obesity, metabolic syndrome, type II diabetes, gastrointestinal dysfunction, compromised immune function, cardiovascular disease, excessive sleepiness, mood and social disorders, and increased cancer risk. Interactions of biological disturbances with behavioral and societal factors shape the effects of shift work on health and well-being. Research is needed to better understand the underlying mechanisms and drive the development of countermeasures.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 340 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 340 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 56 16%
Student > Master 49 14%
Student > Ph. D. Student 37 11%
Researcher 27 8%
Student > Doctoral Student 21 6%
Other 46 14%
Unknown 104 31%
Readers by discipline Count As %
Medicine and Dentistry 44 13%
Nursing and Health Professions 40 12%
Biochemistry, Genetics and Molecular Biology 33 10%
Psychology 18 5%
Neuroscience 18 5%
Other 65 19%
Unknown 122 36%