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Usage Information

Circadian disruption and human health
Anna B. Fishbein, Kristen L. Knutson, Phyllis C. Zee
Anna B. Fishbein, Kristen L. Knutson, Phyllis C. Zee
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Review Series

Circadian disruption and human health

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Abstract

Circadian disruption is pervasive and can occur at multiple organizational levels, contributing to poor health outcomes at individual and population levels. Evidence points to a bidirectional relationship, in that circadian disruption increases disease severity and many diseases can disrupt circadian rhythms. Importantly, circadian disruption can increase the risk for the expression and development of neurologic, psychiatric, cardiometabolic, and immune disorders. Thus, harnessing the rich findings from preclinical and translational research in circadian biology to enhance health via circadian-based approaches represents a unique opportunity for personalized/precision medicine and overall societal well-being. In this Review, we discuss the implications of circadian disruption for human health using a bench-to-bedside approach. Evidence from preclinical and translational science is applied to a clinical and population-based approach. Given the broad implications of circadian regulation for human health, this Review focuses its discussion on selected examples in neurologic, psychiatric, metabolic, cardiovascular, allergic, and immunologic disorders that highlight the interrelatedness between circadian disruption and human disease and the potential of circadian-based interventions, such as bright light therapy and exogenous melatonin, as well as chronotherapy to improve and/or modify disease outcomes.

Authors

Anna B. Fishbein, Kristen L. Knutson, Phyllis C. Zee

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Usage data is cumulative from September 2025 through September 2026.

Usage JCI PMC
Text version 12,209 4,951
PDF 1,252 755
Figure 758 0
Citation downloads 649 0
Totals 14,868 5,706
Total Views 20,574
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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