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Aging of Non-Visual Spectral Sensitivity to Light in Humans: Compensatory Mechanisms?

Overview of attention for article published in PLOS ONE, January 2014
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Title
Aging of Non-Visual Spectral Sensitivity to Light in Humans: Compensatory Mechanisms?
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0085837
Pubmed ID
Authors

Raymond P. Najjar, Christophe Chiquet, Petteri Teikari, Pierre-Loïc Cornut, Bruno Claustrat, Philippe Denis, Howard M. Cooper, Claude Gronfier

Abstract

The deterioration of sleep in the older population is a prevalent feature that contributes to a decrease in quality of life. Inappropriate entrainment of the circadian clock by light is considered to contribute to the alteration of sleep structure and circadian rhythms in the elderly. The present study investigates the effects of aging on non-visual spectral sensitivity to light and tests the hypothesis that circadian disturbances are related to a decreased light transmittance. In a within-subject design, eight aged and five young subjects were exposed at night to 60 minute monochromatic light stimulations at 9 different wavelengths (420-620 nm). Individual sensitivity spectra were derived from measures of melatonin suppression. Lens density was assessed using a validated psychophysical technique. Although lens transmittance was decreased for short wavelength light in the older participants, melatonin suppression was not reduced. Peak of non-visual sensitivity was, however, shifted to longer wavelengths in the aged participants (494 nm) compared to young (484 nm). Our results indicate that increased lens filtering does not necessarily lead to a decreased non-visual sensitivity to light. The lack of age-related decrease in non-visual sensitivity to light may involve as yet undefined adaptive mechanisms.

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Geographical breakdown

Country Count As %
Spain 2 2%
Germany 1 1%
Unknown 94 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 13%
Researcher 12 12%
Student > Ph. D. Student 12 12%
Student > Bachelor 9 9%
Professor > Associate Professor 7 7%
Other 20 21%
Unknown 24 25%
Readers by discipline Count As %
Medicine and Dentistry 12 12%
Agricultural and Biological Sciences 11 11%
Neuroscience 11 11%
Psychology 9 9%
Engineering 5 5%
Other 22 23%
Unknown 27 28%