Literature DB >> 28017916

Effects of smartphone use with and without blue light at night in healthy adults: A randomized, double-blind, cross-over, placebo-controlled comparison.

Jung-Yoon Heo1, Kiwon Kim1, Maurizio Fava2, David Mischoulon2, George I Papakostas2, Min-Ji Kim3, Dong Jun Kim4, Kyung-Ah Judy Chang1, Yunhye Oh1, Bum-Hee Yu1, Hong Jin Jeon5.   

Abstract

Smartphones deliver light to users through Light Emitting Diode (LED) displays. Blue light is the most potent wavelength for sleep and mood. This study investigated the immediate effects of smartphone blue light LED on humans at night. We investigated changes in serum melatonin levels, cortisol levels, body temperature, and psychiatric measures with a randomized, double-blind, cross-over, placebo-controlled design of two 3-day admissions. Each subject played smartphone games with either conventional LED or suppressed blue light from 7:30 to 10:00PM (150 min). Then, they were readmitted and conducted the same procedure with the other type of smartphone. Serum melatonin levels were measured in 60-min intervals before, during and after use of the smartphones. Serum cortisol levels and body temperature were monitored every 120 min. The Profile of Mood States (POMS), Epworth Sleepiness Scale (ESS), Fatigue Severity Scale (FSS), and auditory and visual Continuous Performance Tests (CPTs) were administered. Among the 22 participants who were each admitted twice, use of blue light smartphones was associated with significantly decreased sleepiness (Cohen's d = 0.49, Z = 43.50, p = 0.04) and confusion-bewilderment (Cohen's d = 0.53, Z = 39.00, p = 0.02), and increased commission error (Cohen's d = -0.59, t = -2.64, p = 0.02). Also, users of blue light smartphones experienced a longer time to reach dim light melatonin onset 50% (2.94 vs. 2.70 h) and had increases in body temperature, serum melatonin levels, and cortisol levels, although these changes were not statistically significant. Use of blue light LED smartphones at night may negatively influence sleep and commission errors, while it may not be enough to lead to significant changes in serum melatonin and cortisol levels.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Blue light; Body temperature; Cortisol; Melatonin; Smartphone

Mesh:

Substances:

Year:  2016        PMID: 28017916     DOI: 10.1016/j.jpsychires.2016.12.010

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  26 in total

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Authors:  Matthew M Engelhard; Scott H Kollins
Journal:  Curr Psychiatry Rep       Date:  2019-08-13       Impact factor: 5.285

3.  Possible sleep bruxism, smartphone addiction and sleep quality among Brazilian university students during COVID-19 pandemic.

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4.  Spectrophotometric properties of commercially available blue blockers across multiple lighting conditions.

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Journal:  Chronobiol Int       Date:  2022-01-04       Impact factor: 3.749

5.  Internet use and its impact on internalizing disorder symptoms and sleep in adolescents with an evening circadian preference.

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Journal:  J Clin Sleep Med       Date:  2021-10-01       Impact factor: 4.324

6.  A longitudinal study of the effects of problematic smartphone use on social functioning among people with schizophrenia: Mediating roles for sleep quality and self-stigma.

Authors:  Kun-Chia Chang; Yun-Husan Chang; Cheng-Fang Yen; Jung-Sheng Chen; Po-Jen Chen; Chung-Ying Lin; Mark D Griffiths; Marc N Potenza; Amir H Pakpour
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7.  Inhibition of iron overload-induced apoptosis and necrosis of bone marrow mesenchymal stem cells by melatonin.

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Journal:  Oncotarget       Date:  2017-05-09

Review 8.  Exploring the Association between Alzheimer's Disease, Oral Health, Microbial Endocrinology and Nutrition.

Authors:  Alice Harding; Ulrike Gonder; Sarita J Robinson; StJohn Crean; Sim K Singhrao
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9.  The influences of smartphone use on the status of the tear film and ocular surface.

Authors:  Jung Han Choi; Ying Li; Seon Ho Kim; Rujun Jin; Yung Hui Kim; Won Choi; In Cheon You; Kyung Chul Yoon
Journal:  PLoS One       Date:  2018-10-31       Impact factor: 3.240

10.  Effects on the Ocular Surface from Reading on Different Smartphone Screens: A Prospective Randomized Controlled Study.

Authors:  Kelan Yuan; Haiping Zhu; Yujie Mou; Yaying Wu; Jingliang He; Xiaodan Huang; Xiuming Jin
Journal:  Clin Transl Sci       Date:  2021-05-03       Impact factor: 4.689

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