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      Effects of Sleep Quality on the Association between Problematic Mobile Phone Use and Mental Health Symptoms in Chinese College Students

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          Abstract

          Problematic mobile phone use (PMPU) is a risk factor for both adolescents’ sleep quality and mental health. It is important to examine the potential negative health effects of PMPU exposure. This study aims to evaluate PMPU and its association with mental health in Chinese college students. Furthermore, we investigated how sleep quality influences this association. In 2013, we collected data regarding participants’ PMPU, sleep quality, and mental health (psychopathological symptoms, anxiety, and depressive symptoms) by standardized questionnaires in 4747 college students. Multivariate logistic regression analysis was applied to assess independent effects and interactions of PMPU and sleep quality with mental health. PMPU and poor sleep quality were observed in 28.2% and 9.8% of participants, respectively. Adjusted logistic regression models suggested independent associations of PMPU and sleep quality with mental health ( p < 0.001). Further regression analyses suggested a significant interaction between these measures ( p < 0.001). The study highlights that poor sleep quality may play a more significant role in increasing the risk of mental health problems in students with PMPU than in those without PMPU.

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          A technique for the measurement of attitudes

          RA Likert, R Likert, R. LIKERT … (1932)
          Article 0 comments Cited 517 times – based on 0 reviews     Review now
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            Relationship of Smartphone Use Severity with Sleep Quality, Depression, and Anxiety in University Students

            Kadi̇r Demi̇rci̇, Mehmet Akgönül, Abdullah Akpınar (2015)
            Background and Aims The usage of smartphones has increased rapidly in recent years, and this has brought about addiction. The aim of the current study was to investigate the relationship between smartphone use severity and sleep quality, depression, and anxiety in university students. Methods In total, 319 university students (203 females and 116 males; mean age = 20.5 ± 2.45) were included in the study. Participants were divided into the following three groups: a smartphone non-user group (n = 71, 22.3%), a low smartphone use group (n = 121, 37.9%), and a high smartphone use group (n = 127, 39.8%). All participants were evaluated using the Pittsburgh Sleep Quality Index, Beck Depression Inventory, Beck Anxiety Inventory; moreover, participants other than those in the smartphone non-user group were also assessed with the Smartphone Addiction Scale. Results The findings revealed that the Smartphone Addiction Scale scores of females were significantly higher than those of males. Depression, anxiety, and daytime dysfunction scores were higher in the high smartphone use group than in the low smartphone use group. Positive correlations were found between the Smartphone Addiction Scale scores and depression levels, anxiety levels, and some sleep quality scores. Conclusion The results indicate that depression, anxiety, and sleep quality may be associated with smartphone overuse. Such overuse may lead to depression and/or anxiety, which can in turn result in sleep problems. University students with high depression and anxiety scores should be carefully monitored for smartphone addiction.
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              Evening exposure to a light-emitting diodes (LED)-backlit computer screen affects circadian physiology and cognitive performance.

              Christian Cajochen, Sylvia Frey, Doreen Anders … (2011)
              Many people spend an increasing amount of time in front of computer screens equipped with light-emitting diodes (LED) with a short wavelength (blue range). Thus we investigated the repercussions on melatonin (a marker of the circadian clock), alertness, and cognitive performance levels in 13 young male volunteers under controlled laboratory conditions in a balanced crossover design. A 5-h evening exposure to a white LED-backlit screen with more than twice as much 464 nm light emission {irradiance of 0,241 Watt/(steradian × m(2)) [W/(sr × m(2))], 2.1 × 10(13) photons/(cm(2) × s), in the wavelength range of 454 and 474 nm} than a white non-LED-backlit screen [irradiance of 0,099 W/(sr × m(2)), 0.7 × 10(13) photons/(cm(2) × s), in the wavelength range of 454 and 474 nm] elicited a significant suppression of the evening rise in endogenous melatonin and subjective as well as objective sleepiness, as indexed by a reduced incidence of slow eye movements and EEG low-frequency activity (1-7 Hz) in frontal brain regions. Concomitantly, sustained attention, as determined by the GO/NOGO task; working memory/attention, as assessed by "explicit timing"; and declarative memory performance in a word-learning paradigm were significantly enhanced in the LED-backlit screen compared with the non-LED condition. Screen quality and visual comfort were rated the same in both screen conditions, whereas the non-LED screen tended to be considered brighter. Our data indicate that the spectral profile of light emitted by computer screens impacts on circadian physiology, alertness, and cognitive performance levels. The challenge will be to design a computer screen with a spectral profile that can be individually programmed to add timed, essential light information to the circadian system in humans.
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                Author and article information

                Contributors
                Paul B. Tchounwou: Role: Academic Editor
                Journal
                Journal ID (nlm-ta): Int J Environ Res Public Health
                Journal ID (iso-abbrev): Int J Environ Res Public Health
                Journal ID (publisher-id): ijerph
                Title: International Journal of Environmental Research and Public Health
                Publisher: MDPI
                ISSN (Print): 1661-7827
                ISSN (Electronic): 1660-4601
                Publication date (Electronic): 14 February 2017
                Publication date (Print): February 2017
                Volume: 14
                Issue: 2
                Electronic Location Identifier: 185
                Affiliations
                [1 ]Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China; shumantao@ 123456126.com (S.T.); xywu85@ 123456126.com (X.W.); zhangyukun1106@ 123456gmail.com (Y.Z.); season0724@ 123456gmail.com (S.Z.)
                [2 ]Anhui Provincial Key Laboratory of Population Health & Aristogenics, Hefei 230032, China; s.tong@ 123456qut.edu.au
                [3 ]School of Public Health and Social Work, Queensland University of Technology, Kelvin Grove, QLD 4059, Australia
                Author notes
                [* ]Correspondence: fbtao@ 123456ahmu.edu.cn ; Tel.: +86-551-65161168
                [†]

                These authors contributed equally to this work.

                Article
                Publisher ID: ijerph-14-00185
                DOI: 10.3390/ijerph14020185
                PMC ID: 5334739
                PubMed ID: 28216583
                SO-VID: 0e3ae0e9-2908-4a68-a080-1b117c8a1a2f
                Copyright © © 2017 by the authors.
                License:

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                Date received : 01 November 2016
                Date accepted : 01 February 2017
                Categories
                Subject: Article

                ScienceOpen disciplines: Public health
                Keywords: cellular phone,cross-sectional studies,sleep,anxiety,depression
                Data availability:
                ScienceOpen disciplines: Public health
                Keywords: cellular phone, cross-sectional studies, sleep, anxiety, depression

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