Sleep Quality and Digital Media

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Healthcare Quality and Patient Safety".

Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 32956

Special Issue Editors


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Guest Editor
Department of Humanities, Social Sciences and Cultural Industries, University of Parma, Borgo Carissimi 10, 43121 Parma, Italy
Interests: problematic online behaviors; attachment; emotional maltreatment; disordered eating; psychoanalysis; dynamic psychology
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Guest Editor
Department of Medicine and Surgery, University of Parma, Parma, Italy
Interests: areas of particular interest and expertise: psychopathology of narcolepsy; sleep and cognition; motor control during sleep; cognitive performance and sleepiness; insomnia and CBT-Insomnia; emotional dysregulation in narcolepsy; disturbances of motor control during sleep (parasomnias, REM sleep behavior disorders, restless legs and periodic limb movements of sleep, etc.); stigma in sleep disorders

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Guest Editor
University of Modena and Reggio Emilia, Modena and Reggio Emilia, Emilia-Romagna, Italy
Interests: The pathophysiology of narcolepsy; The genetics of sleep disorders; Nocturnal epilepsy; Motor control during sleep; Disturbances of motor control during sleep (parasomnias; REM sleep behavior disorders; restless legs and periodic limb movements of sleep, etc.); Sleep in neurological disorders

Special Issue Information

Dear Colleagues,

This Special Issue of Healthcare will focus on sleep quality and digital media use. Several problematic uses of the Internet and digital media, such as gaming disorders and problematic social network use, are known to negatively impact numerous measures of personal health, including stress, anxiety, and depression, and sleep quality. However, increasing evidence suggests that new media, such as apps on smartphones, may play a positive role in sleep regulation. This Special Issue aims to bring together state-of-the-art research on digital media use and sleep quality.

We welcome articles that provide new insights into the affective, cognitive, and neurobiological mechanisms underlying the beneficial or detrimental use of media or digital-media-based interventions that aim to improve sleep quality or are designed to treat a specific sleep problem (e.g., insomnia). We will feature original research papers and include interesting clinical studies, reviews, short reports, narratives, and opinion pieces from researchers interested in this research topic.

Dr. Alessandro Musetti
Dr. Christian Franceschini 
Prof. Giuseppe Plazzi
Guest Editors

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Keywords

  • sleep quality
  • insomnia
  • problematic Internet use
  • gaming disorders
  • problematic social network use

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Published Papers (5 papers)

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Research

13 pages, 314 KiB  
Article
Exploring Addictive Online Behaviors in Patients with Narcolepsy Type 1
by Giorgia Varallo, Alessandro Musetti, Anita D’Anselmo, Alessio Gori, Emanuele Maria Giusti, Fabio Pizza, Gianluca Castelnuovo, Giuseppe Plazzi and Christian Franceschini
Healthcare 2022, 10(11), 2169; https://doi.org/10.3390/healthcare10112169 - 30 Oct 2022
Cited by 1 | Viewed by 1936
Abstract
Background: Narcolepsy type 1 (NT1) is a rare neurological sleep disorder caused by the loss of neurons that produce hypocretin—a peptide that plays a crucial role in addictive behaviors. We aimed to compare, for the first time, levels of problematic online gaming, problematic [...] Read more.
Background: Narcolepsy type 1 (NT1) is a rare neurological sleep disorder caused by the loss of neurons that produce hypocretin—a peptide that plays a crucial role in addictive behaviors. We aimed to compare, for the first time, levels of problematic online gaming, problematic social media use, and compulsive Internet use between NT1 patients and healthy controls (HC), and to evaluate the association between anxiety, depression, and emotion dysregulation with addictive online behaviors in NT1 patients. Methods: A total of 43 patients with NT1 and 86 sex- and age-matched HC participated in an online cross-sectional survey. Results: NT1 patients did not differ from HC in terms of problematic social media use and compulsive Internet use but displayed higher levels of problematic online gaming compared to HC. Higher levels of emotion dysregulation were significantly associated with higher levels of problematic social media use and compulsive Internet use, while none of the tested factors were associated with problematic online gaming. Conclusion: NT1 patients and HC had similar levels of problematic social media use and compulsive Internet use, but NT1 patients showed higher levels of problematic online gaming. Emotion dysregulation might be an intervention target for reducing compulsive Internet use and problematic social media use. Full article
(This article belongs to the Special Issue Sleep Quality and Digital Media)
10 pages, 648 KiB  
Article
Relationship between Smartphone Addiction and Sleep Satisfaction: A Cross-Sectional Study on Korean Adolescents
by Eonho Kim and Kihyuk Lee
Healthcare 2022, 10(7), 1326; https://doi.org/10.3390/healthcare10071326 - 17 Jul 2022
Cited by 2 | Viewed by 3051
Abstract
The purpose of this study was to analyze the relationship between smartphone addiction and sleep satisfaction in 54,948 Korean adolescents. This study utilized the Korea Youth Risk Behavior Web-Based Survey (KYRBS). The dependent variable was sleep satisfaction. Independent variables were smartphone addiction level [...] Read more.
The purpose of this study was to analyze the relationship between smartphone addiction and sleep satisfaction in 54,948 Korean adolescents. This study utilized the Korea Youth Risk Behavior Web-Based Survey (KYRBS). The dependent variable was sleep satisfaction. Independent variables were smartphone addiction level and usage time. Gender, school grade, stress, depression, regular physical activity (PA), asthma, allergic rhinitis, and atopic dermatitis were selected as confounding variables. A chi-squared test, logistic regression, and independent t-test were performed for data analysis. As a result of the chi-squared test, sleep satisfaction showed significant relationships with all confounding variables (all p < 0.001). As a result of adjusting all confounding variables, sleep satisfaction of smartphone normal users was significantly higher (odds ratios: 1.372, p < 0.001) than that of high-risk users with smartphone addiction. Smartphone users with a daily smartphone usage time from 2 h to 8 h a day were 1.096–1.347 times (p = 0.014 to p < 0.001) more likely to be satisfied with their sleep than smartphone users with a daily smartphone usage time over 8 h, who were unsatisfied with their sleep. The group that was not satisfied with their sleep had a significantly higher average daily smartphone usage time and total score on the smartphone addiction scale than the group that was satisfied with their sleep (both p < 0.001). In conclusion, it will be necessary to manage the use of smartphones to improve the sleep satisfaction of Korean adolescents. Full article
(This article belongs to the Special Issue Sleep Quality and Digital Media)
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14 pages, 1753 KiB  
Article
Link between Excessive Smartphone Use and Sleeping Disorders and Depression among South Korean University Students
by Maidul Islam
Healthcare 2021, 9(9), 1213; https://doi.org/10.3390/healthcare9091213 - 14 Sep 2021
Cited by 10 | Viewed by 5061
Abstract
The purpose of this study was to explore the link between smartphone use and sleeping disorders and depression among university students in South Korea. South Korea has the highest mobile phone penetration rate as well as the highest rate of suicide of any [...] Read more.
The purpose of this study was to explore the link between smartphone use and sleeping disorders and depression among university students in South Korea. South Korea has the highest mobile phone penetration rate as well as the highest rate of suicide of any of the Organization for Economic Cooperation and Development (OECD) nations, thus making this study of great importance. The core aim was to see whether the excessive use of smartphones has an association with sleeping disorders and depression. A cross-sectional analysis was performed to establish if there was any link between smartphone use and sleeping disorders and depression. Samples from 188 participants were used for this study. Data were collected using two well-established questionnaires, the Center for Epidemiologic Studies-Depression (CES-D) and the Athene Insomnia Scale (AIS), as well as a few questions on smartphone use. A few demographic questions were added to the questionnaire. The results of this study concluded that a significant relationship exists between smartphone use and depression. However, the finding of this research could not uncover a significant relationship between smartphone use and sleeping disorders among university students in South Korea. The excessive use of smartphones shows a relationship to an unhealthy lifestyle. There is a clear indication that the overuse of smartphones could be linked to depression. Furthermore, the study found that students with depression also tend to have sleeping disorders. Full article
(This article belongs to the Special Issue Sleep Quality and Digital Media)
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10 pages, 274 KiB  
Article
Longitudinal Relationships between Nomophobia, Addictive Use of Social Media, and Insomnia in Adolescents
by Chung-Ying Lin, Marc N. Potenza, Martin Ulander, Anders Broström, Maurice M. Ohayon, Vijay Kumar Chattu and Amir H. Pakpour
Healthcare 2021, 9(9), 1201; https://doi.org/10.3390/healthcare9091201 - 11 Sep 2021
Cited by 43 | Viewed by 6817
Abstract
(1) Background: Temporal relationships between nomophobia (anxiety related to ‘no mobile phone phobia’), addictive use of social media, and insomnia are understudied. The present study aimed to use a longitudinal design to investigate temporal relationships between nomophobia, addictive use of social media, and [...] Read more.
(1) Background: Temporal relationships between nomophobia (anxiety related to ‘no mobile phone phobia’), addictive use of social media, and insomnia are understudied. The present study aimed to use a longitudinal design to investigate temporal relationships between nomophobia, addictive use of social media, and insomnia among Iranian adolescents; (2) Methods: A total of 1098 adolescents (600 males; 54.6%; age range = 13 to 19) were recruited from 40 randomly selected classes in Qazvin, Iran. They completed baseline assessments. The same cohort was invited to complete three follow-up assessments one month apart. Among the 1098 adolescents, 812 (400 males; 49.3%; age range = 13 to 18) completed the baseline and three follow-up assessments. In each assessment, the participants completed three questionnaires, including the Nomophobia Questionnaire (NMP-Q), Bergen Social Media Addiction Scale (BSMAS), and Insomnia Severity Index (ISI); (3) Results: Multilevel linear mixed-effects regression analyses showed that participants demonstrated increased insomnia longitudinally over 3 months (B = 0.12 and 0.19; p = 0.003 and <0.001). Insomnia was associated with nomophobia (B = 0.20; p < 0.001) and addictive use of social media (B = 0.49; p < 0.001). Nomophobia and addictive use of social media interacted with time in associations with insomnia as demonstrated by significant interaction terms (B = 0.05; p < 0.001 for nomophobia; B = 0.13; p < 0.001 for addictive use of social media); (4) Conclusions: Both nomophobia and addictive use of social media are potential risk factors for adolescent insomnia. The temporal relationship between the three factors suggests that parents, policymakers, and healthcare providers may target reducing nomophobia and addictive use of social media to improve adolescents’ sleep. Full article
(This article belongs to the Special Issue Sleep Quality and Digital Media)
12 pages, 581 KiB  
Article
Electronic Device Use before Bedtime and Sleep Quality among University Students
by Hue Thi Pham, Hsiao-Ling Chuang, Ching-Pyng Kuo, Tzu-Pei Yeh and Wen-Chun Liao
Healthcare 2021, 9(9), 1091; https://doi.org/10.3390/healthcare9091091 - 24 Aug 2021
Cited by 24 | Viewed by 14157
Abstract
Using electronic devices before bedtime impacts sleep quality and has become a major public health issue. This study aims to investigate the associations between electronic devices (EDs) use before bedtime and sleep quality in Vietnamese university students. A total of 369 university students [...] Read more.
Using electronic devices before bedtime impacts sleep quality and has become a major public health issue. This study aims to investigate the associations between electronic devices (EDs) use before bedtime and sleep quality in Vietnamese university students. A total of 369 university students from three departments were recruited. Participants completed self-report surveys, including demographic characteristics, lifestyle, ED-use behaviors, the Pittsburgh Sleep Quality Index, and the Center for Epidemiologic Studies Depression Scale. A total of 48.8% of the students experienced poor sleep quality, and 98.1% reported using at least one type of ED every day within two hours before bedtime. Smartphones are the most used devices (92.3%). ED usage within two hours before bedtime (p = 0.031), lack of exercise (p = 0.006), alcohol consumption (p = 0.025), and coffee intake after 4 pm (p = 0.018) were associated with poor sleep quality. ED use near bedtime for a duration longer than 30 min (p = 0.001) and depression (p < 0.001) were associated with poorer sleep quality among university students. ED use near bedtime more than 30 min was significantly associated with poorer sleep quality after adjusting depression status, exercise, and caffeine/alcohol intake in the latter part of the day. This study emphasizes the importance of adequate sleep and restriction of ED use near bedtime, which are necessary for better sleep in university students. Full article
(This article belongs to the Special Issue Sleep Quality and Digital Media)
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