Sleep Problems and Internet Addiction among Children

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Amany Hassan ◽  
Aisha Abd El Lateef ◽  
Rania Hamed
Keyword(s):  
Internet Addiction ◽  
Sleep Problems

scholarly journals Internet Addiction, Fatigue, and Sleep Problems Among Adolescent Students: a Large-Scale Study

2018 ◽  
Vol 17 (4) ◽  
pp. 959-969 ◽  
Author(s):  
Abdulbari Bener ◽  
Erol Yildirim ◽  
Perihan Torun ◽  
Funda Çatan ◽  
Erkut Bolat ◽  
...  
Keyword(s):  
Internet Addiction ◽  
Large Scale ◽  
Sleep Problems ◽  
Adolescent Students ◽  
Large Scale Study

scholarly journals Internet addiction and sleep problems: A systematic review and meta-analysis

2019 ◽  
Vol 47 ◽  
pp. 51-61 ◽  
Author(s):  
Zainab Alimoradi ◽  
Chung-Ying Lin ◽  
Anders Broström ◽  
Pia H. Bülow ◽  
Zahra Bajalan ◽  
...  
Keyword(s):  
Systematic Review ◽  
Internet Addiction ◽  
Sleep Problems ◽  
Meta Analysis

scholarly journals Internet Addiction and Sleep Problems among Russian Adolescents: A Field School-Based Study

2021 ◽  
Vol 18 (19) ◽  
pp. 10397
Author(s):  
Sergey Tereshchenko ◽  
Edward Kasparov ◽  
Marina Smolnikova ◽  
Margarita Shubina ◽  
Nina Gorbacheva ◽  
...  
Keyword(s):  
Internet Addiction ◽  
Daytime Sleepiness ◽  
Sleep Problems ◽  
Sleep Onset ◽  
Russian Language ◽  
Sleep Onset Latency ◽  
Cross Sectional ◽  
Sleep Parameters ◽  
Nighttime Sleep

This study aims to establish a link between disturbances in the night sleep habitus, quality of sleep, and daytime sleepiness in adolescents with Internet addiction and different types of content consumed. Methods: This is a cross-sectional observational study of a school sample in three large cities in Central Siberia. 4615 schoolchildren of 12–18 years old were examined. The Russian-language versions of the Chen Internet Addiction Scale, the Game Addiction Scale for Adolescents, and the Social Media Disorder Scale were used to identify Internet addiction. Questions from the Pittsburgh Sleep Quality Index questionnaire were used to assess nighttime sleep. Daytime sleepiness was assessed using the Pediatric Daytime Sleepiness Scale questionnaire. Results: Adolescents with Internet addiction go to bed and wake up late; they are characterized by a decrease in the duration of nighttime sleep, an increase in sleep onset latency, and frequent nighttime awakenings, as well as more pronounced daytime sleepiness. Among the sleep parameters studied, the indicators of daytime sleepiness and night awakening scales have the highest effect size in Internet-addicted adolescents, regardless of the media consumed. Conclusion: Internet-addicted adolescents are characterized by significant disturbances in the quality of nighttime sleep and excessive daytime sleepiness, which requires appropriate psychological correction.

scholarly journals Internet Addiction and Sleep Problems among Russian Adolescents: A Field School-Based Study

2021 ◽  
Author(s):  
Sergey Tereshchenko ◽  
Edward Kasparov ◽  
Marina Smolnikova ◽  
Margarita Shubina ◽  
Nina Gorbacheva ◽  
...  
Keyword(s):  
Internet Addiction ◽  
Daytime Sleepiness ◽  
Sleep Problems ◽  
Sleep Onset ◽  
Russian Language ◽  
Sleep Onset Latency ◽  
Cross Sectional ◽  
Sleep Parameters ◽  
Nighttime Sleep

This study aims to establish a link between disturbances in the night sleep habitus, quality of sleep, and daytime sleepiness in adolescents with Internet addiction and different types of content consumed. Methods: This is a cross-sectional observational study of a school sample in three large cities in Central Siberia. 4,615 schoolchildren of 12–18 years old were examined. The Russian-language versions of the Chen Internet Addiction Scale, the Game Addiction Scale for Adolescents, and the Social Media Disorder Scale were used to identify Internet addiction. Questions from the Pittsburgh Sleep Quality Index questionnaire were used to assess nighttime sleep. Daytime sleepiness was assessed using the Pediatric Daytime Sleepiness Scale questionnaire. Results: Adolescents with Internet addiction go to bed and wake up late; they are characterized by a decrease in the duration of nighttime sleep, an increase in sleep onset latency, and frequent nighttime awakenings, as well as more pronounced daytime sleepiness. Among the sleep parameters studied, the indicators of daytime sleepiness and night awakening scales have the highest effect size in Internet-addicted adolescents, regardless of the media consumed. Conclusion: Internet-addicted adolescents are characterized by significant disturbances in the quality of nighttime sleep and excessive daytime sleepiness, which requires appropriate psychological correction.

scholarly journals Epidemiologia do Uso de Internet numa População Adolescente e Sua Relação com Hábitos de Sono

2017 ◽  
Vol 30 (7-8) ◽  
pp. 524 ◽  
Author(s):  
Carla Ferreira ◽  
Helena Ferreira ◽  
Maria João Vieira ◽  
Mónica Costeira ◽  
Liliana Branco ◽  
...  
Keyword(s):  
Social Networks ◽  
Internet Addiction ◽  
Daytime Sleepiness ◽  
Internet Use ◽  
Sleep Problems ◽  
Technological Development ◽  
Online Games ◽  
Self Report ◽  
Cross Sectional ◽  
Sleep Alterations

Introduction: In the last decades, the great technological development increased Internet popularity, emerging the concern about its overuse. The objectives of this study were to assess and characterize Internet use in adolescence, determine Internet addiction and clarify its association with sleep disorders and excessive daytime sleepiness.Material and Methods: It was performed an observational, cross sectional and community-based study. The target were students attending 7th and 8th grades, to whom was applied an online self-report questionnaire to assess sociodemographic features, Internet use, Internet dependence, sleep characteristics and excessive daytime sleepiness.Results: A total of 727 adolescents were included with a mean age 13 ± 0.9 years. Three-quarters of teenagers use Internet daily and 41% do it for three or more hours/day, mainly at home. The phone and laptop were the main devices used. Online games and social networks use were the main activities performed. Internet dependence was observed in 19% of adolescents, and it was associated with male gender, social networks use, mainly Twitter and Instagram use, self-perceived sleep problems, initial and middle insomnia and excessive daytime sleepiness (p < 0.05).Discussion: The results confirm the highlight that Internet has in adolescents routine, who prioritize in their use access to social networks and online games, using single devices, less subject to parental control.Conclusion: The Internet addiction rate observed and its association with sleep alterations and daytime sleepiness emphasizes the importance of this issue.

scholarly journals Implications of COVID-19 and Lockdown on Internet Addiction Among Adolescents: Data From a Developing Country

2021 ◽  
Vol 12 ◽  
Author(s):  
Kristiana Siste ◽  
Enjeline Hanafi ◽  
Lee Thung Sen ◽  
Belinda Julivia Murtani ◽  
Hans Christian ◽  
...  
Keyword(s):  
Internet Addiction ◽  
Sleep Disturbances ◽  
Large Scale ◽  
Internet Use ◽  
Online Survey ◽  
Sleep Problems ◽  
Behavioral Issues ◽  
Psychological Measures ◽  
Increased Risk ◽  
Social Restriction

Introduction: Physical distancing policy during coronavirus disease 2019 (COVID-19) pandemic requires adolescents to spend most of their time at home, thus increasing Internet use duration. Limited social interaction with their peers may lead to loneliness and an increased risk of mental health among adolescents. This study aimed to assess the prevalence of Internet addiction (IA) among adolescents and analyze the influence of psychosocial factors toward the heightened risk of IA during the COVID-19 pandemic.Methods: An online survey comprising sociodemographic questionnaire, Internet Addiction Diagnostic Questionnaire (KDAI), Strengths and Difficulties Questionnaire (SDQ), and Pittsburgh Sleep Quality Index (PSQI) was distributed. Overall, a total of 2,932 adolescents (mean age, 17.38 ± 2.24 years old; female, 78.7%), originating from 33 of 34 provinces in Indonesia, completed the survey.Results: The point prevalence of IA among Indonesian adolescents during the COVID-19 outbreak was 19.3%. Increased Internet use duration, internalization, externalization, low prosocial behavior, and sleep disturbances were found as risk factors of IA, either directly or as mediating variables. Physical distancing, large-scale social restriction (PSBB), and health status were not correlated to IA.Discussion: Physical distancing was not established as a risk of IA. This could be due to other psychological factors such as internalization, externalization, prosocial, and sleep problems that had correlations to IA occurrence among adolescents in the COVID-19 pandemic. Sleep impairment might have resulted from the emotional and behavioral issues and directly contributed to IA development.Conclusion: The present study found the prevalence of IA among Indonesian adolescents to be higher than the adult during the COVID-19 pandemic. Several psychological measures were indicated to increase the risk of IA, while physical distancing did not elevate the risk. Thus, remote schooling is preferable in Indonesia along with proper parental supervision to minimize Internet use for entertainment purposes.

scholarly journals Relationship between migraine and internet addiction in pharmacy students

2020 ◽  
Vol 1 (1) ◽  
pp. 1-6
Author(s):  
Masakazu Ishii ◽  
◽  
Hirotaka Katoh ◽  
Hideyo Kasai ◽  
Masaaki Ishibashi ◽  
...  
Keyword(s):  
Internet Addiction ◽  
Sleep Problems ◽  
Pharmacy Students ◽  
Categorical Variables ◽  
The Internet ◽  
Continuous Variables ◽  
Migraine Group ◽  
Use Of The Internet ◽  
Student’S T ◽  
The Relationship

Background: In recent years, with the rapid popularization of the Internet, lifestyle disturbances, such as insufficient sleep due to excessive use of the Internet, is of concern. Sleep problems are known to trigger migraines. To clarify the relationship between migraine and Internet addiction, a questionnaire survey was conducted for pharmacy students at university. Methods: Internet addiction symptoms were assessed using the Internet Addiction Test (IAT), and migraine was evaluated using modified Japanese migraine screening. Continuous variables were analysed using the unpaired Student’s t-test or one-way analysis of variance followed by multiple Turkey's comparison tests. Categorical variables were analysed by the χ2 test. Results: The recovery rate was 98.9% (442 / 447 students). Of the 288 students who had headaches in the past 3 months, 145 students (32.8%, 145/442 students) were judged as having migraines by migraine screening. Sleep problems (62.1%) were observed in the migraine group. Moreover, sleep deprivation due to headache was noted in 31.7% of the migraine group. The percentage of students with Internet addiction in the migraine group was significantly higher than that in the other headache group or no headache group. Conclusions: Internet addiction was associated with the presence/absence of migraine in pharmacy students at university

Expert: Don't Discount Sleep Problems During Perimenopause

2005 ◽  
Vol 38 (17) ◽  
pp. 43
Author(s):  
DIANA MAHONEY
Keyword(s):  
Sleep Problems
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