No full-text available
To read the full-text of this research,
you can request a copy directly from the authors.
The Effect of Online Gaming on the Students' Sleeping Pattern: A Case Study in University Malaysia Sabah
Abstract
Abstract
One of the pervasive effects of globalisation is the escalating culture of technology being
practised worldwide. In tandem with that, online gaming is one fraction of the global
the technological civilisation that has affected many consumers, particularly students. Previous studies have shown that online gaming can be a damaging addiction and consequently impact avid gamers' sleeping trends. This study is conducted to identify the ensuing relationship between online gaming and its impacts on the students' sleeping pattern. Questionnaires are distributed to 300 students between the ages 18 to 25 years old identified through purposive
sampling. In this study, the quantitative approach is employed to develop a descriptive
analysis that captures frequency values and score min. Besides, inference analysis is
undertaken to ascertain the prevailing relationship between university students' online
gaming and sleeping patterns. Factor analysis is used to analyse a total of 17 parameters
impacts of online gaming. The study found three (3) factors that contribute to online gaming: the first-factor ‘sleep quality, the second-factor ‘duration of sleep' and the third, the 'health' factor. In turn, these had led to several implications such as loss of focus or concentration during lessons and physical complications. In conclusion, this study strongly recommends that the students gain control of their behaviour by practising self-discipline to prevent them from being continuously involved in unproductive activities such as excessive online gaming. Selfdiscipline is indeed a salient practice in facing the challenges of the globalised technological
culture we face today.
Keywords: University Students, Online Game, Sleeping Pattern, Sleep Quality, Duration of
Sleep, Health.
Despite the fact that online gambling is increasing among students in low- and middle-income countries, studies on the reasons and attitudes of university students toward gambling and its associated social, economic, and academic implications on their lives have not been adequately explored in the Ghanaian setting. This study employed an exploratory research design to investigate the reasons and attitudes of students toward online gambling and how online gambling has affected their social, economic, and academic lives on campus. An interview guide was used in soliciting data from fifteen participants. The thematic analytical framework was used to analyze the data. The analysis of the empirical data revealed that the ease of making quick money, the anonymous nature of online gambling and a source of entertainment were the main reasons why participants engaged in online gambling. Again, concerning participants’ attitudes towards gambling, most of them were frequent gamblers and gambled four to seven times a week while a few were occasional gamblers who gambled one to three times a month. The study also found that participants who gambled online ended up becoming depressed, had difficulties with sleeping, and barely concentrated in class because of their addictive attitudes towards online gambling. The study further revealed that the academic lives of participants were negatively affected as a result of excessive gambling. The study recommends that the university management should introduce university gambling policies and programmes to regulate gambling among university students and its associated socio-economic and academic implications.
The public opinion is ever more interested and worried about possible effects of exposure to
VGs (video games) on human life and well-being. Scientific literature shows several evidences
highlighting negative outcomes on behavioural, emotive, cognitive and physical health spheres. All
these aspects are intrinsically linked to sleep quality and quantity and to date very few studies
directly investigated the effects of videogame (VG) exposure on sleep and post-sleep cognitive
status. The aim of the present systematic review is to examine the impact that the exposure to VGs
can produce on sleep pattern and the consequent post-sleep cognitive abilities. To this extent, only
studies directly investigating the effects of VGs on sleep features and post-sleep cognitive abilities
have been selected and discussed. Data currently present in literature show the alteration of sleep
pattern after exposure to VGs. The analysis indicated a reduction of Total Sleep Time (TST) and
an increase of Sleep Onset Latency (SOL), modifications of the REM sleep and Slow Wave Sleep
(SWS), and increased sleepiness and self-perceived fatigue. Moreover, post-sleep sustained attention
and verbal memory also appear to be impaired. It can be concluded that playing VGs for long
periods, particularly in the evening, is a significant, common and probable cause of sleep problems:
evening exposure to VGs, in fact, can bring to insufficient and low quality sleep, with possible
effects on cognition in the subsequent waking days. Potential methodological flaws and limitations
of these studies have also been described and discussed. Because of the very limited number of
available study on this topic further research is strongly needed.
Background
Smartphones are becoming increasingly indispensable in everyday life for most undergraduates in China, and this has been associated with problematic use or addiction. The aim of the current study was to investigate the prevalence of smartphone addiction and the associated factors in male and female undergraduates.
Methods
This cross-sectional study was conducted in 2016 and included 1441 undergraduate students at Wannan Medical College, China. The Smartphone Addiction Scale short version (SAS-SV) was used to assess smartphone addiction among the students, using accepted cut-offs. Participants’ demographic, smartphone usage, and psycho-behavioral data were collected. Multivariate logistic regression models were used to seek associations between smartphone addiction and independent variables among the males and females, separately.
Results
The prevalence of smartphone addiction among participants was 29.8% (30.3% in males and 29.3% in females). Factors associated with smartphone addiction in male students were use of game apps, anxiety, and poor sleep quality. Significant factors for female undergraduates were use of multimedia applications, use of social networking services, depression, anxiety, and poor sleep quality.
Conclusions
Smartphone addiction was common among the medical college students investigated. This study identified associations between smartphone usage, psycho-behavioral factors, and smartphone addiction, and the associations differed between males and females. These results suggest the need for interventions to reduce smartphone addiction among undergraduate students.
Background and aims:
Smartphone addiction, its association with smartphone use, and its predictors have not yet been studied in a European sample. This study investigated indicators of smartphone use, smartphone addiction, and their associations with demographic and health behaviour-related variables in young people.
Methods:
A convenience sample of 1,519 students from 127 Swiss vocational school classes participated in a survey assessing demographic and health-related characteristics as well as indicators of smartphone use and addiction. Smartphone addiction was assessed using a short version of the Smartphone Addiction Scale for Adolescents (SAS-SV). Logistic regression analyses were conducted to investigate demographic and health-related predictors of smartphone addiction.
Results:
Smartphone addiction occurred in 256 (16.9%) of the 1,519 students. Longer duration of smartphone use on a typical day, a shorter time period until first smartphone use in the morning, and reporting that social networking was the most personally relevant smartphone function were associated with smartphone addiction. Smartphone addiction was more prevalent in younger adolescents (15-16 years) compared with young adults (19 years and older), students with both parents born outside Switzerland, persons reporting lower physical activity, and those reporting higher stress. Alcohol and tobacco consumption were unrelated to smartphone addiction.
Discussion:
Different indicators of smartphone use are associated with smartphone addiction and subgroups of young people have a higher prevalence of smartphone addiction.
Conclusions:
The study provides the first insights into smartphone use, smartphone addiction, and predictors of smartphone addiction in young people from a European country, which should be extended in further studies.
Previous research indicated that short sleepers (those who typically sleep 6 or fewer hours out of every 24) report more symptoms of psychological maladjustment than do long sleepers (those who sleep more than 9 hours). The presence of psychological maladjustment symptoms have been found to negatively
affect academic performance. Hence, it was hypothesized that short sleepers would report lower grade-point averages than those classified as long sleepers. A college student sample's self-reported typical sleep length and grade-point averages were explored. It was found that short sleepers reported significantly lower overall grade-point averages than did long sleepers. Directions for future research are offered.
This descriptive, cross-sectional study was based on subjective questionnaires that assessed nighttime habits of television viewing and Internet use during weekdays and perceived sleep quality among university students. Sleep perception was measured using the Pittsburgh Sleep Quality Index (PSQI). The study group comprised 710 university students aged 17-25 years. Analysis of sleep perception in relation to internet use revealed that 58. Qualidade do sono entre universitários: os efeitos da utilização do computador e televisão no período da noite resumo Este estudo transversal descritivo com base em questionários subjetivos avalia o hábito de assistir TV e acessar a internet durante as noites nos dias de semana e a percepção da qualidade do sono entre universitários. Para avaliar a percepção do sono foi aplicado o Índice de Qualidade do Sono de Pittsburgh. O grupo estudado incluiu 710 universitários entre 17-25 anos. Para as análises da percepção do sono relacionado ao hábito de acessar o computador observou-se que acessam a internet e dormem mal: 58,06% entre as 19 e as 21h; 71,43% entre as 19 e as 22h; 73,33% entre as 19 e as 24h; 52,38% entre as 19 e as 3h (p=0,0251). Em relação aos horários de assistir TV e a percepção do sono os grupos não se diferenciaram entre si (p=0,9303). O estudo demonstra que acessar a internet durante os horários das 19 às 24h aumenta as chances dos jovens dormirem mal quando comparado aos horários de assistir TV. Palavras-chave: qualidade do sono, internet, televisão, distúrbios do sono.
Daytime sleepiness, sleep deprivation, and irregular sleep schedules are highly prevalent among college students, as 50% report daytime sleepiness and 70% attain insufficient sleep. The consequences of sleep deprivation and daytime sleepiness are especially problematic to college students and can result in lower grade point averages, increased risk of academic failure, compromised learning, impaired mood, and increased risk of motor vehicle accidents. This article reviews the current prevalence of sleepiness and sleep deprivation among college students, contributing factors for sleep deprivation, and the role of sleep in learning and memory. The impact of sleep and sleep disorders on academics, grade point average, driving, and mood will be examined. Most importantly, effective and viable interventions to decrease sleepiness and sleep deprivation through sleep education classes, online programs, encouragement of naps, and adjustment of class time will be reviewed. This paper highlights that addressing sleep issues, which are not often considered as a risk factor for depression and academic failure, should be encouraged. Promotion of university and college policies and class schedules that encourage healthy and adequate sleep could have a significant impact on the sleep, learning, and health of college students. Future research to investigate effective and feasible interventions, which disseminate both sleep knowledge and encouragement of healthy sleep habits to college students in a time and cost effective manner, is a priority.
Purpose
This study aimed to classify distinct subgroups of people who use both smartphone and the internet based on addiction severity levels. Additionally, how the classified groups differed in terms of sex and psychosocial traits was examined.
Methods
A total of 448 university students (178 males and 270 females) in Korea participated. The participants were given a set of questionnaires examining the severity of their internet and smartphone addictions, their mood, their anxiety, and their personality. Latent class analysis and ANOVA (analysis of variance) were the statistical methods used.
Results
Significant differences between males and females were found for most of the variables (all <0.05). Specifically, in terms of internet usage, males were more addicted than females (P<0.05); however, regarding smartphone, this pattern was reversed (P<0.001). Due to these observed differences, classifications of the subjects into subgroups based on internet and smartphone addiction were performed separately for each sex. Each sex showed clear patterns with the three-class model based on likelihood level of internet and smartphone addiction (P<0.001). A common trend for psychosocial trait factors was found for both sexes: anxiety levels and neurotic personality traits increased with addiction severity levels (all P<0.001). However, Lie dimension was inversely related to the addiction severity levels (all P<0.01).
Conclusion
Through the latent classification process, this study identified three distinct internet and smartphone user groups in each sex. Moreover, psychosocial traits that differed in terms of addiction severity levels were also examined. It is expected that these results should aid the understanding of traits of internet and smartphone addiction and facilitate further study in this field.
Sleep reduction, resulting from insufficient or poor sleep, is a common phenomenon in adolescents. Due to its severe negative psychological and behavioral daytime consequences, it is important to have a reliable and valid measure to assess symptoms of sleep reduction. This study aims to validate the Sleep Reduction Screening Questionnaire (SRSQ) that can be used to screen for symptoms of sleep reduction in adolescents. Various samples from the general population and clinical cases were included in the study. The SRSQ is a nine-item questionnaire that is based on the longer, four dimensional Chronic Sleep Reduction Questionnaire (Meijer 2008). Items were selected on the basis of principal components analysis, item-total correlations, and substantive consideration. The SRSQ was validated by calculating correlations with self-reported and objective sleep and self-reported daytime functioning. Cut-off scores were determined so that the SRSQ can be used as a screening instrument. Internal consistencies of the SRSQ were good (Cronbach’s alpha = .79 in the general population). Correlations with self-reported sleep, daytime functioning and objective sleep variables were satisfactory and in the expected directions. The SRSQ discriminates well between clinical and non-clinical cases. When accounting for prevalence of sleep reduction symptoms in the general population, the Area Under the Curve (AUC) was .91, sensitivity was .80 and specificity was .87. The SRSQ appears to be a reliable and valid questionnaire. Due to the limited number of items and the availability of cut-off scores, it is a practical tool for clinical and research purposes.
This study was designed to investigate the revised and short version of the smartphone addiction scale and the proof of its validity in adolescents. In addition, it suggested cutting off the values by gender in order to determine smartphone addiction and elaborate the characteristics of smartphone usage in adolescents.
A set of questionnaires were provided to a total of 540 selected participants from April to May of 2013. The participants consisted of 343 boys and 197 girls, and their average age was 14.5 years old. The content validity was performed on a selection of shortened items, while an internal-consistency test was conducted for the verification of its reliability. The concurrent validity was confirmed using SAS, SAPS and KS-scale. Receiver operating characteristics analysis was conducted to suggest cut-off.
The 10 final questions were selected using content validity. The internal consistency and concurrent validity of SAS were verified with a Cronbach's alpha of 0.911. The SAS-SV was significantly correlated with the SAS, SAPS and KS-scale. The SAS-SV scores of gender (p<.001) and self-evaluation of smartphone addiction (p<.001) showed significant difference. The ROC analysis results showed an area under a curve (AUC) value of 0.963(0.888-1.000), a cut-off value of 31, sensitivity value of 0.867 and specificity value of 0.893 in boys while an AUC value of 0.947(0.887-1.000), a cut-off value of 33, sensitivity value of 0.875, and a specificity value of 0.886 in girls.
The SAS-SV showed good reliability and validity for the assessment of smartphone addiction. The smartphone addiction scale short version, which was developed and validated in this study, could be used efficiently for the evaluation of smartphone addiction in community and research areas.
Online game is an increasingly popular source of entertainment for all ages, with relatively prevalent negative consequences. Addiction is a problem that has received much attention. This research aims to develop a measure of online game addiction for Indonesian children and adolescents. The Indonesian Online Game Addiction Questionnaire draws from earlier theories and research on the internet and game addiction. Its construction is further enriched by including findings from qualitative interviews and field observation to ensure appropriate expression of the items. The measure consists of 7 items with a 5-point Likert Scale. It is validated by testing 1,477 Indonesian junior and senior high school students from several schools in Manado, Medan, Pontianak, and Yogyakarta. The validation evidence is shown by item-total correlation and criterion validity. The Indonesian Online Game Addiction Questionnaire has good item-total correlation (ranging from 0.29 to 0.55) and acceptable reliability (α = 0.73). It is also moderately correlated with the participant's longest time record to play online games (r = 0.39; p<0.01), average days per week in playing online games (ρ = 0.43; p<0.01), average hours per days in playing online games (ρ = 0.41; p<0.01), and monthly expenditure for online games (ρ = 0.30; p<0.01). Furthermore, we created a clinical cut-off estimate by combining criteria and population norm. The clinical cut-off estimate showed that the score of 14 to 21 may indicate mild online game addiction, and the score of 22 and above may indicate online game addiction. Overall, the result shows that Indonesian Online Game Addiction Questionnaire has sufficient psychometric property for research use, as well as limited clinical application.
Deep engagement in video game-playing has the potential to be to be one important determinant of the impact of playing violent video games, but there are currently no reliable measures of this subjective experience. To fill this gap, the Game Engagement Questionnaire (GEQ) was developed using both classical and Rasch analyses. In Study 1 Rasch analyses provide support for the reliability and functionality of the GEQ scores. Rasch analyses also demonstrate that the GEQ has adequate separation, fit, rating scale functioning, and dimensionality, suggesting that one’s tendency to become engaged in video game-playing is a quantifiable construct. In Study 2, behavioral and questionnaire data supported the reliability and validity of the GEQ for predicting engagement in violent video games. The GEQ provides a psychometrically strong measure of levels of engagement specifically elicited while playing video games, and thus shows promise for future research examining risk and protective factors for negative game impact.
Data about college student sleep were collected and used to develop an education campaign to improve sleep.
On-campus residents at a large state university were surveyed on 4 occasions, October 2005 to April 2007. Sample size was 675 to 1,823 students. Fall 2005 mean age = 18.5 years, SD = 1.03 (range 18-30) years. Initial survey included 935 males and 1,859 females (2005-2006). Matched pairs data (2006-2007) included 91 males and 107 females. Twenty-six males and 22 females participated in interviews.
A survey administered online included the Pittsburgh Sleep Quality Index, along with an 8-question in-person interview.
Poor sleep interacted with academics and mental health, and an education campaign positively affected student sleep.
Teaching students how to effectively manage sleep can improve their well-being. Sleep may also be a gateway topic for health care professionals to address sensitive health issues such as depression.
Background:
Although insomnia is a prevalent complaint with significant morbidity, it often remains unrecognized and untreated. Brief and valid instruments are needed both for screening and outcome assessment. This study examined psychometric indices of the Insomnia Severity Index (ISI) to detect cases of insomnia in a population-based sample and to evaluate treatment response in a clinical sample.
Methods:
Participants were 959 individuals selected from the community for an epidemiological study of insomnia (Community sample) and 183 individuals evaluated for insomnia treatment and 62 controls without insomnia (Clinical sample). They completed the ISI and several measures of sleep quality, fatigue, psychological symptoms, and quality of life; those in the Clinical sample also completed sleep diaries, polysomnography, and interviews to validate their insomnia/good sleep status and assess treatment response. In addition to standard psychometric indices of reliability and validity, item response theory analyses were computed to examine ISI item response patterns. Receiver operating curves were used to derive optimal cutoff scores for case identification and to quantify the minimally important changes in relation to global improvement ratings obtained by an independent assessor.
Results:
ISI internal consistency was excellent for both samples (Cronbach α of 0.90 and 0.91). Item response analyses revealed adequate discriminatory capacity for 5 of the 7 items. Convergent validity was supported by significant correlations between total ISI score and measures of fatigue, quality of life, anxiety, and depression. A cutoff score of 10 was optimal (86.1% sensitivity and 87.7% specificity) for detecting insomnia cases in the community sample. In the clinical sample, a change score of -8.4 points (95% CI: -7.1, -9.4) was associated with moderate improvement as rated by an independent assessor after treatment.
Conclusion:
These findings provide further evidence that the ISI is a reliable and valid instrument to detect cases of insomnia in the population and is sensitive to treatment response in clinical patients.
To examine whether sleep hygiene-related factors are associated with sleep quality among university students.
Cross-sectional survey.
A university in Hong Kong.
Full-time university students recruited by convenience sampling.
Responses to a sleep questionnaire containing the Pittsburgh Sleep Quality Index and obtaining sleep hygiene knowledge and practice, as well as knowledge on caffeine were used for data collection.
Regression analysis with stepwise selection procedure revealed that sleep hygiene practice was significantly associated with the Pittsburgh Sleep Quality Index score after adjusting for age, gender, year of study, and type of residence (b= -0.08, P<0.001).
Our study's results indicated that sleep hygiene practice was significantly associated with sleep quality. Appropriate measures and sleep hygiene education need to be emphasised among university students in order to increase their awareness on the importance of adopting healthy sleep hygiene practices.
To assess the prevalence of the use of mobile phones by adolescents after lights out and its relationship to tiredness levels after one year.
Prospective cohort study with self-reports and follow up questionnaire after one year.
Second- and fifth-year secondary school children in 15 schools in Flanders, Belgium.
1656 school children; 52.1% boys. Average age was 13.7 years (SD: 0.68) in the youngest group and 16.9 years (SD: 0.83) in the oldest group at baseline.
Self-reported tiredness.
Only 38% of the subjects never used their mobile phone after lights out. Multinomial logistic regression showed that using the mobile phone less than once a month increased the odds of being very tired one year later by 1.8 (95% CI 1.2-2.8). Those who used it less than once a week were 2.2 times more likely to be very tired (95% CI 1.4-3.5). Using it about once a week increased the odds by 3.3 (95% CI 1.9-5.7) and those who used it more than once a week were 5.1 times more likely to be very tired (95% CI 2.5-10.4). Overall 35% of the cases of being very tired were attributed to the use of the mobile phone. Use of the phone right after lights out increased the odds of being very tired by 2.2 (95% CI 1.4-3.4); between 00:00 and 03:00 the odds were 3.9 times higher (95% CI 2.1-7.1), and in those who used it at any time of the night the odds were 3.3 times higher (95% CI 1.8-6.0).
Mobile phone use after lights out is very prevalent among adolescents. Its use is related to increased levels of tiredness. There is no safe dose and no safe time for using the mobile phone for text messaging or for calling after lights out.
Since gender effect is inconsistent and grade effect has not been addressed in previous studies, we investigated both effects on the daily sleep patterns in a group of young college students.
The sample consisted of 237 students aged 18-24 years. Each subject completed a 7-day sleep log.
Gender differences were found in several sleep variables and those were mostly not dependent on weekday/weekend difference. The female students went to bed and rose earlier and had longer sleep latency, more awakenings, and poorer sleep quality than the male. Gender differences were also shown in the relationship between sleep quality and other sleep variables. The correlation between sleep quality and rise time, time in bed, and sleep efficiency was stronger in men than in women. In contrast, grade differences were mostly dependent on weekday/weekend difference. The freshmen rose earlier and had shorter sleep time than did the other students on weekdays only. Sleep latency was the longest in seniors on weekdays only.
This study showed that gender differences in sleep patterns and sleep difficulties were remarkable in the group of young college students. Alarmed by the high prevalence of sleep difficulties among general college students, it is recommended that the students should be informed of their sleep problems and the consequences.
The purpose of this study is to examine the relationships between smartphone addiction, cyberloafing, stress and social support. The research data were collected from 885 undergraduate students studying at a public university in Turkey using an online questionnaire. The relationship between the variables was tested by path analysis. The results of the research showed that class level, family income and place of residence had no significant effect on smartphone addiction, cyberloafing, stress and perceived social support. Smartphone addiction, stress and perceived social support differed significantly by gender. Stress has significant effect on cyberloafing and smartphone addiction, and cyberloafing has significant effect on smartphone addiction. Social support has a small but significant effect on cyberloafing, but it has no significant effect on stress. The results of the research are discussed with regard to higher education students and future studies.
The current study investigated the rates of addictions to Internet use, online gaming, and online social networking as well as their associations with depressive symptoms among young adults in China, Singapore, and the United States. A total of 3267 undergraduate students were recruited. Psychological instruments were used to assess various Internet-related addictions and depressive symptoms. Male students were more addicted to Internet and online gaming whereas female students were more addicted to online social networking. Compared with students in the United States, Chinese and Singaporean students were more addicted to Internet use and online social networking but less to online gaming. The odds of depression among students with addiction to various Internet-related addictions were highest in China. Internet-related addiction is a new public health concern of young adults, especially in the Asia-Pacific regions. It is found to associate with depressive symptoms. Strategies should address this phenomenon with attention to specific needs of gender and region while managing mood disturbances.
Study objectives
Insufficient sleep among adolescents carries significant health risks, making it important to determine social factors that change sleep duration. We sought to determine whether the self-reported sleep duration of U.S. adolescents changed between 2009 and 2015 and examine whether new media screen time (relative to other factors) might be responsible for changes in sleep.
Methods
We drew from yearly, nationally representative surveys of sleep duration and time use among adolescents conducted since 1991 (Monitoring the Future) and 2007 (Youth Risk Behavior Surveillance System of the Centers for Disease Control; total N = 369,595).
Results
Compared to 2009, adolescents in 2015 were 16%–17% more likely to report sleeping less than 7 h a night on most nights, with an increase in short sleep duration after 2011–2013. New media screen time (electronic device use, social media, and reading news online) increased over this time period and was associated with increased odds of short sleep duration, with a clear exposure–response relationship for electronic devices after 2 or more hours of use per day. Other activities associated with short sleep duration, such as homework time, working for pay, and TV watching, were relatively stable or reduced over this time period, making it unlikely that these activities caused the sudden increase in short sleep duration.
Conclusions
Increased new media screen time may be involved in the recent increases (from 35% to 41% and from 37% to 43%) in short sleep among adolescents. Public health interventions should consider electronic device use as a target of intervention to improve adolescent health.
Aims:
A possible addiction mechanism has been represented by altered functional connectivity (FC) in the resting state. The aim of this study was to evaluate the FCs of the insula and nucleus accumbens among subjects with Internet gaming disorder (IGD).
Methods:
We recruited 30 males with IGD and 30 controls and evaluated their FC using functional magnetic imaging scanning under resting, a state with relaxation, closed eyes, with inducement to think of nothing systematically, become motionless, and instructed not to fall asleep.
Results:
Subjects with IGD had a lower FC with the left insula over the left dorsolateral prefrontal cortex (DLPFC) and orbital frontal lobe and a higher FC with the insula with the contralateral insula than controls. The inter-hemispheric insula connectivity positively correlated with impulsivity. Further, they had lower FC with the left nucleus accumbens over the left DLPFC and with the right nucleus accumbens over the left DLPFC, and insula and a higher FC with that over the right precuneus.
Conclusion:
The elevated inter-hemispheric insula FC is found to be associated with impulsivity and might explain why it is involved in IGD. The attenuated frontostriatal suggests that the emotion-driven gaming urge through nucleus accumbens could not be well regulated by the frontal lobe of subjects with IGD.
Although sleep has been the subject of serious study for several decades, there has not been available an integrated, introductory text for more than ten years. Understanding Sleep and Dreaming fills this need with complete coverage of all aspects of sleep, dreaming, and sleep disorders, and is comprehensible as well as comprehensive. In accessible language, this text reviews the basic physiological mechanisms of sleep and the intertwined psychological ramifications. Most important, it is up-to-date, containing the latest information on the influence of orexin/hypocretin, nocturnal eating syndrome, the local cell theory of sleep, the effects of sleep deprivation, and the advantages of delaying school start times for teenagers. Distilling twenty five years of combined clinical, research, and teaching experience, Dr. Moorcroft has created an excellent text for undergraduates, graduate students, and professionals as well as for the general reader who wants a better understanding of the sleep process and its disorders. © 2005 Springer Sclence+Business Media, Inc. All rlghts reserved.
In modern people, smartphone is used in many fields of life styles in world wide. Its convenience and function are improved. Appropriate sleeping is essential to modern people. The overuse of smartphone threats sleeping of modern people. Result of this study shows that the deeper the addiction with smart phones the lower the quality of sleep, especially in troubles staying awake. The quality of sleep also associated with general factors including spending money, type of housing and degree of stress. There is a correlation between smart phone dependency and the quality of sleep and the more severe the dependency the more likely that the quality of sleep might fall. So we need adequate education to use smartphone for saving sleeping of modern people.
Some have argued that the proliferation of personal computers and the widespread use of the Internet have greatly benefited society. However, a recognized problem occurs as persons spend excessive amounts of time online, which may lead to problems in other areas of their lives. Peer-reviewed articles and articles in the media have shown massively multiplayer online role-playing games to be one area of concern. All health care providers should be aware of how to recognize and treat this potential problem. To date, few randomized controlled trials have been conducted to evaluate treatment for this type of addiction.
The aim of this study was to investigate sleep duration and its health correlates in university students from 26 low-, middle- and high-income countries. Using anonymous questionnaires and anthropometric measurements, data were collected from 19417 undergraduate university students (mean age 20.8, SD = 2.8) from 27 universities from 26 countries across Asia, Africa and the Americas. Results indicate that the average number of self-reported hours of sleep was 7.07 (CI = 7.04-7.09), with the prevalence of reporting ≤6, 7-8, and ≥9 h sleep duration of 39.2, 46.9, and 13.9%, respectively. Multinomial logistic regression found that sociodemographic variables, health risk behaviour and health status variables were found to be associated with short and long sleep duration.
We systematically examined and updated the scientific literature on the association between screen time (e.g., television, computers, video games, and mobile devices) and sleep outcomes among school-aged children and adolescents. We reviewed 67 studies published from 1999 to early 2014. We found that screen time is adversely associated with sleep outcomes (primarily shortened duration and delayed timing) in 90% of studies. Some of the results varied by type of screen exposure, age of participant, gender, and day of the week. While the evidence regarding the association between screen time and sleep is consistent, we discuss limitations of the current studies: 1.) causal association not confirmed; 2.) measurement error (of both screen time exposure and sleep measures); 3.) limited data on simultaneous use of multiple screens, characteristics and content of screens used. Youth should be advised to limit or reduce screen time exposure, especially before or during bedtime hours to minimize any harmful effects of screen time on sleep and well-being. Future research should better account for the methodological limitations of the extant studies, and seek to better understand the magnitude and mechanisms of the association. These steps will help the development and implementation of policies or interventions related to screen time among youth.
Objectives:
To examine the trajectories of sleep duration and nocturnal awakenings in infants from 6 to 18 months of age and to identify predictors of short sleep duration and nocturnal awakenings.
Methods:
Data for this study come from the Norwegian Mother and Child Cohort Study conducted at the Norwegian Institute of Public Health. A total of 55,831 mother reports of child sleep were used to estimate the stability and predictors of awakenings and short sleep.
Results:
Nocturnal awakenings were frequent among 6-month-old children. Although there was an overall reduction in both sleep duration and nocturnal awakenings from 6 to 18 months, the chronicity of sleep problems was high and impacted by prior sleep behavior and sleeping arrangements. Bedsharing was an independent and graded predictor of nocturnal awakenings and short sleep duration, also after controlling for prior sleep. Breastfeeding was related to concurrent nocturnal awakening but was not negatively related to later nocturnal awakenings.
Conclusions:
Considering the chronicity of nocturnal awakening and its association with bedsharing, our findings support current recommendations of reducing bedsharing to improve sleep among infants.
To describe the technology use and sleep quality of Americans, and the unique association between technology use and sleep disturbances.
Interviews were conducted via random digit dialing (N = 750) or the Internet (N = 758). 1,508 Americans (13-64 years old, 50% males) matched to 2009 U.S. Census data provided complete interviews. The sample was further divided into adolescents (13-18 years, N = 171), young adults (19-29 years, N = 293), middle-aged adults (30-45 years, N = 469), and older adults (46-64 years, N = 565) to contrast different generations' technology use. Participants answered a 47-item semi-structured survey, including questions about their sleep habits, and the presence and use of technology in the hour before bed in the past 2 weeks.
Nine of 10 Americans reported using a technological device in the hour before bed (e.g., TVs the most popular; 60%). However, those under 30 years of age were more likely to use cell phones (72% of adolescents, 67% of young adults) than those over 30 years (36% of middle-aged, and 16% of older adults). Young adults' sleep patterns were significantly later than other age groups on both weekdays and weekend nights. Unlike passive technological devices (e.g., TV, mp3 music players), the more interactive technological devices (i.e., computers/laptops, cell phones, video game consoles) used in the hour before bed, the more likely difficulties falling asleep (β = 9.4, p < 0.0001) and unrefreshing sleep (β = 6.4, p < 0.04) were reported.
Technology use near bedtime is extremely prevalent in the United States. Among a range of technologies, interactive technological devices are most strongly associated with sleep complaints.
A commentary on this article appears in this issue on page 1301.
Gradisar M; Wolfson AR; Harvey AG; Hale L; Rosenberg R; Czeisler CA. The sleep and technology use of Americans: findings from the National Sleep Foundation's 2011 Sleep in America Poll. J Clin Sleep Med 2013;9(12):1291-1299.
Historically, the relationship between student academic achievement and use of computers for fun and video gaming has been described from a multitude of perspectives, from positive, to negative, to neutral. However, recent research has indicated that computer use and video gaming may be positively associated with achievement, yet these studies have focused on small intact and qualitative samples. The purpose of the present study is to examine the association between academic achievement in high school and student use of computers for fun and video gaming using the large nationally representative ELS:2002 sample of students in grade 10 in 2002 and an independent effects two-level hierarchical linear model. Our results indicate that both student use of computers for fun and moderate levels of video gaming were positive and significant on cross-sectional reading and mathematics achievement assessments in high school, controlling for multiple covariates of achievement, but were not related to growth in mathematics from grade 10 to grade 12.
This is Part V of a series of reports on rationales and techniques of matrix factoring which play an important role in multivariate analysis techniques. Indeed, it may well be said that all adequate models and methods of multivariate analysis are special cases of matrix factoring techniques. The more traditional methods of factor analysis, in particular, are special cases of more general matrix factoring techniques, as are also all multiple regression models.
Electronic media are widespread and research has revealed connections between media use and sleep loss. In this study we aimed to elucidate how many media users get insufficient sleep and whether lengthy media use before sleep curtails sleep. Registered monitor members were surveyed twice on the Internet. The prevalence of self-perceived insufficient sleep ascribed by respondents to using electronic media before sleep was 48.0% (first survey) and 45.0% (second survey). Younger respondents more frequently ascribed using media before sleep as a factor in their perceived insufficient sleep than older respondents. After excluding respondents who ascribed their perceived insufficient sleep to factors other than the electronic media, the sleep duration before a workday was 6.38 ± 1.04 h for light media users (<2.5 h) before sleep, 6.20 ± 1.10 h for intermediate users (≥2.5 and <3.5 h) and 6.22 ± 1.09 h for heavy users (≥3.5 h). A Scheffe analysis revealed a significant difference between the light users and medium users (P = 0.02), and between light users and heavy users (P = 0.03). Only 29.0% of light users perceived they had insufficient sleep compared to 53.5% of heavy users. Users who perceived they had insufficient sleep reported a greater disparity in their sleep duration before workdays compared with that before non-workdays (P < 0.001) and a greater disparity between their perceived sufficient sleep hours and their actual sleep time before workdays (P < 0.001). There was a significant difference in disparity between perceived sufficient sleep and actual sleep time before workdays among media use groups (P = 0.002). Because half the respondents ascribed insufficient sleep to using electronic media, attention should be given to media use before sleep as a cause of perceived insufficient sleep.
Aim: The purpose of this study was to examine the association of Internet overuse with excessive daytime sleepiness (EDS).
Methods: A total of 2336 high school students in South Korea (boys, 57.5%; girls, 42.5%) completed the structured questionnaire. The severity of Internet addiction was evaluated using Young's Internet addiction test.
Results: The proportions of boys who were classified as Internet addicts and possible Internet addicts were 2.5% and 53.7%, respectively. For girls, the corresponding proportions were 1.9% and 38.9%, respectively. The prevalence of EDS was 11.2% (boys, 11.2%; girls, 11.1%). When Internet addicts were compared with non-addicts, they consisted of more boys, drank alcohol more, and considered their own health condition as poor. But smoking was not related with Internet addiction. The prevalence rate of EDS for Internet addicts was 37.7%, whereas that for possible Internet addicts and non-addicts was 13.9% and 7.4%, respectively. The prevalence of insomnia, witnessed snoring, apnea, teeth grinding, and nightmares was highest in Internet addicts, middle in possible addicts, and lowest in non-addicts. With adjustment for duration of Internet use, duration of sleep time, age, gender, smoking, taking painkillers due to headache, insomnia symptoms, witnessed apnea, and nightmares, the odds of EDS were 5.2-fold greater (95% confidence interval [CI]: 2.7–10.2) in Internet addicts and 1.9-fold greater (95%CI: 1.4–2.6) in possible Internet addicts compared to non-addicts.
Conclusion: Internet addiction is strongly associated with EDS in adolescents. Clinicians should consider examining Internet addiction in adolescent cases of EDS.
The main purpose of the present study is to develop a measure of problematic online game use by identifying underlying factors and testing external validities of the scale. The authors tested the scale with the three age groups: 5th, 8th, and 11th graders. Through a series of exploratory and confirmatory factor analyses, the present study confirmed that the POGU scale produced reliable and consistent factorial structures across the independent samples. The results supported convergent validity of the scale: POGU showed significant correlations with academic self-efficacy, anxiety, loneliness, and satisfaction with daily life. The results also supported the discriminant validity. The POGU scale did not redundantly measure any of individual difference constructs and was statistically distinguishable from the closely correlated constructs.
Chronic insomnia affects nearly 16% of adults and up to 25% of children. Many clinicians are unfamiliar with the research and practice of psychological treatments of insomnia and thus do not use them with their patients. The primary goals of this article were to (a) review the research support for psychological treatments of adult and child insomnia, and (b) describe those treatments with the highest level of research support in enough detail to allow practitioners to begin to utilize them with their own patients. The adult psychological treatments with the best research support are stimulus control, progressive muscle relaxation, and multimodal cognitive-behavioral therapy, followed by multimodal behavioral therapy, sleep restriction, biofeedback, and paradoxical intention. The child psychological treatments with the highest level of research support are preventive parent education, unmodified extinction, and extinction with parental presence, followed by graduated extinction, bedtime fading/positive routines, and scheduled awakenings.
The negative association of insomnia and internet addiction with mental health is widely documented in the literature, yet little is known about their inter-relationships. The primary aim of this study was to examine the inter-relationships between insomnia, internet addiction and depression. A total of 719 Chinese adolescents in Hong Kong participated in this school-based cross-sectional study. Participants completed the Chinese version of the Pittsburgh Sleep Quality Index (PSQI), the Chinese Internet Addiction Scale (CIAS), the 12-item version of General Health Questionnaire (GHQ-12) and questions assessing internet use pattern and sociodemographic characteristics. The classification of internet addiction and insomnia was based on the CIAS cutoff global score >63 and PSQI cutoff global score >5, respectively. Multiple regression analyses tested the effects of insomnia and internet addiction on depression. Among students with internet addiction (17.2%), 51.7% were also identified as insomniacs. Internet addicts scored significantly poorer on all PSQI components, except sleep duration, than their non-addicted counterparts. After adjustment for gender and internet use time, both internet addiction (β=0.05; Sobel test Z=6.50, P<0.001) and insomnia (β=0.59; Sobel test Z=4.49, P<0.001) demonstrated a significant association with depression. Overall, there is high comorbidity between internet addiction and insomnia. Both insomnia and internet addiction emerged as significant explanatory factors, but they exerted differential effects on depression. Future research should be directed at determining the causal relationship between internet addiction and insomnia, and its underlying mechanism with depression.
This paper presents the history of research and the results of recent studies on the effects of sleep deprivation in animals and humans. Humans can bear several days of continuous sleeplessness, experiencing deterioration in wellbeing and effectiveness; however, also a shorter reduction in the sleep time may lead to deteriorated functioning. Sleeplessness accounts for impaired perception, difficulties in keeping concentration, vision disturbances, slower reactions, as well as the appearance of microepisodes of sleep during wakefulness which lead to lower capabilities and efficiency of task performance and to increased number of errors. Sleep deprivation results in poor memorizing, schematic thinking, which yields wrong decisions, and emotional disturbances such as deteriorated interpersonal responses and increased aggressiveness. The symptoms are accompanied by brain tissue hypometabolism, particularly in the thalamus, prefrontal, frontal and occipital cortex and motor speech centres. Sleep deficiency intensifies muscle tonus and coexisting tremor, speech performance becomes monotonous and unclear, and sensitivity to pain is higher. Sleeplessness also relates to the changes in the immune response and the pattern of hormonal secretion, of the growth hormone in particular. The risk of obesity, diabetes and cardiovascular disease increases. The impairment of performance which is caused by 20-25 hours of sleeplessness is comparable to that after ethanol intoxication at the level of 0.10% blood alcohol concentration. The consequences of chronic sleep reduction or a shallow sleep repeated for several days tend to accumulate and resemble the effects of acute sleep deprivation lasting several dozen hours. At work, such effects hinder proper performance of many essential tasks and in extreme situations (machine operation or vehicle driving), sleep loss may be hazardous to the worker and his/her environment.
Video-game use before bedtime has been linked with poor sleep outcomes for adolescents; however, experimental evidence to support this link is sparse. The present study investigated the capacity of presleep video-game playing to extend sleep latency and reduce subjective feelings of sleepiness in adolescents. The arousing psychophysiologic mechanisms involved and the impact of presleep video-game playing on sleep architecture were also explored.
Thirteen male adolescent "evening types" (mean age = 16.6 years, SD = 1.1) participated in a counterbalanced, within-subjects design with experimental (active video gaming) and control (passive DVD watching) conditions. The experiment was conducted in the Flinders University Sleep Research Laboratory.
Relative to the control condition, presleep video-game playing increased sleep-onset latency (Z= 2.45, p= .01) and reduced subjective sleepiness (Z = 2.36, p = .02)-but only slightly. Video gaming was related to changes in cognitive alertness (as measured by a power: p < 0.01) but not physiologic arousal (as measured by heart rate: p > 0.05). Contrary to previous findings, sleep architecture was unaffected (both rapid eye movement and slow wave sleep: p > 0.05).
Results suggest the direct effect of presleep video-game playing on adolescent sleep may be more modest than previously thought, suggesting that surveys linking stimulating presleep activities to poor sleep need substantiating with empirical evidence.
Adolescents may not receive the sleep they need. New media technology and new, popular energy drinks may be implicated in sleep deficits. In this pilot study we quantified nighttime technology use and caffeine consumption to determine effects on sleep duration and daytime behaviors in adolescents. We hypothesized that with increased technology use, adolescents increase caffeine consumption, resulting in insufficient sleep duration.
Subjects were recruited from a pediatric office in a proximal suburb of Philadelphia, Pennsylvania. Inclusion criteria for this study were middle and high school subjects aged 12 to 18 years old. The questionnaire, Adolescent Sleep, Caffeine Intake, and Technology Use, was developed by the investigators to measure adolescents' intake of caffeinated drinks, use of nighttime media-related technology, and sleep behaviors. Descriptive statistics characterized the subjects, their caffeine and technology use, and sleep variables. Regression models assessed the relationships between caffeine, technology use, and sleep variables, having adjusted for age, race, gender, and BMI.
Sleep was significantly related to the multitasking index. Teenagers getting 8 to 10 hours of sleep on school nights tended to have 1.5- to 2-fold lower multitasking indices compared with those getting less sleep. Thirty-three percent of the teenagers reported falling asleep during school. Caffeine consumption tended to be 76% higher by those who fell asleep. The log-transformed multitasking index was significantly related to falling asleep during school and with difficulties falling asleep on weeknights.
Many adolescents used multiple forms of technology late into the night and concurrently consumed caffeinated beverages. Subsequently, their ability to stay alert and fully functional throughout the day was impaired by excessive daytime sleepiness. Future studies should measure more than television hours when evaluating the impact of nighttime activities on sleep patterns in adolescents.
The function(s) of sleep would probably be better understood if the metabolic processes taking place within the central nervous system (CNS) during sleep were known in greater detail. The general pattern of the energy requirements of the brain during sleep is now outlined. Brain energy metabolism dramatically decreases during slow wave sleep (SWS) whereas, during rapid eye movement sleep (REMS), the level of metabolism is similar to that of wakefulness. However, these modifications of the energy metabolism, in good agreement with intracerebral recordings of neuronal firing, do not help in identifying the function(s) of sleep, since they are in line with several theories of sleep function(s) (protection, energy conservation, brain cooling, tissue restitution). On the other hand, several studies of brain basal metabolism suggest an enhanced synthesis of macromolecules such as nucleic acids and proteins in the brain during sleep. However, up to now, these data remain scarce and controversial. As a consequence, the research in the field of the brain metabolism during sleep has now come to a turning point, since the confirmation of sizeable cerebral anabolic processes would provide an outstanding argument in favour of the restorative theory of sleep. In this case, a hypothesis, based on clinical findings and preliminary metabolic data, might be further proposed. The putative biosynthetic processes would not equally benefit all the components of the CNS but would primarily be devoted to the maintenance of an optimal synaptic function.
Sleep is hypothesized to be a restorative process that is important for the proper functioning of the immune system. Severity of disordered sleep in depressed- and alcoholic subjects correlates with declines in natural- and cellular immunity and is associated with alterations in the complex cytokine network. Sleep loss has a role in mediating these immune changes as experimentally induced partial night sleep deprivation replicates the kind of sleep loss found in clinical samples and induces a pattern of immune alterations similar to that found in depressed- and alcoholic patients. Despite evidence that sleep and sleep loss have effects on immune processes and nocturnal secretion of cytokines, the clinical significance of these immune changes is not known. Moreover, in view of basic evidence of a reciprocal interaction between sleep and cytokines, further research is needed to understand whether alterations in cytokines contribute to disordered sleep in patient populations.
Extant studies of age differences in cognitive processes relevant to risk taking and decision making, such as risk perception and risk appraisal, indicate few significant age differences in factors that might explain why adolescents engage in more risk taking than adults. The present analysis suggests that the greater propensity of adolescents to take risks is not due to age differences in risk perception or appraisal, but to age differences in psychosocial factors that influence self-regulation. It is argued that adolescence is a period of heightened vulnerability to risk taking because of a disjunction between novelty and sensation seeking (both of which increase dramatically at puberty) and the development of self-regulatory competence (which does not fully mature until early adulthood). This disjunction is biologically driven, normative, and unlikely to be remedied through educational interventions designed to change adolescents' perception, appraisal, or understanding of risk. Interventions should begin from the premise that adolescents are inherently more likely than adults to take risks, and should focus on reducing the harm associated with risk-taking behavior.
To investigate the relationship between the presence of a television set, a gaming computer, and/or an Internet connection in the room of adolescents and television viewing, computer game playing, and Internet use on the one hand, and time to bed, time up, time spent in bed, and overall tiredness in first- and fourth-year secondary-school children on the other hand.
A random sample of students from 15 schools in Flanders, Belgium, yielded 2546 children who completed a questionnaire with questions about media presence in bedrooms; volume of television viewing, computer game playing, and Internet use; time to bed and time up on average weekdays and average weekend days; and questions regarding the level of tiredness in the morning, at school, after a day at school, and after the weekend.
Children with a television set in their rooms went to bed significantly later on weekdays and weekend days and got up significantly later on weekend days. Overall, they spent less time in bed on weekdays. Children with a gaming computer in their rooms went to bed significantly later on weekdays. On weekdays, they spent significantly less time in bed. Children who watched more television went to bed later on weekdays and weekend days and got up later on weekend days. They spent less time in bed on weekdays. They reported higher overall levels of being tired. Children who spent more time playing computer games went to bed later on weekdays and weekend days and got up later on weekend days. On weekdays, they actually got up significantly earlier. They spent less time in bed on weekdays and reported higher levels of tiredness. Children who spent more time using the Internet went to bed significantly later during the week and during the weekend. They got up later on weekend days. They spent less time in bed during the week and reported higher levels of tiredness. Going out was also significantly related to sleeping later and less.
Concerns about media use should not be limited to television. Computer game playing and Internet use are related to sleep behavior as well. Leisure activities that are unstructured seem to be negatively related to good sleep patterns. Imposing more structure (eg, end times) might reduce impact.
Kemahiran ICT di kalangan guru pelatih IPTA Malaysia. Arah Pendidikan Sdn Bhd: Selangor
- Z A Bakar
Bakar, Z. A. (2008). Kemahiran ICT di kalangan guru pelatih IPTA Malaysia. Arah Pendidikan
Sdn Bhd: Selangor.
- J Born
- B Rasch
- S Gais
Born, J., Rasch, B., & Gais, S. (2006). Sleep to remember. The Neuroscientist 12(5), 410-424.
Ketagihan Penggunaan Internet Di Kalangan Remaja Sekolah Tingkatan 4 di Bandaraya Johor Bahru
- J Hassan
- R A Rashid
- R Shahrina
Hassan, J., Rashid, R. A., & Shahrina, R. (2012). Ketagihan Penggunaan Internet Di Kalangan
Remaja Sekolah Tingkatan 4 di Bandaraya Johor Bahru. Journal of Techinical,
Vocational & Engineering Education, 6, 23-43.
Negative Impact Of Modern Technology To The Children's Life And Their Development
- N Nahar
- S Sangi
- N Rosli
- A H Abdullah
Nahar, N., Sangi, S., Rosli, N., & Abdullah, A.H. (2018). Negative Impact Of Modern
Technology To The Children's Life And Their Development. UMRAN-International.
Journal of Islamic and Civilizatonal Studies, 5(1).
Online Game Addiction among Univesity Student
- L Wang
- S Zhu
Wang, L., & Zhu, S. (2011). Online Game Addiction among Univesity Student. International
Degree Project. Retrieved on 10 Nov 2020 from: https://www.divaportal.org/smash/get/diva2:602320/FULLTEXT01.pdf
Mobile phone use amongst students in a university in
- S N Zulkefly
- R Baharudin
Zulkefly, S. N., & Baharudin, R. (2009). Mobile phone use amongst students in a university in