Dataset Information

Relationship between internet addiction and sleep disturbance in high school students: a cross-sectional study.

ABSTRACT:

Background

The increase in the number of Internet users has increased Internet dependence worldwide. In adolescents, this dependence may interfere with sleep, which is important for the development of psychophysiological capabilities. However, few large-scale surveys have described the relationship between Internet addiction (IA) and sleep disturbance using standardized questionnaires. We conducted a survey in one prefecture in Japan to determine the relationship between sleep disturbance and IA in adolescents based on the categories of the Young Diagnostic Questionnaire (YDQ).

Methods

In 2016, high school students (N = 10,405, age range: 15-16 years) in all 54 daytime high schools in the selected prefecture were surveyed using a self-administered questionnaire. Participants with scores > 5.5 points on the Japanese version of the Pittsburgh Sleep Quality Index were defined as having a sleep disturbance. IA was evaluated using the YDQ: Participants with five to eight YDQ items present were classified as having IA; those with three or four items present were classified as "at risk of IA"; and those with two or less YDQ items were classified as "non-IA". Multiple logistic regression analysis was performed with sleep disturbance as the dependent variable, IA as the explanatory variable, and adjustments for eight other variables.

Results

High YDQ scores were associated with a high prevalence of sleep disturbance in boys and girls. These findings persisted after controlling for other factors in the multiple regression model.

Conclusions

Among Japanese adolescents, there was a significant independent relationship between IA and sleep disturbance.

SUBMITTER: Tokiya M

PROVIDER: S-EPMC7418409 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Publications

Relationship between internet addiction and sleep disturbance in high school students: a cross-sectional study.

Tokiya Mikiko M Itani Osamu O Otsuka Yuichiro Y Kaneita Yoshitaka Y

BMC pediatrics 20200811 1

<h4>Background</h4>The increase in the number of Internet users has increased Internet dependence worldwide. In adolescents, this dependence may interfere with sleep, which is important for the development of psychophysiological capabilities. However, few large-scale surveys have described the relationship between Internet addiction (IA) and sleep disturbance using standardized questionnaires. We conducted a survey in one prefecture in Japan to determine the relationship between sleep disturbanc ...[more]

PMID: 32782022

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Project description:BackgroundInternet addiction has emerged as a major global concern as a potential adverse impact of internet exposure on adolescents. Internet addiction is associated with many demographic variables; however, there is a lack of consensus on its relationship with health literacy. Therefore, the aim of the present study was to assess the rates of internet addiction and health literacy level among middle school students (grades 7 to 12) in Chongqing, China, as well as to investigate the association between them.MethodsA cross-sectional, questionnaire-based study was conducted among 8971 students who were randomly selected by using stratified cluster sampling between November and December 2019. The Internet Addiction Diagnostic Questionnaire, Adolescent Health Literacy Scale and a self-designed basic information questionnaire were used to collect data. Chi-square tests were performed to compare the differences in the distribution of internet addiction across health literacy levels as well as some sociodemographic characteristics. Multivariate logistic regression analyses were conducted to identify the association between health literacy and internet addiction.ResultsThe prevalence of internet addiction among middle school students in Chongqing was 6.1%. The percentage of the students who spent more than 4 hours online every day in the past week was 14.3%. In addition, 26.7%, 26.0%, 28.3% and 26.3% of the participants reported low functional, interactive, critical and total health literacy, respectively. After adjusting for the confounding effects of demographics, multivariate regression analysis showed that critical health literacy was a protective variable for internet addiction, while functional, and interactive health literacy were the risk variable (P<0.05). Furthermore, the internet addiction rates were higher among boys, students with good peer relationships, and students without parental supervision, whereas internet addiction rates were lowest among students in grade 12.ConclusionsThe prevalence of internet addiction among middle school students in Chongqing is relatively high. Internet addiction is strongly negatively associated with critical health literacy, but it is positively associated with functional and interactive health literacy but not total health literacy. This study provides preliminary evidence for the predictive role of health literacy in internet addiction of adolescents.

Project description:BackgroundOver 40% of Taiwanese College students experience sleep problems that not only impair their quality of life but also contribute to psychosomatic disorders. Of all the factors affecting the sleep quality, internet surfing is among one of the most prevalent. Female college students are more vulnerable to internet-associated sleep disorders than their male counterparts. Therefore, this study aims to investigate (1) the relationship between internet addiction and sleep quality, and (2) whether significant variations in sleep quality exist among students with different degrees of internet use.MethodsThis structured questionnaire-based cross-sectional study enrolled students from a technical institute in southern Taiwan. The questionnaire collected information on the following three aspects: (1) demography, (2) sleep quality with Pittsburgh Sleep Quality Index (PSQI), and (3) severity of internet addiction using a 20-item Internet Addiction Test (IAT). Multiple regression analysis was performed to examine the correlation between PSQI and IAT scores among the participants. Logistic analysis was used to determine the significance of association between PSQI and IAT scores.ResultsIn total, 503 female students were recruited (mean age 17.05 ± 1.34). After controlling for age, body mass index, smoking and drinking habits, religion, and habitual use of smartphone before sleep, internet addiction was found to be significantly associated with subjective sleep quality, sleep latency, sleep duration, sleep disturbance, use of sleep medication, and daytime dysfunction. Worse quality of sleep as reflected by PSQI was noted in students with moderate and severe degrees of internet addiction compared to those with mild or no internet addiction. Logistic regression analysis of the association between scores on IAT and sleep quality, demonstrated significant correlations between quality of sleep and total IAT scores (odds ratio = 1.05:1.03 ∼ 1.06, p < 0.01).ConclusionThe results of this study demonstrated significant negative association between the degree of internet addiction and sleep quality, providing reference for educational institutes to minimize adverse effects associated with internet use and improve students' sleep quality.

Project description:ObjectiveTo estimate the prevalence of internet addiction and its associated factors among secondary-level private school students in an urban municipality in Nepal.DesignCross sectional.SettingPrivate schools in Budhanilkantha Municipality, Kathmandu District in Nepal.Participants376 secondary-level (grades 9-12) school students.Outcome measuresInternet addiction prevalence was the primary outcome measure. We conducted a cross-sectional survey using a self-administered structured questionnaire containing information on participants' sociodemographic profile, technological factors associated with internet use along with Young's internet addiction test, insomnia severity index and depression anxiety stress scales to assess internet addiction and associated factors. Pearson's χ2 tests and binary logistic regression were performed to examine the association between dependent and independent variables at a 5% level of significance.ResultThe prevalence of internet addiction was 51.10% (95% CI 46 to 55.60). Students who lived alone or with friends in an apartment had a higher likelihood of internet addiction compared with those living with their parents (adjusted odds ratio (AOR) 2.89, 95% CI 1.03 to 8.11). On the other hand, students residing in hostels were less likely to be affected (AOR 0.21, 95% CI 0.06 to 0.76). Additionally, spending 2 or more hours online per day was associated with a higher risk of internet addiction (AOR 2.09, 95% CI 1.20 to 3.63) compared with those who spent less than 2 hours per day online. Individuals with severe to extremely severe depression were more likely to have internet addiction (AOR 2.99, 95% CI 1.03 to 8.66) compared with individuals without depressive symptoms. Furthermore, a notable association was observed between internet addiction and insomnia. Individuals who experienced mild to moderate insomnia (AOR 5.19, 95% CI 2.93 to 9.19) and severe insomnia (AOR 21.09, 95% CI 2.09 to 212.91) were at significantly higher risk of internet addiction compared with those without clinically significant insomnia.ConclusionPrevalence of internet addiction among school-going adolescents in urban Nepal is high. Living situations, average time spent online, depression and insomnia are potential drivers of internet addiction.

Project description:Background The appearance of the Internet has allowed for improved communications and the technological development of society, but it has also led to problematic use, generating addictive behaviors in some university students. Emotional Intelligence helps to improve emotional skills, increase social skills, and act as a protective factor against technological addictions. Objectives to describe and analyze the relationship between Internet Addiction, Emotional Intelligence, and sociodemographic characteristics in Nursing students. Methods A multicenter cross-sectional study was conducted. Participants belonged to three different campuses of two Universities. 532 nursing students were included in the study. A self-administered questionnaire was used collecting sociodemographic variables and the TMMS-24 and IAT instruments were employed to measure Emotional Intelligence and Internet Addiction, respectively. Results 11.1% of the students presented Internet Addiction. Higher Internet Addiction scores were obtained by those who were younger, had a lower academic year, and were more involved in leisure activities. Adequate levels of Emotional Intelligence were found, women showed higher values of Attention and men of Repair. Students aged 24 or over reported higher Clarity and Repair values. There was an inverse relationship between Clarity and Repair with Internet Addiction values. Conclusions The ability to understand and regulate emotional states is related to lower Internet Addiction values. The group of Internet addicts revealed greater Attention and less Clarity. Internet Addiction values increased as the number of hours of Internet use increases. The development of programs which improve Emotional Intelligence could be essential to facilitate the emotional management of Internet Addiction. Highlights • Emotional Intelligence is related to lower values of Internet Addiction.• Internet Addiction grows as the number of leisure hours spent on Internet increases.• Emotional Intelligence can be a protective factor against technological addictions.

Project description:BackgroundSleep disorders are common in high school students. Despite the growing global attention to adolescent sleep issues, limited research has focused on the knowledge, attitude, and practice (KAP) of high school students toward sleep disorders in China, where academic pressure is particularly high. This study addresses this gap by exploring the KAP of Chinese high school students toward sleep disorders, providing insights for targeted educational interventions.MethodsA cross-sectional study was conducted at six schools between November 10, 2023, and December 20, 2023. Demographic characteristics, the Self-Rating Scale of Sleep (SRSS), and the KAP scores of the participants were collected using a self-administered questionnaire.ResultsA total of 800 valid questionnaires were collected. The mean scores for the SRSS were 23.51 ± 6.18 (possible range: 10-50), for knowledge were 10.00 ± 4.84 (possible range: 0-18), for attitude were 35.53 ± 4.23 (possible range:9-45), and for practice were 28.85 ± 6.29 (possible range:8-40), respectively. The structural equation modeling (SEM) model demonstrated that sleep quality directly influenced knowledge (β = -0.154, p < 0.001), attitude (β = -0.169, p < 0.001), and practice (β = -0.356, p < 0.001). Knowledge also had a direct effect on attitude (β = 0.216, p < 0.001) and practice (β = 0.394, p < 0.001), and attitude directly affected practice (β = 0.141, p = 0.042).ConclusionsThis study highlights significant knowledge gaps about sleep disorders among Chinese high school students, which could hinder their ability to manage these issues effectively. By focusing on this unique population under substantial academic pressure, the findings underscore the urgent need for tailored educational programs to promote better sleep habits and overall well-being. Educational interventions that enhance knowledge about sleep disorders should be implemented in high school curricula to bridge these gaps and improve sleep-related outcomes.

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Dataset Information

Relationship between internet addiction and sleep disturbance in high school students: a cross-sectional study.

Background

Methods

Results

Conclusions

Publications

Relationship between internet addiction and sleep disturbance in high school students: a cross-sectional study.

Similar Datasets

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