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

Investigation of the correlation between internet addiction, obesity risk and sleep disorder in children

AIM

This study was performed with the aim of investigating the correlation and the effective factors between internet addiction, obesity risk and sleep disorders in children.

MATERIAL AND METHOD

The sample for this descriptive and relational search type study comprised the parents of 458 children aged 7-10 years attending a primary school in Turkey. Data were collected the Parent and Child Descriptive Information Form, Family Child Internet Addiction Scale (FCIAS), Family Nutrition and Physical Activity Tool (FNPAT) and Sleep Disturbance Scale for Children (SDSC).

RESULTS

There was a statistically significant, positive and weak correlation between the Body Mass Index (BMI) and FCIAS scores of children (p < 0.001). There was a statistically significant, negative and very weak correlation between FNPAT total score with FCIAS total score (p = 0.007). There was a statistically significant, positive and moderate correlation between SDSC total score and FCIAS total score (p < 0.001). According to regression analysis, FCIAS was a determinant at significant levels for FNPAT and SDSC (p < 0.05).

CONCLUSION

There was a relationship between internet addiction and obesity and sleep quality. As a result of the study, the increase in internet use was determined to negatively impact physical activity and health nutrition behavior, and to increase sleep disturbance.

IMPLICATIONS FOR PRACTICE

Pediatric nurses are recommended to give counseling to children and families about preventing obesity and the risk of sleep disorders by identifying children at risk in terms of internet addiction in the early period.

Exploring internet addiction and its associated factors among college students in Western Rajasthan, India: A mixed-methods study

Background

With near universal use of internet by college students, there is propensity for internet addiction (IA) among them. This study aimed to estimate the prevalence and predict the factors for internet addiction among college students in Jodhpur, Rajasthan, India, and qualitatively explore the factors associated with internet addiction.

Materials and Methods

Explanatory sequential (QUAN-QUAL) mixed-methods design was used. A cross-sectional questionnaire-based survey was conducted among three streams of undergraduate colleges (health, engineering, and others). Survey instruments included Young's internet addiction test (IAT), Pittsburgh Sleep Quality Index (PSQI), and Depression, Anxiety, and Stress Scale-21 (DASS-21) Items. Focus group discussions (FGDs) and in-depth interviews (IDIs) among the students with mild-to-moderate levels of addiction were conducted to understand the reasons for excessive internet use.

Results

The prevalence of internet addiction (IA) among the college students was 51% and the rates for mild, moderate, and severe addiction were 31.8%, 18.5%, and 0.7%, respectively. Predictors of IA were male gender, age in years, age of first internet use in years, urban origin, accessing internet at college, mobile internet use, using internet to make online friendship, sleep disturbance, depression, anxiety, and stress. Qualitative study identified five major themes related to situations initiating internet use for nonacademic purpose, content of internet use, triggers for internet overuse/addiction (IA), perceived impact of IA, and measures to overcome IA.

Conclusions

Internet addiction was found to be highly prevalent in college students across various streams. Qualitative results provide deeper insights into IA among college students. It is imperative to screen for IA among the students and devise suitable preventive interventions, which can be easily implemented at community level.

Relationship between smartphone addiction and eating disorders and lifestyle among Chinese college students

Purpose

Smartphone addiction has been a matter of serious concern among society and parents because of its high incidence and serious negative effects. This study aimed to determine the association between smartphone addiction and eating disorders and lifestyle changes among college students.

Methods

The present article is a descriptive, cross-sectional study involving 1,112 college students from several universities in Chengdu, China. The data were collected by using the Chinese version of the Mobile Phone Addiction Index (MPAI) and the Eating Attitudes Test-26 (EAT-26). In addition, the information on sociodemographic, lifestyle, and smartphone use were obtained through a self-administered questionnaire.

Results

The prevalence of smartphone addiction among the students involved in the study was 22.6%, of which 10.4% were at risk for eating disorders. Female students had higher MPAI scores and EAT-26 scores than male students (p < 0.001). The proportion of male students with a risk of eating disorders was significantly higher than that of female students (p < 0.05). The total EAT-26 scores of students with smartphone addiction were higher than that of others (p < 0.001). The correlation analysis indicated that the MPAI scores were significantly positively correlated with the EAT-26 scores, depression and anxiety, difficulty in falling asleep at night, the frequency of eating fast food and drinking carbonated soft drink (p < 0.01). In addition, the MPAI scores were significantly negatively correlated with skipping breakfast and the frequency of physical activity (p < 0.05).

Conclusion

Smartphone addiction is significantly associated with eating disorders, eating habits, and lifestyle. The influence of dietary habits and lifestyle needs to be considered for the prevention and development of an intervention for smartphone addiction among college students.

The role of social support on the relationships between internet use and sleep problems in adolescents during COVID-19 pandemic: a multicentre study

BACKGROUND

This study examines the frequency of problematic internet use and sleep problems in adolescents aged 14-18 years during the COVID-19 pandemic and identifies the impact of factors such as sociodemographic characteristics, internet habits, changes in daily life, and perceived social support on these problems.

METHODS

This multicentre study was a questionnaire-based online survey study. The questionnaire included the Young Internet Addiction Scale, the Pittsburgh Sleep Quality Index, and the Multidimensional Scale of Perceived Social Support, as well as questions about demographic information, internet habits, and changes in daily life during pandemic. Several multivariate Backward logistic regression models were run to determine the variables that predicted problematic internet use and poor sleep quality.

RESULTS

It was determined that the frequency of problematic internet use was 15.5%, and the frequency of poor sleep quality was 47.8%. Poor sleep quality was found 2.5 times higher in problematic internet users. The perceived social support was found insufficient in adolescents with problematic internet use and poor sleep quality. Various factors such as the excessive use of internet and social media, low school success, lack of physical activity, lack of rules for internet use at home, and worsening of relationships with parents were found to be predictive factors for these problems.

CONCLUSIONS

Problematic internet use during the pandemic is associated with worsening sleep quality in adolescents. It is important to create special interventions for problematic internet use and sleep problems that develop in adolescents as a result of restrictions during the pandemic.

Physical activity, sleep quality and life satisfaction in adolescents: A cross-sectional survey study

Background

Physical activity, sleep is an important component of adolescents' 24-h movement behavior, and life satisfaction predicts adolescent physical and mental health. However, few studies have explored the relationship between the two variables among Chinese high school students. Consequently, this study aimed to explore the relationship between sleep quality and life satisfaction among Chinese high school students.

Methods

This cross-sectional study was conducted in October 2020 in five high schools in Xuchang City, China. High school students from senior 1 to senior 3 were asked to fill up a questionnaire of demographic characteristics and validated screen instructions for sleep quality (Pittsburgh Sleep Quality Index) and life satisfaction (Satisfaction with Life Scale). The multivariate regression model was applied to explore the association between sleep quality and life satisfaction.

Results

A total of 1127 individuals (51.1% males) participated in this survey, and the prevalence of poor sleep quality was 42.3%. The mean score on the Satisfaction with Life Scale was 16.72 ± 5.67, according to the corresponding scoring criteria, with 15-19 being generally dissatisfied. After controlling for demographic variables, the contribution of subjective sleep quality (β = - 0.181, p < 0.01), sleep duration (β = - 0.080, p < 0.01) and daytime dysfunction (β = - 0.311, p < 0.01) to life satisfaction of high school students increased to 23.2%, indicating that subjective sleep quality, sleep duration, and daytime dysfunction were 22.9% predictive of life satisfaction among high school students. And also, physical activity on schooldays and weekend days were associated with better sleep quality and higher life satisfaction (p < 0.05).

Conclusions

Among Chinese high school students, the prevalence of sleep problems was high, and the majority of students held moderate life satisfaction. Sleep quality was positively correlated with life satisfaction among Chinese high school students, with better sleep quality resulting in higher life satisfaction among students.

Mediated effects of insomnia in the association between problematic social media use and subjective well-being among university students during COVID-19 pandemic

Recently, the use of social media has penetrated many aspects of our daily lives. Therefore, it has stimulated much debate and polarisation regarding its impact on mental well-being. The present study investigated the association between problematic use of social media, subjective well-being, and insomnia's potential mediator. A proportionate random sample was collected from a Univerity in Algeria between March and April 2020.The participants (n=288; mean [SD] age = 20.83 [2.13]) involved 101 (35.1%) males. Nearly three-fourths of the participants (n=214; 74.3%) used up more-than three hours daily surfing on social media. Their mean (SD) score was 15.64 (4.80) on the Bergan Social Media Addiction Scale, 16.19 (9.15) on the Arabic Scale of Insomnia, and 28.13 (7.90) on the overall subjective well-being. Structural equation modeling (SEM) revealed an indirect correlation between problematic use of social media and the overall subjective well-being of users. Similarly, the indirect but not direct effects were found for the overall subjective well-being subdomains. Moreover, all SEM models have a satisfactory fit with the data. Based on the results, it can be concluded that insomnia appears to play an important role in mediating the association between subjective well-being and problematic social media use. This suggests the importance of tackling the issues of insomnia and problematic use of social media for university students. It also has important implications in dealing with the misuse of social media, especially during the covid-19 pandemic.

Nightmare Distress as a Risk Factor for Suicide Among Adolescents with Major Depressive Disorder

PURPOSE

Nightmare is common and is also independently implicated in suicide risk among the adolescent population. Adolescents with major depressive disorder (MDD) are at an increased risk of suicide. Therefore, comorbid nightmares may amplify suicide risk among this clinical population. This study aimed to explore the effects of nightmares on suicide risk among adolescents with MDD.

PATIENTS AND METHODS

Subjects were 499 outpatients aged 12-18 in four large psychiatric hospitals clinic of China, from January 1 to October 31, 2021. Simultaneously, we matched 499 healthy controls according to gender and age. All participants underwent affective state (depressive and anxiety symptoms) and sleep variable (nightmare frequency/distress, insomnia symptoms, and daytime sleepiness) evaluation as well as MDD diagnoses and determination of suicide risk by a fully structured diagnostic clinical interview.

RESULTS

Adolescents with MDD reported a higher incidence of frequent nightmares (at least one night per week) and level of nightmare distress than healthy controls (22.0% vs 6.1%; 28.85 ± 11.92 vs 17.30 ± 5.61). Over half of the patients with suicide risk (51.6%) experienced frequent nightmares compared with approximately one-third of those at a risk for suicide (30.7%). Patients with suicide risk scored scientifically higher on sleep variables, depressive and anxiety symptoms than those without the risk. Further logistic regression analysis indicated that female gender, junior grade, recurrent depressive episode, severe nightmare distress and severe depressive symptoms were independently and significantly associated with suicide risk.

CONCLUSION

Our study provided evidence that adolescents with MDD experienced a higher prevalence of frequent nightmares and suffered more nightmare distress. Nightmare distress is an independent risk factor for suicide risk.

Sleep Quality Among Adolescents and Its Relation to Inhalant, Khat, and Internet Use, and Physical Illness: A Community-Based Exploratory Cross-Sectional Study

Sleep-related health problems are under investigated among adolescents in low-income countries, including our country, Ethiopia. Therefore, this study aimed to assess the sleep quality and its associated factors among adolescents aged 10 to 19 years in Ethiopia. A community-based cross-sectional study was conducted among 799 adolescents from May 27 to July 27, 2021, using a systematic random sampling technique. Sleep quality was assessed by using the Petersburg sleep quality index. The data was entered into Epi-data version 3.1 and exported to the Statistical Package for Social Science (SPSS) Version 21. A logistic regression model was used, and variables with a P-value less than .05 in the final fitting model were stated as independent predictors of poor sleep quality (PSQ). About 1 in 3 adolescents (38%) had a poor sleep quality. The rates of inhalant, khat, and internet use disorders were 16%, 38%, and 18%, respectively. Also, 27.4% of adolescents used alcohol as a sleep medication, and 75% of adolescents with internet addiction had PSQ. Moreover, adolescents with physical illness had about 4 times higher odds of association with PSQ (AOR = 3.76 and 95% CI = 2.30-6.15%CI), and inhalant use disorder (AOR = 1.98 and 95% CI = 1.29-3.04%CI), internet addiction (AOR = 3.33 and 95% CI = 2.09-5.30%CI), and khat use disorder (AOR = 1.74 and 95% CI = 1.11-2.73%CI), were positively associated with PSQ. PSQ was higher among adolescents, and problematic inhalants, khat, and internet use and physical illness were risk factors for PSQ.

Sleep disturbance and quality of life among university freshmen in Qinghai-Tibet Plateau of China

PURPOSE

University freshmen are particularly vulnerable as they are undergoing the transition from high school to university with a range of changes. Sleep problems among this group in the Qinghai-Tibet Plateau of China were barely studied. This study aimed to explore sleep disturbance, and its association with quality of life (QoL) and demographic and clinical characteristics among university freshmen in Qinghai-Tibet Plateau, China.

METHODS

A multistage stratified cluster random sampling method was performed to recruit student participants with a structured questionnaire to collect sociodemographic and clinical characteristics, and lifestyle behaviors. Sleep disturbance including three aspects of sleep disturbance (i.e., difficulty initiating sleep (DIS), difficulty maintaining sleep (DMS), and early morning awakening (EMA)) was assessed using standardized measurement. Multiple logistic regression models were applied to analyze the data.

RESULTS

Among included 2,769 freshmen, the prevalence of sleep disturbance was 14.8% (95% CI: 14.2-15.5%), and corresponding prevalence of DIS, DMS, and EMA was 8.2% (95% CI: 7.7-8.7%), 8.3% (95% CI: 7.8-8.8%), and 4.2% (95% CI: 3.8-4.6%), respectively. Freshmen with sleeping disturbance had significantly lower QoL in physical [F _{(1, 2769)} = 60.23, p < 0.001], psychological [F _{(1, 2769)} = 46.18, p < 0.001], social [F _{(1, 2769)} = 23.04, p < 0.001], and environment [F _{(1, 2769)} = 6.07, p = 0.01] domains. Multiple logistic regression analyses revealed that having breakfast five times a week or less (less than three times, OR = 1.79, 95% CI: 1.34-2.40; 3-5 times, OR = 1.40, 95% CI: 1.09-1.79), self-perceived severe Internet dependence (OR = 1.71, 95% CI: 1.11-2.65), self-perceived poor health status (OR = 3.44, 95% CI: 2.06-5.74), high academic stress (OR = 1.42, 95% CI: 1.13-1.78), poor relationship with classmates (OR = 3.44, 95% CI: 1.53-7.71), and severe ADHD symptoms (OR = 1.08, 95% CI: 1.05-1.12) were positively associated with sleeping disturbance.

CONCLUSION

Sleep disturbance was common among freshmen and is associated with poorer QoL. Prevention and intervention strategies should be developed and implemented, especially among the vulnerable university freshman groups.

Association between nighttime urinary frequency and sleep problems among Japanese adolescents

OBJECTIVE

To conduct a cross-sectional study to investigate the relationship between nighttime urinary frequency and sleep problems in Japanese adolescents.

METHODS

A self-administered questionnaire survey was conducted among 1757 adolescents (mean age 15.6 ± 1.1 years; 49.0% boys). The survey assessed sleep problems (sleep duration, sleep quality, and insomnia symptoms), nighttime urinary frequency, eating habits (breakfast, late-night eating, energy drink consumption), problematic internet use, engagement in club activities, and mental health. We analyzed the association between nighttime urinary frequency and sleep problems using descriptive statistics and logistic regression models.

RESULTS

The response rate was 99.6% (1699 students). The prevalence of nighttime urinary frequency ≥2 was 5.6% in boys and 4.6% in girls. The prevalence rates of sleep problems were: insomnia, 16.4%; difficulty initiating sleep, 11.8%; difficulty maintaining sleep, 5.9%; early-morning awakening, 5.4%; and poor sleep quality, 19.9%. Analysis of the relationship with sleep problems differentiating between zero, one, and two nighttime urinations showed that an increase in nighttime urinary frequency corresponded to an increase in the prevalence of insomnia, difficulty initiating sleep, and difficulty maintaining sleep. Logistic regression analysis also showed that insomnia, difficulty initiating sleep, and difficulty maintaining sleep had a linear, significant relationship with increased nighttime urinary frequency.

CONCLUSION

This study suggests that adolescents with high nighttime urinary frequency experience increased sleep problems. Consideration of urinary frequency is required when tackling adolescent sleep problems.

Prevalence of Insomnia and Internet Dependence Amidst the COVID 19 among the Northeast Indian Population: A Preliminary Study

Introduction

COVID 19 pandemic lockdown affects normal daily activities making people vulnerable to sleep disorders, including insomnia and Internet addiction. The present study explores the prevalence of insomnia and Internet addiction amidst the pandemic while staying at home.

Methodology

Data have been collected from 585 individuals of both sexes online through social media using a structured questionnaire that consists of insomnia severity and Internet addiction. Chi square and logistic regression analysis were done to associate the insomnia severity with Internet use behavior and addiction.

Results

The overall prevalence of insomnia and subthreshold (mild) insomnia are 12.13% and 31.97%, respectively, with females had insomnia more than males. Internet addiction correlates with insomnia as staying online more than initially intended increases insomnia significantly.

Conclusion

COVID 19 pandemic lockdown affects sleep health as sleep-related disorders are on the rise, which could correlate to mental health. The study further seeks attention from researchers, health experts, and related stakeholders to develop a more holistic approach to uncover the problems and promote sleeping awareness.

Change of Internet Use and Bedtime among Junior High School Students after Long-Term School Closure Due to the Coronavirus Disease 2019 Pandemic

Most schools in Japan were closed in spring 2020 due to the novel coronavirus disease 2019 (COVID-19) pandemic. We investigated lifestyle and internet use among junior high school students across eight schools after long-term school closure and compared the data with those we obtained from previous surveys. In the summers of 2018, 2019, and 2020, we conducted questionnaire surveys on seventh-grade students from the same schools. In total, 2270 participants were analyzed. All questionnaires included items regarding background, bedtime, and internet use. The participants of the 2020 survey had significantly less sleepiness during classes and longer internet use times compared with those of the previous surveys. In the 2020 survey, the rate of problematic internet use (Young’s Diagnostic Questionnaire score, ≥5) was not significantly different from the results of previous surveys. The COVID-19 pandemic might have strongly influenced the sleepiness experienced by students in classes and increased the time spent using the internet since the summer of 2020. Our results indicate the need for attempts to encourage students to improve their sleep habits and moderate their media use.

Social Media Use and Sleep Disturbance among Adolescents: A Cross-Sectional Study

Objective: Recently, social media use has become prevalent in the daily lives of many adolescents. This study was performed to address adolescents' sleep quality and depression in relation to social media use. Method : This cross-sectional cluster-sampling study was directed on 576 high school students in 2019 in Hamadan, Iran. Three standard self-reported questionnaires were used for recording sleep patterns (Pittsburgh Sleep Questionnaire Index (PSQI)), depression (Beck), and Electronic Media Use. Data was analyzed using SPSS. P-values less than 0.05 were considered as being significant. Results: Among the adolescents 290 (50.3%) were female and the age median was 17. The average time of all Smart devices used was 7.5±4.4 hours per day. Among all students 62.3 % (359) said that they had their cell phone on in their bedroom when they sleep. In boys, the amount of social media use was significantly more than girls and poor sleep quality had a statically significant relationship with social media use (P-Value = 0.02). Additionally, there was a reverse correlation between the average use of electronic devices and sleep duration (Spearman's rho = 0.17; P-Value = 0.03), and a direct correlation between the average use in social media and depression (Spearman's rho = 0.171; P-Value < 0.001). Conclusion: In this important age group a high level of electronic devices use and its relationship with sleep quality, daily dysfunction, sleep duration and depression is worthy of issue awareness among health managers, parents and teachers for providing interventional programs, based on standard updated guidelines, in order to reduce the problem and familiarize adolescents and their parents, at home or school, with restrictions on using devices to view and participate in social media.

C. S, Shrestha S, Thapa DK. Internet addiction and sleep quality among adolescents in a peri-urban setting in Nepal: A cross-sectional school-based survey

Background

Excessive use of the internet among adolescents often led to later bedtimes and poor sleep quality. This study assessed the relationship between internet addiction and sleep quality among adolescents in a peri-urban setting in Nepal.

Method

This cross-sectional study employed a questionnaire survey among 390 adolescent students recruited from two schools in Kirtipur Municipality in Nepal. The Internet Addiction Test and the Pittsburgh Sleep Quality Index were used to assess internet addiction and poor sleep quality respectively. The association between internet addiction and sleep quality was analysed by logistic regression.

Results

One-fifth (21.5%) of the participants were identified with borderline internet addiction and 13.3% with possible internet addiction. Poor sleep quality was found among 31% of the participants. Internet addiction was significantly associated with poor sleep quality (OR = 1.85, p = 0.022 for borderline, and OR = 3.98, p = <0.001 for possible internet addiction compared to no internet addiction).

Conclusion

Adolescents with internet addiction were more vulnerable to suffer from poor sleep quality. It is recommended that municipalities and schools should aware the adolescent students on the adverse effects of excessive internet use including poor sleep quality. The findings have implications for adolescents, parents, school authorities and researchers.