The association between internet usage and sleep problems among Japanese adolescents: three repeated cross-sectional studies

Association between personality characteristics and sleep quality among Chinese middle-aged and older adults: evidence from China family panel studies

BACKGROUND

Poor sleep quality will have adverse effects on physical and mental health, quality of life and other aspects of middle-aged and older adults. Sleep quality is affected by many factors. Whether the sleep quality measures of the participants had changed in the previous or subsequent time period is not easily taken into account. Moreover, there have been no studies on this topic in Chinese middle-aged and older adults. The objective of this study was to mitigate the bias of sleep quality assessment, and analyze the association between personality traits and sleep quality in Chinese middle-aged and older adults.

METHODS

The data came from the China Family Panel Studies (CFPS). A total of 6031 participants aged ≥ 45 years were included in this study. Personality characteristics were evaluated based on the scores of each dimension of Big Five personality traits. Sleep duration and sleep perception were used as indicators to measure sleep quality. Logistic models were used to analyze the relationship between personality traits and sleep duration or sleep perception, respectively.

RESULTS

4.5% of the participants had abnormal sleep duration, and 14.4% had a pessimistic sleep perception. Conscientiousness was rated the highest among the personality traits (3.97 ± 0.6). Participants with higher scores for extraversion personality traits had more normal sleep duration (OR = 0.77, 95% CI: 0.64-0.93) and more optimistic sleep perception (OR = 0.86, 95% CI: 0.76-0.96). Using the Internet and feeling unwell in the past week have a moderating effect on the impact of conscientiousness personality characteristics on sleep duration or sleep perception, respectively (but not overall sleep quality). In addition, participants with a spouse or no recent physical discomfort tended to have a normal sleep duration and a more optimistic sleep perception.

CONCLUSIONS

The higher the score of extraversion personality traits, the better the overall sleep quality of middle-aged and older adults. Having a spouse and feeling unwell were the important factors affecting their sleep quality. Specific personality traits intervention should be carried out for middle-aged and older adults with poor sleep quality to make their personality traits are closer to extraversion. In addition, middle-aged and older adults without spouses should be encouraged to marry or remarry. We will strengthen health management and medical expenditures for middle-aged and older adults.

A School-Based Program for Problematic Internet Use for Adolescents in Japan

Despite the serious influence of problematic Internet use on mental health among Japanese adolescents, no randomized clinical trials have investigated universal school-based interventions for this potential health challenge. Therefore, this study aimed to assess the efficacy of a school-based educational program. This two-armed, parallel, cluster-based randomized clinical trial included 5312 students from 13 high schools situated in a mid-sized Japanese city. The students in the intervention arm received 10 weekly standardized sessions, including a combination of information provision and interactive sessions by schoolteachers. The students in the control group followed a standard school curriculum. A generalized estimating equation model was applied to assess the primary (Korean Scale for Internet Addiction [K-scale] score) and secondary (behavioral change status according to changes in the transtheoretical model smartphone addiction score and Internet usage time) outcomes two months after intervention completion. The intention-to-treat analysis included 2597 (97.2%) and 2504 (94.9%) students in the intervention and control groups, respectively. Nevertheless, a significant discrepancy emerged regarding the behavioral change status. Therefore, this school-based program did not improve the Internet or smartphone addiction scores among Japanese adolescents. Further studies are needed to develop appropriate interventions for adolescents.

The association of problematic usage of the internet with burnout, depression, insomnia, and quality of life among Hungarian high school students

Introduction

The extensive availability of the internet has led to the recognition of problematic usage of the internet (PUI) or so called internet addiction (IA), probably mostly involving adolescents.

Aim

Here we present a study focusing on the incidence and consequences (including burnout, which is relatively rarely studied) of internet addiction among high school students using a questionnaire-based non-random sampling cross-sectional survey. Included questionnaires were the Problematic Internet Use Questionnaire, the Maslach Burnout Inventory General Survey for Students MBI-GS (S), the 9-item short version of Beck Depression Inventory (BDI-SF), the Athens Insomnia Questionnaire and the EQ-5D (quality of life) questionnaire. Data were evaluated the exertion of Student's t-test, chi square test and Pearson's rank-order correlation. Logistic regression analysis was used to determine the significance of the different parameters as independently associated with PUI.

Results

Overall 3,000 paper-based questionnaires were successfully delivered and 2,540 responses received (response rate of 84.6%). 1,309 males (mean age 17.6 ± 1.43 years) (51.5%) and 1,231 females (mean age 17.5 ± 1.4 years) (48.5%) took part in our study. Problematic usage of the internet was detected in 486 (19.1%) students (232 males, mean age 17.6 ± 1.35 years and 254 females, mean age 17.34 ± 1.37 years). In a logistic regression analysis sleep disturbance (OR: 1.84, 95% CI: 1.83-2.03), depression (OR: 1.97, 95% CI: 1.77-2.02) and burnout (OR: 1.8, 95% CI: 1.16-1.94) were significantly associated with PUI.

Conclusion

Nearly one fifth of our study population suffered from PUI, which was strongly associated with school burnout, insomnia and depression, which underlines the importance of this phenomenon.

Longitudinal associations between traditional and cyberbullying victimization and depressive symptoms among young Chinese: A mediation analysis

BACKGROUND

The impacts of bullying victimization on psychological health are long-lasting. However, the longitudinal mediating processes of the association between being bullied (traditionally and in a cyber context) and depressive symptoms of Chinese youth remain underexplored, including across the sexes.

OBJECTIVE

This study investigated the longitudinal association between bullying victimization and depressive symptoms, including the mediating effects of physical health, healthy lifestyles, sleep quality, and academic achievements. Different pathways from traditional bullying and cyberbullying victimization regarding depressive symptoms were also explored, with a comparison across the sexes.

PARTICIPANTS AND SETTING

Data were obtained from the China Education Panel Survey, and ninth graders aged approximately 15 years constituted the baseline cohort.

METHODS

The baseline data and longitudinal data at two- and five-year follow-ups, respectively, were evaluated to estimate structural equation models.

RESULTS

Baseline traditional bullying and cyberbullying victimization significantly predicted subsequent depressive symptoms at both follow-ups (P < 0.001). Being bullied also predicted worse healthy lifestyles, poorer sleep quality, and lower academic achievements (P < 0.05), all significantly correlated with the development of depressive symptoms (P < 0.001) regarding both bullying victimizations. Physical health was the mediator of the traditional bullying victimization-depressive symptoms linkage (P < 0.05). Female victims have a relatively higher risk of depression versus male victims, with different mediating pathways from victimization to depressive symptoms.

CONCLUSIONS

Our findings strengthen the evidence of a longitudinal association between bullying victimization and depressive symptoms, provide new explanations for mechanisms of mediation, and highlight the importance of long-term comprehensive mental health interventions for victims of bullying.

Investigating Internet Addiction and Sleep Quality Correlation Among Students of Isfahan University of Medical Sciences in 2021

Background: The quality of sleep plays an important role in physical development, as well as maintaining physical and mental health. Approximately 20% of Iranian students suffer from Internet addiction, and 56% suffer from insomnia. Objectives: This study aimed to investigate the relevance of Internet addiction and sleep quality among Isfahan University of medical sciences students. Methods: This cross-sectional study was conducted as a questionnaire at the Medical Sciences University of Isfahan. The collected data had three components: (1) Demographic information, (2) sleep quality with the Pittsburgh Sleep Quality Index (PSQI), and (3) amount of internet use with a questionnaire of 20 Internet Addiction Tests (IAT). Logistic regression was used to find any association between Internet Addiction and Sleep quality. Results: A total of 562 female and male students participated in the study, with a mean age of 21.41 ± 1.87. Internet users with moderate and mild addiction had poorer sleep quality than those with normal and severe Internet addiction. Logistic regression analysis showed an association between Internet addiction scores and sleep quality (OR = 1.035: 1.02, 1.04, P < 0.001). In addition, poor sleep quality was also predicted by the subgroups "excessive internet use" and "anticipation". Conclusions: The relationship between internet addiction and sleep quality was significantly negative. Universities and all educational institutions can use it to control the effects of Internet abuse and the quality of sleep of students.

Effects of sleep quality on the association between problematic internet use and quality of life in people with substance use disorder

BACKGROUND

Problematic internet use, especially in people with substance use disorder, may negatively affect their quality of life (QoL). However, it is unclear whether sleep quality is a key mediator in the association between problematic internet use and QoL among people with substance use disorder.

AIMS

This study aimed to investigate the relationship between problematic internet use and QoL and how sleep quality may mediate the association between these two variables.

METHOD

Overall, 319 people (85% male) with substance use disorder (mean age 42.2 years, s.d. 8.9) participated in a cross-sectional study in Taiwan. The Smartphone Application-Based Addiction Scale, Bergan Social Media Addiction Scale, Internet Gaming Disorder-Short Form, Pittsburgh Sleep Quality Index and World Health Organization Quality of Life Questionnaire Brief Version were used.

RESULTS

The prevalence of sleep problems was 56%. There were significant and direct associations between sleep quality and two types of problematic internet use, and between sleep quality and different dimensions of QoL. All types of problematic internet use were significantly and negatively correlated with QoL. Mediated effects of sleep quality in relationships between the different types of problematic internet use and all dimensions of QoL were significant, except for problematic use of social media.

CONCLUSIONS

Different types of problematic internet use in people with substance use disorder may be directly associated with reduced QoL. Sleep quality as a significant mediator in this association may be an underlying mechanism to explain pathways between problematic internet use and QoL in this population.

The Association of Internet Use Intensity and Lifestyle Behaviors During the COVID-19 Pandemic: A Cross-Sectional Study in Chinese Adults

The COVID-19 pandemic substantially increased the intensity of internet use in humans, which has made public opinion around health and public perceptions of it more vital, and this phenomenon has had a significant impact on human lifestyle behavior. This study used cross-sectional data during the COVID-19 pandemic to explore how internet use intensity influenced lifestyle behaviors among adults, and compared the differences between samples of different ages. The findings showed that the internet use intensity among adults increased the probability of physical activity, staying up late, and high-quality eating behaviors, and that they had a statistically significant positive association. Such associations were also found in independent younger, middle-aged, and older samples. However, the internet use intensity elevated the probability of body weight gain only in the independent samples of younger, middle-aged, and older adults. Besides, internet use intensity was able to increase the probability of smoking & drinking only among the younger sample. Notably, the effect of internet use intensity on lifestyle behaviors, including body weight gain, physical activity, staying up late, and a high-quality diet, was strongest among the elderly, followed by the middle-aged, and weakest among the younger. In the process of rural and urban governance regarding citizens' health, public health agencies should remind citizens to spend a reasonable amount of time on internet use to reduce the probability of unhealthy lifestyle behaviors and improve their physical health.

Relationship between depressive symptoms and internet usage time among adolescents: Results from a nationwide survey

Adolescent depression is becoming a public health problem. In this study the association between depressive symptoms and internet usage time in adolescents was examined, with data collected from the China Education Tracking Survey (CEPS). The survey is publicly available and carried out nationwide. A logistic regression analysis was conducted with odds ratios (OR) and 95% confidence intervals (CI), the subgroup analysis examined the relationships between internet usage time and depressive symptoms. A total of 10,705 adolescents were involved, where 46.4% of them are caught by the internet for more than two hours per day. Adolescents keeping on the internet for 6-8 h per day were reported to have higher odds of depressive symptoms than adolescents who were free from it with the confounders of individual, family, and school adjusted, which were observed among groups with a medium family economic status without living with their father and with a sleep time less than nine hours. The results revealed that adolescents spending more time online had a higher risk of experiencing depression symptoms. This study suggested that it is helpful for mental health professionals to evaluate and develop prevention interventions for depressive symptoms in adolescents promptly through monitoring and managing online time.

Digital Addiction and Sleep

In 2020, the World Health Organization formally recognized addiction to digital technology (connected devices) as a worldwide problem, where excessive online activity and internet use lead to inability to manage time, energy, and attention during daytime and produce disturbed sleep patterns or insomnia during nighttime. Recent studies have shown that the problem has increased in magnitude worldwide during the COVID-19 pandemic. The extent to which dysfunctional sleep is a consequence of altered motivation, memory function, mood, diet, and other lifestyle variables or results from excess of blue-light exposure when looking at digital device screens for long hours at day and night is one of many still unresolved questions. This article offers a narrative overview of some of the most recent literature on this topic. The analysis provided offers a conceptual basis for understanding digital addiction as one of the major reasons why people, and adolescents in particular, sleep less and less well in the digital age. It discusses definitions as well as mechanistic model accounts in context. Digital addiction is identified as functionally equivalent to all addictions, characterized by the compulsive, habitual, and uncontrolled use of digital devices and an excessively repeated engagement in a particular online behavior. Once the urge to be online has become uncontrollable, it is always accompanied by severe sleep loss, emotional distress, depression, and memory dysfunction. In extreme cases, it may lead to suicide. The syndrome has been linked to the known chronic effects of all drugs, producing disturbances in cellular and molecular mechanisms of the GABAergic and glutamatergic neurotransmitter systems. Dopamine and serotonin synaptic plasticity, essential for impulse control, memory, and sleep function, are measurably altered. The full spectrum of behavioral symptoms in digital addicts include eating disorders and withdrawal from outdoor and social life. Evidence pointing towards dysfunctional melatonin and vitamin D metabolism in digital addicts should be taken into account for carving out perspectives for treatment. The conclusions offer a holistic account for digital addiction, where sleep deficit is one of the key factors.

Prevalence and Risk Factors of Problematic Internet Use among Hungarian Adult Recreational Esports Players

Background: Esports are highly prevalent in modern culture, particularly among young people, and are a healthy hobby for the majority of users. However, there is a possible link between video gaming (including esports) and problematic internet use (so-called internet addiction, IA), mostly involving adolescents. Methods: Here we present an online survey focusing on the prevalence and risk factors of internet addiction among adult esports players. Demographics included age, gender, family type, type of work, working years and daily internet use. Medical conditions associated with IA such as smoking, alcohol and drug intake, hypertension, diabetes, ischemic heart disease, musculoskeletal pain and history of depression were also recorded. Results: Overall, 2313 players including 176 females (7.6%) and 2137 males (92.4%) participated in our online survey. Age distribution was the following: 18−25 years 90.3% (2088/2313), 26−35 years 7.95% (184/2313), 36−45 years 0.86% (20/2313), 46−55 years 0.82% (19/2313), 56−62 years 0.04% (1/2313) and 62 years or older 0.04% (1/2313). Internet addiction was detected in 19.9% of players (461/2313) based on the Problematic Internet Use Questionnaire. In a multivariate analysis internet addiction was significantly associated with age between 18 and 25 (OR: 1.675, p = 0.002), being single (OR = 1.505, p = 0.014), internet use > 6 h daily (OR = 4.338, p < 0.001), having < 3 children (OR: 2.037, p = 0.023) and having secondary employment (OR = 1.789, p = 0.037). Regular alcohol intake (OR = 18.357, p < 0.001) and history of depression (OR= 5.361, p = 0.032) were also strongly correlated with IA. Conclusion: This is the first study from Hungary investigating the prevalence and risk factors of internet addiction among adult esports players. One out of five adult gamers suffered from IA. Our study also draws attention to increased risk within this group and risk factors such as younger age, family status and type of employment.

The Relationship Between Digital Activity and Bedtime, Sleep Duration, and Sleep Quality in Chinese Working Youth

PURPOSE

The study aims to examine whether and how digital activities influence sleep issues among working Chinese youth.

METHODS

This study used data from the China Family Panel Studies (CFPS) a Chinese population-based survey, and employed the multilevel ordinal logistic regression model (MOLRM) to test the associations between digital engagement (whether to engage in digital activity, frequency, and duration) and sleep issues (bedtime, sleep duration, and quality) among Chinese working youth. Additionally, the restricted cubic spline model (RCSM) was adopted to fit the MOLRM to evaluate the nonlinear relationship between digital activity duration and sleep quality, and thus determine the optimal range of digital activity duration.

RESULTS

The analysis included 7849 working young adults. The digital usage rate was 84.11%. Digital use was not significantly associated with average, workday, or free-day sleep duration, after controlling for all potential confounders. However, most digital activity indicators could significantly predict bedtime and sleep quality. Furthermore, the RCSM indicated a non-linear relationship pattern between digital activity duration and sleep quality, with a weekly peak point of 25 h. Age significantly moderated the relationship between digital activity, sleep duration and bedtime. Younger youth who used digital media more frequently and for a longer time tended to sleep later and had shorter sleep duration than older youth.

CONCLUSION

Digital usage significantly predicted later bedtime among Chinese working youth; however, it was not linked with sleep duration on workdays or free days. In parallel, a nonlinear correlation between digital activity duration and sleep quality indicated that appropriate digital activity duration (less than 25 h weekly) may contribute to good sleep quality.

The Association of Internet Addiction with Burnout, Depression, Insomnia, and Quality of Life among Hungarian High School Teachers

The extensive availability of Internet has led to the recognition of problematic Internet use (so called Internet addiction, IA) mostly involving adolescents. There are limited data about the prevalence and consequences of IA in adults especially among high school teachers. Here, we present a cross-sectional prospective study focusing on the association of Internet addiction with burnout, depression, insomnia, and lower quality of life among high school teachers taking many co-variates into account. Overall, 623 males (34.3%) and 1194 females (65.7%) participated in our study. Internet addiction was detected in 5.2% (95/1817) based on the Problematic Internet Use Questionnaire. Internet addiction was associated with severe burnout (10.5 vs. 2.7%, p < 0.001), moderate (36.8 vs. 1.7%, p < 0.001), and severe (6.3 vs. 0.1%, p < 0.001) depression, insomnia (23.1 vs. 11.4%, p < 0.001), and severe sleep disturbance (severe insomnia, 27.4 vs. 3.8%, p < 0.001) and lower quality of life in all domains (p < 0.001). There was also a significant correlation of the severity of the above-mentioned parameters and the severity of IA (overall scores, p < 0.001 in all cases). In a multivariate analysis including demographic criteria, risk factors medical conditions and the above-mentioned parameters as co-variates internet addiction was significantly associated with depression (OR = 3.836, CI: 2.92-5.44, p = 0.03), and insomnia (OR: 3.932, CI: 3.6-5.69, p = 0.002). This is the first study from Hungary and is one of the first studies showing the association of IA with mental issues, burnout, and lower quality of life among adults. It underlines the clinical importance of problematic Internet use among adults.