The effect of internet addiction and smartphone addiction on sleep quality among Turkish adolescents

The relationship between internet addiction, sleep quality, and psycho-social problems among secondary school students in Erbil, 2023-2024

OBJECTIVE

This study aimed to show the association between internet addiction (IA), sleep quality, and psycho-social problems among secondary school students DESIGN: A cross-sectional, descriptive, and correlational study design was used.

SAMPLE

A total of 557 students from four secondary schools in Erbil were selected using multistage cluster sampling MEASUREMENTS: The questionnaires of this research contained socio-demographic data, Internet Addiction Test (IAT), Pittsburgh Sleep Quality Index (PSQI), and Pediatric Symptom Checklist-Y (PSC-Y) questionnaire.

RESULTS

Findings indicated that students displayed a mild IA, averaging a score of 42.9 ± 19.18. Furthermore, the average sleep quality (PSQI) score was 8.95 ± 2.75, indicating moderate sleep disturbance, and the average score for psycho-social problems was 27.78 ± 13.29. Importantly, there was a strong and positive association between IA and psycho-social issues, as shown by a correlation coefficient of 0.31 (p < .001). Sleep quality was correlated with IA and psychosocial issues (p < .001, correlation values: .23 and .27, respectively) CONCLUSIONS: The study highlights the urgent need for health policymakers and nursing managers in Erbil to develop targeted interventions, such as awareness campaigns and digital well-being programs in school curricula, to mitigate the interlinked issues of IA, sleep quality, and psycho-social problems among students.

Reduced Health-Related Quality of Life Due to Mobile Phone Dependence in a Sample of Chinese College Students: The Mediating Role of Chronotype and Sleep Quality

PURPOSE

Presenting a chain mediation model to investigate whether mobile phone dependence results in a reduction in health-related quality of life (HRQoL) among Chinese college students, through the mediating effect of chronotype and sleep quality.

DESIGN AND SETTING

A cross-sectional survey was conducted on students from a Chinese university using a validated structured questionnaire.

SAMPLE

2014 freshmen.

MEASURES

The study measured the students' level of mobile phone dependence using the Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use. Chronotype and sleep quality were measured by the Chinese version of the Morningness-Eveningness Questionnaire (MEQ) and the Pittsburgh Sleep Quality Index (PSQI), respectively. HRQoL was evaluated using the five-level EuroQol five-dimensional questionnaire (EQ-5D-5L), including a descriptive system and a visual analog scale (VAS).

ANALYSIS

Descriptive statistical analysis, correlation analysis, and mediation analysis.

RESULTS

Mobile phone dependence had a significant negative effect on HRQoL as indicated by both the EQ-5D-5L index score and EQ-VAS score (P < .001 for both). Additionally, it was found to significantly predict chronotype (MEQ score) (β = -.546, P < .001) and sleep quality (PSQI score) (β = .163, P < .001). Chronotype negatively predict sleep quality (β = -.058, P < .001), and sleep quality was a significant negative predictor of HRQoL (EQ-5D-5L index score, β = -.008, P < .001; EQ-VAS score, β = -1.576, P < .001).

CONCLUSION

Mobile phone dependence negatively impacts students' HRQoL through chronotype and sleep quality, and there is a chain mediating effect. Students should consider making lifestyle changes to improve their HRQoL and promote health.

Sex differences of neural connectivity in internet gaming disorder and its association with sleep quality: an exploratory fMRI study

Objectives

Sex-specific differences in internet gaming disorder (IGD) neurophysiology remain underexplored. Here we investigated sex-related variability in regional homogeneity (ReHo) and functional connectivity (FC) in IGD and their correlations with sleep quality.

Methods

Resting-state functional magnetic resonance imaging (fMRI) scans were performed on 52 subjects with IGD and 50 healthy controls (HCs). Two-way ANOVA was used to examine sex and diagnosis interactions in ReHo and FC, followed by post-hoc analyses to explore FC biomarkers for different sexes.

Results

In ReHo analysis, the four groups showed significant sex and diagnosis interactions in the right middle frontal gyrus (rMFG). FC analysis with rMFG as the seed region revealed a significant sex and diagnosis interaction effect in FC of the rMFG with the bilateral postcentral gyrus (PoCG). In male IGD group, FC between the rMFG and the bilateral PoCG correlates strongly with daytime dysfunction score and the Pittsburgh sleep quality inventory (PSQI) total score.

Conclusion

These findings emphasize the importance of considering sexual dimorphism in the neurobiology of IGD, which might influence subsequent treatment strategies.

Addressing cortex dysregulation in youth through brain health check coaching and prophylactic brain development

The Carter Center has estimated that the addiction crisis in the United States (US), if continues to worsen at the same rate, may cost the country approximately 16 trillion dollars by 2030. In recent years, the well-being of youth has been compromised by not only the coronavirus disease 2019 pandemic but also the alarming global opioid crisis, particularly in the US. Each year, deadly opioid drugs claim hundreds of thousands of lives, contributing to an ever-rising death toll. In addition, maternal usage of opioids and other drugs during pregnancy could compromise the neurodevelopment of children. A high rate of DNA polymorphic antecedents compounds the occurrence of epigenetic insults involving methylation of specific essential genes related to normal brain function. These genetic antecedent insults affect healthy DNA and mRNA transcription, leading to a loss of proteins required for normal brain development and function in youth. Myelination in the frontal cortex, a process known to extend until the late 20s, delays the development of proficient executive function and decision-making abilities. Understanding this delay in brain development, along with the presence of potential high-risk antecedent polymorphic variants or alleles and generational epigenetics, provides a clear rationale for embracing the Brain Research Commission's suggestion to mimic fitness programs with an adaptable brain health check (BHC). Implementing the BHC within the educational systems in the US and other countries could serve as an effective initiative for proactive therapies aimed at reducing juvenile mental health problems and eventually criminal activities, addiction, and other behaviors associated with reward deficiency syndrome.

The Links Among Cumulative Ecological Risk and Smartphone Addiction, Sleep Quality in Chinese University Freshmen: A Two-Wave Study

Purpose

While previous research has highlighted the influence of family, school, and peer factors on smartphone addiction and sleep quality, the cumulative effects of these risk factors and their underlying causal relationships remain poorly understood. Therefore, based on the cumulative risk model and the bioecological model of human development, this study examined the longitudinal associations between cumulative ecological risk and smartphone addiction and sleep quality.

Methods

A survey was conducted among 653 Chinese university freshmen (mean age 18.56) at two distinct time points, with a 6-month interval. The initial assessment focused on family, school, and peer risk factors, while the subsequent assessment focused on smartphone addiction and sleep quality.

Results

Approximately 63.71% of university freshmen were found to be at risk of exposure. Compared to other risk-exposure groups, the group with no-risk exposure exhibited the lowest scores for smartphone addiction and sleep quality. The relationships between cumulative ecological risk and smartphone addiction and sleep quality displayed a linear pattern and a discernible "gradient effect". Smartphone addiction was identified as a fully mediating factor in the link between cumulative ecological risk and sleep quality, with a mediating effect value of 0.08 (representing 44.44% of the total effect).

Conclusion

University freshmen face various risks associated with their families, schools, and peers. The cumulative ecological risk can, directly and indirectly, impact sleep quality by influencing smartphone addiction. Given the observed "gradient effect" of cumulative ecological risk on smartphone addiction and sleep quality, it is imperative to adopt comprehensive risk prevention strategies to mitigate the impact of each risk factor.

Problematic smartphone use and two types of problematic use of the internet and self-stigma among people with substance use disorders

BACKGROUND AND AIMS

Guided by the Interaction of Person-Affect-Cognition-Execution (I-PACE) model and a self-stigma framework, this study aimed to investigate relationships between cognitive and affective self-stigma and behavioral self-stigma, problematic use of internet (PUI), and problematic smartphone use (PSU) among people with substance use disorders (SUDs). It also examined mediating roles for affective self-stigma in the relationships between cognitive self-stigma and behavioral self-stigma/PUI/PSU.

METHODS

Using a cross-sectional design, 530 participants diagnosed with SUDs in Taiwan were recruited from a psychiatric center in Taiwan. Mediation models were investigated using the Hayes' Process Macro Model 4.

RESULTS

Mediation analyses indicated that cognitive self-stigma was directly associated with behavioral self-stigma (p < 0.001), but not with either types of PUI or PSU (p-values ranging from 0.41 to 0.76). Affective self-stigma was directly related to behavioral self-stigma (p < 0.001), two types of PUI, and PSU (β = 0.24-0.30; all p < 0.001); cognitive self-stigma was indirectly associated with behavioral self-stigma (β = 0.53; 95  % bootstrapping CI = 0.46, 0.60), two types of PUI, and PSU (β = 0.20-0.25; 95  % bootstrapping CI = 0.08-0.14, 0.31-0.37) via a mediating effect of affective self-stigma.

DISCUSSION AND CONCLUSION

Findings support the I-PACE model in a self-stigma context. The findings also suggest that addressing affective self-stigma may help prevent or reduce behavioral self-stigma, PUI, and PSU among people with SUDs. Longitudinal studies are warranted to investigate over time relationships between self-stigma and PUI/PSU in people with SUDs.

The unique role of smartphone addiction and related factors among university students: a model based on cross-sectional and cross-lagged network analyses

Smartphone addiction is a global problem affecting university students. Previous studies have explored smartphone addiction and related factors using latent variables. In contrast, this study examines the role of smartphone addiction and related factors among university students using a cross-sectional and cross-lagged panel network analysis model at the level of manifest variables. A questionnaire method was used to investigate smartphone addiction and related factors twice with nearly six-month intervals among 1564 first-year university students (M = 19.14, SD = 0.66). The study found that procrastination behavior, academic burnout, self-control, fear of missing out, social anxiety, and self-esteem directly influenced smartphone addiction. Additionally, smartphone addiction predicted the level of self-control, academic burnout, social anxiety, and perceived social support among university students. Self-control exhibited the strongest predictive relationship with smartphone addiction. Overall, self-control, self-esteem, perceived social support, and academic burnout were identified as key factors influencing smartphone addiction among university students. Developing prevention and intervention programs that target these core influencing factors would be more cost-effective.

The Impact of Smartphone Addiction on Sleep Quality Among High School Students in Makkah, Saudi Arabia

Background Smartphones are Internet-accessible devices that everyone can use in any setting, and their popularity is growing. However, the pervasiveness of smartphone technology has raised concerns owing to its addictive effect among adolescents and its association with sleep quality and mental and physical health issues. Objectives This study aimed to determine the effect of smartphone addiction on sleep quality among secondary high schools in Makkah, Saudi Arabia. Methods The study was conducted on high school students in Makkah, Saudi Arabia, using an analytical cross-sectional design, from January 2023 to August 2023. The study used a multistage stratified random sampling technique to select participants. The data were collected from an online self-administered survey and analyzed using IBM SPSS Statistics for Windows (IBM Corp., Armonk, New York, United States). Results This study included 373 respondents. Among those, males represent two-thirds of the study population (66%), while females are 34%. The median age of the participants is 16 years old, and the interquartile range (IQR) is 6. Our results show that the median number of hours spent on mobile phones is six per day, and the IQR is 5. Furthermore, our findings reveal that the mean Smartphone Addiction Scale-Short Version (SAS-SV) score is 38.5 ± 10.8 out of 60, and the average global PSQI score is 6.63 ± 3.03 out of 21. The results show that the study participants have problems using smartphones longer than they intended, constantly checking them, and missing planned works due to smartphone use. There is a positive correlation between smartphone addiction and sleep quality (r = 0.261; p < 0.001), indicating that the respondents have worse sleep quality when smartphone addiction and the global PSQI increased. Conclusion Our study concluded that high school students in Makkah, Saudi Arabia, have high smartphone addiction. Moreover, high smartphone addiction is significantly associated with poor sleep quality. This study can help with the development of measures to improve better sleep quality among high school students.

Zhongyong thinking (doctrine of the mean) and internet addiction: The mediation of maladaptive cognition and the moderation of subject

Based on the cognitive-behavioral model of pathological internet use, this study explored the relationship between zhongyong thinking (doctrine of the mean) and internet addiction, and examined the mediation of maladaptive cognition and the moderation of subject. Convenience sampling was used to select 1,518 college students for the questionnaire. The participants were 15-26 years old (M = 19.77; SD = 1.45), including 776 male and 742 female students. The results showed that zhongyong thinking was significantly negatively correlated with maladaptive cognition (r = -0.19, p < 0.001) and internet addiction (r = -0.14, p < 0.001). Maladaptive cognition was significantly positively correlated with internet addiction (r = 0.46, p < 0.001). After controlling for age, gender, zhongyong thinking negatively predicted internet addiction (B = -0.06, p < 0.05), maladaptive cognition positively predicted Internet addiction (B = 0.45, p < 0.001). Zhongyong thinking negatively predicted maladaptive cognition (B = -0.19, p < 0.001). Moreover, the bias-corrected bootstrapping mediation test indicated that the process by which zhongyong thinking predicted Internet addiction through maladaptive cognition was significant, indirect effect = -0.08, SE = 0.01, 95% CI = [-0.11, -0.06]. Subject has no moderating effect on the relationship between zhongyong thinking and maladaptive cognition. The interaction between zhongyong thinking and subject was not a significant predictor of maladaptive cognition (B = 0.05, p > 0. 05). The present results suggest that zhongyong thinking as a traditional Chinese wisdom can still play an important role in regulating young people's behavior in the digital age.