Internet addiction and sleep problems: A systematic review and meta-analysis

Sleep Medicine Reviews, Journal Year: 2019, Volume and Issue: 47, P. 51 - 61

Published: July 4, 2019

Language: Английский

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Internet addiction and sleep quality among medical students during the COVID-19 pandemic: A multinational cross-sectional survey

PLoS ONE, Journal Year: 2021, Volume and Issue: 16(11), P. e0259594 - e0259594

Published: Nov. 5, 2021

Background The emergence of the COVID-19 pandemic has affected lives many people, including medical students. present study explored internet addiction and changes in sleep patterns among students during assessed relationship between them. Methods A cross-sectional was carried out seven countries, Dominican Republic, Egypt, Guyana, India, Mexico, Pakistan, Sudan, using a convenience sampling technique, an online survey comprising demographic details, information regarding COVID-19, Pittsburgh Sleep Quality Index (PSQI), Internet Addiction Test (IAT). Results In total, 2749 participants completed questionnaire. Of 67.6% scored above 30 IAT, suggesting presence addiction, 73.5% equal 5 PSQI, poor quality. found to be significant predictors quality, causing 13.2% variance Participants who reported related symptoms had disturbed higher levels when compared with those did not. diagnosis Those living diagnosed patient worse quality not have any patients their surroundings. Conclusion results this suggest that are two issues require addressing amongst Medical training institutions should do best minimize negative impact, particularly current pandemic.

Language: Английский

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A Multi- Mediation Analysis on the Impact of Social Media and Internet Addiction on University and High School Students’ Mental Health Through Social Capital and Mindfulness

International Journal of Environmental Research and Public Health, Journal Year: 2025, Volume and Issue: 22(1), P. 57 - 57

Published: Jan. 2, 2025

Social media addiction (SMA) and internet (IA) are increasingly prevalent, impacting mental health (MH) globally. This study investigates the mediating roles of mindfulness social capital (SC) in relationship between SMA, IA, MH among Ethiopian high school university students, contributing to Sustainable Development Goal (SDG) 3 good well-being. A cross-sectional was conducted with 1160 1473 students Dessie, Ethiopia. Participants completed validated questionnaires assessing mindfulness, SC, MH. Structural Equation Modeling (SEM) a multi- mediation Model (SMM) used examine hypothesized relationships. SEM revealed that both SMA IA had direct negative effect on students. Notably, SC significantly positively predicted MH, indicating their protective role against effects IA. Furthermore, or fully partially mediated highlighting crucial explaining association. provides evidence for buffering The findings highlight need educational interventions foster enhance student promote healthy digital environment. These results offer valuable insights educators, professionals, policymakers Ethiopia other developing countries facing similar challenges.

Language: Английский

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Relationship of sleep quality, smartphone dependence, and health-related behaviors in female junior college students

PLoS ONE, Journal Year: 2019, Volume and Issue: 14(4), P. e0214769 - e0214769

Published: April 3, 2019

Smartphone usage has become commonplace and impact on sleep quality among adolescents. Adolescent girls have a greater tendency toward problems. However, relationship of quality, smartphone dependence, health-related behaviors in female junior college students not been studied.This study had the two goals: to investigate between students' behaviors, identify predictors quality.This employed cross-sectional research approach gather 409 subjects at southern Taiwan, used structured questionnaire collect data. The consisted four parts: basic demographic data, Pittsburgh Sleep Quality Index, assessment Health Promoting Lifestyle Profile (HPLP). Logistic regression analysis was check for any association dependence or HPLP.Sleep significantly associated with degree total HPLP score, scores subscales nutritional behavior, self-actualization, interpersonal support, stress management behavior. lower subjects' was, better their was. Furthermore, score were significant quality.Smartphone is poor students. Improving (nutritional behavior) can also promote improvement quality.

Language: Английский

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Anxiety, depression, attitudes, and internet addiction during the initial phase of the 2019 coronavirus disease (COVID-19) epidemic: A cross-sectional study in México

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2020, Volume and Issue: unknown

Published: May 15, 2020

Abstract Objectives To describe the prevalence and distribution of anxiety depression among Mexican population, to examine its association with internet addiction during COVID-19 outbreak. Design A web-based cross-sectional study. Setting General population in México. Participants 561 subjects were recruited (71% female, mean age 30.7 ± 10.6 years). Interventions An online survey assess personal attitudes perceptions towards COVID-19, sleep-disorders related, version Hospital Anxiety Depression Scale (HADS) Internet Addiction Test (IAT) was applied. Primary secondary outcome measures Prevalence anxiety, depression, sleep disorders associated factors. Also, for compared an historic control group. Results During initial phase pandemic 50% (95% CI, 45.6% 54.1%) 27.6%, CI 23.8% 31.4%), respectively. We found a 51% (33% 50%) increase up 86% weeks lock-down According IAT questionnaire, 62.7% 58.6% 68.8%) our had some degree addiction. Odds ratio development symptoms 2.02 CI1.56-2.1, p=0.0001) 2.15 1.59-2.9, p=0.0001). In multivariate analysis, younger (p=0.006), problems (p=0.000), (p=0.000) depression. Conclusions Our study provides valuable information on psychological impact that has population. As other parts globe, Mexico, fear SARS-CoV-2 infection devastating consequences mental health, such as sleeping disturbances. abuse consequent overexposure rapidly spreading misinformation (infodemia) are Strengths limitations this have addressed immediate effect general Latin American country, specifically nation high density. Using (a specific tool dependency), we highly prevalent correlated used snowball sampling strategy; thus, is biased may not reflect actual pattern decided compare cohort, although group exactly matched studied mood like those reported previously Mexico. Other include response bias due fewer older participating, fact rigorously evaluated tool, states country represented work.

Language: Английский

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Internet addiction among college students in a Chinese population: Prevalence, correlates, and its relationship with suicide attempts

Depression and Anxiety, Journal Year: 2020, Volume and Issue: 37(8), P. 812 - 821

Published: May 12, 2020

Background Internet addiction is common, but its relationship with suicide attempts rarely reported among Chinese college students. This study aimed to investigate the prevalence and correlates of internet Methods A cross-sectional was conducted 8,098 students in Hunan province, China. We collected following data: demographic variables, suicidal behaviors, (Revised Addiction Scale), depression (Self-reporting Depression anxiety (Self-Rating Anxiety Scale). Results The 7.7% these Logistic regression analysis showed that good mother (1.730 [1.075, 2.784]), father (0.615 [0.427, 0.885]), family history mental disorders (2.291 [1.122, 4.676]), (1.987 [1.382, 2.857]), (2.016 [1.384, 2.937]), ideation (2.266 [1.844, (1.672 [1.258, 2.224]) were independent for addiction, adjusted R square this model 13.7%. Furthermore, participants 21.4%, (3.397 [1.058, 10.901]), (26.984 [11.538, 63.112]), plans (8.237 [3.888, 17.451]) predictors attempts, 51.6%. Conclusion Our results show common In addition, are very addicts, suggesting special measures attention should be provided according risk factors prevent their behavior.

Language: Английский

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Adolescents’ problematic internet and smartphone use is related to suicide ideation: Does emotional intelligence make a difference?

Computers in Human Behavior, Journal Year: 2020, Volume and Issue: 110, P. 106375 - 106375

Published: April 11, 2020

Language: Английский

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A Comprehensive Study on Social Network Mental Disorders Detection via Online Social Media Mining

IEEE Transactions on Knowledge and Data Engineering, Journal Year: 2017, Volume and Issue: 30(7), P. 1212 - 1225

Published: Dec. 25, 2017

The explosive growth in popularity of social networking leads to the problematic usage. An increasing number network mental disorders (SNMDs), such as Cyber-Relationship Addiction, Information Overload, and Net Compulsion, have been recently noted. Symptoms these are usually observed passively today, resulting delayed clinical intervention. In this paper, we argue that mining online behavior provides an opportunity actively identify SNMDs at early stage. It is challenging detect because status cannot be directly from activity logs. Our approach, new innovative practice SNMD detection, does not rely on self-revealing those factors via questionnaires Psychology. Instead, propose a machine learning framework, namely, Social Network Mental Disorder Detection (SNMDD), exploits features extracted data accurately potential cases SNMDs. We also exploit multi-source SNMDD SNMD-based Tensor Model (STM) improve accuracy. To increase scalability STM, further efficiency with performance guarantee. framework evaluated user study 3,126 users. conduct feature analysis, apply large-scale datasets analyze characteristics three types. results manifest promising for identifying users

Language: Английский

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Internet gaming disorder and comorbidities among campus-dwelling U.S. university students

Psychiatry Research, Journal Year: 2021, Volume and Issue: 302, P. 114043 - 114043

Published: June 6, 2021

Language: Английский

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Impact of Internet Addiction on Mental Health: An Integrative Therapy Is Needed

Integrative Medicine International, Journal Year: 2018, Volume and Issue: 4(3-4), P. 215 - 222

Published: Aug. 29, 2018

In the past few years internet addiction (IA) and gaming disorder (IGD) have become very frequent, leading to many personality psychiatric disorders including low self-esteem, impulsivity, poor sleep quality, mood disorder, suicide. IA has been included in Appendix III of Diagnostic Statistical Manual for Mental Disorders (DSM-5) as IGD. addition, leads neuroanatomical neurochemical alterations cortical thinning various components brain altered dopaminergic reward circuitry. Due widespread neuropsychiatric neurobiological implications IA, multiple therapeutic approaches are needed. Integrative therapy form yoga mindfulness proven be effective IA.

Language: Английский

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