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

Sleep Medicine Reviews, Год журнала: 2019, Номер 47, С. 51 - 61

Опубликована: Июль 4, 2019

Язык: 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, Год журнала: 2025, Номер 22(1), С. 57 - 57

Опубликована: Янв. 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.

Язык: Английский

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

PLoS ONE, Год журнала: 2019, Номер 14(4), С. e0214769 - e0214769

Опубликована: Апрель 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.

Язык: 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, Год журнала: 2020, Номер 37(8), С. 812 - 821

Опубликована: Май 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.

Язык: 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, Год журнала: 2021, Номер 16(11), С. e0259594 - e0259594

Опубликована: Ноя. 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.

Язык: 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), Год журнала: 2020, Номер unknown

Опубликована: Май 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.

Язык: 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, Год журнала: 2020, Номер 110, С. 106375 - 106375

Опубликована: Апрель 11, 2020

Язык: Английский

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

Psychiatry Research, Год журнала: 2021, Номер 302, С. 114043 - 114043

Опубликована: Июнь 6, 2021

Язык: 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, Год журнала: 2017, Номер 30(7), С. 1212 - 1225

Опубликована: Дек. 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

Язык: Английский

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Chronotype: implications for sleep quality in medical students

Chronobiology International, Год журнала: 2019, Номер 36(8), С. 1115 - 1123

Опубликована: Май 29, 2019

Medical students who suffer from poor sleep quality may be afflicted by distress. While the change of chronotype improve quality, few studies have focused on this association. The objective study is to analyze effects in medical while controlling for confounding covariate factors. A cross-sectional survey was conducted among 5497 students. Sleep chronotype, and lifestyle were measured according Pittsburgh Quality Index, Morningness-eveningness Questionnaire Health-promoting Lifestyle Profile. Hierarchical logistic regression influence various factors, especially effect quality. Our results showed that total score evening-types 5.43 ± 2.66, which significantly higher than morning-types (3.88 2.20, P < .001). Morning-type (OR = 0.40, 95%CI 0.29–0.55) intermediate-type 0.53, 0.41–0.69) had a lower risk compared evening-types. strongest predictor covariates (grade, gender, father's educational level, mother's internet addiction, mood state, midnight snack frequency, health-promoting profile). Based results, we believe evening-type improved shifting keep early hours.

Язык: Английский

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