The relationship between subthreshold psychiatric symptoms and Internet Addiction in an Italian population DOI
Rosa De Stefano, Clemente Cedro, Fiammetta Iannuzzo

и другие.

Psychiatry Research, Год журнала: 2022, Номер 317, С. 114914 - 114914

Опубликована: Окт. 17, 2022

Язык: Английский

Understanding the relationships among adolescents’ internet dependence, reward, cognitive control processing, and learning burnout: a network perspective in China DOI Creative Commons
Haotian Wu, Guangteng Meng,

Lingxiao Wang

и другие.

BMC Psychiatry, Год журнала: 2024, Номер 24(1)

Опубликована: Сен. 5, 2024

Язык: Английский

Процитировано

3

Internet use May be associated with the severity of headache in migraine patients: results from a Hungarian tertiary headache center DOI Creative Commons
Anett Csáti,

F Horváth,

Délia Szok

и другие.

BMC Public Health, Год журнала: 2025, Номер 25(1)

Опубликована: Март 18, 2025

Abstract Background Migraine as a prevalent primary headache disorder affects mainly the young population. Migraines worsen quality of life and are responsible for main cause disability worldwide. Apart from well-known lifestyle factors, spread digitalization seems to influence frequency well severity migraine attacks, however clinical studies still lacking. Here we present prospective single-center cross-sectional study focusing on possible negative effects being online problematic internet use during attacks taking many covariates into account. Methods patients were recruited Headache Outpatient Clinic Department Neurology, University Szeged, Hungary. Socio-demographic data, medical history migraine, details activities recorded questionnaires addiction. Results A total 192 ( n = 166 female; 26 male) completed questionnaire package. After setup logistic regression among socio-demographic data age > 45 years (odds ratio, OR 1.101), married (OR 1.584), number children 2 1.227), secondary employment 2.349), while related only nighttime 1.330) was significantly associated with attacks. Conclusion This is first unfavorable in patients. Clinicians should be aware effect potential non-pharmacological aspect treatment.

Язык: Английский

Процитировано

0

Perceived social media addiction explained through perceived organizational support, burnout subscales, and the number of years on the job DOI
Fatima Zehra Allahverdi, Nükhet BAYER,

Mustafa Kart

и другие.

Acta Psychologica, Год журнала: 2025, Номер 255, С. 104976 - 104976

Опубликована: Апрель 6, 2025

Язык: Английский

Процитировано

0

Predictors of Adolescents’ Psychological Distress and Internet Addiction: the Role of Interpersonal Stress and School Burnout DOI
Xinwen Zhang, Chunkai Li

Journal of Child and Family Studies, Год журнала: 2023, Номер 33(4), С. 1070 - 1082

Опубликована: Июль 25, 2023

Язык: Английский

Процитировано

7

Link between job burnout antecedents and consequences: an empirical study on higher education faculty members in the Saudi context DOI
Ahmed M. Asfahani

Journal of Applied Research in Higher Education, Год журнала: 2023, Номер 16(2), С. 629 - 649

Опубликована: Июнь 28, 2023

Purpose This study aimed to examine the antecedents, correlates, and consequences of burnout among higher education faculty in Saudi Arabia using theoretical framework job demands-resources model. Design/methodology/approach Using a quantitative research design, cross-sectional survey was employed collect data from members across multiple universities. The constructs were measured validated scales, analysis included exploratory factor analysis, Pearson correlation factorial ANOVA, regression. Findings identified moderate levels burnout, confirming significant positive relationship with role conflict negative internal locus control. Burnout significantly contributed depression, insomnia, turnover intentions. However, no found between workplace when controlling for other variables. Research limitations/implications study's findings can inform policymakers academic administrators about measures alleviate thus contributing healthier work environments aligned Arabia's Vision 2030 goals. Originality/value extends model within context institutions Arabia, offering nuanced insights into dynamics university this region. Despite model's robustness, absence signals need more intricate understanding burnout's antecedents consequences.

Язык: Английский

Процитировано

6

Internet Addiction DOI Creative Commons
Gergely Fehér

Life, Год журнала: 2022, Номер 12(6), С. 861 - 861

Опубликована: Июнь 9, 2022

This topic was dedicated to the complexity of internet addiction and contains 23 articles submitted by prestigious workgroups originally launched as a Special Issue entitled "Internet Addiction" [...].

Язык: Английский

Процитировано

8

The Impact of Mental Health Predictors of Internet Addiction among Pre-Service Teachers in Ghana DOI Creative Commons
Harry Barton Essel, Dimitrios Vlachopoulos, Ralph Nyadu-Addo

и другие.

Behavioral Sciences, Год журнала: 2022, Номер 13(1), С. 20 - 20

Опубликована: Дек. 26, 2022

This study examined the prevalence of addictive Internet behavior and its links with mental health among pre-service teachers in Ghana. A descriptive, correlational design was employed 405 from colleges education a public university Ghana participating this study. The sample completed sociodemographic survey about loneliness, life satisfaction, depression, self-esteem, addiction scales (abridged form). results revealed that there significant relationship between teachers’ addiction, loneliness; however, depression least influential factor use. Additionally, statistically nexus satisfaction. In addition, all above-mentioned variables were discovered to explain 56.3% absolute variance Internet. Among linked dimensions, loneliness appeared be most significant. Institutional coping programs should established within scope administration, supporting health. Finally, development awareness campaigns on menaces associated usage through extracurricular is recommended.

Язык: Английский

Процитировано

8

Internet addiction among teachers: A systematic review DOI Open Access

S. He,

I‐Hua Chen

Environment and Social Psychology, Год журнала: 2024, Номер 9(6)

Опубликована: Апрель 3, 2024

The proliferation of Information and Communication Technology (ICT) within educational spheres has undeniably enriched pedagogical practices through the integration digital tools. Despite these advancements, escalating use ICT devices harbors potential for internet addiction among educators. This systematic review scrutinizes prevalence, symptomatology, predictive indicators in teaching profession, addition to examining its association with physical psychological well-being. Employing a methodical approach aligned PRISMA guidelines, an analysis 15 rigorously selected scholarly articles, sourced from Web Science Google Scholar, was conducted. findings reveal prevalence rate educators ranging 5.2% 35%, pinpointing specific behaviors that may predispose individuals higher risks. Given paucity research pertaining teachers, corpus articles ultimately incorporated into this study constrained. However, implications are multifaceted, highlighting critical need targeted interventions ameliorate detrimental effects on educators, thereby fostering more conducive learning environment.

Язык: Английский

Процитировано

1

Occupational burnout and their determinants among schoolteachers in Nepal: a cross-sectional study DOI Creative Commons
Netra Raj Paudel,

K C Prakash,

Radhika Ghimire

и другие.

BMC Psychiatry, Год журнала: 2024, Номер 24(1)

Опубликована: Июнь 27, 2024

Abstract Background Burnout syndrome attributable to cumulative stressors is highly prevalent among teachers. Despite this, knowledge of burnout schoolteachers in lower-middle-income countries are limited, therefore we aimed investigate self-reported occupational and associated factors Nepal. Methods A survey was conducted randomly selected 37 community schools Kathmandu, Nepal 2022, with a total sample 218 (70% male). Occupational assessed using the Nepali version validated Maslach Inventory (MBI-ES). MBI-ES consists 22 items assessing burnout, which were classified into emotional exhaustion (EE, 9 items, score range: 0–45), depersonalization (DP, 5 0–23), personal accomplishment (PA, 8 items; 3–48). The greater EE DP lower PA indicate higher level burnout. Various socio-demographic, lifestyle, work-related examined as determinants ANOVA multivariable linear regression models. Results mean scores EE, DP, 14.99 (Standard Deviation, SD = 9.79), 4.18 (SD 4.57), 42.11 6.82) respectively. Poor/moderate work ability contributed poorer ratings all three dimensions. Teaching special needs students whereas low physical activity alcohol intake only. Younger age, being married, language teaching, having disability, sub-optimal fitness, poor sleep quality, ever smoking Conclusion relatively high. Marital status, lifestyle behavioral, especially workability strong determinant Clinical trial registration number NCT05626543.

Язык: Английский

Процитировано

1

Mental issues, internet addiction and quality of life predict burnout among Hungarian teachers: a machine learning analysis DOI Creative Commons
Gergely Fehér,

Krisztián Kapus,

Antal Tibold

и другие.

BMC Public Health, Год журнала: 2024, Номер 24(1)

Опубликована: Авг. 27, 2024

Abstract Background Burnout is usually defined as a state of emotional, physical, and mental exhaustion that affects people in various professions (e.g. physicians, nurses, teachers). The consequences burnout involve decreased motivation, productivity, overall diminished well-being. machine learning-based prediction has therefore become the focus recent research. In this study, aim was to detect using learning identify its most important predictors sample Hungarian high-school teachers. Methods final consisted 1,576 teachers (522 male), who completed survey including sociodemographic health-related questions psychological questionnaires. Specifically, depression, insomnia, internet habits when why one uses internet) problematic usage were among tested study. Supervised classification algorithms trained assessed by two well-known Feature selection conducted recursive feature elimination. Hyperparameters tuned via grid search with 10-fold cross-validation. Due class imbalance, weights (i.e. cost-sensitive learning), downsampling hybrid method (SMOTE-ENN) applied separate analyses. model evaluation carried out on previously unseen holdout test sample. Results detected 19.7% included dataset. best predictive performance achieved random forest weigths (AUC = 0.811; balanced accuracy 0.745, sensitivity 0.765; specificity 0.726). Beck’s Depression Inventory scores, Athen’s Insomnia Scale subscales Problematic Internet Use Questionnaire self-reported current health status. Conclusions performances comparable previous studies; however, it note we our models samples suggesting higher levels generalizability. Another remarkable finding besides depression other variables such use time spent online also turned be burnout.

Язык: Английский

Процитировано

1